Zipf1 All Model with base treshold Test Data Result Obj Size Ignored

Result

Model Summaries

Model	Better than base % of the times
LR_1[cache_size=0.01,treshold=0.5]	0
LR_1_log[cache_size=0.01,treshold=0.5]	0
LR_1_mean[cache_size=0.01,treshold=0.5]	0
LR_1_robust_scaler[cache_size=0.01,treshold=0.5]	0
LR_1_std_scaler[cache_size=0.01,treshold=0.5]	0
LR_2[cache_size=0.01,treshold=0.5]	0
LR_2_log[cache_size=0.01,treshold=0.5]	0
LR_2_mean[cache_size=0.01,treshold=0.5]	0
LR_3[cache_size=0.01,treshold=0.5]	0
LR_3_log[cache_size=0.01,treshold=0.5]	0
LR_3_mean[cache_size=0.01,treshold=0.5]	0
LR_4[cache_size=0.01,treshold=0.5]	0
LR_4_log[cache_size=0.01,treshold=0.5]	0
LR_4_mean[cache_size=0.01,treshold=0.5]	0
LR_4_robust_scaler[cache_size=0.01,treshold=0.5]	0
LR_4_std_scaler[cache_size=0.01,treshold=0.5]	0
LR_5[cache_size=0.01,treshold=0.5]	0
LR_5_imba[cache_size=0.01,treshold=0.5]	0
LR_6[cache_size=0.01,treshold=0.5]	0
LR_6_imba[cache_size=0.01,treshold=0.5]	0
LR_7[cache_size=0.01,treshold=0.5]	0
LR_7_decay_rtime[cache_size=0.01,treshold=0.5]	0
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	0
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	0
LR_7_decay_vtime[cache_size=0.01,treshold=0.5]	0
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	0
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	0
LR_7_id[cache_size=0.01,treshold=0.5]	0
LR_7_w_0_5[cache_size=0.01,treshold=0.5]	0
LR_7_w_0_75[cache_size=0.01,treshold=0.5]	0
LR_8[cache_size=0.01,treshold=0.5]	0
LR_8_decay_rtime[cache_size=0.01,treshold=0.5]	0
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	0
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	0
LR_8_decay_vtime[cache_size=0.01,treshold=0.5]	0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	0
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	0
LR_8_id[cache_size=0.01,treshold=0.5]	0
LR_9[cache_size=0.01,treshold=0.5]	0
LR_9_decay_rtime[cache_size=0.01,treshold=0.5]	0
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	0
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	0
LR_9_decay_vtime[cache_size=0.01,treshold=0.5]	0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	0
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	0
LR_9_id[cache_size=0.01,treshold=0.5]	0
LR_decay_rtime[cache_size=0.01,treshold=0.5]	0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	0
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	0
LR_decay_vtime[cache_size=0.01,treshold=0.5]	0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	0
LR_id[cache_size=0.01,treshold=0.5]	0
LR_1[cache_size=0.1,treshold=0.5]	0
LR_1_log[cache_size=0.1,treshold=0.5]	0
LR_1_mean[cache_size=0.1,treshold=0.5]	0
LR_1_robust_scaler[cache_size=0.1,treshold=0.5]	0
LR_1_std_scaler[cache_size=0.1,treshold=0.5]	0
LR_2[cache_size=0.1,treshold=0.5]	0
LR_2_log[cache_size=0.1,treshold=0.5]	0
LR_2_mean[cache_size=0.1,treshold=0.5]	0
LR_3[cache_size=0.1,treshold=0.5]	0
LR_3_log[cache_size=0.1,treshold=0.5]	0
LR_3_mean[cache_size=0.1,treshold=0.5]	0
LR_4[cache_size=0.1,treshold=0.5]	0
LR_4_log[cache_size=0.1,treshold=0.5]	0
LR_4_mean[cache_size=0.1,treshold=0.5]	0
LR_4_robust_scaler[cache_size=0.1,treshold=0.5]	0
LR_4_std_scaler[cache_size=0.1,treshold=0.5]	0
LR_5[cache_size=0.1,treshold=0.5]	0
LR_5_imba[cache_size=0.1,treshold=0.5]	0
LR_6[cache_size=0.1,treshold=0.5]	0
LR_6_imba[cache_size=0.1,treshold=0.5]	0
LR_7[cache_size=0.1,treshold=0.5]	0
LR_7_decay_rtime[cache_size=0.1,treshold=0.5]	0
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	0
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	0
LR_7_decay_vtime[cache_size=0.1,treshold=0.5]	0
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	0
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	0
LR_7_id[cache_size=0.1,treshold=0.5]	0
LR_7_w_0_5[cache_size=0.1,treshold=0.5]	0
LR_7_w_0_75[cache_size=0.1,treshold=0.5]	0
LR_8[cache_size=0.1,treshold=0.5]	0
LR_8_decay_rtime[cache_size=0.1,treshold=0.5]	0
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	0
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	0
LR_8_decay_vtime[cache_size=0.1,treshold=0.5]	0
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	0
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	0
LR_8_id[cache_size=0.1,treshold=0.5]	0
LR_9[cache_size=0.1,treshold=0.5]	0
LR_9_decay_rtime[cache_size=0.1,treshold=0.5]	0
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	0
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	0
LR_9_decay_vtime[cache_size=0.1,treshold=0.5]	0
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	0
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	0
LR_9_id[cache_size=0.1,treshold=0.5]	0
LR_decay_rtime[cache_size=0.1,treshold=0.5]	0
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	0
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	0
LR_decay_vtime[cache_size=0.1,treshold=0.5]	0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	0
LR_id[cache_size=0.1,treshold=0.5]	100
LR_1[cache_size=0.2,treshold=0.5]	0
LR_1_log[cache_size=0.2,treshold=0.5]	0
LR_1_mean[cache_size=0.2,treshold=0.5]	0
LR_1_robust_scaler[cache_size=0.2,treshold=0.5]	0
LR_1_std_scaler[cache_size=0.2,treshold=0.5]	0
LR_2[cache_size=0.2,treshold=0.5]	0
LR_2_log[cache_size=0.2,treshold=0.5]	0
LR_2_mean[cache_size=0.2,treshold=0.5]	0
LR_3[cache_size=0.2,treshold=0.5]	0
LR_3_log[cache_size=0.2,treshold=0.5]	0
LR_3_mean[cache_size=0.2,treshold=0.5]	0
LR_4[cache_size=0.2,treshold=0.5]	0
LR_4_log[cache_size=0.2,treshold=0.5]	0
LR_4_mean[cache_size=0.2,treshold=0.5]	0
LR_4_robust_scaler[cache_size=0.2,treshold=0.5]	0
LR_4_std_scaler[cache_size=0.2,treshold=0.5]	0
LR_5[cache_size=0.2,treshold=0.5]	0
LR_5_imba[cache_size=0.2,treshold=0.5]	0
LR_6[cache_size=0.2,treshold=0.5]	0
LR_6_imba[cache_size=0.2,treshold=0.5]	0
LR_7[cache_size=0.2,treshold=0.5]	0
LR_7_decay_rtime[cache_size=0.2,treshold=0.5]	0
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	0
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	0
LR_7_decay_vtime[cache_size=0.2,treshold=0.5]	0
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	0
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	0
LR_7_id[cache_size=0.2,treshold=0.5]	0
LR_7_w_0_5[cache_size=0.2,treshold=0.5]	0
LR_7_w_0_75[cache_size=0.2,treshold=0.5]	0
LR_8[cache_size=0.2,treshold=0.5]	0
LR_8_decay_rtime[cache_size=0.2,treshold=0.5]	0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	0
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	0
LR_8_decay_vtime[cache_size=0.2,treshold=0.5]	0
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	0
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	0
LR_8_id[cache_size=0.2,treshold=0.5]	0
LR_9[cache_size=0.2,treshold=0.5]	0
LR_9_decay_rtime[cache_size=0.2,treshold=0.5]	0
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	0
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	0
LR_9_decay_vtime[cache_size=0.2,treshold=0.5]	0
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	0
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	0
LR_9_id[cache_size=0.2,treshold=0.5]	0
LR_decay_rtime[cache_size=0.2,treshold=0.5]	0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	0
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	0
LR_decay_vtime[cache_size=0.2,treshold=0.5]	0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	0
LR_id[cache_size=0.2,treshold=0.5]	100
LR_1[cache_size=0.4,treshold=0.5]	0
LR_1_log[cache_size=0.4,treshold=0.5]	0
LR_1_mean[cache_size=0.4,treshold=0.5]	0
LR_1_robust_scaler[cache_size=0.4,treshold=0.5]	0
LR_1_std_scaler[cache_size=0.4,treshold=0.5]	0
LR_2[cache_size=0.4,treshold=0.5]	0
LR_2_log[cache_size=0.4,treshold=0.5]	0
LR_2_mean[cache_size=0.4,treshold=0.5]	0
LR_3[cache_size=0.4,treshold=0.5]	0
LR_3_log[cache_size=0.4,treshold=0.5]	0
LR_3_mean[cache_size=0.4,treshold=0.5]	0
LR_4[cache_size=0.4,treshold=0.5]	0
LR_4_log[cache_size=0.4,treshold=0.5]	0
LR_4_mean[cache_size=0.4,treshold=0.5]	0
LR_4_robust_scaler[cache_size=0.4,treshold=0.5]	0
LR_4_std_scaler[cache_size=0.4,treshold=0.5]	0
LR_5[cache_size=0.4,treshold=0.5]	0
LR_5_imba[cache_size=0.4,treshold=0.5]	0
LR_6[cache_size=0.4,treshold=0.5]	0
LR_6_imba[cache_size=0.4,treshold=0.5]	0
LR_7[cache_size=0.4,treshold=0.5]	0
LR_7_decay_rtime[cache_size=0.4,treshold=0.5]	0
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	0
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	0
LR_7_decay_vtime[cache_size=0.4,treshold=0.5]	0
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	0
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	0
LR_7_id[cache_size=0.4,treshold=0.5]	0
LR_7_w_0_5[cache_size=0.4,treshold=0.5]	0
LR_7_w_0_75[cache_size=0.4,treshold=0.5]	0
LR_8[cache_size=0.4,treshold=0.5]	0
LR_8_decay_rtime[cache_size=0.4,treshold=0.5]	0
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	0
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	0
LR_8_decay_vtime[cache_size=0.4,treshold=0.5]	0
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	0
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	0
LR_8_id[cache_size=0.4,treshold=0.5]	0
LR_9[cache_size=0.4,treshold=0.5]	0
LR_9_decay_rtime[cache_size=0.4,treshold=0.5]	0
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	0
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	0
LR_9_decay_vtime[cache_size=0.4,treshold=0.5]	0
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	0
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	0
LR_9_id[cache_size=0.4,treshold=0.5]	0
LR_decay_rtime[cache_size=0.4,treshold=0.5]	0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	0
LR_decay_vtime[cache_size=0.4,treshold=0.5]	0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	0
LR_id[cache_size=0.4,treshold=0.5]	100
Offline Clock 1st iteration	0
Offline Clock 2nd iteration	100
Zipf Optimal Distribution	100

Promotion Reduced (%)

Model	Max	Min	Avg	Mdn
LR_1[cache_size=0.01,treshold=0.5]	54.1189	54.0982	54.1064	54.1065
LR_1_log[cache_size=0.01,treshold=0.5]	49.0082	48.9813	48.9945	48.9949
LR_1_mean[cache_size=0.01,treshold=0.5]	53.7278	53.2604	53.5578	53.6823
LR_1_robust_scaler[cache_size=0.01,treshold=0.5]	54.1265	54.103	54.1129	54.1133
LR_1_std_scaler[cache_size=0.01,treshold=0.5]	54.1292	54.1063	54.116	54.1168
LR_2[cache_size=0.01,treshold=0.5]	45.8245	45.7926	45.8099	45.8127
LR_2_log[cache_size=0.01,treshold=0.5]	58.0402	57.9786	58.0084	58.0127
LR_2_mean[cache_size=0.01,treshold=0.5]	57.8796	57.8278	57.8543	57.8521
LR_3[cache_size=0.01,treshold=0.5]	45.633	45.6	45.6171	45.6197
LR_3_log[cache_size=0.01,treshold=0.5]	57.4241	57.3728	57.3967	57.4004
LR_3_mean[cache_size=0.01,treshold=0.5]	57.2164	57.1678	57.1952	57.1968
LR_4[cache_size=0.01,treshold=0.5]	53.9201	53.9058	53.912	53.9113
LR_4_log[cache_size=0.01,treshold=0.5]	50.1762	50.1481	50.163	50.164
LR_4_mean[cache_size=0.01,treshold=0.5]	54.3545	53.9765	54.2102	54.3158
LR_4_robust_scaler[cache_size=0.01,treshold=0.5]	53.9261	53.9111	53.9172	53.9157
LR_4_std_scaler[cache_size=0.01,treshold=0.5]	53.9213	53.9068	53.9127	53.9113
LR_5[cache_size=0.01,treshold=0.5]	53.9286	53.9138	53.9211	53.9193
LR_5_imba[cache_size=0.01,treshold=0.5]	41.3928	41.358	41.3713	41.3662
LR_6[cache_size=0.01,treshold=0.5]	53.9196	53.9049	53.9117	53.9102
LR_6_imba[cache_size=0.01,treshold=0.5]	41.4103	41.3748	41.3892	41.384
LR_7[cache_size=0.01,treshold=0.5]	58.0835	58.065	58.0713	58.0668
LR_7_decay_rtime[cache_size=0.01,treshold=0.5]	56.4884	56.4581	56.4771	56.4821
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	34.2313	34.1913	34.2091	34.2059
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	45.1582	45.1236	45.1456	45.1473
LR_7_decay_vtime[cache_size=0.01,treshold=0.5]	63.6617	63.62	63.6488	63.656
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	0.00120657	0.0009003	0.00106129	0.0011401
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	25.7027	25.6594	25.6791	25.6759
LR_7_id[cache_size=0.01,treshold=0.5]	48.7371	48.712	48.7279	48.7291
LR_7_w_0_5[cache_size=0.01,treshold=0.5]	25.525	25.5074	25.516	25.5143
LR_7_w_0_75[cache_size=0.01,treshold=0.5]	41.5705	41.5356	41.5571	41.5667
LR_8[cache_size=0.01,treshold=0.5]	58.1436	58.1251	58.1344	58.1308
LR_8_decay_rtime[cache_size=0.01,treshold=0.5]	56.4736	56.4458	56.463	56.4691
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	34.2365	34.1957	34.2134	34.209
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	45.1495	45.1174	45.139	45.1424
LR_8_decay_vtime[cache_size=0.01,treshold=0.5]	63.6526	63.6064	63.6383	63.6434
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	0	0	0	0
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	24.7571	24.7182	24.7302	24.7213
LR_8_id[cache_size=0.01,treshold=0.5]	48.757	48.7355	48.7494	48.753
LR_9[cache_size=0.01,treshold=0.5]	58.3317	58.3163	58.3231	58.3185
LR_9_decay_rtime[cache_size=0.01,treshold=0.5]	56.4888	56.4576	56.476	56.4804
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	34.2111	34.1725	34.1891	34.1862
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	45.1412	45.1099	45.1313	45.1346
LR_9_decay_vtime[cache_size=0.01,treshold=0.5]	64.5077	64.469	64.4944	64.4977
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	0	0	0	0
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	23.0517	23.0227	23.0355	23.0339
LR_9_id[cache_size=0.01,treshold=0.5]	48.7327	48.7094	48.7249	48.7273
LR_decay_rtime[cache_size=0.01,treshold=0.5]	63.9045	63.8833	63.8961	63.8992
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	0	0	0	0
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	21.0626	21.0399	21.053	21.0563
LR_decay_vtime[cache_size=0.01,treshold=0.5]	78.9356	78.8953	78.9192	78.9232
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	0	0	0	0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	0	0	0	0
LR_id[cache_size=0.01,treshold=0.5]	32.2969	32.2541	32.2723	32.2721
LR_1[cache_size=0.1,treshold=0.5]	50.7059	50.6403	50.6794	50.6869
LR_1_log[cache_size=0.1,treshold=0.5]	50.5629	50.5054	50.5391	50.5473
LR_1_mean[cache_size=0.1,treshold=0.5]	56.2494	56.1883	56.2282	56.234
LR_1_robust_scaler[cache_size=0.1,treshold=0.5]	50.7024	50.6359	50.6755	50.6831
LR_1_std_scaler[cache_size=0.1,treshold=0.5]	50.7033	50.6362	50.6762	50.6836
LR_2[cache_size=0.1,treshold=0.5]	45.2205	45.1853	45.2007	45.1962
LR_2_log[cache_size=0.1,treshold=0.5]	56.7584	56.7193	56.7391	56.7443
LR_2_mean[cache_size=0.1,treshold=0.5]	56.6635	56.6314	56.6459	56.6496
LR_3[cache_size=0.1,treshold=0.5]	45.2239	45.1878	45.2031	45.1982
LR_3_log[cache_size=0.1,treshold=0.5]	56.7069	56.6659	56.6872	56.6925
LR_3_mean[cache_size=0.1,treshold=0.5]	56.6137	56.58	56.5949	56.597
LR_4[cache_size=0.1,treshold=0.5]	51.9413	51.8676	51.912	51.9257
LR_4_log[cache_size=0.1,treshold=0.5]	51.481	51.4141	51.4539	51.467
LR_4_mean[cache_size=0.1,treshold=0.5]	57.5785	57.4779	57.538	57.5545
LR_4_robust_scaler[cache_size=0.1,treshold=0.5]	51.9373	51.8626	51.9079	51.9215
LR_4_std_scaler[cache_size=0.1,treshold=0.5]	51.9459	51.8691	51.9152	51.9286
LR_5[cache_size=0.1,treshold=0.5]	51.958	51.8825	51.9285	51.9419
LR_5_imba[cache_size=0.1,treshold=0.5]	38.4618	38.3938	38.423	38.4113
LR_6[cache_size=0.1,treshold=0.5]	51.9456	51.8704	51.9155	51.9291
LR_6_imba[cache_size=0.1,treshold=0.5]	38.469	38.3999	38.4297	38.418
LR_7[cache_size=0.1,treshold=0.5]	59.2362	59.1994	59.2233	59.2247
LR_7_decay_rtime[cache_size=0.1,treshold=0.5]	63.9465	63.9038	63.9266	63.9337
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	28.5692	28.5202	28.538	28.5346
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	52.062	52.0046	52.041	52.054
LR_7_decay_vtime[cache_size=0.1,treshold=0.5]	59.9918	59.9463	59.9715	59.9793
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	0.926416	0.887802	0.904352	0.900935
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	34.4926	34.4349	34.4566	34.4537
LR_7_id[cache_size=0.1,treshold=0.5]	50.6339	50.555	50.601	50.6118
LR_7_w_0_5[cache_size=0.1,treshold=0.5]	29.9377	29.9018	29.9186	29.9179
LR_7_w_0_75[cache_size=0.1,treshold=0.5]	45.5771	45.5347	45.5614	45.562
LR_8[cache_size=0.1,treshold=0.5]	59.2181	59.1829	59.2057	59.2066
LR_8_decay_rtime[cache_size=0.1,treshold=0.5]	63.9446	63.9002	63.9235	63.9312
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	28.5571	28.5076	28.526	28.5238
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	51.9551	51.8869	51.9306	51.948
LR_8_decay_vtime[cache_size=0.1,treshold=0.5]	60.1868	60.1425	60.1657	60.1682
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	0.212244	0.17482	0.193878	0.193242
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	34.539	34.4772	34.5007	34.4972
LR_8_id[cache_size=0.1,treshold=0.5]	50.6249	50.5436	50.5903	50.6011
LR_9[cache_size=0.1,treshold=0.5]	59.2617	59.2255	59.249	59.2495
LR_9_decay_rtime[cache_size=0.1,treshold=0.5]	63.9373	63.8902	63.9144	63.9207
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	28.543	28.4933	28.5112	28.5068
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	51.9016	51.8346	51.8748	51.8849
LR_9_decay_vtime[cache_size=0.1,treshold=0.5]	60.2505	60.2055	60.2296	60.2324
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	0.0281544	0.0252565	0.0264548	0.0265709
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	34.4379	34.3807	34.4015	34.397
LR_9_id[cache_size=0.1,treshold=0.5]	50.6152	50.539	50.5837	50.5947
LR_decay_rtime[cache_size=0.1,treshold=0.5]	62.2431	62.1872	62.2175	62.2269
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	19.9354	19.8855	19.9158	19.9197
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	44.4933	44.4514	44.4708	44.4691
LR_decay_vtime[cache_size=0.1,treshold=0.5]	95.9061	95.8976	95.9029	95.9036
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	0	0	0	0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	0	0	0	0
LR_id[cache_size=0.1,treshold=0.5]	33.0657	33.0085	33.037	33.0343
LR_1[cache_size=0.2,treshold=0.5]	48.9285	48.8866	48.9053	48.9058
LR_1_log[cache_size=0.2,treshold=0.5]	51.6398	51.583	51.6184	51.6212
LR_1_mean[cache_size=0.2,treshold=0.5]	56.1303	56.1189	56.1236	56.1234
LR_1_robust_scaler[cache_size=0.2,treshold=0.5]	48.9361	48.8951	48.9127	48.9129
LR_1_std_scaler[cache_size=0.2,treshold=0.5]	48.915	48.8762	48.8935	48.8944
LR_2[cache_size=0.2,treshold=0.5]	45.075	45.026	45.0504	45.0499
LR_2_log[cache_size=0.2,treshold=0.5]	56.0714	56.0589	56.0675	56.07
LR_2_mean[cache_size=0.2,treshold=0.5]	56.1735	56.1604	56.1658	56.1638
LR_3[cache_size=0.2,treshold=0.5]	45.0802	45.0312	45.0553	45.0549
LR_3_log[cache_size=0.2,treshold=0.5]	56.0529	56.0376	56.0471	56.0493
LR_3_mean[cache_size=0.2,treshold=0.5]	56.151	56.1385	56.1437	56.142
LR_4[cache_size=0.2,treshold=0.5]	49.6087	49.5556	49.5781	49.5801
LR_4_log[cache_size=0.2,treshold=0.5]	52.3529	52.3202	52.3315	52.3282
LR_4_mean[cache_size=0.2,treshold=0.5]	57.2244	57.196	57.2055	57.2024
LR_4_robust_scaler[cache_size=0.2,treshold=0.5]	49.6061	49.5576	49.5778	49.579
LR_4_std_scaler[cache_size=0.2,treshold=0.5]	49.5937	49.5449	49.5646	49.5642
LR_5[cache_size=0.2,treshold=0.5]	49.5957	49.5459	49.5672	49.5682
LR_5_imba[cache_size=0.2,treshold=0.5]	35.6025	35.5926	35.5958	35.5945
LR_6[cache_size=0.2,treshold=0.5]	49.606	49.5576	49.5778	49.5788
LR_6_imba[cache_size=0.2,treshold=0.5]	35.6277	35.62	35.6239	35.6227
LR_7[cache_size=0.2,treshold=0.5]	59.3858	59.3529	59.3682	59.3645
LR_7_decay_rtime[cache_size=0.2,treshold=0.5]	66.8995	66.8546	66.875	66.8721
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	0.000849965	0.000619349	0.000711758	0.000679926
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	53.6677	53.6658	53.6668	53.6674
LR_7_decay_vtime[cache_size=0.2,treshold=0.5]	59.8093	59.7863	59.7971	59.7959
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	4.55626	4.52937	4.54327	4.54304
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	35.9216	35.8698	35.8926	35.8913
LR_7_id[cache_size=0.2,treshold=0.5]	51.5244	51.498	51.5158	51.5201
LR_7_w_0_5[cache_size=0.2,treshold=0.5]	29.2068	29.1773	29.1976	29.2006
LR_7_w_0_75[cache_size=0.2,treshold=0.5]	45.2877	45.2688	45.2752	45.2721
LR_8[cache_size=0.2,treshold=0.5]	59.3779	59.3451	59.3604	59.3574
LR_8_decay_rtime[cache_size=0.2,treshold=0.5]	66.9198	66.8755	66.8963	66.895
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	0	0	0	0
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	53.7185	53.7152	53.7165	53.7159
LR_8_decay_vtime[cache_size=0.2,treshold=0.5]	59.8017	59.7802	59.7899	59.7881
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	4.62462	4.59773	4.61148	4.61077
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	35.8916	35.8429	35.8637	35.8626
LR_8_id[cache_size=0.2,treshold=0.5]	51.5361	51.5086	51.5261	51.5302
LR_9[cache_size=0.2,treshold=0.5]	59.4066	59.3738	59.3893	59.3861
LR_9_decay_rtime[cache_size=0.2,treshold=0.5]	66.8726	66.8309	66.851	66.8496
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	0.00414881	0.00309892	0.00359077	0.00361985
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	47.907	47.8637	47.8889	47.8873
LR_9_decay_vtime[cache_size=0.2,treshold=0.5]	59.8153	59.7931	59.8038	59.803
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	4.43623	4.41164	4.42373	4.42291
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	35.8676	35.8206	35.8401	35.8388
LR_9_id[cache_size=0.2,treshold=0.5]	51.5331	51.5055	51.524	51.5294
LR_decay_rtime[cache_size=0.2,treshold=0.5]	65.5598	65.5148	65.5391	65.5437
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	0	0	0	0
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	49.8896	49.8702	49.879	49.8794
LR_decay_vtime[cache_size=0.2,treshold=0.5]	97.8342	97.8299	97.8322	97.8322
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	0	0	0	0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	0	0	0	0
LR_id[cache_size=0.2,treshold=0.5]	34.0538	34.0322	34.0401	34.0395
LR_1[cache_size=0.4,treshold=0.5]	47.679	47.6248	47.6513	47.6471
LR_1_log[cache_size=0.4,treshold=0.5]	53.6004	53.5133	53.5535	53.5565
LR_1_mean[cache_size=0.4,treshold=0.5]	56.1774	56.1442	56.1597	56.1563
LR_1_robust_scaler[cache_size=0.4,treshold=0.5]	47.6793	47.6217	47.6501	47.6458
LR_1_std_scaler[cache_size=0.4,treshold=0.5]	47.6618	47.6099	47.6353	47.63
LR_2[cache_size=0.4,treshold=0.5]	52.7435	52.6838	52.7129	52.7113
LR_2_log[cache_size=0.4,treshold=0.5]	55.5793	55.5449	55.5696	55.5757
LR_2_mean[cache_size=0.4,treshold=0.5]	56.1826	56.1433	56.1618	56.157
LR_3[cache_size=0.4,treshold=0.5]	45.4591	45.3881	45.4196	45.421
LR_3_log[cache_size=0.4,treshold=0.5]	55.5817	55.5481	55.5725	55.579
LR_3_mean[cache_size=0.4,treshold=0.5]	56.1745	56.1366	56.1545	56.1498
LR_4[cache_size=0.4,treshold=0.5]	49.0559	48.9897	49.0205	49.0172
LR_4_log[cache_size=0.4,treshold=0.5]	53.8212	53.7175	53.7639	53.7702
LR_4_mean[cache_size=0.4,treshold=0.5]	57.2367	57.1551	57.1941	57.1944
LR_4_robust_scaler[cache_size=0.4,treshold=0.5]	47.7227	47.6629	47.6895	47.6836
LR_4_std_scaler[cache_size=0.4,treshold=0.5]	47.6924	47.6328	47.6584	47.6522
LR_5[cache_size=0.4,treshold=0.5]	47.7061	47.6488	47.6741	47.6681
LR_5_imba[cache_size=0.4,treshold=0.5]	30.4881	30.3955	30.4244	30.4108
LR_6[cache_size=0.4,treshold=0.5]	47.7233	47.6627	47.6897	47.6849
LR_6_imba[cache_size=0.4,treshold=0.5]	30.6833	30.5817	30.6156	30.6029
LR_7[cache_size=0.4,treshold=0.5]	59.5458	59.4938	59.514	59.5067
LR_7_decay_rtime[cache_size=0.4,treshold=0.5]	59.6696	59.6298	59.6494	59.6452
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	3.95425	3.8717	3.90405	3.90182
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	32.8461	32.7577	32.7894	32.7867
LR_7_decay_vtime[cache_size=0.4,treshold=0.5]	59.3149	59.2213	59.2666	59.2741
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	3.99379	3.90988	3.94366	3.9441
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	32.8409	32.7518	32.7837	32.7803
LR_7_id[cache_size=0.4,treshold=0.5]	53.8065	53.751	53.7721	53.7617
LR_7_w_0_5[cache_size=0.4,treshold=0.5]	23.8235	23.7126	23.7677	23.7731
LR_7_w_0_75[cache_size=0.4,treshold=0.5]	40.9881	40.9229	40.9505	40.954
LR_8[cache_size=0.4,treshold=0.5]	59.5418	59.49	59.5097	59.5021
LR_8_decay_rtime[cache_size=0.4,treshold=0.5]	59.6621	59.6227	59.6426	59.6394
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	3.97674	3.89142	3.9258	3.92493
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	32.8346	32.7455	32.7772	32.7728
LR_8_decay_vtime[cache_size=0.4,treshold=0.5]	59.2998	59.2023	59.2485	59.2557
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	3.97674	3.89142	3.9258	3.92493
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	32.8466	32.7582	32.7899	32.7871
LR_8_id[cache_size=0.4,treshold=0.5]	53.79	53.7342	53.7552	53.7448
LR_9[cache_size=0.4,treshold=0.5]	59.5489	59.4975	59.517	59.5096
LR_9_decay_rtime[cache_size=0.4,treshold=0.5]	59.676	59.6376	59.6559	59.6513
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	3.93198	3.85022	3.88232	3.87906
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	32.8167	32.7269	32.7589	32.7553
LR_9_decay_vtime[cache_size=0.4,treshold=0.5]	59.3114	59.2161	59.2623	59.2698
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	3.9347	3.85215	3.88473	3.88183
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	32.8334	32.7449	32.7763	32.7715
LR_9_id[cache_size=0.4,treshold=0.5]	53.7912	53.7356	53.7563	53.7463
LR_decay_rtime[cache_size=0.4,treshold=0.5]	77.4655	77.4274	77.4485	77.4519
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	0	0	0	0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	0	0	0	0
LR_decay_vtime[cache_size=0.4,treshold=0.5]	99.0597	99.0545	99.0562	99.0554
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	0	0	0	0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	0	0	0	0
LR_id[cache_size=0.4,treshold=0.5]	37.7798	37.6454	37.6943	37.674
Offline Clock 1st iteration	0	0	0	0
Offline Clock 2nd iteration	43.4673	41.4753	42.6567	43.0175
Zipf Optimal Distribution	17.0869	6.59027	12.1282	13.1121

Miss Ratio Reduced (%)

Model	Max	Min	Avg	Mdn
LR_1[cache_size=0.01,treshold=0.5]	-3.30088	-3.31167	-3.30621	-3.30691
LR_1_log[cache_size=0.01,treshold=0.5]	-2.8345	-2.84422	-2.83928	-2.83929
LR_1_mean[cache_size=0.01,treshold=0.5]	-3.99662	-4.04962	-4.03214	-4.04288
LR_1_robust_scaler[cache_size=0.01,treshold=0.5]	-3.30112	-3.31241	-3.3066	-3.30691
LR_1_std_scaler[cache_size=0.01,treshold=0.5]	-3.30186	-3.31291	-3.30715	-3.30741
LR_2[cache_size=0.01,treshold=0.5]	-3.71197	-3.72137	-3.71727	-3.71805
LR_2_log[cache_size=0.01,treshold=0.5]	-4.91393	-4.93098	-4.92148	-4.92004
LR_2_mean[cache_size=0.01,treshold=0.5]	-4.94058	-4.95591	-4.94764	-4.94669
LR_3[cache_size=0.01,treshold=0.5]	-3.69174	-3.70039	-3.69644	-3.69733
LR_3_log[cache_size=0.01,treshold=0.5]	-4.84509	-4.8599	-4.85106	-4.8497
LR_3_mean[cache_size=0.01,treshold=0.5]	-4.86976	-4.88507	-4.87697	-4.87562
LR_4[cache_size=0.01,treshold=0.5]	-3.15258	-3.16482	-3.15825	-3.15861
LR_4_log[cache_size=0.01,treshold=0.5]	-2.88879	-2.90074	-2.89451	-2.89383
LR_4_mean[cache_size=0.01,treshold=0.5]	-3.86831	-3.9122	-3.89573	-3.90247
LR_4_robust_scaler[cache_size=0.01,treshold=0.5]	-3.15307	-3.16556	-3.15884	-3.15935
LR_4_std_scaler[cache_size=0.01,treshold=0.5]	-3.15258	-3.16507	-3.15835	-3.15885
LR_5[cache_size=0.01,treshold=0.5]	-3.15356	-3.16581	-3.15929	-3.15935
LR_5_imba[cache_size=0.01,treshold=0.5]	-2.01749	-2.02827	-2.02273	-2.02151
LR_6[cache_size=0.01,treshold=0.5]	-3.15258	-3.16482	-3.15825	-3.15861
LR_6_imba[cache_size=0.01,treshold=0.5]	-2.01872	-2.02975	-2.02407	-2.02295
LR_7[cache_size=0.01,treshold=0.5]	-3.68557	-3.70064	-3.69388	-3.69557
LR_7_decay_rtime[cache_size=0.01,treshold=0.5]	-3.0176	-3.03426	-3.02322	-3.02186
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	-0.832428	-0.841616	-0.837077	-0.838541
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	-1.75765	-1.76887	-1.76279	-1.76166
LR_7_decay_vtime[cache_size=0.01,treshold=0.5]	-5.59918	-5.61415	-5.60567	-5.60483
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	0	-0.000246808	-0.000148054	-0.000246702
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	-1.90768	-1.91523	-1.91144	-1.90972
LR_7_id[cache_size=0.01,treshold=0.5]	-2.30003	-2.31383	-2.30651	-2.30677
LR_7_w_0_5[cache_size=0.01,treshold=0.5]	-0.793682	-0.799412	-0.796607	-0.797055
LR_7_w_0_75[cache_size=0.01,treshold=0.5]	-2.01354	-2.02284	-2.01676	-2.01481
LR_8[cache_size=0.01,treshold=0.5]	-3.6952	-3.71076	-3.7035	-3.70497
LR_8_decay_rtime[cache_size=0.01,treshold=0.5]	-3.01562	-3.03228	-3.02129	-3.01974
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	-0.833169	-0.842109	-0.837669	-0.838788
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	-1.75741	-1.76789	-1.7621	-1.76092
LR_8_decay_vtime[cache_size=0.01,treshold=0.5]	-5.59696	-5.61168	-5.60354	-5.60267
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	0	0	0	0
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	-1.82897	-1.83719	-1.83272	-1.83169
LR_8_id[cache_size=0.01,treshold=0.5]	-2.29953	-2.31309	-2.30582	-2.30578
LR_9[cache_size=0.01,treshold=0.5]	-3.71543	-3.73001	-3.72275	-3.72372
LR_9_decay_rtime[cache_size=0.01,treshold=0.5]	-3.01686	-3.03401	-3.02258	-3.02112
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	-0.830948	-0.839888	-0.835497	-0.837031
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	-1.75642	-1.7669	-1.76111	-1.75994
LR_9_decay_vtime[cache_size=0.01,treshold=0.5]	-5.69689	-5.71065	-5.70205	-5.70079
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	0	0	0	0
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	-1.69226	-1.69854	-1.69542	-1.69454
LR_9_id[cache_size=0.01,treshold=0.5]	-2.28991	-2.30321	-2.29645	-2.29665
LR_decay_rtime[cache_size=0.01,treshold=0.5]	-5.40769	-5.41917	-5.41131	-5.40919
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	0	0	0	0
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	-2.1115	-2.11627	-2.11374	-2.11292
LR_decay_vtime[cache_size=0.01,treshold=0.5]	-7.4812	-7.49581	-7.48631	-7.48519
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	0	0	0	0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	0	0	0	0
LR_id[cache_size=0.01,treshold=0.5]	-0.577986	-0.58691	-0.583057	-0.584438
LR_1[cache_size=0.1,treshold=0.5]	-4.14973	-4.16384	-4.15709	-4.1564
LR_1_log[cache_size=0.1,treshold=0.5]	-4.01857	-4.02868	-4.02327	-4.02368
LR_1_mean[cache_size=0.1,treshold=0.5]	-7.04833	-7.06071	-7.055	-7.05716
LR_1_robust_scaler[cache_size=0.1,treshold=0.5]	-4.14927	-4.16291	-4.15652	-4.15594
LR_1_std_scaler[cache_size=0.1,treshold=0.5]	-4.15067	-4.16478	-4.15821	-4.15734
LR_2[cache_size=0.1,treshold=0.5]	-5.38921	-5.40088	-5.39681	-5.3983
LR_2_log[cache_size=0.1,treshold=0.5]	-7.1286	-7.14162	-7.13589	-7.13758
LR_2_mean[cache_size=0.1,treshold=0.5]	-7.12533	-7.13741	-7.13206	-7.13291
LR_3[cache_size=0.1,treshold=0.5]	-5.38968	-5.4014	-5.39718	-5.39877
LR_3_log[cache_size=0.1,treshold=0.5]	-7.11926	-7.13274	-7.12663	-7.12823
LR_3_mean[cache_size=0.1,treshold=0.5]	-7.11599	-7.12853	-7.1228	-7.12355
LR_4[cache_size=0.1,treshold=0.5]	-4.00101	-4.01699	-4.00877	-4.00686
LR_4_log[cache_size=0.1,treshold=0.5]	-4.04263	-4.05393	-4.04767	-4.04429
LR_4_mean[cache_size=0.1,treshold=0.5]	-6.61346	-6.63356	-6.62484	-6.62283
LR_4_robust_scaler[cache_size=0.1,treshold=0.5]	-4.00007	-4.01652	-4.0083	-4.00639
LR_4_std_scaler[cache_size=0.1,treshold=0.5]	-4.00007	-4.01652	-4.0083	-4.00639
LR_5[cache_size=0.1,treshold=0.5]	-4.00382	-4.02073	-4.01223	-4.01013
LR_5_imba[cache_size=0.1,treshold=0.5]	-2.51095	-2.52698	-2.519	-2.51868
LR_6[cache_size=0.1,treshold=0.5]	-4.00101	-4.01745	-4.00915	-4.00733
LR_6_imba[cache_size=0.1,treshold=0.5]	-2.51048	-2.52605	-2.51815	-2.51774
LR_7[cache_size=0.1,treshold=0.5]	-5.06395	-5.07163	-5.06717	-5.06612
LR_7_decay_rtime[cache_size=0.1,treshold=0.5]	-5.76907	-5.79047	-5.77488	-5.77175
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	-1.37545	-1.38881	-1.38055	-1.37908
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	-3.58103	-3.597	-3.58843	-3.5872
LR_7_decay_vtime[cache_size=0.1,treshold=0.5]	-7.69874	-7.71361	-7.70577	-7.70458
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	-0.0818208	-0.0855856	-0.0837891	-0.0837164
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	-3.8204	-3.8349	-3.82595	-3.82383
LR_7_id[cache_size=0.1,treshold=0.5]	-2.83415	-2.84917	-2.84237	-2.84269
LR_7_w_0_5[cache_size=0.1,treshold=0.5]	-1.14589	-1.15407	-1.15004	-1.1497
LR_7_w_0_75[cache_size=0.1,treshold=0.5]	-2.8898	-2.89687	-2.89287	-2.89088
LR_8[cache_size=0.1,treshold=0.5]	-5.06255	-5.07022	-5.06567	-5.06472
LR_8_decay_rtime[cache_size=0.1,treshold=0.5]	-5.7686	-5.79093	-5.77479	-5.77165
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	-1.37592	-1.38975	-1.38121	-1.38002
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	-3.55952	-3.57783	-3.56832	-3.56711
LR_8_decay_vtime[cache_size=0.1,treshold=0.5]	-7.73332	-7.74634	-7.73943	-7.73918
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	-0.0168238	-0.0196426	-0.0186096	-0.0187045
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	-3.826	-3.84144	-3.83175	-3.82944
LR_8_id[cache_size=0.1,treshold=0.5]	-2.83321	-2.8487	-2.84162	-2.84175
LR_9[cache_size=0.1,treshold=0.5]	-5.06676	-5.07443	-5.07025	-5.06939
LR_9_decay_rtime[cache_size=0.1,treshold=0.5]	-5.7672	-5.78953	-5.77339	-5.76988
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	-1.37872	-1.39255	-1.38401	-1.38282
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	-3.55204	-3.57034	-3.56093	-3.5601
LR_9_decay_vtime[cache_size=0.1,treshold=0.5]	-7.74314	-7.75757	-7.75056	-7.75181
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	-0.00233663	-0.00280614	-0.00271196	-0.00280568
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	-3.81292	-3.82741	-3.81847	-3.81635
LR_9_id[cache_size=0.1,treshold=0.5]	-2.82947	-2.84402	-2.83713	-2.83755
LR_decay_rtime[cache_size=0.1,treshold=0.5]	-6.84073	-6.85867	-6.84646	-6.84264
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	-2.25142	-2.25988	-2.25491	-2.25358
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	-4.60597	-4.61768	-4.61241	-4.61329
LR_decay_vtime[cache_size=0.1,treshold=0.5]	-16.0676	-16.0885	-16.0751	-16.0733
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	0	0	0	0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	0	0	0	0
LR_id[cache_size=0.1,treshold=0.5]	0.197833	0.183772	0.191986	0.191227
LR_1[cache_size=0.2,treshold=0.5]	-4.34532	-4.3589	-4.3518	-4.35281
LR_1_log[cache_size=0.2,treshold=0.5]	-4.49586	-4.51532	-4.50601	-4.50932
LR_1_mean[cache_size=0.2,treshold=0.5]	-8.05283	-8.06224	-8.05794	-8.05928
LR_1_robust_scaler[cache_size=0.2,treshold=0.5]	-4.34598	-4.3602	-4.35245	-4.35281
LR_1_std_scaler[cache_size=0.2,treshold=0.5]	-4.34925	-4.36282	-4.3552	-4.35608
LR_2[cache_size=0.2,treshold=0.5]	-6.12635	-6.15169	-6.14085	-6.14131
LR_2_log[cache_size=0.2,treshold=0.5]	-8.0345	-8.04915	-8.04131	-8.04029
LR_2_mean[cache_size=0.2,treshold=0.5]	-8.06134	-8.07205	-8.0671	-8.06845
LR_3[cache_size=0.2,treshold=0.5]	-6.127	-6.15235	-6.14164	-6.14262
LR_3_log[cache_size=0.2,treshold=0.5]	-8.03058	-8.04588	-8.03725	-8.03613
LR_3_mean[cache_size=0.2,treshold=0.5]	-8.05676	-8.06747	-8.06252	-8.06386
LR_4[cache_size=0.2,treshold=0.5]	-4.18562	-4.20051	-4.19182	-4.19302
LR_4_log[cache_size=0.2,treshold=0.5]	-4.49324	-4.50943	-4.50038	-4.49624
LR_4_mean[cache_size=0.2,treshold=0.5]	-7.44372	-7.45725	-7.45207	-7.45427
LR_4_robust_scaler[cache_size=0.2,treshold=0.5]	-4.18562	-4.1992	-4.19169	-4.19237
LR_4_std_scaler[cache_size=0.2,treshold=0.5]	-4.18627	-4.20116	-4.19287	-4.19368
LR_5[cache_size=0.2,treshold=0.5]	-4.18955	-4.20378	-4.19562	-4.1963
LR_5_imba[cache_size=0.2,treshold=0.5]	-2.44592	-2.46081	-2.45239	-2.45302
LR_6[cache_size=0.2,treshold=0.5]	-4.18562	-4.1992	-4.19169	-4.19237
LR_6_imba[cache_size=0.2,treshold=0.5]	-2.44199	-2.45623	-2.44872	-2.44975
LR_7[cache_size=0.2,treshold=0.5]	-5.35066	-5.36681	-5.35865	-5.35646
LR_7_decay_rtime[cache_size=0.2,treshold=0.5]	-9.46559	-9.4814	-9.47742	-9.48085
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	0	-0.000654489	-0.000130898	0
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	-6.89635	-6.90871	-6.90145	-6.9012
LR_7_decay_vtime[cache_size=0.2,treshold=0.5]	-8.80982	-8.81762	-8.81409	-8.81335
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	-0.481049	-0.485106	-0.482151	-0.481562
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	-4.50278	-4.52242	-4.51413	-4.51419
LR_7_id[cache_size=0.2,treshold=0.5]	-2.6534	-2.66377	-2.65949	-2.6599
LR_7_w_0_5[cache_size=0.2,treshold=0.5]	-0.967218	-0.98537	-0.975429	-0.974141
LR_7_w_0_75[cache_size=0.2,treshold=0.5]	-2.83405	-2.85208	-2.84368	-2.8419
LR_8[cache_size=0.2,treshold=0.5]	-5.35066	-5.36615	-5.35839	-5.35581
LR_8_decay_rtime[cache_size=0.2,treshold=0.5]	-9.46755	-9.48282	-9.47873	-9.48223
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	0	0	0	0
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	-6.90289	-6.9146	-6.90761	-6.90644
LR_8_decay_vtime[cache_size=0.2,treshold=0.5]	-8.80851	-8.81599	-8.81278	-8.81204
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	-0.48852	-0.491653	-0.489482	-0.488922
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	-4.49885	-4.51718	-4.50903	-4.5083
LR_8_id[cache_size=0.2,treshold=0.5]	-2.65667	-2.66835	-2.66316	-2.66364
LR_9[cache_size=0.2,treshold=0.5]	-5.35393	-5.37008	-5.36205	-5.35997
LR_9_decay_rtime[cache_size=0.2,treshold=0.5]	-9.46297	-9.47879	-9.47467	-9.47765
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	-0.000654296	-0.000654853	-0.000654563	-0.000654515
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	-4.45827	-4.47068	-4.467	-4.46885
LR_9_decay_vtime[cache_size=0.2,treshold=0.5]	-8.81113	-8.8186	-8.81566	-8.81531
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	-0.467305	-0.471358	-0.468406	-0.467822
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	-4.49493	-4.51325	-4.50497	-4.50437
LR_9_id[cache_size=0.2,treshold=0.5]	-2.65406	-2.66508	-2.66041	-2.66102
LR_decay_rtime[cache_size=0.2,treshold=0.5]	-9.36021	-9.3813	-9.37374	-9.37553
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	0	0	0	0
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	-6.40917	-6.42542	-6.4176	-6.41948
LR_decay_vtime[cache_size=0.2,treshold=0.5]	-20.1903	-20.2075	-20.1983	-20.197
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	0	0	0	0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	0	0	0	0
LR_id[cache_size=0.2,treshold=0.5]	1.1568	1.14894	1.15242	1.15195
LR_1[cache_size=0.4,treshold=0.5]	-4.27173	-4.33018	-4.29553	-4.28948
LR_1_log[cache_size=0.4,treshold=0.5]	-4.87156	-4.92392	-4.89566	-4.89544
LR_1_mean[cache_size=0.4,treshold=0.5]	-8.93002	-8.97831	-8.94945	-8.94771
LR_1_robust_scaler[cache_size=0.4,treshold=0.5]	-4.27263	-4.32985	-4.29562	-4.28925
LR_1_std_scaler[cache_size=0.4,treshold=0.5]	-4.28934	-4.34769	-4.31314	-4.30698
LR_2[cache_size=0.4,treshold=0.5]	-8.08884	-8.14444	-8.11281	-8.11011
LR_2_log[cache_size=0.4,treshold=0.5]	-8.47372	-8.52637	-8.49845	-8.49391
LR_2_mean[cache_size=0.4,treshold=0.5]	-8.92723	-8.98198	-8.9513	-8.95072
LR_3[cache_size=0.4,treshold=0.5]	-6.61497	-6.67559	-6.64662	-6.65118
LR_3_log[cache_size=0.4,treshold=0.5]	-8.47405	-8.52804	-8.4993	-8.49514
LR_3_mean[cache_size=0.4,treshold=0.5]	-8.92534	-8.97998	-8.94963	-8.94938
LR_4[cache_size=0.4,treshold=0.5]	-4.48902	-4.54879	-4.51535	-4.50886
LR_4_log[cache_size=0.4,treshold=0.5]	-4.8496	-4.90385	-4.87695	-4.87794
LR_4_mean[cache_size=0.4,treshold=0.5]	-8.12873	-8.18992	-8.16157	-8.16416
LR_4_robust_scaler[cache_size=0.4,treshold=0.5]	-4.20945	-4.26642	-4.23389	-4.22739
LR_4_std_scaler[cache_size=0.4,treshold=0.5]	-4.22092	-4.27712	-4.24497	-4.23898
LR_5[cache_size=0.4,treshold=0.5]	-4.22293	-4.27991	-4.24724	-4.24121
LR_5_imba[cache_size=0.4,treshold=0.5]	-1.87457	-1.92023	-1.90385	-1.90786
LR_6[cache_size=0.4,treshold=0.5]	-4.20755	-4.2653	-4.23215	-4.22583
LR_6_imba[cache_size=0.4,treshold=0.5]	-1.86677	-1.91856	-1.89866	-1.90084
LR_7[cache_size=0.4,treshold=0.5]	-5.12316	-5.18121	-5.15563	-5.15518
LR_7_decay_rtime[cache_size=0.4,treshold=0.5]	-9.74211	-9.80403	-9.7766	-9.78019
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	-0.412807	-0.428867	-0.420886	-0.422638
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	-4.26471	-4.32751	-4.30519	-4.31946
LR_7_decay_vtime[cache_size=0.4,treshold=0.5]	-9.64996	-9.71384	-9.68346	-9.68488
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	-0.418493	-0.433106	-0.426058	-0.427763
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	-4.26327	-4.32606	-4.30436	-4.31946
LR_7_id[cache_size=0.4,treshold=0.5]	-1.7667	-1.83004	-1.79952	-1.79585
LR_7_w_0_5[cache_size=0.4,treshold=0.5]	-0.670021	-0.715545	-0.694368	-0.699754
LR_7_w_0_75[cache_size=0.4,treshold=0.5]	-2.10534	-2.15166	-2.13143	-2.13337
LR_8[cache_size=0.4,treshold=0.5]	-5.12417	-5.18121	-5.15596	-5.15551
LR_8_decay_rtime[cache_size=0.4,treshold=0.5]	-9.74055	-9.80214	-9.77468	-9.77829
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	-0.415483	-0.431433	-0.423829	-0.425535
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	-4.26226	-4.3245	-4.30311	-4.31789
LR_8_decay_vtime[cache_size=0.4,treshold=0.5]	-9.6484	-9.71061	-9.67989	-9.68164
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	-0.415483	-0.431433	-0.423829	-0.425535
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	-4.26483	-4.3274	-4.3053	-4.31957
LR_8_id[cache_size=0.4,treshold=0.5]	-1.75946	-1.8238	-1.79316	-1.78961
LR_9[cache_size=0.4,treshold=0.5]	-5.12361	-5.18166	-5.15587	-5.15506
LR_9_decay_rtime[cache_size=0.4,treshold=0.5]	-9.74389	-9.80537	-9.77845	-9.78152
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	-0.409797	-0.42619	-0.418322	-0.421301
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	-4.25937	-4.32126	-4.3001	-4.31555
LR_9_decay_vtime[cache_size=0.4,treshold=0.5]	-9.64962	-9.7134	-9.6827	-9.68432
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	-0.41002	-0.426859	-0.418634	-0.421301
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	-4.26215	-4.32439	-4.30289	-4.31778
LR_9_id[cache_size=0.4,treshold=0.5]	-1.75801	-1.82235	-1.79156	-1.78827
LR_decay_rtime[cache_size=0.4,treshold=0.5]	-14.8664	-14.9185	-14.8992	-14.9085
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	0	0	0	0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	0	0	0	0
LR_decay_vtime[cache_size=0.4,treshold=0.5]	-25.9725	-26.0439	-26.0089	-26.0035
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	0	0	0	0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	0	0	0	0
LR_id[cache_size=0.4,treshold=0.5]	3.31501	3.26143	3.28269	3.28171
Offline Clock 1st iteration	0	0	0	0
Offline Clock 2nd iteration	7.80369	0.100977	2.73498	1.84941
Zipf Optimal Distribution	3.35401	0.0684004	1.23463	0.902408

Model Summaries Plot

Miss Ratio Reduced (%)

Promotion Reduced (%)

Mean Promotion vs Miss Ratio

Cache Size All

Model	Promotion Reduced (%)	Miss Ratio Reduced (%)
LR_id[cache_size=0.4,treshold=0.5]	37.6943	3.28269
Offline Clock 2nd iteration	42.6567	2.73498
Zipf Optimal Distribution	12.1282	1.23463
LR_id[cache_size=0.2,treshold=0.5]	34.0401	1.15242
LR_id[cache_size=0.1,treshold=0.5]	33.037	0.191986
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	0	0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	0	0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	0	0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	0	0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	0	0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	0	0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	0	0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	0	0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	0	0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	0	0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	0	0
Offline Clock 1st iteration	0	0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	0	0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	0	0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	0	0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	0	0
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	0.000711758	-0.000130898
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	0.00106129	-0.000148054
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	0.00359077	-0.000654563
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	0.0264548	-0.00271196
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	0.193878	-0.0186096
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	0.904352	-0.0837891
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	3.88232	-0.418322
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	3.88473	-0.418634
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	3.90405	-0.420886
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	3.9258	-0.423829
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	3.9258	-0.423829
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	3.94366	-0.426058
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	4.42373	-0.468406
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	4.54327	-0.482151
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	4.61148	-0.489482
LR_id[cache_size=0.01,treshold=0.5]	32.2723	-0.583057
LR_7_w_0_5[cache_size=0.4,treshold=0.5]	23.7677	-0.694368
LR_7_w_0_5[cache_size=0.01,treshold=0.5]	25.516	-0.796607
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	34.1891	-0.835497
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	34.2091	-0.837077
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	34.2134	-0.837669
LR_7_w_0_5[cache_size=0.2,treshold=0.5]	29.1976	-0.975429
LR_7_w_0_5[cache_size=0.1,treshold=0.5]	29.9186	-1.15004
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	28.538	-1.38055
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	28.526	-1.38121
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	28.5112	-1.38401
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	23.0355	-1.69542
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	45.1313	-1.76111
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	45.139	-1.7621
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	45.1456	-1.76279
LR_9_id[cache_size=0.4,treshold=0.5]	53.7563	-1.79156
LR_8_id[cache_size=0.4,treshold=0.5]	53.7552	-1.79316
LR_7_id[cache_size=0.4,treshold=0.5]	53.7721	-1.79952
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	24.7302	-1.83272
LR_6_imba[cache_size=0.4,treshold=0.5]	30.6156	-1.89866
LR_5_imba[cache_size=0.4,treshold=0.5]	30.4244	-1.90385
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	25.6791	-1.91144
LR_7_w_0_75[cache_size=0.01,treshold=0.5]	41.5571	-2.01676
LR_5_imba[cache_size=0.01,treshold=0.5]	41.3713	-2.02273
LR_6_imba[cache_size=0.01,treshold=0.5]	41.3892	-2.02407
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	21.053	-2.11374
LR_7_w_0_75[cache_size=0.4,treshold=0.5]	40.9505	-2.13143
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	19.9158	-2.25491
LR_9_id[cache_size=0.01,treshold=0.5]	48.7249	-2.29645
LR_8_id[cache_size=0.01,treshold=0.5]	48.7494	-2.30582
LR_7_id[cache_size=0.01,treshold=0.5]	48.7279	-2.30651
LR_6_imba[cache_size=0.2,treshold=0.5]	35.6239	-2.44872
LR_5_imba[cache_size=0.2,treshold=0.5]	35.5958	-2.45239
LR_6_imba[cache_size=0.1,treshold=0.5]	38.4297	-2.51815
LR_5_imba[cache_size=0.1,treshold=0.5]	38.423	-2.519
LR_7_id[cache_size=0.2,treshold=0.5]	51.5158	-2.65949
LR_9_id[cache_size=0.2,treshold=0.5]	51.524	-2.66041
LR_8_id[cache_size=0.2,treshold=0.5]	51.5261	-2.66316
LR_9_id[cache_size=0.1,treshold=0.5]	50.5837	-2.83713
LR_1_log[cache_size=0.01,treshold=0.5]	48.9945	-2.83928
LR_8_id[cache_size=0.1,treshold=0.5]	50.5903	-2.84162
LR_7_id[cache_size=0.1,treshold=0.5]	50.601	-2.84237
LR_7_w_0_75[cache_size=0.2,treshold=0.5]	45.2752	-2.84368
LR_7_w_0_75[cache_size=0.1,treshold=0.5]	45.5614	-2.89287
LR_4_log[cache_size=0.01,treshold=0.5]	50.163	-2.89451
LR_8_decay_rtime[cache_size=0.01,treshold=0.5]	56.463	-3.02129
LR_9_decay_rtime[cache_size=0.01,treshold=0.5]	56.476	-3.02258
LR_7_decay_rtime[cache_size=0.01,treshold=0.5]	56.4771	-3.02322
LR_4[cache_size=0.01,treshold=0.5]	53.912	-3.15825
LR_6[cache_size=0.01,treshold=0.5]	53.9117	-3.15825
LR_4_std_scaler[cache_size=0.01,treshold=0.5]	53.9127	-3.15835
LR_4_robust_scaler[cache_size=0.01,treshold=0.5]	53.9172	-3.15884
LR_5[cache_size=0.01,treshold=0.5]	53.9211	-3.15929
LR_1[cache_size=0.01,treshold=0.5]	54.1064	-3.30621
LR_1_robust_scaler[cache_size=0.01,treshold=0.5]	54.1129	-3.3066
LR_1_std_scaler[cache_size=0.01,treshold=0.5]	54.116	-3.30715
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	51.8748	-3.56093
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	51.9306	-3.56832
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	52.041	-3.58843
LR_7[cache_size=0.01,treshold=0.5]	58.0713	-3.69388
LR_3[cache_size=0.01,treshold=0.5]	45.6171	-3.69644
LR_8[cache_size=0.01,treshold=0.5]	58.1344	-3.7035
LR_2[cache_size=0.01,treshold=0.5]	45.8099	-3.71727
LR_9[cache_size=0.01,treshold=0.5]	58.3231	-3.72275
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	34.4015	-3.81847
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	34.4566	-3.82595
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	34.5007	-3.83175
LR_4_mean[cache_size=0.01,treshold=0.5]	54.2102	-3.89573
LR_4_robust_scaler[cache_size=0.1,treshold=0.5]	51.9079	-4.0083
LR_4_std_scaler[cache_size=0.1,treshold=0.5]	51.9152	-4.0083
LR_4[cache_size=0.1,treshold=0.5]	51.912	-4.00877
LR_6[cache_size=0.1,treshold=0.5]	51.9155	-4.00915
LR_5[cache_size=0.1,treshold=0.5]	51.9285	-4.01223
LR_1_log[cache_size=0.1,treshold=0.5]	50.5391	-4.02327
LR_1_mean[cache_size=0.01,treshold=0.5]	53.5578	-4.03214
LR_4_log[cache_size=0.1,treshold=0.5]	51.4539	-4.04767
LR_1_robust_scaler[cache_size=0.1,treshold=0.5]	50.6755	-4.15652
LR_1[cache_size=0.1,treshold=0.5]	50.6794	-4.15709
LR_1_std_scaler[cache_size=0.1,treshold=0.5]	50.6762	-4.15821
LR_6[cache_size=0.2,treshold=0.5]	49.5778	-4.19169
LR_4_robust_scaler[cache_size=0.2,treshold=0.5]	49.5778	-4.19169
LR_4[cache_size=0.2,treshold=0.5]	49.5781	-4.19182
LR_4_std_scaler[cache_size=0.2,treshold=0.5]	49.5646	-4.19287
LR_5[cache_size=0.2,treshold=0.5]	49.5672	-4.19562
LR_6[cache_size=0.4,treshold=0.5]	47.6897	-4.23215
LR_4_robust_scaler[cache_size=0.4,treshold=0.5]	47.6895	-4.23389
LR_4_std_scaler[cache_size=0.4,treshold=0.5]	47.6584	-4.24497
LR_5[cache_size=0.4,treshold=0.5]	47.6741	-4.24724
LR_1[cache_size=0.4,treshold=0.5]	47.6513	-4.29553
LR_1_robust_scaler[cache_size=0.4,treshold=0.5]	47.6501	-4.29562
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	32.7589	-4.3001
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	32.7763	-4.30289
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	32.7772	-4.30311
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	32.7837	-4.30436
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	32.7894	-4.30519
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	32.7899	-4.3053
LR_1_std_scaler[cache_size=0.4,treshold=0.5]	47.6353	-4.31314
LR_1[cache_size=0.2,treshold=0.5]	48.9053	-4.3518
LR_1_robust_scaler[cache_size=0.2,treshold=0.5]	48.9127	-4.35245
LR_1_std_scaler[cache_size=0.2,treshold=0.5]	48.8935	-4.3552
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	47.8889	-4.467
LR_4_log[cache_size=0.2,treshold=0.5]	52.3315	-4.50038
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	35.8401	-4.50497
LR_1_log[cache_size=0.2,treshold=0.5]	51.6184	-4.50601
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	35.8637	-4.50903
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	35.8926	-4.51413
LR_4[cache_size=0.4,treshold=0.5]	49.0205	-4.51535
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	44.4708	-4.61241
LR_3_log[cache_size=0.01,treshold=0.5]	57.3967	-4.85106
LR_4_log[cache_size=0.4,treshold=0.5]	53.7639	-4.87695
LR_3_mean[cache_size=0.01,treshold=0.5]	57.1952	-4.87697
LR_1_log[cache_size=0.4,treshold=0.5]	53.5535	-4.89566
LR_2_log[cache_size=0.01,treshold=0.5]	58.0084	-4.92148
LR_2_mean[cache_size=0.01,treshold=0.5]	57.8543	-4.94764
LR_8[cache_size=0.1,treshold=0.5]	59.2057	-5.06567
LR_7[cache_size=0.1,treshold=0.5]	59.2233	-5.06717
LR_9[cache_size=0.1,treshold=0.5]	59.249	-5.07025
LR_7[cache_size=0.4,treshold=0.5]	59.514	-5.15563
LR_9[cache_size=0.4,treshold=0.5]	59.517	-5.15587
LR_8[cache_size=0.4,treshold=0.5]	59.5097	-5.15596
LR_8[cache_size=0.2,treshold=0.5]	59.3604	-5.35839
LR_7[cache_size=0.2,treshold=0.5]	59.3682	-5.35865
LR_9[cache_size=0.2,treshold=0.5]	59.3893	-5.36205
LR_2[cache_size=0.1,treshold=0.5]	45.2007	-5.39681
LR_3[cache_size=0.1,treshold=0.5]	45.2031	-5.39718
LR_decay_rtime[cache_size=0.01,treshold=0.5]	63.8961	-5.41131
LR_8_decay_vtime[cache_size=0.01,treshold=0.5]	63.6383	-5.60354
LR_7_decay_vtime[cache_size=0.01,treshold=0.5]	63.6488	-5.60567
LR_9_decay_vtime[cache_size=0.01,treshold=0.5]	64.4944	-5.70205
LR_9_decay_rtime[cache_size=0.1,treshold=0.5]	63.9144	-5.77339
LR_8_decay_rtime[cache_size=0.1,treshold=0.5]	63.9235	-5.77479
LR_7_decay_rtime[cache_size=0.1,treshold=0.5]	63.9266	-5.77488
LR_2[cache_size=0.2,treshold=0.5]	45.0504	-6.14085
LR_3[cache_size=0.2,treshold=0.5]	45.0553	-6.14164
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	49.879	-6.4176
LR_4_mean[cache_size=0.1,treshold=0.5]	57.538	-6.62484
LR_3[cache_size=0.4,treshold=0.5]	45.4196	-6.64662
LR_decay_rtime[cache_size=0.1,treshold=0.5]	62.2175	-6.84646
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	53.6668	-6.90145
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	53.7165	-6.90761
LR_1_mean[cache_size=0.1,treshold=0.5]	56.2282	-7.055
LR_3_mean[cache_size=0.1,treshold=0.5]	56.5949	-7.1228
LR_3_log[cache_size=0.1,treshold=0.5]	56.6872	-7.12663
LR_2_mean[cache_size=0.1,treshold=0.5]	56.6459	-7.13206
LR_2_log[cache_size=0.1,treshold=0.5]	56.7391	-7.13589
LR_4_mean[cache_size=0.2,treshold=0.5]	57.2055	-7.45207
LR_decay_vtime[cache_size=0.01,treshold=0.5]	78.9192	-7.48631
LR_7_decay_vtime[cache_size=0.1,treshold=0.5]	59.9715	-7.70577
LR_8_decay_vtime[cache_size=0.1,treshold=0.5]	60.1657	-7.73943
LR_9_decay_vtime[cache_size=0.1,treshold=0.5]	60.2296	-7.75056
LR_3_log[cache_size=0.2,treshold=0.5]	56.0471	-8.03725
LR_2_log[cache_size=0.2,treshold=0.5]	56.0675	-8.04131
LR_1_mean[cache_size=0.2,treshold=0.5]	56.1236	-8.05794
LR_3_mean[cache_size=0.2,treshold=0.5]	56.1437	-8.06252
LR_2_mean[cache_size=0.2,treshold=0.5]	56.1658	-8.0671
LR_2[cache_size=0.4,treshold=0.5]	52.7129	-8.11281
LR_4_mean[cache_size=0.4,treshold=0.5]	57.1941	-8.16157
LR_2_log[cache_size=0.4,treshold=0.5]	55.5696	-8.49845
LR_3_log[cache_size=0.4,treshold=0.5]	55.5725	-8.4993
LR_8_decay_vtime[cache_size=0.2,treshold=0.5]	59.7899	-8.81278
LR_7_decay_vtime[cache_size=0.2,treshold=0.5]	59.7971	-8.81409
LR_9_decay_vtime[cache_size=0.2,treshold=0.5]	59.8038	-8.81566
LR_1_mean[cache_size=0.4,treshold=0.5]	56.1597	-8.94945
LR_3_mean[cache_size=0.4,treshold=0.5]	56.1545	-8.94963
LR_2_mean[cache_size=0.4,treshold=0.5]	56.1618	-8.9513
LR_decay_rtime[cache_size=0.2,treshold=0.5]	65.5391	-9.37374
LR_9_decay_rtime[cache_size=0.2,treshold=0.5]	66.851	-9.47467
LR_7_decay_rtime[cache_size=0.2,treshold=0.5]	66.875	-9.47742
LR_8_decay_rtime[cache_size=0.2,treshold=0.5]	66.8963	-9.47873
LR_8_decay_vtime[cache_size=0.4,treshold=0.5]	59.2485	-9.67989
LR_9_decay_vtime[cache_size=0.4,treshold=0.5]	59.2623	-9.6827
LR_7_decay_vtime[cache_size=0.4,treshold=0.5]	59.2666	-9.68346
LR_8_decay_rtime[cache_size=0.4,treshold=0.5]	59.6426	-9.77468
LR_7_decay_rtime[cache_size=0.4,treshold=0.5]	59.6494	-9.7766
LR_9_decay_rtime[cache_size=0.4,treshold=0.5]	59.6559	-9.77845
LR_decay_rtime[cache_size=0.4,treshold=0.5]	77.4485	-14.8992
LR_decay_vtime[cache_size=0.1,treshold=0.5]	95.9029	-16.0751
LR_decay_vtime[cache_size=0.2,treshold=0.5]	97.8322	-20.1983
LR_decay_vtime[cache_size=0.4,treshold=0.5]	99.0562	-26.0089

Cache Size 0.01

Model	Promotion Reduced (%)	Miss Ratio Reduced (%)
Offline Clock 2nd iteration	42.0861	0.362449
Zipf Optimal Distribution	8.83002	0.192773
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	0	0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	0	0
Offline Clock 1st iteration	0	0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	0	0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	0	0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	0	0
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	0.00106129	-0.000148054
LR_id[cache_size=0.01,treshold=0.5]	32.2723	-0.583057
LR_7_w_0_5[cache_size=0.01,treshold=0.5]	25.516	-0.796607
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	34.1891	-0.835497
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	34.2091	-0.837077
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	34.2134	-0.837669
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	23.0355	-1.69542
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	45.1313	-1.76111
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	45.139	-1.7621
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	45.1456	-1.76279
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	24.7302	-1.83272
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	25.6791	-1.91144
LR_7_w_0_75[cache_size=0.01,treshold=0.5]	41.5571	-2.01676
LR_5_imba[cache_size=0.01,treshold=0.5]	41.3713	-2.02273
LR_6_imba[cache_size=0.01,treshold=0.5]	41.3892	-2.02407
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	21.053	-2.11374
LR_9_id[cache_size=0.01,treshold=0.5]	48.7249	-2.29645
LR_8_id[cache_size=0.01,treshold=0.5]	48.7494	-2.30582
LR_7_id[cache_size=0.01,treshold=0.5]	48.7279	-2.30651
LR_1_log[cache_size=0.01,treshold=0.5]	48.9945	-2.83928
LR_4_log[cache_size=0.01,treshold=0.5]	50.163	-2.89451
LR_8_decay_rtime[cache_size=0.01,treshold=0.5]	56.463	-3.02129
LR_9_decay_rtime[cache_size=0.01,treshold=0.5]	56.476	-3.02258
LR_7_decay_rtime[cache_size=0.01,treshold=0.5]	56.4771	-3.02322
LR_6[cache_size=0.01,treshold=0.5]	53.9117	-3.15825
LR_4[cache_size=0.01,treshold=0.5]	53.912	-3.15825
LR_4_std_scaler[cache_size=0.01,treshold=0.5]	53.9127	-3.15835
LR_4_robust_scaler[cache_size=0.01,treshold=0.5]	53.9172	-3.15884
LR_5[cache_size=0.01,treshold=0.5]	53.9211	-3.15929
LR_1[cache_size=0.01,treshold=0.5]	54.1064	-3.30621
LR_1_robust_scaler[cache_size=0.01,treshold=0.5]	54.1129	-3.3066
LR_1_std_scaler[cache_size=0.01,treshold=0.5]	54.116	-3.30715
LR_7[cache_size=0.01,treshold=0.5]	58.0713	-3.69388
LR_3[cache_size=0.01,treshold=0.5]	45.6171	-3.69644
LR_8[cache_size=0.01,treshold=0.5]	58.1344	-3.7035
LR_2[cache_size=0.01,treshold=0.5]	45.8099	-3.71727
LR_9[cache_size=0.01,treshold=0.5]	58.3231	-3.72275
LR_4_mean[cache_size=0.01,treshold=0.5]	54.2102	-3.89573
LR_1_mean[cache_size=0.01,treshold=0.5]	53.5578	-4.03214
LR_3_log[cache_size=0.01,treshold=0.5]	57.3967	-4.85106
LR_3_mean[cache_size=0.01,treshold=0.5]	57.1952	-4.87697
LR_2_log[cache_size=0.01,treshold=0.5]	58.0084	-4.92148
LR_2_mean[cache_size=0.01,treshold=0.5]	57.8543	-4.94764
LR_decay_rtime[cache_size=0.01,treshold=0.5]	63.8961	-5.41131
LR_8_decay_vtime[cache_size=0.01,treshold=0.5]	63.6383	-5.60354
LR_7_decay_vtime[cache_size=0.01,treshold=0.5]	63.6488	-5.60567
LR_9_decay_vtime[cache_size=0.01,treshold=0.5]	64.4944	-5.70205
LR_decay_vtime[cache_size=0.01,treshold=0.5]	78.9192	-7.48631

Cache Size 0.1

Model	Promotion Reduced (%)	Miss Ratio Reduced (%)
Offline Clock 2nd iteration	43.0216	1.84971
Zipf Optimal Distribution	13.1079	0.901478
LR_id[cache_size=0.1,treshold=0.5]	33.037	0.191986
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	0	0
Offline Clock 1st iteration	0	0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	0	0
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	0.0264548	-0.00271196
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	0.193878	-0.0186096
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	0.904352	-0.0837891
LR_7_w_0_5[cache_size=0.1,treshold=0.5]	29.9186	-1.15004
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	28.538	-1.38055
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	28.526	-1.38121
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	28.5112	-1.38401
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	19.9158	-2.25491
LR_6_imba[cache_size=0.1,treshold=0.5]	38.4297	-2.51815
LR_5_imba[cache_size=0.1,treshold=0.5]	38.423	-2.519
LR_9_id[cache_size=0.1,treshold=0.5]	50.5837	-2.83713
LR_8_id[cache_size=0.1,treshold=0.5]	50.5903	-2.84162
LR_7_id[cache_size=0.1,treshold=0.5]	50.601	-2.84237
LR_7_w_0_75[cache_size=0.1,treshold=0.5]	45.5614	-2.89287
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	51.8748	-3.56093
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	51.9306	-3.56832
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	52.041	-3.58843
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	34.4015	-3.81847
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	34.4566	-3.82595
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	34.5007	-3.83175
LR_4_robust_scaler[cache_size=0.1,treshold=0.5]	51.9079	-4.0083
LR_4_std_scaler[cache_size=0.1,treshold=0.5]	51.9152	-4.0083
LR_4[cache_size=0.1,treshold=0.5]	51.912	-4.00877
LR_6[cache_size=0.1,treshold=0.5]	51.9155	-4.00915
LR_5[cache_size=0.1,treshold=0.5]	51.9285	-4.01223
LR_1_log[cache_size=0.1,treshold=0.5]	50.5391	-4.02327
LR_4_log[cache_size=0.1,treshold=0.5]	51.4539	-4.04767
LR_1_robust_scaler[cache_size=0.1,treshold=0.5]	50.6755	-4.15652
LR_1[cache_size=0.1,treshold=0.5]	50.6794	-4.15709
LR_1_std_scaler[cache_size=0.1,treshold=0.5]	50.6762	-4.15821
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	44.4708	-4.61241
LR_8[cache_size=0.1,treshold=0.5]	59.2057	-5.06567
LR_7[cache_size=0.1,treshold=0.5]	59.2233	-5.06717
LR_9[cache_size=0.1,treshold=0.5]	59.249	-5.07025
LR_2[cache_size=0.1,treshold=0.5]	45.2007	-5.39681
LR_3[cache_size=0.1,treshold=0.5]	45.2031	-5.39718
LR_9_decay_rtime[cache_size=0.1,treshold=0.5]	63.9144	-5.77339
LR_8_decay_rtime[cache_size=0.1,treshold=0.5]	63.9235	-5.77479
LR_7_decay_rtime[cache_size=0.1,treshold=0.5]	63.9266	-5.77488
LR_4_mean[cache_size=0.1,treshold=0.5]	57.538	-6.62484
LR_decay_rtime[cache_size=0.1,treshold=0.5]	62.2175	-6.84646
LR_1_mean[cache_size=0.1,treshold=0.5]	56.2282	-7.055
LR_3_mean[cache_size=0.1,treshold=0.5]	56.5949	-7.1228
LR_3_log[cache_size=0.1,treshold=0.5]	56.6872	-7.12663
LR_2_mean[cache_size=0.1,treshold=0.5]	56.6459	-7.13206
LR_2_log[cache_size=0.1,treshold=0.5]	56.7391	-7.13589
LR_7_decay_vtime[cache_size=0.1,treshold=0.5]	59.9715	-7.70577
LR_8_decay_vtime[cache_size=0.1,treshold=0.5]	60.1657	-7.73943
LR_9_decay_vtime[cache_size=0.1,treshold=0.5]	60.2296	-7.75056
LR_decay_vtime[cache_size=0.1,treshold=0.5]	95.9029	-16.0751

Cache Size 0.2

Model	Promotion Reduced (%)	Miss Ratio Reduced (%)
Offline Clock 2nd iteration	43.2203	3.56227
Zipf Optimal Distribution	15.0252	1.67385
LR_id[cache_size=0.2,treshold=0.5]	34.0401	1.15242
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	0	0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	0	0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	0	0
Offline Clock 1st iteration	0	0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	0	0
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	0.000711758	-0.000130898
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	0.00359077	-0.000654563
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	4.42373	-0.468406
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	4.54327	-0.482151
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	4.61148	-0.489482
LR_7_w_0_5[cache_size=0.2,treshold=0.5]	29.1976	-0.975429
LR_6_imba[cache_size=0.2,treshold=0.5]	35.6239	-2.44872
LR_5_imba[cache_size=0.2,treshold=0.5]	35.5958	-2.45239
LR_7_id[cache_size=0.2,treshold=0.5]	51.5158	-2.65949
LR_9_id[cache_size=0.2,treshold=0.5]	51.524	-2.66041
LR_8_id[cache_size=0.2,treshold=0.5]	51.5261	-2.66316
LR_7_w_0_75[cache_size=0.2,treshold=0.5]	45.2752	-2.84368
LR_6[cache_size=0.2,treshold=0.5]	49.5778	-4.19169
LR_4_robust_scaler[cache_size=0.2,treshold=0.5]	49.5778	-4.19169
LR_4[cache_size=0.2,treshold=0.5]	49.5781	-4.19182
LR_4_std_scaler[cache_size=0.2,treshold=0.5]	49.5646	-4.19287
LR_5[cache_size=0.2,treshold=0.5]	49.5672	-4.19562
LR_1[cache_size=0.2,treshold=0.5]	48.9053	-4.3518
LR_1_robust_scaler[cache_size=0.2,treshold=0.5]	48.9127	-4.35245
LR_1_std_scaler[cache_size=0.2,treshold=0.5]	48.8935	-4.3552
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	47.8889	-4.467
LR_4_log[cache_size=0.2,treshold=0.5]	52.3315	-4.50038
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	35.8401	-4.50497
LR_1_log[cache_size=0.2,treshold=0.5]	51.6184	-4.50601
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	35.8637	-4.50903
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	35.8926	-4.51413
LR_8[cache_size=0.2,treshold=0.5]	59.3604	-5.35839
LR_7[cache_size=0.2,treshold=0.5]	59.3682	-5.35865
LR_9[cache_size=0.2,treshold=0.5]	59.3893	-5.36205
LR_2[cache_size=0.2,treshold=0.5]	45.0504	-6.14085
LR_3[cache_size=0.2,treshold=0.5]	45.0553	-6.14164
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	49.879	-6.4176
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	53.6668	-6.90145
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	53.7165	-6.90761
LR_4_mean[cache_size=0.2,treshold=0.5]	57.2055	-7.45207
LR_3_log[cache_size=0.2,treshold=0.5]	56.0471	-8.03725
LR_2_log[cache_size=0.2,treshold=0.5]	56.0675	-8.04131
LR_1_mean[cache_size=0.2,treshold=0.5]	56.1236	-8.05794
LR_3_mean[cache_size=0.2,treshold=0.5]	56.1437	-8.06252
LR_2_mean[cache_size=0.2,treshold=0.5]	56.1658	-8.0671
LR_8_decay_vtime[cache_size=0.2,treshold=0.5]	59.7899	-8.81278
LR_7_decay_vtime[cache_size=0.2,treshold=0.5]	59.7971	-8.81409
LR_9_decay_vtime[cache_size=0.2,treshold=0.5]	59.8038	-8.81566
LR_decay_rtime[cache_size=0.2,treshold=0.5]	65.5391	-9.37374
LR_9_decay_rtime[cache_size=0.2,treshold=0.5]	66.851	-9.47467
LR_7_decay_rtime[cache_size=0.2,treshold=0.5]	66.875	-9.47742
LR_8_decay_rtime[cache_size=0.2,treshold=0.5]	66.8963	-9.47873
LR_decay_vtime[cache_size=0.2,treshold=0.5]	97.8322	-20.1983

Cache Size 0.4

Model	Promotion Reduced (%)	Miss Ratio Reduced (%)
Offline Clock 2nd iteration	43.458	7.79849
Zipf Optimal Distribution	17.0787	3.33504
LR_id[cache_size=0.4,treshold=0.5]	37.6943	3.28269
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	0	0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	0	0
Offline Clock 1st iteration	0	0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	0	0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	0	0
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	3.88232	-0.418322
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	3.88473	-0.418634
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	3.90405	-0.420886
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	3.9258	-0.423829
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	3.9258	-0.423829
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	3.94366	-0.426058
LR_7_w_0_5[cache_size=0.4,treshold=0.5]	23.7677	-0.694368
LR_9_id[cache_size=0.4,treshold=0.5]	53.7563	-1.79156
LR_8_id[cache_size=0.4,treshold=0.5]	53.7552	-1.79316
LR_7_id[cache_size=0.4,treshold=0.5]	53.7721	-1.79952
LR_6_imba[cache_size=0.4,treshold=0.5]	30.6156	-1.89866
LR_5_imba[cache_size=0.4,treshold=0.5]	30.4244	-1.90385
LR_7_w_0_75[cache_size=0.4,treshold=0.5]	40.9505	-2.13143
LR_6[cache_size=0.4,treshold=0.5]	47.6897	-4.23215
LR_4_robust_scaler[cache_size=0.4,treshold=0.5]	47.6895	-4.23389
LR_4_std_scaler[cache_size=0.4,treshold=0.5]	47.6584	-4.24497
LR_5[cache_size=0.4,treshold=0.5]	47.6741	-4.24724
LR_1[cache_size=0.4,treshold=0.5]	47.6513	-4.29553
LR_1_robust_scaler[cache_size=0.4,treshold=0.5]	47.6501	-4.29562
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	32.7589	-4.3001
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	32.7763	-4.30289
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	32.7772	-4.30311
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	32.7837	-4.30436
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	32.7894	-4.30519
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	32.7899	-4.3053
LR_1_std_scaler[cache_size=0.4,treshold=0.5]	47.6353	-4.31314
LR_4[cache_size=0.4,treshold=0.5]	49.0205	-4.51535
LR_4_log[cache_size=0.4,treshold=0.5]	53.7639	-4.87695
LR_1_log[cache_size=0.4,treshold=0.5]	53.5535	-4.89566
LR_7[cache_size=0.4,treshold=0.5]	59.514	-5.15563
LR_9[cache_size=0.4,treshold=0.5]	59.517	-5.15587
LR_8[cache_size=0.4,treshold=0.5]	59.5097	-5.15596
LR_3[cache_size=0.4,treshold=0.5]	45.4196	-6.64662
LR_2[cache_size=0.4,treshold=0.5]	52.7129	-8.11281
LR_4_mean[cache_size=0.4,treshold=0.5]	57.1941	-8.16157
LR_2_log[cache_size=0.4,treshold=0.5]	55.5696	-8.49845
LR_3_log[cache_size=0.4,treshold=0.5]	55.5725	-8.4993
LR_1_mean[cache_size=0.4,treshold=0.5]	56.1597	-8.94945
LR_3_mean[cache_size=0.4,treshold=0.5]	56.1545	-8.94963
LR_2_mean[cache_size=0.4,treshold=0.5]	56.1618	-8.9513
LR_8_decay_vtime[cache_size=0.4,treshold=0.5]	59.2485	-9.67989
LR_9_decay_vtime[cache_size=0.4,treshold=0.5]	59.2623	-9.6827
LR_7_decay_vtime[cache_size=0.4,treshold=0.5]	59.2666	-9.68346
LR_8_decay_rtime[cache_size=0.4,treshold=0.5]	59.6426	-9.77468
LR_7_decay_rtime[cache_size=0.4,treshold=0.5]	59.6494	-9.7766
LR_9_decay_rtime[cache_size=0.4,treshold=0.5]	59.6559	-9.77845
LR_decay_rtime[cache_size=0.4,treshold=0.5]	77.4485	-14.8992
LR_decay_vtime[cache_size=0.4,treshold=0.5]	99.0562	-26.0089

Median Promotion vs Miss Ratio

Cache Size All

Model	Promotion Reduced (%)	Miss Ratio Reduced (%)
LR_id[cache_size=0.4,treshold=0.5]	37.674	3.28171
Offline Clock 2nd iteration	43.0175	1.84941
LR_id[cache_size=0.2,treshold=0.5]	34.0395	1.15195
Zipf Optimal Distribution	13.1121	0.902408
LR_id[cache_size=0.1,treshold=0.5]	33.0343	0.191227
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	0	0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	0	0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	0	0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	0	0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	0	0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	0	0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	0	0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	0	0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	0	0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	0	0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	0	0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	0	0
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	0.000679926	0
Offline Clock 1st iteration	0	0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	0	0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	0	0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	0	0
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	0.0011401	-0.000246702
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	0.00361985	-0.000654515
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	0.0265709	-0.00280568
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	0.193242	-0.0187045
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	0.900935	-0.0837164
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	3.87906	-0.421301
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	3.88183	-0.421301
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	3.90182	-0.422638
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	3.92493	-0.425535
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	3.92493	-0.425535
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	3.9441	-0.427763
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	4.42291	-0.467822
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	4.54304	-0.481562
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	4.61077	-0.488922
LR_id[cache_size=0.01,treshold=0.5]	32.2721	-0.584438
LR_7_w_0_5[cache_size=0.4,treshold=0.5]	23.7731	-0.699754
LR_7_w_0_5[cache_size=0.01,treshold=0.5]	25.5143	-0.797055
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	34.1862	-0.837031
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	34.2059	-0.838541
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	34.209	-0.838788
LR_7_w_0_5[cache_size=0.2,treshold=0.5]	29.2006	-0.974141
LR_7_w_0_5[cache_size=0.1,treshold=0.5]	29.9179	-1.1497
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	28.5346	-1.37908
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	28.5238	-1.38002
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	28.5068	-1.38282
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	23.0339	-1.69454
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	45.1346	-1.75994
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	45.1424	-1.76092
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	45.1473	-1.76166
LR_9_id[cache_size=0.4,treshold=0.5]	53.7463	-1.78827
LR_8_id[cache_size=0.4,treshold=0.5]	53.7448	-1.78961
LR_7_id[cache_size=0.4,treshold=0.5]	53.7617	-1.79585
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	24.7213	-1.83169
LR_6_imba[cache_size=0.4,treshold=0.5]	30.6029	-1.90084
LR_5_imba[cache_size=0.4,treshold=0.5]	30.4108	-1.90786
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	25.6759	-1.90972
LR_7_w_0_75[cache_size=0.01,treshold=0.5]	41.5667	-2.01481
LR_5_imba[cache_size=0.01,treshold=0.5]	41.3662	-2.02151
LR_6_imba[cache_size=0.01,treshold=0.5]	41.384	-2.02295
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	21.0563	-2.11292
LR_7_w_0_75[cache_size=0.4,treshold=0.5]	40.954	-2.13337
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	19.9197	-2.25358
LR_9_id[cache_size=0.01,treshold=0.5]	48.7273	-2.29665
LR_8_id[cache_size=0.01,treshold=0.5]	48.753	-2.30578
LR_7_id[cache_size=0.01,treshold=0.5]	48.7291	-2.30677
LR_6_imba[cache_size=0.2,treshold=0.5]	35.6227	-2.44975
LR_5_imba[cache_size=0.2,treshold=0.5]	35.5945	-2.45302
LR_6_imba[cache_size=0.1,treshold=0.5]	38.418	-2.51774
LR_5_imba[cache_size=0.1,treshold=0.5]	38.4113	-2.51868
LR_7_id[cache_size=0.2,treshold=0.5]	51.5201	-2.6599
LR_9_id[cache_size=0.2,treshold=0.5]	51.5294	-2.66102
LR_8_id[cache_size=0.2,treshold=0.5]	51.5302	-2.66364
LR_9_id[cache_size=0.1,treshold=0.5]	50.5947	-2.83755
LR_1_log[cache_size=0.01,treshold=0.5]	48.9949	-2.83929
LR_8_id[cache_size=0.1,treshold=0.5]	50.6011	-2.84175
LR_7_w_0_75[cache_size=0.2,treshold=0.5]	45.2721	-2.8419
LR_7_id[cache_size=0.1,treshold=0.5]	50.6118	-2.84269
LR_7_w_0_75[cache_size=0.1,treshold=0.5]	45.562	-2.89088
LR_4_log[cache_size=0.01,treshold=0.5]	50.164	-2.89383
LR_8_decay_rtime[cache_size=0.01,treshold=0.5]	56.4691	-3.01974
LR_9_decay_rtime[cache_size=0.01,treshold=0.5]	56.4804	-3.02112
LR_7_decay_rtime[cache_size=0.01,treshold=0.5]	56.4821	-3.02186
LR_4[cache_size=0.01,treshold=0.5]	53.9113	-3.15861
LR_6[cache_size=0.01,treshold=0.5]	53.9102	-3.15861
LR_4_std_scaler[cache_size=0.01,treshold=0.5]	53.9113	-3.15885
LR_5[cache_size=0.01,treshold=0.5]	53.9193	-3.15935
LR_4_robust_scaler[cache_size=0.01,treshold=0.5]	53.9157	-3.15935
LR_1[cache_size=0.01,treshold=0.5]	54.1065	-3.30691
LR_1_robust_scaler[cache_size=0.01,treshold=0.5]	54.1133	-3.30691
LR_1_std_scaler[cache_size=0.01,treshold=0.5]	54.1168	-3.30741
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	51.8849	-3.5601
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	51.948	-3.56711
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	52.054	-3.5872
LR_7[cache_size=0.01,treshold=0.5]	58.0668	-3.69557
LR_3[cache_size=0.01,treshold=0.5]	45.6197	-3.69733
LR_8[cache_size=0.01,treshold=0.5]	58.1308	-3.70497
LR_2[cache_size=0.01,treshold=0.5]	45.8127	-3.71805
LR_9[cache_size=0.01,treshold=0.5]	58.3185	-3.72372
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	34.397	-3.81635
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	34.4537	-3.82383
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	34.4972	-3.82944
LR_4_mean[cache_size=0.01,treshold=0.5]	54.3158	-3.90247
LR_4_robust_scaler[cache_size=0.1,treshold=0.5]	51.9215	-4.00639
LR_4_std_scaler[cache_size=0.1,treshold=0.5]	51.9286	-4.00639
LR_4[cache_size=0.1,treshold=0.5]	51.9257	-4.00686
LR_6[cache_size=0.1,treshold=0.5]	51.9291	-4.00733
LR_5[cache_size=0.1,treshold=0.5]	51.9419	-4.01013
LR_1_log[cache_size=0.1,treshold=0.5]	50.5473	-4.02368
LR_1_mean[cache_size=0.01,treshold=0.5]	53.6823	-4.04288
LR_4_log[cache_size=0.1,treshold=0.5]	51.467	-4.04429
LR_1_robust_scaler[cache_size=0.1,treshold=0.5]	50.6831	-4.15594
LR_1[cache_size=0.1,treshold=0.5]	50.6869	-4.1564
LR_1_std_scaler[cache_size=0.1,treshold=0.5]	50.6836	-4.15734
LR_6[cache_size=0.2,treshold=0.5]	49.5788	-4.19237
LR_4_robust_scaler[cache_size=0.2,treshold=0.5]	49.579	-4.19237
LR_4[cache_size=0.2,treshold=0.5]	49.5801	-4.19302
LR_4_std_scaler[cache_size=0.2,treshold=0.5]	49.5642	-4.19368
LR_5[cache_size=0.2,treshold=0.5]	49.5682	-4.1963
LR_6[cache_size=0.4,treshold=0.5]	47.6849	-4.22583
LR_4_robust_scaler[cache_size=0.4,treshold=0.5]	47.6836	-4.22739
LR_4_std_scaler[cache_size=0.4,treshold=0.5]	47.6522	-4.23898
LR_5[cache_size=0.4,treshold=0.5]	47.6681	-4.24121
LR_1_robust_scaler[cache_size=0.4,treshold=0.5]	47.6458	-4.28925
LR_1[cache_size=0.4,treshold=0.5]	47.6471	-4.28948
LR_1_std_scaler[cache_size=0.4,treshold=0.5]	47.63	-4.30698
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	32.7553	-4.31555
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	32.7715	-4.31778
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	32.7728	-4.31789
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	32.7803	-4.31946
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	32.7867	-4.31946
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	32.7871	-4.31957
LR_1_robust_scaler[cache_size=0.2,treshold=0.5]	48.9129	-4.35281
LR_1[cache_size=0.2,treshold=0.5]	48.9058	-4.35281
LR_1_std_scaler[cache_size=0.2,treshold=0.5]	48.8944	-4.35608
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	47.8873	-4.46885
LR_4_log[cache_size=0.2,treshold=0.5]	52.3282	-4.49624
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	35.8388	-4.50437
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	35.8626	-4.5083
LR_4[cache_size=0.4,treshold=0.5]	49.0172	-4.50886
LR_1_log[cache_size=0.2,treshold=0.5]	51.6212	-4.50932
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	35.8913	-4.51419
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	44.4691	-4.61329
LR_3_log[cache_size=0.01,treshold=0.5]	57.4004	-4.8497
LR_3_mean[cache_size=0.01,treshold=0.5]	57.1968	-4.87562
LR_4_log[cache_size=0.4,treshold=0.5]	53.7702	-4.87794
LR_1_log[cache_size=0.4,treshold=0.5]	53.5565	-4.89544
LR_2_log[cache_size=0.01,treshold=0.5]	58.0127	-4.92004
LR_2_mean[cache_size=0.01,treshold=0.5]	57.8521	-4.94669
LR_8[cache_size=0.1,treshold=0.5]	59.2066	-5.06472
LR_7[cache_size=0.1,treshold=0.5]	59.2247	-5.06612
LR_9[cache_size=0.1,treshold=0.5]	59.2495	-5.06939
LR_9[cache_size=0.4,treshold=0.5]	59.5096	-5.15506
LR_7[cache_size=0.4,treshold=0.5]	59.5067	-5.15518
LR_8[cache_size=0.4,treshold=0.5]	59.5021	-5.15551
LR_8[cache_size=0.2,treshold=0.5]	59.3574	-5.35581
LR_7[cache_size=0.2,treshold=0.5]	59.3645	-5.35646
LR_9[cache_size=0.2,treshold=0.5]	59.3861	-5.35997
LR_2[cache_size=0.1,treshold=0.5]	45.1962	-5.3983
LR_3[cache_size=0.1,treshold=0.5]	45.1982	-5.39877
LR_decay_rtime[cache_size=0.01,treshold=0.5]	63.8992	-5.40919
LR_8_decay_vtime[cache_size=0.01,treshold=0.5]	63.6434	-5.60267
LR_7_decay_vtime[cache_size=0.01,treshold=0.5]	63.656	-5.60483
LR_9_decay_vtime[cache_size=0.01,treshold=0.5]	64.4977	-5.70079
LR_9_decay_rtime[cache_size=0.1,treshold=0.5]	63.9207	-5.76988
LR_8_decay_rtime[cache_size=0.1,treshold=0.5]	63.9312	-5.77165
LR_7_decay_rtime[cache_size=0.1,treshold=0.5]	63.9337	-5.77175
LR_2[cache_size=0.2,treshold=0.5]	45.0499	-6.14131
LR_3[cache_size=0.2,treshold=0.5]	45.0549	-6.14262
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	49.8794	-6.41948
LR_4_mean[cache_size=0.1,treshold=0.5]	57.5545	-6.62283
LR_3[cache_size=0.4,treshold=0.5]	45.421	-6.65118
LR_decay_rtime[cache_size=0.1,treshold=0.5]	62.2269	-6.84264
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	53.6674	-6.9012
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	53.7159	-6.90644
LR_1_mean[cache_size=0.1,treshold=0.5]	56.234	-7.05716
LR_3_mean[cache_size=0.1,treshold=0.5]	56.597	-7.12355
LR_3_log[cache_size=0.1,treshold=0.5]	56.6925	-7.12823
LR_2_mean[cache_size=0.1,treshold=0.5]	56.6496	-7.13291
LR_2_log[cache_size=0.1,treshold=0.5]	56.7443	-7.13758
LR_4_mean[cache_size=0.2,treshold=0.5]	57.2024	-7.45427
LR_decay_vtime[cache_size=0.01,treshold=0.5]	78.9232	-7.48519
LR_7_decay_vtime[cache_size=0.1,treshold=0.5]	59.9793	-7.70458
LR_8_decay_vtime[cache_size=0.1,treshold=0.5]	60.1682	-7.73918
LR_9_decay_vtime[cache_size=0.1,treshold=0.5]	60.2324	-7.75181
LR_3_log[cache_size=0.2,treshold=0.5]	56.0493	-8.03613
LR_2_log[cache_size=0.2,treshold=0.5]	56.07	-8.04029
LR_1_mean[cache_size=0.2,treshold=0.5]	56.1234	-8.05928
LR_3_mean[cache_size=0.2,treshold=0.5]	56.142	-8.06386
LR_2_mean[cache_size=0.2,treshold=0.5]	56.1638	-8.06845
LR_2[cache_size=0.4,treshold=0.5]	52.7113	-8.11011
LR_4_mean[cache_size=0.4,treshold=0.5]	57.1944	-8.16416
LR_2_log[cache_size=0.4,treshold=0.5]	55.5757	-8.49391
LR_3_log[cache_size=0.4,treshold=0.5]	55.579	-8.49514
LR_8_decay_vtime[cache_size=0.2,treshold=0.5]	59.7881	-8.81204
LR_7_decay_vtime[cache_size=0.2,treshold=0.5]	59.7959	-8.81335
LR_9_decay_vtime[cache_size=0.2,treshold=0.5]	59.803	-8.81531
LR_1_mean[cache_size=0.4,treshold=0.5]	56.1563	-8.94771
LR_3_mean[cache_size=0.4,treshold=0.5]	56.1498	-8.94938
LR_2_mean[cache_size=0.4,treshold=0.5]	56.157	-8.95072
LR_decay_rtime[cache_size=0.2,treshold=0.5]	65.5437	-9.37553
LR_9_decay_rtime[cache_size=0.2,treshold=0.5]	66.8496	-9.47765
LR_7_decay_rtime[cache_size=0.2,treshold=0.5]	66.8721	-9.48085
LR_8_decay_rtime[cache_size=0.2,treshold=0.5]	66.895	-9.48223
LR_8_decay_vtime[cache_size=0.4,treshold=0.5]	59.2557	-9.68164
LR_9_decay_vtime[cache_size=0.4,treshold=0.5]	59.2698	-9.68432
LR_7_decay_vtime[cache_size=0.4,treshold=0.5]	59.2741	-9.68488
LR_8_decay_rtime[cache_size=0.4,treshold=0.5]	59.6394	-9.77829
LR_7_decay_rtime[cache_size=0.4,treshold=0.5]	59.6452	-9.78019
LR_9_decay_rtime[cache_size=0.4,treshold=0.5]	59.6513	-9.78152
LR_decay_rtime[cache_size=0.4,treshold=0.5]	77.4519	-14.9085
LR_decay_vtime[cache_size=0.1,treshold=0.5]	95.9036	-16.0733
LR_decay_vtime[cache_size=0.2,treshold=0.5]	97.8322	-20.197
LR_decay_vtime[cache_size=0.4,treshold=0.5]	99.0554	-26.0035

Cache Size 0.01

Model	Promotion Reduced (%)	Miss Ratio Reduced (%)
Offline Clock 2nd iteration	42.0861	0.361512
Zipf Optimal Distribution	8.82408	0.192718
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	0	0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	0	0
Offline Clock 1st iteration	0	0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	0	0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	0	0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	0	0
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	0.0011401	-0.000246702
LR_id[cache_size=0.01,treshold=0.5]	32.2721	-0.584438
LR_7_w_0_5[cache_size=0.01,treshold=0.5]	25.5143	-0.797055
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	34.1862	-0.837031
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	34.2059	-0.838541
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	34.209	-0.838788
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	23.0339	-1.69454
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	45.1346	-1.75994
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	45.1424	-1.76092
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	45.1473	-1.76166
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	24.7213	-1.83169
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	25.6759	-1.90972
LR_7_w_0_75[cache_size=0.01,treshold=0.5]	41.5667	-2.01481
LR_5_imba[cache_size=0.01,treshold=0.5]	41.3662	-2.02151
LR_6_imba[cache_size=0.01,treshold=0.5]	41.384	-2.02295
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	21.0563	-2.11292
LR_9_id[cache_size=0.01,treshold=0.5]	48.7273	-2.29665
LR_8_id[cache_size=0.01,treshold=0.5]	48.753	-2.30578
LR_7_id[cache_size=0.01,treshold=0.5]	48.7291	-2.30677
LR_1_log[cache_size=0.01,treshold=0.5]	48.9949	-2.83929
LR_4_log[cache_size=0.01,treshold=0.5]	50.164	-2.89383
LR_8_decay_rtime[cache_size=0.01,treshold=0.5]	56.4691	-3.01974
LR_9_decay_rtime[cache_size=0.01,treshold=0.5]	56.4804	-3.02112
LR_7_decay_rtime[cache_size=0.01,treshold=0.5]	56.4821	-3.02186
LR_6[cache_size=0.01,treshold=0.5]	53.9102	-3.15861
LR_4[cache_size=0.01,treshold=0.5]	53.9113	-3.15861
LR_4_std_scaler[cache_size=0.01,treshold=0.5]	53.9113	-3.15885
LR_5[cache_size=0.01,treshold=0.5]	53.9193	-3.15935
LR_4_robust_scaler[cache_size=0.01,treshold=0.5]	53.9157	-3.15935
LR_1[cache_size=0.01,treshold=0.5]	54.1065	-3.30691
LR_1_robust_scaler[cache_size=0.01,treshold=0.5]	54.1133	-3.30691
LR_1_std_scaler[cache_size=0.01,treshold=0.5]	54.1168	-3.30741
LR_7[cache_size=0.01,treshold=0.5]	58.0668	-3.69557
LR_3[cache_size=0.01,treshold=0.5]	45.6197	-3.69733
LR_8[cache_size=0.01,treshold=0.5]	58.1308	-3.70497
LR_2[cache_size=0.01,treshold=0.5]	45.8127	-3.71805
LR_9[cache_size=0.01,treshold=0.5]	58.3185	-3.72372
LR_4_mean[cache_size=0.01,treshold=0.5]	54.3158	-3.90247
LR_1_mean[cache_size=0.01,treshold=0.5]	53.6823	-4.04288
LR_3_log[cache_size=0.01,treshold=0.5]	57.4004	-4.8497
LR_3_mean[cache_size=0.01,treshold=0.5]	57.1968	-4.87562
LR_2_log[cache_size=0.01,treshold=0.5]	58.0127	-4.92004
LR_2_mean[cache_size=0.01,treshold=0.5]	57.8521	-4.94669
LR_decay_rtime[cache_size=0.01,treshold=0.5]	63.8992	-5.40919
LR_8_decay_vtime[cache_size=0.01,treshold=0.5]	63.6434	-5.60267
LR_7_decay_vtime[cache_size=0.01,treshold=0.5]	63.656	-5.60483
LR_9_decay_vtime[cache_size=0.01,treshold=0.5]	64.4977	-5.70079
LR_decay_vtime[cache_size=0.01,treshold=0.5]	78.9232	-7.48519

Cache Size 0.1

Model	Promotion Reduced (%)	Miss Ratio Reduced (%)
Offline Clock 2nd iteration	43.0175	1.84941
Zipf Optimal Distribution	13.1121	0.902408
LR_id[cache_size=0.1,treshold=0.5]	33.0343	0.191227
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	0	0
Offline Clock 1st iteration	0	0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	0	0
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	0.0265709	-0.00280568
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	0.193242	-0.0187045
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	0.900935	-0.0837164
LR_7_w_0_5[cache_size=0.1,treshold=0.5]	29.9179	-1.1497
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	28.5346	-1.37908
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	28.5238	-1.38002
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	28.5068	-1.38282
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	19.9197	-2.25358
LR_6_imba[cache_size=0.1,treshold=0.5]	38.418	-2.51774
LR_5_imba[cache_size=0.1,treshold=0.5]	38.4113	-2.51868
LR_9_id[cache_size=0.1,treshold=0.5]	50.5947	-2.83755
LR_8_id[cache_size=0.1,treshold=0.5]	50.6011	-2.84175
LR_7_id[cache_size=0.1,treshold=0.5]	50.6118	-2.84269
LR_7_w_0_75[cache_size=0.1,treshold=0.5]	45.562	-2.89088
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	51.8849	-3.5601
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	51.948	-3.56711
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	52.054	-3.5872
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	34.397	-3.81635
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	34.4537	-3.82383
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	34.4972	-3.82944
LR_4_robust_scaler[cache_size=0.1,treshold=0.5]	51.9215	-4.00639
LR_4_std_scaler[cache_size=0.1,treshold=0.5]	51.9286	-4.00639
LR_4[cache_size=0.1,treshold=0.5]	51.9257	-4.00686
LR_6[cache_size=0.1,treshold=0.5]	51.9291	-4.00733
LR_5[cache_size=0.1,treshold=0.5]	51.9419	-4.01013
LR_1_log[cache_size=0.1,treshold=0.5]	50.5473	-4.02368
LR_4_log[cache_size=0.1,treshold=0.5]	51.467	-4.04429
LR_1_robust_scaler[cache_size=0.1,treshold=0.5]	50.6831	-4.15594
LR_1[cache_size=0.1,treshold=0.5]	50.6869	-4.1564
LR_1_std_scaler[cache_size=0.1,treshold=0.5]	50.6836	-4.15734
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	44.4691	-4.61329
LR_8[cache_size=0.1,treshold=0.5]	59.2066	-5.06472
LR_7[cache_size=0.1,treshold=0.5]	59.2247	-5.06612
LR_9[cache_size=0.1,treshold=0.5]	59.2495	-5.06939
LR_2[cache_size=0.1,treshold=0.5]	45.1962	-5.3983
LR_3[cache_size=0.1,treshold=0.5]	45.1982	-5.39877
LR_9_decay_rtime[cache_size=0.1,treshold=0.5]	63.9207	-5.76988
LR_8_decay_rtime[cache_size=0.1,treshold=0.5]	63.9312	-5.77165
LR_7_decay_rtime[cache_size=0.1,treshold=0.5]	63.9337	-5.77175
LR_4_mean[cache_size=0.1,treshold=0.5]	57.5545	-6.62283
LR_decay_rtime[cache_size=0.1,treshold=0.5]	62.2269	-6.84264
LR_1_mean[cache_size=0.1,treshold=0.5]	56.234	-7.05716
LR_3_mean[cache_size=0.1,treshold=0.5]	56.597	-7.12355
LR_3_log[cache_size=0.1,treshold=0.5]	56.6925	-7.12823
LR_2_mean[cache_size=0.1,treshold=0.5]	56.6496	-7.13291
LR_2_log[cache_size=0.1,treshold=0.5]	56.7443	-7.13758
LR_7_decay_vtime[cache_size=0.1,treshold=0.5]	59.9793	-7.70458
LR_8_decay_vtime[cache_size=0.1,treshold=0.5]	60.1682	-7.73918
LR_9_decay_vtime[cache_size=0.1,treshold=0.5]	60.2324	-7.75181
LR_decay_vtime[cache_size=0.1,treshold=0.5]	95.9036	-16.0733

Cache Size 0.2

Model	Promotion Reduced (%)	Miss Ratio Reduced (%)
Offline Clock 2nd iteration	43.2233	3.56334
Zipf Optimal Distribution	15.0351	1.67163
LR_id[cache_size=0.2,treshold=0.5]	34.0395	1.15195
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	0.000679926	0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	0	0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	0	0
Offline Clock 1st iteration	0	0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	0	0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	0	0
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	0.00361985	-0.000654515
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	4.42291	-0.467822
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	4.54304	-0.481562
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	4.61077	-0.488922
LR_7_w_0_5[cache_size=0.2,treshold=0.5]	29.2006	-0.974141
LR_6_imba[cache_size=0.2,treshold=0.5]	35.6227	-2.44975
LR_5_imba[cache_size=0.2,treshold=0.5]	35.5945	-2.45302
LR_7_id[cache_size=0.2,treshold=0.5]	51.5201	-2.6599
LR_9_id[cache_size=0.2,treshold=0.5]	51.5294	-2.66102
LR_8_id[cache_size=0.2,treshold=0.5]	51.5302	-2.66364
LR_7_w_0_75[cache_size=0.2,treshold=0.5]	45.2721	-2.8419
LR_6[cache_size=0.2,treshold=0.5]	49.5788	-4.19237
LR_4_robust_scaler[cache_size=0.2,treshold=0.5]	49.579	-4.19237
LR_4[cache_size=0.2,treshold=0.5]	49.5801	-4.19302
LR_4_std_scaler[cache_size=0.2,treshold=0.5]	49.5642	-4.19368
LR_5[cache_size=0.2,treshold=0.5]	49.5682	-4.1963
LR_1_robust_scaler[cache_size=0.2,treshold=0.5]	48.9129	-4.35281
LR_1[cache_size=0.2,treshold=0.5]	48.9058	-4.35281
LR_1_std_scaler[cache_size=0.2,treshold=0.5]	48.8944	-4.35608
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	47.8873	-4.46885
LR_4_log[cache_size=0.2,treshold=0.5]	52.3282	-4.49624
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	35.8388	-4.50437
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	35.8626	-4.5083
LR_1_log[cache_size=0.2,treshold=0.5]	51.6212	-4.50932
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	35.8913	-4.51419
LR_8[cache_size=0.2,treshold=0.5]	59.3574	-5.35581
LR_7[cache_size=0.2,treshold=0.5]	59.3645	-5.35646
LR_9[cache_size=0.2,treshold=0.5]	59.3861	-5.35997
LR_2[cache_size=0.2,treshold=0.5]	45.0499	-6.14131
LR_3[cache_size=0.2,treshold=0.5]	45.0549	-6.14262
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	49.8794	-6.41948
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	53.6674	-6.9012
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	53.7159	-6.90644
LR_4_mean[cache_size=0.2,treshold=0.5]	57.2024	-7.45427
LR_3_log[cache_size=0.2,treshold=0.5]	56.0493	-8.03613
LR_2_log[cache_size=0.2,treshold=0.5]	56.07	-8.04029
LR_1_mean[cache_size=0.2,treshold=0.5]	56.1234	-8.05928
LR_3_mean[cache_size=0.2,treshold=0.5]	56.142	-8.06386
LR_2_mean[cache_size=0.2,treshold=0.5]	56.1638	-8.06845
LR_8_decay_vtime[cache_size=0.2,treshold=0.5]	59.7881	-8.81204
LR_7_decay_vtime[cache_size=0.2,treshold=0.5]	59.7959	-8.81335
LR_9_decay_vtime[cache_size=0.2,treshold=0.5]	59.803	-8.81531
LR_decay_rtime[cache_size=0.2,treshold=0.5]	65.5437	-9.37553
LR_9_decay_rtime[cache_size=0.2,treshold=0.5]	66.8496	-9.47765
LR_7_decay_rtime[cache_size=0.2,treshold=0.5]	66.8721	-9.48085
LR_8_decay_rtime[cache_size=0.2,treshold=0.5]	66.895	-9.48223
LR_decay_vtime[cache_size=0.2,treshold=0.5]	97.8322	-20.197

Cache Size 0.4

Model	Promotion Reduced (%)	Miss Ratio Reduced (%)
Offline Clock 2nd iteration	43.46	7.8007
Zipf Optimal Distribution	17.0793	3.33616
LR_id[cache_size=0.4,treshold=0.5]	37.674	3.28171
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	0	0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	0	0
Offline Clock 1st iteration	0	0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	0	0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	0	0
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	3.87906	-0.421301
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	3.88183	-0.421301
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	3.90182	-0.422638
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	3.92493	-0.425535
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	3.92493	-0.425535
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	3.9441	-0.427763
LR_7_w_0_5[cache_size=0.4,treshold=0.5]	23.7731	-0.699754
LR_9_id[cache_size=0.4,treshold=0.5]	53.7463	-1.78827
LR_8_id[cache_size=0.4,treshold=0.5]	53.7448	-1.78961
LR_7_id[cache_size=0.4,treshold=0.5]	53.7617	-1.79585
LR_6_imba[cache_size=0.4,treshold=0.5]	30.6029	-1.90084
LR_5_imba[cache_size=0.4,treshold=0.5]	30.4108	-1.90786
LR_7_w_0_75[cache_size=0.4,treshold=0.5]	40.954	-2.13337
LR_6[cache_size=0.4,treshold=0.5]	47.6849	-4.22583
LR_4_robust_scaler[cache_size=0.4,treshold=0.5]	47.6836	-4.22739
LR_4_std_scaler[cache_size=0.4,treshold=0.5]	47.6522	-4.23898
LR_5[cache_size=0.4,treshold=0.5]	47.6681	-4.24121
LR_1_robust_scaler[cache_size=0.4,treshold=0.5]	47.6458	-4.28925
LR_1[cache_size=0.4,treshold=0.5]	47.6471	-4.28948
LR_1_std_scaler[cache_size=0.4,treshold=0.5]	47.63	-4.30698
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	32.7553	-4.31555
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	32.7715	-4.31778
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	32.7728	-4.31789
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	32.7803	-4.31946
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	32.7867	-4.31946
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	32.7871	-4.31957
LR_4[cache_size=0.4,treshold=0.5]	49.0172	-4.50886
LR_4_log[cache_size=0.4,treshold=0.5]	53.7702	-4.87794
LR_1_log[cache_size=0.4,treshold=0.5]	53.5565	-4.89544
LR_9[cache_size=0.4,treshold=0.5]	59.5096	-5.15506
LR_7[cache_size=0.4,treshold=0.5]	59.5067	-5.15518
LR_8[cache_size=0.4,treshold=0.5]	59.5021	-5.15551
LR_3[cache_size=0.4,treshold=0.5]	45.421	-6.65118
LR_2[cache_size=0.4,treshold=0.5]	52.7113	-8.11011
LR_4_mean[cache_size=0.4,treshold=0.5]	57.1944	-8.16416
LR_2_log[cache_size=0.4,treshold=0.5]	55.5757	-8.49391
LR_3_log[cache_size=0.4,treshold=0.5]	55.579	-8.49514
LR_1_mean[cache_size=0.4,treshold=0.5]	56.1563	-8.94771
LR_3_mean[cache_size=0.4,treshold=0.5]	56.1498	-8.94938
LR_2_mean[cache_size=0.4,treshold=0.5]	56.157	-8.95072
LR_8_decay_vtime[cache_size=0.4,treshold=0.5]	59.2557	-9.68164
LR_9_decay_vtime[cache_size=0.4,treshold=0.5]	59.2698	-9.68432
LR_7_decay_vtime[cache_size=0.4,treshold=0.5]	59.2741	-9.68488
LR_8_decay_rtime[cache_size=0.4,treshold=0.5]	59.6394	-9.77829
LR_7_decay_rtime[cache_size=0.4,treshold=0.5]	59.6452	-9.78019
LR_9_decay_rtime[cache_size=0.4,treshold=0.5]	59.6513	-9.78152
LR_decay_rtime[cache_size=0.4,treshold=0.5]	77.4519	-14.9085
LR_decay_vtime[cache_size=0.4,treshold=0.5]	99.0554	-26.0035

Model Classification Report

LR_1

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.86      0.68      0.76  30231476
           1       0.63      0.83      0.72  19809713

    accuracy                           0.74  50041189
   macro avg       0.74      0.76      0.74  50041189
weighted avg       0.77      0.74      0.74  50041189

Accuracy: 0.7399302402666731

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.86      0.73      0.79  29263977
           1       0.67      0.82      0.74  18981990

    accuracy                           0.77  48245967
   macro avg       0.76      0.78      0.76  48245967
weighted avg       0.79      0.77      0.77  48245967

Accuracy: 0.7676230637060296

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.87      0.75      0.81  28400293
           1       0.67      0.81      0.74  17762125

    accuracy                           0.78  46162418
   macro avg       0.77      0.78      0.77  46162418
weighted avg       0.79      0.78      0.78  46162418

Accuracy: 0.7765185523860557

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.87      0.77      0.82  26121772
           1       0.66      0.80      0.72  14505950

    accuracy                           0.78  40627722
   macro avg       0.76      0.78      0.77  40627722
weighted avg       0.79      0.78      0.78  40627722

Accuracy: 0.7780763587975718

LR_1_log

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.84      0.73      0.78  30231476
           1       0.66      0.78      0.71  19809713

    accuracy                           0.75  50041189
   macro avg       0.75      0.76      0.75  50041189
weighted avg       0.77      0.75      0.75  50041189

Accuracy: 0.751373373642261

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.86      0.73      0.79  29263977
           1       0.66      0.81      0.73  18981990

    accuracy                           0.76  48245967
   macro avg       0.76      0.77      0.76  48245967
weighted avg       0.78      0.76      0.76  48245967

Accuracy: 0.761670193075413

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.87      0.72      0.79  28400293
           1       0.65      0.83      0.73  17762125

    accuracy                           0.76  46162418
   macro avg       0.76      0.77      0.76  46162418
weighted avg       0.79      0.76      0.77  46162418

Accuracy: 0.7624651507639829

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.88      0.71      0.79  26121772
           1       0.61      0.83      0.71  14505950

    accuracy                           0.75  40627722
   macro avg       0.75      0.77      0.75  40627722
weighted avg       0.79      0.75      0.76  40627722

Accuracy: 0.7535204164289595

LR_1_mean

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.81      0.66      0.73  30231476
           1       0.60      0.76      0.67  19809713

    accuracy                           0.70  50041189
   macro avg       0.70      0.71      0.70  50041189
weighted avg       0.73      0.70      0.71  50041189

Accuracy: 0.7019766456788227

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.83      0.64      0.72  29263977
           1       0.59      0.80      0.68  18981990

    accuracy                           0.70  48245967
   macro avg       0.71      0.72      0.70  48245967
weighted avg       0.74      0.70      0.71  48245967

Accuracy: 0.7043372143416672

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.85      0.66      0.74  28400293
           1       0.60      0.82      0.69  17762125

    accuracy                           0.72  46162418
   macro avg       0.73      0.74      0.72  46162418
weighted avg       0.75      0.72      0.72  46162418

Accuracy: 0.7203463865346048

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.89      0.69      0.77  26121772
           1       0.60      0.84      0.70  14505950

    accuracy                           0.74  40627722
   macro avg       0.74      0.76      0.74  40627722
weighted avg       0.78      0.74      0.75  40627722

Accuracy: 0.7424505612202427

LR_1_robust_scaler

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.86      0.68      0.76  30231476
           1       0.63      0.83      0.72  19809713

    accuracy                           0.74  50041189
   macro avg       0.74      0.76      0.74  50041189
weighted avg       0.77      0.74      0.74  50041189

Accuracy: 0.7398954289435449

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.86      0.73      0.79  29263977
           1       0.67      0.82      0.74  18981990

    accuracy                           0.77  48245967
   macro avg       0.76      0.78      0.76  48245967
weighted avg       0.79      0.77      0.77  48245967

Accuracy: 0.7676340283530849

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.87      0.75      0.81  28400293
           1       0.67      0.81      0.74  17762125

    accuracy                           0.78  46162418
   macro avg       0.77      0.78      0.77  46162418
weighted avg       0.79      0.78      0.78  46162418

Accuracy: 0.7765035618368171

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.87      0.77      0.82  26121772
           1       0.66      0.80      0.72  14505950

    accuracy                           0.78  40627722
   macro avg       0.76      0.78      0.77  40627722
weighted avg       0.79      0.78      0.78  40627722

Accuracy: 0.7780789678535263

LR_1_std_scaler

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.86      0.68      0.76  30231476
           1       0.63      0.83      0.72  19809713

    accuracy                           0.74  50041189
   macro avg       0.74      0.76      0.74  50041189
weighted avg       0.77      0.74      0.74  50041189

Accuracy: 0.739903102622122

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.86      0.73      0.79  29263977
           1       0.67      0.82      0.74  18981990

    accuracy                           0.77  48245967
   macro avg       0.76      0.78      0.76  48245967
weighted avg       0.79      0.77      0.77  48245967

Accuracy: 0.7676588387170269

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.87      0.75      0.81  28400293
           1       0.67      0.81      0.74  17762125

    accuracy                           0.78  46162418
   macro avg       0.77      0.78      0.77  46162418
weighted avg       0.79      0.78      0.78  46162418

Accuracy: 0.7765868113754353

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.87      0.77      0.82  26121772
           1       0.66      0.80      0.72  14505950

    accuracy                           0.78  40627722
   macro avg       0.76      0.78      0.77  40627722
weighted avg       0.79      0.78      0.78  40627722

Accuracy: 0.7782466120054676

LR_2

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.75      0.71      0.73  30231476
           1       0.59      0.63      0.61  19809713

    accuracy                           0.68  50041189
   macro avg       0.67      0.67      0.67  50041189
weighted avg       0.68      0.68      0.68  50041189

Accuracy: 0.6778870302222435

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.78      0.73      0.75  29263977
           1       0.62      0.68      0.65  18981990

    accuracy                           0.71  48245967
   macro avg       0.70      0.70      0.70  48245967
weighted avg       0.72      0.71      0.71  48245967

Accuracy: 0.7090260414927532

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.80      0.74      0.77  28400293
           1       0.63      0.71      0.67  17762125

    accuracy                           0.73  46162418
   macro avg       0.72      0.72      0.72  46162418
weighted avg       0.74      0.73      0.73  46162418

Accuracy: 0.7284046299307805

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.85      0.69      0.77  26121772
           1       0.59      0.78      0.67  14505950

    accuracy                           0.73  40627722
   macro avg       0.72      0.74      0.72  40627722
weighted avg       0.76      0.73      0.73  40627722

Accuracy: 0.726333216516545

LR_2_log

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.80      0.61      0.69  30231476
           1       0.56      0.76      0.65  19809713

    accuracy                           0.67  50041189
   macro avg       0.68      0.69      0.67  50041189
weighted avg       0.70      0.67      0.68  50041189

Accuracy: 0.6719362523540358

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.83      0.64      0.73  29263977
           1       0.59      0.80      0.68  18981990

    accuracy                           0.71  48245967
   macro avg       0.71      0.72      0.70  48245967
weighted avg       0.74      0.71      0.71  48245967

Accuracy: 0.7052470313218098

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.85      0.66      0.74  28400293
           1       0.60      0.81      0.69  17762125

    accuracy                           0.72  46162418
   macro avg       0.72      0.74      0.72  46162418
weighted avg       0.75      0.72      0.72  46162418

Accuracy: 0.7193205087307168

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.88      0.69      0.77  26121772
           1       0.59      0.83      0.69  14505950

    accuracy                           0.74  40627722
   macro avg       0.74      0.76      0.73  40627722
weighted avg       0.78      0.74      0.74  40627722

Accuracy: 0.7374874968377504

LR_2_mean

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.80      0.60      0.69  30231476
           1       0.56      0.77      0.65  19809713

    accuracy                           0.67  50041189
   macro avg       0.68      0.69      0.67  50041189
weighted avg       0.70      0.67      0.67  50041189

Accuracy: 0.6680492943522984

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.83      0.64      0.72  29263977
           1       0.59      0.80      0.68  18981990

    accuracy                           0.70  48245967
   macro avg       0.71      0.72      0.70  48245967
weighted avg       0.74      0.70      0.71  48245967

Accuracy: 0.7039362896384687

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.85      0.66      0.74  28400293
           1       0.60      0.82      0.69  17762125

    accuracy                           0.72  46162418
   macro avg       0.73      0.74      0.72  46162418
weighted avg       0.75      0.72      0.72  46162418

Accuracy: 0.7202753980521558

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.89      0.69      0.77  26121772
           1       0.60      0.84      0.70  14505950

    accuracy                           0.74  40627722
   macro avg       0.74      0.76      0.74  40627722
weighted avg       0.78      0.74      0.75  40627722

Accuracy: 0.7423285509337688

LR_3

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.75      0.71      0.73  30231476
           1       0.59      0.63      0.61  19809713

    accuracy                           0.68  50041189
   macro avg       0.67      0.67      0.67  50041189
weighted avg       0.68      0.68      0.68  50041189

Accuracy: 0.6782051881301222

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.78      0.73      0.75  29263977
           1       0.62      0.68      0.65  18981990

    accuracy                           0.71  48245967
   macro avg       0.70      0.70      0.70  48245967
weighted avg       0.72      0.71      0.71  48245967

Accuracy: 0.7090318243595366

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.80      0.74      0.77  28400293
           1       0.63      0.71      0.67  17762125

    accuracy                           0.73  46162418
   macro avg       0.72      0.72      0.72  46162418
weighted avg       0.74      0.73      0.73  46162418

Accuracy: 0.7283977628728201

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.84      0.76      0.80  26121772
           1       0.63      0.74      0.68  14505950

    accuracy                           0.75  40627722
   macro avg       0.74      0.75      0.74  40627722
weighted avg       0.77      0.75      0.76  40627722

Accuracy: 0.7534139866370061

LR_3_log

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.79      0.62      0.70  30231476
           1       0.57      0.75      0.65  19809713

    accuracy                           0.67  50041189
   macro avg       0.68      0.69      0.67  50041189
weighted avg       0.70      0.67      0.68  50041189

Accuracy: 0.6729913232077679

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.83      0.64      0.73  29263977
           1       0.59      0.80      0.68  18981990

    accuracy                           0.71  48245967
   macro avg       0.71      0.72      0.70  48245967
weighted avg       0.74      0.71      0.71  48245967

Accuracy: 0.7053253798395211

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.85      0.66      0.74  28400293
           1       0.60      0.81      0.69  17762125

    accuracy                           0.72  46162418
   macro avg       0.72      0.74      0.72  46162418
weighted avg       0.75      0.72      0.72  46162418

Accuracy: 0.7193616677531927

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.88      0.69      0.77  26121772
           1       0.59      0.83      0.69  14505950

    accuracy                           0.74  40627722
   macro avg       0.74      0.76      0.73  40627722
weighted avg       0.78      0.74      0.74  40627722

Accuracy: 0.7374562620075031

LR_3_mean

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.80      0.61      0.69  30231476
           1       0.56      0.76      0.65  19809713

    accuracy                           0.67  50041189
   macro avg       0.68      0.68      0.67  50041189
weighted avg       0.70      0.67      0.67  50041189

Accuracy: 0.6690288873831515

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.83      0.64      0.72  29263977
           1       0.59      0.80      0.68  18981990

    accuracy                           0.70  48245967
   macro avg       0.71      0.72      0.70  48245967
weighted avg       0.74      0.70      0.71  48245967

Accuracy: 0.704026950066106

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.85      0.66      0.74  28400293
           1       0.60      0.82      0.69  17762125

    accuracy                           0.72  46162418
   macro avg       0.73      0.74      0.72  46162418
weighted avg       0.75      0.72      0.72  46162418

Accuracy: 0.7203059207167181

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.89      0.69      0.77  26121772
           1       0.60      0.84      0.70  14505950

    accuracy                           0.74  40627722
   macro avg       0.74      0.76      0.74  40627722
weighted avg       0.78      0.74      0.75  40627722

Accuracy: 0.7423466912567729

LR_4

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.86      0.69      0.76  30231476
           1       0.64      0.83      0.72  19809713

    accuracy                           0.74  50041189
   macro avg       0.75      0.76      0.74  50041189
weighted avg       0.77      0.74      0.75  50041189

Accuracy: 0.7441577777058814

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.86      0.72      0.78  29263977
           1       0.65      0.82      0.73  18981990

    accuracy                           0.76  48245967
   macro avg       0.76      0.77      0.76  48245967
weighted avg       0.78      0.76      0.76  48245967

Accuracy: 0.7597472551436268

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.87      0.75      0.80  28400293
           1       0.67      0.81      0.73  17762125

    accuracy                           0.77  46162418
   macro avg       0.77      0.78      0.77  46162418
weighted avg       0.79      0.77      0.78  46162418

Accuracy: 0.7725367852264584

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.87      0.75      0.81  26121772
           1       0.64      0.80      0.72  14505950

    accuracy                           0.77  40627722
   macro avg       0.76      0.78      0.76  40627722
weighted avg       0.79      0.77      0.78  40627722

Accuracy: 0.7714900924053778

LR_4_log

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.85      0.73      0.78  30231476
           1       0.66      0.80      0.72  19809713

    accuracy                           0.76  50041189
   macro avg       0.75      0.76      0.75  50041189
weighted avg       0.77      0.76      0.76  50041189

Accuracy: 0.7556142600848273

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.86      0.72      0.79  29263977
           1       0.66      0.82      0.73  18981990

    accuracy                           0.76  48245967
   macro avg       0.76      0.77      0.76  48245967
weighted avg       0.78      0.76      0.77  48245967

Accuracy: 0.7633229529838215

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.87      0.72      0.79  28400293
           1       0.65      0.83      0.73  17762125

    accuracy                           0.76  46162418
   macro avg       0.76      0.78      0.76  46162418
weighted avg       0.79      0.76      0.77  46162418

Accuracy: 0.7624388306522418

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.88      0.71      0.79  26121772
           1       0.61      0.83      0.71  14505950

    accuracy                           0.75  40627722
   macro avg       0.75      0.77      0.75  40627722
weighted avg       0.79      0.75      0.76  40627722

Accuracy: 0.7531053303948472

LR_4_mean

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.83      0.67      0.74  30231476
           1       0.61      0.80      0.69  19809713

    accuracy                           0.72  50041189
   macro avg       0.72      0.73      0.72  50041189
weighted avg       0.75      0.72      0.72  50041189

Accuracy: 0.7192444607980838

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.86      0.66      0.74  29263977
           1       0.61      0.83      0.71  18981990

    accuracy                           0.73  48245967
   macro avg       0.74      0.75      0.72  48245967
weighted avg       0.76      0.73      0.73  48245967

Accuracy: 0.7260401890172499

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.88      0.67      0.76  28400293
           1       0.62      0.85      0.71  17762125

    accuracy                           0.74  46162418
   macro avg       0.75      0.76      0.74  46162418
weighted avg       0.78      0.74      0.74  46162418

Accuracy: 0.7395020555465703

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.89      0.68      0.77  26121772
           1       0.59      0.84      0.70  14505950

    accuracy                           0.74  40627722
   macro avg       0.74      0.76      0.73  40627722
weighted avg       0.78      0.74      0.74  40627722

Accuracy: 0.7376153159657831

LR_4_robust_scaler

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.86      0.69      0.76  30231476
           1       0.64      0.83      0.72  19809713

    accuracy                           0.74  50041189
   macro avg       0.75      0.76      0.74  50041189
weighted avg       0.77      0.74      0.75  50041189

Accuracy: 0.7441431897231698

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.86      0.72      0.78  29263977
           1       0.65      0.82      0.73  18981990

    accuracy                           0.76  48245967
   macro avg       0.76      0.77      0.76  48245967
weighted avg       0.78      0.76      0.76  48245967

Accuracy: 0.7597623652148997

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.87      0.75      0.80  28400293
           1       0.67      0.81      0.73  17762125

    accuracy                           0.77  46162418
   macro avg       0.77      0.78      0.77  46162418
weighted avg       0.79      0.77      0.78  46162418

Accuracy: 0.7725374784310475

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.87      0.77      0.82  26121772
           1       0.65      0.80      0.72  14505950

    accuracy                           0.78  40627722
   macro avg       0.76      0.78      0.77  40627722
weighted avg       0.79      0.78      0.78  40627722

Accuracy: 0.7776418032987427

LR_4_std_scaler

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.86      0.69      0.76  30231476
           1       0.64      0.83      0.72  19809713

    accuracy                           0.74  50041189
   macro avg       0.75      0.76      0.74  50041189
weighted avg       0.77      0.74      0.75  50041189

Accuracy: 0.7441570183314389

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.86      0.72      0.78  29263977
           1       0.65      0.82      0.73  18981990

    accuracy                           0.76  48245967
   macro avg       0.76      0.77      0.76  48245967
weighted avg       0.78      0.76      0.76  48245967

Accuracy: 0.7597217815118101

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.87      0.75      0.80  28400293
           1       0.67      0.81      0.73  17762125

    accuracy                           0.77  46162418
   macro avg       0.77      0.78      0.77  46162418
weighted avg       0.79      0.77      0.78  46162418

Accuracy: 0.7726121928881629

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.87      0.77      0.82  26121772
           1       0.66      0.80      0.72  14505950

    accuracy                           0.78  40627722
   macro avg       0.76      0.78      0.77  40627722
weighted avg       0.79      0.78      0.78  40627722

Accuracy: 0.7778286461643111

LR_5

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.86      0.69      0.76  30231476
           1       0.64      0.83      0.72  19809713

    accuracy                           0.74  50041189
   macro avg       0.75      0.76      0.74  50041189
weighted avg       0.77      0.74      0.75  50041189

Accuracy: 0.7441325384974365

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.86      0.72      0.78  29263977
           1       0.65      0.82      0.73  18981990

    accuracy                           0.76  48245967
   macro avg       0.76      0.77      0.76  48245967
weighted avg       0.78      0.76      0.76  48245967

Accuracy: 0.7597230873204386

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.87      0.75      0.80  28400293
           1       0.67      0.81      0.73  17762125

    accuracy                           0.77  46162418
   macro avg       0.77      0.78      0.77  46162418
weighted avg       0.79      0.77      0.78  46162418

Accuracy: 0.7726382963734698

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.87      0.77      0.82  26121772
           1       0.66      0.80      0.72  14505950

    accuracy                           0.78  40627722
   macro avg       0.76      0.78      0.77  40627722
weighted avg       0.79      0.78      0.78  40627722

Accuracy: 0.7777381414591741

LR_5_imba

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.81      0.79      0.80  30231476
           1       0.69      0.71      0.70  19809713

    accuracy                           0.76  50041189
   macro avg       0.75      0.75      0.75  50041189
weighted avg       0.76      0.76      0.76  50041189

Accuracy: 0.7600381158009655

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.81      0.82      0.81  29263977
           1       0.72      0.70      0.71  18981990

    accuracy                           0.77  48245967
   macro avg       0.76      0.76      0.76  48245967
weighted avg       0.77      0.77      0.77  48245967

Accuracy: 0.7730094828444417

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.81      0.83      0.82  28400293
           1       0.72      0.68      0.70  17762125

    accuracy                           0.77  46162418
   macro avg       0.76      0.76      0.76  46162418
weighted avg       0.77      0.77      0.77  46162418

Accuracy: 0.7742529864878396

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.81      0.86      0.83  26121772
           1       0.72      0.64      0.68  14505950

    accuracy                           0.78  40627722
   macro avg       0.76      0.75      0.76  40627722
weighted avg       0.78      0.78      0.78  40627722

Accuracy: 0.7811903163066835

LR_6

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.86      0.69      0.76  30231476
           1       0.64      0.83      0.72  19809713

    accuracy                           0.74  50041189
   macro avg       0.75      0.76      0.74  50041189
weighted avg       0.77      0.74      0.75  50041189

Accuracy: 0.744151862578645

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.86      0.72      0.78  29263977
           1       0.65      0.82      0.73  18981990

    accuracy                           0.76  48245967
   macro avg       0.76      0.77      0.76  48245967
weighted avg       0.78      0.76      0.76  48245967

Accuracy: 0.759735938135513

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.87      0.75      0.80  28400293
           1       0.67      0.81      0.73  17762125

    accuracy                           0.77  46162418
   macro avg       0.77      0.78      0.77  46162418
weighted avg       0.79      0.77      0.78  46162418

Accuracy: 0.7725369801902491

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.87      0.77      0.82  26121772
           1       0.65      0.80      0.72  14505950

    accuracy                           0.78  40627722
   macro avg       0.76      0.78      0.77  40627722
weighted avg       0.79      0.78      0.78  40627722

Accuracy: 0.7776248198213033

LR_6_imba

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.81      0.79      0.80  30231476
           1       0.69      0.71      0.70  19809713

    accuracy                           0.76  50041189
   macro avg       0.75      0.75      0.75  50041189
weighted avg       0.76      0.76      0.76  50041189

Accuracy: 0.7600415130024188

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.81      0.82      0.81  29263977
           1       0.72      0.70      0.71  18981990

    accuracy                           0.77  48245967
   macro avg       0.76      0.76      0.76  48245967
weighted avg       0.77      0.77      0.77  48245967

Accuracy: 0.7730505847255585

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.81      0.83      0.82  28400293
           1       0.72      0.68      0.70  17762125

    accuracy                           0.77  46162418
   macro avg       0.76      0.76      0.76  46162418
weighted avg       0.77      0.77      0.77  46162418

Accuracy: 0.7744190523122078

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.81      0.86      0.83  26121772
           1       0.72      0.64      0.68  14505950

    accuracy                           0.78  40627722
   macro avg       0.76      0.75      0.76  40627722
weighted avg       0.78      0.78      0.78  40627722

Accuracy: 0.7814035450966215

LR_7

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28055468
           1       0.64      0.84      0.73  21729815

    accuracy                           0.73  49785283
   macro avg       0.74      0.74      0.73  49785283
weighted avg       0.75      0.73      0.73  49785283

Accuracy: 0.726206618128494

              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28055468
           1       0.64      0.84      0.73  21729815

    accuracy                           0.73  49785283
   macro avg       0.74      0.74      0.73  49785283
weighted avg       0.75      0.73      0.73  49785283

Accuracy: 0.7262065980422368

0-1%

              precision    recall  f1-score   support

           0       0.84      0.65      0.73  27764588
           1       0.58      0.80      0.67  17098553

    accuracy                           0.70  44863141
   macro avg       0.71      0.72      0.70  44863141
weighted avg       0.74      0.70      0.71  44863141

Accuracy: 0.7031807246844353

              precision    recall  f1-score   support

           0       0.84      0.65      0.73  27764588
           1       0.58      0.80      0.67  17098553

    accuracy                           0.70  44863141
   macro avg       0.71      0.72      0.70  44863141
weighted avg       0.74      0.70      0.71  44863141

Accuracy: 0.7031807469744483

1-10%

              precision    recall  f1-score   support

           0       0.09      0.01      0.02    287564
           1       0.94      0.99      0.96   4164787

    accuracy                           0.93   4452351
   macro avg       0.51      0.50      0.49   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.9303529753157377

              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28052152
           1       0.64      0.83      0.72  21263340

    accuracy                           0.72  49315492
   macro avg       0.74      0.74      0.72  49315492
weighted avg       0.75      0.72      0.72  49315492

Accuracy: 0.7236905392731355

10-20%

              precision    recall  f1-score   support

           0       0.01      0.00      0.00      2455
           1       0.99      1.00      0.99    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.98    260071

Accuracy: 0.988637718161579

              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28054607
           1       0.64      0.84      0.73  21520956

    accuracy                           0.73  49575563
   macro avg       0.74      0.74      0.73  49575563
weighted avg       0.75      0.73      0.73  49575563

Accuracy: 0.7250804393285458

20-40%

              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28055266
           1       0.64      0.84      0.73  21651524

    accuracy                           0.73  49706790
   macro avg       0.74      0.74      0.73  49706790
weighted avg       0.75      0.73      0.73  49706790

Accuracy: 0.7257862959969855

              precision    recall  f1-score   support

           0       0.01      0.00      0.01       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9924482004465545

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           0.99     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      0.99      0.99     65403

Accuracy: 0.9926150176597404

              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28055435
           1       0.64      0.84      0.73  21716758

    accuracy                           0.73  49772193
   macro avg       0.74      0.74      0.73  49772193
weighted avg       0.75      0.73      0.73  49772193

Accuracy: 0.7261369214734018

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      0.99      1.00      7371

    accuracy                           0.99      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      0.99      0.99      7386

Accuracy: 0.9928242621175196

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      0.99      0.99      5686

    accuracy                           0.99      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      0.99      0.99      5704

Accuracy: 0.9891304347826086

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.83      0.64      0.73  26119367
           1       0.66      0.85      0.74  21615229

    accuracy                           0.73  47734596
   macro avg       0.75      0.74      0.73  47734596
weighted avg       0.76      0.73      0.73  47734596

Accuracy: 0.7341488131584899

              precision    recall  f1-score   support

           0       0.83      0.64      0.73  26119367
           1       0.66      0.85      0.74  21615229

    accuracy                           0.73  47734596
   macro avg       0.75      0.74      0.73  47734596
weighted avg       0.76      0.73      0.73  47734596

Accuracy: 0.7341488131584899

0-1%

              precision    recall  f1-score   support

           0       0.97      0.91      0.94  12053010
           1       0.10      0.23      0.14    508421

    accuracy                           0.88  12561431
   macro avg       0.53      0.57      0.54  12561431
weighted avg       0.93      0.88      0.90  12561431

Accuracy: 0.8825039121737006

              precision    recall  f1-score   support

           0       0.97      0.91      0.94  12053010
           1       0.10      0.23      0.14    508421

    accuracy                           0.88  12561431
   macro avg       0.53      0.57      0.54  12561431
weighted avg       0.93      0.88      0.90  12561431

Accuracy: 0.8825039121737006

1-10%

              precision    recall  f1-score   support

           0       0.84      0.66      0.74  25421477
           1       0.58      0.79      0.67  14975241

    accuracy                           0.71  40396718
   macro avg       0.71      0.72      0.70  40396718
weighted avg       0.74      0.71      0.71  40396718

Accuracy: 0.7066286919645304

              precision    recall  f1-score   support

           0       0.68      0.43      0.53  13368467
           1       0.61      0.81      0.69  14466820

    accuracy                           0.63  27835287
   macro avg       0.64      0.62      0.61  27835287
weighted avg       0.64      0.63      0.61  27835287

Accuracy: 0.6272601751869847

10-20%

              precision    recall  f1-score   support

           0       0.84      0.65      0.73  25924842
           1       0.62      0.82      0.71  18362515

    accuracy                           0.72  44287357
   macro avg       0.73      0.73      0.72  44287357
weighted avg       0.75      0.72      0.72  44287357

Accuracy: 0.7193548488341718

              precision    recall  f1-score   support

           0       0.20      0.05      0.08    503365
           1       0.87      0.97      0.92   3387274

    accuracy                           0.85   3890639
   macro avg       0.54      0.51      0.50   3890639
weighted avg       0.79      0.85      0.81   3890639

Accuracy: 0.851491233188173

20-40%

              precision    recall  f1-score   support

           0       0.84      0.64      0.73  26072330
           1       0.65      0.84      0.73  20332940

    accuracy                           0.73  46405270
   macro avg       0.74      0.74      0.73  46405270
weighted avg       0.75      0.73      0.73  46405270

Accuracy: 0.7281251461310321

              precision    recall  f1-score   support

           0       0.12      0.04      0.06    147488
           1       0.93      0.98      0.95   1970425

    accuracy                           0.91   2117913
   macro avg       0.53      0.51      0.51   2117913
weighted avg       0.88      0.91      0.89   2117913

Accuracy: 0.9115195005649429

40-80%

              precision    recall  f1-score   support

           0       0.83      0.64      0.73  26113946
           1       0.66      0.84      0.74  21397219

    accuracy                           0.73  47511165
   macro avg       0.75      0.74      0.73  47511165
weighted avg       0.76      0.73      0.73  47511165

Accuracy: 0.7331112802643337

              precision    recall  f1-score   support

           0       0.07      0.05      0.06     41616
           1       0.96      0.98      0.97   1064279

    accuracy                           0.94   1105895
   macro avg       0.52      0.51      0.51   1105895
weighted avg       0.93      0.94      0.94   1105895

Accuracy: 0.9423381062397425

80-90%

              precision    recall  f1-score   support

           0       0.06      0.06      0.06      3093
           1       0.98      0.98      0.98    120943

    accuracy                           0.95    124036
   macro avg       0.52      0.52      0.52    124036
weighted avg       0.95      0.95      0.95    124036

Accuracy: 0.9538601696281724

90-100%

              precision    recall  f1-score   support

           0       0.06      0.06      0.06      2328
           1       0.98      0.98      0.98     97067

    accuracy                           0.96     99395
   macro avg       0.52      0.52      0.52     99395
weighted avg       0.96      0.96      0.96     99395

Accuracy: 0.9559233361839127

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.83      0.65      0.73  24893266
           1       0.66      0.85      0.74  20563095

    accuracy                           0.74  45456361
   macro avg       0.75      0.75      0.74  45456361
weighted avg       0.76      0.74      0.74  45456361

Accuracy: 0.7366780416056622

              precision    recall  f1-score   support

           0       0.83      0.65      0.73  24893266
           1       0.66      0.85      0.74  20563095

    accuracy                           0.74  45456361
   macro avg       0.75      0.75      0.74  45456361
weighted avg       0.76      0.74      0.74  45456361

Accuracy: 0.7366780416056622

0-1%

              precision    recall  f1-score   support

           0       1.00      0.98      0.99   4873589
           1       0.01      0.11      0.01      3872

    accuracy                           0.98   4877461
   macro avg       0.50      0.55      0.50   4877461
weighted avg       1.00      0.98      0.99   4877461

Accuracy: 0.9834707033023944

              precision    recall  f1-score   support

           0       1.00      0.98      0.99   4873589
           1       0.01      0.11      0.01      3872

    accuracy                           0.98   4877461
   macro avg       0.50      0.55      0.50   4877461
weighted avg       1.00      0.98      0.99   4877461

Accuracy: 0.9834707033023944

1-10%

              precision    recall  f1-score   support

           0       0.86      0.72      0.79  21822692
           1       0.48      0.69      0.56   8020644

    accuracy                           0.71  29843336
   macro avg       0.67      0.70      0.67  29843336
weighted avg       0.76      0.71      0.73  29843336

Accuracy: 0.7124767820862923

              precision    recall  f1-score   support

           0       0.81      0.65      0.72  16949103
           1       0.48      0.69      0.56   8016772

    accuracy                           0.66  24965875
   macro avg       0.65      0.67      0.64  24965875
weighted avg       0.71      0.66      0.67  24965875

Accuracy: 0.6595340239426818

10-20%

              precision    recall  f1-score   support

           0       0.85      0.67      0.75  23880186
           1       0.57      0.79      0.66  13481800

    accuracy                           0.71  37361986
   macro avg       0.71      0.73      0.71  37361986
weighted avg       0.75      0.71      0.72  37361986

Accuracy: 0.712518065822304

              precision    recall  f1-score   support

           0       0.42      0.13      0.19   2057494
           1       0.74      0.93      0.83   5461156

    accuracy                           0.71   7518650
   macro avg       0.58      0.53      0.51   7518650
weighted avg       0.65      0.71      0.65   7518650

Accuracy: 0.7126819309317497

20-40%

              precision    recall  f1-score   support

           0       0.84      0.65      0.73  24625160
           1       0.63      0.83      0.71  17542339

    accuracy                           0.72  42167499
   macro avg       0.73      0.74      0.72  42167499
weighted avg       0.75      0.72      0.73  42167499

Accuracy: 0.7247401606625994

              precision    recall  f1-score   support

           0       0.25      0.08      0.13    744974
           1       0.85      0.95      0.90   4060539

    accuracy                           0.82   4805513
   macro avg       0.55      0.52      0.51   4805513
weighted avg       0.76      0.82      0.78   4805513

Accuracy: 0.8197647160667342

40-80%

              precision    recall  f1-score   support

           0       0.84      0.65      0.73  24861069
           1       0.66      0.84      0.74  20026114

    accuracy                           0.73  44887183
   macro avg       0.75      0.74      0.73  44887183
weighted avg       0.76      0.73      0.73  44887183

Accuracy: 0.7344333904847626

              precision    recall  f1-score   support

           0       0.16      0.08      0.10    235909
           1       0.92      0.96      0.94   2483775

    accuracy                           0.88   2719684
   macro avg       0.54      0.52      0.52   2719684
weighted avg       0.85      0.88      0.87   2719684

Accuracy: 0.8847226368945804

80-90%

              precision    recall  f1-score   support

           0       0.12      0.08      0.09     18577
           1       0.94      0.96      0.95    296772

    accuracy                           0.91    315349
   macro avg       0.53      0.52      0.52    315349
weighted avg       0.89      0.91      0.90    315349

Accuracy: 0.9116280692185483

90-100%

              precision    recall  f1-score   support

           0       0.10      0.07      0.09     13620
           1       0.95      0.96      0.96    240209

    accuracy                           0.92    253829
   macro avg       0.53      0.52      0.52    253829
weighted avg       0.90      0.92      0.91    253829

Accuracy: 0.9162704025150791

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.85      0.66      0.74  22531902
           1       0.65      0.84      0.73  16938696

    accuracy                           0.74  39470598
   macro avg       0.75      0.75      0.74  39470598
weighted avg       0.76      0.74      0.74  39470598

Accuracy: 0.738061632610684

              precision    recall  f1-score   support

           0       0.85      0.66      0.74  22531902
           1       0.65      0.84      0.73  16938696

    accuracy                           0.74  39470598
   macro avg       0.75      0.75      0.74  39470598
weighted avg       0.76      0.74      0.74  39470598

Accuracy: 0.7380616072753698

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999987096765869

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999987096765869

1-10%

              precision    recall  f1-score   support

           0       0.94      0.89      0.91  12989887
           1       0.27      0.42      0.33   1271288

    accuracy                           0.85  14261175
   macro avg       0.61      0.65      0.62  14261175
weighted avg       0.88      0.85      0.86  14261175

Accuracy: 0.848070232642121

              precision    recall  f1-score   support

           0       0.93      0.88      0.90  11439888
           1       0.27      0.42      0.33   1271288

    accuracy                           0.83  12711176
   macro avg       0.60      0.65      0.62  12711176
weighted avg       0.87      0.83      0.85  12711176

Accuracy: 0.829544095683987

10-20%

              precision    recall  f1-score   support

           0       0.89      0.77      0.83  18034328
           1       0.46      0.68      0.54   5083660

    accuracy                           0.75  23117988
   macro avg       0.68      0.72      0.69  23117988
weighted avg       0.80      0.75      0.77  23117988

Accuracy: 0.751271780225857

              precision    recall  f1-score   support

           0       0.72      0.47      0.57   5044441
           1       0.52      0.76      0.62   3812372

    accuracy                           0.60   8856813
   macro avg       0.62      0.62      0.59   8856813
weighted avg       0.64      0.60      0.59   8856813

Accuracy: 0.5954075128378571

20-40%

              precision    recall  f1-score   support

           0       0.55      0.23      0.33   2995598
           1       0.69      0.90      0.78   5583215

    accuracy                           0.67   8578813
   macro avg       0.62      0.57      0.55   8578813
weighted avg       0.64      0.67      0.62   8578813

Accuracy: 0.6660275728122294

40-80%

              precision    recall  f1-score   support

           0       0.36      0.17      0.23   1295061
           1       0.81      0.92      0.86   5001564

    accuracy                           0.77   6296625
   macro avg       0.59      0.55      0.55   6296625
weighted avg       0.72      0.77      0.73   6296625

Accuracy: 0.7680190578285987

              precision    recall  f1-score   support

           0       0.85      0.66      0.75  22324987
           1       0.64      0.83      0.72  15668439

    accuracy                           0.73  37993426
   macro avg       0.74      0.75      0.73  37993426
weighted avg       0.76      0.73      0.74  37993426

Accuracy: 0.7347993834512317

80-90%

              precision    recall  f1-score   support

           0       0.28      0.16      0.20    117971
           1       0.87      0.93      0.90    692761

    accuracy                           0.82    810732
   macro avg       0.57      0.54      0.55    810732
weighted avg       0.78      0.82      0.80    810732

Accuracy: 0.8174316543568034

90-100%

              precision    recall  f1-score   support

           0       0.26      0.15      0.19     88944
           1       0.88      0.93      0.90    577496

    accuracy                           0.83    666440
   macro avg       0.57      0.54      0.55    666440
weighted avg       0.79      0.83      0.81    666440

Accuracy: 0.8274863453574215

LR_7_decay_rtime

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28055468
           1       0.68      0.87      0.76  21729815

    accuracy                           0.77  49785283
   macro avg       0.78      0.78      0.77  49785283
weighted avg       0.79      0.77      0.77  49785283

Accuracy: 0.7663399844488179

              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28055468
           1       0.68      0.87      0.76  21729815

    accuracy                           0.77  49785283
   macro avg       0.78      0.78      0.77  49785283
weighted avg       0.79      0.77      0.77  49785283

Accuracy: 0.7663399643625607

0-1%

              precision    recall  f1-score   support

           0       0.87      0.69      0.77  27764588
           1       0.63      0.83      0.72  17098553

    accuracy                           0.75  44863141
   macro avg       0.75      0.76      0.74  44863141
weighted avg       0.78      0.75      0.75  44863141

Accuracy: 0.7471877637814079

              precision    recall  f1-score   support

           0       0.87      0.69      0.77  27764588
           1       0.63      0.83      0.72  17098553

    accuracy                           0.75  44863141
   macro avg       0.75      0.76      0.74  44863141
weighted avg       0.78      0.75      0.75  44863141

Accuracy: 0.7471877860714211

1-10%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.47      0.50      0.48   4452351
weighted avg       0.87      0.94      0.90   4452351

Accuracy: 0.9354129986607076

              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28052152
           1       0.68      0.87      0.76  21263340

    accuracy                           0.76  49315492
   macro avg       0.77      0.78      0.76  49315492
weighted avg       0.79      0.76      0.76  49315492

Accuracy: 0.7641813246028246

10-20%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935

              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28054607
           1       0.68      0.87      0.76  21520956

    accuracy                           0.77  49575563
   macro avg       0.78      0.78      0.77  49575563
weighted avg       0.79      0.77      0.77  49575563

Accuracy: 0.765368897575606

20-40%

              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28055266
           1       0.68      0.87      0.76  21651524

    accuracy                           0.77  49706790
   macro avg       0.78      0.78      0.77  49706790
weighted avg       0.79      0.77      0.77  49706790

Accuracy: 0.7659750710114251

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347

              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28055435
           1       0.68      0.87      0.76  21716758

    accuracy                           0.77  49772193
   macro avg       0.78      0.78      0.77  49772193
weighted avg       0.79      0.77      0.77  49772193

Accuracy: 0.7662791952928415

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.85      0.64      0.73  26119367
           1       0.66      0.87      0.75  21615229

    accuracy                           0.74  47734596
   macro avg       0.76      0.75      0.74  47734596
weighted avg       0.77      0.74      0.74  47734596

Accuracy: 0.7410423668401844

              precision    recall  f1-score   support

           0       0.85      0.64      0.73  26119367
           1       0.66      0.87      0.75  21615229

    accuracy                           0.74  47734596
   macro avg       0.76      0.75      0.74  47734596
weighted avg       0.77      0.74      0.74  47734596

Accuracy: 0.7410423668401844

0-1%

              precision    recall  f1-score   support

           0       0.97      0.95      0.96  12053010
           1       0.19      0.26      0.22    508421

    accuracy                           0.93  12561431
   macro avg       0.58      0.61      0.59  12561431
weighted avg       0.94      0.93      0.93  12561431

Accuracy: 0.9262818065871635

              precision    recall  f1-score   support

           0       0.97      0.95      0.96  12053010
           1       0.19      0.26      0.22    508421

    accuracy                           0.93  12561431
   macro avg       0.58      0.61      0.59  12561431
weighted avg       0.94      0.93      0.93  12561431

Accuracy: 0.9262818065871635

1-10%

              precision    recall  f1-score   support

           0       0.86      0.65      0.74  25421477
           1       0.58      0.82      0.68  14975241

    accuracy                           0.71  40396718
   macro avg       0.72      0.73      0.71  40396718
weighted avg       0.76      0.71      0.72  40396718

Accuracy: 0.7132848019980237

              precision    recall  f1-score   support

           0       0.68      0.38      0.49  13368467
           1       0.59      0.84      0.69  14466820

    accuracy                           0.62  27835287
   macro avg       0.64      0.61      0.59  27835287
weighted avg       0.64      0.62      0.60  27835287

Accuracy: 0.6171641054033321

10-20%

              precision    recall  f1-score   support

           0       0.85      0.64      0.73  25924842
           1       0.63      0.85      0.72  18362515

    accuracy                           0.73  44287357
   macro avg       0.74      0.74      0.73  44287357
weighted avg       0.76      0.73      0.73  44287357

Accuracy: 0.7257807007991016

              precision    recall  f1-score   support

           0       0.17      0.03      0.05    503365
           1       0.87      0.98      0.92   3387274

    accuracy                           0.86   3890639
   macro avg       0.52      0.50      0.49   3890639
weighted avg       0.78      0.86      0.81   3890639

Accuracy: 0.855526303005753

20-40%

              precision    recall  f1-score   support

           0       0.09      0.01      0.02    147488
           1       0.93      0.99      0.96   1970425

    accuracy                           0.92   2117913
   macro avg       0.51      0.50      0.49   2117913
weighted avg       0.87      0.92      0.89   2117913

Accuracy: 0.9222607349782546

40-80%

              precision    recall  f1-score   support

           0       0.85      0.64      0.73  26113946
           1       0.66      0.87      0.75  21397219

    accuracy                           0.74  47511165
   macro avg       0.76      0.75      0.74  47511165
weighted avg       0.77      0.74      0.74  47511165

Accuracy: 0.7399509146955248

              precision    recall  f1-score   support

           0       0.05      0.01      0.01     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.51      0.50      0.50   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9582763282228421

80-90%

              precision    recall  f1-score   support

           0       0.03      0.00      0.01      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.97    124036
   macro avg       0.50      0.50      0.50    124036
weighted avg       0.95      0.97      0.96    124036

Accuracy: 0.9721774323583475

90-100%

              precision    recall  f1-score   support

           0       0.02      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.97     99395
   macro avg       0.50      0.50      0.50     99395
weighted avg       0.95      0.97      0.96     99395

Accuracy: 0.974324664218522

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.81      0.54      0.65  24893266
           1       0.60      0.84      0.70  20563095

    accuracy                           0.68  45456361
   macro avg       0.71      0.69      0.68  45456361
weighted avg       0.72      0.68      0.68  45456361

Accuracy: 0.6798656188074536

              precision    recall  f1-score   support

           0       0.81      0.54      0.65  24893266
           1       0.60      0.84      0.70  20563095

    accuracy                           0.68  45456361
   macro avg       0.71      0.69      0.68  45456361
weighted avg       0.72      0.68      0.68  45456361

Accuracy: 0.6798656188074536

0-1%

              precision    recall  f1-score   support

           0       1.00      0.97      0.98   4873589
           1       0.02      0.65      0.03      3872

    accuracy                           0.97   4877461
   macro avg       0.51      0.81      0.51   4877461
weighted avg       1.00      0.97      0.98   4877461

Accuracy: 0.9682488491450777

              precision    recall  f1-score   support

           0       1.00      0.97      0.98   4873589
           1       0.02      0.65      0.03      3872

    accuracy                           0.97   4877461
   macro avg       0.51      0.81      0.51   4877461
weighted avg       1.00      0.97      0.98   4877461

Accuracy: 0.9682488491450777

1-10%

              precision    recall  f1-score   support

           0       0.90      0.59      0.71  21822692
           1       0.42      0.82      0.56   8020644

    accuracy                           0.65  29843336
   macro avg       0.66      0.70      0.63  29843336
weighted avg       0.77      0.65      0.67  29843336

Accuracy: 0.6505325342984444

              precision    recall  f1-score   support

           0       0.85      0.48      0.61  16949103
           1       0.43      0.82      0.56   8016772

    accuracy                           0.59  24965875
   macro avg       0.64      0.65      0.59  24965875
weighted avg       0.71      0.59      0.60  24965875

Accuracy: 0.5884618504258312

10-20%

              precision    recall  f1-score   support

           0       0.86      0.56      0.68  23880186
           1       0.52      0.84      0.64  13481800

    accuracy                           0.66  37361986
   macro avg       0.69      0.70      0.66  37361986
weighted avg       0.73      0.66      0.66  37361986

Accuracy: 0.6582472891028865

              precision    recall  f1-score   support

           0       0.39      0.25      0.30   2057494
           1       0.75      0.86      0.80   5461156

    accuracy                           0.69   7518650
   macro avg       0.57      0.55      0.55   7518650
weighted avg       0.65      0.69      0.66   7518650

Accuracy: 0.688868879386592

20-40%

              precision    recall  f1-score   support

           0       0.83      0.55      0.66  24625160
           1       0.57      0.84      0.68  17542339

    accuracy                           0.67  42167499
   macro avg       0.70      0.69      0.67  42167499
weighted avg       0.72      0.67      0.67  42167499

Accuracy: 0.6699577558536256

              precision    recall  f1-score   support

           0       0.23      0.22      0.23    744974
           1       0.86      0.86      0.86   4060539

    accuracy                           0.76   4805513
   macro avg       0.54      0.54      0.54   4805513
weighted avg       0.76      0.76      0.76   4805513

Accuracy: 0.7610044962941521

40-80%

              precision    recall  f1-score   support

           0       0.81      0.54      0.65  24861069
           1       0.60      0.84      0.70  20026114

    accuracy                           0.68  44887183
   macro avg       0.71      0.69      0.68  44887183
weighted avg       0.72      0.68      0.67  44887183

Accuracy: 0.6780667657402337

              precision    recall  f1-score   support

           0       0.13      0.22      0.16    235909
           1       0.92      0.86      0.89   2483775

    accuracy                           0.80   2719684
   macro avg       0.52      0.54      0.53   2719684
weighted avg       0.85      0.80      0.83   2719684

Accuracy: 0.8037933818781888

80-90%

              precision    recall  f1-score   support

           0       0.09      0.22      0.12     18577
           1       0.95      0.86      0.90    296772

    accuracy                           0.82    315349
   macro avg       0.52      0.54      0.51    315349
weighted avg       0.90      0.82      0.85    315349

Accuracy: 0.8199169808688151

90-100%

              precision    recall  f1-score   support

           0       0.08      0.22      0.12     13620
           1       0.95      0.86      0.90    240209

    accuracy                           0.82    253829
   macro avg       0.52      0.54      0.51    253829
weighted avg       0.90      0.82      0.86    253829

Accuracy: 0.8239838631519645

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.80      0.63      0.70  22531902
           1       0.61      0.79      0.69  16938696

    accuracy                           0.70  39470598
   macro avg       0.70      0.71      0.69  39470598
weighted avg       0.72      0.70      0.70  39470598

Accuracy: 0.6950249144945815

              precision    recall  f1-score   support

           0       0.80      0.63      0.70  22531902
           1       0.61      0.79      0.69  16938696

    accuracy                           0.70  39470598
   macro avg       0.70      0.71      0.69  39470598
weighted avg       0.72      0.70      0.70  39470598

Accuracy: 0.6950248891592674

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9992825801823098

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9992825801823098

1-10%

              precision    recall  f1-score   support

           0       0.97      0.76      0.85  12989887
           1       0.24      0.76      0.36   1271288

    accuracy                           0.76  14261175
   macro avg       0.60      0.76      0.61  14261175
weighted avg       0.90      0.76      0.81  14261175

Accuracy: 0.758223778896199

              precision    recall  f1-score   support

           0       0.96      0.73      0.83  11439888
           1       0.24      0.76      0.36   1271288

    accuracy                           0.73  12711176
   macro avg       0.60      0.74      0.59  12711176
weighted avg       0.89      0.73      0.78  12711176

Accuracy: 0.7288291028304541

10-20%

              precision    recall  f1-score   support

           0       0.92      0.68      0.78  18034328
           1       0.41      0.78      0.53   5083660

    accuracy                           0.70  23117988
   macro avg       0.66      0.73      0.66  23117988
weighted avg       0.80      0.70      0.73  23117988

Accuracy: 0.7012975350623073

              precision    recall  f1-score   support

           0       0.75      0.48      0.58   5044441
           1       0.53      0.78      0.63   3812372

    accuracy                           0.61   8856813
   macro avg       0.64      0.63      0.61   8856813
weighted avg       0.65      0.61      0.60   8856813

Accuracy: 0.6096352039949359

20-40%

              precision    recall  f1-score   support

           0       0.52      0.42      0.47   2995598
           1       0.72      0.79      0.75   5583215

    accuracy                           0.66   8578813
   macro avg       0.62      0.61      0.61   8578813
weighted avg       0.65      0.66      0.65   8578813

Accuracy: 0.6628511426930509

              precision    recall  f1-score   support

           0       0.86      0.64      0.73  21029926
           1       0.53      0.79      0.63  10666875

    accuracy                           0.69  31696801
   macro avg       0.69      0.71      0.68  31696801
weighted avg       0.74      0.69      0.70  31696801

Accuracy: 0.6908919294410815

40-80%

              precision    recall  f1-score   support

           0       0.33      0.41      0.36   1295061
           1       0.84      0.79      0.81   5001564

    accuracy                           0.71   6296625
   macro avg       0.58      0.60      0.59   6296625
weighted avg       0.73      0.71      0.72   6296625

Accuracy: 0.7080108788438251

              precision    recall  f1-score   support

           0       0.81      0.63      0.71  22324987
           1       0.60      0.79      0.68  15668439

    accuracy                           0.69  37993426
   macro avg       0.70      0.71      0.69  37993426
weighted avg       0.72      0.69      0.70  37993426

Accuracy: 0.6937290414399586

80-90%

              precision    recall  f1-score   support

           0       0.24      0.40      0.30    117971
           1       0.88      0.78      0.83    692761

    accuracy                           0.73    810732
   macro avg       0.56      0.59      0.56    810732
weighted avg       0.79      0.73      0.75    810732

Accuracy: 0.726632228652625

90-100%

              precision    recall  f1-score   support

           0       0.22      0.40      0.28     88944
           1       0.89      0.78      0.83    577496

    accuracy                           0.73    666440
   macro avg       0.56      0.59      0.56    666440
weighted avg       0.80      0.73      0.76    666440

Accuracy: 0.7304513534601764

LR_7_decay_rtime_w_0_5

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.75      0.87      0.81  28055468
           1       0.79      0.64      0.70  21729815

    accuracy                           0.77  49785283
   macro avg       0.77      0.75      0.75  49785283
weighted avg       0.77      0.77      0.76  49785283

Accuracy: 0.7658346343034748

              precision    recall  f1-score   support

           0       0.75      0.87      0.81  28055468
           1       0.79      0.64      0.70  21729815

    accuracy                           0.77  49785283
   macro avg       0.77      0.75      0.75  49785283
weighted avg       0.77      0.77      0.76  49785283

Accuracy: 0.7658346142172175

0-1%

              precision    recall  f1-score   support

           0       0.75      0.88      0.81  27764588
           1       0.73      0.54      0.62  17098553

    accuracy                           0.75  44863141
   macro avg       0.74      0.71      0.71  44863141
weighted avg       0.74      0.75      0.74  44863141

Accuracy: 0.7467056753783691

              precision    recall  f1-score   support

           0       0.75      0.88      0.81  27764588
           1       0.73      0.54      0.62  17098553

    accuracy                           0.75  44863141
   macro avg       0.74      0.71      0.71  44863141
weighted avg       0.74      0.75      0.74  44863141

Accuracy: 0.7467056976683821

1-10%

              precision    recall  f1-score   support

           0       0.11      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.93   4452351
   macro avg       0.52      0.50      0.48   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.9346199345020193

              precision    recall  f1-score   support

           0       0.75      0.87      0.81  28052152
           1       0.78      0.63      0.70  21263340

    accuracy                           0.76  49315492
   macro avg       0.77      0.75      0.75  49315492
weighted avg       0.77      0.76      0.76  49315492

Accuracy: 0.7636711603728905

10-20%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935

              precision    recall  f1-score   support

           0       0.75      0.87      0.81  28054607
           1       0.78      0.63      0.70  21520956

    accuracy                           0.76  49575563
   macro avg       0.77      0.75      0.75  49575563
weighted avg       0.77      0.76      0.76  49575563

Accuracy: 0.7648614096424886

20-40%

              precision    recall  f1-score   support

           0       0.75      0.87      0.81  28055266
           1       0.79      0.63      0.70  21651524

    accuracy                           0.77  49706790
   macro avg       0.77      0.75      0.75  49706790
weighted avg       0.77      0.77      0.76  49706790

Accuracy: 0.7654689228574205

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347

              precision    recall  f1-score   support

           0       0.75      0.87      0.81  28055435
           1       0.79      0.64      0.70  21716758

    accuracy                           0.77  49772193
   macro avg       0.77      0.75      0.75  49772193
weighted avg       0.77      0.77      0.76  49772193

Accuracy: 0.765773712241291

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.68      0.85      0.76  26119367
           1       0.74      0.53      0.61  21615229

    accuracy                           0.70  47734596
   macro avg       0.71      0.69      0.69  47734596
weighted avg       0.71      0.70      0.69  47734596

Accuracy: 0.7008368312156659

              precision    recall  f1-score   support

           0       0.68      0.85      0.76  26119367
           1       0.74      0.53      0.61  21615229

    accuracy                           0.70  47734596
   macro avg       0.71      0.69      0.69  47734596
weighted avg       0.71      0.70      0.69  47734596

Accuracy: 0.7008368312156659

0-1%

              precision    recall  f1-score   support

           0       0.96      0.99      0.98  12053010
           1       0.25      0.05      0.08    508421

    accuracy                           0.96  12561431
   macro avg       0.60      0.52      0.53  12561431
weighted avg       0.93      0.96      0.94  12561431

Accuracy: 0.9552677557198698

              precision    recall  f1-score   support

           0       0.96      0.99      0.98  12053010
           1       0.25      0.05      0.08    508421

    accuracy                           0.96  12561431
   macro avg       0.60      0.52      0.53  12561431
weighted avg       0.93      0.96      0.94  12561431

Accuracy: 0.9552677557198698

1-10%

              precision    recall  f1-score   support

           0       0.73      0.86      0.79  25421477
           1       0.65      0.45      0.53  14975241

    accuracy                           0.71  40396718
   macro avg       0.69      0.65      0.66  40396718
weighted avg       0.70      0.71      0.69  40396718

Accuracy: 0.7063740920735194

              precision    recall  f1-score   support

           0       0.56      0.74      0.64  13368467
           1       0.66      0.46      0.54  14466820

    accuracy                           0.59  27835287
   macro avg       0.61      0.60      0.59  27835287
weighted avg       0.61      0.59      0.59  27835287

Accuracy: 0.5940540508887154

10-20%

              precision    recall  f1-score   support

           0       0.70      0.85      0.77  25924842
           1       0.70      0.49      0.58  18362515

    accuracy                           0.70  44287357
   macro avg       0.70      0.67      0.67  44287357
weighted avg       0.70      0.70      0.69  44287357

Accuracy: 0.7007614611095442

              precision    recall  f1-score   support

           0       0.15      0.38      0.21    503365
           1       0.88      0.68      0.77   3387274

    accuracy                           0.64   3890639
   macro avg       0.51      0.53      0.49   3890639
weighted avg       0.79      0.64      0.70   3890639

Accuracy: 0.6424852061576517

20-40%

              precision    recall  f1-score   support

           0       0.69      0.85      0.76  26072330
           1       0.72      0.51      0.60  20332940

    accuracy                           0.70  46405270
   macro avg       0.71      0.68      0.68  46405270
weighted avg       0.70      0.70      0.69  46405270

Accuracy: 0.7002901825590068

              precision    recall  f1-score   support

           0       0.08      0.34      0.13    147488
           1       0.94      0.72      0.81   1970425

    accuracy                           0.69   2117913
   macro avg       0.51      0.53      0.47   2117913
weighted avg       0.88      0.69      0.76   2117913

Accuracy: 0.6904353483830544

40-80%

              precision    recall  f1-score   support

           0       0.68      0.85      0.76  26113946
           1       0.74      0.52      0.61  21397219

    accuracy                           0.70  47511165
   macro avg       0.71      0.68      0.68  47511165
weighted avg       0.71      0.70      0.69  47511165

Accuracy: 0.7007034662273594

              precision    recall  f1-score   support

           0       0.04      0.32      0.08     41616
           1       0.97      0.73      0.83   1064279

    accuracy                           0.72   1105895
   macro avg       0.50      0.53      0.46   1105895
weighted avg       0.93      0.72      0.81   1105895

Accuracy: 0.7180455649044439

80-90%

              precision    recall  f1-score   support

           0       0.03      0.32      0.05      3093
           1       0.98      0.74      0.84    120943

    accuracy                           0.73    124036
   macro avg       0.50      0.53      0.45    124036
weighted avg       0.95      0.73      0.82    124036

Accuracy: 0.7281192556999581

90-100%

              precision    recall  f1-score   support

           0       0.03      0.30      0.05      2328
           1       0.98      0.74      0.84     97067

    accuracy                           0.73     99395
   macro avg       0.50      0.52      0.45     99395
weighted avg       0.96      0.73      0.82     99395

Accuracy: 0.7305397655817697

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.07      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.31      0.50      0.35  45456361
weighted avg       0.33      0.55      0.39  45456361

Accuracy: 0.547626502702229

              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.07      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.31      0.50      0.35  45456361
weighted avg       0.33      0.55      0.39  45456361

Accuracy: 0.547626502702229

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992059393196583

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992059393196583

1-10%

              precision    recall  f1-score   support

           0       0.73      1.00      0.84  21822692
           1       0.09      0.00      0.00   8020644

    accuracy                           0.73  29843336
   macro avg       0.41      0.50      0.42  29843336
weighted avg       0.56      0.73      0.62  29843336

Accuracy: 0.7312390947178291

              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.09      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.38      0.50      0.40  24965875
weighted avg       0.49      0.68      0.55  24965875

Accuracy: 0.6788877217401753

10-20%

              precision    recall  f1-score   support

           0       0.64      1.00      0.78  23880186
           1       0.09      0.00      0.00  13481800

    accuracy                           0.64  37361986
   macro avg       0.36      0.50      0.39  37361986
weighted avg       0.44      0.64      0.50  37361986

Accuracy: 0.6391545138954873

              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.09      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.18      0.50      0.21   7518650
weighted avg       0.14      0.27      0.12   7518650

Accuracy: 0.2736485938300094

20-40%

              precision    recall  f1-score   support

           0       0.58      1.00      0.74  24625160
           1       0.08      0.00      0.00  17542339

    accuracy                           0.58  42167499
   macro avg       0.33      0.50      0.37  42167499
weighted avg       0.37      0.58      0.43  42167499

Accuracy: 0.5839812078966314

              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.03      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.09      0.50      0.13   4805513
weighted avg       0.05      0.16      0.04   4805513

Accuracy: 0.15501882941529863

40-80%

              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24861069
           1       0.07      0.00      0.00  20026114

    accuracy                           0.55  44887183
   macro avg       0.31      0.50      0.36  44887183
weighted avg       0.34      0.55      0.39  44887183

Accuracy: 0.5538534017605872

              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08673507657507269

80-90%

              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.058899822101861746

90-100%

              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05363847314530649

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.66      0.93      0.77  22531902
           1       0.79      0.36      0.49  16938696

    accuracy                           0.68  39470598
   macro avg       0.72      0.64      0.63  39470598
weighted avg       0.71      0.68      0.65  39470598

Accuracy: 0.683587616280858

              precision    recall  f1-score   support

           0       0.66      0.93      0.77  22531902
           1       0.79      0.36      0.49  16938696

    accuracy                           0.68  39470598
   macro avg       0.72      0.64      0.63  39470598
weighted avg       0.71      0.68      0.65  39470598

Accuracy: 0.683587616280858

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0

1-10%

              precision    recall  f1-score   support

           0       0.94      0.97      0.95  12989887
           1       0.55      0.32      0.40   1271288

    accuracy                           0.92  14261175
   macro avg       0.74      0.65      0.68  14261175
weighted avg       0.90      0.92      0.91  14261175

Accuracy: 0.9159722813863515

              precision    recall  f1-score   support

           0       0.93      0.97      0.95  11439888
           1       0.55      0.32      0.40   1271288

    accuracy                           0.91  12711176
   macro avg       0.74      0.64      0.68  12711176
weighted avg       0.89      0.91      0.89  12711176

Accuracy: 0.9057259532870916

10-20%

              precision    recall  f1-score   support

           0       0.84      0.95      0.89  18034328
           1       0.66      0.34      0.45   5083660

    accuracy                           0.82  23117988
   macro avg       0.75      0.65      0.67  23117988
weighted avg       0.80      0.82      0.79  23117988

Accuracy: 0.8174503334805779

              precision    recall  f1-score   support

           0       0.65      0.89      0.75   5044441
           1       0.71      0.35      0.47   3812372

    accuracy                           0.66   8856813
   macro avg       0.68      0.62      0.61   8856813
weighted avg       0.67      0.66      0.63   8856813

Accuracy: 0.6588110192684434

20-40%

              precision    recall  f1-score   support

           0       0.42      0.84      0.56   2995598
           1       0.81      0.37      0.51   5583215

    accuracy                           0.53   8578813
   macro avg       0.61      0.60      0.53   8578813
weighted avg       0.67      0.53      0.52   8578813

Accuracy: 0.5331026565097059

40-80%

              precision    recall  f1-score   support

           0       0.25      0.80      0.38   1295061
           1       0.88      0.37      0.52   5001564

    accuracy                           0.46   6296625
   macro avg       0.56      0.59      0.45   6296625
weighted avg       0.75      0.46      0.49   6296625

Accuracy: 0.4581060488753896

              precision    recall  f1-score   support

           0       0.67      0.93      0.78  22324987
           1       0.78      0.36      0.49  15668439

    accuracy                           0.69  37993426
   macro avg       0.73      0.64      0.64  37993426
weighted avg       0.72      0.69      0.66  37993426

Accuracy: 0.6936915086309932

80-90%

              precision    recall  f1-score   support

           0       0.18      0.79      0.29    117971
           1       0.91      0.36      0.52    692761

    accuracy                           0.43    810732
   macro avg       0.54      0.58      0.40    810732
weighted avg       0.80      0.43      0.49    810732

Accuracy: 0.4262259291603144

90-100%

              precision    recall  f1-score   support

           0       0.16      0.79      0.27     88944
           1       0.92      0.36      0.52    577496

    accuracy                           0.42    666440
   macro avg       0.54      0.58      0.39    666440
weighted avg       0.82      0.42      0.49    666440

Accuracy: 0.42065302202748933

LR_7_decay_rtime_w_0_75

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.81      0.79      0.80  28055468
           1       0.74      0.76      0.75  21729815

    accuracy                           0.78  49785283
   macro avg       0.77      0.78      0.77  49785283
weighted avg       0.78      0.78      0.78  49785283

Accuracy: 0.7775125030423148

              precision    recall  f1-score   support

           0       0.81      0.79      0.80  28055468
           1       0.74      0.76      0.75  21729815

    accuracy                           0.78  49785283
   macro avg       0.77      0.78      0.77  49785283
weighted avg       0.78      0.78      0.78  49785283

Accuracy: 0.777512523128572

0-1%

              precision    recall  f1-score   support

           0       0.81      0.80      0.80  27764588
           1       0.68      0.70      0.69  17098553

    accuracy                           0.76  44863141
   macro avg       0.75      0.75      0.75  44863141
weighted avg       0.76      0.76      0.76  44863141

Accuracy: 0.7595866504309183

              precision    recall  f1-score   support

           0       0.81      0.80      0.80  27764588
           1       0.68      0.70      0.69  17098553

    accuracy                           0.76  44863141
   macro avg       0.75      0.75      0.75  44863141
weighted avg       0.76      0.76      0.76  44863141

Accuracy: 0.7595866281409053

1-10%

              precision    recall  f1-score   support

           0       0.17      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.55      0.50      0.48   4452351
weighted avg       0.89      0.94      0.90   4452351

Accuracy: 0.9354076082501133

              precision    recall  f1-score   support

           0       0.81      0.79      0.80  28052152
           1       0.73      0.76      0.74  21263340

    accuracy                           0.78  49315492
   macro avg       0.77      0.77      0.77  49315492
weighted avg       0.78      0.78      0.78  49315492

Accuracy: 0.7754602752417029

10-20%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935

              precision    recall  f1-score   support

           0       0.81      0.79      0.80  28054607
           1       0.73      0.76      0.75  21520956

    accuracy                           0.78  49575563
   macro avg       0.77      0.77      0.77  49575563
weighted avg       0.78      0.78      0.78  49575563

Accuracy: 0.7765886793862533

20-40%

              precision    recall  f1-score   support

           0       0.81      0.79      0.80  28055266
           1       0.74      0.76      0.75  21651524

    accuracy                           0.78  49706790
   macro avg       0.77      0.78      0.77  49706790
weighted avg       0.78      0.78      0.78  49706790

Accuracy: 0.7771652323555795

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347

              precision    recall  f1-score   support

           0       0.81      0.79      0.80  28055435
           1       0.74      0.76      0.75  21716758

    accuracy                           0.78  49772193
   macro avg       0.77      0.78      0.77  49772193
weighted avg       0.78      0.78      0.78  49772193

Accuracy: 0.7774546522392534

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.79      0.73      0.76  26119367
           1       0.70      0.76      0.73  21615229

    accuracy                           0.75  47734596
   macro avg       0.75      0.75      0.75  47734596
weighted avg       0.75      0.75      0.75  47734596

Accuracy: 0.746851926849868

              precision    recall  f1-score   support

           0       0.79      0.73      0.76  26119367
           1       0.70      0.76      0.73  21615229

    accuracy                           0.75  47734596
   macro avg       0.75      0.75      0.75  47734596
weighted avg       0.75      0.75      0.75  47734596

Accuracy: 0.7468519059007015

0-1%

              precision    recall  f1-score   support

           0       0.96      0.98      0.97  12053010
           1       0.22      0.13      0.16    508421

    accuracy                           0.95  12561431
   macro avg       0.59      0.55      0.57  12561431
weighted avg       0.93      0.95      0.94  12561431

Accuracy: 0.9464397806269047

              precision    recall  f1-score   support

           0       0.96      0.98      0.97  12053010
           1       0.22      0.13      0.16    508421

    accuracy                           0.95  12561431
   macro avg       0.59      0.55      0.57  12561431
weighted avg       0.93      0.95      0.94  12561431

Accuracy: 0.9464397806269047

1-10%

              precision    recall  f1-score   support

           0       0.80      0.75      0.77  25421477
           1       0.62      0.68      0.65  14975241

    accuracy                           0.72  40396718
   macro avg       0.71      0.72      0.71  40396718
weighted avg       0.73      0.72      0.73  40396718

Accuracy: 0.7245034113909947

              precision    recall  f1-score   support

           0       0.63      0.54      0.58  13368467
           1       0.62      0.70      0.66  14466820

    accuracy                           0.62  27835287
   macro avg       0.62      0.62      0.62  27835287
weighted avg       0.62      0.62      0.62  27835287

Accuracy: 0.6243486190747737

10-20%

              precision    recall  f1-score   support

           0       0.16      0.08      0.11    503365
           1       0.87      0.93      0.90   3387274

    accuracy                           0.82   3890639
   macro avg       0.52      0.51      0.51   3890639
weighted avg       0.78      0.82      0.80   3890639

Accuracy: 0.8239335492190357

20-40%

              precision    recall  f1-score   support

           0       0.79      0.73      0.76  26072330
           1       0.69      0.75      0.72  20332940

    accuracy                           0.74  46405270
   macro avg       0.74      0.74      0.74  46405270
weighted avg       0.75      0.74      0.74  46405270

Accuracy: 0.7409957963826092

              precision    recall  f1-score   support

           0       0.10      0.05      0.06    147488
           1       0.93      0.97      0.95   1970425

    accuracy                           0.90   2117913
   macro avg       0.51      0.51      0.51   2117913
weighted avg       0.87      0.90      0.89   2117913

Accuracy: 0.9032108495485887

40-80%

              precision    recall  f1-score   support

           0       0.79      0.73      0.76  26113946
           1       0.70      0.76      0.73  21397219

    accuracy                           0.75  47511165
   macro avg       0.74      0.75      0.74  47511165
weighted avg       0.75      0.75      0.75  47511165

Accuracy: 0.745816988491021

              precision    recall  f1-score   support

           0       0.07      0.03      0.05     41616
           1       0.96      0.98      0.97   1064279

    accuracy                           0.95   1105895
   macro avg       0.52      0.51      0.51   1105895
weighted avg       0.93      0.95      0.94   1105895

Accuracy: 0.9481225613643248

80-90%

              precision    recall  f1-score   support

           0       0.08      0.03      0.05      3093
           1       0.98      0.99      0.98    120943

    accuracy                           0.97    124036
   macro avg       0.53      0.51      0.52    124036
weighted avg       0.95      0.97      0.96    124036

Accuracy: 0.9656631945564191

90-100%

              precision    recall  f1-score   support

           0       0.08      0.03      0.05      2328
           1       0.98      0.99      0.98     97067

    accuracy                           0.97     99395
   macro avg       0.53      0.51      0.52     99395
weighted avg       0.96      0.97      0.96     99395

Accuracy: 0.9684893606318226

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.75      0.67      0.71  24893266
           1       0.65      0.73      0.69  20563095

    accuracy                           0.70  45456361
   macro avg       0.70      0.70      0.70  45456361
weighted avg       0.71      0.70      0.70  45456361

Accuracy: 0.7002499166178304

              precision    recall  f1-score   support

           0       0.75      0.67      0.71  24893266
           1       0.65      0.73      0.69  20563095

    accuracy                           0.70  45456361
   macro avg       0.70      0.70      0.70  45456361
weighted avg       0.71      0.70      0.70  45456361

Accuracy: 0.7002499386169517

0-1%

              precision    recall  f1-score   support

           0       1.00      0.99      0.99   4873589
           1       0.04      0.52      0.07      3872

    accuracy                           0.99   4877461
   macro avg       0.52      0.75      0.53   4877461
weighted avg       1.00      0.99      0.99   4877461

Accuracy: 0.9884968839320294

              precision    recall  f1-score   support

           0       1.00      0.99      0.99   4873589
           1       0.04      0.52      0.07      3872

    accuracy                           0.99   4877461
   macro avg       0.52      0.75      0.53   4877461
weighted avg       1.00      0.99      0.99   4877461

Accuracy: 0.9884968839320294

1-10%

              precision    recall  f1-score   support

           0       0.87      0.71      0.78  21822692
           1       0.47      0.71      0.57   8020644

    accuracy                           0.71  29843336
   macro avg       0.67      0.71      0.68  29843336
weighted avg       0.76      0.71      0.73  29843336

Accuracy: 0.7109330203567055

              precision    recall  f1-score   support

           0       0.82      0.63      0.71  16949103
           1       0.48      0.71      0.57   8016772

    accuracy                           0.66  24965875
   macro avg       0.65      0.67      0.64  24965875
weighted avg       0.71      0.66      0.67  24965875

Accuracy: 0.6567067647338617

10-20%

              precision    recall  f1-score   support

           0       0.81      0.68      0.74  23880186
           1       0.56      0.72      0.63  13481800

    accuracy                           0.70  37361986
   macro avg       0.69      0.70      0.69  37361986
weighted avg       0.72      0.70      0.70  37361986

Accuracy: 0.6992318341963941

              precision    recall  f1-score   support

           0       0.37      0.39      0.38   2057494
           1       0.77      0.75      0.76   5461156

    accuracy                           0.65   7518650
   macro avg       0.57      0.57      0.57   7518650
weighted avg       0.66      0.65      0.66   7518650

Accuracy: 0.6527870029859084

20-40%

              precision    recall  f1-score   support

           0       0.78      0.68      0.72  24625160
           1       0.62      0.73      0.67  17542339

    accuracy                           0.70  42167499
   macro avg       0.70      0.70      0.70  42167499
weighted avg       0.71      0.70      0.70  42167499

Accuracy: 0.6987041370416586

              precision    recall  f1-score   support

           0       0.22      0.37      0.27    744974
           1       0.87      0.75      0.81   4060539

    accuracy                           0.69   4805513
   macro avg       0.54      0.56      0.54   4805513
weighted avg       0.77      0.69      0.72   4805513

Accuracy: 0.6946013880307889

40-80%

              precision    recall  f1-score   support

           0       0.76      0.67      0.71  24861069
           1       0.64      0.73      0.69  20026114

    accuracy                           0.70  44887183
   macro avg       0.70      0.70      0.70  44887183
weighted avg       0.71      0.70      0.70  44887183

Accuracy: 0.6998996573253439

              precision    recall  f1-score   support

           0       0.12      0.37      0.18    235909
           1       0.93      0.75      0.83   2483775

    accuracy                           0.72   2719684
   macro avg       0.52      0.56      0.51   2719684
weighted avg       0.86      0.72      0.77   2719684

Accuracy: 0.718435671202978

80-90%

              precision    recall  f1-score   support

           0       0.08      0.36      0.14     18577
           1       0.95      0.75      0.84    296772

    accuracy                           0.73    315349
   macro avg       0.52      0.56      0.49    315349
weighted avg       0.90      0.73      0.80    315349

Accuracy: 0.726541070369654

90-100%

              precision    recall  f1-score   support

           0       0.08      0.37      0.13     13620
           1       0.95      0.75      0.84    240209

    accuracy                           0.73    253829
   macro avg       0.52      0.56      0.48    253829
weighted avg       0.91      0.73      0.80    253829

Accuracy: 0.7295265710379822

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.72      0.82      0.77  22531902
           1       0.71      0.58      0.64  16938696

    accuracy                           0.72  39470598
   macro avg       0.71      0.70      0.70  39470598
weighted avg       0.72      0.72      0.71  39470598

Accuracy: 0.7167014292512113

              precision    recall  f1-score   support

           0       0.72      0.82      0.77  22531902
           1       0.71      0.58      0.64  16938696

    accuracy                           0.72  39470598
   macro avg       0.71      0.70      0.70  39470598
weighted avg       0.72      0.72      0.71  39470598

Accuracy: 0.7167014292512113

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999961290297606

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999961290297606

1-10%

              precision    recall  f1-score   support

           0       0.95      0.91      0.93  12989887
           1       0.37      0.54      0.44   1271288

    accuracy                           0.88  14261175
   macro avg       0.66      0.72      0.69  14261175
weighted avg       0.90      0.88      0.89  14261175

Accuracy: 0.8781145312360307

              precision    recall  f1-score   support

           0       0.95      0.90      0.92  11439888
           1       0.37      0.54      0.44   1271288

    accuracy                           0.86  12711176
   macro avg       0.66      0.72      0.68  12711176
weighted avg       0.89      0.86      0.87  12711176

Accuracy: 0.8632523064742397

10-20%

              precision    recall  f1-score   support

           0       0.87      0.86      0.87  18034328
           1       0.53      0.56      0.55   5083660

    accuracy                           0.80  23117988
   macro avg       0.70      0.71      0.71  23117988
weighted avg       0.80      0.80      0.80  23117988

Accuracy: 0.7950834216195631

              precision    recall  f1-score   support

           0       0.69      0.73      0.71   5044441
           1       0.61      0.57      0.59   3812372

    accuracy                           0.66   8856813
   macro avg       0.65      0.65      0.65   8856813
weighted avg       0.66      0.66      0.66   8856813

Accuracy: 0.6613873410221035

20-40%

              precision    recall  f1-score   support

           0       0.47      0.67      0.55   2995598
           1       0.77      0.59      0.67   5583215

    accuracy                           0.62   8578813
   macro avg       0.62      0.63      0.61   8578813
weighted avg       0.66      0.62      0.62   8578813

Accuracy: 0.6159584082320013

              precision    recall  f1-score   support

           0       0.79      0.83      0.81  21029926
           1       0.64      0.58      0.60  10666875

    accuracy                           0.75  31696801
   macro avg       0.72      0.70      0.71  31696801
weighted avg       0.74      0.75      0.74  31696801

Accuracy: 0.7466028196347007

40-80%

              precision    recall  f1-score   support

           0       0.29      0.64      0.39   1295061
           1       0.86      0.59      0.70   5001564

    accuracy                           0.60   6296625
   macro avg       0.57      0.61      0.55   6296625
weighted avg       0.74      0.60      0.64   6296625

Accuracy: 0.5965481507950687

80-90%

              precision    recall  f1-score   support

           0       0.20      0.63      0.31    117971
           1       0.90      0.58      0.71    692761

    accuracy                           0.59    810732
   macro avg       0.55      0.61      0.51    810732
weighted avg       0.80      0.59      0.65    810732

Accuracy: 0.5877663642239359

90-100%

              precision    recall  f1-score   support

           0       0.19      0.63      0.29     88944
           1       0.91      0.58      0.71    577496

    accuracy                           0.59    666440
   macro avg       0.55      0.61      0.50    666440
weighted avg       0.81      0.59      0.65    666440

Accuracy: 0.5866274533341336

LR_7_decay_vtime

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.74      0.52      0.61  28055468
           1       0.55      0.77      0.64  21729815

    accuracy                           0.63  49785283
   macro avg       0.65      0.64      0.63  49785283
weighted avg       0.66      0.63      0.63  49785283

Accuracy: 0.6284319203327617

              precision    recall  f1-score   support

           0       0.74      0.52      0.61  28055468
           1       0.55      0.77      0.64  21729815

    accuracy                           0.63  49785283
   macro avg       0.65      0.64      0.63  49785283
weighted avg       0.66      0.63      0.63  49785283

Accuracy: 0.6284318801602473

0-1%

              precision    recall  f1-score   support

           0       0.79      0.52      0.63  27764588
           1       0.50      0.77      0.60  17098553

    accuracy                           0.62  44863141
   macro avg       0.64      0.64      0.62  44863141
weighted avg       0.68      0.62      0.62  44863141

Accuracy: 0.615350784288599

              precision    recall  f1-score   support

           0       0.79      0.52      0.63  27764588
           1       0.50      0.77      0.60  17098553

    accuracy                           0.62  44863141
   macro avg       0.64      0.64      0.62  44863141
weighted avg       0.68      0.62      0.62  44863141

Accuracy: 0.6153508288686251

1-10%

              precision    recall  f1-score   support

           0       0.07      0.24      0.11    287564
           1       0.94      0.78      0.85   4164787

    accuracy                           0.75   4452351
   macro avg       0.50      0.51      0.48   4452351
weighted avg       0.88      0.75      0.80   4452351

Accuracy: 0.7450122418470602

              precision    recall  f1-score   support

           0       0.75      0.52      0.61  28052152
           1       0.55      0.77      0.64  21263340

    accuracy                           0.63  49315492
   macro avg       0.65      0.64      0.63  49315492
weighted avg       0.66      0.63      0.62  49315492

Accuracy: 0.6270570513622779

10-20%

              precision    recall  f1-score   support

           0       0.01      0.23      0.02      2455
           1       0.99      0.78      0.87    257616

    accuracy                           0.77    260071
   macro avg       0.50      0.50      0.44    260071
weighted avg       0.98      0.77      0.86    260071

Accuracy: 0.7707356837171387

20-40%

              precision    recall  f1-score   support

           0       0.75      0.52      0.61  28055266
           1       0.55      0.77      0.64  21651524

    accuracy                           0.63  49706790
   macro avg       0.65      0.64      0.63  49706790
weighted avg       0.66      0.63      0.63  49706790

Accuracy: 0.6282000708555109

              precision    recall  f1-score   support

           0       0.01      0.25      0.01       659
           1       1.00      0.78      0.87    130568

    accuracy                           0.78    131227
   macro avg       0.50      0.51      0.44    131227
weighted avg       0.99      0.78      0.87    131227

Accuracy: 0.7752672849337408

40-80%

              precision    recall  f1-score   support

           0       0.00      0.23      0.01       169
           1       1.00      0.78      0.87     65234

    accuracy                           0.77     65403
   macro avg       0.50      0.50      0.44     65403
weighted avg       0.99      0.77      0.87     65403

Accuracy: 0.7748574224423956

              precision    recall  f1-score   support

           0       0.74      0.52      0.61  28055435
           1       0.55      0.77      0.64  21716758

    accuracy                           0.63  49772193
   macro avg       0.65      0.64      0.63  49772193
weighted avg       0.66      0.63      0.63  49772193

Accuracy: 0.6283927855057542

80-90%

              precision    recall  f1-score   support

           0       0.00      0.27      0.00        15
           1       1.00      0.77      0.87      7371

    accuracy                           0.77      7386
   macro avg       0.50      0.52      0.44      7386
weighted avg       1.00      0.77      0.87      7386

Accuracy: 0.7695640400758191

90-100%

              precision    recall  f1-score   support

           0       0.00      0.22      0.01        18
           1       1.00      0.79      0.88      5686

    accuracy                           0.79      5704
   macro avg       0.50      0.51      0.44      5704
weighted avg       0.99      0.79      0.88      5704

Accuracy: 0.7871669004207573

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.74      0.58      0.65  26119367
           1       0.60      0.76      0.67  21615229

    accuracy                           0.66  47734596
   macro avg       0.67      0.67      0.66  47734596
weighted avg       0.68      0.66      0.66  47734596

Accuracy: 0.6593091936925579

              precision    recall  f1-score   support

           0       0.74      0.58      0.65  26119367
           1       0.60      0.76      0.67  21615229

    accuracy                           0.66  47734596
   macro avg       0.67      0.67      0.66  47734596
weighted avg       0.68      0.66      0.66  47734596

Accuracy: 0.6593091936925579

0-1%

              precision    recall  f1-score   support

           0       0.98      0.78      0.87  12053010
           1       0.12      0.70      0.20    508421

    accuracy                           0.78  12561431
   macro avg       0.55      0.74      0.54  12561431
weighted avg       0.95      0.78      0.84  12561431

Accuracy: 0.7790837684018644

              precision    recall  f1-score   support

           0       0.98      0.78      0.87  12053010
           1       0.12      0.70      0.20    508421

    accuracy                           0.78  12561431
   macro avg       0.55      0.74      0.54  12561431
weighted avg       0.95      0.78      0.84  12561431

Accuracy: 0.7790837684018644

1-10%

              precision    recall  f1-score   support

           0       0.80      0.59      0.68  25421477
           1       0.52      0.75      0.61  14975241

    accuracy                           0.65  40396718
   macro avg       0.66      0.67      0.65  40396718
weighted avg       0.70      0.65      0.65  40396718

Accuracy: 0.6488780846008332

              precision    recall  f1-score   support

           0       0.61      0.41      0.49  13368467
           1       0.58      0.76      0.66  14466820

    accuracy                           0.59  27835287
   macro avg       0.59      0.58      0.57  27835287
weighted avg       0.59      0.59      0.58  27835287

Accuracy: 0.5901192252840791

10-20%

              precision    recall  f1-score   support

           0       0.77      0.58      0.66  25924842
           1       0.56      0.76      0.64  18362515

    accuracy                           0.65  44287357
   macro avg       0.67      0.67      0.65  44287357
weighted avg       0.68      0.65      0.66  44287357

Accuracy: 0.6537253058474454

              precision    recall  f1-score   support

           0       0.16      0.31      0.21    503365
           1       0.88      0.76      0.82   3387274

    accuracy                           0.70   3890639
   macro avg       0.52      0.54      0.52   3890639
weighted avg       0.79      0.70      0.74   3890639

Accuracy: 0.7040542697484912

20-40%

              precision    recall  f1-score   support

           0       0.75      0.58      0.66  26072330
           1       0.58      0.76      0.66  20332940

    accuracy                           0.66  46405270
   macro avg       0.67      0.67      0.66  46405270
weighted avg       0.68      0.66      0.66  46405270

Accuracy: 0.6570462578926919

              precision    recall  f1-score   support

           0       0.09      0.31      0.14    147488
           1       0.94      0.76      0.84   1970425

    accuracy                           0.73   2117913
   macro avg       0.51      0.53      0.49   2117913
weighted avg       0.88      0.73      0.79   2117913

Accuracy: 0.7264901816080264

40-80%

              precision    recall  f1-score   support

           0       0.74      0.58      0.65  26113946
           1       0.60      0.76      0.67  21397219

    accuracy                           0.66  47511165
   macro avg       0.67      0.67      0.66  47511165
weighted avg       0.68      0.66      0.66  47511165

Accuracy: 0.6589230131485936

              precision    recall  f1-score   support

           0       0.05      0.31      0.08     41616
           1       0.97      0.75      0.85   1064279

    accuracy                           0.74   1105895
   macro avg       0.51      0.53      0.46   1105895
weighted avg       0.93      0.74      0.82   1105895

Accuracy: 0.7376749148879415

80-90%

              precision    recall  f1-score   support

           0       0.03      0.33      0.06      3093
           1       0.98      0.75      0.85    120943

    accuracy                           0.74    124036
   macro avg       0.50      0.54      0.45    124036
weighted avg       0.95      0.74      0.83    124036

Accuracy: 0.7408494308104099

90-100%

              precision    recall  f1-score   support

           0       0.03      0.31      0.05      2328
           1       0.98      0.75      0.85     97067

    accuracy                           0.74     99395
   macro avg       0.50      0.53      0.45     99395
weighted avg       0.96      0.74      0.83     99395

Accuracy: 0.7421500075456512

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.76      0.60      0.67  24893266
           1       0.61      0.77      0.68  20563095

    accuracy                           0.68  45456361
   macro avg       0.69      0.68      0.68  45456361
weighted avg       0.69      0.68      0.67  45456361

Accuracy: 0.6755462013336263

              precision    recall  f1-score   support

           0       0.76      0.60      0.67  24893266
           1       0.61      0.77      0.68  20563095

    accuracy                           0.68  45456361
   macro avg       0.69      0.68      0.68  45456361
weighted avg       0.69      0.68      0.67  45456361

Accuracy: 0.6755462013336263

0-1%

              precision    recall  f1-score   support

           0       1.00      0.95      0.97   4873589
           1       0.01      0.71      0.02      3872

    accuracy                           0.95   4877461
   macro avg       0.51      0.83      0.50   4877461
weighted avg       1.00      0.95      0.97   4877461

Accuracy: 0.9479210597480944

              precision    recall  f1-score   support

           0       1.00      0.95      0.97   4873589
           1       0.01      0.71      0.02      3872

    accuracy                           0.95   4877461
   macro avg       0.51      0.83      0.50   4877461
weighted avg       1.00      0.95      0.97   4877461

Accuracy: 0.9479210597480944

1-10%

              precision    recall  f1-score   support

           0       0.88      0.63      0.74  21822692
           1       0.43      0.76      0.55   8020644

    accuracy                           0.67  29843336
   macro avg       0.66      0.70      0.64  29843336
weighted avg       0.76      0.67      0.69  29843336

Accuracy: 0.6672417922714806

              precision    recall  f1-score   support

           0       0.83      0.54      0.65  16949103
           1       0.44      0.76      0.56   8016772

    accuracy                           0.61  24965875
   macro avg       0.63      0.65      0.61  24965875
weighted avg       0.70      0.61      0.62  24965875

Accuracy: 0.6124068553575631

10-20%

              precision    recall  f1-score   support

           0       0.82      0.61      0.70  23880186
           1       0.53      0.77      0.62  13481800

    accuracy                           0.67  37361986
   macro avg       0.67      0.69      0.66  37361986
weighted avg       0.72      0.67      0.67  37361986

Accuracy: 0.6666354673972631

              precision    recall  f1-score   support

           0       0.38      0.37      0.37   2057494
           1       0.77      0.78      0.77   5461156

    accuracy                           0.66   7518650
   macro avg       0.57      0.57      0.57   7518650
weighted avg       0.66      0.66      0.66   7518650

Accuracy: 0.6642288176733855

20-40%

              precision    recall  f1-score   support

           0       0.78      0.60      0.68  24625160
           1       0.58      0.77      0.66  17542339

    accuracy                           0.67  42167499
   macro avg       0.68      0.69      0.67  42167499
weighted avg       0.70      0.67      0.67  42167499

Accuracy: 0.6712092410318193

              precision    recall  f1-score   support

           0       0.22      0.36      0.27    744974
           1       0.87      0.77      0.82   4060539

    accuracy                           0.71   4805513
   macro avg       0.54      0.56      0.54   4805513
weighted avg       0.77      0.71      0.73   4805513

Accuracy: 0.7067694957853615

40-80%

              precision    recall  f1-score   support

           0       0.76      0.60      0.67  24861069
           1       0.61      0.77      0.68  20026114

    accuracy                           0.67  44887183
   macro avg       0.68      0.68      0.67  44887183
weighted avg       0.69      0.67      0.67  44887183

Accuracy: 0.6747492708553352

              precision    recall  f1-score   support

           0       0.13      0.35      0.19    235909
           1       0.93      0.77      0.84   2483775

    accuracy                           0.73   2719684
   macro avg       0.53      0.56      0.51   2719684
weighted avg       0.86      0.73      0.78   2719684

Accuracy: 0.7296358694613051

80-90%

              precision    recall  f1-score   support

           0       0.09      0.36      0.14     18577
           1       0.95      0.76      0.84    296772

    accuracy                           0.74    315349
   macro avg       0.52      0.56      0.49    315349
weighted avg       0.90      0.74      0.80    315349

Accuracy: 0.7371737344973347

90-100%

              precision    recall  f1-score   support

           0       0.08      0.36      0.13     13620
           1       0.95      0.76      0.85    240209

    accuracy                           0.74    253829
   macro avg       0.52      0.56      0.49    253829
weighted avg       0.91      0.74      0.81    253829

Accuracy: 0.739911515232696

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.79      0.63      0.70  22531902
           1       0.61      0.78      0.69  16938696

    accuracy                           0.70  39470598
   macro avg       0.70      0.71      0.70  39470598
weighted avg       0.72      0.70      0.70  39470598

Accuracy: 0.6961267219716306

              precision    recall  f1-score   support

           0       0.79      0.63      0.70  22531902
           1       0.61      0.78      0.69  16938696

    accuracy                           0.70  39470598
   macro avg       0.70      0.71      0.70  39470598
weighted avg       0.72      0.70      0.70  39470598

Accuracy: 0.6961267219716306

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9993290318251818

1-10%

              precision    recall  f1-score   support

           0       0.97      0.76      0.85  12989887
           1       0.24      0.76      0.36   1271288

    accuracy                           0.76  14261175
   macro avg       0.60      0.76      0.61  14261175
weighted avg       0.90      0.76      0.81  14261175

Accuracy: 0.7609563728093933

              precision    recall  f1-score   support

           0       0.96      0.73      0.83  11439888
           1       0.24      0.76      0.36   1271288

    accuracy                           0.73  12711176
   macro avg       0.60      0.74      0.60  12711176
weighted avg       0.89      0.73      0.78  12711176

Accuracy: 0.7318892445514089

10-20%

              precision    recall  f1-score   support

           0       0.92      0.68      0.78  18034328
           1       0.41      0.78      0.54   5083660

    accuracy                           0.70  23117988
   macro avg       0.66      0.73      0.66  23117988
weighted avg       0.80      0.70      0.73  23117988

Accuracy: 0.7035804326916338

              precision    recall  f1-score   support

           0       0.75      0.48      0.59   5044441
           1       0.53      0.78      0.63   3812372

    accuracy                           0.61   8856813
   macro avg       0.64      0.63      0.61   8856813
weighted avg       0.65      0.61      0.61   8856813

Accuracy: 0.611194116890579

20-40%

              precision    recall  f1-score   support

           0       0.52      0.43      0.47   2995598
           1       0.72      0.79      0.75   5583215

    accuracy                           0.66   8578813
   macro avg       0.62      0.61      0.61   8578813
weighted avg       0.65      0.66      0.65   8578813

Accuracy: 0.6628296945043562

              precision    recall  f1-score   support

           0       0.85      0.65      0.74  21029926
           1       0.53      0.78      0.63  10666875

    accuracy                           0.69  31696801
   macro avg       0.69      0.71      0.68  31696801
weighted avg       0.74      0.69      0.70  31696801

Accuracy: 0.6925511505088479

40-80%

              precision    recall  f1-score   support

           0       0.33      0.41      0.37   1295061
           1       0.84      0.78      0.81   5001564

    accuracy                           0.71   6296625
   macro avg       0.58      0.60      0.59   6296625
weighted avg       0.73      0.71      0.72   6296625

Accuracy: 0.706921723939412

80-90%

              precision    recall  f1-score   support

           0       0.24      0.41      0.30    117971
           1       0.89      0.78      0.83    692761

    accuracy                           0.73    810732
   macro avg       0.56      0.59      0.56    810732
weighted avg       0.79      0.73      0.75    810732

Accuracy: 0.7251175480923412

90-100%

              precision    recall  f1-score   support

           0       0.22      0.41      0.29     88944
           1       0.89      0.78      0.83    577496

    accuracy                           0.73    666440
   macro avg       0.56      0.59      0.56    666440
weighted avg       0.80      0.73      0.76    666440

Accuracy: 0.7289253346137686

LR_7_decay_vtime_w_0_5

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.18      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.37      0.50      0.36  49785283
weighted avg       0.40      0.56      0.41  49785283

Accuracy: 0.5635253293628962

              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.18      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.37      0.50      0.36  49785283
weighted avg       0.40      0.56      0.41  49785283

Accuracy: 0.5635253293628962

0-1%

              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.14      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.38      0.50      0.38  44863141
weighted avg       0.44      0.62      0.47  44863141

Accuracy: 0.6188683935438225

              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.14      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.38      0.50      0.38  44863141
weighted avg       0.44      0.62      0.47  44863141

Accuracy: 0.6188683935438225

1-10%

              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.69      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.38      0.50      0.06   4452351
weighted avg       0.65      0.06      0.01   4452351

Accuracy: 0.06458834894194102

              precision    recall  f1-score   support

           0       0.57      1.00      0.73  28052152
           1       0.17      0.00      0.00  21263340

    accuracy                           0.57  49315492
   macro avg       0.37      0.50      0.36  49315492
weighted avg       0.40      0.57      0.41  49315492

Accuracy: 0.568826323379274

10-20%

              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       1.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.50      0.50      0.01    260071
weighted avg       0.99      0.01      0.00    260071

Accuracy: 0.009451265231417575

              precision    recall  f1-score   support

           0       0.57      1.00      0.72  28054607
           1       0.18      0.00      0.00  21520956

    accuracy                           0.57  49575563
   macro avg       0.37      0.50      0.36  49575563
weighted avg       0.40      0.57      0.41  49575563

Accuracy: 0.5658918689435761

20-40%

              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055266
           1       0.18      0.00      0.00  21651524

    accuracy                           0.56  49706790
   macro avg       0.37      0.50      0.36  49706790
weighted avg       0.40      0.56      0.41  49706790

Accuracy: 0.5644111800420023

              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       1.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.50      0.50      0.01    131227
weighted avg       1.00      0.01      0.00    131227

Accuracy: 0.005029452780296738

40-80%

              precision    recall  f1-score   support

           0       0.00      0.99      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.49      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002553399691145666

              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055435
           1       0.18      0.00      0.00  21716758

    accuracy                           0.56  49772193
   macro avg       0.37      0.50      0.36  49772193
weighted avg       0.40      0.56      0.41  49772193

Accuracy: 0.5636728725214097

80-90%

              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455

90-100%

              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.58      0.95      0.72  26119367
           1       0.72      0.17      0.28  21615229

    accuracy                           0.59  47734596
   macro avg       0.65      0.56      0.50  47734596
weighted avg       0.64      0.59      0.52  47734596

Accuracy: 0.5945489933548406

              precision    recall  f1-score   support

           0       0.58      0.95      0.72  26119367
           1       0.72      0.17      0.28  21615229

    accuracy                           0.59  47734596
   macro avg       0.65      0.56      0.50  47734596
weighted avg       0.64      0.59      0.52  47734596

Accuracy: 0.5945489933548406

0-1%

              precision    recall  f1-score   support

           0       0.96      0.99      0.98  12053010
           1       0.40      0.14      0.21    508421

    accuracy                           0.96  12561431
   macro avg       0.68      0.57      0.59  12561431
weighted avg       0.94      0.96      0.95  12561431

Accuracy: 0.9567321589395348

              precision    recall  f1-score   support

           0       0.96      0.99      0.98  12053010
           1       0.40      0.14      0.21    508421

    accuracy                           0.96  12561431
   macro avg       0.68      0.57      0.59  12561431
weighted avg       0.94      0.96      0.95  12561431

Accuracy: 0.9567321589395348

1-10%

              precision    recall  f1-score   support

           0       0.66      0.95      0.78  25421477
           1       0.65      0.17      0.26  14975241

    accuracy                           0.66  40396718
   macro avg       0.66      0.56      0.52  40396718
weighted avg       0.66      0.66      0.59  40396718

Accuracy: 0.6581969604560449

              precision    recall  f1-score   support

           0       0.50      0.91      0.65  13368467
           1       0.67      0.17      0.27  14466820

    accuracy                           0.52  27835287
   macro avg       0.58      0.54      0.46  27835287
weighted avg       0.59      0.52      0.45  27835287

Accuracy: 0.5234748253179499

10-20%

              precision    recall  f1-score   support

           0       0.62      0.95      0.75  25924842
           1       0.69      0.17      0.27  18362515

    accuracy                           0.62  44287357
   macro avg       0.65      0.56      0.51  44287357
weighted avg       0.65      0.62      0.55  44287357

Accuracy: 0.6237390278223196

              precision    recall  f1-score   support

           0       0.13      0.84      0.23    503365
           1       0.88      0.18      0.30   3387274

    accuracy                           0.27   3890639
   macro avg       0.51      0.51      0.26   3890639
weighted avg       0.79      0.27      0.29   3890639

Accuracy: 0.2659604244958219

20-40%

              precision    recall  f1-score   support

           0       0.59      0.95      0.73  26072330
           1       0.71      0.17      0.27  20332940

    accuracy                           0.61  46405270
   macro avg       0.65      0.56      0.50  46405270
weighted avg       0.64      0.61      0.53  46405270

Accuracy: 0.6056843543847499

              precision    recall  f1-score   support

           0       0.07      0.84      0.13    147488
           1       0.94      0.18      0.31   1970425

    accuracy                           0.23   2117913
   macro avg       0.50      0.51      0.22   2117913
weighted avg       0.88      0.23      0.29   2117913

Accuracy: 0.22814582090954633

40-80%

              precision    recall  f1-score   support

           0       0.58      0.95      0.72  26113946
           1       0.72      0.17      0.28  21397219

    accuracy                           0.60  47511165
   macro avg       0.65      0.56      0.50  47511165
weighted avg       0.64      0.60      0.52  47511165

Accuracy: 0.596408991444432

              precision    recall  f1-score   support

           0       0.04      0.84      0.07     41616
           1       0.97      0.18      0.31   1064279

    accuracy                           0.21   1105895
   macro avg       0.50      0.51      0.19   1105895
weighted avg       0.93      0.21      0.30   1105895

Accuracy: 0.2071986942702517

80-90%

              precision    recall  f1-score   support

           0       0.03      0.84      0.05      3093
           1       0.98      0.18      0.31    120943

    accuracy                           0.20    124036
   macro avg       0.50      0.51      0.18    124036
weighted avg       0.95      0.20      0.30    124036

Accuracy: 0.20071592118417234

90-100%

              precision    recall  f1-score   support

           0       0.02      0.84      0.05      2328
           1       0.98      0.18      0.31     97067

    accuracy                           0.20     99395
   macro avg       0.50      0.51      0.18     99395
weighted avg       0.96      0.20      0.30     99395

Accuracy: 0.19693143518285627

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.60      0.93      0.73  24893266
           1       0.74      0.26      0.39  20563095

    accuracy                           0.63  45456361
   macro avg       0.67      0.59      0.56  45456361
weighted avg       0.67      0.63      0.58  45456361

Accuracy: 0.6251611518132743

              precision    recall  f1-score   support

           0       0.60      0.93      0.73  24893266
           1       0.74      0.26      0.39  20563095

    accuracy                           0.63  45456361
   macro avg       0.67      0.59      0.56  45456361
weighted avg       0.67      0.63      0.58  45456361

Accuracy: 0.6251611518132743

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.24      0.21      0.23      3872

    accuracy                           1.00   4877461
   macro avg       0.62      0.61      0.61   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.998844070716301

1-10%

              precision    recall  f1-score   support

           0       0.77      0.94      0.85  21822692
           1       0.62      0.25      0.36   8020644

    accuracy                           0.76  29843336
   macro avg       0.69      0.60      0.60  29843336
weighted avg       0.73      0.76      0.72  29843336

Accuracy: 0.7564489439116324

              precision    recall  f1-score   support

           0       0.72      0.93      0.81  16949103
           1       0.62      0.25      0.36   8016772

    accuracy                           0.71  24965875
   macro avg       0.67      0.59      0.58  24965875
weighted avg       0.69      0.71      0.67  24965875

Accuracy: 0.7090933924807362

10-20%

              precision    recall  f1-score   support

           0       0.69      0.93      0.79  23880186
           1       0.68      0.26      0.37  13481800

    accuracy                           0.69  37361986
   macro avg       0.68      0.59      0.58  37361986
weighted avg       0.69      0.69      0.64  37361986

Accuracy: 0.6879937003348805

              precision    recall  f1-score   support

           0       0.29      0.81      0.43   2057494
           1       0.79      0.27      0.40   5461156

    accuracy                           0.42   7518650
   macro avg       0.54      0.54      0.42   7518650
weighted avg       0.65      0.42      0.41   7518650

Accuracy: 0.41627832124118025

20-40%

              precision    recall  f1-score   support

           0       0.17      0.79      0.27    744974
           1       0.87      0.27      0.41   4060539

    accuracy                           0.35   4805513
   macro avg       0.52      0.53      0.34   4805513
weighted avg       0.76      0.35      0.39   4805513

Accuracy: 0.3509681484578233

40-80%

              precision    recall  f1-score   support

           0       0.61      0.93      0.73  24861069
           1       0.74      0.26      0.39  20026114

    accuracy                           0.63  44887183
   macro avg       0.67      0.59      0.56  44887183
weighted avg       0.67      0.63      0.58  44887183

Accuracy: 0.6293102866357196

              precision    recall  f1-score   support

           0       0.09      0.78      0.17    235909
           1       0.93      0.27      0.42   2483775

    accuracy                           0.31   2719684
   macro avg       0.51      0.53      0.29   2719684
weighted avg       0.86      0.31      0.40   2719684

Accuracy: 0.3149531342611862

80-90%

              precision    recall  f1-score   support

           0       0.06      0.79      0.12     18577
           1       0.95      0.27      0.42    296772

    accuracy                           0.30    315349
   macro avg       0.51      0.53      0.27    315349
weighted avg       0.90      0.30      0.40    315349

Accuracy: 0.2990432822047953

90-100%

              precision    recall  f1-score   support

           0       0.06      0.79      0.11     13620
           1       0.96      0.27      0.42    240209

    accuracy                           0.30    253829
   macro avg       0.51      0.53      0.26    253829
weighted avg       0.91      0.30      0.40    253829

Accuracy: 0.2965854965350689

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.66      0.93      0.77  22531902
           1       0.79      0.36      0.50  16938696

    accuracy                           0.68  39470598
   macro avg       0.72      0.64      0.63  39470598
weighted avg       0.71      0.68      0.65  39470598

Accuracy: 0.6836938219177728

              precision    recall  f1-score   support

           0       0.66      0.93      0.77  22531902
           1       0.79      0.36      0.50  16938696

    accuracy                           0.68  39470598
   macro avg       0.72      0.64      0.63  39470598
weighted avg       0.71      0.68      0.65  39470598

Accuracy: 0.6836938219177728

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0

1-10%

              precision    recall  f1-score   support

           0       0.94      0.97      0.95  12989887
           1       0.55      0.32      0.40   1271288

    accuracy                           0.92  14261175
   macro avg       0.74      0.65      0.68  14261175
weighted avg       0.90      0.92      0.91  14261175

Accuracy: 0.9159621840416375

              precision    recall  f1-score   support

           0       0.93      0.97      0.95  11439888
           1       0.55      0.32      0.40   1271288

    accuracy                           0.91  12711176
   macro avg       0.74      0.64      0.68  12711176
weighted avg       0.89      0.91      0.89  12711176

Accuracy: 0.9057146246735943

10-20%

              precision    recall  f1-score   support

           0       0.84      0.95      0.89  18034328
           1       0.66      0.35      0.45   5083660

    accuracy                           0.82  23117988
   macro avg       0.75      0.65      0.67  23117988
weighted avg       0.80      0.82      0.79  23117988

Accuracy: 0.8174771091671127

              precision    recall  f1-score   support

           0       0.65      0.89      0.75   5044441
           1       0.71      0.35      0.47   3812372

    accuracy                           0.66   8856813
   macro avg       0.68      0.62      0.61   8856813
weighted avg       0.67      0.66      0.63   8856813

Accuracy: 0.6588971676380657

20-40%

              precision    recall  f1-score   support

           0       0.42      0.84      0.56   2995598
           1       0.81      0.37      0.51   5583215

    accuracy                           0.53   8578813
   macro avg       0.61      0.60      0.53   8578813
weighted avg       0.67      0.53      0.52   8578813

Accuracy: 0.5332934754493425

              precision    recall  f1-score   support

           0       0.74      0.93      0.83  21029926
           1       0.74      0.36      0.48  10666875

    accuracy                           0.74  31696801
   macro avg       0.74      0.65      0.65  31696801
weighted avg       0.74      0.74      0.71  31696801

Accuracy: 0.7405621469497821

40-80%

              precision    recall  f1-score   support

           0       0.25      0.80      0.38   1295061
           1       0.88      0.37      0.52   5001564

    accuracy                           0.46   6296625
   macro avg       0.56      0.59      0.45   6296625
weighted avg       0.75      0.46      0.49   6296625

Accuracy: 0.45834395410239614

              precision    recall  f1-score   support

           0       0.67      0.93      0.78  22324987
           1       0.78      0.36      0.49  15668439

    accuracy                           0.69  37993426
   macro avg       0.73      0.64      0.64  37993426
weighted avg       0.72      0.69      0.66  37993426

Accuracy: 0.6937903151982135

80-90%

              precision    recall  f1-score   support

           0       0.18      0.79      0.29    117971
           1       0.91      0.36      0.52    692761

    accuracy                           0.43    810732
   macro avg       0.54      0.58      0.40    810732
weighted avg       0.80      0.43      0.49    810732

Accuracy: 0.42651949102786124

90-100%

              precision    recall  f1-score   support

           0       0.16      0.79      0.27     88944
           1       0.92      0.36      0.52    577496

    accuracy                           0.42    666440
   macro avg       0.54      0.58      0.39    666440
weighted avg       0.82      0.42      0.49    666440

Accuracy: 0.42095312406218116

LR_7_decay_vtime_w_0_75

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.63      0.84      0.72  28055468
           1       0.63      0.37      0.46  21729815

    accuracy                           0.63  49785283
   macro avg       0.63      0.60      0.59  49785283
weighted avg       0.63      0.63      0.61  49785283

Accuracy: 0.6311348877940495

              precision    recall  f1-score   support

           0       0.63      0.84      0.72  28055468
           1       0.63      0.37      0.46  21729815

    accuracy                           0.63  49785283
   macro avg       0.63      0.60      0.59  49785283
weighted avg       0.63      0.63      0.61  49785283

Accuracy: 0.6311348877940495

0-1%

              precision    recall  f1-score   support

           0       0.68      0.84      0.75  27764588
           1       0.58      0.36      0.44  17098553

    accuracy                           0.66  44863141
   macro avg       0.63      0.60      0.60  44863141
weighted avg       0.64      0.66      0.63  44863141

Accuracy: 0.6555909672040128

              precision    recall  f1-score   support

           0       0.68      0.84      0.75  27764588
           1       0.58      0.36      0.44  17098553

    accuracy                           0.66  44863141
   macro avg       0.63      0.60      0.60  44863141
weighted avg       0.64      0.66      0.63  44863141

Accuracy: 0.6555909672040128

1-10%

              precision    recall  f1-score   support

           0       0.07      0.62      0.12    287564
           1       0.94      0.39      0.56   4164787

    accuracy                           0.41   4452351
   macro avg       0.50      0.51      0.34   4452351
weighted avg       0.88      0.41      0.53   4452351

Accuracy: 0.4092141432694772

10-20%

              precision    recall  f1-score   support

           0       0.01      0.60      0.02      2455
           1       0.99      0.40      0.57    257616

    accuracy                           0.40    260071
   macro avg       0.50      0.50      0.29    260071
weighted avg       0.98      0.40      0.56    260071

Accuracy: 0.39927942754094076

              precision    recall  f1-score   support

           0       0.63      0.84      0.72  28054607
           1       0.63      0.37      0.46  21520956

    accuracy                           0.63  49575563
   macro avg       0.63      0.60      0.59  49575563
weighted avg       0.63      0.63      0.61  49575563

Accuracy: 0.6321194173831167

20-40%

              precision    recall  f1-score   support

           0       0.63      0.84      0.72  28055266
           1       0.63      0.37      0.46  21651524

    accuracy                           0.63  49706790
   macro avg       0.63      0.60      0.59  49706790
weighted avg       0.63      0.63      0.61  49706790

Accuracy: 0.6314995396001231

              precision    recall  f1-score   support

           0       0.01      0.64      0.01       659
           1       1.00      0.40      0.57    130568

    accuracy                           0.40    131227
   macro avg       0.50      0.52      0.29    131227
weighted avg       0.99      0.40      0.56    131227

Accuracy: 0.3973191492604418

40-80%

              precision    recall  f1-score   support

           0       0.00      0.60      0.01       169
           1       1.00      0.40      0.57     65234

    accuracy                           0.40     65403
   macro avg       0.50      0.50      0.29     65403
weighted avg       0.99      0.40      0.57     65403

Accuracy: 0.4012354173355962

              precision    recall  f1-score   support

           0       0.63      0.84      0.72  28055435
           1       0.63      0.37      0.46  21716758

    accuracy                           0.63  49772193
   macro avg       0.63      0.60      0.59  49772193
weighted avg       0.63      0.63      0.61  49772193

Accuracy: 0.6311969617251947

80-90%

              precision    recall  f1-score   support

           0       0.00      0.40      0.00        15
           1       1.00      0.38      0.56      7371

    accuracy                           0.38      7386
   macro avg       0.50      0.39      0.28      7386
weighted avg       0.99      0.38      0.55      7386

Accuracy: 0.38478202003790957

90-100%

              precision    recall  f1-score   support

           0       0.00      0.67      0.01        18
           1       1.00      0.41      0.58      5686

    accuracy                           0.41      5704
   macro avg       0.50      0.54      0.29      5704
weighted avg       0.99      0.41      0.58      5704

Accuracy: 0.40848527349228614

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.66      0.78      0.72  26119367
           1       0.66      0.52      0.58  21615229

    accuracy                           0.66  47734596
   macro avg       0.66      0.65      0.65  47734596
weighted avg       0.66      0.66      0.65  47734596

Accuracy: 0.6618987620634728

              precision    recall  f1-score   support

           0       0.66      0.78      0.72  26119367
           1       0.66      0.52      0.58  21615229

    accuracy                           0.66  47734596
   macro avg       0.66      0.65      0.65  47734596
weighted avg       0.66      0.66      0.65  47734596

Accuracy: 0.6618987620634728

0-1%

              precision    recall  f1-score   support

           0       0.98      0.93      0.95  12053010
           1       0.21      0.45      0.29    508421

    accuracy                           0.91  12561431
   macro avg       0.59      0.69      0.62  12561431
weighted avg       0.94      0.91      0.93  12561431

Accuracy: 0.9103169057729171

              precision    recall  f1-score   support

           0       0.98      0.93      0.95  12053010
           1       0.21      0.45      0.29    508421

    accuracy                           0.91  12561431
   macro avg       0.59      0.69      0.62  12561431
weighted avg       0.94      0.91      0.93  12561431

Accuracy: 0.9103169057729171

1-10%

              precision    recall  f1-score   support

           0       0.73      0.79      0.76  25421477
           1       0.59      0.51      0.55  14975241

    accuracy                           0.69  40396718
   macro avg       0.66      0.65      0.65  40396718
weighted avg       0.68      0.69      0.68  40396718

Accuracy: 0.6866531583085537

              precision    recall  f1-score   support

           0       0.56      0.66      0.61  13368467
           1       0.62      0.51      0.56  14466820

    accuracy                           0.59  27835287
   macro avg       0.59      0.59      0.58  27835287
weighted avg       0.59      0.59      0.58  27835287

Accuracy: 0.5857188036178682

10-20%

              precision    recall  f1-score   support

           0       0.70      0.79      0.74  25924842
           1       0.63      0.51      0.57  18362515

    accuracy                           0.67  44287357
   macro avg       0.66      0.65      0.65  44287357
weighted avg       0.67      0.67      0.67  44287357

Accuracy: 0.6726740997436357

              precision    recall  f1-score   support

           0       0.14      0.53      0.22    503365
           1       0.88      0.53      0.66   3387274

    accuracy                           0.53   3890639
   macro avg       0.51      0.53      0.44   3890639
weighted avg       0.79      0.53      0.60   3890639

Accuracy: 0.5275287684105362

20-40%

              precision    recall  f1-score   support

           0       0.67      0.78      0.73  26072330
           1       0.65      0.51      0.57  20332940

    accuracy                           0.67  46405270
   macro avg       0.66      0.65      0.65  46405270
weighted avg       0.66      0.67      0.66  46405270

Accuracy: 0.6659040880486203

              precision    recall  f1-score   support

           0       0.08      0.52      0.13    147488
           1       0.94      0.52      0.67   1970425

    accuracy                           0.52   2117913
   macro avg       0.51      0.52      0.40   2117913
weighted avg       0.88      0.52      0.63   2117913

Accuracy: 0.5243374019612703

40-80%

              precision    recall  f1-score   support

           0       0.66      0.78      0.72  26113946
           1       0.66      0.52      0.58  21397219

    accuracy                           0.66  47511165
   macro avg       0.66      0.65      0.65  47511165
weighted avg       0.66      0.66      0.66  47511165

Accuracy: 0.662564746623241

              precision    recall  f1-score   support

           0       0.04      0.53      0.08     41616
           1       0.97      0.52      0.68   1064279

    accuracy                           0.52   1105895
   macro avg       0.50      0.53      0.38   1105895
weighted avg       0.93      0.52      0.66   1105895

Accuracy: 0.5224401954977642

80-90%

              precision    recall  f1-score   support

           0       0.03      0.54      0.05      3093
           1       0.98      0.52      0.68    120943

    accuracy                           0.52    124036
   macro avg       0.50      0.53      0.37    124036
weighted avg       0.95      0.52      0.66    124036

Accuracy: 0.5207762262568931

90-100%

              precision    recall  f1-score   support

           0       0.03      0.52      0.05      2328
           1       0.98      0.52      0.68     97067

    accuracy                           0.52     99395
   macro avg       0.50      0.52      0.36     99395
weighted avg       0.96      0.52      0.66     99395

Accuracy: 0.5196639670003521

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.69      0.78      0.73  24893266
           1       0.68      0.56      0.62  20563095

    accuracy                           0.68  45456361
   macro avg       0.68      0.67      0.67  45456361
weighted avg       0.68      0.68      0.68  45456361

Accuracy: 0.6839020175856136

              precision    recall  f1-score   support

           0       0.69      0.78      0.73  24893266
           1       0.68      0.56      0.62  20563095

    accuracy                           0.68  45456361
   macro avg       0.68      0.67      0.67  45456361
weighted avg       0.68      0.68      0.68  45456361

Accuracy: 0.6839020175856136

0-1%

              precision    recall  f1-score   support

           0       1.00      0.99      1.00   4873589
           1       0.05      0.49      0.09      3872

    accuracy                           0.99   4877461
   macro avg       0.52      0.74      0.54   4877461
weighted avg       1.00      0.99      1.00   4877461

Accuracy: 0.9915525721271785

              precision    recall  f1-score   support

           0       1.00      0.99      1.00   4873589
           1       0.05      0.49      0.09      3872

    accuracy                           0.99   4877461
   macro avg       0.52      0.74      0.54   4877461
weighted avg       1.00      0.99      1.00   4877461

Accuracy: 0.9915525721271785

1-10%

              precision    recall  f1-score   support

           0       0.83      0.81      0.82  21822692
           1       0.52      0.55      0.54   8020644

    accuracy                           0.74  29843336
   macro avg       0.68      0.68      0.68  29843336
weighted avg       0.75      0.74      0.75  29843336

Accuracy: 0.7441137277682361

              precision    recall  f1-score   support

           0       0.78      0.76      0.77  16949103
           1       0.52      0.55      0.54   8016772

    accuracy                           0.70  24965875
   macro avg       0.65      0.66      0.66  24965875
weighted avg       0.70      0.70      0.70  24965875

Accuracy: 0.6957728098854937

10-20%

              precision    recall  f1-score   support

           0       0.76      0.79      0.78  23880186
           1       0.61      0.56      0.58  13481800

    accuracy                           0.71  37361986
   macro avg       0.68      0.68      0.68  37361986
weighted avg       0.71      0.71      0.71  37361986

Accuracy: 0.7097037614649285

              precision    recall  f1-score   support

           0       0.33      0.57      0.42   2057494
           1       0.78      0.58      0.66   5461156

    accuracy                           0.57   7518650
   macro avg       0.56      0.57      0.54   7518650
weighted avg       0.66      0.57      0.60   7518650

Accuracy: 0.5731223025410147

20-40%

              precision    recall  f1-score   support

           0       0.72      0.79      0.75  24625160
           1       0.65      0.56      0.61  17542339

    accuracy                           0.69  42167499
   macro avg       0.68      0.67      0.68  42167499
weighted avg       0.69      0.69      0.69  42167499

Accuracy: 0.6934430946450013

              precision    recall  f1-score   support

           0       0.19      0.54      0.28    744974
           1       0.87      0.57      0.69   4060539

    accuracy                           0.57   4805513
   macro avg       0.53      0.56      0.48   4805513
weighted avg       0.77      0.57      0.63   4805513

Accuracy: 0.5670193796167027

40-80%

              precision    recall  f1-score   support

           0       0.69      0.78      0.73  24861069
           1       0.68      0.56      0.62  20026114

    accuracy                           0.69  44887183
   macro avg       0.68      0.67      0.67  44887183
weighted avg       0.68      0.69      0.68  44887183

Accuracy: 0.6854893968284889

              precision    recall  f1-score   support

           0       0.10      0.54      0.17    235909
           1       0.93      0.56      0.70   2483775

    accuracy                           0.56   2719684
   macro avg       0.52      0.55      0.44   2719684
weighted avg       0.86      0.56      0.66   2719684

Accuracy: 0.5621708257282831

80-90%

              precision    recall  f1-score   support

           0       0.07      0.54      0.13     18577
           1       0.95      0.56      0.71    296772

    accuracy                           0.56    315349
   macro avg       0.51      0.55      0.42    315349
weighted avg       0.90      0.56      0.67    315349

Accuracy: 0.558945802904084

90-100%

              precision    recall  f1-score   support

           0       0.06      0.54      0.12     13620
           1       0.96      0.56      0.71    240209

    accuracy                           0.56    253829
   macro avg       0.51      0.55      0.41    253829
weighted avg       0.91      0.56      0.67    253829

Accuracy: 0.5584310697359246

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.72      0.82      0.77  22531902
           1       0.71      0.58      0.64  16938696

    accuracy                           0.72  39470598
   macro avg       0.71      0.70      0.70  39470598
weighted avg       0.72      0.72      0.71  39470598

Accuracy: 0.7166955514583285

              precision    recall  f1-score   support

           0       0.72      0.82      0.77  22531902
           1       0.71      0.58      0.64  16938696

    accuracy                           0.72  39470598
   macro avg       0.71      0.70      0.70  39470598
weighted avg       0.72      0.72      0.71  39470598

Accuracy: 0.7166955514583285

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999961290297606

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999961290297606

1-10%

              precision    recall  f1-score   support

           0       0.95      0.91      0.93  12989887
           1       0.37      0.54      0.44   1271288

    accuracy                           0.88  14261175
   macro avg       0.66      0.72      0.69  14261175
weighted avg       0.90      0.88      0.89  14261175

Accuracy: 0.8781296772531015

              precision    recall  f1-score   support

           0       0.95      0.90      0.92  11439888
           1       0.37      0.54      0.44   1271288

    accuracy                           0.86  12711176
   macro avg       0.66      0.72      0.68  12711176
weighted avg       0.89      0.86      0.87  12711176

Accuracy: 0.8632692993944856

10-20%

              precision    recall  f1-score   support

           0       0.87      0.86      0.87  18034328
           1       0.53      0.56      0.55   5083660

    accuracy                           0.80  23117988
   macro avg       0.70      0.71      0.71  23117988
weighted avg       0.80      0.80      0.80  23117988

Accuracy: 0.7950931543004521

              precision    recall  f1-score   support

           0       0.69      0.73      0.71   5044441
           1       0.61      0.57      0.59   3812372

    accuracy                           0.66   8856813
   macro avg       0.65      0.65      0.65   8856813
weighted avg       0.66      0.66      0.66   8856813

Accuracy: 0.6613883571889798

20-40%

              precision    recall  f1-score   support

           0       0.47      0.67      0.55   2995598
           1       0.77      0.59      0.67   5583215

    accuracy                           0.62   8578813
   macro avg       0.62      0.63      0.61   8578813
weighted avg       0.66      0.62      0.62   8578813

Accuracy: 0.6159384754044644

              precision    recall  f1-score   support

           0       0.79      0.83      0.81  21029926
           1       0.64      0.58      0.60  10666875

    accuracy                           0.75  31696801
   macro avg       0.72      0.70      0.71  31696801
weighted avg       0.74      0.75      0.74  31696801

Accuracy: 0.7466045232766549

40-80%

              precision    recall  f1-score   support

           0       0.29      0.64      0.39   1295061
           1       0.86      0.59      0.70   5001564

    accuracy                           0.60   6296625
   macro avg       0.57      0.61      0.55   6296625
weighted avg       0.74      0.60      0.64   6296625

Accuracy: 0.5965116232902546

              precision    recall  f1-score   support

           0       0.74      0.82      0.78  22324987
           1       0.70      0.58      0.63  15668439

    accuracy                           0.72  37993426
   macro avg       0.72      0.70      0.70  37993426
weighted avg       0.72      0.72      0.72  37993426

Accuracy: 0.7217297276639385

80-90%

              precision    recall  f1-score   support

           0       0.20      0.63      0.31    117971
           1       0.90      0.58      0.71    692761

    accuracy                           0.59    810732
   macro avg       0.55      0.61      0.51    810732
weighted avg       0.80      0.59      0.65    810732

Accuracy: 0.5877367613465362

90-100%

              precision    recall  f1-score   support

           0       0.19      0.63      0.29     88944
           1       0.91      0.58      0.71    577496

    accuracy                           0.59    666440
   macro avg       0.55      0.61      0.50    666440
weighted avg       0.81      0.59      0.65    666440

Accuracy: 0.586579437008583

LR_7_id

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.82      0.75      0.79  28055468
           1       0.71      0.79      0.75  21729815

    accuracy                           0.77  49785283
   macro avg       0.77      0.77      0.77  49785283
weighted avg       0.77      0.77      0.77  49785283

Accuracy: 0.7691047573235649

              precision    recall  f1-score   support

           0       0.82      0.75      0.79  28055468
           1       0.71      0.79      0.75  21729815

    accuracy                           0.77  49785283
   macro avg       0.77      0.77      0.77  49785283
weighted avg       0.77      0.77      0.77  49785283

Accuracy: 0.7691047573235649

0-1%

              precision    recall  f1-score   support

           0       0.82      0.76      0.79  27764588
           1       0.65      0.73      0.69  17098553

    accuracy                           0.75  44863141
   macro avg       0.74      0.75      0.74  44863141
weighted avg       0.76      0.75      0.75  44863141

Accuracy: 0.7503009207491735

1-10%

              precision    recall  f1-score   support

           0       0.09      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.93   4452351
   macro avg       0.51      0.50      0.48   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.9349593057690195

10-20%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935

20-40%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.82      0.75      0.78  26119367
           1       0.73      0.80      0.76  21615229

    accuracy                           0.77  47734596
   macro avg       0.77      0.78      0.77  47734596
weighted avg       0.78      0.77      0.77  47734596

Accuracy: 0.774405653291797

              precision    recall  f1-score   support

           0       0.82      0.75      0.78  26119367
           1       0.73      0.80      0.76  21615229

    accuracy                           0.77  47734596
   macro avg       0.77      0.78      0.77  47734596
weighted avg       0.78      0.77      0.77  47734596

Accuracy: 0.774405653291797

0-1%

              precision    recall  f1-score   support

           0       0.96      0.99      0.97  12053010
           1       0.22      0.09      0.13    508421

    accuracy                           0.95  12561431
   macro avg       0.59      0.54      0.55  12561431
weighted avg       0.93      0.95      0.94  12561431

Accuracy: 0.9506570549167527

1-10%

              precision    recall  f1-score   support

           0       0.67      0.58      0.62  13368467
           1       0.65      0.74      0.69  14466820

    accuracy                           0.66  27835287
   macro avg       0.66      0.66      0.66  27835287
weighted avg       0.66      0.66      0.66  27835287

Accuracy: 0.6607267243193864

10-20%

              precision    recall  f1-score   support

           0       0.27      0.01      0.02    503365
           1       0.87      1.00      0.93   3387274

    accuracy                           0.87   3890639
   macro avg       0.57      0.50      0.47   3890639
weighted avg       0.79      0.87      0.81   3890639

Accuracy: 0.868776311551907

20-40%

              precision    recall  f1-score   support

           0       0.51      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.72      0.50      0.48   2117913
weighted avg       0.90      0.93      0.90   2117913

Accuracy: 0.9303621064699069

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.98     99395
   macro avg       0.49      0.50      0.49     99395
weighted avg       0.95      0.98      0.97     99395

Accuracy: 0.9765782987071784

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.83      0.75      0.79  24893266
           1       0.73      0.81      0.77  20563095

    accuracy                           0.78  45456361
   macro avg       0.78      0.78      0.78  45456361
weighted avg       0.78      0.78      0.78  45456361

Accuracy: 0.7766741160824554

              precision    recall  f1-score   support

           0       0.83      0.75      0.79  24893266
           1       0.73      0.81      0.77  20563095

    accuracy                           0.78  45456361
   macro avg       0.78      0.78      0.78  45456361
weighted avg       0.78      0.78      0.78  45456361

Accuracy: 0.7766741160824554

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.09      0.02      0.03      3872

    accuracy                           1.00   4877461
   macro avg       0.54      0.51      0.52   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9990601667547931

1-10%

              precision    recall  f1-score   support

           0       0.79      0.80      0.79  16949103
           1       0.57      0.56      0.56   8016772

    accuracy                           0.72  24965875
   macro avg       0.68      0.68      0.68  24965875
weighted avg       0.72      0.72      0.72  24965875

Accuracy: 0.7211653907583851

10-20%

              precision    recall  f1-score   support

           0       0.42      0.13      0.20   2057494
           1       0.74      0.93      0.83   5461156

    accuracy                           0.71   7518650
   macro avg       0.58      0.53      0.51   7518650
weighted avg       0.65      0.71      0.65   7518650

Accuracy: 0.7134634542105298

20-40%

              precision    recall  f1-score   support

           0       0.32      0.02      0.04    744974
           1       0.85      0.99      0.91   4060539

    accuracy                           0.84   4805513
   macro avg       0.58      0.51      0.48   4805513
weighted avg       0.77      0.84      0.78   4805513

Accuracy: 0.8411586858676691

40-80%

              precision    recall  f1-score   support

           0       0.69      0.00      0.00    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.80      0.50      0.48   2719684
weighted avg       0.89      0.91      0.87   2719684

Accuracy: 0.9133101492673413

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.85      0.74      0.79  22531902
           1       0.71      0.82      0.76  16938696

    accuracy                           0.78  39470598
   macro avg       0.78      0.78      0.78  39470598
weighted avg       0.79      0.78      0.78  39470598

Accuracy: 0.7763523876684107

              precision    recall  f1-score   support

           0       0.85      0.74      0.79  22531902
           1       0.71      0.82      0.76  16938696

    accuracy                           0.78  39470598
   macro avg       0.78      0.78      0.78  39470598
weighted avg       0.79      0.78      0.78  39470598

Accuracy: 0.7763523876684107

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0

1-10%

              precision    recall  f1-score   support

           0       0.92      0.97      0.94  11439888
           1       0.45      0.25      0.32   1271288

    accuracy                           0.89  12711176
   macro avg       0.69      0.61      0.63  12711176
weighted avg       0.87      0.89      0.88  12711176

Accuracy: 0.8945495680336737

10-20%

              precision    recall  f1-score   support

           0       0.71      0.65      0.68   5044441
           1       0.58      0.64      0.61   3812372

    accuracy                           0.65   8856813
   macro avg       0.64      0.65      0.64   8856813
weighted avg       0.65      0.65      0.65   8856813

Accuracy: 0.6475557291319124

20-40%

              precision    recall  f1-score   support

           0       0.56      0.25      0.35   2995598
           1       0.69      0.89      0.78   5583215

    accuracy                           0.67   8578813
   macro avg       0.62      0.57      0.56   8578813
weighted avg       0.64      0.67      0.63   8578813

Accuracy: 0.6683956160368573

40-80%

              precision    recall  f1-score   support

           0       0.43      0.05      0.09   1295061
           1       0.80      0.98      0.88   5001564

    accuracy                           0.79   6296625
   macro avg       0.62      0.52      0.48   6296625
weighted avg       0.72      0.79      0.72   6296625

Accuracy: 0.7912060826236277

80-90%

              precision    recall  f1-score   support

           0       0.68      0.01      0.02    117971
           1       0.86      1.00      0.92    692761

    accuracy                           0.86    810732
   macro avg       0.77      0.50      0.47    810732
weighted avg       0.83      0.86      0.79    810732

Accuracy: 0.8551629885091497

90-100%

              precision    recall  f1-score   support

           0       0.75      0.00      0.01     88944
           1       0.87      1.00      0.93    577496

    accuracy                           0.87    666440
   macro avg       0.81      0.50      0.47    666440
weighted avg       0.85      0.87      0.81    666440

Accuracy: 0.866934757817658

LR_7_w_0_5

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.68      0.90      0.77  28055468
           1       0.77      0.45      0.57  21729815

    accuracy                           0.70  49785283
   macro avg       0.73      0.67      0.67  49785283
weighted avg       0.72      0.70      0.68  49785283

Accuracy: 0.7030010254235173

              precision    recall  f1-score   support

           0       0.68      0.90      0.77  28055468
           1       0.77      0.45      0.57  21729815

    accuracy                           0.70  49785283
   macro avg       0.73      0.67      0.67  49785283
weighted avg       0.72      0.70      0.68  49785283

Accuracy: 0.7030010455097745

0-1%

              precision    recall  f1-score   support

           0       0.69      0.90      0.78  27764588
           1       0.69      0.34      0.45  17098553

    accuracy                           0.69  44863141
   macro avg       0.69      0.62      0.62  44863141
weighted avg       0.69      0.69      0.66  44863141

Accuracy: 0.689385680775227

              precision    recall  f1-score   support

           0       0.69      0.90      0.78  27764588
           1       0.69      0.34      0.45  17098553

    accuracy                           0.69  44863141
   macro avg       0.69      0.62      0.62  44863141
weighted avg       0.69      0.69      0.66  44863141

Accuracy: 0.689385680775227

1-10%

              precision    recall  f1-score   support

           0       0.08      0.18      0.11    287564
           1       0.94      0.86      0.90   4164787

    accuracy                           0.82   4452351
   macro avg       0.51      0.52      0.51   4452351
weighted avg       0.88      0.82      0.85   4452351

Accuracy: 0.8183328313513467

              precision    recall  f1-score   support

           0       0.68      0.90      0.77  28052152
           1       0.77      0.44      0.56  21263340

    accuracy                           0.70  49315492
   macro avg       0.72      0.67      0.67  49315492
weighted avg       0.72      0.70      0.68  49315492

Accuracy: 0.7010273972324964

10-20%

              precision    recall  f1-score   support

           0       0.01      0.07      0.02      2455
           1       0.99      0.94      0.96    257616

    accuracy                           0.93    260071
   macro avg       0.50      0.50      0.49    260071
weighted avg       0.98      0.93      0.95    260071

Accuracy: 0.9290924401413461

              precision    recall  f1-score   support

           0       0.68      0.90      0.77  28054607
           1       0.77      0.45      0.57  21520956

    accuracy                           0.70  49575563
   macro avg       0.72      0.67      0.67  49575563
weighted avg       0.72      0.70      0.68  49575563

Accuracy: 0.7022238153906593

20-40%

              precision    recall  f1-score   support

           0       0.68      0.90      0.77  28055266
           1       0.77      0.45      0.57  21651524

    accuracy                           0.70  49706790
   macro avg       0.73      0.67      0.67  49706790
weighted avg       0.72      0.70      0.68  49706790

Accuracy: 0.7027602868742882

              precision    recall  f1-score   support

           0       0.01      0.12      0.01       659
           1       1.00      0.91      0.95    130568

    accuracy                           0.91    131227
   macro avg       0.50      0.51      0.48    131227
weighted avg       0.99      0.91      0.95    131227

Accuracy: 0.9054386673474208

40-80%

              precision    recall  f1-score   support

           0       0.00      0.20      0.01       169
           1       1.00      0.86      0.92     65234

    accuracy                           0.86     65403
   macro avg       0.50      0.53      0.47     65403
weighted avg       1.00      0.86      0.92     65403

Accuracy: 0.8598841031756953

              precision    recall  f1-score   support

           0       0.68      0.90      0.77  28055435
           1       0.77      0.45      0.57  21716758

    accuracy                           0.70  49772193
   macro avg       0.73      0.67      0.67  49772193
weighted avg       0.72      0.70      0.68  49772193

Accuracy: 0.702966754950902

80-90%

              precision    recall  f1-score   support

           0       0.00      0.13      0.00        15
           1       1.00      0.83      0.91      7371

    accuracy                           0.83      7386
   macro avg       0.50      0.48      0.46      7386
weighted avg       1.00      0.83      0.91      7386

Accuracy: 0.8323855943677227

90-100%

              precision    recall  f1-score   support

           0       0.01      0.33      0.01        18
           1       1.00      0.84      0.91      5686

    accuracy                           0.83      5704
   macro avg       0.50      0.58      0.46      5704
weighted avg       0.99      0.83      0.91      5704

Accuracy: 0.8343267882187938

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.69      0.86      0.77  26119367
           1       0.76      0.53      0.63  21615229

    accuracy                           0.71  47734596
   macro avg       0.73      0.70      0.70  47734596
weighted avg       0.72      0.71      0.70  47734596

Accuracy: 0.7137907064301958

              precision    recall  f1-score   support

           0       0.69      0.86      0.77  26119367
           1       0.76      0.53      0.63  21615229

    accuracy                           0.71  47734596
   macro avg       0.73      0.70      0.70  47734596
weighted avg       0.72      0.71      0.70  47734596

Accuracy: 0.7137907064301958

0-1%

              precision    recall  f1-score   support

           0       0.96      0.98      0.97  12053010
           1       0.15      0.07      0.10    508421

    accuracy                           0.95  12561431
   macro avg       0.56      0.53      0.53  12561431
weighted avg       0.93      0.95      0.94  12561431

Accuracy: 0.9457716242679676

              precision    recall  f1-score   support

           0       0.96      0.98      0.97  12053010
           1       0.15      0.07      0.10    508421

    accuracy                           0.95  12561431
   macro avg       0.56      0.53      0.53  12561431
weighted avg       0.93      0.95      0.94  12561431

Accuracy: 0.9457716242679676

1-10%

              precision    recall  f1-score   support

           0       0.72      0.88      0.79  25421477
           1       0.67      0.41      0.50  14975241

    accuracy                           0.70  40396718
   macro avg       0.69      0.64      0.65  40396718
weighted avg       0.70      0.70      0.68  40396718

Accuracy: 0.7044882458025427

              precision    recall  f1-score   support

           0       0.56      0.79      0.65  13368467
           1       0.68      0.42      0.52  14466820

    accuracy                           0.60  27835287
   macro avg       0.62      0.60      0.58  27835287
weighted avg       0.62      0.60      0.58  27835287

Accuracy: 0.5956025529752935

10-20%

              precision    recall  f1-score   support

           0       0.17      0.28      0.21    503365
           1       0.88      0.79      0.84   3387274

    accuracy                           0.73   3890639
   macro avg       0.53      0.54      0.52   3890639
weighted avg       0.79      0.73      0.76   3890639

Accuracy: 0.7284883023071531

20-40%

              precision    recall  f1-score   support

           0       0.69      0.87      0.77  26072330
           1       0.75      0.51      0.61  20332940

    accuracy                           0.71  46405270
   macro avg       0.72      0.69      0.69  46405270
weighted avg       0.72      0.71      0.70  46405270

Accuracy: 0.7106556863045943

              precision    recall  f1-score   support

           0       0.10      0.23      0.14    147488
           1       0.94      0.84      0.88   1970425

    accuracy                           0.80   2117913
   macro avg       0.52      0.53      0.51   2117913
weighted avg       0.88      0.80      0.83   2117913

Accuracy: 0.7955336220137466

40-80%

              precision    recall  f1-score   support

           0       0.69      0.86      0.77  26113946
           1       0.76      0.53      0.62  21397219

    accuracy                           0.71  47511165
   macro avg       0.73      0.70      0.70  47511165
weighted avg       0.72      0.71      0.70  47511165

Accuracy: 0.71325651560007

              precision    recall  f1-score   support

           0       0.05      0.22      0.09     41616
           1       0.97      0.85      0.90   1064279

    accuracy                           0.82   1105895
   macro avg       0.51      0.53      0.49   1105895
weighted avg       0.93      0.82      0.87   1105895

Accuracy: 0.8223918183914386

80-90%

              precision    recall  f1-score   support

           0       0.04      0.23      0.06      3093
           1       0.98      0.84      0.90    120943

    accuracy                           0.83    124036
   macro avg       0.51      0.54      0.48    124036
weighted avg       0.95      0.83      0.88    124036

Accuracy: 0.8269776516495211

90-100%

              precision    recall  f1-score   support

           0       0.03      0.22      0.06      2328
           1       0.98      0.84      0.91     97067

    accuracy                           0.83     99395
   macro avg       0.51      0.53      0.48     99395
weighted avg       0.96      0.83      0.89     99395

Accuracy: 0.8278887267971226

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.69      0.86      0.77  24893266
           1       0.77      0.54      0.63  20563095

    accuracy                           0.72  45456361
   macro avg       0.73      0.70      0.70  45456361
weighted avg       0.73      0.72      0.71  45456361

Accuracy: 0.7155266124360461

              precision    recall  f1-score   support

           0       0.69      0.86      0.77  24893266
           1       0.77      0.54      0.63  20563095

    accuracy                           0.72  45456361
   macro avg       0.73      0.70      0.70  45456361
weighted avg       0.73      0.72      0.71  45456361

Accuracy: 0.7155266124360461

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.02      0.04      0.02      3872

    accuracy                           1.00   4877461
   macro avg       0.51      0.52      0.51   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9976573877269341

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.02      0.04      0.02      3872

    accuracy                           1.00   4877461
   macro avg       0.51      0.52      0.51   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9976573877269341

1-10%

              precision    recall  f1-score   support

           0       0.78      0.92      0.84  21822692
           1       0.56      0.28      0.37   8020644

    accuracy                           0.75  29843336
   macro avg       0.67      0.60      0.61  29843336
weighted avg       0.72      0.75      0.71  29843336

Accuracy: 0.7463125771193945

              precision    recall  f1-score   support

           0       0.72      0.90      0.80  16949103
           1       0.56      0.28      0.37   8016772

    accuracy                           0.70  24965875
   macro avg       0.64      0.59      0.59  24965875
weighted avg       0.67      0.70      0.66  24965875

Accuracy: 0.6972085696976372

10-20%

              precision    recall  f1-score   support

           0       0.73      0.89      0.80  23880186
           1       0.67      0.41      0.51  13481800

    accuracy                           0.72  37361986
   macro avg       0.70      0.65      0.66  37361986
weighted avg       0.71      0.72      0.70  37361986

Accuracy: 0.7150326002477492

              precision    recall  f1-score   support

           0       0.34      0.53      0.42   2057494
           1       0.78      0.61      0.68   5461156

    accuracy                           0.59   7518650
   macro avg       0.56      0.57      0.55   7518650
weighted avg       0.66      0.59      0.61   7518650

Accuracy: 0.590874824602821

20-40%

              precision    recall  f1-score   support

           0       0.71      0.87      0.78  24625160
           1       0.73      0.49      0.59  17542339

    accuracy                           0.71  42167499
   macro avg       0.72      0.68      0.68  42167499
weighted avg       0.72      0.71      0.70  42167499

Accuracy: 0.7124445772797671

              precision    recall  f1-score   support

           0       0.22      0.38      0.28    744974
           1       0.87      0.75      0.80   4060539

    accuracy                           0.69   4805513
   macro avg       0.54      0.57      0.54   4805513
weighted avg       0.77      0.69      0.72   4805513

Accuracy: 0.6923231713242686

40-80%

              precision    recall  f1-score   support

           0       0.69      0.86      0.77  24861069
           1       0.76      0.53      0.62  20026114

    accuracy                           0.71  44887183
   macro avg       0.73      0.70      0.70  44887183
weighted avg       0.72      0.71      0.70  44887183

Accuracy: 0.7147739255546511

              precision    recall  f1-score   support

           0       0.13      0.33      0.19    235909
           1       0.93      0.79      0.85   2483775

    accuracy                           0.75   2719684
   macro avg       0.53      0.56      0.52   2719684
weighted avg       0.86      0.75      0.80   2719684

Accuracy: 0.7508894415674762

80-90%

              precision    recall  f1-score   support

           0       0.09      0.31      0.14     18577
           1       0.95      0.80      0.87    296772

    accuracy                           0.77    315349
   macro avg       0.52      0.56      0.50    315349
weighted avg       0.90      0.77      0.83    315349

Accuracy: 0.7722935541257464

90-100%

              precision    recall  f1-score   support

           0       0.08      0.31      0.13     13620
           1       0.95      0.80      0.87    240209

    accuracy                           0.78    253829
   macro avg       0.52      0.56      0.50    253829
weighted avg       0.91      0.78      0.83    253829

Accuracy: 0.778106520531539

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.70      0.89      0.78  22531902
           1       0.77      0.50      0.60  16938696

    accuracy                           0.72  39470598
   macro avg       0.73      0.69      0.69  39470598
weighted avg       0.73      0.72      0.71  39470598

Accuracy: 0.7202673493824441

              precision    recall  f1-score   support

           0       0.70      0.89      0.78  22531902
           1       0.77      0.50      0.60  16938696

    accuracy                           0.72  39470598
   macro avg       0.73      0.69      0.69  39470598
weighted avg       0.73      0.72      0.71  39470598

Accuracy: 0.7202673493824441

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0

1-10%

              precision    recall  f1-score   support

           0       0.92      0.98      0.95  12989887
           1       0.39      0.15      0.21   1271288

    accuracy                           0.90  14261175
   macro avg       0.66      0.56      0.58  14261175
weighted avg       0.87      0.90      0.88  14261175

Accuracy: 0.9034285744337336

              precision    recall  f1-score   support

           0       0.91      0.97      0.94  11439888
           1       0.39      0.15      0.21   1271288

    accuracy                           0.89  12711176
   macro avg       0.65      0.56      0.58  12711176
weighted avg       0.86      0.89      0.87  12711176

Accuracy: 0.8916526684863777

10-20%

              precision    recall  f1-score   support

           0       0.63      0.85      0.72   5044441
           1       0.63      0.33      0.43   3812372

    accuracy                           0.63   8856813
   macro avg       0.63      0.59      0.58   8856813
weighted avg       0.63      0.63      0.60   8856813

Accuracy: 0.6262790012615147

20-40%

              precision    recall  f1-score   support

           0       0.45      0.70      0.55   2995598
           1       0.77      0.54      0.63   5583215

    accuracy                           0.60   8578813
   macro avg       0.61      0.62      0.59   8578813
weighted avg       0.66      0.60      0.60   8578813

Accuracy: 0.5955716717452636

              precision    recall  f1-score   support

           0       0.75      0.91      0.82  21029926
           1       0.70      0.42      0.52  10666875

    accuracy                           0.74  31696801
   macro avg       0.73      0.66      0.67  31696801
weighted avg       0.73      0.74      0.72  31696801

Accuracy: 0.7426644411213611

40-80%

              precision    recall  f1-score   support

           0       0.30      0.59      0.39   1295061
           1       0.86      0.63      0.73   5001564

    accuracy                           0.62   6296625
   macro avg       0.58      0.61      0.56   6296625
weighted avg       0.74      0.62      0.66   6296625

Accuracy: 0.6249995831099994

              precision    recall  f1-score   support

           0       0.71      0.89      0.79  22324987
           1       0.76      0.49      0.59  15668439

    accuracy                           0.72  37993426
   macro avg       0.73      0.69      0.69  37993426
weighted avg       0.73      0.72      0.71  37993426

Accuracy: 0.7231639231481783

80-90%

              precision    recall  f1-score   support

           0       0.22      0.56      0.31    117971
           1       0.90      0.66      0.76    692761

    accuracy                           0.64    810732
   macro avg       0.56      0.61      0.54    810732
weighted avg       0.80      0.64      0.69    810732

Accuracy: 0.6425822589955744

90-100%

              precision    recall  f1-score   support

           0       0.20      0.55      0.30     88944
           1       0.91      0.66      0.77    577496

    accuracy                           0.65    666440
   macro avg       0.55      0.61      0.53    666440
weighted avg       0.81      0.65      0.70    666440

Accuracy: 0.6496398775583698

LR_7_w_0_75

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.75      0.79      0.77  28055468
           1       0.71      0.66      0.69  21729815

    accuracy                           0.73  49785283
   macro avg       0.73      0.73      0.73  49785283
weighted avg       0.73      0.73      0.73  49785283

Accuracy: 0.7336467485782897

              precision    recall  f1-score   support

           0       0.75      0.79      0.77  28055468
           1       0.71      0.66      0.69  21729815

    accuracy                           0.73  49785283
   macro avg       0.73      0.73      0.73  49785283
weighted avg       0.73      0.73      0.73  49785283

Accuracy: 0.7336467284920325

0-1%

              precision    recall  f1-score   support

           0       0.76      0.79      0.78  27764588
           1       0.64      0.59      0.61  17098553

    accuracy                           0.71  44863141
   macro avg       0.70      0.69      0.69  44863141
weighted avg       0.71      0.71      0.71  44863141

Accuracy: 0.7149236385388175

              precision    recall  f1-score   support

           0       0.76      0.79      0.78  27764588
           1       0.64      0.59      0.61  17098553

    accuracy                           0.71  44863141
   macro avg       0.70      0.69      0.69  44863141
weighted avg       0.71      0.71      0.71  44863141

Accuracy: 0.7149236385388175

1-10%

              precision    recall  f1-score   support

           0       0.09      0.06      0.08    287564
           1       0.94      0.96      0.95   4164787

    accuracy                           0.90   4452351
   macro avg       0.51      0.51      0.51   4452351
weighted avg       0.88      0.90      0.89   4452351

Accuracy: 0.8977537934453056

              precision    recall  f1-score   support

           0       0.75      0.79      0.77  28052152
           1       0.70      0.66      0.68  21263340

    accuracy                           0.73  49315492
   macro avg       0.73      0.72      0.72  49315492
weighted avg       0.73      0.73      0.73  49315492

Accuracy: 0.7314300950297727

10-20%

              precision    recall  f1-score   support

           0       0.01      0.03      0.02      2455
           1       0.99      0.98      0.99    257616

    accuracy                           0.97    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.97      0.98    260071

Accuracy: 0.9714308784908736

              precision    recall  f1-score   support

           0       0.75      0.79      0.77  28054607
           1       0.70      0.66      0.68  21520956

    accuracy                           0.73  49575563
   macro avg       0.73      0.72      0.73  49575563
weighted avg       0.73      0.73      0.73  49575563

Accuracy: 0.7326891275042101

20-40%

              precision    recall  f1-score   support

           0       0.75      0.79      0.77  28055266
           1       0.71      0.66      0.68  21651524

    accuracy                           0.73  49706790
   macro avg       0.73      0.73      0.73  49706790
weighted avg       0.73      0.73      0.73  49706790

Accuracy: 0.7333072604366526

              precision    recall  f1-score   support

           0       0.01      0.04      0.01       659
           1       1.00      0.97      0.98    130568

    accuracy                           0.97    131227
   macro avg       0.50      0.51      0.50    131227
weighted avg       0.99      0.97      0.98    131227

Accuracy: 0.9668284727990428

40-80%

              precision    recall  f1-score   support

           0       0.01      0.09      0.01       169
           1       1.00      0.95      0.97     65234

    accuracy                           0.95     65403
   macro avg       0.50      0.52      0.49     65403
weighted avg       0.99      0.95      0.97     65403

Accuracy: 0.9506444658501904

              precision    recall  f1-score   support

           0       0.75      0.79      0.77  28055435
           1       0.71      0.66      0.69  21716758

    accuracy                           0.73  49772193
   macro avg       0.73      0.73      0.73  49772193
weighted avg       0.73      0.73      0.73  49772193

Accuracy: 0.7335928517355063

80-90%

              precision    recall  f1-score   support

           0       0.00      0.07      0.00        15
           1       1.00      0.94      0.97      7371

    accuracy                           0.94      7386
   macro avg       0.50      0.50      0.49      7386
weighted avg       1.00      0.94      0.97      7386

Accuracy: 0.9388031410777146

90-100%

              precision    recall  f1-score   support

           0       0.01      0.22      0.02        18
           1       1.00      0.94      0.97      5686

    accuracy                           0.94      5704
   macro avg       0.50      0.58      0.50      5704
weighted avg       0.99      0.94      0.97      5704

Accuracy: 0.9381136044880786

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.76      0.76      0.76  26119367
           1       0.71      0.72      0.71  21615229

    accuracy                           0.74  47734596
   macro avg       0.74      0.74      0.74  47734596
weighted avg       0.74      0.74      0.74  47734596

Accuracy: 0.7399913262070973

              precision    recall  f1-score   support

           0       0.76      0.76      0.76  26119367
           1       0.71      0.72      0.71  21615229

    accuracy                           0.74  47734596
   macro avg       0.74      0.74      0.74  47734596
weighted avg       0.74      0.74      0.74  47734596

Accuracy: 0.7399913471562638

0-1%

              precision    recall  f1-score   support

           0       0.96      0.96      0.96  12053010
           1       0.12      0.14      0.13    508421

    accuracy                           0.92  12561431
   macro avg       0.54      0.55      0.54  12561431
weighted avg       0.93      0.92      0.93  12561431

Accuracy: 0.9220558549420046

              precision    recall  f1-score   support

           0       0.96      0.96      0.96  12053010
           1       0.12      0.14      0.13    508421

    accuracy                           0.92  12561431
   macro avg       0.54      0.55      0.54  12561431
weighted avg       0.93      0.92      0.93  12561431

Accuracy: 0.9220558549420046

1-10%

              precision    recall  f1-score   support

           0       0.78      0.78      0.78  25421477
           1       0.62      0.62      0.62  14975241

    accuracy                           0.72  40396718
   macro avg       0.70      0.70      0.70  40396718
weighted avg       0.72      0.72      0.72  40396718

Accuracy: 0.7203608223816598

              precision    recall  f1-score   support

           0       0.61      0.62      0.62  13368467
           1       0.64      0.64      0.64  14466820

    accuracy                           0.63  27835287
   macro avg       0.63      0.63      0.63  27835287
weighted avg       0.63      0.63      0.63  27835287

Accuracy: 0.6293404124053041

10-20%

              precision    recall  f1-score   support

           0       0.77      0.77      0.77  25924842
           1       0.67      0.68      0.67  18362515

    accuracy                           0.73  44287357
   macro avg       0.72      0.72      0.72  44287357
weighted avg       0.73      0.73      0.73  44287357

Accuracy: 0.7285565042863136

              precision    recall  f1-score   support

           0       0.18      0.13      0.15    503365
           1       0.88      0.92      0.90   3387274

    accuracy                           0.81   3890639
   macro avg       0.53      0.52      0.52   3890639
weighted avg       0.79      0.81      0.80   3890639

Accuracy: 0.8136527187436305

20-40%

              precision    recall  f1-score   support

           0       0.77      0.76      0.76  26072330
           1       0.70      0.70      0.70  20332940

    accuracy                           0.74  46405270
   macro avg       0.73      0.73      0.73  46405270
weighted avg       0.74      0.74      0.74  46405270

Accuracy: 0.7352348343194641

              precision    recall  f1-score   support

           0       0.10      0.10      0.10    147488
           1       0.93      0.93      0.93   1970425

    accuracy                           0.87   2117913
   macro avg       0.52      0.52      0.52   2117913
weighted avg       0.88      0.87      0.87   2117913

Accuracy: 0.8748843791033909

40-80%

              precision    recall  f1-score   support

           0       0.06      0.10      0.07     41616
           1       0.96      0.94      0.95   1064279

    accuracy                           0.90   1105895
   macro avg       0.51      0.52      0.51   1105895
weighted avg       0.93      0.90      0.92   1105895

Accuracy: 0.9042368398446508

80-90%

              precision    recall  f1-score   support

           0       0.04      0.11      0.06      3093
           1       0.98      0.93      0.96    120943

    accuracy                           0.91    124036
   macro avg       0.51      0.52      0.51    124036
weighted avg       0.95      0.91      0.93    124036

Accuracy: 0.9142910122867555

90-100%

              precision    recall  f1-score   support

           0       0.04      0.11      0.06      2328
           1       0.98      0.94      0.96     97067

    accuracy                           0.92     99395
   macro avg       0.51      0.52      0.51     99395
weighted avg       0.96      0.92      0.93     99395

Accuracy: 0.9157502892499623

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.76      0.76      0.76  24893266
           1       0.71      0.71      0.71  20563095

    accuracy                           0.74  45456361
   macro avg       0.74      0.74      0.74  45456361
weighted avg       0.74      0.74      0.74  45456361

Accuracy: 0.7417637324729975

              precision    recall  f1-score   support

           0       0.76      0.76      0.76  24893266
           1       0.71      0.71      0.71  20563095

    accuracy                           0.74  45456361
   macro avg       0.74      0.74      0.74  45456361
weighted avg       0.74      0.74      0.74  45456361

Accuracy: 0.7417637324729975

0-1%

              precision    recall  f1-score   support

           0       1.00      0.99      1.00   4873589
           1       0.01      0.06      0.02      3872

    accuracy                           0.99   4877461
   macro avg       0.50      0.53      0.51   4877461
weighted avg       1.00      0.99      1.00   4877461

Accuracy: 0.9933961542696087

              precision    recall  f1-score   support

           0       1.00      0.99      1.00   4873589
           1       0.01      0.06      0.02      3872

    accuracy                           0.99   4877461
   macro avg       0.50      0.53      0.51   4877461
weighted avg       1.00      0.99      1.00   4877461

Accuracy: 0.9933961542696087

1-10%

              precision    recall  f1-score   support

           0       0.81      0.84      0.82  21822692
           1       0.52      0.48      0.50   8020644

    accuracy                           0.74  29843336
   macro avg       0.67      0.66      0.66  29843336
weighted avg       0.73      0.74      0.74  29843336

Accuracy: 0.7402165428154547

              precision    recall  f1-score   support

           0       0.76      0.79      0.78  16949103
           1       0.52      0.48      0.50   8016772

    accuracy                           0.69  24965875
   macro avg       0.64      0.64      0.64  24965875
weighted avg       0.69      0.69      0.69  24965875

Accuracy: 0.6907540793182695

10-20%

              precision    recall  f1-score   support

           0       0.79      0.79      0.79  23880186
           1       0.62      0.62      0.62  13481800

    accuracy                           0.73  37361986
   macro avg       0.71      0.70      0.71  37361986
weighted avg       0.73      0.73      0.73  37361986

Accuracy: 0.728249563607245

              precision    recall  f1-score   support

           0       0.39      0.30      0.34   2057494
           1       0.76      0.83      0.79   5461156

    accuracy                           0.68   7518650
   macro avg       0.57      0.56      0.56   7518650
weighted avg       0.66      0.68      0.67   7518650

Accuracy: 0.6807497356573321

20-40%

              precision    recall  f1-score   support

           0       0.77      0.77      0.77  24625160
           1       0.68      0.68      0.68  17542339

    accuracy                           0.73  42167499
   macro avg       0.73      0.73      0.73  42167499
weighted avg       0.73      0.73      0.73  42167499

Accuracy: 0.7338795691914287

              precision    recall  f1-score   support

           0       0.24      0.20      0.22    744974
           1       0.86      0.88      0.87   4060539

    accuracy                           0.78   4805513
   macro avg       0.55      0.54      0.54   4805513
weighted avg       0.76      0.78      0.77   4805513

Accuracy: 0.7776518344659561

40-80%

              precision    recall  f1-score   support

           0       0.77      0.76      0.77  24861069
           1       0.71      0.71      0.71  20026114

    accuracy                           0.74  44887183
   macro avg       0.74      0.74      0.74  44887183
weighted avg       0.74      0.74      0.74  44887183

Accuracy: 0.7401968397081189

              precision    recall  f1-score   support

           0       0.14      0.17      0.15    235909
           1       0.92      0.90      0.91   2483775

    accuracy                           0.84   2719684
   macro avg       0.53      0.53      0.53   2719684
weighted avg       0.85      0.84      0.84   2719684

Accuracy: 0.8381433284160954

80-90%

              precision    recall  f1-score   support

           0       0.10      0.16      0.12     18577
           1       0.95      0.91      0.93    296772

    accuracy                           0.86    315349
   macro avg       0.52      0.53      0.52    315349
weighted avg       0.90      0.86      0.88    315349

Accuracy: 0.8629772093775467

90-100%

              precision    recall  f1-score   support

           0       0.09      0.16      0.11     13620
           1       0.95      0.91      0.93    240209

    accuracy                           0.87    253829
   macro avg       0.52      0.53      0.52    253829
weighted avg       0.90      0.87      0.89    253829

Accuracy: 0.8682617037454349

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.77      0.80      0.78  22531902
           1       0.72      0.68      0.70  16938696

    accuracy                           0.75  39470598
   macro avg       0.74      0.74      0.74  39470598
weighted avg       0.75      0.75      0.75  39470598

Accuracy: 0.7469072548634809

              precision    recall  f1-score   support

           0       0.77      0.80      0.78  22531902
           1       0.72      0.68      0.70  16938696

    accuracy                           0.75  39470598
   macro avg       0.74      0.74      0.74  39470598
weighted avg       0.75      0.75      0.75  39470598

Accuracy: 0.7469073055341092

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0

1-10%

              precision    recall  f1-score   support

           0       0.93      0.95      0.94  12989887
           1       0.33      0.25      0.28   1271288

    accuracy                           0.89  14261175
   macro avg       0.63      0.60      0.61  14261175
weighted avg       0.87      0.89      0.88  14261175

Accuracy: 0.8878781727312091

              precision    recall  f1-score   support

           0       0.92      0.94      0.93  11439888
           1       0.33      0.25      0.28   1271288

    accuracy                           0.87  12711176
   macro avg       0.62      0.60      0.61  12711176
weighted avg       0.86      0.87      0.87  12711176

Accuracy: 0.8742061316749922

10-20%

              precision    recall  f1-score   support

           0       0.85      0.88      0.87  18034328
           1       0.53      0.46      0.49   5083660

    accuracy                           0.79  23117988
   macro avg       0.69      0.67      0.68  23117988
weighted avg       0.78      0.79      0.78  23117988

Accuracy: 0.7898850453594837

              precision    recall  f1-score   support

           0       0.67      0.71      0.69   5044441
           1       0.58      0.53      0.55   3812372

    accuracy                           0.63   8856813
   macro avg       0.62      0.62      0.62   8856813
weighted avg       0.63      0.63      0.63   8856813

Accuracy: 0.6320973469802287

20-40%

              precision    recall  f1-score   support

           0       0.50      0.48      0.49   2995598
           1       0.73      0.74      0.74   5583215

    accuracy                           0.65   8578813
   macro avg       0.62      0.61      0.62   8578813
weighted avg       0.65      0.65      0.65   8578813

Accuracy: 0.6532376915081376

40-80%

              precision    recall  f1-score   support

           0       0.33      0.38      0.35   1295061
           1       0.83      0.80      0.82   5001564

    accuracy                           0.72   6296625
   macro avg       0.58      0.59      0.59   6296625
weighted avg       0.73      0.72      0.72   6296625

Accuracy: 0.7153953109800886

              precision    recall  f1-score   support

           0       0.78      0.80      0.79  22324987
           1       0.70      0.67      0.69  15668439

    accuracy                           0.75  37993426
   macro avg       0.74      0.74      0.74  37993426
weighted avg       0.75      0.75      0.75  37993426

Accuracy: 0.7466853081372551

80-90%

              precision    recall  f1-score   support

           0       0.24      0.35      0.29    117971
           1       0.88      0.82      0.85    692761

    accuracy                           0.75    810732
   macro avg       0.56      0.58      0.57    810732
weighted avg       0.79      0.75      0.77    810732

Accuracy: 0.7487714805879131

90-100%

              precision    recall  f1-score   support

           0       0.23      0.34      0.27     88944
           1       0.89      0.82      0.85    577496

    accuracy                           0.76    666440
   macro avg       0.56      0.58      0.56    666440
weighted avg       0.80      0.76      0.78    666440

Accuracy: 0.7572924794430106

LR_8

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28055468
           1       0.64      0.84      0.73  21729815

    accuracy                           0.73  49785283
   macro avg       0.74      0.74      0.73  49785283
weighted avg       0.75      0.73      0.73  49785283

Accuracy: 0.7256453880155708

              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28055468
           1       0.64      0.84      0.73  21729815

    accuracy                           0.73  49785283
   macro avg       0.74      0.74      0.73  49785283
weighted avg       0.75      0.73      0.73  49785283

Accuracy: 0.7256452875842847

0-1%

              precision    recall  f1-score   support

           0       0.84      0.65      0.73  27764588
           1       0.58      0.80      0.67  17098553

    accuracy                           0.70  44863141
   macro avg       0.71      0.72      0.70  44863141
weighted avg       0.74      0.70      0.71  44863141

Accuracy: 0.7027367522037746

              precision    recall  f1-score   support

           0       0.84      0.65      0.73  27764588
           1       0.58      0.80      0.67  17098553

    accuracy                           0.70  44863141
   macro avg       0.71      0.72      0.70  44863141
weighted avg       0.74      0.70      0.71  44863141

Accuracy: 0.70273686365384

1-10%

              precision    recall  f1-score   support

           0       0.10      0.01      0.02    287564
           1       0.94      0.99      0.96   4164787

    accuracy                           0.93   4452351
   macro avg       0.52      0.50      0.49   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.9287387719431823

              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28052152
           1       0.64      0.83      0.72  21263340

    accuracy                           0.72  49315492
   macro avg       0.74      0.74      0.72  49315492
weighted avg       0.75      0.72      0.72  49315492

Accuracy: 0.723140995936936

10-20%

              precision    recall  f1-score   support

           0       0.04      0.01      0.02      2455
           1       0.99      1.00      0.99    257616

    accuracy                           0.99    260071
   macro avg       0.51      0.50      0.51    260071
weighted avg       0.98      0.99      0.98    260071

Accuracy: 0.987464961491285

              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28054607
           1       0.64      0.84      0.73  21520956

    accuracy                           0.72  49575563
   macro avg       0.74      0.74      0.72  49575563
weighted avg       0.75      0.72      0.72  49575563

Accuracy: 0.7245276266454099

20-40%

              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28055266
           1       0.64      0.84      0.73  21651524

    accuracy                           0.73  49706790
   macro avg       0.74      0.74      0.73  49706790
weighted avg       0.75      0.73      0.73  49706790

Accuracy: 0.7252297321955411

              precision    recall  f1-score   support

           0       0.02      0.02      0.02       659
           1       1.00      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.51      0.51      0.51    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.990474521249438

40-80%

              precision    recall  f1-score   support

           0       0.02      0.07      0.03       169
           1       1.00      0.99      0.99     65234

    accuracy                           0.99     65403
   macro avg       0.51      0.53      0.51     65403
weighted avg       1.00      0.99      0.99     65403

Accuracy: 0.989190098313533

              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28055435
           1       0.64      0.84      0.73  21716758

    accuracy                           0.73  49772193
   macro avg       0.74      0.74      0.73  49772193
weighted avg       0.75      0.73      0.73  49772193

Accuracy: 0.7255765885180104

80-90%

              precision    recall  f1-score   support

           0       0.01      0.07      0.02        15
           1       1.00      0.99      0.99      7371

    accuracy                           0.99      7386
   macro avg       0.51      0.53      0.51      7386
weighted avg       1.00      0.99      0.99      7386

Accuracy: 0.9883563498510696

90-100%

              precision    recall  f1-score   support

           0       0.06      0.22      0.09        18
           1       1.00      0.99      0.99      5686

    accuracy                           0.99      5704
   macro avg       0.53      0.61      0.54      5704
weighted avg       0.99      0.99      0.99      5704

Accuracy: 0.9857994389901823

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.83      0.64      0.73  26119367
           1       0.66      0.85      0.74  21615229

    accuracy                           0.73  47734596
   macro avg       0.75      0.74      0.73  47734596
weighted avg       0.76      0.73      0.73  47734596

Accuracy: 0.7341861236240482

              precision    recall  f1-score   support

           0       0.83      0.64      0.73  26119367
           1       0.66      0.85      0.74  21615229

    accuracy                           0.73  47734596
   macro avg       0.75      0.74      0.73  47734596
weighted avg       0.76      0.73      0.73  47734596

Accuracy: 0.7341861236240482

0-1%

              precision    recall  f1-score   support

           0       0.97      0.91      0.94  12053010
           1       0.10      0.23      0.14    508421

    accuracy                           0.88  12561431
   macro avg       0.53      0.57      0.54  12561431
weighted avg       0.93      0.88      0.90  12561431

Accuracy: 0.8826342317208923

              precision    recall  f1-score   support

           0       0.97      0.91      0.94  12053010
           1       0.10      0.23      0.14    508421

    accuracy                           0.88  12561431
   macro avg       0.53      0.57      0.54  12561431
weighted avg       0.93      0.88      0.90  12561431

Accuracy: 0.8826342317208923

1-10%

              precision    recall  f1-score   support

           0       0.84      0.66      0.74  25421477
           1       0.58      0.79      0.67  14975241

    accuracy                           0.71  40396718
   macro avg       0.71      0.72      0.70  40396718
weighted avg       0.74      0.71      0.71  40396718

Accuracy: 0.7066991432323785

              precision    recall  f1-score   support

           0       0.68      0.43      0.53  13368467
           1       0.61      0.81      0.69  14466820

    accuracy                           0.63  27835287
   macro avg       0.64      0.62      0.61  27835287
weighted avg       0.64      0.63      0.61  27835287

Accuracy: 0.6273036451896472

10-20%

              precision    recall  f1-score   support

           0       0.84      0.65      0.73  25924842
           1       0.62      0.82      0.71  18362515

    accuracy                           0.72  44287357
   macro avg       0.73      0.73      0.72  44287357
weighted avg       0.75      0.72      0.72  44287357

Accuracy: 0.7194057437204934

              precision    recall  f1-score   support

           0       0.20      0.05      0.08    503365
           1       0.87      0.97      0.92   3387274

    accuracy                           0.85   3890639
   macro avg       0.54      0.51      0.50   3890639
weighted avg       0.79      0.85      0.81   3890639

Accuracy: 0.8513390730931346

20-40%

              precision    recall  f1-score   support

           0       0.84      0.64      0.73  26072330
           1       0.65      0.84      0.73  20332940

    accuracy                           0.73  46405270
   macro avg       0.74      0.74      0.73  46405270
weighted avg       0.75      0.73      0.73  46405270

Accuracy: 0.7281674904595965

              precision    recall  f1-score   support

           0       0.12      0.04      0.06    147488
           1       0.93      0.98      0.95   1970425

    accuracy                           0.91   2117913
   macro avg       0.53      0.51      0.51   2117913
weighted avg       0.88      0.91      0.89   2117913

Accuracy: 0.9113830454792052

40-80%

              precision    recall  f1-score   support

           0       0.83      0.64      0.73  26113946
           1       0.66      0.84      0.74  21397219

    accuracy                           0.73  47511165
   macro avg       0.75      0.74      0.73  47511165
weighted avg       0.76      0.73      0.73  47511165

Accuracy: 0.7331493976205382

              precision    recall  f1-score   support

           0       0.07      0.05      0.06     41616
           1       0.96      0.98      0.97   1064279

    accuracy                           0.94   1105895
   macro avg       0.52      0.51      0.51   1105895
weighted avg       0.93      0.94      0.94   1105895

Accuracy: 0.9421988525131229

80-90%

              precision    recall  f1-score   support

           0       0.06      0.06      0.06      3093
           1       0.98      0.98      0.98    120943

    accuracy                           0.95    124036
   macro avg       0.52      0.52      0.52    124036
weighted avg       0.95      0.95      0.95    124036

Accuracy: 0.9537311748202135

90-100%

              precision    recall  f1-score   support

           0       0.06      0.06      0.06      2328
           1       0.98      0.98      0.98     97067

    accuracy                           0.96     99395
   macro avg       0.52      0.52      0.52     99395
weighted avg       0.96      0.96      0.96     99395

Accuracy: 0.9557724231601187

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.83      0.65      0.73  24893266
           1       0.66      0.85      0.74  20563095

    accuracy                           0.74  45456361
   macro avg       0.75      0.75      0.74  45456361
weighted avg       0.76      0.74      0.74  45456361

Accuracy: 0.7366924730292422

              precision    recall  f1-score   support

           0       0.83      0.65      0.73  24893266
           1       0.66      0.85      0.74  20563095

    accuracy                           0.74  45456361
   macro avg       0.75      0.75      0.74  45456361
weighted avg       0.76      0.74      0.74  45456361

Accuracy: 0.7366924730292422

0-1%

              precision    recall  f1-score   support

           0       1.00      0.98      0.99   4873589
           1       0.01      0.11      0.01      3872

    accuracy                           0.98   4877461
   macro avg       0.50      0.55      0.50   4877461
weighted avg       1.00      0.98      0.99   4877461

Accuracy: 0.9834992017363132

              precision    recall  f1-score   support

           0       1.00      0.98      0.99   4873589
           1       0.01      0.11      0.01      3872

    accuracy                           0.98   4877461
   macro avg       0.50      0.55      0.50   4877461
weighted avg       1.00      0.98      0.99   4877461

Accuracy: 0.9834992017363132

1-10%

              precision    recall  f1-score   support

           0       0.86      0.72      0.79  21822692
           1       0.48      0.69      0.56   8020644

    accuracy                           0.71  29843336
   macro avg       0.67      0.70      0.67  29843336
weighted avg       0.76      0.71      0.73  29843336

Accuracy: 0.7125415536654481

              precision    recall  f1-score   support

           0       0.81      0.65      0.72  16949103
           1       0.48      0.69      0.56   8016772

    accuracy                           0.66  24965875
   macro avg       0.65      0.67      0.64  24965875
weighted avg       0.71      0.66      0.67  24965875

Accuracy: 0.6596058820289695

10-20%

              precision    recall  f1-score   support

           0       0.85      0.67      0.75  23880186
           1       0.57      0.79      0.66  13481800

    accuracy                           0.71  37361986
   macro avg       0.71      0.73      0.71  37361986
weighted avg       0.75      0.71      0.72  37361986

Accuracy: 0.7125601674386367

              precision    recall  f1-score   support

           0       0.42      0.13      0.19   2057494
           1       0.74      0.93      0.83   5461156

    accuracy                           0.71   7518650
   macro avg       0.58      0.53      0.51   7518650
weighted avg       0.65      0.71      0.65   7518650

Accuracy: 0.7126340499956774

20-40%

              precision    recall  f1-score   support

           0       0.84      0.65      0.73  24625160
           1       0.63      0.82      0.71  17542339

    accuracy                           0.72  42167499
   macro avg       0.73      0.74      0.72  42167499
weighted avg       0.75      0.72      0.73  42167499

Accuracy: 0.7247647293475954

              precision    recall  f1-score   support

           0       0.25      0.08      0.13    744974
           1       0.85      0.95      0.90   4060539

    accuracy                           0.82   4805513
   macro avg       0.55      0.52      0.51   4805513
weighted avg       0.76      0.82      0.78   4805513

Accuracy: 0.8196529694124228

40-80%

              precision    recall  f1-score   support

           0       0.84      0.65      0.73  24861069
           1       0.66      0.84      0.74  20026114

    accuracy                           0.73  44887183
   macro avg       0.75      0.74      0.73  44887183
weighted avg       0.76      0.73      0.73  44887183

Accuracy: 0.7344498985378521

              precision    recall  f1-score   support

           0       0.16      0.08      0.10    235909
           1       0.92      0.96      0.94   2483775

    accuracy                           0.88   2719684
   macro avg       0.54      0.52      0.52   2719684
weighted avg       0.85      0.88      0.87   2719684

Accuracy: 0.8846141684107418

80-90%

              precision    recall  f1-score   support

           0       0.12      0.08      0.09     18577
           1       0.94      0.96      0.95    296772

    accuracy                           0.91    315349
   macro avg       0.53      0.52      0.52    315349
weighted avg       0.89      0.91      0.90    315349

Accuracy: 0.9114885412669772

90-100%

              precision    recall  f1-score   support

           0       0.10      0.07      0.09     13620
           1       0.95      0.96      0.96    240209

    accuracy                           0.92    253829
   macro avg       0.53      0.52      0.52    253829
weighted avg       0.90      0.92      0.91    253829

Accuracy: 0.9161088764483176

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.85      0.66      0.74  22531902
           1       0.65      0.84      0.73  16938696

    accuracy                           0.74  39470598
   macro avg       0.75      0.75      0.74  39470598
weighted avg       0.76      0.74      0.74  39470598

Accuracy: 0.7380751363331257

              precision    recall  f1-score   support

           0       0.85      0.66      0.74  22531902
           1       0.65      0.84      0.73  16938696

    accuracy                           0.74  39470598
   macro avg       0.75      0.75      0.74  39470598
weighted avg       0.76      0.74      0.74  39470598

Accuracy: 0.7380751363331257

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999987096765869

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999987096765869

1-10%

              precision    recall  f1-score   support

           0       0.94      0.89      0.91  12989887
           1       0.27      0.42      0.33   1271288

    accuracy                           0.85  14261175
   macro avg       0.61      0.65      0.62  14261175
weighted avg       0.88      0.85      0.86  14261175

Accuracy: 0.8480883938385161

              precision    recall  f1-score   support

           0       0.93      0.88      0.90  11439888
           1       0.27      0.42      0.33   1271288

    accuracy                           0.83  12711176
   macro avg       0.60      0.65      0.62  12711176
weighted avg       0.87      0.83      0.85  12711176

Accuracy: 0.8295643927831697

10-20%

              precision    recall  f1-score   support

           0       0.89      0.77      0.83  18034328
           1       0.46      0.68      0.54   5083660

    accuracy                           0.75  23117988
   macro avg       0.68      0.72      0.69  23117988
weighted avg       0.80      0.75      0.77  23117988

Accuracy: 0.7513015406011977

              precision    recall  f1-score   support

           0       0.72      0.47      0.57   5044441
           1       0.52      0.76      0.62   3812372

    accuracy                           0.60   8856813
   macro avg       0.62      0.62      0.59   8856813
weighted avg       0.64      0.60      0.59   8856813

Accuracy: 0.5954560630330572

20-40%

              precision    recall  f1-score   support

           0       0.55      0.23      0.33   2995598
           1       0.69      0.90      0.78   5583215

    accuracy                           0.67   8578813
   macro avg       0.62      0.57      0.55   8578813
weighted avg       0.64      0.67      0.62   8578813

Accuracy: 0.6660389963040342

40-80%

              precision    recall  f1-score   support

           0       0.36      0.17      0.23   1295061
           1       0.81      0.92      0.86   5001564

    accuracy                           0.77   6296625
   macro avg       0.59      0.55      0.55   6296625
weighted avg       0.72      0.77      0.73   6296625

Accuracy: 0.7679885653028408

              precision    recall  f1-score   support

           0       0.85      0.66      0.75  22324987
           1       0.64      0.83      0.72  15668439

    accuracy                           0.73  37993426
   macro avg       0.74      0.75      0.73  37993426
weighted avg       0.76      0.73      0.74  37993426

Accuracy: 0.7348150177349102

80-90%

              precision    recall  f1-score   support

           0       0.28      0.16      0.20    117971
           1       0.87      0.93      0.90    692761

    accuracy                           0.82    810732
   macro avg       0.57      0.54      0.55    810732
weighted avg       0.78      0.82      0.80    810732

Accuracy: 0.8173909504003789

90-100%

              precision    recall  f1-score   support

           0       0.26      0.15      0.19     88944
           1       0.88      0.93      0.90    577496

    accuracy                           0.83    666440
   macro avg       0.57      0.54      0.55    666440
weighted avg       0.79      0.83      0.81    666440

Accuracy: 0.8274458315827381

LR_8_decay_rtime

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28055468
           1       0.68      0.87      0.76  21729815

    accuracy                           0.77  49785283
   macro avg       0.78      0.78      0.77  49785283
weighted avg       0.79      0.77      0.77  49785283

Accuracy: 0.766295172008965

              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28055468
           1       0.68      0.87      0.76  21729815

    accuracy                           0.77  49785283
   macro avg       0.78      0.78      0.77  49785283
weighted avg       0.79      0.77      0.77  49785283

Accuracy: 0.766295172008965

0-1%

              precision    recall  f1-score   support

           0       0.87      0.69      0.77  27764588
           1       0.63      0.83      0.72  17098553

    accuracy                           0.75  44863141
   macro avg       0.75      0.76      0.74  44863141
weighted avg       0.78      0.75      0.75  44863141

Accuracy: 0.7471380570522247

              precision    recall  f1-score   support

           0       0.87      0.69      0.77  27764588
           1       0.63      0.83      0.72  17098553

    accuracy                           0.75  44863141
   macro avg       0.75      0.76      0.74  44863141
weighted avg       0.78      0.75      0.75  44863141

Accuracy: 0.7471380570522247

1-10%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.47      0.50      0.48   4452351
weighted avg       0.87      0.94      0.90   4452351

Accuracy: 0.9354129986607076

              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28052152
           1       0.68      0.87      0.76  21263340

    accuracy                           0.76  49315492
   macro avg       0.77      0.78      0.76  49315492
weighted avg       0.79      0.76      0.76  49315492

Accuracy: 0.7641360852691077

10-20%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935

              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28054607
           1       0.68      0.87      0.76  21520956

    accuracy                           0.77  49575563
   macro avg       0.78      0.78      0.77  49575563
weighted avg       0.79      0.77      0.77  49575563

Accuracy: 0.7653238955652405

20-40%

              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28055266
           1       0.68      0.87      0.76  21651524

    accuracy                           0.77  49706790
   macro avg       0.78      0.78      0.77  49706790
weighted avg       0.79      0.77      0.77  49706790

Accuracy: 0.7659301878073398

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.85      0.64      0.73  26119367
           1       0.66      0.87      0.75  21615229

    accuracy                           0.74  47734596
   macro avg       0.76      0.75      0.74  47734596
weighted avg       0.77      0.74      0.74  47734596

Accuracy: 0.7410362915818959

              precision    recall  f1-score   support

           0       0.85      0.64      0.73  26119367
           1       0.66      0.87      0.75  21615229

    accuracy                           0.74  47734596
   macro avg       0.76      0.75      0.74  47734596
weighted avg       0.77      0.74      0.74  47734596

Accuracy: 0.7410363125310624

0-1%

              precision    recall  f1-score   support

           0       0.97      0.95      0.96  12053010
           1       0.19      0.26      0.22    508421

    accuracy                           0.93  12561431
   macro avg       0.58      0.61      0.59  12561431
weighted avg       0.94      0.93      0.93  12561431

Accuracy: 0.9262706613601587

              precision    recall  f1-score   support

           0       0.97      0.95      0.96  12053010
           1       0.19      0.26      0.22    508421

    accuracy                           0.93  12561431
   macro avg       0.58      0.61      0.59  12561431
weighted avg       0.94      0.93      0.93  12561431

Accuracy: 0.9262706613601587

1-10%

              precision    recall  f1-score   support

           0       0.86      0.65      0.74  25421477
           1       0.58      0.82      0.68  14975241

    accuracy                           0.71  40396718
   macro avg       0.72      0.73      0.71  40396718
weighted avg       0.76      0.71      0.72  40396718

Accuracy: 0.7132826483577206

              precision    recall  f1-score   support

           0       0.68      0.38      0.49  13368467
           1       0.59      0.84      0.69  14466820

    accuracy                           0.62  27835287
   macro avg       0.64      0.61      0.59  27835287
weighted avg       0.64      0.62      0.60  27835287

Accuracy: 0.6171659735356779

10-20%

              precision    recall  f1-score   support

           0       0.17      0.03      0.05    503365
           1       0.87      0.98      0.92   3387274

    accuracy                           0.86   3890639
   macro avg       0.52      0.50      0.49   3890639
weighted avg       0.78      0.86      0.81   3890639

Accuracy: 0.8554936605529323

20-40%

              precision    recall  f1-score   support

           0       0.85      0.64      0.73  26072330
           1       0.65      0.86      0.74  20332940

    accuracy                           0.73  46405270
   macro avg       0.75      0.75      0.73  46405270
weighted avg       0.76      0.73      0.73  46405270

Accuracy: 0.7347420454616469

              precision    recall  f1-score   support

           0       0.09      0.01      0.02    147488
           1       0.93      0.99      0.96   1970425

    accuracy                           0.92   2117913
   macro avg       0.51      0.50      0.49   2117913
weighted avg       0.87      0.92      0.89   2117913

Accuracy: 0.9222324052026688

40-80%

              precision    recall  f1-score   support

           0       0.85      0.64      0.73  26113946
           1       0.66      0.87      0.75  21397219

    accuracy                           0.74  47511165
   macro avg       0.76      0.75      0.74  47511165
weighted avg       0.77      0.74      0.74  47511165

Accuracy: 0.7399448950578248

              precision    recall  f1-score   support

           0       0.05      0.01      0.01     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.51      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9582654772831055

80-90%

              precision    recall  f1-score   support

           0       0.03      0.00      0.01      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.97    124036
   macro avg       0.50      0.50      0.50    124036
weighted avg       0.95      0.97      0.96    124036

Accuracy: 0.9721613080073527

90-100%

              precision    recall  f1-score   support

           0       0.02      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.97     99395
   macro avg       0.50      0.50      0.50     99395
weighted avg       0.95      0.97      0.96     99395

Accuracy: 0.9743146033502691

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.81      0.54      0.65  24893266
           1       0.60      0.84      0.70  20563095

    accuracy                           0.68  45456361
   macro avg       0.71      0.69      0.68  45456361
weighted avg       0.72      0.68      0.68  45456361

Accuracy: 0.6798797202442141

              precision    recall  f1-score   support

           0       0.81      0.54      0.65  24893266
           1       0.60      0.84      0.70  20563095

    accuracy                           0.68  45456361
   macro avg       0.71      0.69      0.68  45456361
weighted avg       0.72      0.68      0.68  45456361

Accuracy: 0.6798796982450926

0-1%

              precision    recall  f1-score   support

           0       1.00      0.97      0.98   4873589
           1       0.02      0.65      0.03      3872

    accuracy                           0.97   4877461
   macro avg       0.51      0.81      0.51   4877461
weighted avg       1.00      0.97      0.98   4877461

Accuracy: 0.9683058460129154

              precision    recall  f1-score   support

           0       1.00      0.97      0.98   4873589
           1       0.02      0.65      0.03      3872

    accuracy                           0.97   4877461
   macro avg       0.51      0.81      0.51   4877461
weighted avg       1.00      0.97      0.98   4877461

Accuracy: 0.9683058460129154

1-10%

              precision    recall  f1-score   support

           0       0.90      0.59      0.71  21822692
           1       0.42      0.82      0.56   8020644

    accuracy                           0.65  29843336
   macro avg       0.66      0.70      0.63  29843336
weighted avg       0.77      0.65      0.67  29843336

Accuracy: 0.650493497107696

              precision    recall  f1-score   support

           0       0.85      0.48      0.61  16949103
           1       0.43      0.82      0.56   8016772

    accuracy                           0.59  24965875
   macro avg       0.64      0.65      0.59  24965875
weighted avg       0.71      0.59      0.60  24965875

Accuracy: 0.5884040114756642

10-20%

              precision    recall  f1-score   support

           0       0.86      0.56      0.68  23880186
           1       0.52      0.84      0.64  13481800

    accuracy                           0.66  37361986
   macro avg       0.69      0.70      0.66  37361986
weighted avg       0.73      0.66      0.66  37361986

Accuracy: 0.6582244048804043

              precision    recall  f1-score   support

           0       0.39      0.24      0.30   2057494
           1       0.75      0.86      0.80   5461156

    accuracy                           0.69   7518650
   macro avg       0.57      0.55      0.55   7518650
weighted avg       0.65      0.69      0.66   7518650

Accuracy: 0.6889102431952545

20-40%

              precision    recall  f1-score   support

           0       0.83      0.55      0.66  24625160
           1       0.57      0.84      0.68  17542339

    accuracy                           0.67  42167499
   macro avg       0.70      0.69      0.67  42167499
weighted avg       0.72      0.67      0.67  42167499

Accuracy: 0.6699554080738818

              precision    recall  f1-score   support

           0       0.23      0.22      0.23    744974
           1       0.86      0.86      0.86   4060539

    accuracy                           0.76   4805513
   macro avg       0.54      0.54      0.54   4805513
weighted avg       0.76      0.76      0.76   4805513

Accuracy: 0.7611618156063671

40-80%

              precision    recall  f1-score   support

           0       0.81      0.54      0.65  24861069
           1       0.60      0.84      0.70  20026114

    accuracy                           0.68  44887183
   macro avg       0.71      0.69      0.68  44887183
weighted avg       0.72      0.68      0.67  44887183

Accuracy: 0.6780779716116291

              precision    recall  f1-score   support

           0       0.13      0.22      0.16    235909
           1       0.92      0.86      0.89   2483775

    accuracy                           0.80   2719684
   macro avg       0.52      0.54      0.53   2719684
weighted avg       0.85      0.80      0.83   2719684

Accuracy: 0.8040147311231746

80-90%

              precision    recall  f1-score   support

           0       0.09      0.21      0.12     18577
           1       0.95      0.86      0.90    296772

    accuracy                           0.82    315349
   macro avg       0.52      0.54      0.51    315349
weighted avg       0.90      0.82      0.85    315349

Accuracy: 0.8201357860655971

90-100%

              precision    recall  f1-score   support

           0       0.08      0.22      0.12     13620
           1       0.95      0.86      0.90    240209

    accuracy                           0.82    253829
   macro avg       0.52      0.54      0.51    253829
weighted avg       0.90      0.82      0.86    253829

Accuracy: 0.8242517600431787

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.80      0.63      0.70  22531902
           1       0.61      0.79      0.69  16938696

    accuracy                           0.70  39470598
   macro avg       0.70      0.71      0.69  39470598
weighted avg       0.72      0.70      0.70  39470598

Accuracy: 0.6950427252204286

              precision    recall  f1-score   support

           0       0.80      0.63      0.70  22531902
           1       0.61      0.79      0.69  16938696

    accuracy                           0.70  39470598
   macro avg       0.70      0.71      0.69  39470598
weighted avg       0.72      0.70      0.70  39470598

Accuracy: 0.6950427252204286

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9992832253440164

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9992832253440164

1-10%

              precision    recall  f1-score   support

           0       0.97      0.76      0.85  12989887
           1       0.24      0.76      0.36   1271288

    accuracy                           0.76  14261175
   macro avg       0.60      0.76      0.61  14261175
weighted avg       0.90      0.76      0.81  14261175

Accuracy: 0.7582692870678608

              precision    recall  f1-score   support

           0       0.96      0.73      0.83  11439888
           1       0.24      0.76      0.36   1271288

    accuracy                           0.73  12711176
   macro avg       0.60      0.74      0.59  12711176
weighted avg       0.89      0.73      0.78  12711176

Accuracy: 0.7288800815911919

10-20%

              precision    recall  f1-score   support

           0       0.92      0.68      0.78  18034328
           1       0.41      0.78      0.53   5083660

    accuracy                           0.70  23117988
   macro avg       0.66      0.73      0.66  23117988
weighted avg       0.80      0.70      0.73  23117988

Accuracy: 0.7013371578876155

              precision    recall  f1-score   support

           0       0.75      0.48      0.58   5044441
           1       0.53      0.78      0.63   3812372

    accuracy                           0.61   8856813
   macro avg       0.64      0.63      0.61   8856813
weighted avg       0.65      0.61      0.60   8856813

Accuracy: 0.6096654631863628

20-40%

              precision    recall  f1-score   support

           0       0.52      0.42      0.47   2995598
           1       0.72      0.79      0.75   5583215

    accuracy                           0.66   8578813
   macro avg       0.62      0.61      0.61   8578813
weighted avg       0.65      0.66      0.65   8578813

Accuracy: 0.6628486948019499

              precision    recall  f1-score   support

           0       0.86      0.64      0.73  21029926
           1       0.53      0.79      0.63  10666875

    accuracy                           0.69  31696801
   macro avg       0.69      0.71      0.68  31696801
weighted avg       0.74      0.69      0.70  31696801

Accuracy: 0.6909201657290274

40-80%

              precision    recall  f1-score   support

           0       0.33      0.41      0.36   1295061
           1       0.84      0.79      0.81   5001564

    accuracy                           0.71   6296625
   macro avg       0.58      0.60      0.59   6296625
weighted avg       0.73      0.71      0.72   6296625

Accuracy: 0.70798864471046

80-90%

              precision    recall  f1-score   support

           0       0.24      0.40      0.30    117971
           1       0.88      0.78      0.83    692761

    accuracy                           0.73    810732
   macro avg       0.56      0.59      0.56    810732
weighted avg       0.79      0.73      0.75    810732

Accuracy: 0.7265989254155504

90-100%

              precision    recall  f1-score   support

           0       0.22      0.40      0.28     88944
           1       0.89      0.78      0.83    577496

    accuracy                           0.73    666440
   macro avg       0.56      0.59      0.56    666440
weighted avg       0.80      0.73      0.76    666440

Accuracy: 0.73041384070584

LR_8_decay_rtime_w_0_5

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.75      0.87      0.81  28055468
           1       0.79      0.64      0.70  21729815

    accuracy                           0.77  49785283
   macro avg       0.77      0.75      0.75  49785283
weighted avg       0.77      0.77      0.76  49785283

Accuracy: 0.7658230244468028

              precision    recall  f1-score   support

           0       0.75      0.87      0.81  28055468
           1       0.79      0.64      0.70  21729815

    accuracy                           0.77  49785283
   macro avg       0.77      0.75      0.75  49785283
weighted avg       0.77      0.77      0.76  49785283

Accuracy: 0.76582304453306

0-1%

              precision    recall  f1-score   support

           0       0.75      0.88      0.81  27764588
           1       0.73      0.54      0.62  17098553

    accuracy                           0.75  44863141
   macro avg       0.74      0.71      0.71  44863141
weighted avg       0.74      0.75      0.74  44863141

Accuracy: 0.7466908525196664

              precision    recall  f1-score   support

           0       0.75      0.88      0.81  27764588
           1       0.73      0.54      0.62  17098553

    accuracy                           0.75  44863141
   macro avg       0.74      0.71      0.71  44863141
weighted avg       0.74      0.75      0.74  44863141

Accuracy: 0.7466908302296533

1-10%

              precision    recall  f1-score   support

           0       0.11      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.93   4452351
   macro avg       0.52      0.50      0.48   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.9346399239413065

              precision    recall  f1-score   support

           0       0.75      0.87      0.81  28052152
           1       0.78      0.63      0.70  21263340

    accuracy                           0.76  49315492
   macro avg       0.77      0.75      0.75  49315492
weighted avg       0.77      0.76      0.76  49315492

Accuracy: 0.7636594399179877

10-20%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935

              precision    recall  f1-score   support

           0       0.75      0.87      0.81  28054607
           1       0.78      0.63      0.70  21520956

    accuracy                           0.76  49575563
   macro avg       0.77      0.75      0.75  49575563
weighted avg       0.77      0.76      0.76  49575563

Accuracy: 0.7648497506725239

20-40%

              precision    recall  f1-score   support

           0       0.75      0.87      0.81  28055266
           1       0.79      0.63      0.70  21651524

    accuracy                           0.77  49706790
   macro avg       0.77      0.75      0.75  49706790
weighted avg       0.77      0.77      0.76  49706790

Accuracy: 0.7654572946673885

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347

              precision    recall  f1-score   support

           0       0.75      0.87      0.81  28055435
           1       0.79      0.64      0.70  21716758

    accuracy                           0.77  49772193
   macro avg       0.77      0.75      0.75  49772193
weighted avg       0.77      0.77      0.76  49772193

Accuracy: 0.7657620993312471

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.68      0.85      0.76  26119367
           1       0.74      0.53      0.61  21615229

    accuracy                           0.70  47734596
   macro avg       0.71      0.69      0.68  47734596
weighted avg       0.71      0.70      0.69  47734596

Accuracy: 0.7006605230302986

              precision    recall  f1-score   support

           0       0.68      0.85      0.76  26119367
           1       0.74      0.53      0.61  21615229

    accuracy                           0.70  47734596
   macro avg       0.71      0.69      0.68  47734596
weighted avg       0.71      0.70      0.69  47734596

Accuracy: 0.7006605439794651

0-1%

              precision    recall  f1-score   support

           0       0.96      0.99      0.98  12053010
           1       0.25      0.05      0.08    508421

    accuracy                           0.96  12561431
   macro avg       0.60      0.52      0.53  12561431
weighted avg       0.93      0.96      0.94  12561431

Accuracy: 0.9552593171908519

              precision    recall  f1-score   support

           0       0.96      0.99      0.98  12053010
           1       0.25      0.05      0.08    508421

    accuracy                           0.96  12561431
   macro avg       0.60      0.52      0.53  12561431
weighted avg       0.93      0.96      0.94  12561431

Accuracy: 0.9552593171908519

1-10%

              precision    recall  f1-score   support

           0       0.73      0.86      0.79  25421477
           1       0.65      0.45      0.53  14975241

    accuracy                           0.71  40396718
   macro avg       0.69      0.65      0.66  40396718
weighted avg       0.70      0.71      0.69  40396718

Accuracy: 0.7062878969524208

              precision    recall  f1-score   support

           0       0.56      0.74      0.64  13368467
           1       0.65      0.46      0.54  14466820

    accuracy                           0.59  27835287
   macro avg       0.61      0.60      0.59  27835287
weighted avg       0.61      0.59      0.59  27835287

Accuracy: 0.593932765988725

10-20%

              precision    recall  f1-score   support

           0       0.70      0.85      0.77  25924842
           1       0.70      0.49      0.58  18362515

    accuracy                           0.70  44287357
   macro avg       0.70      0.67      0.67  44287357
weighted avg       0.70      0.70      0.69  44287357

Accuracy: 0.7006324175091324

              precision    recall  f1-score   support

           0       0.15      0.38      0.21    503365
           1       0.88      0.68      0.77   3387274

    accuracy                           0.64   3890639
   macro avg       0.51      0.53      0.49   3890639
weighted avg       0.79      0.64      0.70   3890639

Accuracy: 0.6419112644478195

20-40%

              precision    recall  f1-score   support

           0       0.69      0.85      0.76  26072330
           1       0.72      0.51      0.60  20332940

    accuracy                           0.70  46405270
   macro avg       0.71      0.68      0.68  46405270
weighted avg       0.70      0.70      0.69  46405270

Accuracy: 0.7001336055150633

              precision    recall  f1-score   support

           0       0.08      0.34      0.13    147488
           1       0.94      0.72      0.81   1970425

    accuracy                           0.69   2117913
   macro avg       0.51      0.53      0.47   2117913
weighted avg       0.88      0.69      0.76   2117913

Accuracy: 0.6897030236841646

40-80%

              precision    recall  f1-score   support

           0       0.68      0.85      0.76  26113946
           1       0.73      0.52      0.61  21397219

    accuracy                           0.70  47511165
   macro avg       0.71      0.68      0.68  47511165
weighted avg       0.71      0.70      0.69  47511165

Accuracy: 0.7005308120733306

              precision    recall  f1-score   support

           0       0.04      0.32      0.08     41616
           1       0.96      0.73      0.83   1064279

    accuracy                           0.72   1105895
   macro avg       0.50      0.53      0.46   1105895
weighted avg       0.93      0.72      0.80   1105895

Accuracy: 0.7171982873600116

80-90%

              precision    recall  f1-score   support

           0       0.03      0.31      0.05      3093
           1       0.98      0.74      0.84    120943

    accuracy                           0.73    124036
   macro avg       0.50      0.53      0.45    124036
weighted avg       0.95      0.73      0.82    124036

Accuracy: 0.7272646650972299

90-100%

              precision    recall  f1-score   support

           0       0.03      0.29      0.05      2328
           1       0.98      0.74      0.84     97067

    accuracy                           0.73     99395
   macro avg       0.50      0.52      0.45     99395
weighted avg       0.96      0.73      0.82     99395

Accuracy: 0.7294632526787062

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962

              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627

1-10%

              precision    recall  f1-score   support

           0       0.73      1.00      0.84  21822692
           1       0.00      0.00      0.00   8020644

    accuracy                           0.73  29843336
   macro avg       0.37      0.50      0.42  29843336
weighted avg       0.53      0.73      0.62  29843336

Accuracy: 0.7312417083666518

              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122

10-20%

              precision    recall  f1-score   support

           0       0.64      1.00      0.78  23880186
           1       0.00      0.00      0.00  13481800

    accuracy                           0.64  37361986
   macro avg       0.32      0.50      0.39  37361986
weighted avg       0.41      0.64      0.50  37361986

Accuracy: 0.6391572974734266

              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146

20-40%

              precision    recall  f1-score   support

           0       0.58      1.00      0.74  24625160
           1       0.00      0.00      0.00  17542339

    accuracy                           0.58  42167499
   macro avg       0.29      0.50      0.37  42167499
weighted avg       0.34      0.58      0.43  42167499

Accuracy: 0.5839843619845702

              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012

40-80%

              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24861069
           1       0.00      0.00      0.00  20026114

    accuracy                           0.55  44887183
   macro avg       0.28      0.50      0.36  44887183
weighted avg       0.31      0.55      0.39  44887183

Accuracy: 0.553856743471739

              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126

80-90%

              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705

90-100%

              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.66      0.93      0.77  22531902
           1       0.79      0.36      0.50  16938696

    accuracy                           0.68  39470598
   macro avg       0.72      0.64      0.63  39470598
weighted avg       0.71      0.68      0.65  39470598

Accuracy: 0.6836500424949224

              precision    recall  f1-score   support

           0       0.66      0.93      0.77  22531902
           1       0.79      0.36      0.50  16938696

    accuracy                           0.68  39470598
   macro avg       0.72      0.64      0.63  39470598
weighted avg       0.71      0.68      0.65  39470598

Accuracy: 0.6836500424949224

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0

1-10%

              precision    recall  f1-score   support

           0       0.93      0.97      0.95  11439888
           1       0.55      0.32      0.40   1271288

    accuracy                           0.91  12711176
   macro avg       0.74      0.64      0.68  12711176
weighted avg       0.89      0.91      0.89  12711176

Accuracy: 0.905719108916437

10-20%

              precision    recall  f1-score   support

           0       0.84      0.95      0.89  18034328
           1       0.66      0.34      0.45   5083660

    accuracy                           0.82  23117988
   macro avg       0.75      0.65      0.67  23117988
weighted avg       0.80      0.82      0.79  23117988

Accuracy: 0.8174659490263599

              precision    recall  f1-score   support

           0       0.65      0.89      0.75   5044441
           1       0.71      0.35      0.47   3812372

    accuracy                           0.66   8856813
   macro avg       0.68      0.62      0.61   8856813
weighted avg       0.67      0.66      0.63   8856813

Accuracy: 0.658861601797396

20-40%

              precision    recall  f1-score   support

           0       0.42      0.84      0.56   2995598
           1       0.81      0.37      0.51   5583215

    accuracy                           0.53   8578813
   macro avg       0.61      0.60      0.53   8578813
weighted avg       0.67      0.53      0.52   8578813

Accuracy: 0.5332129281754947

              precision    recall  f1-score   support

           0       0.74      0.93      0.83  21029926
           1       0.74      0.36      0.48  10666875

    accuracy                           0.74  31696801
   macro avg       0.74      0.65      0.65  31696801
weighted avg       0.74      0.74      0.71  31696801

Accuracy: 0.7405322070198819

40-80%

              precision    recall  f1-score   support

           0       0.25      0.80      0.38   1295061
           1       0.88      0.37      0.52   5001564

    accuracy                           0.46   6296625
   macro avg       0.56      0.59      0.45   6296625
weighted avg       0.75      0.46      0.49   6296625

Accuracy: 0.45825088837273936

              precision    recall  f1-score   support

           0       0.67      0.93      0.78  22324987
           1       0.78      0.36      0.49  15668439

    accuracy                           0.69  37993426
   macro avg       0.73      0.64      0.64  37993426
weighted avg       0.72      0.69      0.66  37993426

Accuracy: 0.6937499134718728

80-90%

              precision    recall  f1-score   support

           0       0.18      0.79      0.29    117971
           1       0.91      0.36      0.52    692761

    accuracy                           0.43    810732
   macro avg       0.54      0.58      0.40    810732
weighted avg       0.80      0.43      0.49    810732

Accuracy: 0.4263936787989126

90-100%

              precision    recall  f1-score   support

           0       0.16      0.79      0.27     88944
           1       0.92      0.36      0.52    577496

    accuracy                           0.42    666440
   macro avg       0.54      0.58      0.39    666440
weighted avg       0.82      0.42      0.49    666440

Accuracy: 0.42081657763639635

LR_8_decay_rtime_w_0_75

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.81      0.79      0.80  28055468
           1       0.74      0.76      0.75  21729815

    accuracy                           0.78  49785283
   macro avg       0.77      0.78      0.77  49785283
weighted avg       0.78      0.78      0.78  49785283

Accuracy: 0.7774990050774644

              precision    recall  f1-score   support

           0       0.81      0.79      0.80  28055468
           1       0.74      0.76      0.75  21729815

    accuracy                           0.78  49785283
   macro avg       0.77      0.78      0.77  49785283
weighted avg       0.78      0.78      0.78  49785283

Accuracy: 0.777499065336236

0-1%

              precision    recall  f1-score   support

           0       0.81      0.80      0.80  27764588
           1       0.68      0.70      0.69  17098553

    accuracy                           0.76  44863141
   macro avg       0.75      0.75      0.75  44863141
weighted avg       0.76      0.76      0.76  44863141

Accuracy: 0.7595720504723465

1-10%

              precision    recall  f1-score   support

           0       0.15      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.54      0.50      0.48   4452351
weighted avg       0.88      0.94      0.90   4452351

Accuracy: 0.9354042392434918

              precision    recall  f1-score   support

           0       0.81      0.79      0.80  28052152
           1       0.73      0.76      0.74  21263340

    accuracy                           0.78  49315492
   macro avg       0.77      0.77      0.77  49315492
weighted avg       0.78      0.78      0.78  49315492

Accuracy: 0.775446648692058

10-20%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935

20-40%

              precision    recall  f1-score   support

           0       0.81      0.79      0.80  28055266
           1       0.74      0.76      0.75  21651524

    accuracy                           0.78  49706790
   macro avg       0.77      0.78      0.77  49706790
weighted avg       0.78      0.78      0.78  49706790

Accuracy: 0.7771517130758192

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347

              precision    recall  f1-score   support

           0       0.81      0.79      0.80  28055435
           1       0.74      0.76      0.75  21716758

    accuracy                           0.78  49772193
   macro avg       0.77      0.78      0.77  49772193
weighted avg       0.78      0.78      0.78  49772193

Accuracy: 0.7774411507244617

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.79      0.73      0.76  26119367
           1       0.70      0.76      0.73  21615229

    accuracy                           0.75  47734596
   macro avg       0.75      0.75      0.75  47734596
weighted avg       0.75      0.75      0.75  47734596

Accuracy: 0.7468403838591197

              precision    recall  f1-score   support

           0       0.79      0.73      0.76  26119367
           1       0.70      0.76      0.73  21615229

    accuracy                           0.75  47734596
   macro avg       0.75      0.75      0.75  47734596
weighted avg       0.75      0.75      0.75  47734596

Accuracy: 0.7468403838591197

0-1%

              precision    recall  f1-score   support

           0       0.96      0.98      0.97  12053010
           1       0.22      0.13      0.16    508421

    accuracy                           0.95  12561431
   macro avg       0.59      0.56      0.57  12561431
weighted avg       0.93      0.95      0.94  12561431

Accuracy: 0.9464279985297853

              precision    recall  f1-score   support

           0       0.96      0.98      0.97  12053010
           1       0.22      0.13      0.16    508421

    accuracy                           0.95  12561431
   macro avg       0.59      0.56      0.57  12561431
weighted avg       0.93      0.95      0.94  12561431

Accuracy: 0.9464279985297853

1-10%

              precision    recall  f1-score   support

           0       0.80      0.75      0.77  25421477
           1       0.62      0.68      0.65  14975241

    accuracy                           0.72  40396718
   macro avg       0.71      0.72      0.71  40396718
weighted avg       0.73      0.72      0.73  40396718

Accuracy: 0.7245799275079723

              precision    recall  f1-score   support

           0       0.63      0.54      0.58  13368467
           1       0.62      0.70      0.66  14466820

    accuracy                           0.62  27835287
   macro avg       0.62      0.62      0.62  27835287
weighted avg       0.62      0.62      0.62  27835287

Accuracy: 0.6244649462389232

10-20%

              precision    recall  f1-score   support

           0       0.79      0.74      0.76  25924842
           1       0.66      0.73      0.69  18362515

    accuracy                           0.73  44287357
   macro avg       0.73      0.73      0.73  44287357
weighted avg       0.74      0.73      0.73  44287357

Accuracy: 0.7332561751201364

              precision    recall  f1-score   support

           0       0.15      0.08      0.11    503365
           1       0.87      0.93      0.90   3387274

    accuracy                           0.82   3890639
   macro avg       0.51      0.51      0.50   3890639
weighted avg       0.78      0.82      0.80   3890639

Accuracy: 0.8233421296604491

20-40%

              precision    recall  f1-score   support

           0       0.79      0.73      0.76  26072330
           1       0.69      0.75      0.72  20332940

    accuracy                           0.74  46405270
   macro avg       0.74      0.74      0.74  46405270
weighted avg       0.75      0.74      0.74  46405270

Accuracy: 0.7409923700476261

              precision    recall  f1-score   support

           0       0.08      0.04      0.05    147488
           1       0.93      0.97      0.95   1970425

    accuracy                           0.90   2117913
   macro avg       0.51      0.50      0.50   2117913
weighted avg       0.87      0.90      0.89   2117913

Accuracy: 0.9027627669314084

40-80%

              precision    recall  f1-score   support

           0       0.79      0.73      0.76  26113946
           1       0.70      0.76      0.73  21397219

    accuracy                           0.75  47511165
   macro avg       0.74      0.75      0.74  47511165
weighted avg       0.75      0.75      0.75  47511165

Accuracy: 0.7458066119826782

              precision    recall  f1-score   support

           0       0.05      0.02      0.03     41616
           1       0.96      0.98      0.97   1064279

    accuracy                           0.95   1105895
   macro avg       0.50      0.50      0.50   1105895
weighted avg       0.93      0.95      0.94   1105895

Accuracy: 0.9478205435416563

80-90%

              precision    recall  f1-score   support

           0       0.03      0.01      0.02      3093
           1       0.98      0.99      0.98    120943

    accuracy                           0.97    124036
   macro avg       0.50      0.50      0.50    124036
weighted avg       0.95      0.97      0.96    124036

Accuracy: 0.9653971427650037

90-100%

              precision    recall  f1-score   support

           0       0.02      0.01      0.01      2328
           1       0.98      0.99      0.98     97067

    accuracy                           0.97     99395
   macro avg       0.50      0.50      0.50     99395
weighted avg       0.95      0.97      0.96     99395

Accuracy: 0.9682478997937523

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.75      0.67      0.71  24893266
           1       0.65      0.73      0.69  20563095

    accuracy                           0.70  45456361
   macro avg       0.70      0.70      0.70  45456361
weighted avg       0.71      0.70      0.70  45456361

Accuracy: 0.7003292014510356

              precision    recall  f1-score   support

           0       0.75      0.67      0.71  24893266
           1       0.65      0.73      0.69  20563095

    accuracy                           0.70  45456361
   macro avg       0.70      0.70      0.70  45456361
weighted avg       0.71      0.70      0.70  45456361

Accuracy: 0.7003292014510356

0-1%

              precision    recall  f1-score   support

           0       1.00      0.99      0.99   4873589
           1       0.04      0.52      0.07      3872

    accuracy                           0.99   4877461
   macro avg       0.52      0.75      0.53   4877461
weighted avg       1.00      0.99      0.99   4877461

Accuracy: 0.9884956537838027

1-10%

              precision    recall  f1-score   support

           0       0.82      0.63      0.71  16949103
           1       0.48      0.71      0.57   8016772

    accuracy                           0.66  24965875
   macro avg       0.65      0.67      0.64  24965875
weighted avg       0.71      0.66      0.67  24965875

Accuracy: 0.6565969748706985

10-20%

              precision    recall  f1-score   support

           0       0.82      0.68      0.74  23880186
           1       0.56      0.73      0.64  13481800

    accuracy                           0.70  37361986
   macro avg       0.69      0.70      0.69  37361986
weighted avg       0.72      0.70      0.70  37361986

Accuracy: 0.6992152130242756

              precision    recall  f1-score   support

           0       0.37      0.39      0.38   2057494
           1       0.77      0.75      0.76   5461156

    accuracy                           0.65   7518650
   macro avg       0.57      0.57      0.57   7518650
weighted avg       0.66      0.65      0.66   7518650

Accuracy: 0.6530696335113352

20-40%

              precision    recall  f1-score   support

           0       0.78      0.68      0.72  24625160
           1       0.62      0.73      0.67  17542339

    accuracy                           0.70  42167499
   macro avg       0.70      0.70      0.70  42167499
weighted avg       0.71      0.70      0.70  42167499

Accuracy: 0.6987434089937371

              precision    recall  f1-score   support

           0       0.22      0.37      0.27    744974
           1       0.87      0.75      0.81   4060539

    accuracy                           0.70   4805513
   macro avg       0.54      0.56      0.54   4805513
weighted avg       0.77      0.70      0.72   4805513

Accuracy: 0.6950752188163886

40-80%

              precision    recall  f1-score   support

           0       0.76      0.67      0.71  24861069
           1       0.64      0.73      0.69  20026114

    accuracy                           0.70  44887183
   macro avg       0.70      0.70      0.70  44887183
weighted avg       0.71      0.70      0.70  44887183

Accuracy: 0.699972105623113

              precision    recall  f1-score   support

           0       0.12      0.37      0.18    235909
           1       0.93      0.75      0.83   2483775

    accuracy                           0.72   2719684
   macro avg       0.52      0.56      0.51   2719684
weighted avg       0.86      0.72      0.77   2719684

Accuracy: 0.7190225040850334

80-90%

              precision    recall  f1-score   support

           0       0.08      0.36      0.14     18577
           1       0.95      0.75      0.84    296772

    accuracy                           0.73    315349
   macro avg       0.52      0.56      0.49    315349
weighted avg       0.90      0.73      0.80    315349

Accuracy: 0.7271784594211492

90-100%

              precision    recall  f1-score   support

           0       0.08      0.37      0.13     13620
           1       0.95      0.75      0.84    240209

    accuracy                           0.73    253829
   macro avg       0.52      0.56      0.48    253829
weighted avg       0.91      0.73      0.80    253829

Accuracy: 0.7301214597228843

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.72      0.82      0.77  22531902
           1       0.71      0.58      0.64  16938696

    accuracy                           0.72  39470598
   macro avg       0.71      0.70      0.70  39470598
weighted avg       0.72      0.72      0.71  39470598

Accuracy: 0.7166914218021222

              precision    recall  f1-score   support

           0       0.72      0.82      0.77  22531902
           1       0.71      0.58      0.64  16938696

    accuracy                           0.72  39470598
   macro avg       0.71      0.70      0.70  39470598
weighted avg       0.72      0.72      0.71  39470598

Accuracy: 0.7166914218021222

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999961290297606

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999961290297606

1-10%

              precision    recall  f1-score   support

           0       0.95      0.91      0.93  12989887
           1       0.37      0.54      0.44   1271288

    accuracy                           0.88  14261175
   macro avg       0.66      0.72      0.69  14261175
weighted avg       0.90      0.88      0.89  14261175

Accuracy: 0.8781463659200592

              precision    recall  f1-score   support

           0       0.95      0.90      0.92  11439888
           1       0.37      0.54      0.44   1271288

    accuracy                           0.86  12711176
   macro avg       0.66      0.72      0.68  12711176
weighted avg       0.89      0.86      0.87  12711176

Accuracy: 0.863288023075127

10-20%

              precision    recall  f1-score   support

           0       0.87      0.86      0.87  18034328
           1       0.53      0.56      0.55   5083660

    accuracy                           0.80  23117988
   macro avg       0.70      0.71      0.71  23117988
weighted avg       0.80      0.80      0.80  23117988

Accuracy: 0.7951051363120355

              precision    recall  f1-score   support

           0       0.69      0.73      0.71   5044441
           1       0.61      0.57      0.59   3812372

    accuracy                           0.66   8856813
   macro avg       0.65      0.65      0.65   8856813
weighted avg       0.66      0.66      0.66   8856813

Accuracy: 0.661392760578777

20-40%

              precision    recall  f1-score   support

           0       0.47      0.67      0.55   2995598
           1       0.77      0.59      0.67   5583215

    accuracy                           0.62   8578813
   macro avg       0.62      0.63      0.61   8578813
weighted avg       0.66      0.62      0.62   8578813

Accuracy: 0.6159187757094134

              precision    recall  f1-score   support

           0       0.79      0.83      0.81  21029926
           1       0.64      0.58      0.60  10666875

    accuracy                           0.75  31696801
   macro avg       0.72      0.70      0.71  31696801
weighted avg       0.74      0.75      0.74  31696801

Accuracy: 0.7466079305605635

40-80%

              precision    recall  f1-score   support

           0       0.29      0.64      0.39   1295061
           1       0.86      0.59      0.70   5001564

    accuracy                           0.60   6296625
   macro avg       0.57      0.61      0.55   6296625
weighted avg       0.74      0.60      0.64   6296625

Accuracy: 0.5964776368292538

              precision    recall  f1-score   support

           0       0.74      0.82      0.78  22324987
           1       0.70      0.58      0.63  15668439

    accuracy                           0.72  37993426
   macro avg       0.72      0.70      0.70  37993426
weighted avg       0.72      0.72      0.72  37993426

Accuracy: 0.7217269377075919

80-90%

              precision    recall  f1-score   support

           0       0.20      0.63      0.31    117971
           1       0.90      0.58      0.71    692761

    accuracy                           0.59    810732
   macro avg       0.55      0.61      0.51    810732
weighted avg       0.80      0.59      0.65    810732

Accuracy: 0.5876985242965617

90-100%

              precision    recall  f1-score   support

           0       0.19      0.63      0.29     88944
           1       0.91      0.58      0.71    577496

    accuracy                           0.59    666440
   macro avg       0.55      0.61      0.50    666440
weighted avg       0.81      0.59      0.65    666440

Accuracy: 0.586540423744073

LR_8_decay_vtime

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.74      0.52      0.61  28055468
           1       0.55      0.77      0.64  21729815

    accuracy                           0.63  49785283
   macro avg       0.65      0.64      0.63  49785283
weighted avg       0.66      0.63      0.63  49785283

Accuracy: 0.6286199076140634

              precision    recall  f1-score   support

           0       0.74      0.52      0.61  28055468
           1       0.55      0.77      0.64  21729815

    accuracy                           0.63  49785283
   macro avg       0.65      0.64      0.63  49785283
weighted avg       0.66      0.63      0.63  49785283

Accuracy: 0.6286199076140634

0-1%

              precision    recall  f1-score   support

           0       0.79      0.52      0.63  27764588
           1       0.50      0.77      0.60  17098553

    accuracy                           0.62  44863141
   macro avg       0.64      0.64      0.62  44863141
weighted avg       0.68      0.62      0.62  44863141

Accuracy: 0.615548764184835

              precision    recall  f1-score   support

           0       0.79      0.52      0.63  27764588
           1       0.50      0.77      0.60  17098553

    accuracy                           0.62  44863141
   macro avg       0.64      0.64      0.62  44863141
weighted avg       0.68      0.62      0.62  44863141

Accuracy: 0.615548764184835

1-10%

              precision    recall  f1-score   support

           0       0.07      0.24      0.11    287564
           1       0.94      0.78      0.85   4164787

    accuracy                           0.75   4452351
   macro avg       0.50      0.51      0.48   4452351
weighted avg       0.88      0.75      0.80   4452351

Accuracy: 0.7451294832774864

              precision    recall  f1-score   support

           0       0.75      0.52      0.61  28052152
           1       0.55      0.77      0.64  21263340

    accuracy                           0.63  49315492
   macro avg       0.65      0.64      0.63  49315492
weighted avg       0.66      0.63      0.62  49315492

Accuracy: 0.6272477013916844

10-20%

              precision    recall  f1-score   support

           0       0.01      0.25      0.02      2455
           1       0.99      0.78      0.87    257616

    accuracy                           0.77    260071
   macro avg       0.50      0.51      0.44    260071
weighted avg       0.98      0.77      0.86    260071

Accuracy: 0.7705242030061021

              precision    recall  f1-score   support

           0       0.75      0.52      0.61  28054607
           1       0.55      0.77      0.64  21520956

    accuracy                           0.63  49575563
   macro avg       0.65      0.64      0.63  49575563
weighted avg       0.66      0.63      0.63  49575563

Accuracy: 0.627999322972893

20-40%

              precision    recall  f1-score   support

           0       0.75      0.52      0.61  28055266
           1       0.55      0.77      0.64  21651524

    accuracy                           0.63  49706790
   macro avg       0.65      0.64      0.63  49706790
weighted avg       0.66      0.63      0.63  49706790

Accuracy: 0.6283882342834852

              precision    recall  f1-score   support

           0       0.01      0.28      0.01       659
           1       1.00      0.78      0.87    130568

    accuracy                           0.78    131227
   macro avg       0.50      0.53      0.44    131227
weighted avg       0.99      0.78      0.87    131227

Accuracy: 0.7753130072317435

40-80%

              precision    recall  f1-score   support

           0       0.00      0.28      0.01       169
           1       1.00      0.78      0.87     65234

    accuracy                           0.77     65403
   macro avg       0.50      0.53      0.44     65403
weighted avg       1.00      0.77      0.87     65403

Accuracy: 0.7748880020794153

              precision    recall  f1-score   support

           0       0.75      0.52      0.61  28055435
           1       0.55      0.77      0.64  21716758

    accuracy                           0.63  49772193
   macro avg       0.65      0.64      0.63  49772193
weighted avg       0.66      0.63      0.63  49772193

Accuracy: 0.6285807418612236

80-90%

              precision    recall  f1-score   support

           0       0.00      0.33      0.01        15
           1       1.00      0.77      0.87      7371

    accuracy                           0.77      7386
   macro avg       0.50      0.55      0.44      7386
weighted avg       1.00      0.77      0.87      7386

Accuracy: 0.7705117790414298

90-100%

              precision    recall  f1-score   support

           0       0.00      0.33      0.01        18
           1       1.00      0.79      0.88      5686

    accuracy                           0.79      5704
   macro avg       0.50      0.56      0.45      5704
weighted avg       0.99      0.79      0.88      5704

Accuracy: 0.7866409537166901

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.74      0.58      0.65  26119367
           1       0.60      0.76      0.67  21615229

    accuracy                           0.66  47734596
   macro avg       0.67      0.67      0.66  47734596
weighted avg       0.68      0.66      0.66  47734596

Accuracy: 0.6590226300438365

              precision    recall  f1-score   support

           0       0.74      0.58      0.65  26119367
           1       0.60      0.76      0.67  21615229

    accuracy                           0.66  47734596
   macro avg       0.67      0.67      0.66  47734596
weighted avg       0.68      0.66      0.66  47734596

Accuracy: 0.6590226300438365

0-1%

              precision    recall  f1-score   support

           0       0.98      0.78      0.87  12053010
           1       0.12      0.70      0.20    508421

    accuracy                           0.78  12561431
   macro avg       0.55      0.74      0.54  12561431
weighted avg       0.95      0.78      0.84  12561431

Accuracy: 0.7775252676227732

              precision    recall  f1-score   support

           0       0.98      0.78      0.87  12053010
           1       0.12      0.70      0.20    508421

    accuracy                           0.78  12561431
   macro avg       0.55      0.74      0.54  12561431
weighted avg       0.95      0.78      0.84  12561431

Accuracy: 0.7775252676227732

1-10%

              precision    recall  f1-score   support

           0       0.80      0.59      0.68  25421477
           1       0.52      0.76      0.61  14975241

    accuracy                           0.65  40396718
   macro avg       0.66      0.67      0.65  40396718
weighted avg       0.70      0.65      0.65  40396718

Accuracy: 0.6483005129278077

              precision    recall  f1-score   support

           0       0.61      0.41      0.49  13368467
           1       0.58      0.76      0.66  14466820

    accuracy                           0.59  27835287
   macro avg       0.59      0.58      0.57  27835287
weighted avg       0.59      0.59      0.58  27835287

Accuracy: 0.5899843245733374

10-20%

              precision    recall  f1-score   support

           0       0.16      0.31      0.21    503365
           1       0.88      0.76      0.82   3387274

    accuracy                           0.71   3890639
   macro avg       0.52      0.54      0.52   3890639
weighted avg       0.79      0.71      0.74   3890639

Accuracy: 0.7052293980500376

20-40%

              precision    recall  f1-score   support

           0       0.75      0.58      0.65  26072330
           1       0.58      0.76      0.66  20332940

    accuracy                           0.66  46405270
   macro avg       0.67      0.67      0.66  46405270
weighted avg       0.68      0.66      0.66  46405270

Accuracy: 0.656706856785878

              precision    recall  f1-score   support

           0       0.09      0.31      0.14    147488
           1       0.94      0.76      0.84   1970425

    accuracy                           0.73   2117913
   macro avg       0.51      0.53      0.49   2117913
weighted avg       0.88      0.73      0.79   2117913

Accuracy: 0.7279113920165748

40-80%

              precision    recall  f1-score   support

           0       0.74      0.58      0.65  26113946
           1       0.60      0.76      0.67  21397219

    accuracy                           0.66  47511165
   macro avg       0.67      0.67      0.66  47511165
weighted avg       0.68      0.66      0.66  47511165

Accuracy: 0.6586280929966672

              precision    recall  f1-score   support

           0       0.05      0.31      0.08     41616
           1       0.97      0.76      0.85   1064279

    accuracy                           0.74   1105895
   macro avg       0.51      0.53      0.47   1105895
weighted avg       0.93      0.74      0.82   1105895

Accuracy: 0.7392464926597914

80-90%

              precision    recall  f1-score   support

           0       0.03      0.32      0.06      3093
           1       0.98      0.75      0.85    120943

    accuracy                           0.74    124036
   macro avg       0.51      0.54      0.45    124036
weighted avg       0.95      0.74      0.83    124036

Accuracy: 0.7423328711019381

90-100%

              precision    recall  f1-score   support

           0       0.03      0.31      0.05      2328
           1       0.98      0.75      0.85     97067

    accuracy                           0.74     99395
   macro avg       0.50      0.53      0.45     99395
weighted avg       0.96      0.74      0.83     99395

Accuracy: 0.7436490769153378

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.76      0.60      0.67  24893266
           1       0.61      0.77      0.68  20563095

    accuracy                           0.68  45456361
   macro avg       0.69      0.68      0.68  45456361
weighted avg       0.69      0.68      0.67  45456361

Accuracy: 0.6755559249452459

              precision    recall  f1-score   support

           0       0.76      0.60      0.67  24893266
           1       0.61      0.77      0.68  20563095

    accuracy                           0.68  45456361
   macro avg       0.69      0.68      0.68  45456361
weighted avg       0.69      0.68      0.67  45456361

Accuracy: 0.6755559249452459

0-1%

              precision    recall  f1-score   support

           0       1.00      0.95      0.97   4873589
           1       0.01      0.71      0.02      3872

    accuracy                           0.95   4877461
   macro avg       0.51      0.83      0.50   4877461
weighted avg       1.00      0.95      0.97   4877461

Accuracy: 0.9479493531573087

              precision    recall  f1-score   support

           0       1.00      0.95      0.97   4873589
           1       0.01      0.71      0.02      3872

    accuracy                           0.95   4877461
   macro avg       0.51      0.83      0.50   4877461
weighted avg       1.00      0.95      0.97   4877461

Accuracy: 0.9479493531573087

1-10%

              precision    recall  f1-score   support

           0       0.88      0.63      0.74  21822692
           1       0.43      0.76      0.55   8020644

    accuracy                           0.67  29843336
   macro avg       0.66      0.70      0.64  29843336
weighted avg       0.76      0.67      0.69  29843336

Accuracy: 0.667277177055541

              precision    recall  f1-score   support

           0       0.83      0.54      0.66  16949103
           1       0.44      0.76      0.56   8016772

    accuracy                           0.61  24965875
   macro avg       0.63      0.65      0.61  24965875
weighted avg       0.70      0.61      0.62  24965875

Accuracy: 0.6124436255488742

10-20%

              precision    recall  f1-score   support

           0       0.82      0.61      0.70  23880186
           1       0.53      0.77      0.62  13481800

    accuracy                           0.67  37361986
   macro avg       0.67      0.69      0.66  37361986
weighted avg       0.72      0.67      0.67  37361986

Accuracy: 0.6666577360207779

              precision    recall  f1-score   support

           0       0.38      0.37      0.37   2057494
           1       0.77      0.78      0.77   5461156

    accuracy                           0.66   7518650
   macro avg       0.57      0.57      0.57   7518650
weighted avg       0.66      0.66      0.66   7518650

Accuracy: 0.6641990250909405

20-40%

              precision    recall  f1-score   support

           0       0.78      0.60      0.68  24625160
           1       0.58      0.77      0.66  17542339

    accuracy                           0.67  42167499
   macro avg       0.68      0.69      0.67  42167499
weighted avg       0.70      0.67      0.67  42167499

Accuracy: 0.6712240865885833

              precision    recall  f1-score   support

           0       0.22      0.36      0.27    744974
           1       0.87      0.77      0.82   4060539

    accuracy                           0.71   4805513
   macro avg       0.54      0.56      0.54   4805513
weighted avg       0.77      0.71      0.73   4805513

Accuracy: 0.7067266283537262

40-80%

              precision    recall  f1-score   support

           0       0.76      0.60      0.67  24861069
           1       0.61      0.77      0.68  20026114

    accuracy                           0.67  44887183
   macro avg       0.68      0.68      0.67  44887183
weighted avg       0.69      0.67      0.67  44887183

Accuracy: 0.6747597192722029

              precision    recall  f1-score   support

           0       0.13      0.35      0.19    235909
           1       0.93      0.77      0.84   2483775

    accuracy                           0.73   2719684
   macro avg       0.53      0.56      0.51   2719684
weighted avg       0.86      0.73      0.78   2719684

Accuracy: 0.7295781421665164

80-90%

              precision    recall  f1-score   support

           0       0.09      0.36      0.14     18577
           1       0.95      0.76      0.84    296772

    accuracy                           0.74    315349
   macro avg       0.52      0.56      0.49    315349
weighted avg       0.90      0.74      0.80    315349

Accuracy: 0.7371325103298251

90-100%

              precision    recall  f1-score   support

           0       0.08      0.36      0.13     13620
           1       0.95      0.76      0.85    240209

    accuracy                           0.74    253829
   macro avg       0.52      0.56      0.49    253829
weighted avg       0.91      0.74      0.81    253829

Accuracy: 0.7398563599903872

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.79      0.63      0.70  22531902
           1       0.61      0.78      0.69  16938696

    accuracy                           0.70  39470598
   macro avg       0.70      0.71      0.70  39470598
weighted avg       0.72      0.70      0.70  39470598

Accuracy: 0.6961702480413395

              precision    recall  f1-score   support

           0       0.79      0.63      0.70  22531902
           1       0.61      0.78      0.69  16938696

    accuracy                           0.70  39470598
   macro avg       0.70      0.71      0.70  39470598
weighted avg       0.72      0.70      0.70  39470598

Accuracy: 0.6961702480413395

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9993316124720081

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9993316124720081

1-10%

              precision    recall  f1-score   support

           0       0.97      0.76      0.85  12989887
           1       0.24      0.76      0.36   1271288

    accuracy                           0.76  14261175
   macro avg       0.60      0.76      0.61  14261175
weighted avg       0.90      0.76      0.81  14261175

Accuracy: 0.7610588187859696

              precision    recall  f1-score   support

           0       0.96      0.73      0.83  11439888
           1       0.24      0.76      0.36   1271288

    accuracy                           0.73  12711176
   macro avg       0.60      0.74      0.60  12711176
weighted avg       0.89      0.73      0.78  12711176

Accuracy: 0.7320038680921419

10-20%

              precision    recall  f1-score   support

           0       0.92      0.68      0.78  18034328
           1       0.41      0.78      0.54   5083660

    accuracy                           0.70  23117988
   macro avg       0.66      0.73      0.66  23117988
weighted avg       0.80      0.70      0.73  23117988

Accuracy: 0.7036668156415689

              precision    recall  f1-score   support

           0       0.75      0.48      0.59   5044441
           1       0.53      0.78      0.63   3812372

    accuracy                           0.61   8856813
   macro avg       0.64      0.63      0.61   8856813
weighted avg       0.65      0.61      0.61   8856813

Accuracy: 0.611254635273433

20-40%

              precision    recall  f1-score   support

           0       0.52      0.43      0.47   2995598
           1       0.72      0.79      0.75   5583215

    accuracy                           0.66   8578813
   macro avg       0.62      0.61      0.61   8578813
weighted avg       0.65      0.66      0.65   8578813

Accuracy: 0.6628321423954573

              precision    recall  f1-score   support

           0       0.85      0.65      0.74  21029926
           1       0.53      0.78      0.63  10666875

    accuracy                           0.69  31696801
   macro avg       0.69      0.71      0.68  31696801
weighted avg       0.74      0.69      0.70  31696801

Accuracy: 0.6926148162396577

40-80%

              precision    recall  f1-score   support

           0       0.33      0.41      0.37   1295061
           1       0.84      0.78      0.81   5001564

    accuracy                           0.71   6296625
   macro avg       0.58      0.60      0.59   6296625
weighted avg       0.73      0.71      0.72   6296625

Accuracy: 0.7068896432612709

              precision    recall  f1-score   support

           0       0.81      0.63      0.71  22324987
           1       0.60      0.78      0.68  15668439

    accuracy                           0.69  37993426
   macro avg       0.70      0.71      0.69  37993426
weighted avg       0.72      0.69      0.70  37993426

Accuracy: 0.6949805737445209

80-90%

              precision    recall  f1-score   support

           0       0.24      0.41      0.30    117971
           1       0.89      0.78      0.83    692761

    accuracy                           0.73    810732
   macro avg       0.56      0.59      0.56    810732
weighted avg       0.79      0.73      0.75    810732

Accuracy: 0.7250583423375419

90-100%

              precision    recall  f1-score   support

           0       0.22      0.41      0.29     88944
           1       0.89      0.78      0.83    577496

    accuracy                           0.73    666440
   macro avg       0.56      0.59      0.56    666440
weighted avg       0.80      0.73      0.76    666440

Accuracy: 0.7288503091050957

LR_8_decay_vtime_w_0_5

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398

              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398

0-1%

              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446

              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446

1-10%

              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243

              precision    recall  f1-score   support

           0       0.57      1.00      0.73  28052152
           1       0.00      0.00      0.00  21263340

    accuracy                           0.57  49315492
   macro avg       0.28      0.50      0.36  49315492
weighted avg       0.32      0.57      0.41  49315492

Accuracy: 0.568830419455209

10-20%

              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487

              precision    recall  f1-score   support

           0       0.57      1.00      0.72  28054607
           1       0.00      0.00      0.00  21520956

    accuracy                           0.57  49575563
   macro avg       0.28      0.50      0.36  49575563
weighted avg       0.32      0.57      0.41  49575563

Accuracy: 0.5658958830180103

20-40%

              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055266
           1       0.00      0.00      0.00  21651524

    accuracy                           0.56  49706790
   macro avg       0.28      0.50      0.36  49706790
weighted avg       0.32      0.56      0.41  49706790

Accuracy: 0.5644151634012174

              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288

40-80%

              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375

              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055435
           1       0.00      0.00      0.00  21716758

    accuracy                           0.56  49772193
   macro avg       0.28      0.50      0.36  49772193
weighted avg       0.32      0.56      0.41  49772193

Accuracy: 0.5636768908293834

80-90%

              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455

90-100%

              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.58      0.95      0.72  26119367
           1       0.72      0.16      0.27  21615229

    accuracy                           0.59  47734596
   macro avg       0.65      0.56      0.49  47734596
weighted avg       0.64      0.59      0.51  47734596

Accuracy: 0.592654644023802

              precision    recall  f1-score   support

           0       0.58      0.95      0.72  26119367
           1       0.72      0.16      0.27  21615229

    accuracy                           0.59  47734596
   macro avg       0.65      0.56      0.49  47734596
weighted avg       0.64      0.59      0.51  47734596

Accuracy: 0.592654644023802

0-1%

              precision    recall  f1-score   support

           0       0.96      0.99      0.98  12053010
           1       0.41      0.14      0.21    508421

    accuracy                           0.96  12561431
   macro avg       0.69      0.56      0.59  12561431
weighted avg       0.94      0.96      0.95  12561431

Accuracy: 0.9570162030106283

              precision    recall  f1-score   support

           0       0.96      0.99      0.98  12053010
           1       0.41      0.14      0.21    508421

    accuracy                           0.96  12561431
   macro avg       0.69      0.56      0.59  12561431
weighted avg       0.94      0.96      0.95  12561431

Accuracy: 0.9570162030106283

1-10%

              precision    recall  f1-score   support

           0       0.66      0.95      0.78  25421477
           1       0.66      0.16      0.25  14975241

    accuracy                           0.66  40396718
   macro avg       0.66      0.55      0.52  40396718
weighted avg       0.66      0.66      0.58  40396718

Accuracy: 0.6571021437929685

              precision    recall  f1-score   support

           0       0.50      0.91      0.65  13368467
           1       0.67      0.16      0.26  14466820

    accuracy                           0.52  27835287
   macro avg       0.58      0.54      0.45  27835287
weighted avg       0.59      0.52      0.44  27835287

Accuracy: 0.5217577602127832

10-20%

              precision    recall  f1-score   support

           0       0.61      0.95      0.75  25924842
           1       0.69      0.16      0.26  18362515

    accuracy                           0.62  44287357
   macro avg       0.65      0.55      0.50  44287357
weighted avg       0.65      0.62      0.54  44287357

Accuracy: 0.6222306515152846

              precision    recall  f1-score   support

           0       0.13      0.85      0.23    503365
           1       0.88      0.17      0.29   3387274

    accuracy                           0.26   3890639
   macro avg       0.51      0.51      0.26   3890639
weighted avg       0.79      0.26      0.28   3890639

Accuracy: 0.2601580357365461

20-40%

              precision    recall  f1-score   support

           0       0.59      0.95      0.73  26072330
           1       0.71      0.16      0.26  20332940

    accuracy                           0.60  46405270
   macro avg       0.65      0.56      0.50  46405270
weighted avg       0.64      0.60      0.53  46405270

Accuracy: 0.6039405222725781

              precision    recall  f1-score   support

           0       0.07      0.84      0.13    147488
           1       0.94      0.17      0.29   1970425

    accuracy                           0.22   2117913
   macro avg       0.50      0.51      0.21   2117913
weighted avg       0.88      0.22      0.28   2117913

Accuracy: 0.22147840822545592

40-80%

              precision    recall  f1-score   support

           0       0.58      0.95      0.72  26113946
           1       0.72      0.16      0.27  21397219

    accuracy                           0.59  47511165
   macro avg       0.65      0.56      0.49  47511165
weighted avg       0.64      0.59      0.52  47511165

Accuracy: 0.594540188606194

              precision    recall  f1-score   support

           0       0.04      0.85      0.07     41616
           1       0.97      0.17      0.30   1064279

    accuracy                           0.20   1105895
   macro avg       0.50      0.51      0.18   1105895
weighted avg       0.93      0.20      0.29   1105895

Accuracy: 0.2000859032729147

80-90%

              precision    recall  f1-score   support

           0       0.03      0.85      0.05      3093
           1       0.98      0.18      0.30    120943

    accuracy                           0.19    124036
   macro avg       0.50      0.51      0.17    124036
weighted avg       0.95      0.19      0.29    124036

Accuracy: 0.19328259537553613

90-100%

              precision    recall  f1-score   support

           0       0.02      0.85      0.05      2328
           1       0.98      0.17      0.30     97067

    accuracy                           0.19     99395
   macro avg       0.50      0.51      0.17     99395
weighted avg       0.96      0.19      0.29     99395

Accuracy: 0.18973791438201118

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.60      0.92      0.73  24893266
           1       0.74      0.26      0.39  20563095

    accuracy                           0.63  45456361
   macro avg       0.67      0.59      0.56  45456361
weighted avg       0.67      0.63      0.58  45456361

Accuracy: 0.6253410826264777

              precision    recall  f1-score   support

           0       0.60      0.92      0.73  24893266
           1       0.74      0.26      0.39  20563095

    accuracy                           0.63  45456361
   macro avg       0.67      0.59      0.56  45456361
weighted avg       0.67      0.63      0.58  45456361

Accuracy: 0.6253410826264777

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.24      0.21      0.23      3872

    accuracy                           1.00   4877461
   macro avg       0.62      0.61      0.61   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9988399702222119

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.24      0.21      0.23      3872

    accuracy                           1.00   4877461
   macro avg       0.62      0.61      0.61   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9988399702222119

1-10%

              precision    recall  f1-score   support

           0       0.77      0.94      0.85  21822692
           1       0.62      0.25      0.36   8020644

    accuracy                           0.76  29843336
   macro avg       0.69      0.60      0.60  29843336
weighted avg       0.73      0.76      0.72  29843336

Accuracy: 0.756489824059884

              precision    recall  f1-score   support

           0       0.72      0.93      0.81  16949103
           1       0.62      0.25      0.36   8016772

    accuracy                           0.71  24965875
   macro avg       0.67      0.59      0.58  24965875
weighted avg       0.69      0.71      0.67  24965875

Accuracy: 0.7091430602772785

10-20%

              precision    recall  f1-score   support

           0       0.69      0.93      0.79  23880186
           1       0.68      0.26      0.37  13481800

    accuracy                           0.69  37361986
   macro avg       0.68      0.59      0.58  37361986
weighted avg       0.69      0.69      0.64  37361986

Accuracy: 0.6881000651303707

              precision    recall  f1-score   support

           0       0.29      0.81      0.43   2057494
           1       0.79      0.27      0.40   5461156

    accuracy                           0.42   7518650
   macro avg       0.54      0.54      0.42   7518650
weighted avg       0.65      0.42      0.41   7518650

Accuracy: 0.41664461040213335

20-40%

              precision    recall  f1-score   support

           0       0.64      0.93      0.76  24625160
           1       0.72      0.26      0.38  17542339

    accuracy                           0.65  42167499
   macro avg       0.68      0.59      0.57  42167499
weighted avg       0.67      0.65      0.60  42167499

Accuracy: 0.6497353091773358

              precision    recall  f1-score   support

           0       0.17      0.79      0.27    744974
           1       0.87      0.27      0.41   4060539

    accuracy                           0.35   4805513
   macro avg       0.52      0.53      0.34   4805513
weighted avg       0.76      0.35      0.39   4805513

Accuracy: 0.3514563377520777

40-80%

              precision    recall  f1-score   support

           0       0.61      0.93      0.73  24861069
           1       0.74      0.26      0.39  20026114

    accuracy                           0.63  44887183
   macro avg       0.67      0.59      0.56  44887183
weighted avg       0.67      0.63      0.58  44887183

Accuracy: 0.6294844566209468

              precision    recall  f1-score   support

           0       0.09      0.78      0.17    235909
           1       0.93      0.27      0.42   2483775

    accuracy                           0.32   2719684
   macro avg       0.51      0.53      0.29   2719684
weighted avg       0.86      0.32      0.40   2719684

Accuracy: 0.3155039335452207

80-90%

              precision    recall  f1-score   support

           0       0.06      0.79      0.12     18577
           1       0.95      0.27      0.42    296772

    accuracy                           0.30    315349
   macro avg       0.51      0.53      0.27    315349
weighted avg       0.90      0.30      0.40    315349

Accuracy: 0.299712382154375

90-100%

              precision    recall  f1-score   support

           0       0.06      0.79      0.11     13620
           1       0.96      0.27      0.42    240209

    accuracy                           0.30    253829
   macro avg       0.51      0.53      0.26    253829
weighted avg       0.91      0.30      0.40    253829

Accuracy: 0.297176445559806

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.66      0.93      0.77  22531902
           1       0.79      0.36      0.50  16938696

    accuracy                           0.68  39470598
   macro avg       0.72      0.64      0.63  39470598
weighted avg       0.71      0.68      0.65  39470598

Accuracy: 0.6836500424949224

              precision    recall  f1-score   support

           0       0.66      0.93      0.77  22531902
           1       0.79      0.36      0.50  16938696

    accuracy                           0.68  39470598
   macro avg       0.72      0.64      0.63  39470598
weighted avg       0.71      0.68      0.65  39470598

Accuracy: 0.6836500424949224

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0

1-10%

              precision    recall  f1-score   support

           0       0.94      0.97      0.95  12989887
           1       0.55      0.32      0.40   1271288

    accuracy                           0.92  14261175
   macro avg       0.74      0.65      0.68  14261175
weighted avg       0.90      0.92      0.91  14261175

Accuracy: 0.9159661809072535

              precision    recall  f1-score   support

           0       0.93      0.97      0.95  11439888
           1       0.55      0.32      0.40   1271288

    accuracy                           0.91  12711176
   macro avg       0.74      0.64      0.68  12711176
weighted avg       0.89      0.91      0.89  12711176

Accuracy: 0.905719108916437

10-20%

              precision    recall  f1-score   support

           0       0.84      0.95      0.89  18034328
           1       0.66      0.34      0.45   5083660

    accuracy                           0.82  23117988
   macro avg       0.75      0.65      0.67  23117988
weighted avg       0.80      0.82      0.79  23117988

Accuracy: 0.8174659490263599

              precision    recall  f1-score   support

           0       0.65      0.89      0.75   5044441
           1       0.71      0.35      0.47   3812372

    accuracy                           0.66   8856813
   macro avg       0.68      0.62      0.61   8856813
weighted avg       0.67      0.66      0.63   8856813

Accuracy: 0.658861601797396

20-40%

              precision    recall  f1-score   support

           0       0.42      0.84      0.56   2995598
           1       0.81      0.37      0.51   5583215

    accuracy                           0.53   8578813
   macro avg       0.61      0.60      0.53   8578813
weighted avg       0.67      0.53      0.52   8578813

Accuracy: 0.5332129281754947

              precision    recall  f1-score   support

           0       0.74      0.93      0.83  21029926
           1       0.74      0.36      0.48  10666875

    accuracy                           0.74  31696801
   macro avg       0.74      0.65      0.65  31696801
weighted avg       0.74      0.74      0.71  31696801

Accuracy: 0.7405322070198819

40-80%

              precision    recall  f1-score   support

           0       0.25      0.80      0.38   1295061
           1       0.88      0.37      0.52   5001564

    accuracy                           0.46   6296625
   macro avg       0.56      0.59      0.45   6296625
weighted avg       0.75      0.46      0.49   6296625

Accuracy: 0.45825088837273936

              precision    recall  f1-score   support

           0       0.67      0.93      0.78  22324987
           1       0.78      0.36      0.49  15668439

    accuracy                           0.69  37993426
   macro avg       0.73      0.64      0.64  37993426
weighted avg       0.72      0.69      0.66  37993426

Accuracy: 0.6937499134718728

80-90%

              precision    recall  f1-score   support

           0       0.18      0.79      0.29    117971
           1       0.91      0.36      0.52    692761

    accuracy                           0.43    810732
   macro avg       0.54      0.58      0.40    810732
weighted avg       0.80      0.43      0.49    810732

Accuracy: 0.4263936787989126

90-100%

              precision    recall  f1-score   support

           0       0.16      0.79      0.27     88944
           1       0.92      0.36      0.52    577496

    accuracy                           0.42    666440
   macro avg       0.54      0.58      0.39    666440
weighted avg       0.82      0.42      0.49    666440

Accuracy: 0.42081657763639635

LR_8_decay_vtime_w_0_75

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.63      0.84      0.72  28055468
           1       0.64      0.36      0.46  21729815

    accuracy                           0.63  49785283
   macro avg       0.63      0.60      0.59  49785283
weighted avg       0.63      0.63      0.60  49785283

Accuracy: 0.6298674650498622

              precision    recall  f1-score   support

           0       0.63      0.84      0.72  28055468
           1       0.64      0.36      0.46  21729815

    accuracy                           0.63  49785283
   macro avg       0.63      0.60      0.59  49785283
weighted avg       0.63      0.63      0.60  49785283

Accuracy: 0.6298674650498622

0-1%

              precision    recall  f1-score   support

           0       0.68      0.84      0.75  27764588
           1       0.58      0.35      0.43  17098553

    accuracy                           0.66  44863141
   macro avg       0.63      0.60      0.59  44863141
weighted avg       0.64      0.66      0.63  44863141

Accuracy: 0.6552110562209632

              precision    recall  f1-score   support

           0       0.68      0.84      0.75  27764588
           1       0.58      0.35      0.43  17098553

    accuracy                           0.66  44863141
   macro avg       0.63      0.60      0.59  44863141
weighted avg       0.64      0.66      0.63  44863141

Accuracy: 0.6552110562209632

1-10%

              precision    recall  f1-score   support

           0       0.07      0.63      0.12    287564
           1       0.94      0.38      0.55   4164787

    accuracy                           0.40   4452351
   macro avg       0.50      0.51      0.33   4452351
weighted avg       0.88      0.40      0.52   4452351

Accuracy: 0.39994488305167314

              precision    recall  f1-score   support

           0       0.63      0.84      0.72  28052152
           1       0.63      0.35      0.45  21263340

    accuracy                           0.63  49315492
   macro avg       0.63      0.60      0.59  49315492
weighted avg       0.63      0.63      0.61  49315492

Accuracy: 0.6321648580531246

10-20%

              precision    recall  f1-score   support

           0       0.01      0.61      0.02      2455
           1       0.99      0.39      0.56    257616

    accuracy                           0.39    260071
   macro avg       0.50      0.50      0.29    260071
weighted avg       0.98      0.39      0.55    260071

Accuracy: 0.3890283807114211

              precision    recall  f1-score   support

           0       0.63      0.84      0.72  28054607
           1       0.63      0.36      0.46  21520956

    accuracy                           0.63  49575563
   macro avg       0.63      0.60      0.59  49575563
weighted avg       0.63      0.63      0.61  49575563

Accuracy: 0.6308893758806128

20-40%

              precision    recall  f1-score   support

           0       0.63      0.84      0.72  28055266
           1       0.63      0.36      0.46  21651524

    accuracy                           0.63  49706790
   macro avg       0.63      0.60      0.59  49706790
weighted avg       0.63      0.63      0.60  49706790

Accuracy: 0.6302454252225903

              precision    recall  f1-score   support

           0       0.01      0.65      0.01       659
           1       1.00      0.39      0.56    130568

    accuracy                           0.39    131227
   macro avg       0.50      0.52      0.28    131227
weighted avg       0.99      0.39      0.55    131227

Accuracy: 0.3869706691458313

40-80%

              precision    recall  f1-score   support

           0       0.00      0.63      0.01       169
           1       1.00      0.39      0.56     65234

    accuracy                           0.39     65403
   macro avg       0.50      0.51      0.28     65403
weighted avg       0.99      0.39      0.56     65403

Accuracy: 0.3915416724003486

              precision    recall  f1-score   support

           0       0.63      0.84      0.72  28055435
           1       0.64      0.36      0.46  21716758

    accuracy                           0.63  49772193
   macro avg       0.63      0.60      0.59  49772193
weighted avg       0.63      0.63      0.60  49772193

Accuracy: 0.6299317572765982

80-90%

              precision    recall  f1-score   support

           0       0.00      0.40      0.00        15
           1       1.00      0.38      0.55      7371

    accuracy                           0.38      7386
   macro avg       0.50      0.39      0.27      7386
weighted avg       0.99      0.38      0.54      7386

Accuracy: 0.37571080422420794

90-100%

              precision    recall  f1-score   support

           0       0.00      0.67      0.01        18
           1       1.00      0.40      0.57      5686

    accuracy                           0.40      5704
   macro avg       0.50      0.53      0.29      5704
weighted avg       0.99      0.40      0.57      5704

Accuracy: 0.3979663394109397

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.66      0.78      0.72  26119367
           1       0.66      0.52      0.58  21615229

    accuracy                           0.66  47734596
   macro avg       0.66      0.65      0.65  47734596
weighted avg       0.66      0.66      0.66  47734596

Accuracy: 0.6619465890106203

              precision    recall  f1-score   support

           0       0.66      0.78      0.72  26119367
           1       0.66      0.52      0.58  21615229

    accuracy                           0.66  47734596
   macro avg       0.66      0.65      0.65  47734596
weighted avg       0.66      0.66      0.66  47734596

Accuracy: 0.6619465890106203

0-1%

              precision    recall  f1-score   support

           0       0.98      0.93      0.95  12053010
           1       0.21      0.45      0.29    508421

    accuracy                           0.91  12561431
   macro avg       0.59      0.69      0.62  12561431
weighted avg       0.94      0.91      0.93  12561431

Accuracy: 0.9101863473994324

              precision    recall  f1-score   support

           0       0.98      0.93      0.95  12053010
           1       0.21      0.45      0.29    508421

    accuracy                           0.91  12561431
   macro avg       0.59      0.69      0.62  12561431
weighted avg       0.94      0.91      0.93  12561431

Accuracy: 0.9101863473994324

1-10%

              precision    recall  f1-score   support

           0       0.73      0.79      0.76  25421477
           1       0.59      0.51      0.55  14975241

    accuracy                           0.69  40396718
   macro avg       0.66      0.65      0.65  40396718
weighted avg       0.68      0.69      0.68  40396718

Accuracy: 0.6866440486576162

              precision    recall  f1-score   support

           0       0.56      0.66      0.61  13368467
           1       0.62      0.51      0.56  14466820

    accuracy                           0.59  27835287
   macro avg       0.59      0.59      0.58  27835287
weighted avg       0.59      0.59      0.58  27835287

Accuracy: 0.5857645010090968

10-20%

              precision    recall  f1-score   support

           0       0.14      0.53      0.22    503365
           1       0.88      0.53      0.66   3387274

    accuracy                           0.53   3890639
   macro avg       0.51      0.53      0.44   3890639
weighted avg       0.79      0.53      0.60   3890639

Accuracy: 0.5278724137603104

20-40%

              precision    recall  f1-score   support

           0       0.67      0.78      0.72  26072330
           1       0.65      0.52      0.57  20332940

    accuracy                           0.67  46405270
   macro avg       0.66      0.65      0.65  46405270
weighted avg       0.66      0.67      0.66  46405270

Accuracy: 0.6659417992827108

              precision    recall  f1-score   support

           0       0.08      0.52      0.13    147488
           1       0.94      0.52      0.67   1970425

    accuracy                           0.52   2117913
   macro avg       0.51      0.52      0.40   2117913
weighted avg       0.88      0.52      0.64   2117913

Accuracy: 0.5247061612068107

40-80%

              precision    recall  f1-score   support

           0       0.66      0.78      0.72  26113946
           1       0.66      0.52      0.58  21397219

    accuracy                           0.66  47511165
   macro avg       0.66      0.65      0.65  47511165
weighted avg       0.66      0.66      0.66  47511165

Accuracy: 0.6626108831471508

              precision    recall  f1-score   support

           0       0.04      0.53      0.08     41616
           1       0.97      0.52      0.68   1064279

    accuracy                           0.52   1105895
   macro avg       0.50      0.53      0.38   1105895
weighted avg       0.93      0.52      0.66   1105895

Accuracy: 0.5228398717780621

80-90%

              precision    recall  f1-score   support

           0       0.03      0.54      0.05      3093
           1       0.98      0.52      0.68    120943

    accuracy                           0.52    124036
   macro avg       0.50      0.53      0.37    124036
weighted avg       0.95      0.52      0.66    124036

Accuracy: 0.5210987132767906

90-100%

              precision    recall  f1-score   support

           0       0.03      0.52      0.05      2328
           1       0.98      0.52      0.68     97067

    accuracy                           0.52     99395
   macro avg       0.50      0.52      0.36     99395
weighted avg       0.96      0.52      0.66     99395

Accuracy: 0.5201770712812516

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.68      0.78      0.73  24893266
           1       0.68      0.56      0.62  20563095

    accuracy                           0.68  45456361
   macro avg       0.68      0.67      0.67  45456361
weighted avg       0.68      0.68      0.68  45456361

Accuracy: 0.6839017975944005

              precision    recall  f1-score   support

           0       0.68      0.78      0.73  24893266
           1       0.68      0.56      0.62  20563095

    accuracy                           0.68  45456361
   macro avg       0.68      0.67      0.67  45456361
weighted avg       0.68      0.68      0.68  45456361

Accuracy: 0.6839017975944005

0-1%

              precision    recall  f1-score   support

           0       1.00      0.99      1.00   4873589
           1       0.05      0.49      0.09      3872

    accuracy                           0.99   4877461
   macro avg       0.52      0.74      0.54   4877461
weighted avg       1.00      0.99      1.00   4877461

Accuracy: 0.9916634904922869

              precision    recall  f1-score   support

           0       1.00      0.99      1.00   4873589
           1       0.05      0.49      0.09      3872

    accuracy                           0.99   4877461
   macro avg       0.52      0.74      0.54   4877461
weighted avg       1.00      0.99      1.00   4877461

Accuracy: 0.9916634904922869

1-10%

              precision    recall  f1-score   support

           0       0.83      0.81      0.82  21822692
           1       0.52      0.55      0.54   8020644

    accuracy                           0.74  29843336
   macro avg       0.68      0.68      0.68  29843336
weighted avg       0.75      0.74      0.75  29843336

Accuracy: 0.7441914670665505

              precision    recall  f1-score   support

           0       0.78      0.76      0.77  16949103
           1       0.53      0.55      0.54   8016772

    accuracy                           0.70  24965875
   macro avg       0.65      0.66      0.66  24965875
weighted avg       0.70      0.70      0.70  24965875

Accuracy: 0.695844067151662

10-20%

              precision    recall  f1-score   support

           0       0.76      0.79      0.78  23880186
           1       0.61      0.56      0.58  13481800

    accuracy                           0.71  37361986
   macro avg       0.68      0.68      0.68  37361986
weighted avg       0.71      0.71      0.71  37361986

Accuracy: 0.7097432668595294

              precision    recall  f1-score   support

           0       0.33      0.57      0.42   2057494
           1       0.78      0.58      0.66   5461156

    accuracy                           0.57   7518650
   macro avg       0.56      0.57      0.54   7518650
weighted avg       0.66      0.57      0.60   7518650

Accuracy: 0.5730100483464452

20-40%

              precision    recall  f1-score   support

           0       0.72      0.79      0.75  24625160
           1       0.65      0.56      0.61  17542339

    accuracy                           0.69  42167499
   macro avg       0.68      0.67      0.68  42167499
weighted avg       0.69      0.69      0.69  42167499

Accuracy: 0.693459291953739

              precision    recall  f1-score   support

           0       0.19      0.54      0.28    744974
           1       0.87      0.57      0.69   4060539

    accuracy                           0.57   4805513
   macro avg       0.53      0.56      0.48   4805513
weighted avg       0.77      0.57      0.63   4805513

Accuracy: 0.5668543608143397

40-80%

              precision    recall  f1-score   support

           0       0.69      0.78      0.73  24861069
           1       0.68      0.56      0.62  20026114

    accuracy                           0.69  44887183
   macro avg       0.68      0.67      0.67  44887183
weighted avg       0.68      0.69      0.68  44887183

Accuracy: 0.6854920479193359

              precision    recall  f1-score   support

           0       0.10      0.54      0.17    235909
           1       0.93      0.56      0.70   2483775

    accuracy                           0.56   2719684
   macro avg       0.52      0.55      0.44   2719684
weighted avg       0.86      0.56      0.66   2719684

Accuracy: 0.5619634486947749

80-90%

              precision    recall  f1-score   support

           0       0.07      0.54      0.13     18577
           1       0.95      0.56      0.70    296772

    accuracy                           0.56    315349
   macro avg       0.51      0.55      0.42    315349
weighted avg       0.90      0.56      0.67    315349

Accuracy: 0.5587174844378767

90-100%

              precision    recall  f1-score   support

           0       0.06      0.54      0.12     13620
           1       0.96      0.56      0.71    240209

    accuracy                           0.56    253829
   macro avg       0.51      0.55      0.41    253829
weighted avg       0.91      0.56      0.67    253829

Accuracy: 0.5582065091065245

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.72      0.82      0.77  22531902
           1       0.71      0.58      0.64  16938696

    accuracy                           0.72  39470598
   macro avg       0.71      0.70      0.70  39470598
weighted avg       0.72      0.72      0.71  39470598

Accuracy: 0.7167018599515518

              precision    recall  f1-score   support

           0       0.72      0.82      0.77  22531902
           1       0.71      0.58      0.64  16938696

    accuracy                           0.72  39470598
   macro avg       0.71      0.70      0.70  39470598
weighted avg       0.72      0.72      0.71  39470598

Accuracy: 0.7167018599515518

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999961290297606

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999961290297606

1-10%

              precision    recall  f1-score   support

           0       0.95      0.91      0.93  12989887
           1       0.37      0.54      0.44   1271288

    accuracy                           0.88  14261175
   macro avg       0.66      0.72      0.69  14261175
weighted avg       0.90      0.88      0.89  14261175

Accuracy: 0.8781143208746824

              precision    recall  f1-score   support

           0       0.95      0.90      0.92  11439888
           1       0.37      0.54      0.44   1271288

    accuracy                           0.86  12711176
   macro avg       0.66      0.72      0.68  12711176
weighted avg       0.89      0.86      0.87  12711176

Accuracy: 0.8632520704614585

10-20%

              precision    recall  f1-score   support

           0       0.87      0.86      0.87  18034328
           1       0.53      0.56      0.55   5083660

    accuracy                           0.80  23117988
   macro avg       0.70      0.71      0.71  23117988
weighted avg       0.80      0.80      0.80  23117988

Accuracy: 0.7950830755686871

              precision    recall  f1-score   support

           0       0.69      0.73      0.71   5044441
           1       0.61      0.57      0.59   3812372

    accuracy                           0.66   8856813
   macro avg       0.65      0.65      0.65   8856813
weighted avg       0.66      0.66      0.66   8856813

Accuracy: 0.66138677648495

20-40%

              precision    recall  f1-score   support

           0       0.47      0.67      0.55   2995598
           1       0.77      0.59      0.67   5583215

    accuracy                           0.62   8578813
   macro avg       0.62      0.63      0.61   8578813
weighted avg       0.66      0.62      0.62   8578813

Accuracy: 0.6159593407619446

40-80%

              precision    recall  f1-score   support

           0       0.29      0.64      0.39   1295061
           1       0.86      0.59      0.70   5001564

    accuracy                           0.60   6296625
   macro avg       0.57      0.61      0.55   6296625
weighted avg       0.74      0.60      0.64   6296625

Accuracy: 0.5965498977626903

              precision    recall  f1-score   support

           0       0.74      0.82      0.78  22324987
           1       0.70      0.58      0.63  15668439

    accuracy                           0.72  37993426
   macro avg       0.72      0.70      0.70  37993426
weighted avg       0.72      0.72      0.72  37993426

Accuracy: 0.7217346495680594

80-90%

              precision    recall  f1-score   support

           0       0.20      0.63      0.31    117971
           1       0.90      0.58      0.71    692761

    accuracy                           0.59    810732
   macro avg       0.55      0.61      0.51    810732
weighted avg       0.80      0.59      0.65    810732

Accuracy: 0.5877725314900608

90-100%

              precision    recall  f1-score   support

           0       0.19      0.63      0.29     88944
           1       0.91      0.58      0.71    577496

    accuracy                           0.59    666440
   macro avg       0.55      0.61      0.50    666440
weighted avg       0.81      0.59      0.65    666440

Accuracy: 0.586628953844307

LR_8_id

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.82      0.75      0.79  28055468
           1       0.71      0.79      0.75  21729815

    accuracy                           0.77  49785283
   macro avg       0.77      0.77      0.77  49785283
weighted avg       0.77      0.77      0.77  49785283

Accuracy: 0.769076736994746

              precision    recall  f1-score   support

           0       0.82      0.75      0.79  28055468
           1       0.71      0.79      0.75  21729815

    accuracy                           0.77  49785283
   macro avg       0.77      0.77      0.77  49785283
weighted avg       0.77      0.77      0.77  49785283

Accuracy: 0.7690767570810032

0-1%

              precision    recall  f1-score   support

           0       0.82      0.76      0.79  27764588
           1       0.65      0.73      0.69  17098553

    accuracy                           0.75  44863141
   macro avg       0.74      0.75      0.74  44863141
weighted avg       0.76      0.75      0.75  44863141

Accuracy: 0.7502710744216505

1-10%

              precision    recall  f1-score   support

           0       0.09      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.93   4452351
   macro avg       0.51      0.50      0.48   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.9349467281442995

10-20%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935

20-40%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.82      0.75      0.78  26119367
           1       0.73      0.80      0.76  21615229

    accuracy                           0.77  47734596
   macro avg       0.77      0.78      0.77  47734596
weighted avg       0.78      0.77      0.77  47734596

Accuracy: 0.7744123779742474

              precision    recall  f1-score   support

           0       0.82      0.75      0.78  26119367
           1       0.73      0.80      0.76  21615229

    accuracy                           0.77  47734596
   macro avg       0.77      0.78      0.77  47734596
weighted avg       0.78      0.77      0.77  47734596

Accuracy: 0.7744123779742474

0-1%

              precision    recall  f1-score   support

           0       0.96      0.99      0.97  12053010
           1       0.22      0.09      0.13    508421

    accuracy                           0.95  12561431
   macro avg       0.59      0.54      0.55  12561431
weighted avg       0.93      0.95      0.94  12561431

Accuracy: 0.9506700311453369

1-10%

              precision    recall  f1-score   support

           0       0.67      0.58      0.62  13368467
           1       0.65      0.74      0.69  14466820

    accuracy                           0.66  27835287
   macro avg       0.66      0.66      0.66  27835287
weighted avg       0.66      0.66      0.66  27835287

Accuracy: 0.6607368912704223

10-20%

              precision    recall  f1-score   support

           0       0.26      0.01      0.02    503365
           1       0.87      1.00      0.93   3387274

    accuracy                           0.87   3890639
   macro avg       0.57      0.50      0.47   3890639
weighted avg       0.79      0.87      0.81   3890639

Accuracy: 0.8687446972078365

20-40%

              precision    recall  f1-score   support

           0       0.49      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.71      0.50      0.48   2117913
weighted avg       0.90      0.93      0.90   2117913

Accuracy: 0.9303611621440541

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.98     99395
   macro avg       0.49      0.50      0.49     99395
weighted avg       0.95      0.98      0.97     99395

Accuracy: 0.9765782987071784

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.83      0.75      0.79  24893266
           1       0.73      0.81      0.77  20563095

    accuracy                           0.78  45456361
   macro avg       0.78      0.78      0.78  45456361
weighted avg       0.78      0.78      0.78  45456361

Accuracy: 0.7766542728750329

              precision    recall  f1-score   support

           0       0.83      0.75      0.79  24893266
           1       0.73      0.81      0.77  20563095

    accuracy                           0.78  45456361
   macro avg       0.78      0.78      0.78  45456361
weighted avg       0.78      0.78      0.78  45456361

Accuracy: 0.7766542508759116

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.09      0.02      0.03      3872

    accuracy                           1.00   4877461
   macro avg       0.54      0.51      0.52   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9990593466559753

1-10%

              precision    recall  f1-score   support

           0       0.79      0.80      0.79  16949103
           1       0.57      0.56      0.56   8016772

    accuracy                           0.72  24965875
   macro avg       0.68      0.68      0.68  24965875
weighted avg       0.72      0.72      0.72  24965875

Accuracy: 0.72113991598532

10-20%

              precision    recall  f1-score   support

           0       0.42      0.13      0.20   2057494
           1       0.74      0.93      0.83   5461156

    accuracy                           0.71   7518650
   macro avg       0.58      0.53      0.51   7518650
weighted avg       0.65      0.71      0.65   7518650

Accuracy: 0.7134387157268924

20-40%

              precision    recall  f1-score   support

           0       0.32      0.02      0.04    744974
           1       0.85      0.99      0.91   4060539

    accuracy                           0.84   4805513
   macro avg       0.58      0.51      0.48   4805513
weighted avg       0.77      0.84      0.78   4805513

Accuracy: 0.8411520268491626

40-80%

              precision    recall  f1-score   support

           0       0.66      0.00      0.00    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.79      0.50      0.48   2719684
weighted avg       0.89      0.91      0.87   2719684

Accuracy: 0.9132936032274338

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.85      0.74      0.79  22531902
           1       0.71      0.82      0.76  16938696

    accuracy                           0.78  39470598
   macro avg       0.78      0.78      0.78  39470598
weighted avg       0.79      0.78      0.78  39470598

Accuracy: 0.7763886425029588

              precision    recall  f1-score   support

           0       0.85      0.74      0.79  22531902
           1       0.71      0.82      0.76  16938696

    accuracy                           0.78  39470598
   macro avg       0.78      0.78      0.78  39470598
weighted avg       0.79      0.78      0.78  39470598

Accuracy: 0.7763886425029588

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0

1-10%

              precision    recall  f1-score   support

           0       0.92      0.97      0.94  11439888
           1       0.45      0.25      0.32   1271288

    accuracy                           0.89  12711176
   macro avg       0.69      0.61      0.63  12711176
weighted avg       0.87      0.89      0.88  12711176

Accuracy: 0.8945675836759714

10-20%

              precision    recall  f1-score   support

           0       0.71      0.65      0.68   5044441
           1       0.58      0.64      0.61   3812372

    accuracy                           0.65   8856813
   macro avg       0.64      0.65      0.64   8856813
weighted avg       0.65      0.65      0.65   8856813

Accuracy: 0.6476544102263422

20-40%

              precision    recall  f1-score   support

           0       0.56      0.25      0.35   2995598
           1       0.69      0.89      0.78   5583215

    accuracy                           0.67   8578813
   macro avg       0.62      0.57      0.56   8578813
weighted avg       0.64      0.67      0.63   8578813

Accuracy: 0.6684277883198992

40-80%

              precision    recall  f1-score   support

           0       0.43      0.05      0.09   1295061
           1       0.80      0.98      0.88   5001564

    accuracy                           0.79   6296625
   macro avg       0.62      0.52      0.48   6296625
weighted avg       0.72      0.79      0.72   6296625

Accuracy: 0.7912157703531654

80-90%

              precision    recall  f1-score   support

           0       0.68      0.01      0.02    117971
           1       0.86      1.00      0.92    692761

    accuracy                           0.86    810732
   macro avg       0.77      0.50      0.47    810732
weighted avg       0.83      0.86      0.79    810732

Accuracy: 0.8551580546962498

90-100%

              precision    recall  f1-score   support

           0       0.76      0.00      0.01     88944
           1       0.87      1.00      0.93    577496

    accuracy                           0.87    666440
   macro avg       0.81      0.50      0.47    666440
weighted avg       0.85      0.87      0.81    666440

Accuracy: 0.8669272552667907

LR_9

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28055468
           1       0.64      0.84      0.73  21729815

    accuracy                           0.72  49785283
   macro avg       0.74      0.74      0.72  49785283
weighted avg       0.75      0.72      0.72  49785283

Accuracy: 0.7248628274343645

              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28055468
           1       0.64      0.84      0.73  21729815

    accuracy                           0.72  49785283
   macro avg       0.74      0.74      0.72  49785283
weighted avg       0.75      0.72      0.72  49785283

Accuracy: 0.72486278726185

0-1%

              precision    recall  f1-score   support

           0       0.84      0.64      0.73  27764588
           1       0.58      0.80      0.67  17098553

    accuracy                           0.70  44863141
   macro avg       0.71      0.72      0.70  44863141
weighted avg       0.74      0.70      0.71  44863141

Accuracy: 0.701951341302652

1-10%

              precision    recall  f1-score   support

           0       0.10      0.01      0.02    287564
           1       0.94      0.99      0.96   4164787

    accuracy                           0.93   4452351
   macro avg       0.52      0.50      0.49   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.9280243179389944

              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28052152
           1       0.64      0.84      0.72  21263340

    accuracy                           0.72  49315492
   macro avg       0.74      0.74      0.72  49315492
weighted avg       0.75      0.72      0.72  49315492

Accuracy: 0.7223619506827591

10-20%

              precision    recall  f1-score   support

           0       0.05      0.02      0.03      2455
           1       0.99      1.00      0.99    257616

    accuracy                           0.99    260071
   macro avg       0.52      0.51      0.51    260071
weighted avg       0.98      0.99      0.98    260071

Accuracy: 0.986534446362724

              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28054607
           1       0.64      0.84      0.72  21520956

    accuracy                           0.72  49575563
   macro avg       0.74      0.74      0.72  49575563
weighted avg       0.75      0.72      0.72  49575563

Accuracy: 0.7237477867876155

20-40%

              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28055266
           1       0.64      0.84      0.73  21651524

    accuracy                           0.72  49706790
   macro avg       0.74      0.74      0.72  49706790
weighted avg       0.75      0.72      0.72  49706790

Accuracy: 0.7244478269467813

              precision    recall  f1-score   support

           0       0.03      0.04      0.03       659
           1       1.00      0.99      0.99    130568

    accuracy                           0.99    131227
   macro avg       0.51      0.52      0.51    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9889123427343458

40-80%

              precision    recall  f1-score   support

           0       0.02      0.08      0.03       169
           1       1.00      0.99      0.99     65234

    accuracy                           0.99     65403
   macro avg       0.51      0.54      0.51     65403
weighted avg       1.00      0.99      0.99     65403

Accuracy: 0.9879057535587052

              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28055435
           1       0.64      0.84      0.73  21716758

    accuracy                           0.72  49772193
   macro avg       0.74      0.74      0.72  49772193
weighted avg       0.75      0.72      0.72  49772193

Accuracy: 0.7247940230401341

80-90%

              precision    recall  f1-score   support

           0       0.01      0.07      0.02        15
           1       1.00      0.99      0.99      7371

    accuracy                           0.99      7386
   macro avg       0.51      0.53      0.51      7386
weighted avg       1.00      0.99      0.99      7386

Accuracy: 0.9879501760086651

90-100%

              precision    recall  f1-score   support

           0       0.05      0.22      0.08        18
           1       1.00      0.99      0.99      5686

    accuracy                           0.98      5704
   macro avg       0.52      0.60      0.54      5704
weighted avg       0.99      0.98      0.99      5704

Accuracy: 0.9847475455820477

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.83      0.64      0.73  26119367
           1       0.66      0.85      0.74  21615229

    accuracy                           0.73  47734596
   macro avg       0.75      0.74      0.73  47734596
weighted avg       0.76      0.73      0.73  47734596

Accuracy: 0.7341014680421721

              precision    recall  f1-score   support

           0       0.83      0.64      0.73  26119367
           1       0.66      0.85      0.74  21615229

    accuracy                           0.73  47734596
   macro avg       0.75      0.74      0.73  47734596
weighted avg       0.76      0.73      0.73  47734596

Accuracy: 0.7341014680421721

0-1%

              precision    recall  f1-score   support

           0       0.97      0.91      0.94  12053010
           1       0.10      0.23      0.14    508421

    accuracy                           0.88  12561431
   macro avg       0.53      0.57      0.54  12561431
weighted avg       0.93      0.88      0.90  12561431

Accuracy: 0.8822924712956669

              precision    recall  f1-score   support

           0       0.97      0.91      0.94  12053010
           1       0.10      0.23      0.14    508421

    accuracy                           0.88  12561431
   macro avg       0.53      0.57      0.54  12561431
weighted avg       0.93      0.88      0.90  12561431

Accuracy: 0.8822924712956669

1-10%

              precision    recall  f1-score   support

           0       0.84      0.66      0.74  25421477
           1       0.58      0.79      0.67  14975241

    accuracy                           0.71  40396718
   macro avg       0.71      0.72      0.70  40396718
weighted avg       0.74      0.71      0.71  40396718

Accuracy: 0.7065304909176038

              precision    recall  f1-score   support

           0       0.68      0.43      0.53  13368467
           1       0.61      0.81      0.69  14466820

    accuracy                           0.63  27835287
   macro avg       0.64      0.62      0.61  27835287
weighted avg       0.64      0.63      0.61  27835287

Accuracy: 0.6272131126221189

10-20%

              precision    recall  f1-score   support

           0       0.84      0.65      0.73  25924842
           1       0.62      0.82      0.71  18362515

    accuracy                           0.72  44287357
   macro avg       0.73      0.73      0.72  44287357
weighted avg       0.75      0.72      0.72  44287357

Accuracy: 0.7192857772027353

              precision    recall  f1-score   support

           0       0.20      0.05      0.08    503365
           1       0.87      0.97      0.92   3387274

    accuracy                           0.85   3890639
   macro avg       0.54      0.51      0.50   3890639
weighted avg       0.79      0.85      0.81   3890639

Accuracy: 0.8517246138744818

20-40%

              precision    recall  f1-score   support

           0       0.84      0.64      0.73  26072330
           1       0.65      0.84      0.73  20332940

    accuracy                           0.73  46405270
   macro avg       0.74      0.74      0.73  46405270
weighted avg       0.75      0.73      0.73  46405270

Accuracy: 0.7280703032220263

              precision    recall  f1-score   support

           0       0.12      0.04      0.06    147488
           1       0.93      0.98      0.95   1970425

    accuracy                           0.91   2117913
   macro avg       0.53      0.51      0.51   2117913
weighted avg       0.88      0.91      0.89   2117913

Accuracy: 0.9117621923091269

40-80%

              precision    recall  f1-score   support

           0       0.83      0.64      0.73  26113946
           1       0.66      0.84      0.74  21397219

    accuracy                           0.73  47511165
   macro avg       0.75      0.74      0.73  47511165
weighted avg       0.76      0.73      0.73  47511165

Accuracy: 0.7330627863997863

              precision    recall  f1-score   support

           0       0.07      0.05      0.06     41616
           1       0.96      0.98      0.97   1064279

    accuracy                           0.94   1105895
   macro avg       0.52      0.51      0.51   1105895
weighted avg       0.93      0.94      0.94   1105895

Accuracy: 0.9425560292794524

80-90%

              precision    recall  f1-score   support

           0       0.06      0.06      0.06      3093
           1       0.98      0.98      0.98    120943

    accuracy                           0.95    124036
   macro avg       0.52      0.52      0.52    124036
weighted avg       0.95      0.95      0.95    124036

Accuracy: 0.954053661840111

90-100%

              precision    recall  f1-score   support

           0       0.06      0.06      0.06      2328
           1       0.98      0.98      0.98     97067

    accuracy                           0.96     99395
   macro avg       0.52      0.52      0.52     99395
weighted avg       0.96      0.96      0.96     99395

Accuracy: 0.9561144926807184

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.84      0.65      0.73  24893266
           1       0.66      0.85      0.74  20563095

    accuracy                           0.74  45456361
   macro avg       0.75      0.75      0.74  45456361
weighted avg       0.76      0.74      0.74  45456361

Accuracy: 0.7366477048173742

              precision    recall  f1-score   support

           0       0.84      0.65      0.73  24893266
           1       0.66      0.85      0.74  20563095

    accuracy                           0.74  45456361
   macro avg       0.75      0.75      0.74  45456361
weighted avg       0.76      0.74      0.74  45456361

Accuracy: 0.7366477048173742

0-1%

              precision    recall  f1-score   support

           0       1.00      0.98      0.99   4873589
           1       0.01      0.11      0.01      3872

    accuracy                           0.98   4877461
   macro avg       0.50      0.55      0.50   4877461
weighted avg       1.00      0.98      0.99   4877461

Accuracy: 0.9834586068448318

1-10%

              precision    recall  f1-score   support

           0       0.86      0.72      0.79  21822692
           1       0.48      0.69      0.56   8020644

    accuracy                           0.71  29843336
   macro avg       0.67      0.70      0.67  29843336
weighted avg       0.76      0.71      0.73  29843336

Accuracy: 0.7123905651834634

              precision    recall  f1-score   support

           0       0.81      0.65      0.72  16949103
           1       0.48      0.69      0.56   8016772

    accuracy                           0.66  24965875
   macro avg       0.65      0.67      0.64  24965875
weighted avg       0.71      0.66      0.67  24965875

Accuracy: 0.6594332463813105

10-20%

              precision    recall  f1-score   support

           0       0.85      0.67      0.75  23880186
           1       0.57      0.79      0.66  13481800

    accuracy                           0.71  37361986
   macro avg       0.71      0.73      0.71  37361986
weighted avg       0.75      0.71      0.72  37361986

Accuracy: 0.7124592895035077

              precision    recall  f1-score   support

           0       0.42      0.13      0.19   2057494
           1       0.74      0.93      0.83   5461156

    accuracy                           0.71   7518650
   macro avg       0.58      0.53      0.51   7518650
weighted avg       0.65      0.71      0.65   7518650

Accuracy: 0.7127320729120254

20-40%

              precision    recall  f1-score   support

           0       0.84      0.65      0.73  24625160
           1       0.63      0.83      0.71  17542339

    accuracy                           0.72  42167499
   macro avg       0.73      0.74      0.72  42167499
weighted avg       0.75      0.72      0.73  42167499

Accuracy: 0.7246990863745559

              precision    recall  f1-score   support

           0       0.25      0.08      0.13    744974
           1       0.85      0.96      0.90   4060539

    accuracy                           0.82   4805513
   macro avg       0.55      0.52      0.51   4805513
weighted avg       0.76      0.82      0.78   4805513

Accuracy: 0.8198612718350777

40-80%

              precision    recall  f1-score   support

           0       0.84      0.65      0.73  24861069
           1       0.66      0.84      0.74  20026114

    accuracy                           0.73  44887183
   macro avg       0.75      0.74      0.73  44887183
weighted avg       0.76      0.73      0.73  44887183

Accuracy: 0.7344011541111858

              precision    recall  f1-score   support

           0       0.16      0.08      0.10    235909
           1       0.92      0.96      0.94   2483775

    accuracy                           0.88   2719684
   macro avg       0.54      0.52      0.52   2719684
weighted avg       0.85      0.88      0.87   2719684

Accuracy: 0.8848274284806618

80-90%

              precision    recall  f1-score   support

           0       0.12      0.08      0.09     18577
           1       0.94      0.96      0.95    296772

    accuracy                           0.91    315349
   macro avg       0.53      0.52      0.52    315349
weighted avg       0.89      0.91      0.90    315349

Accuracy: 0.911764426080311

90-100%

              precision    recall  f1-score   support

           0       0.10      0.07      0.09     13620
           1       0.95      0.96      0.96    240209

    accuracy                           0.92    253829
   macro avg       0.53      0.52      0.52    253829
weighted avg       0.90      0.92      0.91    253829

Accuracy: 0.9163767733395317

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.85      0.66      0.74  22531902
           1       0.65      0.84      0.73  16938696

    accuracy                           0.74  39470598
   macro avg       0.75      0.75      0.74  39470598
weighted avg       0.76      0.74      0.74  39470598

Accuracy: 0.7380526385741609

              precision    recall  f1-score   support

           0       0.85      0.66      0.74  22531902
           1       0.65      0.84      0.73  16938696

    accuracy                           0.74  39470598
   macro avg       0.75      0.75      0.74  39470598
weighted avg       0.76      0.74      0.74  39470598

Accuracy: 0.7380526385741609

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999987096765869

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999987096765869

1-10%

              precision    recall  f1-score   support

           0       0.94      0.89      0.91  12989887
           1       0.27      0.42      0.33   1271288

    accuracy                           0.85  14261175
   macro avg       0.61      0.65      0.62  14261175
weighted avg       0.88      0.85      0.86  14261175

Accuracy: 0.848054175059208

              precision    recall  f1-score   support

           0       0.93      0.88      0.90  11439888
           1       0.27      0.42      0.33   1271288

    accuracy                           0.83  12711176
   macro avg       0.60      0.65      0.62  12711176
weighted avg       0.87      0.83      0.85  12711176

Accuracy: 0.8295260800416893

10-20%

              precision    recall  f1-score   support

           0       0.89      0.77      0.83  18034328
           1       0.46      0.68      0.54   5083660

    accuracy                           0.75  23117988
   macro avg       0.68      0.72      0.69  23117988
weighted avg       0.80      0.75      0.77  23117988

Accuracy: 0.7512524446331575

              precision    recall  f1-score   support

           0       0.72      0.47      0.57   5044441
           1       0.52      0.76      0.62   3812372

    accuracy                           0.60   8856813
   macro avg       0.62      0.62      0.59   8856813
weighted avg       0.64      0.60      0.59   8856813

Accuracy: 0.5953830119253958

20-40%

              precision    recall  f1-score   support

           0       0.55      0.23      0.33   2995598
           1       0.69      0.90      0.78   5583215

    accuracy                           0.67   8578813
   macro avg       0.62      0.57      0.55   8578813
weighted avg       0.64      0.67      0.62   8578813

Accuracy: 0.6660222107650557

40-80%

              precision    recall  f1-score   support

           0       0.36      0.17      0.23   1295061
           1       0.81      0.92      0.86   5001564

    accuracy                           0.77   6296625
   macro avg       0.59      0.55      0.55   6296625
weighted avg       0.72      0.77      0.73   6296625

Accuracy: 0.7680354157981458

              precision    recall  f1-score   support

           0       0.85      0.66      0.75  22324987
           1       0.64      0.83      0.72  15668439

    accuracy                           0.73  37993426
   macro avg       0.74      0.75      0.73  37993426
weighted avg       0.76      0.73      0.74  37993426

Accuracy: 0.7347891185175035

80-90%

              precision    recall  f1-score   support

           0       0.28      0.16      0.20    117971
           1       0.87      0.93      0.90    692761

    accuracy                           0.82    810732
   macro avg       0.57      0.54      0.55    810732
weighted avg       0.78      0.82      0.80    810732

Accuracy: 0.8174538565148532

90-100%

              precision    recall  f1-score   support

           0       0.26      0.15      0.19     88944
           1       0.88      0.93      0.90    577496

    accuracy                           0.83    666440
   macro avg       0.57      0.54      0.55    666440
weighted avg       0.79      0.83      0.81    666440

Accuracy: 0.8275118540303703

LR_9_decay_rtime

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28055468
           1       0.68      0.87      0.76  21729815

    accuracy                           0.77  49785283
   macro avg       0.78      0.78      0.77  49785283
weighted avg       0.79      0.77      0.77  49785283

Accuracy: 0.766106501794918

              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28055468
           1       0.68      0.87      0.76  21729815

    accuracy                           0.77  49785283
   macro avg       0.78      0.78      0.77  49785283
weighted avg       0.79      0.77      0.77  49785283

Accuracy: 0.766106501794918

0-1%

              precision    recall  f1-score   support

           0       0.87      0.69      0.77  27764588
           1       0.63      0.83      0.72  17098553

    accuracy                           0.75  44863141
   macro avg       0.75      0.76      0.74  44863141
weighted avg       0.78      0.75      0.75  44863141

Accuracy: 0.7469286869593014

              precision    recall  f1-score   support

           0       0.87      0.69      0.77  27764588
           1       0.63      0.83      0.72  17098553

    accuracy                           0.75  44863141
   macro avg       0.75      0.76      0.74  44863141
weighted avg       0.78      0.75      0.75  44863141

Accuracy: 0.7469286869593014

1-10%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.47      0.50      0.48   4452351
weighted avg       0.87      0.94      0.90   4452351

Accuracy: 0.9354129986607076

              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28052152
           1       0.68      0.87      0.76  21263340

    accuracy                           0.76  49315492
   macro avg       0.77      0.78      0.76  49315492
weighted avg       0.79      0.76      0.76  49315492

Accuracy: 0.7639456177381339

10-20%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935

              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28054607
           1       0.68      0.87      0.76  21520956

    accuracy                           0.77  49575563
   macro avg       0.78      0.78      0.77  49575563
weighted avg       0.79      0.77      0.77  49575563

Accuracy: 0.7651344272177

20-40%

              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28055266
           1       0.68      0.87      0.76  21651524

    accuracy                           0.77  49706790
   macro avg       0.78      0.78      0.77  49706790
weighted avg       0.79      0.77      0.77  49706790

Accuracy: 0.7657412196603322

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347

              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28055435
           1       0.68      0.87      0.76  21716758

    accuracy                           0.77  49772193
   macro avg       0.78      0.78      0.77  49772193
weighted avg       0.79      0.77      0.77  49772193

Accuracy: 0.7660456512334106

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.85      0.64      0.73  26119367
           1       0.66      0.87      0.75  21615229

    accuracy                           0.74  47734596
   macro avg       0.76      0.75      0.74  47734596
weighted avg       0.77      0.74      0.74  47734596

Accuracy: 0.741057764477571

              precision    recall  f1-score   support

           0       0.85      0.64      0.73  26119367
           1       0.66      0.87      0.75  21615229

    accuracy                           0.74  47734596
   macro avg       0.76      0.75      0.74  47734596
weighted avg       0.77      0.74      0.74  47734596

Accuracy: 0.741057764477571

0-1%

              precision    recall  f1-score   support

           0       0.97      0.95      0.96  12053010
           1       0.19      0.26      0.22    508421

    accuracy                           0.93  12561431
   macro avg       0.58      0.61      0.59  12561431
weighted avg       0.94      0.93      0.93  12561431

Accuracy: 0.9262549784335877

              precision    recall  f1-score   support

           0       0.97      0.95      0.96  12053010
           1       0.19      0.26      0.22    508421

    accuracy                           0.93  12561431
   macro avg       0.58      0.61      0.59  12561431
weighted avg       0.94      0.93      0.93  12561431

Accuracy: 0.9262549784335877

1-10%

              precision    recall  f1-score   support

           0       0.86      0.65      0.74  25421477
           1       0.58      0.82      0.68  14975241

    accuracy                           0.71  40396718
   macro avg       0.72      0.73      0.71  40396718
weighted avg       0.75      0.71      0.72  40396718

Accuracy: 0.7133189631890393

              precision    recall  f1-score   support

           0       0.68      0.38      0.49  13368467
           1       0.59      0.84      0.69  14466820

    accuracy                           0.62  27835287
   macro avg       0.64      0.61      0.59  27835287
weighted avg       0.64      0.62      0.60  27835287

Accuracy: 0.6172257896963663

10-20%

              precision    recall  f1-score   support

           0       0.85      0.64      0.73  25924842
           1       0.63      0.85      0.72  18362515

    accuracy                           0.73  44287357
   macro avg       0.74      0.74      0.73  44287357
weighted avg       0.76      0.73      0.73  44287357

Accuracy: 0.7258026483720851

              precision    recall  f1-score   support

           0       0.17      0.03      0.05    503365
           1       0.87      0.98      0.92   3387274

    accuracy                           0.86   3890639
   macro avg       0.52      0.50      0.49   3890639
weighted avg       0.78      0.86      0.81   3890639

Accuracy: 0.8554214359132266

20-40%

              precision    recall  f1-score   support

           0       0.09      0.01      0.02    147488
           1       0.93      0.99      0.96   1970425

    accuracy                           0.92   2117913
   macro avg       0.51      0.50      0.49   2117913
weighted avg       0.87      0.92      0.89   2117913

Accuracy: 0.9221748013256447

40-80%

              precision    recall  f1-score   support

           0       0.85      0.64      0.73  26113946
           1       0.66      0.87      0.75  21397219

    accuracy                           0.74  47511165
   macro avg       0.76      0.75      0.74  47511165
weighted avg       0.77      0.74      0.74  47511165

Accuracy: 0.7399666162679867

              precision    recall  f1-score   support

           0       0.05      0.01      0.01     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.51      0.50      0.50   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.958236541443808

80-90%

              precision    recall  f1-score   support

           0       0.03      0.00      0.01      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.97    124036
   macro avg       0.50      0.50      0.50    124036
weighted avg       0.95      0.97      0.96    124036

Accuracy: 0.9721371214808604

90-100%

              precision    recall  f1-score   support

           0       0.02      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.97     99395
   macro avg       0.50      0.50      0.50     99395
weighted avg       0.95      0.97      0.96     99395

Accuracy: 0.9742642990090045

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.81      0.54      0.65  24893266
           1       0.60      0.84      0.70  20563095

    accuracy                           0.68  45456361
   macro avg       0.71      0.69      0.68  45456361
weighted avg       0.72      0.68      0.68  45456361

Accuracy: 0.6798581611053292

              precision    recall  f1-score   support

           0       0.81      0.54      0.65  24893266
           1       0.60      0.84      0.70  20563095

    accuracy                           0.68  45456361
   macro avg       0.71      0.69      0.68  45456361
weighted avg       0.72      0.68      0.68  45456361

Accuracy: 0.6798581391062078

0-1%

              precision    recall  f1-score   support

           0       1.00      0.97      0.98   4873589
           1       0.02      0.65      0.03      3872

    accuracy                           0.97   4877461
   macro avg       0.51      0.81      0.51   4877461
weighted avg       1.00      0.97      0.98   4877461

Accuracy: 0.9682306019463816

              precision    recall  f1-score   support

           0       1.00      0.97      0.98   4873589
           1       0.02      0.65      0.03      3872

    accuracy                           0.97   4877461
   macro avg       0.51      0.81      0.51   4877461
weighted avg       1.00      0.97      0.98   4877461

Accuracy: 0.9682306019463816

1-10%

              precision    recall  f1-score   support

           0       0.90      0.59      0.71  21822692
           1       0.42      0.82      0.56   8020644

    accuracy                           0.65  29843336
   macro avg       0.66      0.70      0.63  29843336
weighted avg       0.77      0.65      0.67  29843336

Accuracy: 0.6506019300255172

              precision    recall  f1-score   support

           0       0.85      0.48      0.61  16949103
           1       0.43      0.82      0.56   8016772

    accuracy                           0.59  24965875
   macro avg       0.64      0.65      0.59  24965875
weighted avg       0.71      0.59      0.60  24965875

Accuracy: 0.5885483284683594

10-20%

              precision    recall  f1-score   support

           0       0.86      0.56      0.68  23880186
           1       0.52      0.84      0.64  13481800

    accuracy                           0.66  37361986
   macro avg       0.69      0.70      0.66  37361986
weighted avg       0.73      0.66      0.66  37361986

Accuracy: 0.6582850012309303

              precision    recall  f1-score   support

           0       0.39      0.25      0.30   2057494
           1       0.75      0.86      0.80   5461156

    accuracy                           0.69   7518650
   macro avg       0.57      0.55      0.55   7518650
weighted avg       0.65      0.69      0.66   7518650

Accuracy: 0.6887809646678592

20-40%

              precision    recall  f1-score   support

           0       0.83      0.55      0.66  24625160
           1       0.57      0.84      0.68  17542339

    accuracy                           0.67  42167499
   macro avg       0.70      0.69      0.67  42167499
weighted avg       0.72      0.67      0.67  42167499

Accuracy: 0.6699703959203271

              precision    recall  f1-score   support

           0       0.23      0.23      0.23    744974
           1       0.86      0.86      0.86   4060539

    accuracy                           0.76   4805513
   macro avg       0.54      0.54      0.54   4805513
weighted avg       0.76      0.76      0.76   4805513

Accuracy: 0.760822205662538

40-80%

              precision    recall  f1-score   support

           0       0.13      0.22      0.16    235909
           1       0.92      0.86      0.89   2483775

    accuracy                           0.80   2719684
   macro avg       0.52      0.54      0.53   2719684
weighted avg       0.85      0.80      0.83   2719684

Accuracy: 0.8035352636556305

80-90%

              precision    recall  f1-score   support

           0       0.09      0.22      0.12     18577
           1       0.95      0.86      0.90    296772

    accuracy                           0.82    315349
   macro avg       0.52      0.54      0.51    315349
weighted avg       0.90      0.82      0.85    315349

Accuracy: 0.8196188984268223

90-100%

              precision    recall  f1-score   support

           0       0.08      0.22      0.12     13620
           1       0.95      0.86      0.90    240209

    accuracy                           0.82    253829
   macro avg       0.52      0.54      0.51    253829
weighted avg       0.90      0.82      0.86    253829

Accuracy: 0.8236805093192662

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.80      0.63      0.70  22531902
           1       0.61      0.79      0.69  16938696

    accuracy                           0.70  39470598
   macro avg       0.70      0.71      0.69  39470598
weighted avg       0.72      0.70      0.70  39470598

Accuracy: 0.695003303471612

              precision    recall  f1-score   support

           0       0.80      0.63      0.70  22531902
           1       0.61      0.79      0.69  16938696

    accuracy                           0.70  39470598
   macro avg       0.70      0.71      0.69  39470598
weighted avg       0.72      0.70      0.70  39470598

Accuracy: 0.695003303471612

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9992825801823098

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9992825801823098

1-10%

              precision    recall  f1-score   support

           0       0.97      0.76      0.85  12989887
           1       0.24      0.76      0.36   1271288

    accuracy                           0.76  14261175
   macro avg       0.60      0.76      0.61  14261175
weighted avg       0.90      0.76      0.81  14261175

Accuracy: 0.7581716092818439

              precision    recall  f1-score   support

           0       0.96      0.73      0.83  11439888
           1       0.24      0.76      0.36   1271288

    accuracy                           0.73  12711176
   macro avg       0.60      0.74      0.59  12711176
weighted avg       0.89      0.73      0.78  12711176

Accuracy: 0.7287705716607181

10-20%

              precision    recall  f1-score   support

           0       0.92      0.68      0.78  18034328
           1       0.41      0.78      0.53   5083660

    accuracy                           0.70  23117988
   macro avg       0.66      0.73      0.66  23117988
weighted avg       0.80      0.70      0.73  23117988

Accuracy: 0.7012536731137675

              precision    recall  f1-score   support

           0       0.75      0.48      0.58   5044441
           1       0.53      0.78      0.63   3812372

    accuracy                           0.61   8856813
   macro avg       0.64      0.63      0.61   8856813
weighted avg       0.65      0.61      0.60   8856813

Accuracy: 0.6096048318960782

20-40%

              precision    recall  f1-score   support

           0       0.52      0.42      0.47   2995598
           1       0.72      0.79      0.75   5583215

    accuracy                           0.66   8578813
   macro avg       0.62      0.61      0.61   8578813
weighted avg       0.65      0.66      0.65   8578813

Accuracy: 0.6628544065478522

              precision    recall  f1-score   support

           0       0.86      0.64      0.73  21029926
           1       0.53      0.79      0.63  10666875

    accuracy                           0.69  31696801
   macro avg       0.69      0.71      0.68  31696801
weighted avg       0.74      0.69      0.70  31696801

Accuracy: 0.6908608222009534

40-80%

              precision    recall  f1-score   support

           0       0.33      0.40      0.36   1295061
           1       0.84      0.79      0.81   5001564

    accuracy                           0.71   6296625
   macro avg       0.58      0.60      0.59   6296625
weighted avg       0.73      0.71      0.72   6296625

Accuracy: 0.7080285073352788

              precision    recall  f1-score   support

           0       0.81      0.63      0.71  22324987
           1       0.60      0.79      0.68  15668439

    accuracy                           0.69  37993426
   macro avg       0.70      0.71      0.69  37993426
weighted avg       0.72      0.69      0.70  37993426

Accuracy: 0.6937060111399272

80-90%

              precision    recall  f1-score   support

           0       0.24      0.40      0.30    117971
           1       0.88      0.78      0.83    692761

    accuracy                           0.73    810732
   macro avg       0.56      0.59      0.56    810732
weighted avg       0.79      0.73      0.75    810732

Accuracy: 0.7266457966380999

90-100%

              precision    recall  f1-score   support

           0       0.22      0.40      0.28     88944
           1       0.89      0.78      0.83    577496

    accuracy                           0.73    666440
   macro avg       0.56      0.59      0.56    666440
weighted avg       0.80      0.73      0.76    666440

Accuracy: 0.7304678590720846

LR_9_decay_rtime_w_0_5

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.75      0.87      0.81  28055468
           1       0.79      0.64      0.70  21729815

    accuracy                           0.77  49785283
   macro avg       0.77      0.75      0.75  49785283
weighted avg       0.77      0.77      0.76  49785283

Accuracy: 0.7658449184671703

              precision    recall  f1-score   support

           0       0.75      0.87      0.81  28055468
           1       0.79      0.64      0.70  21729815

    accuracy                           0.77  49785283
   macro avg       0.77      0.75      0.75  49785283
weighted avg       0.77      0.77      0.76  49785283

Accuracy: 0.7658449385534275

0-1%

              precision    recall  f1-score   support

           0       0.75      0.88      0.81  27764588
           1       0.73      0.54      0.62  17098553

    accuracy                           0.75  44863141
   macro avg       0.74      0.71      0.71  44863141
weighted avg       0.74      0.75      0.74  44863141

Accuracy: 0.7467607094206801

              precision    recall  f1-score   support

           0       0.75      0.88      0.81  27764588
           1       0.73      0.54      0.62  17098553

    accuracy                           0.75  44863141
   macro avg       0.74      0.71      0.71  44863141
weighted avg       0.74      0.75      0.74  44863141

Accuracy: 0.746760687130667

1-10%

              precision    recall  f1-score   support

           0       0.14      0.00      0.01    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.93   4452351
   macro avg       0.54      0.50      0.49   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.9341803914381414

10-20%

              precision    recall  f1-score   support

           0       0.43      0.01      0.02      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.71      0.51      0.51    260071
weighted avg       0.99      0.99      0.99    260071

Accuracy: 0.9905218190417232

              precision    recall  f1-score   support

           0       0.75      0.87      0.81  28054607
           1       0.78      0.63      0.70  21520956

    accuracy                           0.76  49575563
   macro avg       0.77      0.75      0.75  49575563
weighted avg       0.77      0.76      0.76  49575563

Accuracy: 0.7648714952566449

20-40%

              precision    recall  f1-score   support

           0       0.75      0.87      0.81  28055266
           1       0.79      0.63      0.70  21651524

    accuracy                           0.77  49706790
   macro avg       0.77      0.75      0.75  49706790
weighted avg       0.77      0.77      0.76  49706790

Accuracy: 0.7654791025531924

              precision    recall  f1-score   support

           0       0.62      0.02      0.05       659
           1       1.00      1.00      1.00    130568

    accuracy                           1.00    131227
   macro avg       0.81      0.51      0.52    131227
weighted avg       0.99      1.00      0.99    131227

Accuracy: 0.9950238899007064

40-80%

              precision    recall  f1-score   support

           0       0.62      0.05      0.09       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.81      0.52      0.54     65403
weighted avg       1.00      1.00      1.00     65403

Accuracy: 0.9974618901273642

              precision    recall  f1-score   support

           0       0.75      0.87      0.81  28055435
           1       0.79      0.64      0.70  21716758

    accuracy                           0.77  49772193
   macro avg       0.77      0.75      0.75  49772193
weighted avg       0.77      0.77      0.76  49772193

Accuracy: 0.7657839388350841

80-90%

              precision    recall  f1-score   support

           0       1.00      0.07      0.12        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       1.00      0.53      0.56      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9981045220687788

90-100%

              precision    recall  f1-score   support

           0       1.00      0.11      0.20        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       1.00      0.56      0.60      5704
weighted avg       1.00      1.00      1.00      5704

Accuracy: 0.9971949509116409

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.68      0.85      0.76  26119367
           1       0.74      0.53      0.61  21615229

    accuracy                           0.70  47734596
   macro avg       0.71      0.69      0.68  47734596
weighted avg       0.71      0.70      0.69  47734596

Accuracy: 0.7003930231231034

              precision    recall  f1-score   support

           0       0.68      0.85      0.76  26119367
           1       0.74      0.53      0.61  21615229

    accuracy                           0.70  47734596
   macro avg       0.71      0.69      0.68  47734596
weighted avg       0.71      0.70      0.69  47734596

Accuracy: 0.7003930231231034

0-1%

              precision    recall  f1-score   support

           0       0.96      0.99      0.98  12053010
           1       0.25      0.05      0.09    508421

    accuracy                           0.96  12561431
   macro avg       0.60      0.52      0.53  12561431
weighted avg       0.93      0.96      0.94  12561431

Accuracy: 0.9552381412595428

1-10%

              precision    recall  f1-score   support

           0       0.73      0.86      0.79  25421477
           1       0.65      0.45      0.53  14975241

    accuracy                           0.71  40396718
   macro avg       0.69      0.65      0.66  40396718
weighted avg       0.70      0.71      0.69  40396718

Accuracy: 0.7061913792105586

              precision    recall  f1-score   support

           0       0.56      0.74      0.64  13368467
           1       0.65      0.46      0.54  14466820

    accuracy                           0.59  27835287
   macro avg       0.61      0.60      0.59  27835287
weighted avg       0.61      0.59      0.59  27835287

Accuracy: 0.5938022841294937

10-20%

              precision    recall  f1-score   support

           0       0.70      0.85      0.77  25924842
           1       0.70      0.49      0.58  18362515

    accuracy                           0.70  44287357
   macro avg       0.70      0.67      0.67  44287357
weighted avg       0.70      0.70      0.69  44287357

Accuracy: 0.7004582820329514

              precision    recall  f1-score   support

           0       0.15      0.38      0.21    503365
           1       0.88      0.68      0.77   3387274

    accuracy                           0.64   3890639
   macro avg       0.51      0.53      0.49   3890639
weighted avg       0.79      0.64      0.70   3890639

Accuracy: 0.6409312197816348

20-40%

              precision    recall  f1-score   support

           0       0.69      0.85      0.76  26072330
           1       0.72      0.51      0.60  20332940

    accuracy                           0.70  46405270
   macro avg       0.71      0.68      0.68  46405270
weighted avg       0.70      0.70      0.69  46405270

Accuracy: 0.6999049892393687

              precision    recall  f1-score   support

           0       0.08      0.34      0.13    147488
           1       0.94      0.71      0.81   1970425

    accuracy                           0.69   2117913
   macro avg       0.51      0.53      0.47   2117913
weighted avg       0.88      0.69      0.76   2117913

Accuracy: 0.6883351676863025

40-80%

              precision    recall  f1-score   support

           0       0.68      0.85      0.76  26113946
           1       0.73      0.52      0.61  21397219

    accuracy                           0.70  47511165
   macro avg       0.71      0.68      0.68  47511165
weighted avg       0.71      0.70      0.69  47511165

Accuracy: 0.700270220694441

              precision    recall  f1-score   support

           0       0.04      0.32      0.08     41616
           1       0.96      0.73      0.83   1064279

    accuracy                           0.72   1105895
   macro avg       0.50      0.53      0.45   1105895
weighted avg       0.93      0.72      0.80   1105895

Accuracy: 0.7155959652589079

80-90%

              precision    recall  f1-score   support

           0       0.03      0.31      0.05      3093
           1       0.98      0.74      0.84    120943

    accuracy                           0.73    124036
   macro avg       0.50      0.53      0.45    124036
weighted avg       0.95      0.73      0.82    124036

Accuracy: 0.7254426134348092

90-100%

              precision    recall  f1-score   support

           0       0.03      0.30      0.05      2328
           1       0.98      0.74      0.84     97067

    accuracy                           0.73     99395
   macro avg       0.50      0.52      0.44     99395
weighted avg       0.96      0.73      0.82     99395

Accuracy: 0.7278233311534785

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.12      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.33      0.50      0.35  45456361
weighted avg       0.35      0.55      0.39  45456361

Accuracy: 0.5476132152329571

              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.12      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.33      0.50      0.35  45456361
weighted avg       0.35      0.55      0.39  45456361

Accuracy: 0.5476132152329571

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992051192208405

1-10%

              precision    recall  f1-score   support

           0       0.73      1.00      0.84  21822692
           1       0.11      0.00      0.00   8020644

    accuracy                           0.73  29843336
   macro avg       0.42      0.50      0.42  29843336
weighted avg       0.56      0.73      0.62  29843336

Accuracy: 0.7312274003147637

              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.11      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.39      0.50      0.40  24965875
weighted avg       0.50      0.68      0.55  24965875

Accuracy: 0.6788739028774277

10-20%

              precision    recall  f1-score   support

           0       0.64      1.00      0.78  23880186
           1       0.13      0.00      0.00  13481800

    accuracy                           0.64  37361986
   macro avg       0.38      0.50      0.39  37361986
weighted avg       0.45      0.64      0.50  37361986

Accuracy: 0.6391422822116576

              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.18      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.23      0.50      0.21   7518650
weighted avg       0.21      0.27      0.12   7518650

Accuracy: 0.2736342295491877

20-40%

              precision    recall  f1-score   support

           0       0.58      1.00      0.74  24625160
           1       0.13      0.00      0.00  17542339

    accuracy                           0.58  42167499
   macro avg       0.36      0.50      0.37  42167499
weighted avg       0.39      0.58      0.43  42167499

Accuracy: 0.5839684255402484

              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.13      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.14      0.50      0.13   4805513
weighted avg       0.14      0.16      0.04   4805513

Accuracy: 0.15500176568037585

40-80%

              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24861069
           1       0.12      0.00      0.00  20026114

    accuracy                           0.55  44887183
   macro avg       0.34      0.50      0.36  44887183
weighted avg       0.36      0.55      0.39  44887183

Accuracy: 0.553840146306352

              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.04      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.06      0.50      0.08   2719684
weighted avg       0.04      0.09      0.01   2719684

Accuracy: 0.08671448594763215

80-90%

              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05888396665281957

90-100%

              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.15      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.10      0.50      0.05    253829
weighted avg       0.15      0.05      0.01    253829

Accuracy: 0.053622714504646826

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.66      0.93      0.77  22531902
           1       0.79      0.36      0.49  16938696

    accuracy                           0.68  39470598
   macro avg       0.72      0.64      0.63  39470598
weighted avg       0.71      0.68      0.65  39470598

Accuracy: 0.6835438621933217

              precision    recall  f1-score   support

           0       0.66      0.93      0.77  22531902
           1       0.79      0.36      0.49  16938696

    accuracy                           0.68  39470598
   macro avg       0.72      0.64      0.63  39470598
weighted avg       0.71      0.68      0.65  39470598

Accuracy: 0.6835438621933217

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0

1-10%

              precision    recall  f1-score   support

           0       0.94      0.97      0.95  12989887
           1       0.55      0.32      0.40   1271288

    accuracy                           0.92  14261175
   macro avg       0.74      0.65      0.68  14261175
weighted avg       0.90      0.92      0.91  14261175

Accuracy: 0.9159759276497204

              precision    recall  f1-score   support

           0       0.93      0.97      0.95  11439888
           1       0.55      0.32      0.40   1271288

    accuracy                           0.91  12711176
   macro avg       0.74      0.64      0.68  12711176
weighted avg       0.89      0.91      0.89  12711176

Accuracy: 0.905730044175299

10-20%

              precision    recall  f1-score   support

           0       0.84      0.95      0.89  18034328
           1       0.66      0.34      0.45   5083660

    accuracy                           0.82  23117988
   macro avg       0.75      0.65      0.67  23117988
weighted avg       0.80      0.82      0.79  23117988

Accuracy: 0.8174393463652633

              precision    recall  f1-score   support

           0       0.65      0.89      0.75   5044441
           1       0.71      0.35      0.47   3812372

    accuracy                           0.66   8856813
   macro avg       0.68      0.62      0.61   8856813
weighted avg       0.67      0.66      0.63   8856813

Accuracy: 0.6587764695946499

20-40%

              precision    recall  f1-score   support

           0       0.42      0.84      0.56   2995598
           1       0.81      0.37      0.51   5583215

    accuracy                           0.53   8578813
   macro avg       0.61      0.60      0.53   8578813
weighted avg       0.67      0.53      0.52   8578813

Accuracy: 0.5330247902594449

              precision    recall  f1-score   support

           0       0.74      0.93      0.83  21029926
           1       0.74      0.36      0.48  10666875

    accuracy                           0.74  31696801
   macro avg       0.74      0.65      0.65  31696801
weighted avg       0.74      0.74      0.71  31696801

Accuracy: 0.7404618844658803

40-80%

              precision    recall  f1-score   support

           0       0.25      0.80      0.38   1295061
           1       0.88      0.37      0.52   5001564

    accuracy                           0.46   6296625
   macro avg       0.56      0.59      0.45   6296625
weighted avg       0.75      0.46      0.49   6296625

Accuracy: 0.45800663053619994

              precision    recall  f1-score   support

           0       0.67      0.93      0.78  22324987
           1       0.78      0.36      0.49  15668439

    accuracy                           0.69  37993426
   macro avg       0.73      0.64      0.64  37993426
weighted avg       0.72      0.69      0.66  37993426

Accuracy: 0.6936507647401948

80-90%

              precision    recall  f1-score   support

           0       0.18      0.79      0.29    117971
           1       0.91      0.36      0.52    692761

    accuracy                           0.43    810732
   macro avg       0.54      0.58      0.40    810732
weighted avg       0.80      0.43      0.49    810732

Accuracy: 0.4261025838378157

90-100%

              precision    recall  f1-score   support

           0       0.16      0.79      0.27     88944
           1       0.92      0.36      0.52    577496

    accuracy                           0.42    666440
   macro avg       0.54      0.58      0.39    666440
weighted avg       0.82      0.42      0.49    666440

Accuracy: 0.4205344817237861

LR_9_decay_rtime_w_0_75

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.81      0.79      0.80  28055468
           1       0.74      0.76      0.75  21729815

    accuracy                           0.78  49785283
   macro avg       0.77      0.78      0.77  49785283
weighted avg       0.78      0.78      0.78  49785283

Accuracy: 0.7774621467954697

              precision    recall  f1-score   support

           0       0.81      0.79      0.80  28055468
           1       0.74      0.76      0.75  21729815

    accuracy                           0.78  49785283
   macro avg       0.77      0.78      0.77  49785283
weighted avg       0.78      0.78      0.78  49785283

Accuracy: 0.7774621467954697

0-1%

              precision    recall  f1-score   support

           0       0.81      0.80      0.80  27764588
           1       0.68      0.70      0.69  17098553

    accuracy                           0.76  44863141
   macro avg       0.75      0.75      0.75  44863141
weighted avg       0.76      0.76      0.76  44863141

Accuracy: 0.7595344918002955

              precision    recall  f1-score   support

           0       0.81      0.80      0.80  27764588
           1       0.68      0.70      0.69  17098553

    accuracy                           0.76  44863141
   macro avg       0.75      0.75      0.75  44863141
weighted avg       0.76      0.76      0.76  44863141

Accuracy: 0.7595344918002955

1-10%

              precision    recall  f1-score   support

           0       0.21      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.57      0.50      0.48   4452351
weighted avg       0.89      0.94      0.90   4452351

Accuracy: 0.9353698753759531

              precision    recall  f1-score   support

           0       0.81      0.79      0.80  28052152
           1       0.73      0.76      0.74  21263340

    accuracy                           0.78  49315492
   macro avg       0.77      0.77      0.77  49315492
weighted avg       0.78      0.78      0.78  49315492

Accuracy: 0.7754094392893819

10-20%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935

              precision    recall  f1-score   support

           0       0.81      0.79      0.80  28054607
           1       0.73      0.76      0.75  21520956

    accuracy                           0.78  49575563
   macro avg       0.77      0.77      0.77  49575563
weighted avg       0.78      0.78      0.78  49575563

Accuracy: 0.7765381101168735

20-40%

              precision    recall  f1-score   support

           0       0.81      0.79      0.80  28055266
           1       0.74      0.76      0.75  21651524

    accuracy                           0.78  49706790
   macro avg       0.77      0.78      0.77  49706790
weighted avg       0.78      0.78      0.78  49706790

Accuracy: 0.777114796590164

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347

              precision    recall  f1-score   support

           0       0.81      0.79      0.80  28055435
           1       0.74      0.76      0.75  21716758

    accuracy                           0.78  49772193
   macro avg       0.77      0.78      0.77  49772193
weighted avg       0.78      0.78      0.78  49772193

Accuracy: 0.7774042827488031

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.79      0.73      0.76  26119367
           1       0.70      0.76      0.73  21615229

    accuracy                           0.75  47734596
   macro avg       0.75      0.75      0.75  47734596
weighted avg       0.75      0.75      0.75  47734596

Accuracy: 0.7469020163069988

              precision    recall  f1-score   support

           0       0.79      0.73      0.76  26119367
           1       0.70      0.76      0.73  21615229

    accuracy                           0.75  47734596
   macro avg       0.75      0.75      0.75  47734596
weighted avg       0.75      0.75      0.75  47734596

Accuracy: 0.7469020372561653

0-1%

              precision    recall  f1-score   support

           0       0.96      0.98      0.97  12053010
           1       0.22      0.13      0.16    508421

    accuracy                           0.95  12561431
   macro avg       0.59      0.56      0.57  12561431
weighted avg       0.93      0.95      0.94  12561431

Accuracy: 0.9464193211744745

              precision    recall  f1-score   support

           0       0.96      0.98      0.97  12053010
           1       0.22      0.13      0.16    508421

    accuracy                           0.95  12561431
   macro avg       0.59      0.56      0.57  12561431
weighted avg       0.93      0.95      0.94  12561431

Accuracy: 0.9464193211744745

1-10%

              precision    recall  f1-score   support

           0       0.80      0.75      0.77  25421477
           1       0.62      0.68      0.65  14975241

    accuracy                           0.72  40396718
   macro avg       0.71      0.72      0.71  40396718
weighted avg       0.73      0.72      0.73  40396718

Accuracy: 0.7246658008207498

              precision    recall  f1-score   support

           0       0.63      0.54      0.58  13368467
           1       0.62      0.70      0.66  14466820

    accuracy                           0.62  27835287
   macro avg       0.62      0.62      0.62  27835287
weighted avg       0.62      0.62      0.62  27835287

Accuracy: 0.6245934521889428

10-20%

              precision    recall  f1-score   support

           0       0.79      0.74      0.76  25924842
           1       0.66      0.73      0.69  18362515

    accuracy                           0.73  44287357
   macro avg       0.73      0.73      0.73  44287357
weighted avg       0.74      0.73      0.73  44287357

Accuracy: 0.7333267370188743

              precision    recall  f1-score   support

           0       0.15      0.08      0.11    503365
           1       0.87      0.93      0.90   3387274

    accuracy                           0.82   3890639
   macro avg       0.51      0.51      0.50   3890639
weighted avg       0.78      0.82      0.80   3890639

Accuracy: 0.8232537123079268

20-40%

              precision    recall  f1-score   support

           0       0.79      0.73      0.76  26072330
           1       0.69      0.75      0.72  20332940

    accuracy                           0.74  46405270
   macro avg       0.74      0.74      0.74  46405270
weighted avg       0.75      0.74      0.74  46405270

Accuracy: 0.7410568023847292

              precision    recall  f1-score   support

           0       0.08      0.04      0.05    147488
           1       0.93      0.97      0.95   1970425

    accuracy                           0.90   2117913
   macro avg       0.51      0.50      0.50   2117913
weighted avg       0.87      0.90      0.89   2117913

Accuracy: 0.9026990249363407

40-80%

              precision    recall  f1-score   support

           0       0.79      0.73      0.76  26113946
           1       0.70      0.76      0.73  21397219

    accuracy                           0.75  47511165
   macro avg       0.74      0.75      0.74  47511165
weighted avg       0.75      0.75      0.75  47511165

Accuracy: 0.7458686605558925

              precision    recall  f1-score   support

           0       0.05      0.02      0.03     41616
           1       0.96      0.98      0.97   1064279

    accuracy                           0.95   1105895
   macro avg       0.50      0.50      0.50   1105895
weighted avg       0.93      0.95      0.94   1105895

Accuracy: 0.9477825652525782

80-90%

              precision    recall  f1-score   support

           0       0.03      0.01      0.02      3093
           1       0.98      0.99      0.98    120943

    accuracy                           0.97    124036
   macro avg       0.50      0.50      0.50    124036
weighted avg       0.95      0.97      0.96    124036

Accuracy: 0.9653810184140088

90-100%

              precision    recall  f1-score   support

           0       0.02      0.01      0.01      2328
           1       0.98      0.99      0.98     97067

    accuracy                           0.97     99395
   macro avg       0.50      0.50      0.50     99395
weighted avg       0.95      0.97      0.96     99395

Accuracy: 0.9682177171889934

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.75      0.72      0.74  24893266
           1       0.68      0.71      0.69  20563095

    accuracy                           0.72  45456361
   macro avg       0.71      0.72      0.71  45456361
weighted avg       0.72      0.72      0.72  45456361

Accuracy: 0.7164893819811049

              precision    recall  f1-score   support

           0       0.75      0.72      0.74  24893266
           1       0.68      0.71      0.69  20563095

    accuracy                           0.72  45456361
   macro avg       0.71      0.72      0.71  45456361
weighted avg       0.72      0.72      0.72  45456361

Accuracy: 0.7164894259793475

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.04      0.06      0.05      3872

    accuracy                           1.00   4877461
   macro avg       0.52      0.53      0.52   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.997983171982308

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.04      0.06      0.05      3872

    accuracy                           1.00   4877461
   macro avg       0.52      0.53      0.52   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.997983171982308

1-10%

              precision    recall  f1-score   support

           0       0.84      0.77      0.81  21822692
           1       0.50      0.61      0.55   8020644

    accuracy                           0.73  29843336
   macro avg       0.67      0.69      0.68  29843336
weighted avg       0.75      0.73      0.74  29843336

Accuracy: 0.7289951766786394

              precision    recall  f1-score   support

           0       0.79      0.71      0.75  16949103
           1       0.50      0.61      0.55   8016772

    accuracy                           0.68  24965875
   macro avg       0.64      0.66      0.65  24965875
weighted avg       0.70      0.68      0.68  24965875

Accuracy: 0.676444306478343

10-20%

              precision    recall  f1-score   support

           0       0.80      0.74      0.77  23880186
           1       0.59      0.67      0.63  13481800

    accuracy                           0.71  37361986
   macro avg       0.69      0.70      0.70  37361986
weighted avg       0.72      0.71      0.72  37361986

Accuracy: 0.7126612594951457

              precision    recall  f1-score   support

           0       0.36      0.37      0.36   2057494
           1       0.76      0.75      0.76   5461156

    accuracy                           0.65   7518650
   macro avg       0.56      0.56      0.56   7518650
weighted avg       0.65      0.65      0.65   7518650

Accuracy: 0.6478280010374203

20-40%

              precision    recall  f1-score   support

           0       0.77      0.73      0.75  24625160
           1       0.64      0.69      0.67  17542339

    accuracy                           0.71  42167499
   macro avg       0.71      0.71      0.71  42167499
weighted avg       0.72      0.71      0.71  42167499

Accuracy: 0.7129064021558404

              precision    recall  f1-score   support

           0       0.22      0.32      0.26    744974
           1       0.86      0.79      0.82   4060539

    accuracy                           0.71   4805513
   macro avg       0.54      0.55      0.54   4805513
weighted avg       0.76      0.71      0.74   4805513

Accuracy: 0.7148123415751867

40-80%

              precision    recall  f1-score   support

           0       0.75      0.72      0.74  24861069
           1       0.67      0.71      0.69  20026114

    accuracy                           0.72  44887183
   macro avg       0.71      0.71      0.71  44887183
weighted avg       0.72      0.72      0.72  44887183

Accuracy: 0.715699312206783

              precision    recall  f1-score   support

           0       0.13      0.30      0.18    235909
           1       0.92      0.80      0.86   2483775

    accuracy                           0.76   2719684
   macro avg       0.52      0.55      0.52   2719684
weighted avg       0.85      0.76      0.80   2719684

Accuracy: 0.7590021487790494

80-90%

              precision    recall  f1-score   support

           0       0.09      0.29      0.13     18577
           1       0.95      0.81      0.87    296772

    accuracy                           0.78    315349
   macro avg       0.52      0.55      0.50    315349
weighted avg       0.90      0.78      0.83    315349

Accuracy: 0.7766760002410028

90-100%

              precision    recall  f1-score   support

           0       0.08      0.30      0.13     13620
           1       0.95      0.81      0.88    240209

    accuracy                           0.78    253829
   macro avg       0.52      0.55      0.50    253829
weighted avg       0.91      0.78      0.83    253829

Accuracy: 0.7814394730310563

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.72      0.82      0.77  22531902
           1       0.71      0.58      0.64  16938696

    accuracy                           0.72  39470598
   macro avg       0.71      0.70      0.70  39470598
weighted avg       0.72      0.72      0.71  39470598

Accuracy: 0.7166788554863041

              precision    recall  f1-score   support

           0       0.72      0.82      0.77  22531902
           1       0.71      0.58      0.64  16938696

    accuracy                           0.72  39470598
   macro avg       0.71      0.70      0.70  39470598
weighted avg       0.72      0.72      0.71  39470598

Accuracy: 0.7166788554863041

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999961290297606

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999961290297606

1-10%

              precision    recall  f1-score   support

           0       0.95      0.91      0.93  12989887
           1       0.37      0.54      0.44   1271288

    accuracy                           0.88  14261175
   macro avg       0.66      0.72      0.69  14261175
weighted avg       0.90      0.88      0.89  14261175

Accuracy: 0.8781928557780126

              precision    recall  f1-score   support

           0       0.95      0.90      0.92  11439888
           1       0.37      0.54      0.44   1271288

    accuracy                           0.86  12711176
   macro avg       0.66      0.72      0.68  12711176
weighted avg       0.89      0.86      0.87  12711176

Accuracy: 0.8633401818997707

10-20%

              precision    recall  f1-score   support

           0       0.87      0.86      0.87  18034328
           1       0.53      0.56      0.55   5083660

    accuracy                           0.80  23117988
   macro avg       0.70      0.71      0.71  23117988
weighted avg       0.80      0.80      0.80  23117988

Accuracy: 0.7951380544016201

              precision    recall  f1-score   support

           0       0.69      0.73      0.71   5044441
           1       0.61      0.57      0.59   3812372

    accuracy                           0.66   8856813
   macro avg       0.65      0.65      0.65   8856813
weighted avg       0.66      0.66      0.66   8856813

Accuracy: 0.6614038255069854

20-40%

              precision    recall  f1-score   support

           0       0.47      0.67      0.55   2995598
           1       0.77      0.59      0.67   5583215

    accuracy                           0.62   8578813
   macro avg       0.62      0.63      0.61   8578813
weighted avg       0.66      0.62      0.62   8578813

Accuracy: 0.6158679528275065

40-80%

              precision    recall  f1-score   support

           0       0.29      0.64      0.39   1295061
           1       0.86      0.59      0.70   5001564

    accuracy                           0.60   6296625
   macro avg       0.57      0.61      0.55   6296625
weighted avg       0.74      0.60      0.64   6296625

Accuracy: 0.5963771067833958

              precision    recall  f1-score   support

           0       0.74      0.82      0.78  22324987
           1       0.70      0.58      0.63  15668439

    accuracy                           0.72  37993426
   macro avg       0.72      0.70      0.70  37993426
weighted avg       0.72      0.72      0.72  37993426

Accuracy: 0.7217188310419808

80-90%

              precision    recall  f1-score   support

           0       0.20      0.63      0.31    117971
           1       0.90      0.58      0.71    692761

    accuracy                           0.59    810732
   macro avg       0.55      0.61      0.51    810732
weighted avg       0.80      0.59      0.65    810732

Accuracy: 0.5875665448014881

90-100%

              precision    recall  f1-score   support

           0       0.19      0.63      0.29     88944
           1       0.91      0.58      0.71    577496

    accuracy                           0.59    666440
   macro avg       0.55      0.61      0.50    666440
weighted avg       0.81      0.59      0.65    666440

Accuracy: 0.5864188824200228

LR_9_decay_vtime

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.75      0.51      0.61  28055468
           1       0.55      0.78      0.65  21729815

    accuracy                           0.63  49785283
   macro avg       0.65      0.64      0.63  49785283
weighted avg       0.66      0.63      0.62  49785283

Accuracy: 0.6269150061876719

              precision    recall  f1-score   support

           0       0.75      0.51      0.61  28055468
           1       0.55      0.78      0.65  21729815

    accuracy                           0.63  49785283
   macro avg       0.65      0.64      0.63  49785283
weighted avg       0.66      0.63      0.62  49785283

Accuracy: 0.6269150061876719

0-1%

              precision    recall  f1-score   support

           0       0.79      0.51      0.62  27764588
           1       0.50      0.78      0.60  17098553

    accuracy                           0.61  44863141
   macro avg       0.64      0.64      0.61  44863141
weighted avg       0.68      0.61      0.61  44863141

Accuracy: 0.6129199023314038

1-10%

              precision    recall  f1-score   support

           0       0.07      0.23      0.11    287564
           1       0.94      0.79      0.86   4164787

    accuracy                           0.75   4452351
   macro avg       0.50      0.51      0.48   4452351
weighted avg       0.88      0.75      0.81   4452351

Accuracy: 0.7517740627367429

              precision    recall  f1-score   support

           0       0.75      0.51      0.61  28052152
           1       0.55      0.78      0.64  21263340

    accuracy                           0.63  49315492
   macro avg       0.65      0.64      0.62  49315492
weighted avg       0.66      0.63      0.62  49315492

Accuracy: 0.6254560737222291

10-20%

              precision    recall  f1-score   support

           0       0.01      0.24      0.02      2455
           1       0.99      0.78      0.87    257616

    accuracy                           0.78    260071
   macro avg       0.50      0.51      0.45    260071
weighted avg       0.98      0.78      0.87    260071

Accuracy: 0.7778491258156427

              precision    recall  f1-score   support

           0       0.75      0.51      0.61  28054607
           1       0.55      0.78      0.64  21520956

    accuracy                           0.63  49575563
   macro avg       0.65      0.64      0.63  49575563
weighted avg       0.66      0.63      0.62  49575563

Accuracy: 0.6262555202852663

20-40%

              precision    recall  f1-score   support

           0       0.75      0.51      0.61  28055266
           1       0.55      0.78      0.65  21651524

    accuracy                           0.63  49706790
   macro avg       0.65      0.64      0.63  49706790
weighted avg       0.66      0.63      0.62  49706790

Accuracy: 0.6266689319507456

              precision    recall  f1-score   support

           0       0.01      0.28      0.01       659
           1       1.00      0.79      0.88    130568

    accuracy                           0.78    131227
   macro avg       0.50      0.53      0.45    131227
weighted avg       0.99      0.78      0.87    131227

Accuracy: 0.7828495660191881

40-80%

              precision    recall  f1-score   support

           0       0.00      0.27      0.01       169
           1       1.00      0.78      0.88     65234

    accuracy                           0.78     65403
   macro avg       0.50      0.52      0.44     65403
weighted avg       1.00      0.78      0.88     65403

Accuracy: 0.7822576946011651

80-90%

              precision    recall  f1-score   support

           0       0.00      0.33      0.01        15
           1       1.00      0.78      0.88      7371

    accuracy                           0.78      7386
   macro avg       0.50      0.56      0.44      7386
weighted avg       1.00      0.78      0.87      7386

Accuracy: 0.7787706471703222

90-100%

              precision    recall  f1-score   support

           0       0.01      0.33      0.01        18
           1       1.00      0.79      0.88      5686

    accuracy                           0.79      5704
   macro avg       0.50      0.56      0.45      5704
weighted avg       0.99      0.79      0.88      5704

Accuracy: 0.7934782608695652

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.74      0.58      0.65  26119367
           1       0.60      0.76      0.67  21615229

    accuracy                           0.66  47734596
   macro avg       0.67      0.67      0.66  47734596
weighted avg       0.68      0.66      0.66  47734596

Accuracy: 0.6589189316696008

              precision    recall  f1-score   support

           0       0.74      0.58      0.65  26119367
           1       0.60      0.76      0.67  21615229

    accuracy                           0.66  47734596
   macro avg       0.67      0.67      0.66  47734596
weighted avg       0.68      0.66      0.66  47734596

Accuracy: 0.6589189316696008

0-1%

              precision    recall  f1-score   support

           0       0.98      0.78      0.87  12053010
           1       0.12      0.70      0.20    508421

    accuracy                           0.78  12561431
   macro avg       0.55      0.74      0.54  12561431
weighted avg       0.95      0.78      0.84  12561431

Accuracy: 0.776987749246085

              precision    recall  f1-score   support

           0       0.98      0.78      0.87  12053010
           1       0.12      0.70      0.20    508421

    accuracy                           0.78  12561431
   macro avg       0.55      0.74      0.54  12561431
weighted avg       0.95      0.78      0.84  12561431

Accuracy: 0.776987749246085

1-10%

              precision    recall  f1-score   support

           0       0.80      0.58      0.68  25421477
           1       0.52      0.76      0.61  14975241

    accuracy                           0.65  40396718
   macro avg       0.66      0.67      0.65  40396718
weighted avg       0.70      0.65      0.65  40396718

Accuracy: 0.6481008679962565

              precision    recall  f1-score   support

           0       0.61      0.41      0.49  13368467
           1       0.58      0.76      0.66  14466820

    accuracy                           0.59  27835287
   macro avg       0.59      0.58      0.57  27835287
weighted avg       0.59      0.59      0.58  27835287

Accuracy: 0.5899371542316054

10-20%

              precision    recall  f1-score   support

           0       0.77      0.58      0.66  25924842
           1       0.56      0.76      0.64  18362515

    accuracy                           0.65  44287357
   macro avg       0.67      0.67      0.65  44287357
weighted avg       0.68      0.65      0.65  44287357

Accuracy: 0.6531529077248841

              precision    recall  f1-score   support

           0       0.16      0.31      0.21    503365
           1       0.88      0.76      0.82   3387274

    accuracy                           0.71   3890639
   macro avg       0.52      0.54      0.52   3890639
weighted avg       0.79      0.71      0.74   3890639

Accuracy: 0.7056085131516956

20-40%

              precision    recall  f1-score   support

           0       0.75      0.58      0.65  26072330
           1       0.58      0.76      0.66  20332940

    accuracy                           0.66  46405270
   macro avg       0.67      0.67      0.66  46405270
weighted avg       0.68      0.66      0.66  46405270

Accuracy: 0.6565860946396821

              precision    recall  f1-score   support

           0       0.09      0.31      0.14    147488
           1       0.94      0.76      0.84   1970425

    accuracy                           0.73   2117913
   macro avg       0.51      0.53      0.49   2117913
weighted avg       0.88      0.73      0.79   2117913

Accuracy: 0.7283769446620328

40-80%

              precision    recall  f1-score   support

           0       0.74      0.58      0.65  26113946
           1       0.59      0.76      0.67  21397219

    accuracy                           0.66  47511165
   macro avg       0.67      0.67      0.66  47511165
weighted avg       0.68      0.66      0.66  47511165

Accuracy: 0.6585215706666001

              precision    recall  f1-score   support

           0       0.05      0.31      0.08     41616
           1       0.97      0.76      0.85   1064279

    accuracy                           0.74   1105895
   macro avg       0.51      0.53      0.47   1105895
weighted avg       0.93      0.74      0.82   1105895

Accuracy: 0.7397374976828722

80-90%

              precision    recall  f1-score   support

           0       0.03      0.32      0.06      3093
           1       0.98      0.75      0.85    120943

    accuracy                           0.74    124036
   macro avg       0.51      0.54      0.46    124036
weighted avg       0.95      0.74      0.83    124036

Accuracy: 0.7428327259827792

90-100%

              precision    recall  f1-score   support

           0       0.03      0.31      0.05      2328
           1       0.98      0.75      0.85     97067

    accuracy                           0.74     99395
   macro avg       0.50      0.53      0.45     99395
weighted avg       0.96      0.74      0.83     99395

Accuracy: 0.7441420594597313

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.76      0.60      0.67  24893266
           1       0.61      0.77      0.68  20563095

    accuracy                           0.68  45456361
   macro avg       0.69      0.68      0.68  45456361
weighted avg       0.69      0.68      0.67  45456361

Accuracy: 0.6755377756701642

              precision    recall  f1-score   support

           0       0.76      0.60      0.67  24893266
           1       0.61      0.77      0.68  20563095

    accuracy                           0.68  45456361
   macro avg       0.69      0.68      0.68  45456361
weighted avg       0.69      0.68      0.67  45456361

Accuracy: 0.6755377756701642

0-1%

              precision    recall  f1-score   support

           0       1.00      0.95      0.97   4873589
           1       0.01      0.71      0.02      3872

    accuracy                           0.95   4877461
   macro avg       0.51      0.83      0.50   4877461
weighted avg       1.00      0.95      0.97   4877461

Accuracy: 0.9478956366847423

              precision    recall  f1-score   support

           0       1.00      0.95      0.97   4873589
           1       0.01      0.71      0.02      3872

    accuracy                           0.95   4877461
   macro avg       0.51      0.83      0.50   4877461
weighted avg       1.00      0.95      0.97   4877461

Accuracy: 0.9478956366847423

1-10%

              precision    recall  f1-score   support

           0       0.88      0.63      0.74  21822692
           1       0.43      0.76      0.55   8020644

    accuracy                           0.67  29843336
   macro avg       0.66      0.70      0.64  29843336
weighted avg       0.76      0.67      0.69  29843336

Accuracy: 0.6672138463340693

              precision    recall  f1-score   support

           0       0.83      0.54      0.65  16949103
           1       0.44      0.76      0.56   8016772

    accuracy                           0.61  24965875
   macro avg       0.63      0.65      0.61  24965875
weighted avg       0.70      0.61      0.62  24965875

Accuracy: 0.6123784165385752

10-20%

              precision    recall  f1-score   support

           0       0.82      0.61      0.70  23880186
           1       0.53      0.77      0.62  13481800

    accuracy                           0.67  37361986
   macro avg       0.67      0.69      0.66  37361986
weighted avg       0.72      0.67      0.67  37361986

Accuracy: 0.6666169726630699

              precision    recall  f1-score   support

           0       0.38      0.37      0.37   2057494
           1       0.77      0.78      0.77   5461156

    accuracy                           0.66   7518650
   macro avg       0.57      0.57      0.57   7518650
weighted avg       0.66      0.66      0.66   7518650

Accuracy: 0.6642478370452143

20-40%

              precision    recall  f1-score   support

           0       0.78      0.60      0.68  24625160
           1       0.58      0.77      0.66  17542339

    accuracy                           0.67  42167499
   macro avg       0.68      0.69      0.67  42167499
weighted avg       0.70      0.67      0.67  42167499

Accuracy: 0.6711966483950115

              precision    recall  f1-score   support

           0       0.22      0.36      0.27    744974
           1       0.87      0.77      0.82   4060539

    accuracy                           0.71   4805513
   macro avg       0.54      0.56      0.54   4805513
weighted avg       0.77      0.71      0.73   4805513

Accuracy: 0.7068027908778938

40-80%

              precision    recall  f1-score   support

           0       0.76      0.60      0.67  24861069
           1       0.61      0.77      0.68  20026114

    accuracy                           0.67  44887183
   macro avg       0.68      0.68      0.67  44887183
weighted avg       0.69      0.67      0.67  44887183

Accuracy: 0.6747402705133

              precision    recall  f1-score   support

           0       0.13      0.35      0.19    235909
           1       0.93      0.77      0.84   2483775

    accuracy                           0.73   2719684
   macro avg       0.53      0.56      0.51   2719684
weighted avg       0.86      0.73      0.78   2719684

Accuracy: 0.729682566062822

80-90%

              precision    recall  f1-score   support

           0       0.09      0.36      0.14     18577
           1       0.95      0.76      0.84    296772

    accuracy                           0.74    315349
   macro avg       0.52      0.56      0.49    315349
weighted avg       0.90      0.74      0.80    315349

Accuracy: 0.737205445395419

90-100%

              precision    recall  f1-score   support

           0       0.08      0.36      0.13     13620
           1       0.95      0.76      0.85    240209

    accuracy                           0.74    253829
   macro avg       0.52      0.56      0.49    253829
weighted avg       0.91      0.74      0.81    253829

Accuracy: 0.7399548514945101

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.79      0.63      0.70  22531902
           1       0.61      0.78      0.69  16938696

    accuracy                           0.70  39470598
   macro avg       0.70      0.71      0.70  39470598
weighted avg       0.72      0.70      0.70  39470598

Accuracy: 0.69614118843601

              precision    recall  f1-score   support

           0       0.79      0.63      0.70  22531902
           1       0.61      0.78      0.69  16938696

    accuracy                           0.70  39470598
   macro avg       0.70      0.71      0.70  39470598
weighted avg       0.72      0.70      0.70  39470598

Accuracy: 0.69614118843601

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9993296769868883

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9993296769868883

1-10%

              precision    recall  f1-score   support

           0       0.97      0.76      0.85  12989887
           1       0.24      0.76      0.36   1271288

    accuracy                           0.76  14261175
   macro avg       0.60      0.76      0.61  14261175
weighted avg       0.90      0.76      0.81  14261175

Accuracy: 0.7609895397819605

              precision    recall  f1-score   support

           0       0.96      0.73      0.83  11439888
           1       0.24      0.76      0.36   1271288

    accuracy                           0.73  12711176
   macro avg       0.60      0.74      0.60  12711176
weighted avg       0.89      0.73      0.78  12711176

Accuracy: 0.7319263772289833

10-20%

              precision    recall  f1-score   support

           0       0.92      0.68      0.78  18034328
           1       0.41      0.78      0.54   5083660

    accuracy                           0.70  23117988
   macro avg       0.66      0.73      0.66  23117988
weighted avg       0.80      0.70      0.73  23117988

Accuracy: 0.7036091549143464

              precision    recall  f1-score   support

           0       0.75      0.48      0.59   5044441
           1       0.53      0.78      0.63   3812372

    accuracy                           0.61   8856813
   macro avg       0.64      0.63      0.61   8856813
weighted avg       0.65      0.61      0.61   8856813

Accuracy: 0.6112156822098423

20-40%

              precision    recall  f1-score   support

           0       0.52      0.43      0.47   2995598
           1       0.72      0.79      0.75   5583215

    accuracy                           0.66   8578813
   macro avg       0.62      0.61      0.61   8578813
weighted avg       0.65      0.66      0.65   8578813

Accuracy: 0.6628310932992711

              precision    recall  f1-score   support

           0       0.85      0.65      0.74  21029926
           1       0.53      0.78      0.63  10666875

    accuracy                           0.69  31696801
   macro avg       0.69      0.71      0.68  31696801
weighted avg       0.74      0.69      0.70  31696801

Accuracy: 0.6925724775822014

40-80%

              precision    recall  f1-score   support

           0       0.33      0.41      0.37   1295061
           1       0.84      0.78      0.81   5001564

    accuracy                           0.71   6296625
   macro avg       0.58      0.60      0.59   6296625
weighted avg       0.73      0.71      0.72   6296625

Accuracy: 0.7069112421336827

              precision    recall  f1-score   support

           0       0.81      0.63      0.71  22324987
           1       0.60      0.78      0.68  15668439

    accuracy                           0.69  37993426
   macro avg       0.70      0.71      0.69  37993426
weighted avg       0.72      0.69      0.70  37993426

Accuracy: 0.694948831410992

80-90%

              precision    recall  f1-score   support

           0       0.24      0.41      0.30    117971
           1       0.89      0.78      0.83    692761

    accuracy                           0.73    810732
   macro avg       0.56      0.59      0.56    810732
weighted avg       0.79      0.73      0.75    810732

Accuracy: 0.7250978128407415

90-100%

              precision    recall  f1-score   support

           0       0.22      0.41      0.29     88944
           1       0.89      0.78      0.83    577496

    accuracy                           0.73    666440
   macro avg       0.56      0.59      0.56    666440
weighted avg       0.80      0.73      0.76    666440

Accuracy: 0.7288908228797791

LR_9_decay_vtime_w_0_5

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398

              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398

0-1%

              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446

              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446

1-10%

              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243

              precision    recall  f1-score   support

           0       0.57      1.00      0.73  28052152
           1       0.00      0.00      0.00  21263340

    accuracy                           0.57  49315492
   macro avg       0.28      0.50      0.36  49315492
weighted avg       0.32      0.57      0.41  49315492

Accuracy: 0.568830419455209

10-20%

              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487

              precision    recall  f1-score   support

           0       0.57      1.00      0.72  28054607
           1       0.00      0.00      0.00  21520956

    accuracy                           0.57  49575563
   macro avg       0.28      0.50      0.36  49575563
weighted avg       0.32      0.57      0.41  49575563

Accuracy: 0.5658958830180103

20-40%

              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055266
           1       0.00      0.00      0.00  21651524

    accuracy                           0.56  49706790
   macro avg       0.28      0.50      0.36  49706790
weighted avg       0.32      0.56      0.41  49706790

Accuracy: 0.5644151634012174

              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288

40-80%

              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375

              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055435
           1       0.00      0.00      0.00  21716758

    accuracy                           0.56  49772193
   macro avg       0.28      0.50      0.36  49772193
weighted avg       0.32      0.56      0.41  49772193

Accuracy: 0.5636768908293834

80-90%

              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455

90-100%

              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.58      0.95      0.72  26119367
           1       0.72      0.16      0.26  21615229

    accuracy                           0.59  47734596
   macro avg       0.65      0.55      0.49  47734596
weighted avg       0.64      0.59      0.51  47734596

Accuracy: 0.5914927194523654

              precision    recall  f1-score   support

           0       0.58      0.95      0.72  26119367
           1       0.72      0.16      0.26  21615229

    accuracy                           0.59  47734596
   macro avg       0.65      0.55      0.49  47734596
weighted avg       0.64      0.59      0.51  47734596

Accuracy: 0.5914927194523654

0-1%

              precision    recall  f1-score   support

           0       0.96      0.99      0.98  12053010
           1       0.41      0.13      0.20    508421

    accuracy                           0.96  12561431
   macro avg       0.69      0.56      0.59  12561431
weighted avg       0.94      0.96      0.95  12561431

Accuracy: 0.9571873618539162

              precision    recall  f1-score   support

           0       0.96      0.99      0.98  12053010
           1       0.41      0.13      0.20    508421

    accuracy                           0.96  12561431
   macro avg       0.69      0.56      0.59  12561431
weighted avg       0.94      0.96      0.95  12561431

Accuracy: 0.9571873618539162

1-10%

              precision    recall  f1-score   support

           0       0.50      0.92      0.65  13368467
           1       0.67      0.15      0.25  14466820

    accuracy                           0.52  27835287
   macro avg       0.58      0.54      0.45  27835287
weighted avg       0.59      0.52      0.44  27835287

Accuracy: 0.5207089116774689

10-20%

              precision    recall  f1-score   support

           0       0.61      0.95      0.75  25924842
           1       0.69      0.16      0.25  18362515

    accuracy                           0.62  44287357
   macro avg       0.65      0.55      0.50  44287357
weighted avg       0.65      0.62      0.54  44287357

Accuracy: 0.6213051503615354

              precision    recall  f1-score   support

           0       0.13      0.85      0.23    503365
           1       0.88      0.17      0.28   3387274

    accuracy                           0.26   3890639
   macro avg       0.51      0.51      0.26   3890639
weighted avg       0.79      0.26      0.28   3890639

Accuracy: 0.25657430566032985

20-40%

              precision    recall  f1-score   support

           0       0.59      0.95      0.73  26072330
           1       0.71      0.16      0.26  20332940

    accuracy                           0.60  46405270
   macro avg       0.65      0.55      0.49  46405270
weighted avg       0.64      0.60      0.52  46405270

Accuracy: 0.602869501675133

              precision    recall  f1-score   support

           0       0.07      0.85      0.13    147488
           1       0.94      0.17      0.29   1970425

    accuracy                           0.22   2117913
   macro avg       0.50      0.51      0.21   2117913
weighted avg       0.88      0.22      0.28   2117913

Accuracy: 0.21736445264748835

40-80%

              precision    recall  f1-score   support

           0       0.58      0.95      0.72  26113946
           1       0.72      0.16      0.26  21397219

    accuracy                           0.59  47511165
   macro avg       0.65      0.55      0.49  47511165
weighted avg       0.64      0.59      0.51  47511165

Accuracy: 0.5933936370535221

              precision    recall  f1-score   support

           0       0.04      0.85      0.07     41616
           1       0.97      0.17      0.29   1064279

    accuracy                           0.20   1105895
   macro avg       0.50      0.51      0.18   1105895
weighted avg       0.93      0.20      0.28   1105895

Accuracy: 0.19576994199268466

80-90%

              precision    recall  f1-score   support

           0       0.03      0.85      0.05      3093
           1       0.98      0.17      0.29    120943

    accuracy                           0.19    124036
   macro avg       0.50      0.51      0.17    124036
weighted avg       0.95      0.19      0.29    124036

Accuracy: 0.18908220194137185

90-100%

              precision    recall  f1-score   support

           0       0.02      0.85      0.05      2328
           1       0.98      0.17      0.29     97067

    accuracy                           0.19     99395
   macro avg       0.50      0.51      0.17     99395
weighted avg       0.96      0.19      0.28     99395

Accuracy: 0.1850193671713869

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.60      0.93      0.73  24893266
           1       0.74      0.26      0.39  20563095

    accuracy                           0.62  45456361
   macro avg       0.67      0.59      0.56  45456361
weighted avg       0.67      0.62      0.57  45456361

Accuracy: 0.6248361367950241

              precision    recall  f1-score   support

           0       0.60      0.93      0.73  24893266
           1       0.74      0.26      0.39  20563095

    accuracy                           0.62  45456361
   macro avg       0.67      0.59      0.56  45456361
weighted avg       0.67      0.62      0.57  45456361

Accuracy: 0.6248361367950241

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.24      0.21      0.23      3872

    accuracy                           1.00   4877461
   macro avg       0.62      0.61      0.61   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9988487862845034

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.24      0.21      0.23      3872

    accuracy                           1.00   4877461
   macro avg       0.62      0.61      0.61   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9988487862845034

1-10%

              precision    recall  f1-score   support

           0       0.77      0.94      0.85  21822692
           1       0.62      0.25      0.35   8020644

    accuracy                           0.76  29843336
   macro avg       0.69      0.60      0.60  29843336
weighted avg       0.73      0.76      0.72  29843336

Accuracy: 0.756366010823991

              precision    recall  f1-score   support

           0       0.72      0.93      0.81  16949103
           1       0.62      0.25      0.35   8016772

    accuracy                           0.71  24965875
   macro avg       0.67      0.59      0.58  24965875
weighted avg       0.69      0.71      0.67  24965875

Accuracy: 0.7089933359035083

10-20%

              precision    recall  f1-score   support

           0       0.69      0.93      0.79  23880186
           1       0.68      0.26      0.37  13481800

    accuracy                           0.69  37361986
   macro avg       0.68      0.59      0.58  37361986
weighted avg       0.69      0.69      0.64  37361986

Accuracy: 0.6877995190084382

              precision    recall  f1-score   support

           0       0.29      0.81      0.43   2057494
           1       0.79      0.27      0.40   5461156

    accuracy                           0.42   7518650
   macro avg       0.54      0.54      0.42   7518650
weighted avg       0.65      0.42      0.41   7518650

Accuracy: 0.4156425688122203

20-40%

              precision    recall  f1-score   support

           0       0.64      0.93      0.76  24625160
           1       0.72      0.26      0.38  17542339

    accuracy                           0.65  42167499
   macro avg       0.68      0.59      0.57  42167499
weighted avg       0.67      0.65      0.60  42167499

Accuracy: 0.6493133728419606

              precision    recall  f1-score   support

           0       0.17      0.79      0.27    744974
           1       0.87      0.27      0.41   4060539

    accuracy                           0.35   4805513
   macro avg       0.52      0.53      0.34   4805513
weighted avg       0.76      0.35      0.39   4805513

Accuracy: 0.35009061467526986

40-80%

              precision    recall  f1-score   support

           0       0.61      0.93      0.73  24861069
           1       0.74      0.26      0.39  20026114

    accuracy                           0.63  44887183
   macro avg       0.67      0.59      0.56  44887183
weighted avg       0.67      0.63      0.58  44887183

Accuracy: 0.6289949850495185

              precision    recall  f1-score   support

           0       0.09      0.78      0.17    235909
           1       0.93      0.27      0.42   2483775

    accuracy                           0.31   2719684
   macro avg       0.51      0.53      0.29   2719684
weighted avg       0.86      0.31      0.40   2719684

Accuracy: 0.31396735797247033

80-90%

              precision    recall  f1-score   support

           0       0.06      0.79      0.12     18577
           1       0.95      0.27      0.42    296772

    accuracy                           0.30    315349
   macro avg       0.51      0.53      0.27    315349
weighted avg       0.90      0.30      0.40    315349

Accuracy: 0.29791437423299266

90-100%

              precision    recall  f1-score   support

           0       0.06      0.79      0.11     13620
           1       0.96      0.27      0.42    240209

    accuracy                           0.30    253829
   macro avg       0.51      0.53      0.26    253829
weighted avg       0.91      0.30      0.40    253829

Accuracy: 0.29554148659136664

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.66      0.93      0.77  22531902
           1       0.79      0.36      0.49  16938696

    accuracy                           0.68  39470598
   macro avg       0.72      0.64      0.63  39470598
weighted avg       0.71      0.68      0.65  39470598

Accuracy: 0.6835438621933217

              precision    recall  f1-score   support

           0       0.66      0.93      0.77  22531902
           1       0.79      0.36      0.49  16938696

    accuracy                           0.68  39470598
   macro avg       0.72      0.64      0.63  39470598
weighted avg       0.71      0.68      0.65  39470598

Accuracy: 0.6835438621933217

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0

1-10%

              precision    recall  f1-score   support

           0       0.94      0.97      0.95  12989887
           1       0.55      0.32      0.40   1271288

    accuracy                           0.92  14261175
   macro avg       0.74      0.65      0.68  14261175
weighted avg       0.90      0.92      0.91  14261175

Accuracy: 0.9159759276497204

              precision    recall  f1-score   support

           0       0.93      0.97      0.95  11439888
           1       0.55      0.32      0.40   1271288

    accuracy                           0.91  12711176
   macro avg       0.74      0.64      0.68  12711176
weighted avg       0.89      0.91      0.89  12711176

Accuracy: 0.905730044175299

10-20%

              precision    recall  f1-score   support

           0       0.84      0.95      0.89  18034328
           1       0.66      0.34      0.45   5083660

    accuracy                           0.82  23117988
   macro avg       0.75      0.65      0.67  23117988
weighted avg       0.80      0.82      0.79  23117988

Accuracy: 0.8174393463652633

              precision    recall  f1-score   support

           0       0.65      0.89      0.75   5044441
           1       0.71      0.35      0.47   3812372

    accuracy                           0.66   8856813
   macro avg       0.68      0.62      0.61   8856813
weighted avg       0.67      0.66      0.63   8856813

Accuracy: 0.6587764695946499

20-40%

              precision    recall  f1-score   support

           0       0.42      0.84      0.56   2995598
           1       0.81      0.37      0.51   5583215

    accuracy                           0.53   8578813
   macro avg       0.61      0.60      0.53   8578813
weighted avg       0.67      0.53      0.52   8578813

Accuracy: 0.5330247902594449

              precision    recall  f1-score   support

           0       0.74      0.93      0.83  21029926
           1       0.74      0.36      0.48  10666875

    accuracy                           0.74  31696801
   macro avg       0.74      0.65      0.65  31696801
weighted avg       0.74      0.74      0.71  31696801

Accuracy: 0.7404618844658803

40-80%

              precision    recall  f1-score   support

           0       0.25      0.80      0.38   1295061
           1       0.88      0.37      0.52   5001564

    accuracy                           0.46   6296625
   macro avg       0.56      0.59      0.45   6296625
weighted avg       0.75      0.46      0.49   6296625

Accuracy: 0.45800663053619994

              precision    recall  f1-score   support

           0       0.67      0.93      0.78  22324987
           1       0.78      0.36      0.49  15668439

    accuracy                           0.69  37993426
   macro avg       0.73      0.64      0.64  37993426
weighted avg       0.72      0.69      0.66  37993426

Accuracy: 0.6936507647401948

80-90%

              precision    recall  f1-score   support

           0       0.18      0.79      0.29    117971
           1       0.91      0.36      0.52    692761

    accuracy                           0.43    810732
   macro avg       0.54      0.58      0.40    810732
weighted avg       0.80      0.43      0.49    810732

Accuracy: 0.4261025838378157

90-100%

              precision    recall  f1-score   support

           0       0.16      0.79      0.27     88944
           1       0.92      0.36      0.52    577496

    accuracy                           0.42    666440
   macro avg       0.54      0.58      0.39    666440
weighted avg       0.82      0.42      0.49    666440

Accuracy: 0.4205344817237861

LR_9_decay_vtime_w_0_75

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.62      0.85      0.72  28055468
           1       0.64      0.34      0.44  21729815

    accuracy                           0.63  49785283
   macro avg       0.63      0.59      0.58  49785283
weighted avg       0.63      0.63      0.60  49785283

Accuracy: 0.6273655208508104

              precision    recall  f1-score   support

           0       0.62      0.85      0.72  28055468
           1       0.64      0.34      0.44  21729815

    accuracy                           0.63  49785283
   macro avg       0.63      0.59      0.58  49785283
weighted avg       0.63      0.63      0.60  49785283

Accuracy: 0.6273655208508104

0-1%

              precision    recall  f1-score   support

           0       0.67      0.85      0.75  27764588
           1       0.58      0.33      0.42  17098553

    accuracy                           0.65  44863141
   macro avg       0.63      0.59      0.59  44863141
weighted avg       0.64      0.65      0.63  44863141

Accuracy: 0.6542890075396193

              precision    recall  f1-score   support

           0       0.67      0.85      0.75  27764588
           1       0.58      0.33      0.42  17098553

    accuracy                           0.65  44863141
   macro avg       0.63      0.59      0.59  44863141
weighted avg       0.64      0.65      0.63  44863141

Accuracy: 0.6542890075396193

1-10%

              precision    recall  f1-score   support

           0       0.07      0.65      0.12    287564
           1       0.94      0.37      0.53   4164787

    accuracy                           0.38   4452351
   macro avg       0.50      0.51      0.32   4452351
weighted avg       0.88      0.38      0.50   4452351

Accuracy: 0.3832494338384373

              precision    recall  f1-score   support

           0       0.63      0.85      0.72  28052152
           1       0.63      0.34      0.44  21263340

    accuracy                           0.63  49315492
   macro avg       0.63      0.59      0.58  49315492
weighted avg       0.63      0.63      0.60  49315492

Accuracy: 0.629818739312182

10-20%

              precision    recall  f1-score   support

           0       0.01      0.63      0.02      2455
           1       0.99      0.37      0.54    257616

    accuracy                           0.37    260071
   macro avg       0.50      0.50      0.28    260071
weighted avg       0.98      0.37      0.53    260071

Accuracy: 0.370002806925801

              precision    recall  f1-score   support

           0       0.63      0.85      0.72  28054607
           1       0.64      0.34      0.44  21520956

    accuracy                           0.63  49575563
   macro avg       0.63      0.59      0.58  49575563
weighted avg       0.63      0.63      0.60  49575563

Accuracy: 0.628455757527151

20-40%

              precision    recall  f1-score   support

           0       0.62      0.85      0.72  28055266
           1       0.64      0.34      0.44  21651524

    accuracy                           0.63  49706790
   macro avg       0.63      0.59      0.58  49706790
weighted avg       0.63      0.63      0.60  49706790

Accuracy: 0.6277698077063516

              precision    recall  f1-score   support

           0       0.01      0.67      0.01       659
           1       1.00      0.37      0.54    130568

    accuracy                           0.37    131227
   macro avg       0.50      0.52      0.27    131227
weighted avg       0.99      0.37      0.53    131227

Accuracy: 0.36862840726374907

40-80%

              precision    recall  f1-score   support

           0       0.00      0.64      0.01       169
           1       1.00      0.37      0.54     65234

    accuracy                           0.37     65403
   macro avg       0.50      0.51      0.27     65403
weighted avg       0.99      0.37      0.54     65403

Accuracy: 0.37253642799259973

              precision    recall  f1-score   support

           0       0.62      0.85      0.72  28055435
           1       0.64      0.34      0.44  21716758

    accuracy                           0.63  49772193
   macro avg       0.63      0.59      0.58  49772193
weighted avg       0.63      0.63      0.60  49772193

Accuracy: 0.6274344190540289

80-90%

              precision    recall  f1-score   support

           0       0.00      0.40      0.00        15
           1       1.00      0.36      0.53      7371

    accuracy                           0.36      7386
   macro avg       0.50      0.38      0.26      7386
weighted avg       0.99      0.36      0.53      7386

Accuracy: 0.3577037638776063

90-100%

              precision    recall  f1-score   support

           0       0.00      0.67      0.01        18
           1       1.00      0.37      0.54      5686

    accuracy                           0.38      5704
   macro avg       0.50      0.52      0.28      5704
weighted avg       0.99      0.38      0.54      5704

Accuracy: 0.3753506311360449

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.66      0.78      0.72  26119367
           1       0.66      0.51      0.58  21615229

    accuracy                           0.66  47734596
   macro avg       0.66      0.65      0.65  47734596
weighted avg       0.66      0.66      0.65  47734596

Accuracy: 0.6618385751080831

              precision    recall  f1-score   support

           0       0.66      0.78      0.72  26119367
           1       0.66      0.51      0.58  21615229

    accuracy                           0.66  47734596
   macro avg       0.66      0.65      0.65  47734596
weighted avg       0.66      0.66      0.65  47734596

Accuracy: 0.6618385751080831

0-1%

              precision    recall  f1-score   support

           0       0.98      0.93      0.95  12053010
           1       0.21      0.45      0.29    508421

    accuracy                           0.91  12561431
   macro avg       0.59      0.69      0.62  12561431
weighted avg       0.94      0.91      0.93  12561431

Accuracy: 0.9104785115644866

              precision    recall  f1-score   support

           0       0.98      0.93      0.95  12053010
           1       0.21      0.45      0.29    508421

    accuracy                           0.91  12561431
   macro avg       0.59      0.69      0.62  12561431
weighted avg       0.94      0.91      0.93  12561431

Accuracy: 0.9104785115644866

1-10%

              precision    recall  f1-score   support

           0       0.73      0.79      0.76  25421477
           1       0.59      0.51      0.55  14975241

    accuracy                           0.69  40396718
   macro avg       0.66      0.65      0.65  40396718
weighted avg       0.68      0.69      0.68  40396718

Accuracy: 0.6866671198387948

              precision    recall  f1-score   support

           0       0.56      0.67      0.61  13368467
           1       0.62      0.51      0.56  14466820

    accuracy                           0.59  27835287
   macro avg       0.59      0.59      0.58  27835287
weighted avg       0.59      0.59      0.58  27835287

Accuracy: 0.5856661366559648

10-20%

              precision    recall  f1-score   support

           0       0.69      0.79      0.74  25924842
           1       0.63      0.51      0.57  18362515

    accuracy                           0.67  44287357
   macro avg       0.66      0.65      0.65  44287357
weighted avg       0.67      0.67      0.67  44287357

Accuracy: 0.6726487426197052

              precision    recall  f1-score   support

           0       0.14      0.53      0.22    503365
           1       0.88      0.53      0.66   3387274

    accuracy                           0.53   3890639
   macro avg       0.51      0.53      0.44   3890639
weighted avg       0.79      0.53      0.60   3890639

Accuracy: 0.5270951635451143

20-40%

              precision    recall  f1-score   support

           0       0.67      0.78      0.73  26072330
           1       0.65      0.51      0.57  20332940

    accuracy                           0.67  46405270
   macro avg       0.66      0.65      0.65  46405270
weighted avg       0.66      0.67      0.66  46405270

Accuracy: 0.6658570028791988

              precision    recall  f1-score   support

           0       0.08      0.53      0.13    147488
           1       0.94      0.52      0.67   1970425

    accuracy                           0.52   2117913
   macro avg       0.51      0.52      0.40   2117913
weighted avg       0.88      0.52      0.63   2117913

Accuracy: 0.5238359649334038

40-80%

              precision    recall  f1-score   support

           0       0.66      0.78      0.72  26113946
           1       0.66      0.51      0.58  21397219

    accuracy                           0.66  47511165
   macro avg       0.66      0.65      0.65  47511165
weighted avg       0.66      0.66      0.66  47511165

Accuracy: 0.6625068233961428

              precision    recall  f1-score   support

           0       0.04      0.53      0.08     41616
           1       0.97      0.52      0.68   1064279

    accuracy                           0.52   1105895
   macro avg       0.50      0.53      0.38   1105895
weighted avg       0.93      0.52      0.65   1105895

Accuracy: 0.5219274885952102

80-90%

              precision    recall  f1-score   support

           0       0.03      0.54      0.05      3093
           1       0.98      0.52      0.68    120943

    accuracy                           0.52    124036
   macro avg       0.50      0.53      0.37    124036
weighted avg       0.95      0.52      0.66    124036

Accuracy: 0.5201957496210777

90-100%

              precision    recall  f1-score   support

           0       0.03      0.52      0.05      2328
           1       0.98      0.52      0.68     97067

    accuracy                           0.52     99395
   macro avg       0.50      0.52      0.36     99395
weighted avg       0.96      0.52      0.66     99395

Accuracy: 0.5191709844559586

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.68      0.78      0.73  24893266
           1       0.68      0.56      0.62  20563095

    accuracy                           0.68  45456361
   macro avg       0.68      0.67      0.67  45456361
weighted avg       0.68      0.68      0.68  45456361

Accuracy: 0.683884440287686

              precision    recall  f1-score   support

           0       0.68      0.78      0.73  24893266
           1       0.68      0.56      0.62  20563095

    accuracy                           0.68  45456361
   macro avg       0.68      0.67      0.67  45456361
weighted avg       0.68      0.68      0.68  45456361

Accuracy: 0.683884440287686

0-1%

              precision    recall  f1-score   support

           0       1.00      0.99      1.00   4873589
           1       0.05      0.49      0.09      3872

    accuracy                           0.99   4877461
   macro avg       0.52      0.74      0.54   4877461
weighted avg       1.00      0.99      1.00   4877461

Accuracy: 0.991675791974554

1-10%

              precision    recall  f1-score   support

           0       0.83      0.81      0.82  21822692
           1       0.52      0.55      0.54   8020644

    accuracy                           0.74  29843336
   macro avg       0.68      0.68      0.68  29843336
weighted avg       0.75      0.74      0.75  29843336

Accuracy: 0.7442351619135341

              precision    recall  f1-score   support

           0       0.78      0.76      0.77  16949103
           1       0.53      0.55      0.54   8016772

    accuracy                           0.70  24965875
   macro avg       0.65      0.66      0.66  24965875
weighted avg       0.70      0.70      0.70  24965875

Accuracy: 0.6958938951669028

10-20%

              precision    recall  f1-score   support

           0       0.76      0.79      0.78  23880186
           1       0.61      0.56      0.58  13481800

    accuracy                           0.71  37361986
   macro avg       0.68      0.68      0.68  37361986
weighted avg       0.71      0.71      0.71  37361986

Accuracy: 0.7097588709550933

              precision    recall  f1-score   support

           0       0.33      0.57      0.42   2057494
           1       0.78      0.58      0.66   5461156

    accuracy                           0.57   7518650
   macro avg       0.56      0.57      0.54   7518650
weighted avg       0.66      0.57      0.60   7518650

Accuracy: 0.5729141534717004

20-40%

              precision    recall  f1-score   support

           0       0.72      0.79      0.75  24625160
           1       0.65      0.56      0.60  17542339

    accuracy                           0.69  42167499
   macro avg       0.68      0.67      0.68  42167499
weighted avg       0.69      0.69      0.69  42167499

Accuracy: 0.6934554975622339

              precision    recall  f1-score   support

           0       0.19      0.54      0.28    744974
           1       0.87      0.57      0.69   4060539

    accuracy                           0.57   4805513
   macro avg       0.53      0.56      0.48   4805513
weighted avg       0.77      0.57      0.63   4805513

Accuracy: 0.566699746728393

40-80%

              precision    recall  f1-score   support

           0       0.69      0.78      0.73  24861069
           1       0.68      0.56      0.62  20026114

    accuracy                           0.69  44887183
   macro avg       0.68      0.67      0.67  44887183
weighted avg       0.68      0.69      0.68  44887183

Accuracy: 0.685476742882261

              precision    recall  f1-score   support

           0       0.10      0.54      0.17    235909
           1       0.93      0.56      0.70   2483775

    accuracy                           0.56   2719684
   macro avg       0.52      0.55      0.44   2719684
weighted avg       0.86      0.56      0.66   2719684

Accuracy: 0.5617696761829684

80-90%

              precision    recall  f1-score   support

           0       0.07      0.54      0.13     18577
           1       0.95      0.56      0.70    296772

    accuracy                           0.56    315349
   macro avg       0.51      0.55      0.42    315349
weighted avg       0.90      0.56      0.67    315349

Accuracy: 0.5585335612289876

90-100%

              precision    recall  f1-score   support

           0       0.06      0.54      0.12     13620
           1       0.96      0.56      0.71    240209

    accuracy                           0.56    253829
   macro avg       0.51      0.55      0.41    253829
weighted avg       0.91      0.56      0.67    253829

Accuracy: 0.5580331640592683

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.72      0.82      0.77  22531902
           1       0.71      0.58      0.64  16938696

    accuracy                           0.72  39470598
   macro avg       0.71      0.70      0.70  39470598
weighted avg       0.72      0.72      0.71  39470598

Accuracy: 0.7166907377486401

              precision    recall  f1-score   support

           0       0.72      0.82      0.77  22531902
           1       0.71      0.58      0.64  16938696

    accuracy                           0.72  39470598
   macro avg       0.71      0.70      0.70  39470598
weighted avg       0.72      0.72      0.71  39470598

Accuracy: 0.7166907377486401

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999961290297606

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999961290297606

1-10%

              precision    recall  f1-score   support

           0       0.95      0.90      0.92  11439888
           1       0.37      0.54      0.44   1271288

    accuracy                           0.86  12711176
   macro avg       0.66      0.72      0.68  12711176
weighted avg       0.89      0.86      0.87  12711176

Accuracy: 0.8632954968131981

10-20%

              precision    recall  f1-score   support

           0       0.87      0.86      0.87  18034328
           1       0.53      0.56      0.55   5083660

    accuracy                           0.80  23117988
   macro avg       0.70      0.71      0.71  23117988
weighted avg       0.80      0.80      0.80  23117988

Accuracy: 0.7951106731260523

              precision    recall  f1-score   support

           0       0.69      0.73      0.71   5044441
           1       0.61      0.57      0.59   3812372

    accuracy                           0.66   8856813
   macro avg       0.65      0.65      0.65   8856813
weighted avg       0.66      0.66      0.66   8856813

Accuracy: 0.6613964865239901

20-40%

              precision    recall  f1-score   support

           0       0.47      0.67      0.55   2995598
           1       0.77      0.59      0.67   5583215

    accuracy                           0.62   8578813
   macro avg       0.62      0.63      0.61   8578813
weighted avg       0.66      0.62      0.62   8578813

Accuracy: 0.61591061607241

              precision    recall  f1-score   support

           0       0.79      0.83      0.81  21029926
           1       0.64      0.58      0.60  10666875

    accuracy                           0.75  31696801
   macro avg       0.72      0.70      0.71  31696801
weighted avg       0.74      0.75      0.74  31696801

Accuracy: 0.7466097603982181

40-80%

              precision    recall  f1-score   support

           0       0.29      0.64      0.39   1295061
           1       0.86      0.59      0.70   5001564

    accuracy                           0.60   6296625
   macro avg       0.57      0.61      0.55   6296625
weighted avg       0.74      0.60      0.64   6296625

Accuracy: 0.5964665197625713

              precision    recall  f1-score   support

           0       0.74      0.82      0.78  22324987
           1       0.70      0.58      0.63  15668439

    accuracy                           0.72  37993426
   macro avg       0.72      0.70      0.70  37993426
weighted avg       0.72      0.72      0.72  37993426

Accuracy: 0.7217266218634771

80-90%

              precision    recall  f1-score   support

           0       0.20      0.63      0.31    117971
           1       0.90      0.58      0.71    692761

    accuracy                           0.59    810732
   macro avg       0.55      0.61      0.51    810732
weighted avg       0.80      0.59      0.65    810732

Accuracy: 0.5876837228578617

90-100%

              precision    recall  f1-score   support

           0       0.19      0.63      0.29     88944
           1       0.91      0.58      0.71    577496

    accuracy                           0.59    666440
   macro avg       0.55      0.61      0.50    666440
weighted avg       0.81      0.59      0.65    666440

Accuracy: 0.5865359222135527

LR_9_id

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.82      0.75      0.79  28055468
           1       0.71      0.79      0.75  21729815

    accuracy                           0.77  49785283
   macro avg       0.77      0.77      0.77  49785283
weighted avg       0.77      0.77      0.77  49785283

Accuracy: 0.7691977968669979

              precision    recall  f1-score   support

           0       0.82      0.75      0.79  28055468
           1       0.71      0.79      0.75  21729815

    accuracy                           0.77  49785283
   macro avg       0.77      0.77      0.77  49785283
weighted avg       0.77      0.77      0.77  49785283

Accuracy: 0.7691977968669979

0-1%

              precision    recall  f1-score   support

           0       0.82      0.76      0.79  27764588
           1       0.65      0.74      0.69  17098553

    accuracy                           0.75  44863141
   macro avg       0.74      0.75      0.74  44863141
weighted avg       0.76      0.75      0.75  44863141

Accuracy: 0.7504096960130366

1-10%

              precision    recall  f1-score   support

           0       0.09      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.93   4452351
   macro avg       0.51      0.50      0.48   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.934903604859545

10-20%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935

20-40%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.82      0.75      0.78  26119367
           1       0.73      0.80      0.76  21615229

    accuracy                           0.77  47734596
   macro avg       0.77      0.78      0.77  47734596
weighted avg       0.78      0.77      0.77  47734596

Accuracy: 0.7744482848456494

              precision    recall  f1-score   support

           0       0.82      0.75      0.78  26119367
           1       0.73      0.80      0.76  21615229

    accuracy                           0.77  47734596
   macro avg       0.77      0.78      0.77  47734596
weighted avg       0.78      0.77      0.77  47734596

Accuracy: 0.7744482848456494

0-1%

              precision    recall  f1-score   support

           0       0.96      0.99      0.97  12053010
           1       0.22      0.09      0.13    508421

    accuracy                           0.95  12561431
   macro avg       0.59      0.54      0.55  12561431
weighted avg       0.93      0.95      0.94  12561431

Accuracy: 0.9507335589392641

1-10%

              precision    recall  f1-score   support

           0       0.67      0.58      0.62  13368467
           1       0.65      0.74      0.69  14466820

    accuracy                           0.66  27835287
   macro avg       0.66      0.66      0.66  27835287
weighted avg       0.66      0.66      0.66  27835287

Accuracy: 0.660770338024537

10-20%

              precision    recall  f1-score   support

           0       0.27      0.01      0.02    503365
           1       0.87      1.00      0.93   3387274

    accuracy                           0.87   3890639
   macro avg       0.57      0.50      0.47   3890639
weighted avg       0.79      0.87      0.81   3890639

Accuracy: 0.8687341590931464

20-40%

              precision    recall  f1-score   support

           0       0.67      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.80      0.50      0.48   2117913
weighted avg       0.91      0.93      0.90   2117913

Accuracy: 0.9303734383801412

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.98     99395
   macro avg       0.49      0.50      0.49     99395
weighted avg       0.95      0.98      0.97     99395

Accuracy: 0.9765782987071784

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.83      0.75      0.79  24893266
           1       0.73      0.81      0.77  20563095

    accuracy                           0.78  45456361
   macro avg       0.78      0.78      0.78  45456361
weighted avg       0.78      0.78      0.78  45456361

Accuracy: 0.7766574187493803

              precision    recall  f1-score   support

           0       0.83      0.75      0.79  24893266
           1       0.73      0.81      0.77  20563095

    accuracy                           0.78  45456361
   macro avg       0.78      0.78      0.78  45456361
weighted avg       0.78      0.78      0.78  45456361

Accuracy: 0.7766574407485016

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.09      0.02      0.03      3872

    accuracy                           1.00   4877461
   macro avg       0.54      0.51      0.52   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9990599617300887

1-10%

              precision    recall  f1-score   support

           0       0.79      0.80      0.79  16949103
           1       0.57      0.56      0.56   8016772

    accuracy                           0.72  24965875
   macro avg       0.68      0.68      0.68  24965875
weighted avg       0.72      0.72      0.72  24965875

Accuracy: 0.721119407991909

10-20%

              precision    recall  f1-score   support

           0       0.42      0.13      0.20   2057494
           1       0.74      0.93      0.83   5461156

    accuracy                           0.71   7518650
   macro avg       0.58      0.53      0.51   7518650
weighted avg       0.65      0.71      0.65   7518650

Accuracy: 0.7135057490373937

20-40%

              precision    recall  f1-score   support

           0       0.32      0.02      0.04    744974
           1       0.85      0.99      0.91   4060539

    accuracy                           0.84   4805513
   macro avg       0.58      0.51      0.48   4805513
weighted avg       0.77      0.84      0.78   4805513

Accuracy: 0.8411634720372206

40-80%

              precision    recall  f1-score   support

           0       0.71      0.00      0.00    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.81      0.50      0.48   2719684
weighted avg       0.90      0.91      0.87   2719684

Accuracy: 0.9133285337561275

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.85      0.74      0.79  22531902
           1       0.71      0.82      0.76  16938696

    accuracy                           0.78  39470598
   macro avg       0.78      0.78      0.78  39470598
weighted avg       0.79      0.78      0.78  39470598

Accuracy: 0.7763814472737404

              precision    recall  f1-score   support

           0       0.85      0.74      0.79  22531902
           1       0.71      0.82      0.76  16938696

    accuracy                           0.78  39470598
   macro avg       0.78      0.78      0.78  39470598
weighted avg       0.79      0.78      0.78  39470598

Accuracy: 0.7763814726090544

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0

1-10%

              precision    recall  f1-score   support

           0       0.92      0.97      0.94  11439888
           1       0.45      0.25      0.32   1271288

    accuracy                           0.89  12711176
   macro avg       0.69      0.61      0.63  12711176
weighted avg       0.87      0.89      0.88  12711176

Accuracy: 0.8945713598804705

10-20%

              precision    recall  f1-score   support

           0       0.71      0.65      0.68   5044441
           1       0.58      0.64      0.61   3812372

    accuracy                           0.65   8856813
   macro avg       0.64      0.65      0.64   8856813
weighted avg       0.65      0.65      0.65   8856813

Accuracy: 0.6476143280884444

20-40%

              precision    recall  f1-score   support

           0       0.56      0.25      0.35   2995598
           1       0.69      0.89      0.78   5583215

    accuracy                           0.67   8578813
   macro avg       0.62      0.57      0.56   8578813
weighted avg       0.64      0.67      0.63   8578813

Accuracy: 0.6684184630204668

40-80%

              precision    recall  f1-score   support

           0       0.43      0.05      0.09   1295061
           1       0.80      0.98      0.88   5001564

    accuracy                           0.79   6296625
   macro avg       0.62      0.52      0.48   6296625
weighted avg       0.72      0.79      0.72   6296625

Accuracy: 0.7912273638655629

80-90%

              precision    recall  f1-score   support

           0       0.69      0.01      0.02    117971
           1       0.86      1.00      0.92    692761

    accuracy                           0.86    810732
   macro avg       0.77      0.50      0.47    810732
weighted avg       0.83      0.86      0.79    810732

Accuracy: 0.8551790234010745

90-100%

              precision    recall  f1-score   support

           0       0.75      0.00      0.01     88944
           1       0.87      1.00      0.93    577496

    accuracy                           0.87    666440
   macro avg       0.81      0.50      0.47    666440
weighted avg       0.85      0.87      0.81    666440

Accuracy: 0.8669467618990456

LR_decay_rtime

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.76      0.49      0.59  28055468
           1       0.55      0.80      0.65  21729815

    accuracy                           0.62  49785283
   macro avg       0.65      0.64      0.62  49785283
weighted avg       0.67      0.62      0.62  49785283

Accuracy: 0.6244382903276858

              precision    recall  f1-score   support

           0       0.76      0.49      0.59  28055468
           1       0.55      0.80      0.65  21729815

    accuracy                           0.62  49785283
   macro avg       0.65      0.64      0.62  49785283
weighted avg       0.67      0.62      0.62  49785283

Accuracy: 0.6244382903276858

0-1%

              precision    recall  f1-score   support

           0       0.78      0.49      0.60  27764588
           1       0.48      0.77      0.59  17098553

    accuracy                           0.60  44863141
   macro avg       0.63      0.63      0.60  44863141
weighted avg       0.67      0.60      0.60  44863141

Accuracy: 0.5972438933778622

              precision    recall  f1-score   support

           0       0.78      0.49      0.60  27764588
           1       0.48      0.77      0.59  17098553

    accuracy                           0.60  44863141
   macro avg       0.63      0.63      0.60  44863141
weighted avg       0.67      0.60      0.60  44863141

Accuracy: 0.5972438933778622

1-10%

              precision    recall  f1-score   support

           0       0.09      0.12      0.10    287564
           1       0.94      0.91      0.92   4164787

    accuracy                           0.86   4452351
   macro avg       0.51      0.52      0.51   4452351
weighted avg       0.88      0.86      0.87   4452351

Accuracy: 0.8597300617134633

              precision    recall  f1-score   support

           0       0.76      0.49      0.59  28052152
           1       0.54      0.80      0.65  21263340

    accuracy                           0.62  49315492
   macro avg       0.65      0.64      0.62  49315492
weighted avg       0.67      0.62      0.62  49315492

Accuracy: 0.6209419344330986

10-20%

              precision    recall  f1-score   support

           0       0.01      0.00      0.00      2455
           1       0.99      1.00      0.99    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.98    260071

Accuracy: 0.9882685881932242

              precision    recall  f1-score   support

           0       0.76      0.49      0.59  28054607
           1       0.54      0.80      0.65  21520956

    accuracy                           0.62  49575563
   macro avg       0.65      0.64      0.62  49575563
weighted avg       0.67      0.62      0.62  49575563

Accuracy: 0.6228689122501746

20-40%

              precision    recall  f1-score   support

           0       0.76      0.49      0.59  28055266
           1       0.55      0.80      0.65  21651524

    accuracy                           0.62  49706790
   macro avg       0.65      0.64      0.62  49706790
weighted avg       0.67      0.62      0.62  49706790

Accuracy: 0.623849578699409

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9943304350476655

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9972172530312066

              precision    recall  f1-score   support

           0       0.76      0.49      0.59  28055435
           1       0.55      0.80      0.65  21716758

    accuracy                           0.62  49772193
   macro avg       0.65      0.64      0.62  49772193
weighted avg       0.67      0.62      0.62  49772193

Accuracy: 0.6243402013650473

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9978337395071757

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.80      0.60      0.69  26119367
           1       0.63      0.82      0.71  21615229

    accuracy                           0.70  47734596
   macro avg       0.72      0.71      0.70  47734596
weighted avg       0.73      0.70      0.70  47734596

Accuracy: 0.7023233002747106

              precision    recall  f1-score   support

           0       0.80      0.60      0.69  26119367
           1       0.63      0.82      0.71  21615229

    accuracy                           0.70  47734596
   macro avg       0.72      0.71      0.70  47734596
weighted avg       0.73      0.70      0.70  47734596

Accuracy: 0.7023233002747106

0-1%

              precision    recall  f1-score   support

           0       0.98      0.87      0.92  12053010
           1       0.16      0.58      0.25    508421

    accuracy                           0.86  12561431
   macro avg       0.57      0.73      0.59  12561431
weighted avg       0.95      0.86      0.90  12561431

Accuracy: 0.8596725166105676

              precision    recall  f1-score   support

           0       0.98      0.87      0.92  12053010
           1       0.16      0.58      0.25    508421

    accuracy                           0.86  12561431
   macro avg       0.57      0.73      0.59  12561431
weighted avg       0.95      0.86      0.90  12561431

Accuracy: 0.8596725166105676

1-10%

              precision    recall  f1-score   support

           0       0.84      0.61      0.71  25421477
           1       0.55      0.80      0.65  14975241

    accuracy                           0.68  40396718
   macro avg       0.69      0.71      0.68  40396718
weighted avg       0.73      0.68      0.69  40396718

Accuracy: 0.6821889837684338

              precision    recall  f1-score   support

           0       0.64      0.38      0.48  13368467
           1       0.59      0.81      0.68  14466820

    accuracy                           0.60  27835287
   macro avg       0.61      0.59      0.58  27835287
weighted avg       0.61      0.60      0.58  27835287

Accuracy: 0.6020947080588751

10-20%

              precision    recall  f1-score   support

           0       0.82      0.61      0.70  25924842
           1       0.59      0.81      0.69  18362515

    accuracy                           0.69  44287357
   macro avg       0.71      0.71      0.69  44287357
weighted avg       0.73      0.69      0.69  44287357

Accuracy: 0.6911962481752976

              precision    recall  f1-score   support

           0       0.17      0.18      0.18    503365
           1       0.88      0.87      0.88   3387274

    accuracy                           0.78   3890639
   macro avg       0.53      0.53      0.53   3890639
weighted avg       0.79      0.78      0.79   3890639

Accuracy: 0.7847191682394589

20-40%

              precision    recall  f1-score   support

           0       0.81      0.60      0.69  26072330
           1       0.62      0.82      0.70  20332940

    accuracy                           0.70  46405270
   macro avg       0.71      0.71      0.70  46405270
weighted avg       0.73      0.70      0.70  46405270

Accuracy: 0.6977214656869791

              precision    recall  f1-score   support

           0       0.10      0.17      0.12    147488
           1       0.93      0.88      0.91   1970425

    accuracy                           0.83   2117913
   macro avg       0.52      0.53      0.52   2117913
weighted avg       0.88      0.83      0.85   2117913

Accuracy: 0.8341692977945742

40-80%

              precision    recall  f1-score   support

           0       0.81      0.60      0.69  26113946
           1       0.63      0.82      0.71  21397219

    accuracy                           0.70  47511165
   macro avg       0.72      0.71      0.70  47511165
weighted avg       0.73      0.70      0.70  47511165

Accuracy: 0.7015260939191872

              precision    recall  f1-score   support

           0       0.05      0.17      0.08     41616
           1       0.96      0.89      0.92   1064279

    accuracy                           0.86   1105895
   macro avg       0.51      0.53      0.50   1105895
weighted avg       0.93      0.86      0.89   1105895

Accuracy: 0.8611748854999797

80-90%

              precision    recall  f1-score   support

           0       0.04      0.17      0.06      3093
           1       0.98      0.89      0.93    120943

    accuracy                           0.87    124036
   macro avg       0.51      0.53      0.50    124036
weighted avg       0.95      0.87      0.91    124036

Accuracy: 0.8705698345641588

90-100%

              precision    recall  f1-score   support

           0       0.04      0.17      0.06      2328
           1       0.98      0.89      0.93     97067

    accuracy                           0.87     99395
   macro avg       0.51      0.53      0.50     99395
weighted avg       0.96      0.87      0.91     99395

Accuracy: 0.8734342773781377

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.80      0.56      0.65  24893266
           1       0.61      0.83      0.70  20563095

    accuracy                           0.68  45456361
   macro avg       0.70      0.69      0.68  45456361
weighted avg       0.71      0.68      0.68  45456361

Accuracy: 0.6792040612313863

              precision    recall  f1-score   support

           0       0.80      0.56      0.65  24893266
           1       0.61      0.83      0.70  20563095

    accuracy                           0.68  45456361
   macro avg       0.70      0.69      0.68  45456361
weighted avg       0.71      0.68      0.68  45456361

Accuracy: 0.6792040612313863

0-1%

              precision    recall  f1-score   support

           0       1.00      0.97      0.98   4873589
           1       0.01      0.67      0.03      3872

    accuracy                           0.96   4877461
   macro avg       0.51      0.82      0.51   4877461
weighted avg       1.00      0.96      0.98   4877461

Accuracy: 0.9649407755387486

              precision    recall  f1-score   support

           0       1.00      0.97      0.98   4873589
           1       0.01      0.67      0.03      3872

    accuracy                           0.96   4877461
   macro avg       0.51      0.82      0.51   4877461
weighted avg       1.00      0.96      0.98   4877461

Accuracy: 0.9649407755387486

1-10%

              precision    recall  f1-score   support

           0       0.90      0.60      0.72  21822692
           1       0.42      0.81      0.56   8020644

    accuracy                           0.65  29843336
   macro avg       0.66      0.70      0.64  29843336
weighted avg       0.77      0.65      0.67  29843336

Accuracy: 0.6537724200806505

              precision    recall  f1-score   support

           0       0.85      0.49      0.62  16949103
           1       0.43      0.81      0.56   8016772

    accuracy                           0.59  24965875
   macro avg       0.64      0.65      0.59  24965875
weighted avg       0.71      0.59      0.60  24965875

Accuracy: 0.5929809790363847

10-20%

              precision    recall  f1-score   support

           0       0.85      0.57      0.68  23880186
           1       0.52      0.82      0.64  13481800

    accuracy                           0.66  37361986
   macro avg       0.68      0.70      0.66  37361986
weighted avg       0.73      0.66      0.66  37361986

Accuracy: 0.660068230848328

              precision    recall  f1-score   support

           0       0.39      0.27      0.32   2057494
           1       0.75      0.84      0.79   5461156

    accuracy                           0.69   7518650
   macro avg       0.57      0.56      0.56   7518650
weighted avg       0.66      0.69      0.67   7518650

Accuracy: 0.6850578228804373

20-40%

              precision    recall  f1-score   support

           0       0.82      0.56      0.66  24625160
           1       0.57      0.83      0.68  17542339

    accuracy                           0.67  42167499
   macro avg       0.70      0.69      0.67  42167499
weighted avg       0.72      0.67      0.67  42167499

Accuracy: 0.6704102844705113

              precision    recall  f1-score   support

           0       0.23      0.26      0.24    744974
           1       0.86      0.84      0.85   4060539

    accuracy                           0.75   4805513
   macro avg       0.54      0.55      0.55   4805513
weighted avg       0.76      0.75      0.76   4805513

Accuracy: 0.7508178627339058

40-80%

              precision    recall  f1-score   support

           0       0.13      0.26      0.17    235909
           1       0.92      0.84      0.88   2483775

    accuracy                           0.79   2719684
   macro avg       0.53      0.55      0.53   2719684
weighted avg       0.85      0.79      0.82   2719684

Accuracy: 0.7891902147455366

80-90%

              precision    recall  f1-score   support

           0       0.09      0.26      0.13     18577
           1       0.95      0.84      0.89    296772

    accuracy                           0.80    315349
   macro avg       0.52      0.55      0.51    315349
weighted avg       0.90      0.80      0.84    315349

Accuracy: 0.8033638920687873

90-100%

              precision    recall  f1-score   support

           0       0.08      0.26      0.13     13620
           1       0.95      0.84      0.89    240209

    accuracy                           0.81    253829
   macro avg       0.52      0.55      0.51    253829
weighted avg       0.91      0.81      0.85    253829

Accuracy: 0.8073624369161916

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.85      0.41      0.56  22531902
           1       0.54      0.90      0.67  16938696

    accuracy                           0.62  39470598
   macro avg       0.69      0.66      0.62  39470598
weighted avg       0.72      0.62      0.61  39470598

Accuracy: 0.6240024536745048

              precision    recall  f1-score   support

           0       0.85      0.41      0.56  22531902
           1       0.54      0.90      0.67  16938696

    accuracy                           0.62  39470598
   macro avg       0.69      0.66      0.62  39470598
weighted avg       0.72      0.62      0.61  39470598

Accuracy: 0.6240024536745048

0-1%

              precision    recall  f1-score   support

           0       1.00      0.99      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           0.99   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      0.99      1.00   1549999

Accuracy: 0.9917967689011412

              precision    recall  f1-score   support

           0       1.00      0.99      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           0.99   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      0.99      1.00   1549999

Accuracy: 0.9917967689011412

1-10%

              precision    recall  f1-score   support

           0       0.98      0.55      0.71  12989887
           1       0.16      0.88      0.27   1271288

    accuracy                           0.58  14261175
   macro avg       0.57      0.72      0.49  14261175
weighted avg       0.91      0.58      0.67  14261175

Accuracy: 0.5839330209467313

              precision    recall  f1-score   support

           0       0.97      0.50      0.66  11439888
           1       0.16      0.88      0.27   1271288

    accuracy                           0.53  12711176
   macro avg       0.57      0.69      0.47  12711176
weighted avg       0.89      0.53      0.62  12711176

Accuracy: 0.5341981733240103

10-20%

              precision    recall  f1-score   support

           0       0.94      0.47      0.62  18034328
           1       0.32      0.89      0.47   5083660

    accuracy                           0.56  23117988
   macro avg       0.63      0.68      0.55  23117988
weighted avg       0.80      0.56      0.59  23117988

Accuracy: 0.5617400614620961

              precision    recall  f1-score   support

           0       0.76      0.24      0.37   5044441
           1       0.47      0.90      0.62   3812372

    accuracy                           0.53   8856813
   macro avg       0.62      0.57      0.50   8856813
weighted avg       0.64      0.53      0.48   8856813

Accuracy: 0.5260051217068713

20-40%

              precision    recall  f1-score   support

           0       0.54      0.20      0.30   2995598
           1       0.68      0.91      0.78   5583215

    accuracy                           0.66   8578813
   macro avg       0.61      0.56      0.54   8578813
weighted avg       0.63      0.66      0.61   8578813

Accuracy: 0.6614345131430187

              precision    recall  f1-score   support

           0       0.90      0.43      0.58  21029926
           1       0.45      0.90      0.60  10666875

    accuracy                           0.59  31696801
   macro avg       0.67      0.67      0.59  31696801
weighted avg       0.74      0.59      0.59  31696801

Accuracy: 0.5887225969586016

40-80%

              precision    recall  f1-score   support

           0       0.35      0.19      0.25   1295061
           1       0.81      0.91      0.86   5001564

    accuracy                           0.76   6296625
   macro avg       0.58      0.55      0.55   6296625
weighted avg       0.72      0.76      0.73   6296625

Accuracy: 0.7592764377742044

              precision    recall  f1-score   support

           0       0.86      0.42      0.56  22324987
           1       0.52      0.90      0.66  15668439

    accuracy                           0.62  37993426
   macro avg       0.69      0.66      0.61  37993426
weighted avg       0.72      0.62      0.60  37993426

Accuracy: 0.6169883705670555

80-90%

              precision    recall  f1-score   support

           0       0.25      0.19      0.22    117971
           1       0.87      0.90      0.89    692761

    accuracy                           0.80    810732
   macro avg       0.56      0.55      0.55    810732
weighted avg       0.78      0.80      0.79    810732

Accuracy: 0.8006838264679327

90-100%

              precision    recall  f1-score   support

           0       0.24      0.19      0.21     88944
           1       0.88      0.90      0.89    577496

    accuracy                           0.81    666440
   macro avg       0.56      0.55      0.55    666440
weighted avg       0.79      0.81      0.80    666440

Accuracy: 0.8089370385931217

LR_decay_rtime_w_0_5

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398

              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398

0-1%

              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446

              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446

1-10%

              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243

              precision    recall  f1-score   support

           0       0.57      1.00      0.73  28052152
           1       0.00      0.00      0.00  21263340

    accuracy                           0.57  49315492
   macro avg       0.28      0.50      0.36  49315492
weighted avg       0.32      0.57      0.41  49315492

Accuracy: 0.568830419455209

10-20%

              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487

20-40%

              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055266
           1       0.00      0.00      0.00  21651524

    accuracy                           0.56  49706790
   macro avg       0.28      0.50      0.36  49706790
weighted avg       0.32      0.56      0.41  49706790

Accuracy: 0.5644151634012174

              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288

40-80%

              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375

              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055435
           1       0.00      0.00      0.00  21716758

    accuracy                           0.56  49772193
   macro avg       0.28      0.50      0.36  49772193
weighted avg       0.32      0.56      0.41  49772193

Accuracy: 0.5636768908293834

80-90%

              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455

90-100%

              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.63      0.86      0.73  26119367
           1       0.70      0.39      0.50  21615229

    accuracy                           0.65  47734596
   macro avg       0.66      0.63      0.61  47734596
weighted avg       0.66      0.65      0.63  47734596

Accuracy: 0.6479074003265891

              precision    recall  f1-score   support

           0       0.63      0.86      0.73  26119367
           1       0.70      0.39      0.50  21615229

    accuracy                           0.65  47734596
   macro avg       0.66      0.63      0.61  47734596
weighted avg       0.66      0.65      0.63  47734596

Accuracy: 0.6479074003265891

0-1%

              precision    recall  f1-score   support

           0       0.97      0.97      0.97  12053010
           1       0.29      0.27      0.28    508421

    accuracy                           0.94  12561431
   macro avg       0.63      0.62      0.63  12561431
weighted avg       0.94      0.94      0.94  12561431

Accuracy: 0.9437496412630058

              precision    recall  f1-score   support

           0       0.97      0.97      0.97  12053010
           1       0.29      0.27      0.28    508421

    accuracy                           0.94  12561431
   macro avg       0.63      0.62      0.63  12561431
weighted avg       0.94      0.94      0.94  12561431

Accuracy: 0.9437496412630058

1-10%

              precision    recall  f1-score   support

           0       0.71      0.87      0.78  25421477
           1       0.63      0.38      0.48  14975241

    accuracy                           0.69  40396718
   macro avg       0.67      0.63      0.63  40396718
weighted avg       0.68      0.69      0.67  40396718

Accuracy: 0.6880548315831004

              precision    recall  f1-score   support

           0       0.54      0.77      0.63  13368467
           1       0.65      0.39      0.49  14466820

    accuracy                           0.57  27835287
   macro avg       0.59      0.58      0.56  27835287
weighted avg       0.60      0.57      0.56  27835287

Accuracy: 0.5726655881076419

10-20%

              precision    recall  f1-score   support

           0       0.67      0.86      0.75  25924842
           1       0.67      0.39      0.49  18362515

    accuracy                           0.67  44287357
   macro avg       0.67      0.63      0.62  44287357
weighted avg       0.67      0.67      0.64  44287357

Accuracy: 0.6660603160400834

              precision    recall  f1-score   support

           0       0.14      0.64      0.23    503365
           1       0.88      0.41      0.56   3387274

    accuracy                           0.44   3890639
   macro avg       0.51      0.52      0.39   3890639
weighted avg       0.79      0.44      0.52   3890639

Accuracy: 0.437690055541005

20-40%

              precision    recall  f1-score   support

           0       0.64      0.86      0.74  26072330
           1       0.69      0.39      0.50  20332940

    accuracy                           0.65  46405270
   macro avg       0.67      0.63      0.62  46405270
weighted avg       0.66      0.65      0.63  46405270

Accuracy: 0.654789165109911

              precision    recall  f1-score   support

           0       0.07      0.64      0.13    147488
           1       0.94      0.40      0.56   1970425

    accuracy                           0.42   2117913
   macro avg       0.51      0.52      0.35   2117913
weighted avg       0.88      0.42      0.53   2117913

Accuracy: 0.419099840267282

40-80%

              precision    recall  f1-score   support

           0       0.63      0.86      0.73  26113946
           1       0.70      0.39      0.50  21397219

    accuracy                           0.65  47511165
   macro avg       0.66      0.63      0.62  47511165
weighted avg       0.66      0.65      0.63  47511165

Accuracy: 0.6490584055347832

              precision    recall  f1-score   support

           0       0.04      0.65      0.08     41616
           1       0.97      0.40      0.57   1064279

    accuracy                           0.41   1105895
   macro avg       0.50      0.52      0.32   1105895
weighted avg       0.93      0.41      0.55   1105895

Accuracy: 0.40858580606657957

80-90%

              precision    recall  f1-score   support

           0       0.03      0.66      0.05      3093
           1       0.98      0.40      0.57    120943

    accuracy                           0.40    124036
   macro avg       0.50      0.53      0.31    124036
weighted avg       0.95      0.40      0.55    124036

Accuracy: 0.4045841529878422

90-100%

              precision    recall  f1-score   support

           0       0.02      0.63      0.05      2328
           1       0.98      0.40      0.56     97067

    accuracy                           0.40     99395
   macro avg       0.50      0.51      0.31     99395
weighted avg       0.96      0.40      0.55     99395

Accuracy: 0.4013682780823985

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962

              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627

1-10%

              precision    recall  f1-score   support

           0       0.73      1.00      0.84  21822692
           1       0.00      0.00      0.00   8020644

    accuracy                           0.73  29843336
   macro avg       0.37      0.50      0.42  29843336
weighted avg       0.53      0.73      0.62  29843336

Accuracy: 0.7312417083666518

              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122

10-20%

              precision    recall  f1-score   support

           0       0.64      1.00      0.78  23880186
           1       0.00      0.00      0.00  13481800

    accuracy                           0.64  37361986
   macro avg       0.32      0.50      0.39  37361986
weighted avg       0.41      0.64      0.50  37361986

Accuracy: 0.6391572974734266

              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146

20-40%

              precision    recall  f1-score   support

           0       0.58      1.00      0.74  24625160
           1       0.00      0.00      0.00  17542339

    accuracy                           0.58  42167499
   macro avg       0.29      0.50      0.37  42167499
weighted avg       0.34      0.58      0.43  42167499

Accuracy: 0.5839843619845702

              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012

40-80%

              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24861069
           1       0.00      0.00      0.00  20026114

    accuracy                           0.55  44887183
   macro avg       0.28      0.50      0.36  44887183
weighted avg       0.31      0.55      0.39  44887183

Accuracy: 0.553856743471739

              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126

80-90%

              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705

90-100%

              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314

              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0

1-10%

              precision    recall  f1-score   support

           0       0.91      1.00      0.95  12989887
           1       0.00      0.00      0.00   1271288

    accuracy                           0.91  14261175
   macro avg       0.46      0.50      0.48  14261175
weighted avg       0.83      0.91      0.87  14261175

Accuracy: 0.9108567141206808

              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282

10-20%

              precision    recall  f1-score   support

           0       0.78      1.00      0.88  18034328
           1       0.00      0.00      0.00   5083660

    accuracy                           0.78  23117988
   macro avg       0.39      0.50      0.44  23117988
weighted avg       0.61      0.78      0.68  23117988

Accuracy: 0.7800993754300763

              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431

20-40%

              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766

              precision    recall  f1-score   support

           0       0.66      1.00      0.80  21029926
           1       0.00      0.00      0.00  10666875

    accuracy                           0.66  31696801
   macro avg       0.33      0.50      0.40  31696801
weighted avg       0.44      0.66      0.53  31696801

Accuracy: 0.6634715597955768

40-80%

              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918

              precision    recall  f1-score   support

           0       0.59      1.00      0.74  22324987
           1       0.00      0.00      0.00  15668439

    accuracy                           0.59  37993426
   macro avg       0.29      0.50      0.37  37993426
weighted avg       0.35      0.59      0.43  37993426

Accuracy: 0.5876013129218723

80-90%

              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803

90-100%

              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

LR_decay_rtime_w_0_75

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.58      0.86      0.70  28055468
           1       0.54      0.21      0.30  21729815

    accuracy                           0.58  49785283
   macro avg       0.56      0.53      0.50  49785283
weighted avg       0.56      0.58      0.52  49785283

Accuracy: 0.5765067158501439

              precision    recall  f1-score   support

           0       0.58      0.86      0.70  28055468
           1       0.54      0.21      0.30  21729815

    accuracy                           0.58  49785283
   macro avg       0.56      0.53      0.50  49785283
weighted avg       0.56      0.58      0.52  49785283

Accuracy: 0.5765067158501439

0-1%

              precision    recall  f1-score   support

           0       0.65      0.86      0.74  27764588
           1       0.53      0.25      0.34  17098553

    accuracy                           0.63  44863141
   macro avg       0.59      0.55      0.54  44863141
weighted avg       0.60      0.63      0.59  44863141

Accuracy: 0.628007232039326

              precision    recall  f1-score   support

           0       0.65      0.86      0.74  27764588
           1       0.53      0.25      0.34  17098553

    accuracy                           0.63  44863141
   macro avg       0.59      0.55      0.54  44863141
weighted avg       0.60      0.63      0.59  44863141

Accuracy: 0.628007232039326

1-10%

              precision    recall  f1-score   support

           0       0.06      0.94      0.12    287564
           1       0.93      0.06      0.11   4164787

    accuracy                           0.12   4452351
   macro avg       0.50      0.50      0.12   4452351
weighted avg       0.88      0.12      0.11   4452351

Accuracy: 0.11696472268246597

              precision    recall  f1-score   support

           0       0.59      0.86      0.70  28052152
           1       0.54      0.21      0.30  21263340

    accuracy                           0.58  49315492
   macro avg       0.56      0.54      0.50  49315492
weighted avg       0.57      0.58      0.53  49315492

Accuracy: 0.5818687766513614

10-20%

              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.99      0.01      0.02    257616

    accuracy                           0.02    260071
   macro avg       0.50      0.50      0.02    260071
weighted avg       0.99      0.02      0.02    260071

Accuracy: 0.01841804737936948

              precision    recall  f1-score   support

           0       0.59      0.86      0.70  28054607
           1       0.54      0.21      0.30  21520956

    accuracy                           0.58  49575563
   macro avg       0.56      0.54      0.50  49575563
weighted avg       0.57      0.58      0.53  49575563

Accuracy: 0.5789129414425409

20-40%

              precision    recall  f1-score   support

           0       0.59      0.86      0.70  28055266
           1       0.54      0.21      0.30  21651524

    accuracy                           0.58  49706790
   macro avg       0.56      0.54      0.50  49706790
weighted avg       0.56      0.58      0.52  49706790

Accuracy: 0.577409705997913

              precision    recall  f1-score   support

           0       0.01      0.99      0.01       659
           1       0.99      0.00      0.01    130568

    accuracy                           0.01    131227
   macro avg       0.50      0.50      0.01    131227
weighted avg       0.99      0.01      0.01    131227

Accuracy: 0.009510237984561104

40-80%

              precision    recall  f1-score   support

           0       0.00      0.99      0.01       169
           1       0.99      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.50      0.50      0.00     65403
weighted avg       0.99      0.00      0.00     65403

Accuracy: 0.004693974282525266

              precision    recall  f1-score   support

           0       0.58      0.86      0.70  28055435
           1       0.54      0.21      0.30  21716758

    accuracy                           0.58  49772193
   macro avg       0.56      0.53      0.50  49772193
weighted avg       0.56      0.58      0.52  49772193

Accuracy: 0.576657130619099

80-90%

              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       1.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.50      0.50      0.00      7386
weighted avg       1.00      0.00      0.00      7386

Accuracy: 0.003926347143243975

90-100%

              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       1.00      0.00      0.00      5686

    accuracy                           0.01      5704
   macro avg       0.50      0.50      0.01      5704
weighted avg       1.00      0.01      0.00      5704

Accuracy: 0.005434782608695652

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.71      0.74      0.72  26119367
           1       0.67      0.64      0.66  21615229

    accuracy                           0.69  47734596
   macro avg       0.69      0.69      0.69  47734596
weighted avg       0.69      0.69      0.69  47734596

Accuracy: 0.6935438397760819

              precision    recall  f1-score   support

           0       0.71      0.74      0.72  26119367
           1       0.67      0.64      0.66  21615229

    accuracy                           0.69  47734596
   macro avg       0.69      0.69      0.69  47734596
weighted avg       0.69      0.69      0.69  47734596

Accuracy: 0.6935438397760819

0-1%

              precision    recall  f1-score   support

           0       0.98      0.93      0.95  12053010
           1       0.21      0.44      0.29    508421

    accuracy                           0.91  12561431
   macro avg       0.59      0.68      0.62  12561431
weighted avg       0.94      0.91      0.93  12561431

Accuracy: 0.9118375923889563

              precision    recall  f1-score   support

           0       0.98      0.93      0.95  12053010
           1       0.21      0.44      0.29    508421

    accuracy                           0.91  12561431
   macro avg       0.59      0.68      0.62  12561431
weighted avg       0.94      0.91      0.93  12561431

Accuracy: 0.9118375923889563

1-10%

              precision    recall  f1-score   support

           0       0.77      0.74      0.76  25421477
           1       0.59      0.62      0.61  14975241

    accuracy                           0.70  40396718
   macro avg       0.68      0.68      0.68  40396718
weighted avg       0.70      0.70      0.70  40396718

Accuracy: 0.699548463318233

              precision    recall  f1-score   support

           0       0.59      0.58      0.58  13368467
           1       0.62      0.63      0.62  14466820

    accuracy                           0.60  27835287
   macro avg       0.60      0.60      0.60  27835287
weighted avg       0.60      0.60      0.60  27835287

Accuracy: 0.6037472148212447

10-20%

              precision    recall  f1-score   support

           0       0.74      0.74      0.74  25924842
           1       0.63      0.63      0.63  18362515

    accuracy                           0.70  44287357
   macro avg       0.69      0.69      0.69  44287357
weighted avg       0.70      0.70      0.70  44287357

Accuracy: 0.6950480923935018

              precision    recall  f1-score   support

           0       0.15      0.38      0.22    503365
           1       0.88      0.69      0.77   3387274

    accuracy                           0.65   3890639
   macro avg       0.52      0.53      0.50   3890639
weighted avg       0.79      0.65      0.70   3890639

Accuracy: 0.6483204943969358

20-40%

              precision    recall  f1-score   support

           0       0.72      0.74      0.73  26072330
           1       0.65      0.64      0.65  20332940

    accuracy                           0.69  46405270
   macro avg       0.69      0.69      0.69  46405270
weighted avg       0.69      0.69      0.69  46405270

Accuracy: 0.6938819664232101

              precision    recall  f1-score   support

           0       0.08      0.37      0.14    147488
           1       0.94      0.69      0.80   1970425

    accuracy                           0.67   2117913
   macro avg       0.51      0.53      0.47   2117913
weighted avg       0.88      0.67      0.75   2117913

Accuracy: 0.6694972834106028

40-80%

              precision    recall  f1-score   support

           0       0.72      0.74      0.73  26113946
           1       0.67      0.64      0.65  21397219

    accuracy                           0.69  47511165
   macro avg       0.69      0.69      0.69  47511165
weighted avg       0.69      0.69      0.69  47511165

Accuracy: 0.6935845711213354

              precision    recall  f1-score   support

           0       0.05      0.37      0.08     41616
           1       0.97      0.69      0.81   1064279

    accuracy                           0.68   1105895
   macro avg       0.51      0.53      0.44   1105895
weighted avg       0.93      0.68      0.78   1105895

Accuracy: 0.6811053490611676

80-90%

              precision    recall  f1-score   support

           0       0.03      0.38      0.06      3093
           1       0.98      0.69      0.81    120943

    accuracy                           0.68    124036
   macro avg       0.50      0.54      0.43    124036
weighted avg       0.95      0.68      0.79    124036

Accuracy: 0.6846399432422845

90-100%

              precision    recall  f1-score   support

           0       0.03      0.36      0.05      2328
           1       0.98      0.69      0.81     97067

    accuracy                           0.69     99395
   macro avg       0.50      0.53      0.43     99395
weighted avg       0.96      0.69      0.79     99395

Accuracy: 0.6851853714975602

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.74      0.70      0.72  24893266
           1       0.65      0.70      0.67  20563095

    accuracy                           0.70  45456361
   macro avg       0.69      0.70      0.70  45456361
weighted avg       0.70      0.70      0.70  45456361

Accuracy: 0.6964883968604526

              precision    recall  f1-score   support

           0       0.74      0.70      0.72  24893266
           1       0.65      0.70      0.67  20563095

    accuracy                           0.70  45456361
   macro avg       0.69      0.70      0.70  45456361
weighted avg       0.70      0.70      0.70  45456361

Accuracy: 0.6964883968604526

0-1%

              precision    recall  f1-score   support

           0       1.00      0.99      0.99   4873589
           1       0.04      0.53      0.07      3872

    accuracy                           0.99   4877461
   macro avg       0.52      0.76      0.53   4877461
weighted avg       1.00      0.99      0.99   4877461

Accuracy: 0.9887078543529103

              precision    recall  f1-score   support

           0       1.00      0.99      0.99   4873589
           1       0.04      0.53      0.07      3872

    accuracy                           0.99   4877461
   macro avg       0.52      0.76      0.53   4877461
weighted avg       1.00      0.99      0.99   4877461

Accuracy: 0.9887078543529103

1-10%

              precision    recall  f1-score   support

           0       0.86      0.73      0.79  21822692
           1       0.48      0.67      0.56   8020644

    accuracy                           0.72  29843336
   macro avg       0.67      0.70      0.68  29843336
weighted avg       0.76      0.72      0.73  29843336

Accuracy: 0.7184519183780258

              precision    recall  f1-score   support

           0       0.81      0.66      0.73  16949103
           1       0.49      0.67      0.56   8016772

    accuracy                           0.67  24965875
   macro avg       0.65      0.67      0.65  24965875
weighted avg       0.71      0.67      0.68  24965875

Accuracy: 0.6656533368047385

10-20%

              precision    recall  f1-score   support

           0       0.80      0.71      0.75  23880186
           1       0.57      0.69      0.62  13481800

    accuracy                           0.70  37361986
   macro avg       0.69      0.70      0.69  37361986
weighted avg       0.72      0.70      0.71  37361986

Accuracy: 0.7016109636141933

              precision    recall  f1-score   support

           0       0.36      0.43      0.39   2057494
           1       0.77      0.71      0.74   5461156

    accuracy                           0.63   7518650
   macro avg       0.57      0.57      0.57   7518650
weighted avg       0.66      0.63      0.64   7518650

Accuracy: 0.6347651506586954

20-40%

              precision    recall  f1-score   support

           0       0.76      0.70      0.73  24625160
           1       0.62      0.69      0.66  17542339

    accuracy                           0.70  42167499
   macro avg       0.69      0.70      0.69  42167499
weighted avg       0.70      0.70      0.70  42167499

Accuracy: 0.6974811809445943

              precision    recall  f1-score   support

           0       0.21      0.41      0.28    744974
           1       0.87      0.71      0.78   4060539

    accuracy                           0.67   4805513
   macro avg       0.54      0.56      0.53   4805513
weighted avg       0.77      0.67      0.70   4805513

Accuracy: 0.6653728748626837

40-80%

              precision    recall  f1-score   support

           0       0.74      0.70      0.72  24861069
           1       0.65      0.70      0.67  20026114

    accuracy                           0.70  44887183
   macro avg       0.69      0.70      0.69  44887183
weighted avg       0.70      0.70      0.70  44887183

Accuracy: 0.6965823629431145

              precision    recall  f1-score   support

           0       0.12      0.41      0.18    235909
           1       0.93      0.71      0.80   2483775

    accuracy                           0.68   2719684
   macro avg       0.52      0.56      0.49   2719684
weighted avg       0.86      0.68      0.75   2719684

Accuracy: 0.6826465868828878

80-90%

              precision    recall  f1-score   support

           0       0.08      0.41      0.13     18577
           1       0.95      0.71      0.81    296772

    accuracy                           0.69    315349
   macro avg       0.51      0.56      0.47    315349
weighted avg       0.90      0.69      0.77    315349

Accuracy: 0.6880281846462174

90-100%

              precision    recall  f1-score   support

           0       0.07      0.41      0.12     13620
           1       0.95      0.71      0.81    240209

    accuracy                           0.69    253829
   macro avg       0.51      0.56      0.47    253829
weighted avg       0.91      0.69      0.78    253829

Accuracy: 0.690382107639395

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314

              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0

1-10%

              precision    recall  f1-score   support

           0       0.91      1.00      0.95  12989887
           1       0.00      0.00      0.00   1271288

    accuracy                           0.91  14261175
   macro avg       0.46      0.50      0.48  14261175
weighted avg       0.83      0.91      0.87  14261175

Accuracy: 0.9108567141206808

              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282

10-20%

              precision    recall  f1-score   support

           0       0.78      1.00      0.88  18034328
           1       0.00      0.00      0.00   5083660

    accuracy                           0.78  23117988
   macro avg       0.39      0.50      0.44  23117988
weighted avg       0.61      0.78      0.68  23117988

Accuracy: 0.7800993754300763

              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431

20-40%

              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766

              precision    recall  f1-score   support

           0       0.66      1.00      0.80  21029926
           1       0.00      0.00      0.00  10666875

    accuracy                           0.66  31696801
   macro avg       0.33      0.50      0.40  31696801
weighted avg       0.44      0.66      0.53  31696801

Accuracy: 0.6634715597955768

40-80%

              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918

              precision    recall  f1-score   support

           0       0.59      1.00      0.74  22324987
           1       0.00      0.00      0.00  15668439

    accuracy                           0.59  37993426
   macro avg       0.29      0.50      0.37  37993426
weighted avg       0.35      0.59      0.43  37993426

Accuracy: 0.5876013129218723

80-90%

              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803

90-100%

              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

LR_decay_vtime

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.81      0.34      0.48  28055468
           1       0.51      0.90      0.65  21729815

    accuracy                           0.58  49785283
   macro avg       0.66      0.62      0.56  49785283
weighted avg       0.68      0.58      0.55  49785283

Accuracy: 0.5817977573814334

              precision    recall  f1-score   support

           0       0.81      0.34      0.48  28055468
           1       0.51      0.90      0.65  21729815

    accuracy                           0.58  49785283
   macro avg       0.66      0.62      0.56  49785283
weighted avg       0.68      0.58      0.55  49785283

Accuracy: 0.5817977573814334

0-1%

              precision    recall  f1-score   support

           0       0.84      0.34      0.48  27764588
           1       0.46      0.90      0.60  17098553

    accuracy                           0.55  44863141
   macro avg       0.65      0.62      0.54  44863141
weighted avg       0.69      0.55      0.53  44863141

Accuracy: 0.5518211263897015

              precision    recall  f1-score   support

           0       0.84      0.34      0.48  27764588
           1       0.46      0.90      0.60  17098553

    accuracy                           0.55  44863141
   macro avg       0.65      0.62      0.54  44863141
weighted avg       0.69      0.55      0.53  44863141

Accuracy: 0.5518211263897015

1-10%

              precision    recall  f1-score   support

           0       0.08      0.12      0.09    287564
           1       0.94      0.90      0.92   4164787

    accuracy                           0.85   4452351
   macro avg       0.51      0.51      0.51   4452351
weighted avg       0.88      0.85      0.87   4452351

Accuracy: 0.8509160665904373

              precision    recall  f1-score   support

           0       0.81      0.34      0.48  28052152
           1       0.51      0.90      0.65  21263340

    accuracy                           0.58  49315492
   macro avg       0.66      0.62      0.56  49315492
weighted avg       0.68      0.58      0.55  49315492

Accuracy: 0.5788243175187221

10-20%

              precision    recall  f1-score   support

           0       0.01      0.13      0.02      2455
           1       0.99      0.90      0.94    257616

    accuracy                           0.89    260071
   macro avg       0.50      0.51      0.48    260071
weighted avg       0.98      0.89      0.93    260071

Accuracy: 0.8917987780260006

              precision    recall  f1-score   support

           0       0.81      0.34      0.48  28054607
           1       0.51      0.90      0.65  21520956

    accuracy                           0.58  49575563
   macro avg       0.66      0.62      0.56  49575563
weighted avg       0.68      0.58      0.55  49575563

Accuracy: 0.5804661663650699

20-40%

              precision    recall  f1-score   support

           0       0.81      0.34      0.48  28055266
           1       0.51      0.90      0.65  21651524

    accuracy                           0.58  49706790
   macro avg       0.66      0.62      0.56  49706790
weighted avg       0.68      0.58      0.55  49706790

Accuracy: 0.5813016692488089

              precision    recall  f1-score   support

           0       0.01      0.16      0.02       659
           1       1.00      0.90      0.95    130568

    accuracy                           0.90    131227
   macro avg       0.50      0.53      0.48    131227
weighted avg       0.99      0.90      0.94    131227

Accuracy: 0.8969419403019195

40-80%

              precision    recall  f1-score   support

           0       0.00      0.18      0.01       169
           1       1.00      0.90      0.94     65234

    accuracy                           0.90     65403
   macro avg       0.50      0.54      0.48     65403
weighted avg       1.00      0.90      0.94     65403

Accuracy: 0.8953411923000474

              precision    recall  f1-score   support

           0       0.81      0.34      0.48  28055435
           1       0.51      0.90      0.65  21716758

    accuracy                           0.58  49772193
   macro avg       0.66      0.62      0.56  49772193
weighted avg       0.68      0.58      0.55  49772193

Accuracy: 0.5817143319363083

80-90%

              precision    recall  f1-score   support

           0       0.00      0.13      0.01        15
           1       1.00      0.90      0.94      7371

    accuracy                           0.90      7386
   macro avg       0.50      0.52      0.47      7386
weighted avg       1.00      0.90      0.94      7386

Accuracy: 0.8952071486596264

90-100%

              precision    recall  f1-score   support

           0       0.01      0.28      0.02        18
           1       1.00      0.91      0.95      5686

    accuracy                           0.90      5704
   macro avg       0.50      0.59      0.48      5704
weighted avg       0.99      0.90      0.95      5704

Accuracy: 0.9039270687237027

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.89      0.08      0.14  26119367
           1       0.47      0.99      0.64  21615229

    accuracy                           0.49  47734596
   macro avg       0.68      0.53      0.39  47734596
weighted avg       0.70      0.49      0.37  47734596

Accuracy: 0.49043582562215465

              precision    recall  f1-score   support

           0       0.89      0.08      0.14  26119367
           1       0.47      0.99      0.64  21615229

    accuracy                           0.49  47734596
   macro avg       0.68      0.53      0.39  47734596
weighted avg       0.70      0.49      0.37  47734596

Accuracy: 0.49043582562215465

0-1%

              precision    recall  f1-score   support

           0       1.00      0.14      0.25  12053010
           1       0.05      0.99      0.09    508421

    accuracy                           0.17  12561431
   macro avg       0.52      0.56      0.17  12561431
weighted avg       0.96      0.17      0.24  12561431

Accuracy: 0.1745133973987518

              precision    recall  f1-score   support

           0       1.00      0.14      0.25  12053010
           1       0.05      0.99      0.09    508421

    accuracy                           0.17  12561431
   macro avg       0.52      0.56      0.17  12561431
weighted avg       0.96      0.17      0.24  12561431

Accuracy: 0.1745133973987518

1-10%

              precision    recall  f1-score   support

           0       0.92      0.08      0.15  25421477
           1       0.39      0.99      0.56  14975241

    accuracy                           0.42  40396718
   macro avg       0.65      0.53      0.35  40396718
weighted avg       0.72      0.42      0.30  40396718

Accuracy: 0.4166934551465295

              precision    recall  f1-score   support

           0       0.67      0.03      0.05  13368467
           1       0.52      0.99      0.68  14466820

    accuracy                           0.53  27835287
   macro avg       0.60      0.51      0.37  27835287
weighted avg       0.59      0.53      0.38  27835287

Accuracy: 0.5259837989096359

10-20%

              precision    recall  f1-score   support

           0       0.90      0.08      0.15  25924842
           1       0.43      0.99      0.60  18362515

    accuracy                           0.46  44287357
   macro avg       0.67      0.53      0.37  44287357
weighted avg       0.71      0.46      0.33  44287357

Accuracy: 0.4559228494940441

              precision    recall  f1-score   support

           0       0.21      0.02      0.04    503365
           1       0.87      0.99      0.93   3387274

    accuracy                           0.86   3890639
   macro avg       0.54      0.50      0.48   3890639
weighted avg       0.79      0.86      0.81   3890639

Accuracy: 0.8632438013395743

20-40%

              precision    recall  f1-score   support

           0       0.90      0.08      0.14  26072330
           1       0.46      0.99      0.62  20332940

    accuracy                           0.48  46405270
   macro avg       0.68      0.53      0.38  46405270
weighted avg       0.70      0.48      0.35  46405270

Accuracy: 0.47715774523022925

              precision    recall  f1-score   support

           0       0.14      0.03      0.04    147488
           1       0.93      0.99      0.96   1970425

    accuracy                           0.92   2117913
   macro avg       0.54      0.51      0.50   2117913
weighted avg       0.88      0.92      0.90   2117913

Accuracy: 0.9211974240679386

40-80%

              precision    recall  f1-score   support

           0       0.89      0.08      0.14  26113946
           1       0.47      0.99      0.63  21397219

    accuracy                           0.49  47511165
   macro avg       0.68      0.53      0.39  47511165
weighted avg       0.70      0.49      0.37  47511165

Accuracy: 0.48820526711984435

              precision    recall  f1-score   support

           0       0.09      0.03      0.05     41616
           1       0.96      0.99      0.98   1064279

    accuracy                           0.95   1105895
   macro avg       0.53      0.51      0.51   1105895
weighted avg       0.93      0.95      0.94   1105895

Accuracy: 0.9517784238105788

80-90%

              precision    recall  f1-score   support

           0       0.09      0.05      0.06      3093
           1       0.98      0.99      0.98    120943

    accuracy                           0.96    124036
   macro avg       0.53      0.52      0.52    124036
weighted avg       0.95      0.96      0.96    124036

Accuracy: 0.9637363346125318

90-100%

              precision    recall  f1-score   support

           0       0.08      0.04      0.05      2328
           1       0.98      0.99      0.98     97067

    accuracy                           0.97     99395
   macro avg       0.53      0.51      0.52     99395
weighted avg       0.96      0.97      0.96     99395

Accuracy: 0.9660143870416017

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.92      0.04      0.08  24893266
           1       0.46      1.00      0.63  20563095

    accuracy                           0.47  45456361
   macro avg       0.69      0.52      0.36  45456361
weighted avg       0.71      0.47      0.33  45456361

Accuracy: 0.47456570489661504

              precision    recall  f1-score   support

           0       0.92      0.04      0.08  24893266
           1       0.46      1.00      0.63  20563095

    accuracy                           0.47  45456361
   macro avg       0.69      0.52      0.36  45456361
weighted avg       0.71      0.47      0.33  45456361

Accuracy: 0.47456570489661504

0-1%

              precision    recall  f1-score   support

           0       1.00      0.15      0.27   4873589
           1       0.00      0.99      0.00      3872

    accuracy                           0.15   4877461
   macro avg       0.50      0.57      0.13   4877461
weighted avg       1.00      0.15      0.27   4877461

Accuracy: 0.15409431259419604

              precision    recall  f1-score   support

           0       1.00      0.15      0.27   4873589
           1       0.00      0.99      0.00      3872

    accuracy                           0.15   4877461
   macro avg       0.50      0.57      0.13   4877461
weighted avg       1.00      0.15      0.27   4877461

Accuracy: 0.15409431259419604

1-10%

              precision    recall  f1-score   support

           0       0.96      0.05      0.09  21822692
           1       0.28      1.00      0.43   8020644

    accuracy                           0.30  29843336
   macro avg       0.62      0.52      0.26  29843336
weighted avg       0.78      0.30      0.18  29843336

Accuracy: 0.30318336395100065

              precision    recall  f1-score   support

           0       0.89      0.02      0.04  16949103
           1       0.32      1.00      0.49   8016772

    accuracy                           0.33  24965875
   macro avg       0.61      0.51      0.26  24965875
weighted avg       0.71      0.33      0.18  24965875

Accuracy: 0.3323101633730042

10-20%

              precision    recall  f1-score   support

           0       0.94      0.05      0.09  23880186
           1       0.37      1.00      0.54  13481800

    accuracy                           0.39  37361986
   macro avg       0.66      0.52      0.31  37361986
weighted avg       0.74      0.39      0.25  37361986

Accuracy: 0.3882933043227413

              precision    recall  f1-score   support

           0       0.48      0.01      0.02   2057494
           1       0.73      1.00      0.84   5461156

    accuracy                           0.73   7518650
   macro avg       0.60      0.50      0.43   7518650
weighted avg       0.66      0.73      0.62   7518650

Accuracy: 0.7261151935520339

20-40%

              precision    recall  f1-score   support

           0       0.35      0.01      0.03    744974
           1       0.85      1.00      0.91   4060539

    accuracy                           0.84   4805513
   macro avg       0.60      0.50      0.47   4805513
weighted avg       0.77      0.84      0.78   4805513

Accuracy: 0.8432288082458627

40-80%

              precision    recall  f1-score   support

           0       0.92      0.04      0.08  24861069
           1       0.46      1.00      0.63  20026114

    accuracy                           0.47  44887183
   macro avg       0.69      0.52      0.36  44887183
weighted avg       0.71      0.47      0.33  44887183

Accuracy: 0.4686573447926104

              precision    recall  f1-score   support

           0       0.29      0.02      0.04    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.60      0.51      0.50   2719684
weighted avg       0.86      0.91      0.87   2719684

Accuracy: 0.9108234633141203

80-90%

              precision    recall  f1-score   support

           0       0.26      0.03      0.05     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.60      0.51      0.51    315349
weighted avg       0.90      0.94      0.91    315349

Accuracy: 0.9382335127113135

90-100%

              precision    recall  f1-score   support

           0       0.25      0.03      0.05     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.94    253829
   macro avg       0.60      0.51      0.51    253829
weighted avg       0.91      0.94      0.92    253829

Accuracy: 0.943355566148864

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.96      0.02      0.04  22531902
           1       0.43      1.00      0.61  16938696

    accuracy                           0.44  39470598
   macro avg       0.70      0.51      0.32  39470598
weighted avg       0.73      0.44      0.28  39470598

Accuracy: 0.44080791479267684

              precision    recall  f1-score   support

           0       0.96      0.02      0.04  22531902
           1       0.43      1.00      0.61  16938696

    accuracy                           0.44  39470598
   macro avg       0.70      0.51      0.32  39470598
weighted avg       0.73      0.44      0.28  39470598

Accuracy: 0.44080791479267684

0-1%

              precision    recall  f1-score   support

           0       1.00      0.17      0.29   1549999
           1       0.00      0.00      0.00         0

    accuracy                           0.17   1549999
   macro avg       0.50      0.08      0.14   1549999
weighted avg       1.00      0.17      0.29   1549999

Accuracy: 0.16862785072764563

1-10%

              precision    recall  f1-score   support

           0       0.99      0.03      0.06  12989887
           1       0.09      1.00      0.17   1271288

    accuracy                           0.12  14261175
   macro avg       0.54      0.52      0.12  14261175
weighted avg       0.91      0.12      0.07  14261175

Accuracy: 0.11858826499219033

              precision    recall  f1-score   support

           0       0.98      0.01      0.03  11439888
           1       0.10      1.00      0.18   1271288

    accuracy                           0.11  12711176
   macro avg       0.54      0.51      0.11  12711176
weighted avg       0.90      0.11      0.04  12711176

Accuracy: 0.11248644499926679

10-20%

              precision    recall  f1-score   support

           0       0.81      0.01      0.01   5044441
           1       0.43      1.00      0.60   3812372

    accuracy                           0.43   8856813
   macro avg       0.62      0.50      0.31   8856813
weighted avg       0.65      0.43      0.27   8856813

Accuracy: 0.43288471823894215

20-40%

              precision    recall  f1-score   support

           0       0.72      0.01      0.01   2995598
           1       0.65      1.00      0.79   5583215

    accuracy                           0.65   8578813
   macro avg       0.69      0.50      0.40   8578813
weighted avg       0.68      0.65      0.52   8578813

Accuracy: 0.652011764331499

              precision    recall  f1-score   support

           0       0.97      0.02      0.04  21029926
           1       0.34      1.00      0.51  10666875

    accuracy                           0.35  31696801
   macro avg       0.65      0.51      0.28  31696801
weighted avg       0.76      0.35      0.20  31696801

Accuracy: 0.3507822130062904

40-80%

              precision    recall  f1-score   support

           0       0.73      0.01      0.02   1295061
           1       0.80      1.00      0.89   5001564

    accuracy                           0.80   6296625
   macro avg       0.76      0.50      0.45   6296625
weighted avg       0.78      0.80      0.71   6296625

Accuracy: 0.7953721239552936

              precision    recall  f1-score   support

           0       0.96      0.02      0.04  22324987
           1       0.42      1.00      0.59  15668439

    accuracy                           0.42  37993426
   macro avg       0.69      0.51      0.32  37993426
weighted avg       0.74      0.42      0.27  37993426

Accuracy: 0.42446380065856654

80-90%

              precision    recall  f1-score   support

           0       0.78      0.01      0.02    117971
           1       0.86      1.00      0.92    692761

    accuracy                           0.86    810732
   macro avg       0.82      0.51      0.47    810732
weighted avg       0.85      0.86      0.79    810732

Accuracy: 0.8557155755539438

90-100%

              precision    recall  f1-score   support

           0       0.80      0.01      0.03     88944
           1       0.87      1.00      0.93    577496

    accuracy                           0.87    666440
   macro avg       0.83      0.51      0.48    666440
weighted avg       0.86      0.87      0.81    666440

Accuracy: 0.8678380649420803

LR_decay_vtime_w_0_5

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398

              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398

0-1%

              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446

1-10%

              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243

              precision    recall  f1-score   support

           0       0.57      1.00      0.73  28052152
           1       0.00      0.00      0.00  21263340

    accuracy                           0.57  49315492
   macro avg       0.28      0.50      0.36  49315492
weighted avg       0.32      0.57      0.41  49315492

Accuracy: 0.568830419455209

10-20%

              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487

              precision    recall  f1-score   support

           0       0.57      1.00      0.72  28054607
           1       0.00      0.00      0.00  21520956

    accuracy                           0.57  49575563
   macro avg       0.28      0.50      0.36  49575563
weighted avg       0.32      0.57      0.41  49575563

Accuracy: 0.5658958830180103

20-40%

              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055266
           1       0.00      0.00      0.00  21651524

    accuracy                           0.56  49706790
   macro avg       0.28      0.50      0.36  49706790
weighted avg       0.32      0.56      0.41  49706790

Accuracy: 0.5644151634012174

              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288

40-80%

              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375

              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055435
           1       0.00      0.00      0.00  21716758

    accuracy                           0.56  49772193
   macro avg       0.28      0.50      0.36  49772193
weighted avg       0.32      0.56      0.41  49772193

Accuracy: 0.5636768908293834

80-90%

              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455

90-100%

              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243

              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243

0-1%

              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994

              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994

1-10%

              precision    recall  f1-score   support

           0       0.63      1.00      0.77  25421477
           1       0.00      0.00      0.00  14975241

    accuracy                           0.63  40396718
   macro avg       0.31      0.50      0.39  40396718
weighted avg       0.40      0.63      0.49  40396718

Accuracy: 0.6292956026774255

              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514

10-20%

              precision    recall  f1-score   support

           0       0.59      1.00      0.74  25924842
           1       0.00      0.00      0.00  18362515

    accuracy                           0.59  44287357
   macro avg       0.29      0.50      0.37  44287357
weighted avg       0.34      0.59      0.43  44287357

Accuracy: 0.5853779443194138

              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513

20-40%

              precision    recall  f1-score   support

           0       0.56      1.00      0.72  26072330
           1       0.00      0.00      0.00  20332940

    accuracy                           0.56  46405270
   macro avg       0.28      0.50      0.36  46405270
weighted avg       0.32      0.56      0.40  46405270

Accuracy: 0.561839851378949

              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195

40-80%

              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26113946
           1       0.00      0.00      0.00  21397219

    accuracy                           0.55  47511165
   macro avg       0.27      0.50      0.35  47511165
weighted avg       0.30      0.55      0.39  47511165

Accuracy: 0.549638090330978

              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604

80-90%

              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254

90-100%

              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962

              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627

1-10%

              precision    recall  f1-score   support

           0       0.73      1.00      0.84  21822692
           1       0.00      0.00      0.00   8020644

    accuracy                           0.73  29843336
   macro avg       0.37      0.50      0.42  29843336
weighted avg       0.53      0.73      0.62  29843336

Accuracy: 0.7312417083666518

              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122

10-20%

              precision    recall  f1-score   support

           0       0.64      1.00      0.78  23880186
           1       0.00      0.00      0.00  13481800

    accuracy                           0.64  37361986
   macro avg       0.32      0.50      0.39  37361986
weighted avg       0.41      0.64      0.50  37361986

Accuracy: 0.6391572974734266

              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146

20-40%

              precision    recall  f1-score   support

           0       0.58      1.00      0.74  24625160
           1       0.00      0.00      0.00  17542339

    accuracy                           0.58  42167499
   macro avg       0.29      0.50      0.37  42167499
weighted avg       0.34      0.58      0.43  42167499

Accuracy: 0.5839843619845702

              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012

40-80%

              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24861069
           1       0.00      0.00      0.00  20026114

    accuracy                           0.55  44887183
   macro avg       0.28      0.50      0.36  44887183
weighted avg       0.31      0.55      0.39  44887183

Accuracy: 0.553856743471739

              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126

80-90%

              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705

90-100%

              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314

              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0

1-10%

              precision    recall  f1-score   support

           0       0.91      1.00      0.95  12989887
           1       0.00      0.00      0.00   1271288

    accuracy                           0.91  14261175
   macro avg       0.46      0.50      0.48  14261175
weighted avg       0.83      0.91      0.87  14261175

Accuracy: 0.9108567141206808

              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282

10-20%

              precision    recall  f1-score   support

           0       0.78      1.00      0.88  18034328
           1       0.00      0.00      0.00   5083660

    accuracy                           0.78  23117988
   macro avg       0.39      0.50      0.44  23117988
weighted avg       0.61      0.78      0.68  23117988

Accuracy: 0.7800993754300763

              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431

20-40%

              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766

              precision    recall  f1-score   support

           0       0.66      1.00      0.80  21029926
           1       0.00      0.00      0.00  10666875

    accuracy                           0.66  31696801
   macro avg       0.33      0.50      0.40  31696801
weighted avg       0.44      0.66      0.53  31696801

Accuracy: 0.6634715597955768

40-80%

              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918

              precision    recall  f1-score   support

           0       0.59      1.00      0.74  22324987
           1       0.00      0.00      0.00  15668439

    accuracy                           0.59  37993426
   macro avg       0.29      0.50      0.37  37993426
weighted avg       0.35      0.59      0.43  37993426

Accuracy: 0.5876013129218723

80-90%

              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803

90-100%

              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

LR_decay_vtime_w_0_75

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398

              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398

0-1%

              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446

              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446

1-10%

              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243

              precision    recall  f1-score   support

           0       0.57      1.00      0.73  28052152
           1       0.00      0.00      0.00  21263340

    accuracy                           0.57  49315492
   macro avg       0.28      0.50      0.36  49315492
weighted avg       0.32      0.57      0.41  49315492

Accuracy: 0.568830419455209

10-20%

              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487

              precision    recall  f1-score   support

           0       0.57      1.00      0.72  28054607
           1       0.00      0.00      0.00  21520956

    accuracy                           0.57  49575563
   macro avg       0.28      0.50      0.36  49575563
weighted avg       0.32      0.57      0.41  49575563

Accuracy: 0.5658958830180103

20-40%

              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055266
           1       0.00      0.00      0.00  21651524

    accuracy                           0.56  49706790
   macro avg       0.28      0.50      0.36  49706790
weighted avg       0.32      0.56      0.41  49706790

Accuracy: 0.5644151634012174

              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288

40-80%

              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375

              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055435
           1       0.00      0.00      0.00  21716758

    accuracy                           0.56  49772193
   macro avg       0.28      0.50      0.36  49772193
weighted avg       0.32      0.56      0.41  49772193

Accuracy: 0.5636768908293834

80-90%

              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455

90-100%

              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243

              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243

0-1%

              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994

              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994

1-10%

              precision    recall  f1-score   support

           0       0.63      1.00      0.77  25421477
           1       0.00      0.00      0.00  14975241

    accuracy                           0.63  40396718
   macro avg       0.31      0.50      0.39  40396718
weighted avg       0.40      0.63      0.49  40396718

Accuracy: 0.6292956026774255

              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514

10-20%

              precision    recall  f1-score   support

           0       0.59      1.00      0.74  25924842
           1       0.00      0.00      0.00  18362515

    accuracy                           0.59  44287357
   macro avg       0.29      0.50      0.37  44287357
weighted avg       0.34      0.59      0.43  44287357

Accuracy: 0.5853779443194138

              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513

20-40%

              precision    recall  f1-score   support

           0       0.56      1.00      0.72  26072330
           1       0.00      0.00      0.00  20332940

    accuracy                           0.56  46405270
   macro avg       0.28      0.50      0.36  46405270
weighted avg       0.32      0.56      0.40  46405270

Accuracy: 0.561839851378949

              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195

40-80%

              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26113946
           1       0.00      0.00      0.00  21397219

    accuracy                           0.55  47511165
   macro avg       0.27      0.50      0.35  47511165
weighted avg       0.30      0.55      0.39  47511165

Accuracy: 0.549638090330978

              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604

80-90%

              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254

90-100%

              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962

              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627

1-10%

              precision    recall  f1-score   support

           0       0.73      1.00      0.84  21822692
           1       0.00      0.00      0.00   8020644

    accuracy                           0.73  29843336
   macro avg       0.37      0.50      0.42  29843336
weighted avg       0.53      0.73      0.62  29843336

Accuracy: 0.7312417083666518

              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122

10-20%

              precision    recall  f1-score   support

           0       0.64      1.00      0.78  23880186
           1       0.00      0.00      0.00  13481800

    accuracy                           0.64  37361986
   macro avg       0.32      0.50      0.39  37361986
weighted avg       0.41      0.64      0.50  37361986

Accuracy: 0.6391572974734266

              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146

20-40%

              precision    recall  f1-score   support

           0       0.58      1.00      0.74  24625160
           1       0.00      0.00      0.00  17542339

    accuracy                           0.58  42167499
   macro avg       0.29      0.50      0.37  42167499
weighted avg       0.34      0.58      0.43  42167499

Accuracy: 0.5839843619845702

              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012

40-80%

              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24861069
           1       0.00      0.00      0.00  20026114

    accuracy                           0.55  44887183
   macro avg       0.28      0.50      0.36  44887183
weighted avg       0.31      0.55      0.39  44887183

Accuracy: 0.553856743471739

              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126

80-90%

              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705

90-100%

              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314

              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0

1-10%

              precision    recall  f1-score   support

           0       0.91      1.00      0.95  12989887
           1       0.00      0.00      0.00   1271288

    accuracy                           0.91  14261175
   macro avg       0.46      0.50      0.48  14261175
weighted avg       0.83      0.91      0.87  14261175

Accuracy: 0.9108567141206808

              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282

10-20%

              precision    recall  f1-score   support

           0       0.78      1.00      0.88  18034328
           1       0.00      0.00      0.00   5083660

    accuracy                           0.78  23117988
   macro avg       0.39      0.50      0.44  23117988
weighted avg       0.61      0.78      0.68  23117988

Accuracy: 0.7800993754300763

              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431

20-40%

              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766

              precision    recall  f1-score   support

           0       0.66      1.00      0.80  21029926
           1       0.00      0.00      0.00  10666875

    accuracy                           0.66  31696801
   macro avg       0.33      0.50      0.40  31696801
weighted avg       0.44      0.66      0.53  31696801

Accuracy: 0.6634715597955768

40-80%

              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918

              precision    recall  f1-score   support

           0       0.59      1.00      0.74  22324987
           1       0.00      0.00      0.00  15668439

    accuracy                           0.59  37993426
   macro avg       0.29      0.50      0.37  37993426
weighted avg       0.35      0.59      0.43  37993426

Accuracy: 0.5876013129218723

80-90%

              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803

90-100%

              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

LR_id

0.01

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.75      0.89      0.81  28055468
           1       0.81      0.62      0.70  21729815

    accuracy                           0.77  49785283
   macro avg       0.78      0.75      0.76  49785283
weighted avg       0.78      0.77      0.76  49785283

Accuracy: 0.7704485881902088

              precision    recall  f1-score   support

           0       0.75      0.89      0.81  28055468
           1       0.81      0.62      0.70  21729815

    accuracy                           0.77  49785283
   macro avg       0.78      0.75      0.76  49785283
weighted avg       0.78      0.77      0.76  49785283

Accuracy: 0.7704485881902088

0-1%

              precision    recall  f1-score   support

           0       0.75      0.90      0.82  27764588
           1       0.75      0.52      0.61  17098553

    accuracy                           0.75  44863141
   macro avg       0.75      0.71      0.72  44863141
weighted avg       0.75      0.75      0.74  44863141

Accuracy: 0.7517471636682772

1-10%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.47      0.50      0.48   4452351
weighted avg       0.87      0.94      0.90   4452351

Accuracy: 0.9354129986607076

10-20%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935

20-40%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

0.1

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.74      0.88      0.80  26119367
           1       0.81      0.63      0.71  21615229

    accuracy                           0.76  47734596
   macro avg       0.78      0.75      0.75  47734596
weighted avg       0.77      0.76      0.76  47734596

Accuracy: 0.7644793935199535

              precision    recall  f1-score   support

           0       0.74      0.88      0.80  26119367
           1       0.81      0.63      0.71  21615229

    accuracy                           0.76  47734596
   macro avg       0.78      0.75      0.75  47734596
weighted avg       0.77      0.76      0.76  47734596

Accuracy: 0.7644793935199535

0-1%

              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994

1-10%

              precision    recall  f1-score   support

           0       0.59      0.82      0.68  13368467
           1       0.74      0.48      0.58  14466820

    accuracy                           0.64  27835287
   macro avg       0.66      0.65      0.63  27835287
weighted avg       0.67      0.64      0.63  27835287

Accuracy: 0.6394443499001825

10-20%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00    503365
           1       0.87      1.00      0.93   3387274

    accuracy                           0.87   3890639
   macro avg       0.44      0.50      0.47   3890639
weighted avg       0.76      0.87      0.81   3890639

Accuracy: 0.8706215097314348

20-40%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.47      0.50      0.48   2117913
weighted avg       0.87      0.93      0.90   2117913

Accuracy: 0.9303616343069805

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.98     99395
   macro avg       0.49      0.50      0.49     99395
weighted avg       0.95      0.98      0.97     99395

Accuracy: 0.9765782987071784

0.2

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.74      0.87      0.80  24893266
           1       0.80      0.63      0.71  20563095

    accuracy                           0.76  45456361
   macro avg       0.77      0.75      0.75  45456361
weighted avg       0.77      0.76      0.76  45456361

Accuracy: 0.7605667334435328

              precision    recall  f1-score   support

           0       0.74      0.87      0.80  24893266
           1       0.80      0.63      0.71  20563095

    accuracy                           0.76  45456361
   macro avg       0.77      0.75      0.75  45456361
weighted avg       0.77      0.76      0.76  45456361

Accuracy: 0.7605667334435328

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627

1-10%

              precision    recall  f1-score   support

           0       0.69      0.98      0.81  16949103
           1       0.64      0.06      0.11   8016772

    accuracy                           0.69  24965875
   macro avg       0.66      0.52      0.46  24965875
weighted avg       0.67      0.69      0.58  24965875

Accuracy: 0.68720026836632

10-20%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00   2057494
           1       0.73      1.00      0.84   5461156

    accuracy                           0.73   7518650
   macro avg       0.36      0.50      0.42   7518650
weighted avg       0.53      0.73      0.61   7518650

Accuracy: 0.7263479481023855

20-40%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00    744974
           1       0.84      1.00      0.92   4060539

    accuracy                           0.84   4805513
   macro avg       0.42      0.50      0.46   4805513
weighted avg       0.71      0.84      0.77   4805513

Accuracy: 0.8449751358491799

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.46      0.50      0.48   2719684
weighted avg       0.83      0.91      0.87   2719684

Accuracy: 0.91325867269874

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

0.4

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.76      0.83      0.79  22531902
           1       0.74      0.65      0.69  16938696

    accuracy                           0.75  39470598
   macro avg       0.75      0.74      0.74  39470598
weighted avg       0.75      0.75      0.75  39470598

Accuracy: 0.7523183459242244

              precision    recall  f1-score   support

           0       0.76      0.83      0.79  22531902
           1       0.74      0.65      0.69  16938696

    accuracy                           0.75  39470598
   macro avg       0.75      0.74      0.74  39470598
weighted avg       0.75      0.75      0.75  39470598

Accuracy: 0.7523183459242244

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0

1-10%

              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282

10-20%

              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431

20-40%

              precision    recall  f1-score   support

           0       0.43      0.20      0.27   2995598
           1       0.67      0.86      0.75   5583215

    accuracy                           0.63   8578813
   macro avg       0.55      0.53      0.51   8578813
weighted avg       0.58      0.63      0.58   8578813

Accuracy: 0.6280945860458784

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00   1295061
           1       0.79      1.00      0.89   5001564

    accuracy                           0.79   6296625
   macro avg       0.40      0.50      0.44   6296625
weighted avg       0.63      0.79      0.70   6296625

Accuracy: 0.7943245786433208

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00    117971
           1       0.85      1.00      0.92    692761

    accuracy                           0.85    810732
   macro avg       0.43      0.50      0.46    810732
weighted avg       0.73      0.85      0.79    810732

Accuracy: 0.8544882895950819

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     88944
           1       0.87      1.00      0.93    577496

    accuracy                           0.87    666440
   macro avg       0.43      0.50      0.46    666440
weighted avg       0.75      0.87      0.80    666440

Accuracy: 0.8665386231318648

Individual Workload Result

zipf_1_15

Ignore Obj Size

0.01

Model	Promotion	Miss Ratio	Trace	Cache Size	Ignore Obj Size
Offline Clock 2nd iteration	6046758	0.403719	../../result/log/zipf_1_15	0.01	1
Zipf Optimal Distribution	9519768	0.404397	../../result/log/zipf_1_15	0.01	1
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	10440959	0.405173	../../result/log/zipf_1_15	0.01	1
Offline Clock 1st iteration	10440959	0.405173	../../result/log/zipf_1_15	0.01	1
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	10440959	0.405173	../../result/log/zipf_1_15	0.01	1
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	10440959	0.405173	../../result/log/zipf_1_15	0.01	1
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	10440959	0.405173	../../result/log/zipf_1_15	0.01	1
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	10440959	0.405173	../../result/log/zipf_1_15	0.01	1
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	10440865	0.405174	../../result/log/zipf_1_15	0.01	1
LR_id[cache_size=0.01,treshold=0.5]	7071443	0.407551	../../result/log/zipf_1_15	0.01	1
LR_7_w_0_5[cache_size=0.01,treshold=0.5]	7775906	0.408412	../../result/log/zipf_1_15	0.01	1
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	6871009	0.408576	../../result/log/zipf_1_15	0.01	1
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	6868738	0.408583	../../result/log/zipf_1_15	0.01	1
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	6868367	0.408585	../../result/log/zipf_1_15	0.01	1
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	8034724	0.412051	../../result/log/zipf_1_15	0.01	1
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	5728960	0.412332	../../result/log/zipf_1_15	0.01	1
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	5728284	0.412336	../../result/log/zipf_1_15	0.01	1
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	5727499	0.41234	../../result/log/zipf_1_15	0.01	1
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	7858430	0.41261	../../result/log/zipf_1_15	0.01	1
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	7758890	0.412933	../../result/log/zipf_1_15	0.01	1
LR_7_w_0_75[cache_size=0.01,treshold=0.5]	6100603	0.413369	../../result/log/zipf_1_15	0.01	1
LR_5_imba[cache_size=0.01,treshold=0.5]	6120968	0.413391	../../result/log/zipf_1_15	0.01	1
LR_6_imba[cache_size=0.01,treshold=0.5]	6119074	0.413397	../../result/log/zipf_1_15	0.01	1
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	8242479	0.413734	../../result/log/zipf_1_15	0.01	1
LR_9_id[cache_size=0.01,treshold=0.5]	5352939	0.414505	../../result/log/zipf_1_15	0.01	1
LR_8_id[cache_size=0.01,treshold=0.5]	5350429	0.414545	../../result/log/zipf_1_15	0.01	1
LR_7_id[cache_size=0.01,treshold=0.5]	5352334	0.414548	../../result/log/zipf_1_15	0.01	1
LR_1_log[cache_size=0.01,treshold=0.5]	5325422	0.416697	../../result/log/zipf_1_15	0.01	1
LR_4_log[cache_size=0.01,treshold=0.5]	5202087	0.416926	../../result/log/zipf_1_15	0.01	1
LR_8_decay_rtime[cache_size=0.01,treshold=0.5]	4544576	0.417459	../../result/log/zipf_1_15	0.01	1
LR_9_decay_rtime[cache_size=0.01,treshold=0.5]	4542983	0.417466	../../result/log/zipf_1_15	0.01	1
LR_7_decay_rtime[cache_size=0.01,treshold=0.5]	4543024	0.417467	../../result/log/zipf_1_15	0.01	1
LR_6[cache_size=0.01,treshold=0.5]	4811231	0.417996	../../result/log/zipf_1_15	0.01	1
LR_4[cache_size=0.01,treshold=0.5]	4811182	0.417996	../../result/log/zipf_1_15	0.01	1
LR_4_std_scaler[cache_size=0.01,treshold=0.5]	4811054	0.417997	../../result/log/zipf_1_15	0.01	1
LR_4_robust_scaler[cache_size=0.01,treshold=0.5]	4810560	0.417999	../../result/log/zipf_1_15	0.01	1
LR_5[cache_size=0.01,treshold=0.5]	4810293	0.418	../../result/log/zipf_1_15	0.01	1
LR_1[cache_size=0.01,treshold=0.5]	4791719	0.418591	../../result/log/zipf_1_15	0.01	1
LR_1_robust_scaler[cache_size=0.01,treshold=0.5]	4791016	0.418594	../../result/log/zipf_1_15	0.01	1
LR_1_std_scaler[cache_size=0.01,treshold=0.5]	4790646	0.418596	../../result/log/zipf_1_15	0.01	1
LR_3[cache_size=0.01,treshold=0.5]	5677820	0.420166	../../result/log/zipf_1_15	0.01	1
LR_7[cache_size=0.01,treshold=0.5]	4377254	0.420167	../../result/log/zipf_1_15	0.01	1
LR_8[cache_size=0.01,treshold=0.5]	4370271	0.420208	../../result/log/zipf_1_15	0.01	1
LR_2[cache_size=0.01,treshold=0.5]	5657675	0.420251	../../result/log/zipf_1_15	0.01	1
LR_9[cache_size=0.01,treshold=0.5]	4350655	0.420286	../../result/log/zipf_1_15	0.01	1
LR_4_mean[cache_size=0.01,treshold=0.5]	4796501	0.42093	../../result/log/zipf_1_15	0.01	1
LR_1_mean[cache_size=0.01,treshold=0.5]	4865781	0.421486	../../result/log/zipf_1_15	0.01	1
LR_3_log[cache_size=0.01,treshold=0.5]	4445328	0.424864	../../result/log/zipf_1_15	0.01	1
LR_3_mean[cache_size=0.01,treshold=0.5]	4467015	0.424966	../../result/log/zipf_1_15	0.01	1
LR_2_log[cache_size=0.01,treshold=0.5]	4381001	0.425152	../../result/log/zipf_1_15	0.01	1
LR_2_mean[cache_size=0.01,treshold=0.5]	4397774	0.425253	../../result/log/zipf_1_15	0.01	1
LR_decay_rtime[cache_size=0.01,treshold=0.5]	3769272	0.42713	../../result/log/zipf_1_15	0.01	1
LR_8_decay_vtime[cache_size=0.01,treshold=0.5]	3795018	0.42791	../../result/log/zipf_1_15	0.01	1
LR_7_decay_vtime[cache_size=0.01,treshold=0.5]	3794070	0.42792	../../result/log/zipf_1_15	0.01	1
LR_9_decay_vtime[cache_size=0.01,treshold=0.5]	3705737	0.428311	../../result/log/zipf_1_15	0.01	1
LR_decay_vtime[cache_size=0.01,treshold=0.5]	2199323	0.435544	../../result/log/zipf_1_15	0.01	1

0.1

Model	Promotion	Miss Ratio	Trace	Cache Size	Ignore Obj Size
Offline Clock 2nd iteration	5855919	0.209857	../../result/log/zipf_1_15	0.1	1
Zipf Optimal Distribution	8927244	0.211885	../../result/log/zipf_1_15	0.1	1
LR_id[cache_size=0.1,treshold=0.5]	6880980	0.213394	../../result/log/zipf_1_15	0.1	1
Offline Clock 1st iteration	10273545	0.213817	../../result/log/zipf_1_15	0.1	1
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	10273545	0.213817	../../result/log/zipf_1_15	0.1	1
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	10273545	0.213817	../../result/log/zipf_1_15	0.1	1
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	10270931	0.213823	../../result/log/zipf_1_15	0.1	1
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	10253401	0.213858	../../result/log/zipf_1_15	0.1	1
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	10180987	0.213996	../../result/log/zipf_1_15	0.1	1
LR_7_w_0_5[cache_size=0.1,treshold=0.5]	7199618	0.21628	../../result/log/zipf_1_15	0.1	1
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	7342936	0.216761	../../result/log/zipf_1_15	0.1	1
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	7344265	0.216761	../../result/log/zipf_1_15	0.1	1
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	7345719	0.216767	../../result/log/zipf_1_15	0.1	1
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	8225475	0.218649	../../result/log/zipf_1_15	0.1	1
LR_6_imba[cache_size=0.1,treshold=0.5]	6323630	0.21921	../../result/log/zipf_1_15	0.1	1
LR_5_imba[cache_size=0.1,treshold=0.5]	6324306	0.219212	../../result/log/zipf_1_15	0.1	1
LR_9_id[cache_size=0.1,treshold=0.5]	5075678	0.219898	../../result/log/zipf_1_15	0.1	1
LR_8_id[cache_size=0.1,treshold=0.5]	5075023	0.219908	../../result/log/zipf_1_15	0.1	1
LR_7_id[cache_size=0.1,treshold=0.5]	5073914	0.219909	../../result/log/zipf_1_15	0.1	1
LR_7_w_0_75[cache_size=0.1,treshold=0.5]	5591729	0.220011	../../result/log/zipf_1_15	0.1	1
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	4942236	0.221451	../../result/log/zipf_1_15	0.1	1
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	4936645	0.221467	../../result/log/zipf_1_15	0.1	1
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	4925755	0.221508	../../result/log/zipf_1_15	0.1	1
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	6739749	0.221977	../../result/log/zipf_1_15	0.1	1
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	6733932	0.221993	../../result/log/zipf_1_15	0.1	1
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	6729461	0.222005	../../result/log/zipf_1_15	0.1	1
LR_4_robust_scaler[cache_size=0.1,treshold=0.5]	4938384	0.222405	../../result/log/zipf_1_15	0.1	1
LR_4_std_scaler[cache_size=0.1,treshold=0.5]	4937631	0.222405	../../result/log/zipf_1_15	0.1	1
LR_4[cache_size=0.1,treshold=0.5]	4937979	0.222406	../../result/log/zipf_1_15	0.1	1
LR_6[cache_size=0.1,treshold=0.5]	4937595	0.222407	../../result/log/zipf_1_15	0.1	1
LR_5[cache_size=0.1,treshold=0.5]	4936215	0.222414	../../result/log/zipf_1_15	0.1	1
LR_1_log[cache_size=0.1,treshold=0.5]	5080545	0.222431	../../result/log/zipf_1_15	0.1	1
LR_4_log[cache_size=0.1,treshold=0.5]	4985330	0.222485	../../result/log/zipf_1_15	0.1	1
LR_1_robust_scaler[cache_size=0.1,treshold=0.5]	5066595	0.222718	../../result/log/zipf_1_15	0.1	1
LR_1[cache_size=0.1,treshold=0.5]	5066202	0.22272	../../result/log/zipf_1_15	0.1	1
LR_1_std_scaler[cache_size=0.1,treshold=0.5]	5066547	0.222722	../../result/log/zipf_1_15	0.1	1
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	5703595	0.223686	../../result/log/zipf_1_15	0.1	1
LR_8[cache_size=0.1,treshold=0.5]	4191256	0.224658	../../result/log/zipf_1_15	0.1	1
LR_7[cache_size=0.1,treshold=0.5]	4189445	0.224661	../../result/log/zipf_1_15	0.1	1
LR_9[cache_size=0.1,treshold=0.5]	4186743	0.224667	../../result/log/zipf_1_15	0.1	1
LR_3[cache_size=0.1,treshold=0.5]	5628725	0.225365	../../result/log/zipf_1_15	0.1	1
LR_2[cache_size=0.1,treshold=0.5]	5628914	0.225365	../../result/log/zipf_1_15	0.1	1
LR_9_decay_rtime[cache_size=0.1,treshold=0.5]	3704922	0.226196	../../result/log/zipf_1_15	0.1	1
LR_7_decay_rtime[cache_size=0.1,treshold=0.5]	3703970	0.226198	../../result/log/zipf_1_15	0.1	1
LR_8_decay_rtime[cache_size=0.1,treshold=0.5]	3704170	0.226199	../../result/log/zipf_1_15	0.1	1
LR_4_mean[cache_size=0.1,treshold=0.5]	4360658	0.227997	../../result/log/zipf_1_15	0.1	1
LR_decay_rtime[cache_size=0.1,treshold=0.5]	3878974	0.228482	../../result/log/zipf_1_15	0.1	1
LR_1_mean[cache_size=0.1,treshold=0.5]	4495485	0.228914	../../result/log/zipf_1_15	0.1	1
LR_3_mean[cache_size=0.1,treshold=0.5]	4457314	0.229059	../../result/log/zipf_1_15	0.1	1
LR_3_log[cache_size=0.1,treshold=0.5]	4447734	0.229068	../../result/log/zipf_1_15	0.1	1
LR_2_mean[cache_size=0.1,treshold=0.5]	4452194	0.229078	../../result/log/zipf_1_15	0.1	1
LR_2_log[cache_size=0.1,treshold=0.5]	4442448	0.229087	../../result/log/zipf_1_15	0.1	1
LR_7_decay_vtime[cache_size=0.1,treshold=0.5]	4110260	0.23031	../../result/log/zipf_1_15	0.1	1
LR_8_decay_vtime[cache_size=0.1,treshold=0.5]	4090224	0.23038	../../result/log/zipf_1_15	0.1	1
LR_9_decay_vtime[cache_size=0.1,treshold=0.5]	4083679	0.230404	../../result/log/zipf_1_15	0.1	1
LR_decay_vtime[cache_size=0.1,treshold=0.5]	420889	0.248217	../../result/log/zipf_1_15	0.1	1

0.2

Model	Promotion	Miss Ratio	Trace	Cache Size	Ignore Obj Size
Offline Clock 2nd iteration	5679810	0.147307	../../result/log/zipf_1_15	0.2	1
Zipf Optimal Distribution	8496578	0.150203	../../result/log/zipf_1_15	0.2	1
LR_id[cache_size=0.2,treshold=0.5]	6596321	0.150995	../../result/log/zipf_1_15	0.2	1
Offline Clock 1st iteration	10000415	0.15275	../../result/log/zipf_1_15	0.2	1
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	10000415	0.15275	../../result/log/zipf_1_15	0.2	1
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	10000415	0.15275	../../result/log/zipf_1_15	0.2	1
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	10000330	0.15275	../../result/log/zipf_1_15	0.2	1
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	10000415	0.15275	../../result/log/zipf_1_15	0.2	1
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	10000415	0.15275	../../result/log/zipf_1_15	0.2	1
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	10000053	0.152751	../../result/log/zipf_1_15	0.2	1
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	9556774	0.15347	../../result/log/zipf_1_15	0.2	1
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	9544770	0.153491	../../result/log/zipf_1_15	0.2	1
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	9537934	0.153501	../../result/log/zipf_1_15	0.2	1
LR_7_w_0_5[cache_size=0.2,treshold=0.5]	7079830	0.154238	../../result/log/zipf_1_15	0.2	1
LR_6_imba[cache_size=0.2,treshold=0.5]	6438001	0.156483	../../result/log/zipf_1_15	0.2	1
LR_5_imba[cache_size=0.2,treshold=0.5]	6441006	0.156487	../../result/log/zipf_1_15	0.2	1
LR_7_id[cache_size=0.2,treshold=0.5]	4850405	0.156813	../../result/log/zipf_1_15	0.2	1
LR_9_id[cache_size=0.2,treshold=0.5]	4849655	0.156814	../../result/log/zipf_1_15	0.2	1
LR_8_id[cache_size=0.2,treshold=0.5]	4849342	0.156818	../../result/log/zipf_1_15	0.2	1
LR_7_w_0_75[cache_size=0.2,treshold=0.5]	5473148	0.157091	../../result/log/zipf_1_15	0.2	1
LR_4[cache_size=0.2,treshold=0.5]	5043656	0.159145	../../result/log/zipf_1_15	0.2	1
LR_6[cache_size=0.2,treshold=0.5]	5043635	0.159146	../../result/log/zipf_1_15	0.2	1
LR_4_robust_scaler[cache_size=0.2,treshold=0.5]	5043654	0.159146	../../result/log/zipf_1_15	0.2	1
LR_4_std_scaler[cache_size=0.2,treshold=0.5]	5045021	0.159147	../../result/log/zipf_1_15	0.2	1
LR_5[cache_size=0.2,treshold=0.5]	5044732	0.159152	../../result/log/zipf_1_15	0.2	1
LR_1[cache_size=0.2,treshold=0.5]	5110338	0.159392	../../result/log/zipf_1_15	0.2	1
LR_1_robust_scaler[cache_size=0.2,treshold=0.5]	5109552	0.159393	../../result/log/zipf_1_15	0.2	1
LR_1_std_scaler[cache_size=0.2,treshold=0.5]	5111596	0.159396	../../result/log/zipf_1_15	0.2	1
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	5213851	0.15956	../../result/log/zipf_1_15	0.2	1
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	6418211	0.159616	../../result/log/zipf_1_15	0.2	1
LR_4_log[cache_size=0.2,treshold=0.5]	4767107	0.159618	../../result/log/zipf_1_15	0.2	1
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	6415977	0.159622	../../result/log/zipf_1_15	0.2	1
LR_1_log[cache_size=0.2,treshold=0.5]	4838687	0.159623	../../result/log/zipf_1_15	0.2	1
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	6413286	0.159628	../../result/log/zipf_1_15	0.2	1
LR_8[cache_size=0.2,treshold=0.5]	4065657	0.160931	../../result/log/zipf_1_15	0.2	1
LR_7[cache_size=0.2,treshold=0.5]	4064883	0.160932	../../result/log/zipf_1_15	0.2	1
LR_9[cache_size=0.2,treshold=0.5]	4062785	0.160937	../../result/log/zipf_1_15	0.2	1
LR_2[cache_size=0.2,treshold=0.5]	5497626	0.162108	../../result/log/zipf_1_15	0.2	1
LR_3[cache_size=0.2,treshold=0.5]	5497111	0.162109	../../result/log/zipf_1_15	0.2	1
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	5012866	0.16254	../../result/log/zipf_1_15	0.2	1
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	4633419	0.163288	../../result/log/zipf_1_15	0.2	1
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	4628345	0.163297	../../result/log/zipf_1_15	0.2	1
LR_4_mean[cache_size=0.2,treshold=0.5]	4279729	0.16413	../../result/log/zipf_1_15	0.2	1
LR_3_log[cache_size=0.2,treshold=0.5]	4395128	0.165028	../../result/log/zipf_1_15	0.2	1
LR_2_log[cache_size=0.2,treshold=0.5]	4393047	0.165035	../../result/log/zipf_1_15	0.2	1
LR_1_mean[cache_size=0.2,treshold=0.5]	4387148	0.165062	../../result/log/zipf_1_15	0.2	1
LR_3_mean[cache_size=0.2,treshold=0.5]	4385080	0.165068	../../result/log/zipf_1_15	0.2	1
LR_2_mean[cache_size=0.2,treshold=0.5]	4382835	0.165075	../../result/log/zipf_1_15	0.2	1
LR_8_decay_vtime[cache_size=0.2,treshold=0.5]	4021354	0.166205	../../result/log/zipf_1_15	0.2	1
LR_7_decay_vtime[cache_size=0.2,treshold=0.5]	4020575	0.166207	../../result/log/zipf_1_15	0.2	1
LR_9_decay_vtime[cache_size=0.2,treshold=0.5]	4019865	0.166209	../../result/log/zipf_1_15	0.2	1
LR_decay_rtime[cache_size=0.2,treshold=0.5]	3445463	0.16707	../../result/log/zipf_1_15	0.2	1
LR_9_decay_rtime[cache_size=0.2,treshold=0.5]	3314446	0.167228	../../result/log/zipf_1_15	0.2	1
LR_7_decay_rtime[cache_size=0.2,treshold=0.5]	3311970	0.167232	../../result/log/zipf_1_15	0.2	1
LR_8_decay_rtime[cache_size=0.2,treshold=0.5]	3309778	0.167235	../../result/log/zipf_1_15	0.2	1
LR_decay_vtime[cache_size=0.2,treshold=0.5]	217023	0.183617	../../result/log/zipf_1_15	0.2	1

0.4

Model	Promotion	Miss Ratio	Trace	Cache Size	Ignore Obj Size
Offline Clock 2nd iteration	5220469	0.0827401	../../result/log/zipf_1_15	0.4	1
Zipf Optimal Distribution	7658498	0.0867334	../../result/log/zipf_1_15	0.4	1
LR_id[cache_size=0.4,treshold=0.5]	5756268	0.0867684	../../result/log/zipf_1_15	0.4	1
Offline Clock 1st iteration	9234422	0.0897434	../../result/log/zipf_1_15	0.4	1
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	9234422	0.0897434	../../result/log/zipf_1_15	0.4	1
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	9234422	0.0897434	../../result/log/zipf_1_15	0.4	1
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	9234422	0.0897434	../../result/log/zipf_1_15	0.4	1
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	9234422	0.0897434	../../result/log/zipf_1_15	0.4	1
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	8875272	0.0901127	../../result/log/zipf_1_15	0.4	1
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	8875082	0.090113	../../result/log/zipf_1_15	0.4	1
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	8873274	0.0901154	../../result/log/zipf_1_15	0.4	1
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	8871109	0.0901184	../../result/log/zipf_1_15	0.4	1
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	8871109	0.0901184	../../result/log/zipf_1_15	0.4	1
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	8869507	0.0901196	../../result/log/zipf_1_15	0.4	1
LR_7_w_0_5[cache_size=0.4,treshold=0.5]	7039117	0.0903447	../../result/log/zipf_1_15	0.4	1
LR_9_id[cache_size=0.4,treshold=0.5]	4271740	0.0913211	../../result/log/zipf_1_15	0.4	1
LR_8_id[cache_size=0.4,treshold=0.5]	4271790	0.0913224	../../result/log/zipf_1_15	0.4	1
LR_7_id[cache_size=0.4,treshold=0.5]	4270146	0.0913289	../../result/log/zipf_1_15	0.4	1
LR_6_imba[cache_size=0.4,treshold=0.5]	6409182	0.0914187	../../result/log/zipf_1_15	0.4	1
LR_5_imba[cache_size=0.4,treshold=0.5]	6426414	0.0914257	../../result/log/zipf_1_15	0.4	1
LR_7_w_0_75[cache_size=0.4,treshold=0.5]	5455433	0.0916328	../../result/log/zipf_1_15	0.4	1
LR_6[cache_size=0.4,treshold=0.5]	4832139	0.0935194	../../result/log/zipf_1_15	0.4	1
LR_4_robust_scaler[cache_size=0.4,treshold=0.5]	4832055	0.0935211	../../result/log/zipf_1_15	0.4	1
LR_4_std_scaler[cache_size=0.4,treshold=0.5]	4835078	0.0935314	../../result/log/zipf_1_15	0.4	1
LR_5[cache_size=0.4,treshold=0.5]	4833539	0.0935332	../../result/log/zipf_1_15	0.4	1
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	6212278	0.0935659	../../result/log/zipf_1_15	0.4	1
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	6210618	0.0935684	../../result/log/zipf_1_15	0.4	1
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	6210561	0.0935685	../../result/log/zipf_1_15	0.4	1
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	6209984	0.0935694	../../result/log/zipf_1_15	0.4	1
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	6209434	0.0935707	../../result/log/zipf_1_15	0.4	1
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	6209395	0.0935708	../../result/log/zipf_1_15	0.4	1
LR_1[cache_size=0.4,treshold=0.5]	4835579	0.093577	../../result/log/zipf_1_15	0.4	1
LR_1_robust_scaler[cache_size=0.4,treshold=0.5]	4835583	0.0935778	../../result/log/zipf_1_15	0.4	1
LR_1_std_scaler[cache_size=0.4,treshold=0.5]	4836914	0.0935928	../../result/log/zipf_1_15	0.4	1
LR_4[cache_size=0.4,treshold=0.5]	4707969	0.093772	../../result/log/zipf_1_15	0.4	1
LR_4_log[cache_size=0.4,treshold=0.5]	4268991	0.0940956	../../result/log/zipf_1_15	0.4	1
LR_1_log[cache_size=0.4,treshold=0.5]	4288290	0.0941153	../../result/log/zipf_1_15	0.4	1
LR_7[cache_size=0.4,treshold=0.5]	3740510	0.0943411	../../result/log/zipf_1_15	0.4	1
LR_9[cache_size=0.4,treshold=0.5]	3740168	0.0943415	../../result/log/zipf_1_15	0.4	1
LR_8[cache_size=0.4,treshold=0.5]	3740868	0.094342	../../result/log/zipf_1_15	0.4	1
LR_3[cache_size=0.4,treshold=0.5]	5042193	0.0956799	../../result/log/zipf_1_15	0.4	1
LR_2[cache_size=0.4,treshold=0.5]	4368005	0.0970026	../../result/log/zipf_1_15	0.4	1
LR_4_mean[cache_size=0.4,treshold=0.5]	3953339	0.0970384	../../result/log/zipf_1_15	0.4	1
LR_2_log[cache_size=0.4,treshold=0.5]	4102908	0.097348	../../result/log/zipf_1_15	0.4	1
LR_3_log[cache_size=0.4,treshold=0.5]	4102656	0.0973483	../../result/log/zipf_1_15	0.4	1
LR_3_mean[cache_size=0.4,treshold=0.5]	4049658	0.0977533	../../result/log/zipf_1_15	0.4	1
LR_2_mean[cache_size=0.4,treshold=0.5]	4048971	0.097755	../../result/log/zipf_1_15	0.4	1
LR_1_mean[cache_size=0.4,treshold=0.5]	4048716	0.0977575	../../result/log/zipf_1_15	0.4	1
LR_8_decay_vtime[cache_size=0.4,treshold=0.5]	3762497	0.0984022	../../result/log/zipf_1_15	0.4	1
LR_9_decay_vtime[cache_size=0.4,treshold=0.5]	3761198	0.0984033	../../result/log/zipf_1_15	0.4	1
LR_7_decay_vtime[cache_size=0.4,treshold=0.5]	3760799	0.0984036	../../result/log/zipf_1_15	0.4	1
LR_8_decay_rtime[cache_size=0.4,treshold=0.5]	3727070	0.0984849	../../result/log/zipf_1_15	0.4	1
LR_7_decay_rtime[cache_size=0.4,treshold=0.5]	3726531	0.0984863	../../result/log/zipf_1_15	0.4	1
LR_9_decay_rtime[cache_size=0.4,treshold=0.5]	3725966	0.0984879	../../result/log/zipf_1_15	0.4	1
LR_decay_rtime[cache_size=0.4,treshold=0.5]	2082106	0.103085	../../result/log/zipf_1_15	0.4	1
LR_decay_vtime[cache_size=0.4,treshold=0.5]	87314	0.113052	../../result/log/zipf_1_15	0.4	1

zipf_1_16

Ignore Obj Size

0.01

Model	Promotion	Miss Ratio	Trace	Cache Size	Ignore Obj Size
Offline Clock 2nd iteration	6044928	0.403882	../../result/log/zipf_1_16	0.01	1
Zipf Optimal Distribution	9516893	0.40457	../../result/log/zipf_1_16	0.01	1
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	10437637	0.405347	../../result/log/zipf_1_16	0.01	1
Offline Clock 1st iteration	10437637	0.405347	../../result/log/zipf_1_16	0.01	1
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	10437637	0.405347	../../result/log/zipf_1_16	0.01	1
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	10437637	0.405347	../../result/log/zipf_1_16	0.01	1
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	10437637	0.405347	../../result/log/zipf_1_16	0.01	1
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	10437637	0.405347	../../result/log/zipf_1_16	0.01	1
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	10437518	0.405348	../../result/log/zipf_1_16	0.01	1
LR_id[cache_size=0.01,treshold=0.5]	7070078	0.407716	../../result/log/zipf_1_16	0.01	1
LR_7_w_0_5[cache_size=0.01,treshold=0.5]	7774546	0.408582	../../result/log/zipf_1_16	0.01	1
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	6869407	0.40874	../../result/log/zipf_1_16	0.01	1
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	6867350	0.408746	../../result/log/zipf_1_16	0.01	1
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	6867037	0.408747	../../result/log/zipf_1_16	0.01	1
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	8031581	0.412232	../../result/log/zipf_1_16	0.01	1
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	5726004	0.412496	../../result/log/zipf_1_16	0.01	1
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	5725118	0.4125	../../result/log/zipf_1_16	0.01	1
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	5724526	0.412503	../../result/log/zipf_1_16	0.01	1
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	7853577	0.412794	../../result/log/zipf_1_16	0.01	1
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	7754885	0.413109	../../result/log/zipf_1_16	0.01	1
LR_7_w_0_75[cache_size=0.01,treshold=0.5]	6099054	0.413529	../../result/log/zipf_1_16	0.01	1
LR_5_imba[cache_size=0.01,treshold=0.5]	6117204	0.413555	../../result/log/zipf_1_16	0.01	1
LR_6_imba[cache_size=0.01,treshold=0.5]	6115382	0.41356	../../result/log/zipf_1_16	0.01	1
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	8239578	0.413925	../../result/log/zipf_1_16	0.01	1
LR_9_id[cache_size=0.01,treshold=0.5]	5351095	0.414665	../../result/log/zipf_1_16	0.01	1
LR_8_id[cache_size=0.01,treshold=0.5]	5348562	0.414701	../../result/log/zipf_1_16	0.01	1
LR_7_id[cache_size=0.01,treshold=0.5]	5350660	0.414704	../../result/log/zipf_1_16	0.01	1
LR_1_log[cache_size=0.01,treshold=0.5]	5322339	0.416864	../../result/log/zipf_1_16	0.01	1
LR_4_log[cache_size=0.01,treshold=0.5]	5200474	0.417089	../../result/log/zipf_1_16	0.01	1
LR_8_decay_rtime[cache_size=0.01,treshold=0.5]	4543597	0.417588	../../result/log/zipf_1_16	0.01	1
LR_9_decay_rtime[cache_size=0.01,treshold=0.5]	4542423	0.417593	../../result/log/zipf_1_16	0.01	1
LR_7_decay_rtime[cache_size=0.01,treshold=0.5]	4542238	0.417596	../../result/log/zipf_1_16	0.01	1
LR_4_std_scaler[cache_size=0.01,treshold=0.5]	4810029	0.418154	../../result/log/zipf_1_16	0.01	1
LR_4[cache_size=0.01,treshold=0.5]	4810068	0.418154	../../result/log/zipf_1_16	0.01	1
LR_6[cache_size=0.01,treshold=0.5]	4809945	0.418154	../../result/log/zipf_1_16	0.01	1
LR_4_robust_scaler[cache_size=0.01,treshold=0.5]	4809511	0.418156	../../result/log/zipf_1_16	0.01	1
LR_5[cache_size=0.01,treshold=0.5]	4808886	0.418159	../../result/log/zipf_1_16	0.01	1
LR_1[cache_size=0.01,treshold=0.5]	4788898	0.418756	../../result/log/zipf_1_16	0.01	1
LR_1_robust_scaler[cache_size=0.01,treshold=0.5]	4788111	0.418759	../../result/log/zipf_1_16	0.01	1
LR_1_std_scaler[cache_size=0.01,treshold=0.5]	4787832	0.418761	../../result/log/zipf_1_16	0.01	1
LR_7[cache_size=0.01,treshold=0.5]	4375097	0.420329	../../result/log/zipf_1_16	0.01	1
LR_3[cache_size=0.01,treshold=0.5]	5674629	0.420334	../../result/log/zipf_1_16	0.01	1
LR_8[cache_size=0.01,treshold=0.5]	4368814	0.420365	../../result/log/zipf_1_16	0.01	1
LR_2[cache_size=0.01,treshold=0.5]	5654642	0.420418	../../result/log/zipf_1_16	0.01	1
LR_9[cache_size=0.01,treshold=0.5]	4349191	0.420441	../../result/log/zipf_1_16	0.01	1
LR_4_mean[cache_size=0.01,treshold=0.5]	4765470	0.421205	../../result/log/zipf_1_16	0.01	1
LR_1_mean[cache_size=0.01,treshold=0.5]	4830414	0.421762	../../result/log/zipf_1_16	0.01	1
LR_3_log[cache_size=0.01,treshold=0.5]	4448101	0.424994	../../result/log/zipf_1_16	0.01	1
LR_3_mean[cache_size=0.01,treshold=0.5]	4468241	0.425107	../../result/log/zipf_1_16	0.01	1
LR_2_log[cache_size=0.01,treshold=0.5]	4384297	0.425281	../../result/log/zipf_1_16	0.01	1
LR_2_mean[cache_size=0.01,treshold=0.5]	4399249	0.425395	../../result/log/zipf_1_16	0.01	1
LR_decay_rtime[cache_size=0.01,treshold=0.5]	3768645	0.427273	../../result/log/zipf_1_16	0.01	1
LR_8_decay_vtime[cache_size=0.01,treshold=0.5]	3794773	0.428055	../../result/log/zipf_1_16	0.01	1
LR_7_decay_vtime[cache_size=0.01,treshold=0.5]	3793209	0.428066	../../result/log/zipf_1_16	0.01	1
LR_9_decay_vtime[cache_size=0.01,treshold=0.5]	3704986	0.428455	../../result/log/zipf_1_16	0.01	1
LR_decay_vtime[cache_size=0.01,treshold=0.5]	2199923	0.435688	../../result/log/zipf_1_16	0.01	1

0.1

Model	Promotion	Miss Ratio	Trace	Cache Size	Ignore Obj Size
Offline Clock 2nd iteration	5851636	0.210029	../../result/log/zipf_1_16	0.1	1
Zipf Optimal Distribution	8926367	0.212052	../../result/log/zipf_1_16	0.1	1
LR_id[cache_size=0.1,treshold=0.5]	6878413	0.213578	../../result/log/zipf_1_16	0.1	1
Offline Clock 1st iteration	10274590	0.213983	../../result/log/zipf_1_16	0.1	1
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	10274590	0.213983	../../result/log/zipf_1_16	0.1	1
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	10274590	0.213983	../../result/log/zipf_1_16	0.1	1
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	10271995	0.213988	../../result/log/zipf_1_16	0.1	1
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	10256628	0.214019	../../result/log/zipf_1_16	0.1	1
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	10183372	0.21416	../../result/log/zipf_1_16	0.1	1
LR_7_w_0_5[cache_size=0.1,treshold=0.5]	7200645	0.216435	../../result/log/zipf_1_16	0.1	1
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	7342209	0.216934	../../result/log/zipf_1_16	0.1	1
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	7343378	0.216936	../../result/log/zipf_1_16	0.1	1
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	7344877	0.216942	../../result/log/zipf_1_16	0.1	1
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	8231439	0.218805	../../result/log/zipf_1_16	0.1	1
LR_6_imba[cache_size=0.1,treshold=0.5]	6327297	0.219355	../../result/log/zipf_1_16	0.1	1
LR_5_imba[cache_size=0.1,treshold=0.5]	6327985	0.219356	../../result/log/zipf_1_16	0.1	1
LR_9_id[cache_size=0.1,treshold=0.5]	5075649	0.220048	../../result/log/zipf_1_16	0.1	1
LR_8_id[cache_size=0.1,treshold=0.5]	5074937	0.220058	../../result/log/zipf_1_16	0.1	1
LR_7_id[cache_size=0.1,treshold=0.5]	5073821	0.22006	../../result/log/zipf_1_16	0.1	1
LR_7_w_0_75[cache_size=0.1,treshold=0.5]	5593280	0.220169	../../result/log/zipf_1_16	0.1	1
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	4943629	0.221601	../../result/log/zipf_1_16	0.1	1
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	4936727	0.221616	../../result/log/zipf_1_16	0.1	1
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	4925687	0.221659	../../result/log/zipf_1_16	0.1	1
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	6742116	0.222142	../../result/log/zipf_1_16	0.1	1
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	6736544	0.222158	../../result/log/zipf_1_16	0.1	1
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	6732196	0.22217	../../result/log/zipf_1_16	0.1	1
LR_4_robust_scaler[cache_size=0.1,treshold=0.5]	4939872	0.222556	../../result/log/zipf_1_16	0.1	1
LR_4_std_scaler[cache_size=0.1,treshold=0.5]	4939135	0.222556	../../result/log/zipf_1_16	0.1	1
LR_4[cache_size=0.1,treshold=0.5]	4939440	0.222557	../../result/log/zipf_1_16	0.1	1
LR_6[cache_size=0.1,treshold=0.5]	4939093	0.222558	../../result/log/zipf_1_16	0.1	1
LR_5[cache_size=0.1,treshold=0.5]	4937768	0.222564	../../result/log/zipf_1_16	0.1	1
LR_1_log[cache_size=0.1,treshold=0.5]	5079857	0.222593	../../result/log/zipf_1_16	0.1	1
LR_4_log[cache_size=0.1,treshold=0.5]	4986564	0.222636	../../result/log/zipf_1_16	0.1	1
LR_1_robust_scaler[cache_size=0.1,treshold=0.5]	5065124	0.222876	../../result/log/zipf_1_16	0.1	1
LR_1[cache_size=0.1,treshold=0.5]	5064768	0.222877	../../result/log/zipf_1_16	0.1	1
LR_1_std_scaler[cache_size=0.1,treshold=0.5]	5065031	0.222879	../../result/log/zipf_1_16	0.1	1
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	5705574	0.223839	../../result/log/zipf_1_16	0.1	1
LR_8[cache_size=0.1,treshold=0.5]	4190226	0.224816	../../result/log/zipf_1_16	0.1	1
LR_7[cache_size=0.1,treshold=0.5]	4188394	0.224819	../../result/log/zipf_1_16	0.1	1
LR_9[cache_size=0.1,treshold=0.5]	4185754	0.224825	../../result/log/zipf_1_16	0.1	1
LR_2[cache_size=0.1,treshold=0.5]	5631981	0.225515	../../result/log/zipf_1_16	0.1	1
LR_3[cache_size=0.1,treshold=0.5]	5631730	0.225516	../../result/log/zipf_1_16	0.1	1
LR_9_decay_rtime[cache_size=0.1,treshold=0.5]	3706147	0.226329	../../result/log/zipf_1_16	0.1	1
LR_8_decay_rtime[cache_size=0.1,treshold=0.5]	3705147	0.226332	../../result/log/zipf_1_16	0.1	1
LR_7_decay_rtime[cache_size=0.1,treshold=0.5]	3704837	0.226332	../../result/log/zipf_1_16	0.1	1
LR_4_mean[cache_size=0.1,treshold=0.5]	4360955	0.228154	../../result/log/zipf_1_16	0.1	1
LR_decay_rtime[cache_size=0.1,treshold=0.5]	3880149	0.228621	../../result/log/zipf_1_16	0.1	1
LR_1_mean[cache_size=0.1,treshold=0.5]	4495191	0.229072	../../result/log/zipf_1_16	0.1	1
LR_3_mean[cache_size=0.1,treshold=0.5]	4458894	0.22921	../../result/log/zipf_1_16	0.1	1
LR_3_log[cache_size=0.1,treshold=0.5]	4449186	0.229217	../../result/log/zipf_1_16	0.1	1
LR_2_mean[cache_size=0.1,treshold=0.5]	4453705	0.22923	../../result/log/zipf_1_16	0.1	1
LR_2_log[cache_size=0.1,treshold=0.5]	4443916	0.229237	../../result/log/zipf_1_16	0.1	1
LR_7_decay_vtime[cache_size=0.1,treshold=0.5]	4111649	0.230457	../../result/log/zipf_1_16	0.1	1
LR_8_decay_vtime[cache_size=0.1,treshold=0.5]	4091646	0.230531	../../result/log/zipf_1_16	0.1	1
LR_9_decay_vtime[cache_size=0.1,treshold=0.5]	4085206	0.230552	../../result/log/zipf_1_16	0.1	1
LR_decay_vtime[cache_size=0.1,treshold=0.5]	420884	0.248365	../../result/log/zipf_1_16	0.1	1

0.2

Model	Promotion	Miss Ratio	Trace	Cache Size	Ignore Obj Size
Offline Clock 2nd iteration	5683642	0.147393	../../result/log/zipf_1_16	0.2	1
Zipf Optimal Distribution	8505430	0.150288	../../result/log/zipf_1_16	0.2	1
LR_id[cache_size=0.2,treshold=0.5]	6601552	0.151068	../../result/log/zipf_1_16	0.2	1
Offline Clock 1st iteration	10010518	0.152836	../../result/log/zipf_1_16	0.2	1
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	10010518	0.152836	../../result/log/zipf_1_16	0.2	1
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	10010518	0.152836	../../result/log/zipf_1_16	0.2	1
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	10010456	0.152836	../../result/log/zipf_1_16	0.2	1
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	10010518	0.152836	../../result/log/zipf_1_16	0.2	1
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	10010518	0.152836	../../result/log/zipf_1_16	0.2	1
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	10010202	0.152837	../../result/log/zipf_1_16	0.2	1
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	9568890	0.153551	../../result/log/zipf_1_16	0.2	1
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	9557105	0.153572	../../result/log/zipf_1_16	0.2	1
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	9550261	0.153584	../../result/log/zipf_1_16	0.2	1
LR_7_w_0_5[cache_size=0.2,treshold=0.5]	7086766	0.154342	../../result/log/zipf_1_16	0.2	1
LR_6_imba[cache_size=0.2,treshold=0.5]	6444774	0.15659	../../result/log/zipf_1_16	0.2	1
LR_5_imba[cache_size=0.2,treshold=0.5]	6447329	0.156597	../../result/log/zipf_1_16	0.2	1
LR_7_id[cache_size=0.2,treshold=0.5]	4853092	0.156901	../../result/log/zipf_1_16	0.2	1
LR_9_id[cache_size=0.2,treshold=0.5]	4852161	0.156903	../../result/log/zipf_1_16	0.2	1
LR_8_id[cache_size=0.2,treshold=0.5]	4852076	0.156907	../../result/log/zipf_1_16	0.2	1
LR_7_w_0_75[cache_size=0.2,treshold=0.5]	5478880	0.157195	../../result/log/zipf_1_16	0.2	1
LR_4[cache_size=0.2,treshold=0.5]	5049745	0.159245	../../result/log/zipf_1_16	0.2	1
LR_6[cache_size=0.2,treshold=0.5]	5049550	0.159246	../../result/log/zipf_1_16	0.2	1
LR_4_robust_scaler[cache_size=0.2,treshold=0.5]	5049541	0.159246	../../result/log/zipf_1_16	0.2	1
LR_4_std_scaler[cache_size=0.2,treshold=0.5]	5050818	0.159248	../../result/log/zipf_1_16	0.2	1
LR_5[cache_size=0.2,treshold=0.5]	5050714	0.159251	../../result/log/zipf_1_16	0.2	1
LR_1[cache_size=0.2,treshold=0.5]	5116713	0.15949	../../result/log/zipf_1_16	0.2	1
LR_1_robust_scaler[cache_size=0.2,treshold=0.5]	5115868	0.159491	../../result/log/zipf_1_16	0.2	1
LR_1_std_scaler[cache_size=0.2,treshold=0.5]	5117756	0.159495	../../result/log/zipf_1_16	0.2	1
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	5216755	0.159664	../../result/log/zipf_1_16	0.2	1
LR_4_log[cache_size=0.2,treshold=0.5]	4772191	0.159728	../../result/log/zipf_1_16	0.2	1
LR_1_log[cache_size=0.2,treshold=0.5]	4846788	0.159729	../../result/log/zipf_1_16	0.2	1
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	6422871	0.159729	../../result/log/zipf_1_16	0.2	1
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	6420490	0.159735	../../result/log/zipf_1_16	0.2	1
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	6417610	0.159743	../../result/log/zipf_1_16	0.2	1
LR_7[cache_size=0.2,treshold=0.5]	4067828	0.161033	../../result/log/zipf_1_16	0.2	1
LR_8[cache_size=0.2,treshold=0.5]	4068538	0.161034	../../result/log/zipf_1_16	0.2	1
LR_9[cache_size=0.2,treshold=0.5]	4065692	0.161038	../../result/log/zipf_1_16	0.2	1
LR_2[cache_size=0.2,treshold=0.5]	5500790	0.162234	../../result/log/zipf_1_16	0.2	1
LR_3[cache_size=0.2,treshold=0.5]	5500292	0.162235	../../result/log/zipf_1_16	0.2	1
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	5017335	0.162652	../../result/log/zipf_1_16	0.2	1
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	4638118	0.163395	../../result/log/zipf_1_16	0.2	1
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	4633154	0.163404	../../result/log/zipf_1_16	0.2	1
LR_4_mean[cache_size=0.2,treshold=0.5]	4284489	0.16423	../../result/log/zipf_1_16	0.2	1
LR_3_log[cache_size=0.2,treshold=0.5]	4399334	0.165133	../../result/log/zipf_1_16	0.2	1
LR_2_log[cache_size=0.2,treshold=0.5]	4397483	0.165138	../../result/log/zipf_1_16	0.2	1
LR_1_mean[cache_size=0.2,treshold=0.5]	4392730	0.165158	../../result/log/zipf_1_16	0.2	1
LR_3_mean[cache_size=0.2,treshold=0.5]	4390766	0.165166	../../result/log/zipf_1_16	0.2	1
LR_2_mean[cache_size=0.2,treshold=0.5]	4388570	0.165173	../../result/log/zipf_1_16	0.2	1
LR_8_decay_vtime[cache_size=0.2,treshold=0.5]	4026213	0.16631	../../result/log/zipf_1_16	0.2	1
LR_7_decay_vtime[cache_size=0.2,treshold=0.5]	4025598	0.166311	../../result/log/zipf_1_16	0.2	1
LR_9_decay_vtime[cache_size=0.2,treshold=0.5]	4024916	0.166314	../../result/log/zipf_1_16	0.2	1
LR_decay_rtime[cache_size=0.2,treshold=0.5]	3449253	0.167174	../../result/log/zipf_1_16	0.2	1
LR_9_decay_rtime[cache_size=0.2,treshold=0.5]	3318529	0.167323	../../result/log/zipf_1_16	0.2	1
LR_7_decay_rtime[cache_size=0.2,treshold=0.5]	3316277	0.167327	../../result/log/zipf_1_16	0.2	1
LR_8_decay_rtime[cache_size=0.2,treshold=0.5]	3313986	0.167329	../../result/log/zipf_1_16	0.2	1
LR_decay_vtime[cache_size=0.2,treshold=0.5]	216807	0.183694	../../result/log/zipf_1_16	0.2	1

0.4

Model	Promotion	Miss Ratio	Trace	Cache Size	Ignore Obj Size
Offline Clock 2nd iteration	5225924	0.0827439	../../result/log/zipf_1_16	0.4	1
Zipf Optimal Distribution	7664562	0.0867505	../../result/log/zipf_1_16	0.4	1
LR_id[cache_size=0.4,treshold=0.5]	5760718	0.0868007	../../result/log/zipf_1_16	0.4	1
Offline Clock 1st iteration	9242882	0.0897459	../../result/log/zipf_1_16	0.4	1
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	9242882	0.0897459	../../result/log/zipf_1_16	0.4	1
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	9242882	0.0897459	../../result/log/zipf_1_16	0.4	1
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	9242882	0.0897459	../../result/log/zipf_1_16	0.4	1
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	9242882	0.0897459	../../result/log/zipf_1_16	0.4	1
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	8886004	0.090124	../../result/log/zipf_1_16	0.4	1
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	8885767	0.090124	../../result/log/zipf_1_16	0.4	1
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	8884109	0.0901252	../../result/log/zipf_1_16	0.4	1
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	8882262	0.0901278	../../result/log/zipf_1_16	0.4	1
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	8882262	0.0901278	../../result/log/zipf_1_16	0.4	1
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	8880669	0.0901298	../../result/log/zipf_1_16	0.4	1
LR_7_w_0_5[cache_size=0.4,treshold=0.5]	7051152	0.0903573	../../result/log/zipf_1_16	0.4	1
LR_9_id[cache_size=0.4,treshold=0.5]	4276168	0.0913508	../../result/log/zipf_1_16	0.4	1
LR_8_id[cache_size=0.4,treshold=0.5]	4276297	0.091352	../../result/log/zipf_1_16	0.4	1
LR_7_id[cache_size=0.4,treshold=0.5]	4274742	0.0913576	../../result/log/zipf_1_16	0.4	1
LR_6_imba[cache_size=0.4,treshold=0.5]	6416254	0.0914507	../../result/log/zipf_1_16	0.4	1
LR_5_imba[cache_size=0.4,treshold=0.5]	6433458	0.091456	../../result/log/zipf_1_16	0.4	1
LR_7_w_0_75[cache_size=0.4,treshold=0.5]	5459838	0.0916519	../../result/log/zipf_1_16	0.4	1
LR_6[cache_size=0.4,treshold=0.5]	4837475	0.0935377	../../result/log/zipf_1_16	0.4	1
LR_4_robust_scaler[cache_size=0.4,treshold=0.5]	4837457	0.0935397	../../result/log/zipf_1_16	0.4	1
LR_4_std_scaler[cache_size=0.4,treshold=0.5]	4840240	0.0935487	../../result/log/zipf_1_16	0.4	1
LR_5[cache_size=0.4,treshold=0.5]	4838764	0.0935512	../../result/log/zipf_1_16	0.4	1
LR_1_robust_scaler[cache_size=0.4,treshold=0.5]	4841267	0.0935939	../../result/log/zipf_1_16	0.4	1
LR_1[cache_size=0.4,treshold=0.5]	4840982	0.0935942	../../result/log/zipf_1_16	0.4	1
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	6217889	0.0935949	../../result/log/zipf_1_16	0.4	1
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	6216166	0.0935974	../../result/log/zipf_1_16	0.4	1
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	6216062	0.0935977	../../result/log/zipf_1_16	0.4	1
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	6215585	0.0935983	../../result/log/zipf_1_16	0.4	1
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	6215091	0.0935984	../../result/log/zipf_1_16	0.4	1
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	6215014	0.0935986	../../result/log/zipf_1_16	0.4	1
LR_1_std_scaler[cache_size=0.4,treshold=0.5]	4842354	0.0936088	../../result/log/zipf_1_16	0.4	1
LR_4[cache_size=0.4,treshold=0.5]	4714824	0.0937862	../../result/log/zipf_1_16	0.4	1
LR_4_log[cache_size=0.4,treshold=0.5]	4277838	0.0941138	../../result/log/zipf_1_16	0.4	1
LR_1_log[cache_size=0.4,treshold=0.5]	4296714	0.094131	../../result/log/zipf_1_16	0.4	1
LR_7[cache_size=0.4,treshold=0.5]	3743350	0.0943692	../../result/log/zipf_1_16	0.4	1
LR_9[cache_size=0.4,treshold=0.5]	3743079	0.0943696	../../result/log/zipf_1_16	0.4	1
LR_8[cache_size=0.4,treshold=0.5]	3743751	0.0943697	../../result/log/zipf_1_16	0.4	1
LR_3[cache_size=0.4,treshold=0.5]	5047717	0.095701	../../result/log/zipf_1_16	0.4	1
LR_2[cache_size=0.4,treshold=0.5]	4373379	0.0970193	../../result/log/zipf_1_16	0.4	1
LR_4_mean[cache_size=0.4,treshold=0.5]	3960105	0.097059	../../result/log/zipf_1_16	0.4	1
LR_2_log[cache_size=0.4,treshold=0.5]	4108936	0.0973669	../../result/log/zipf_1_16	0.4	1
LR_3_log[cache_size=0.4,treshold=0.5]	4108635	0.0973677	../../result/log/zipf_1_16	0.4	1
LR_1_mean[cache_size=0.4,treshold=0.5]	4052857	0.0977761	../../result/log/zipf_1_16	0.4	1
LR_3_mean[cache_size=0.4,treshold=0.5]	4053026	0.0977776	../../result/log/zipf_1_16	0.4	1
LR_2_mean[cache_size=0.4,treshold=0.5]	4052359	0.0977788	../../result/log/zipf_1_16	0.4	1
LR_8_decay_vtime[cache_size=0.4,treshold=0.5]	3770881	0.0984211	../../result/log/zipf_1_16	0.4	1
LR_9_decay_vtime[cache_size=0.4,treshold=0.5]	3769609	0.0984242	../../result/log/zipf_1_16	0.4	1
LR_7_decay_vtime[cache_size=0.4,treshold=0.5]	3769124	0.0984251	../../result/log/zipf_1_16	0.4	1
LR_8_decay_rtime[cache_size=0.4,treshold=0.5]	3732022	0.0985083	../../result/log/zipf_1_16	0.4	1
LR_7_decay_rtime[cache_size=0.4,treshold=0.5]	3731373	0.0985102	../../result/log/zipf_1_16	0.4	1
LR_9_decay_rtime[cache_size=0.4,treshold=0.5]	3730649	0.0985127	../../result/log/zipf_1_16	0.4	1
LR_decay_rtime[cache_size=0.4,treshold=0.5]	2084724	0.103106	../../result/log/zipf_1_16	0.4	1
LR_decay_vtime[cache_size=0.4,treshold=0.5]	87208	0.113083	../../result/log/zipf_1_16	0.4	1

zipf_1_17

Ignore Obj Size

0.01

Model	Promotion	Miss Ratio	Trace	Cache Size	Ignore Obj Size
Offline Clock 2nd iteration	6046350	0.403777	../../result/log/zipf_1_17	0.01	1
Zipf Optimal Distribution	9518366	0.404457	../../result/log/zipf_1_17	0.01	1
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	10439467	0.405242	../../result/log/zipf_1_17	0.01	1
Offline Clock 1st iteration	10439561	0.405242	../../result/log/zipf_1_17	0.01	1
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	10439561	0.405242	../../result/log/zipf_1_17	0.01	1
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	10439561	0.405242	../../result/log/zipf_1_17	0.01	1
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	10439561	0.405242	../../result/log/zipf_1_17	0.01	1
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	10439561	0.405242	../../result/log/zipf_1_17	0.01	1
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	10439561	0.405242	../../result/log/zipf_1_17	0.01	1
LR_id[cache_size=0.01,treshold=0.5]	7070223	0.407614	../../result/log/zipf_1_17	0.01	1
LR_7_w_0_5[cache_size=0.01,treshold=0.5]	7776044	0.408472	../../result/log/zipf_1_17	0.01	1
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	6870902	0.408634	../../result/log/zipf_1_17	0.01	1
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	6868887	0.408641	../../result/log/zipf_1_17	0.01	1
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	6868291	0.408644	../../result/log/zipf_1_17	0.01	1
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	8034924	0.412109	../../result/log/zipf_1_17	0.01	1
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	5730281	0.412374	../../result/log/zipf_1_17	0.01	1
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	5729504	0.412378	../../result/log/zipf_1_17	0.01	1
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	5728852	0.412381	../../result/log/zipf_1_17	0.01	1
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	7858768	0.412659	../../result/log/zipf_1_17	0.01	1
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	7759105	0.412981	../../result/log/zipf_1_17	0.01	1
LR_7_w_0_75[cache_size=0.01,treshold=0.5]	6103423	0.413404	../../result/log/zipf_1_17	0.01	1
LR_5_imba[cache_size=0.01,treshold=0.5]	6121964	0.413434	../../result/log/zipf_1_17	0.01	1
LR_6_imba[cache_size=0.01,treshold=0.5]	6120209	0.413439	../../result/log/zipf_1_17	0.01	1
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	8240720	0.413818	../../result/log/zipf_1_17	0.01	1
LR_9_id[cache_size=0.01,treshold=0.5]	5354514	0.414549	../../result/log/zipf_1_17	0.01	1
LR_8_id[cache_size=0.01,treshold=0.5]	5351788	0.414586	../../result/log/zipf_1_17	0.01	1
LR_7_id[cache_size=0.01,treshold=0.5]	5354237	0.41459	../../result/log/zipf_1_17	0.01	1
LR_1_log[cache_size=0.01,treshold=0.5]	5326124	0.416748	../../result/log/zipf_1_17	0.01	1
LR_4_log[cache_size=0.01,treshold=0.5]	5204316	0.416969	../../result/log/zipf_1_17	0.01	1
LR_8_decay_rtime[cache_size=0.01,treshold=0.5]	4546871	0.417476	../../result/log/zipf_1_17	0.01	1
LR_9_decay_rtime[cache_size=0.01,treshold=0.5]	4545638	0.417479	../../result/log/zipf_1_17	0.01	1
LR_7_decay_rtime[cache_size=0.01,treshold=0.5]	4545583	0.417482	../../result/log/zipf_1_17	0.01	1
LR_6[cache_size=0.01,treshold=0.5]	4812127	0.418042	../../result/log/zipf_1_17	0.01	1
LR_4[cache_size=0.01,treshold=0.5]	4811920	0.418042	../../result/log/zipf_1_17	0.01	1
LR_4_std_scaler[cache_size=0.01,treshold=0.5]	4811826	0.418043	../../result/log/zipf_1_17	0.01	1
LR_4_robust_scaler[cache_size=0.01,treshold=0.5]	4811417	0.418045	../../result/log/zipf_1_17	0.01	1
LR_5[cache_size=0.01,treshold=0.5]	4811200	0.418045	../../result/log/zipf_1_17	0.01	1
LR_1[cache_size=0.01,treshold=0.5]	4791944	0.418643	../../result/log/zipf_1_17	0.01	1
LR_1_robust_scaler[cache_size=0.01,treshold=0.5]	4791449	0.418643	../../result/log/zipf_1_17	0.01	1
LR_1_std_scaler[cache_size=0.01,treshold=0.5]	4791096	0.418645	../../result/log/zipf_1_17	0.01	1
LR_7[cache_size=0.01,treshold=0.5]	4377646	0.420218	../../result/log/zipf_1_17	0.01	1
LR_3[cache_size=0.01,treshold=0.5]	5676931	0.420227	../../result/log/zipf_1_17	0.01	1
LR_8[cache_size=0.01,treshold=0.5]	4370959	0.420257	../../result/log/zipf_1_17	0.01	1
LR_2[cache_size=0.01,treshold=0.5]	5656274	0.420316	../../result/log/zipf_1_17	0.01	1
LR_9[cache_size=0.01,treshold=0.5]	4351594	0.420333	../../result/log/zipf_1_17	0.01	1
LR_4_mean[cache_size=0.01,treshold=0.5]	4804648	0.420918	../../result/log/zipf_1_17	0.01	1
LR_1_mean[cache_size=0.01,treshold=0.5]	4879405	0.421438	../../result/log/zipf_1_17	0.01	1
LR_3_log[cache_size=0.01,treshold=0.5]	4447019	0.424911	../../result/log/zipf_1_17	0.01	1
LR_3_mean[cache_size=0.01,treshold=0.5]	4468466	0.425016	../../result/log/zipf_1_17	0.01	1
LR_2_log[cache_size=0.01,treshold=0.5]	4383054	0.425199	../../result/log/zipf_1_17	0.01	1
LR_2_mean[cache_size=0.01,treshold=0.5]	4400513	0.425298	../../result/log/zipf_1_17	0.01	1
LR_decay_rtime[cache_size=0.01,treshold=0.5]	3770422	0.427162	../../result/log/zipf_1_17	0.01	1
LR_8_decay_vtime[cache_size=0.01,treshold=0.5]	3796090	0.427953	../../result/log/zipf_1_17	0.01	1
LR_7_decay_vtime[cache_size=0.01,treshold=0.5]	3794990	0.427964	../../result/log/zipf_1_17	0.01	1
LR_9_decay_vtime[cache_size=0.01,treshold=0.5]	3706669	0.428353	../../result/log/zipf_1_17	0.01	1
LR_decay_vtime[cache_size=0.01,treshold=0.5]	2203235	0.435565	../../result/log/zipf_1_17	0.01	1

0.1

Model	Promotion	Miss Ratio	Trace	Cache Size	Ignore Obj Size
Offline Clock 2nd iteration	5851791	0.209897	../../result/log/zipf_1_17	0.1	1
Zipf Optimal Distribution	8925674	0.211925	../../result/log/zipf_1_17	0.1	1
LR_id[cache_size=0.1,treshold=0.5]	6875916	0.213459	../../result/log/zipf_1_17	0.1	1
Offline Clock 1st iteration	10272630	0.213852	../../result/log/zipf_1_17	0.1	1
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	10272630	0.213852	../../result/log/zipf_1_17	0.1	1
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	10272630	0.213852	../../result/log/zipf_1_17	0.1	1
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	10269872	0.213858	../../result/log/zipf_1_17	0.1	1
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	10252779	0.213892	../../result/log/zipf_1_17	0.1	1
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	10179153	0.214034	../../result/log/zipf_1_17	0.1	1
LR_7_w_0_5[cache_size=0.1,treshold=0.5]	7197236	0.21632	../../result/log/zipf_1_17	0.1	1
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	7337822	0.216822	../../result/log/zipf_1_17	0.1	1
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	7339060	0.216824	../../result/log/zipf_1_17	0.1	1
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	7340514	0.21683	../../result/log/zipf_1_17	0.1	1
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	8225622	0.218677	../../result/log/zipf_1_17	0.1	1
LR_6_imba[cache_size=0.1,treshold=0.5]	6320850	0.219254	../../result/log/zipf_1_17	0.1	1
LR_5_imba[cache_size=0.1,treshold=0.5]	6321590	0.219256	../../result/log/zipf_1_17	0.1	1
LR_9_id[cache_size=0.1,treshold=0.5]	5073120	0.219926	../../result/log/zipf_1_17	0.1	1
LR_8_id[cache_size=0.1,treshold=0.5]	5072122	0.219937	../../result/log/zipf_1_17	0.1	1
LR_7_id[cache_size=0.1,treshold=0.5]	5071193	0.219938	../../result/log/zipf_1_17	0.1	1
LR_7_w_0_75[cache_size=0.1,treshold=0.5]	5590667	0.220045	../../result/log/zipf_1_17	0.1	1
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	4940973	0.221476	../../result/log/zipf_1_17	0.1	1
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	4935473	0.221493	../../result/log/zipf_1_17	0.1	1
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	4924490	0.221535	../../result/log/zipf_1_17	0.1	1
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	6734956	0.222037	../../result/log/zipf_1_17	0.1	1
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	6729337	0.222053	../../result/log/zipf_1_17	0.1	1
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	6724569	0.222067	../../result/log/zipf_1_17	0.1	1
LR_4_robust_scaler[cache_size=0.1,treshold=0.5]	4937304	0.222434	../../result/log/zipf_1_17	0.1	1
LR_4[cache_size=0.1,treshold=0.5]	4936889	0.222435	../../result/log/zipf_1_17	0.1	1
LR_4_std_scaler[cache_size=0.1,treshold=0.5]	4936424	0.222435	../../result/log/zipf_1_17	0.1	1
LR_6[cache_size=0.1,treshold=0.5]	4936455	0.222436	../../result/log/zipf_1_17	0.1	1
LR_5[cache_size=0.1,treshold=0.5]	4935178	0.222442	../../result/log/zipf_1_17	0.1	1
LR_1_log[cache_size=0.1,treshold=0.5]	5078486	0.222462	../../result/log/zipf_1_17	0.1	1
LR_4_log[cache_size=0.1,treshold=0.5]	4984175	0.222521	../../result/log/zipf_1_17	0.1	1
LR_1_robust_scaler[cache_size=0.1,treshold=0.5]	5064416	0.222752	../../result/log/zipf_1_17	0.1	1
LR_1[cache_size=0.1,treshold=0.5]	5064076	0.222753	../../result/log/zipf_1_17	0.1	1
LR_1_std_scaler[cache_size=0.1,treshold=0.5]	5064361	0.222756	../../result/log/zipf_1_17	0.1	1
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	5702001	0.223727	../../result/log/zipf_1_17	0.1	1
LR_8[cache_size=0.1,treshold=0.5]	4189369	0.224683	../../result/log/zipf_1_17	0.1	1
LR_7[cache_size=0.1,treshold=0.5]	4187519	0.224686	../../result/log/zipf_1_17	0.1	1
LR_9[cache_size=0.1,treshold=0.5]	4184896	0.224693	../../result/log/zipf_1_17	0.1	1
LR_2[cache_size=0.1,treshold=0.5]	5627300	0.225401	../../result/log/zipf_1_17	0.1	1
LR_3[cache_size=0.1,treshold=0.5]	5626948	0.225403	../../result/log/zipf_1_17	0.1	1
LR_9_decay_rtime[cache_size=0.1,treshold=0.5]	3706288	0.226191	../../result/log/zipf_1_17	0.1	1
LR_8_decay_rtime[cache_size=0.1,treshold=0.5]	3705211	0.226195	../../result/log/zipf_1_17	0.1	1
LR_7_decay_rtime[cache_size=0.1,treshold=0.5]	3704953	0.226195	../../result/log/zipf_1_17	0.1	1
LR_4_mean[cache_size=0.1,treshold=0.5]	4357799	0.228038	../../result/log/zipf_1_17	0.1	1
LR_decay_rtime[cache_size=0.1,treshold=0.5]	3880286	0.228496	../../result/log/zipf_1_17	0.1	1
LR_1_mean[cache_size=0.1,treshold=0.5]	4500610	0.228925	../../result/log/zipf_1_17	0.1	1
LR_3_mean[cache_size=0.1,treshold=0.5]	4458630	0.229088	../../result/log/zipf_1_17	0.1	1
LR_3_log[cache_size=0.1,treshold=0.5]	4448819	0.229099	../../result/log/zipf_1_17	0.1	1
LR_2_mean[cache_size=0.1,treshold=0.5]	4453223	0.229109	../../result/log/zipf_1_17	0.1	1
LR_2_log[cache_size=0.1,treshold=0.5]	4443498	0.22912	../../result/log/zipf_1_17	0.1	1
LR_7_decay_vtime[cache_size=0.1,treshold=0.5]	4111180	0.23034	../../result/log/zipf_1_17	0.1	1
LR_8_decay_vtime[cache_size=0.1,treshold=0.5]	4091778	0.230408	../../result/log/zipf_1_17	0.1	1
LR_9_decay_vtime[cache_size=0.1,treshold=0.5]	4085178	0.230431	../../result/log/zipf_1_17	0.1	1
LR_decay_vtime[cache_size=0.1,treshold=0.5]	420548	0.248225	../../result/log/zipf_1_17	0.1	1

0.2

Model	Promotion	Miss Ratio	Trace	Cache Size	Ignore Obj Size
Offline Clock 2nd iteration	5680729	0.147336	../../result/log/zipf_1_17	0.2	1
Zipf Optimal Distribution	8498188	0.150231	../../result/log/zipf_1_17	0.2	1
LR_id[cache_size=0.2,treshold=0.5]	6597787	0.151025	../../result/log/zipf_1_17	0.2	1
Offline Clock 1st iteration	10002880	0.152785	../../result/log/zipf_1_17	0.2	1
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	10002880	0.152785	../../result/log/zipf_1_17	0.2	1
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	10002880	0.152785	../../result/log/zipf_1_17	0.2	1
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	10002812	0.152785	../../result/log/zipf_1_17	0.2	1
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	10002880	0.152785	../../result/log/zipf_1_17	0.2	1
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	10002880	0.152785	../../result/log/zipf_1_17	0.2	1
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	10002465	0.152786	../../result/log/zipf_1_17	0.2	1
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	9560462	0.153499	../../result/log/zipf_1_17	0.2	1
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	9548445	0.153521	../../result/log/zipf_1_17	0.2	1
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	9541670	0.153532	../../result/log/zipf_1_17	0.2	1
LR_7_w_0_5[cache_size=0.2,treshold=0.5]	7082153	0.154271	../../result/log/zipf_1_17	0.2	1
LR_6_imba[cache_size=0.2,treshold=0.5]	6439648	0.156516	../../result/log/zipf_1_17	0.2	1
LR_5_imba[cache_size=0.2,treshold=0.5]	6442597	0.156522	../../result/log/zipf_1_17	0.2	1
LR_7_id[cache_size=0.2,treshold=0.5]	4850036	0.156839	../../result/log/zipf_1_17	0.2	1
LR_9_id[cache_size=0.2,treshold=0.5]	4849328	0.15684	../../result/log/zipf_1_17	0.2	1
LR_8_id[cache_size=0.2,treshold=0.5]	4849177	0.156844	../../result/log/zipf_1_17	0.2	1
LR_7_w_0_75[cache_size=0.2,treshold=0.5]	5473917	0.157115	../../result/log/zipf_1_17	0.2	1
LR_4[cache_size=0.2,treshold=0.5]	5043445	0.15918	../../result/log/zipf_1_17	0.2	1
LR_6[cache_size=0.2,treshold=0.5]	5043568	0.15918	../../result/log/zipf_1_17	0.2	1
LR_4_robust_scaler[cache_size=0.2,treshold=0.5]	5043552	0.15918	../../result/log/zipf_1_17	0.2	1
LR_4_std_scaler[cache_size=0.2,treshold=0.5]	5045029	0.159181	../../result/log/zipf_1_17	0.2	1
LR_5[cache_size=0.2,treshold=0.5]	5044629	0.159186	../../result/log/zipf_1_17	0.2	1
LR_1[cache_size=0.2,treshold=0.5]	5110894	0.159424	../../result/log/zipf_1_17	0.2	1
LR_1_robust_scaler[cache_size=0.2,treshold=0.5]	5110178	0.159425	../../result/log/zipf_1_17	0.2	1
LR_1_std_scaler[cache_size=0.2,treshold=0.5]	5112034	0.15943	../../result/log/zipf_1_17	0.2	1
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	5213195	0.159614	../../result/log/zipf_1_17	0.2	1
LR_4_log[cache_size=0.2,treshold=0.5]	4768845	0.15965	../../result/log/zipf_1_17	0.2	1
LR_1_log[cache_size=0.2,treshold=0.5]	4839276	0.159654	../../result/log/zipf_1_17	0.2	1
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	6415091	0.159667	../../result/log/zipf_1_17	0.2	1
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	6412682	0.159673	../../result/log/zipf_1_17	0.2	1
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	6409686	0.159682	../../result/log/zipf_1_17	0.2	1
LR_8[cache_size=0.2,treshold=0.5]	4064674	0.16096	../../result/log/zipf_1_17	0.2	1
LR_7[cache_size=0.2,treshold=0.5]	4063819	0.16096	../../result/log/zipf_1_17	0.2	1
LR_9[cache_size=0.2,treshold=0.5]	4061748	0.160965	../../result/log/zipf_1_17	0.2	1
LR_2[cache_size=0.2,treshold=0.5]	5494086	0.162168	../../result/log/zipf_1_17	0.2	1
LR_3[cache_size=0.2,treshold=0.5]	5493563	0.16217	../../result/log/zipf_1_17	0.2	1
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	5012482	0.162593	../../result/log/zipf_1_17	0.2	1
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	4634753	0.163329	../../result/log/zipf_1_17	0.2	1
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	4629811	0.163337	../../result/log/zipf_1_17	0.2	1
LR_4_mean[cache_size=0.2,treshold=0.5]	4280993	0.164174	../../result/log/zipf_1_17	0.2	1
LR_3_log[cache_size=0.2,treshold=0.5]	4396336	0.165063	../../result/log/zipf_1_17	0.2	1
LR_2_log[cache_size=0.2,treshold=0.5]	4394265	0.165069	../../result/log/zipf_1_17	0.2	1
LR_1_mean[cache_size=0.2,treshold=0.5]	4388764	0.165092	../../result/log/zipf_1_17	0.2	1
LR_3_mean[cache_size=0.2,treshold=0.5]	4386630	0.1651	../../result/log/zipf_1_17	0.2	1
LR_2_mean[cache_size=0.2,treshold=0.5]	4384454	0.165107	../../result/log/zipf_1_17	0.2	1
LR_8_decay_vtime[cache_size=0.2,treshold=0.5]	4021861	0.166254	../../result/log/zipf_1_17	0.2	1
LR_7_decay_vtime[cache_size=0.2,treshold=0.5]	4021063	0.166257	../../result/log/zipf_1_17	0.2	1
LR_9_decay_vtime[cache_size=0.2,treshold=0.5]	4020453	0.166258	../../result/log/zipf_1_17	0.2	1
LR_decay_rtime[cache_size=0.2,treshold=0.5]	3449515	0.167086	../../result/log/zipf_1_17	0.2	1
LR_9_decay_rtime[cache_size=0.2,treshold=0.5]	3317870	0.167243	../../result/log/zipf_1_17	0.2	1
LR_7_decay_rtime[cache_size=0.2,treshold=0.5]	3315498	0.167247	../../result/log/zipf_1_17	0.2	1
LR_8_decay_rtime[cache_size=0.2,treshold=0.5]	3313407	0.16725	../../result/log/zipf_1_17	0.2	1
LR_decay_vtime[cache_size=0.2,treshold=0.5]	216929	0.183643	../../result/log/zipf_1_17	0.2	1

0.4

Model	Promotion	Miss Ratio	Trace	Cache Size	Ignore Obj Size
Offline Clock 2nd iteration	5224778	0.0827112	../../result/log/zipf_1_17	0.4	1
Zipf Optimal Distribution	7661751	0.0867151	../../result/log/zipf_1_17	0.4	1
LR_id[cache_size=0.4,treshold=0.5]	5756290	0.0867603	../../result/log/zipf_1_17	0.4	1
Offline Clock 1st iteration	9240697	0.0897079	../../result/log/zipf_1_17	0.4	1
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	9240697	0.0897079	../../result/log/zipf_1_17	0.4	1
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	9240697	0.0897079	../../result/log/zipf_1_17	0.4	1
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	9240697	0.0897079	../../result/log/zipf_1_17	0.4	1
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	9240697	0.0897079	../../result/log/zipf_1_17	0.4	1
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	8882245	0.0900872	../../result/log/zipf_1_17	0.4	1
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	8881989	0.0900875	../../result/log/zipf_1_17	0.4	1
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	8880142	0.0900897	../../result/log/zipf_1_17	0.4	1
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	8878006	0.0900926	../../result/log/zipf_1_17	0.4	1
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	8878006	0.0900926	../../result/log/zipf_1_17	0.4	1
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	8876235	0.0900952	../../result/log/zipf_1_17	0.4	1
LR_7_w_0_5[cache_size=0.4,treshold=0.5]	7043324	0.0903498	../../result/log/zipf_1_17	0.4	1
LR_9_id[cache_size=0.4,treshold=0.5]	4272222	0.0913094	../../result/log/zipf_1_17	0.4	1
LR_8_id[cache_size=0.4,treshold=0.5]	4272323	0.0913111	../../result/log/zipf_1_17	0.4	1
LR_7_id[cache_size=0.4,treshold=0.5]	4270775	0.0913166	../../result/log/zipf_1_17	0.4	1
LR_6_imba[cache_size=0.4,treshold=0.5]	6412775	0.0914131	../../result/log/zipf_1_17	0.4	1
LR_5_imba[cache_size=0.4,treshold=0.5]	6430525	0.0914194	../../result/log/zipf_1_17	0.4	1
LR_7_w_0_75[cache_size=0.4,treshold=0.5]	5455846	0.0916217	../../result/log/zipf_1_17	0.4	1
LR_6[cache_size=0.4,treshold=0.5]	4834278	0.0934988	../../result/log/zipf_1_17	0.4	1
LR_4_robust_scaler[cache_size=0.4,treshold=0.5]	4834399	0.0935002	../../result/log/zipf_1_17	0.4	1
LR_4_std_scaler[cache_size=0.4,treshold=0.5]	4837302	0.0935106	../../result/log/zipf_1_17	0.4	1
LR_5[cache_size=0.4,treshold=0.5]	4835836	0.0935126	../../result/log/zipf_1_17	0.4	1
LR_1_robust_scaler[cache_size=0.4,treshold=0.5]	4837890	0.0935557	../../result/log/zipf_1_17	0.4	1
LR_1[cache_size=0.4,treshold=0.5]	4837777	0.0935559	../../result/log/zipf_1_17	0.4	1
LR_1_std_scaler[cache_size=0.4,treshold=0.5]	4839350	0.0935716	../../result/log/zipf_1_17	0.4	1
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	6213882	0.0935793	../../result/log/zipf_1_17	0.4	1
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	6212381	0.093582	../../result/log/zipf_1_17	0.4	1
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	6212263	0.0935824	../../result/log/zipf_1_17	0.4	1
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	6211569	0.0935837	../../result/log/zipf_1_17	0.4	1
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	6210982	0.0935847	../../result/log/zipf_1_17	0.4	1
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	6210939	0.0935849	../../result/log/zipf_1_17	0.4	1
LR_4[cache_size=0.4,treshold=0.5]	4710629	0.0937527	../../result/log/zipf_1_17	0.4	1
LR_4_log[cache_size=0.4,treshold=0.5]	4271955	0.0940838	../../result/log/zipf_1_17	0.4	1
LR_1_log[cache_size=0.4,treshold=0.5]	4291706	0.0940995	../../result/log/zipf_1_17	0.4	1
LR_9[cache_size=0.4,treshold=0.5]	3740101	0.0943324	../../result/log/zipf_1_17	0.4	1
LR_7[cache_size=0.4,treshold=0.5]	3740335	0.0943325	../../result/log/zipf_1_17	0.4	1
LR_8[cache_size=0.4,treshold=0.5]	3740741	0.0943328	../../result/log/zipf_1_17	0.4	1
LR_3[cache_size=0.4,treshold=0.5]	5042490	0.0956787	../../result/log/zipf_1_17	0.4	1
LR_2[cache_size=0.4,treshold=0.5]	4369801	0.0969888	../../result/log/zipf_1_17	0.4	1
LR_4_mean[cache_size=0.4,treshold=0.5]	3955480	0.0970318	../../result/log/zipf_1_17	0.4	1
LR_2_log[cache_size=0.4,treshold=0.5]	4104826	0.0973389	../../result/log/zipf_1_17	0.4	1
LR_3_log[cache_size=0.4,treshold=0.5]	4104559	0.097339	../../result/log/zipf_1_17	0.4	1
LR_1_mean[cache_size=0.4,treshold=0.5]	4052584	0.0977353	../../result/log/zipf_1_17	0.4	1
LR_3_mean[cache_size=0.4,treshold=0.5]	4053282	0.0977362	../../result/log/zipf_1_17	0.4	1
LR_2_mean[cache_size=0.4,treshold=0.5]	4052661	0.0977374	../../result/log/zipf_1_17	0.4	1
LR_8_decay_vtime[cache_size=0.4,treshold=0.5]	3767780	0.0983931	../../result/log/zipf_1_17	0.4	1
LR_9_decay_vtime[cache_size=0.4,treshold=0.5]	3766359	0.0983955	../../result/log/zipf_1_17	0.4	1
LR_7_decay_vtime[cache_size=0.4,treshold=0.5]	3765984	0.098396	../../result/log/zipf_1_17	0.4	1
LR_8_decay_rtime[cache_size=0.4,treshold=0.5]	3730537	0.0984798	../../result/log/zipf_1_17	0.4	1
LR_7_decay_rtime[cache_size=0.4,treshold=0.5]	3729960	0.0984815	../../result/log/zipf_1_17	0.4	1
LR_9_decay_rtime[cache_size=0.4,treshold=0.5]	3729374	0.0984827	../../result/log/zipf_1_17	0.4	1
LR_decay_rtime[cache_size=0.4,treshold=0.5]	2083598	0.103091	../../result/log/zipf_1_17	0.4	1
LR_decay_vtime[cache_size=0.4,treshold=0.5]	87284	0.113031	../../result/log/zipf_1_17	0.4	1

zipf_1_18

Ignore Obj Size

0.01

Model	Promotion	Miss Ratio	Trace	Cache Size	Ignore Obj Size
Offline Clock 2nd iteration	6046061	0.40372	../../result/log/zipf_1_18	0.01	1
Zipf Optimal Distribution	9518058	0.404413	../../result/log/zipf_1_18	0.01	1
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	10439616	0.4052	../../result/log/zipf_1_18	0.01	1
Offline Clock 1st iteration	10439737	0.4052	../../result/log/zipf_1_18	0.01	1
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	10439737	0.4052	../../result/log/zipf_1_18	0.01	1
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	10439737	0.4052	../../result/log/zipf_1_18	0.01	1
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	10439737	0.4052	../../result/log/zipf_1_18	0.01	1
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	10439737	0.4052	../../result/log/zipf_1_18	0.01	1
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	10439737	0.4052	../../result/log/zipf_1_18	0.01	1
LR_id[cache_size=0.01,treshold=0.5]	7072489	0.407542	../../result/log/zipf_1_18	0.01	1
LR_7_w_0_5[cache_size=0.01,treshold=0.5]	7776828	0.408416	../../result/log/zipf_1_18	0.01	1
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	6872222	0.408567	../../result/log/zipf_1_18	0.01	1
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	6870251	0.408573	../../result/log/zipf_1_18	0.01	1
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	6869797	0.408576	../../result/log/zipf_1_18	0.01	1
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	8036225	0.412065	../../result/log/zipf_1_18	0.01	1
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	5727110	0.412326	../../result/log/zipf_1_18	0.01	1
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	5726248	0.41233	../../result/log/zipf_1_18	0.01	1
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	5725344	0.412333	../../result/log/zipf_1_18	0.01	1
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	7859222	0.412622	../../result/log/zipf_1_18	0.01	1
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	7760967	0.412938	../../result/log/zipf_1_18	0.01	1
LR_7_w_0_75[cache_size=0.01,treshold=0.5]	6102786	0.413364	../../result/log/zipf_1_18	0.01	1
LR_5_imba[cache_size=0.01,treshold=0.5]	6121447	0.413391	../../result/log/zipf_1_18	0.01	1
LR_6_imba[cache_size=0.01,treshold=0.5]	6119422	0.413397	../../result/log/zipf_1_18	0.01	1
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	8243229	0.413757	../../result/log/zipf_1_18	0.01	1
LR_9_id[cache_size=0.01,treshold=0.5]	5352735	0.414494	../../result/log/zipf_1_18	0.01	1
LR_8_id[cache_size=0.01,treshold=0.5]	5350047	0.414532	../../result/log/zipf_1_18	0.01	1
LR_7_id[cache_size=0.01,treshold=0.5]	5352543	0.414534	../../result/log/zipf_1_18	0.01	1
LR_1_log[cache_size=0.01,treshold=0.5]	5325729	0.416696	../../result/log/zipf_1_18	0.01	1
LR_4_log[cache_size=0.01,treshold=0.5]	5204132	0.41692	../../result/log/zipf_1_18	0.01	1
LR_8_decay_rtime[cache_size=0.01,treshold=0.5]	4544111	0.417436	../../result/log/zipf_1_18	0.01	1
LR_9_decay_rtime[cache_size=0.01,treshold=0.5]	4542688	0.417442	../../result/log/zipf_1_18	0.01	1
LR_7_decay_rtime[cache_size=0.01,treshold=0.5]	4542541	0.417445	../../result/log/zipf_1_18	0.01	1
LR_4_std_scaler[cache_size=0.01,treshold=0.5]	4812012	0.417987	../../result/log/zipf_1_18	0.01	1
LR_4[cache_size=0.01,treshold=0.5]	4812110	0.417987	../../result/log/zipf_1_18	0.01	1
LR_6[cache_size=0.01,treshold=0.5]	4812024	0.417987	../../result/log/zipf_1_18	0.01	1
LR_4_robust_scaler[cache_size=0.01,treshold=0.5]	4811563	0.417989	../../result/log/zipf_1_18	0.01	1
LR_5[cache_size=0.01,treshold=0.5]	4811033	0.417992	../../result/log/zipf_1_18	0.01	1
LR_1[cache_size=0.01,treshold=0.5]	4792015	0.418586	../../result/log/zipf_1_18	0.01	1
LR_1_robust_scaler[cache_size=0.01,treshold=0.5]	4791378	0.418587	../../result/log/zipf_1_18	0.01	1
LR_1_std_scaler[cache_size=0.01,treshold=0.5]	4791088	0.418589	../../result/log/zipf_1_18	0.01	1
LR_7[cache_size=0.01,treshold=0.5]	4377907	0.420158	../../result/log/zipf_1_18	0.01	1
LR_3[cache_size=0.01,treshold=0.5]	5678001	0.420172	../../result/log/zipf_1_18	0.01	1
LR_8[cache_size=0.01,treshold=0.5]	4371182	0.420198	../../result/log/zipf_1_18	0.01	1
LR_2[cache_size=0.01,treshold=0.5]	5658222	0.420254	../../result/log/zipf_1_18	0.01	1
LR_9[cache_size=0.01,treshold=0.5]	4351494	0.420276	../../result/log/zipf_1_18	0.01	1
LR_4_mean[cache_size=0.01,treshold=0.5]	4765275	0.42103	../../result/log/zipf_1_18	0.01	1
LR_1_mean[cache_size=0.01,treshold=0.5]	4830692	0.421592	../../result/log/zipf_1_18	0.01	1
LR_3_log[cache_size=0.01,treshold=0.5]	4447291	0.424851	../../result/log/zipf_1_18	0.01	1
LR_3_mean[cache_size=0.01,treshold=0.5]	4467820	0.424956	../../result/log/zipf_1_18	0.01	1
LR_2_log[cache_size=0.01,treshold=0.5]	4383367	0.425136	../../result/log/zipf_1_18	0.01	1
LR_2_mean[cache_size=0.01,treshold=0.5]	4398855	0.425244	../../result/log/zipf_1_18	0.01	1
LR_decay_rtime[cache_size=0.01,treshold=0.5]	3768750	0.427127	../../result/log/zipf_1_18	0.01	1
LR_8_decay_vtime[cache_size=0.01,treshold=0.5]	3794691	0.427902	../../result/log/zipf_1_18	0.01	1
LR_7_decay_vtime[cache_size=0.01,treshold=0.5]	3794220	0.427904	../../result/log/zipf_1_18	0.01	1
LR_9_decay_vtime[cache_size=0.01,treshold=0.5]	3706346	0.428292	../../result/log/zipf_1_18	0.01	1
LR_decay_vtime[cache_size=0.01,treshold=0.5]	2200039	0.435536	../../result/log/zipf_1_18	0.01	1

0.1

Model	Promotion	Miss Ratio	Trace	Cache Size	Ignore Obj Size
Offline Clock 2nd iteration	5852167	0.209865	../../result/log/zipf_1_18	0.1	1
Zipf Optimal Distribution	8924501	0.211883	../../result/log/zipf_1_18	0.1	1
LR_id[cache_size=0.1,treshold=0.5]	6878956	0.213398	../../result/log/zipf_1_18	0.1	1
Offline Clock 1st iteration	10268394	0.213821	../../result/log/zipf_1_18	0.1	1
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	10268394	0.213821	../../result/log/zipf_1_18	0.1	1
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	10268394	0.213821	../../result/log/zipf_1_18	0.1	1
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	10265503	0.213827	../../result/log/zipf_1_18	0.1	1
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	10246600	0.213863	../../result/log/zipf_1_18	0.1	1
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	10173266	0.214004	../../result/log/zipf_1_18	0.1	1
LR_7_w_0_5[cache_size=0.1,treshold=0.5]	7197960	0.216277	../../result/log/zipf_1_18	0.1	1
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	7339829	0.216762	../../result/log/zipf_1_18	0.1	1
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	7341125	0.216763	../../result/log/zipf_1_18	0.1	1
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	7342591	0.216769	../../result/log/zipf_1_18	0.1	1
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	8222957	0.218635	../../result/log/zipf_1_18	0.1	1
LR_6_imba[cache_size=0.1,treshold=0.5]	6323902	0.219197	../../result/log/zipf_1_18	0.1	1
LR_5_imba[cache_size=0.1,treshold=0.5]	6324589	0.219199	../../result/log/zipf_1_18	0.1	1
LR_9_id[cache_size=0.1,treshold=0.5]	5078846	0.219871	../../result/log/zipf_1_18	0.1	1
LR_8_id[cache_size=0.1,treshold=0.5]	5078375	0.219879	../../result/log/zipf_1_18	0.1	1
LR_7_id[cache_size=0.1,treshold=0.5]	5077209	0.219881	../../result/log/zipf_1_18	0.1	1
LR_7_w_0_75[cache_size=0.1,treshold=0.5]	5592708	0.22	../../result/log/zipf_1_18	0.1	1
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	4945810	0.221416	../../result/log/zipf_1_18	0.1	1
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	4940444	0.221432	../../result/log/zipf_1_18	0.1	1
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	4928355	0.221478	../../result/log/zipf_1_18	0.1	1
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	6736293	0.221977	../../result/log/zipf_1_18	0.1	1
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	6730462	0.221994	../../result/log/zipf_1_18	0.1	1
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	6725943	0.222006	../../result/log/zipf_1_18	0.1	1
LR_4_robust_scaler[cache_size=0.1,treshold=0.5]	4942938	0.222374	../../result/log/zipf_1_18	0.1	1
LR_4_std_scaler[cache_size=0.1,treshold=0.5]	4942266	0.222374	../../result/log/zipf_1_18	0.1	1
LR_4[cache_size=0.1,treshold=0.5]	4942427	0.222376	../../result/log/zipf_1_18	0.1	1
LR_6[cache_size=0.1,treshold=0.5]	4942139	0.222376	../../result/log/zipf_1_18	0.1	1
LR_5[cache_size=0.1,treshold=0.5]	4940892	0.222382	../../result/log/zipf_1_18	0.1	1
LR_1_log[cache_size=0.1,treshold=0.5]	5082303	0.222415	../../result/log/zipf_1_18	0.1	1
LR_4_log[cache_size=0.1,treshold=0.5]	4988987	0.222465	../../result/log/zipf_1_18	0.1	1
LR_1_robust_scaler[cache_size=0.1,treshold=0.5]	5068905	0.222693	../../result/log/zipf_1_18	0.1	1
LR_1[cache_size=0.1,treshold=0.5]	5068447	0.222694	../../result/log/zipf_1_18	0.1	1
LR_1_std_scaler[cache_size=0.1,treshold=0.5]	5068865	0.222696	../../result/log/zipf_1_18	0.1	1
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	5703945	0.223677	../../result/log/zipf_1_18	0.1	1
LR_8[cache_size=0.1,treshold=0.5]	4191256	0.224647	../../result/log/zipf_1_18	0.1	1
LR_7[cache_size=0.1,treshold=0.5]	4189562	0.22465	../../result/log/zipf_1_18	0.1	1
LR_9[cache_size=0.1,treshold=0.5]	4186886	0.224658	../../result/log/zipf_1_18	0.1	1
LR_3[cache_size=0.1,treshold=0.5]	5627269	0.225357	../../result/log/zipf_1_18	0.1	1
LR_2[cache_size=0.1,treshold=0.5]	5627475	0.225357	../../result/log/zipf_1_18	0.1	1
LR_9_decay_rtime[cache_size=0.1,treshold=0.5]	3707404	0.22616	../../result/log/zipf_1_18	0.1	1
LR_8_decay_rtime[cache_size=0.1,treshold=0.5]	3706614	0.226162	../../result/log/zipf_1_18	0.1	1
LR_7_decay_rtime[cache_size=0.1,treshold=0.5]	3706165	0.226163	../../result/log/zipf_1_18	0.1	1
LR_4_mean[cache_size=0.1,treshold=0.5]	4361666	0.227982	../../result/log/zipf_1_18	0.1	1
LR_decay_rtime[cache_size=0.1,treshold=0.5]	3881983	0.228452	../../result/log/zipf_1_18	0.1	1
LR_1_mean[cache_size=0.1,treshold=0.5]	4494061	0.228911	../../result/log/zipf_1_18	0.1	1
LR_3_mean[cache_size=0.1,treshold=0.5]	4458450	0.229048	../../result/log/zipf_1_18	0.1	1
LR_3_log[cache_size=0.1,treshold=0.5]	4449721	0.229052	../../result/log/zipf_1_18	0.1	1
LR_2_mean[cache_size=0.1,treshold=0.5]	4453262	0.229067	../../result/log/zipf_1_18	0.1	1
LR_2_log[cache_size=0.1,treshold=0.5]	4444231	0.229071	../../result/log/zipf_1_18	0.1	1
LR_7_decay_vtime[cache_size=0.1,treshold=0.5]	4111719	0.230295	../../result/log/zipf_1_18	0.1	1
LR_8_decay_vtime[cache_size=0.1,treshold=0.5]	4091554	0.230369	../../result/log/zipf_1_18	0.1	1
LR_9_decay_vtime[cache_size=0.1,treshold=0.5]	4084804	0.230396	../../result/log/zipf_1_18	0.1	1
LR_decay_vtime[cache_size=0.1,treshold=0.5]	420590	0.248191	../../result/log/zipf_1_18	0.1	1

0.2

Model	Promotion	Miss Ratio	Trace	Cache Size	Ignore Obj Size
Offline Clock 2nd iteration	5677502	0.147262	../../result/log/zipf_1_18	0.2	1
Zipf Optimal Distribution	8501025	0.150135	../../result/log/zipf_1_18	0.2	1
LR_id[cache_size=0.2,treshold=0.5]	6597496	0.150948	../../result/log/zipf_1_18	0.2	1
Offline Clock 1st iteration	10001082	0.152706	../../result/log/zipf_1_18	0.2	1
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	10001082	0.152706	../../result/log/zipf_1_18	0.2	1
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	10001082	0.152706	../../result/log/zipf_1_18	0.2	1
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	10001014	0.152706	../../result/log/zipf_1_18	0.2	1
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	10001082	0.152706	../../result/log/zipf_1_18	0.2	1
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	10001082	0.152706	../../result/log/zipf_1_18	0.2	1
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	10000689	0.152707	../../result/log/zipf_1_18	0.2	1
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	9557960	0.153421	../../result/log/zipf_1_18	0.2	1
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	9546034	0.153441	../../result/log/zipf_1_18	0.2	1
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	9539359	0.153452	../../result/log/zipf_1_18	0.2	1
LR_7_w_0_5[cache_size=0.2,treshold=0.5]	7083041	0.154183	../../result/log/zipf_1_18	0.2	1
LR_6_imba[cache_size=0.2,treshold=0.5]	6437928	0.15645	../../result/log/zipf_1_18	0.2	1
LR_5_imba[cache_size=0.2,treshold=0.5]	6440446	0.156456	../../result/log/zipf_1_18	0.2	1
LR_7_id[cache_size=0.2,treshold=0.5]	4848241	0.156769	../../result/log/zipf_1_18	0.2	1
LR_9_id[cache_size=0.2,treshold=0.5]	4847388	0.15677	../../result/log/zipf_1_18	0.2	1
LR_8_id[cache_size=0.2,treshold=0.5]	4847207	0.156774	../../result/log/zipf_1_18	0.2	1
LR_7_w_0_75[cache_size=0.2,treshold=0.5]	5473386	0.157045	../../result/log/zipf_1_18	0.2	1
LR_4_robust_scaler[cache_size=0.2,treshold=0.5]	5042455	0.159108	../../result/log/zipf_1_18	0.2	1
LR_6[cache_size=0.2,treshold=0.5]	5042446	0.159108	../../result/log/zipf_1_18	0.2	1
LR_4[cache_size=0.2,treshold=0.5]	5042467	0.159109	../../result/log/zipf_1_18	0.2	1
LR_4_std_scaler[cache_size=0.2,treshold=0.5]	5043716	0.15911	../../result/log/zipf_1_18	0.2	1
LR_5[cache_size=0.2,treshold=0.5]	5043426	0.159114	../../result/log/zipf_1_18	0.2	1
LR_1_robust_scaler[cache_size=0.2,treshold=0.5]	5109248	0.159353	../../result/log/zipf_1_18	0.2	1
LR_1[cache_size=0.2,treshold=0.5]	5109890	0.159353	../../result/log/zipf_1_18	0.2	1
LR_1_std_scaler[cache_size=0.2,treshold=0.5]	5110975	0.159358	../../result/log/zipf_1_18	0.2	1
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	5209868	0.159533	../../result/log/zipf_1_18	0.2	1
LR_4_log[cache_size=0.2,treshold=0.5]	4768495	0.159568	../../result/log/zipf_1_18	0.2	1
LR_1_log[cache_size=0.2,treshold=0.5]	4836539	0.159592	../../result/log/zipf_1_18	0.2	1
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	6416264	0.159598	../../result/log/zipf_1_18	0.2	1
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	6414024	0.159604	../../result/log/zipf_1_18	0.2	1
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	6410976	0.159612	../../result/log/zipf_1_18	0.2	1
LR_8[cache_size=0.2,treshold=0.5]	4064793	0.160884	../../result/log/zipf_1_18	0.2	1
LR_7[cache_size=0.2,treshold=0.5]	4064000	0.160885	../../result/log/zipf_1_18	0.2	1
LR_9[cache_size=0.2,treshold=0.5]	4061832	0.160891	../../result/log/zipf_1_18	0.2	1
LR_2[cache_size=0.2,treshold=0.5]	5494953	0.1621	../../result/log/zipf_1_18	0.2	1
LR_3[cache_size=0.2,treshold=0.5]	5494460	0.162101	../../result/log/zipf_1_18	0.2	1
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	5012318	0.162518	../../result/log/zipf_1_18	0.2	1
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	4633926	0.163246	../../result/log/zipf_1_18	0.2	1
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	4628946	0.163257	../../result/log/zipf_1_18	0.2	1
LR_4_mean[cache_size=0.2,treshold=0.5]	4280860	0.164073	../../result/log/zipf_1_18	0.2	1
LR_3_log[cache_size=0.2,treshold=0.5]	4396719	0.164977	../../result/log/zipf_1_18	0.2	1
LR_2_log[cache_size=0.2,treshold=0.5]	4394588	0.164984	../../result/log/zipf_1_18	0.2	1
LR_1_mean[cache_size=0.2,treshold=0.5]	4388454	0.165013	../../result/log/zipf_1_18	0.2	1
LR_3_mean[cache_size=0.2,treshold=0.5]	4386420	0.16502	../../result/log/zipf_1_18	0.2	1
LR_2_mean[cache_size=0.2,treshold=0.5]	4384161	0.165027	../../result/log/zipf_1_18	0.2	1
LR_8_decay_vtime[cache_size=0.2,treshold=0.5]	4021792	0.166162	../../result/log/zipf_1_18	0.2	1
LR_7_decay_vtime[cache_size=0.2,treshold=0.5]	4021129	0.166164	../../result/log/zipf_1_18	0.2	1
LR_9_decay_vtime[cache_size=0.2,treshold=0.5]	4020404	0.166167	../../result/log/zipf_1_18	0.2	1
LR_decay_rtime[cache_size=0.2,treshold=0.5]	3447337	0.167023	../../result/log/zipf_1_18	0.2	1
LR_9_decay_rtime[cache_size=0.2,treshold=0.5]	3315878	0.167176	../../result/log/zipf_1_18	0.2	1
LR_7_decay_rtime[cache_size=0.2,treshold=0.5]	3313663	0.16718	../../result/log/zipf_1_18	0.2	1
LR_8_decay_rtime[cache_size=0.2,treshold=0.5]	3311610	0.16718	../../result/log/zipf_1_18	0.2	1
LR_decay_vtime[cache_size=0.2,treshold=0.5]	216802	0.183554	../../result/log/zipf_1_18	0.2	1

0.4

Model	Promotion	Miss Ratio	Trace	Cache Size	Ignore Obj Size
Offline Clock 2nd iteration	5223361	0.0826611	../../result/log/zipf_1_18	0.4	1
Zipf Optimal Distribution	7661309	0.0866641	../../result/log/zipf_1_18	0.4	1
LR_id[cache_size=0.4,treshold=0.5]	5748724	0.0867235	../../result/log/zipf_1_18	0.4	1
Offline Clock 1st iteration	9239322	0.0896548	../../result/log/zipf_1_18	0.4	1
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	9239322	0.0896548	../../result/log/zipf_1_18	0.4	1
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	9239322	0.0896548	../../result/log/zipf_1_18	0.4	1
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	9239322	0.0896548	../../result/log/zipf_1_18	0.4	1
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	9239322	0.0896548	../../result/log/zipf_1_18	0.4	1
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	8876034	0.0900369	../../result/log/zipf_1_18	0.4	1
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	8875782	0.0900375	../../result/log/zipf_1_18	0.4	1
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	8873976	0.0900393	../../result/log/zipf_1_18	0.4	1
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	8871898	0.0900416	../../result/log/zipf_1_18	0.4	1
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	8871898	0.0900416	../../result/log/zipf_1_18	0.4	1
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	8870323	0.0900431	../../result/log/zipf_1_18	0.4	1
LR_7_w_0_5[cache_size=0.4,treshold=0.5]	7038189	0.0902871	../../result/log/zipf_1_18	0.4	1
LR_9_id[cache_size=0.4,treshold=0.5]	4269384	0.0912721	../../result/log/zipf_1_18	0.4	1
LR_8_id[cache_size=0.4,treshold=0.5]	4269493	0.0912738	../../result/log/zipf_1_18	0.4	1
LR_7_id[cache_size=0.4,treshold=0.5]	4267964	0.0912791	../../result/log/zipf_1_18	0.4	1
LR_6_imba[cache_size=0.4,treshold=0.5]	6404394	0.091365	../../result/log/zipf_1_18	0.4	1
LR_5_imba[cache_size=0.4,treshold=0.5]	6422428	0.0913682	../../result/log/zipf_1_18	0.4	1
LR_7_w_0_75[cache_size=0.4,treshold=0.5]	5452298	0.0915761	../../result/log/zipf_1_18	0.4	1
LR_6[cache_size=0.4,treshold=0.5]	4830011	0.0934535	../../result/log/zipf_1_18	0.4	1
LR_4_robust_scaler[cache_size=0.4,treshold=0.5]	4830065	0.0934552	../../result/log/zipf_1_18	0.4	1
LR_4_std_scaler[cache_size=0.4,treshold=0.5]	4832872	0.0934656	../../result/log/zipf_1_18	0.4	1
LR_5[cache_size=0.4,treshold=0.5]	4831600	0.093467	../../result/log/zipf_1_18	0.4	1
LR_1[cache_size=0.4,treshold=0.5]	4834107	0.0935084	../../result/log/zipf_1_18	0.4	1
LR_1_robust_scaler[cache_size=0.4,treshold=0.5]	4834074	0.0935088	../../result/log/zipf_1_18	0.4	1
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	6207283	0.0935239	../../result/log/zipf_1_18	0.4	1
LR_1_std_scaler[cache_size=0.4,treshold=0.5]	4835691	0.0935256	../../result/log/zipf_1_18	0.4	1
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	6205736	0.0935259	../../result/log/zipf_1_18	0.4	1
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	6205631	0.093526	../../result/log/zipf_1_18	0.4	1
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	6205050	0.0935274	../../result/log/zipf_1_18	0.4	1
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	6204563	0.0935274	../../result/log/zipf_1_18	0.4	1
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	6204516	0.0935275	../../result/log/zipf_1_18	0.4	1
LR_4[cache_size=0.4,treshold=0.5]	4706894	0.0937145	../../result/log/zipf_1_18	0.4	1
LR_4_log[cache_size=0.4,treshold=0.5]	4266607	0.0940357	../../result/log/zipf_1_18	0.4	1
LR_1_log[cache_size=0.4,treshold=0.5]	4287004	0.094049	../../result/log/zipf_1_18	0.4	1
LR_8[cache_size=0.4,treshold=0.5]	3738067	0.0942871	../../result/log/zipf_1_18	0.4	1
LR_7[cache_size=0.4,treshold=0.5]	3737695	0.0942873	../../result/log/zipf_1_18	0.4	1
LR_9[cache_size=0.4,treshold=0.5]	3737406	0.0942873	../../result/log/zipf_1_18	0.4	1
LR_3[cache_size=0.4,treshold=0.5]	5039207	0.0956179	../../result/log/zipf_1_18	0.4	1
LR_2[cache_size=0.4,treshold=0.5]	4366182	0.0969259	../../result/log/zipf_1_18	0.4	1
LR_4_mean[cache_size=0.4,treshold=0.5]	3951035	0.0969853	../../result/log/zipf_1_18	0.4	1
LR_2_log[cache_size=0.4,treshold=0.5]	4104174	0.09727	../../result/log/zipf_1_18	0.4	1
LR_3_log[cache_size=0.4,treshold=0.5]	4103955	0.0972711	../../result/log/zipf_1_18	0.4	1
LR_1_mean[cache_size=0.4,treshold=0.5]	4048907	0.0976725	../../result/log/zipf_1_18	0.4	1
LR_3_mean[cache_size=0.4,treshold=0.5]	4049177	0.0976736	../../result/log/zipf_1_18	0.4	1
LR_2_mean[cache_size=0.4,treshold=0.5]	4048435	0.0976752	../../result/log/zipf_1_18	0.4	1
LR_8_decay_vtime[cache_size=0.4,treshold=0.5]	3760419	0.0983445	../../result/log/zipf_1_18	0.4	1
LR_9_decay_vtime[cache_size=0.4,treshold=0.5]	3759353	0.098348	../../result/log/zipf_1_18	0.4	1
LR_7_decay_vtime[cache_size=0.4,treshold=0.5]	3759032	0.0983493	../../result/log/zipf_1_18	0.4	1
LR_8_decay_rtime[cache_size=0.4,treshold=0.5]	3726947	0.098431	../../result/log/zipf_1_18	0.4	1
LR_7_decay_rtime[cache_size=0.4,treshold=0.5]	3726252	0.0984329	../../result/log/zipf_1_18	0.4	1
LR_9_decay_rtime[cache_size=0.4,treshold=0.5]	3725664	0.0984347	../../result/log/zipf_1_18	0.4	1
LR_decay_rtime[cache_size=0.4,treshold=0.5]	2082036	0.103021	../../result/log/zipf_1_18	0.4	1
LR_decay_vtime[cache_size=0.4,treshold=0.5]	87300	0.112988	../../result/log/zipf_1_18	0.4	1

zipf_1_19

Ignore Obj Size

0.01

Model	Promotion	Miss Ratio	Trace	Cache Size	Ignore Obj Size
Offline Clock 2nd iteration	6047379	0.403776	../../result/log/zipf_1_19	0.01	1
Zipf Optimal Distribution	9518278	0.404475	../../result/log/zipf_1_19	0.01	1
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	10442800	0.405256	../../result/log/zipf_1_19	0.01	1
Offline Clock 1st iteration	10442800	0.405256	../../result/log/zipf_1_19	0.01	1
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	10442800	0.405256	../../result/log/zipf_1_19	0.01	1
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	10442800	0.405256	../../result/log/zipf_1_19	0.01	1
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	10442800	0.405256	../../result/log/zipf_1_19	0.01	1
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	10442800	0.405256	../../result/log/zipf_1_19	0.01	1
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	10442674	0.405257	../../result/log/zipf_1_19	0.01	1
LR_id[cache_size=0.01,treshold=0.5]	7070103	0.407609	../../result/log/zipf_1_19	0.01	1
LR_7_w_0_5[cache_size=0.01,treshold=0.5]	7777835	0.408477	../../result/log/zipf_1_19	0.01	1
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	6870202	0.40863	../../result/log/zipf_1_19	0.01	1
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	6868092	0.408636	../../result/log/zipf_1_19	0.01	1
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5]	6867548	0.408639	../../result/log/zipf_1_19	0.01	1
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	8038537	0.412114	../../result/log/zipf_1_19	0.01	1
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	5729486	0.412374	../../result/log/zipf_1_19	0.01	1
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	5728669	0.412378	../../result/log/zipf_1_19	0.01	1
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	5728158	0.412379	../../result/log/zipf_1_19	0.01	1
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	7861385	0.412668	../../result/log/zipf_1_19	0.01	1
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]	7762167	0.412987	../../result/log/zipf_1_19	0.01	1
LR_7_w_0_75[cache_size=0.01,treshold=0.5]	6101714	0.413416	../../result/log/zipf_1_19	0.01	1
LR_5_imba[cache_size=0.01,treshold=0.5]	6123011	0.413432	../../result/log/zipf_1_19	0.01	1
LR_6_imba[cache_size=0.01,treshold=0.5]	6121153	0.413437	../../result/log/zipf_1_19	0.01	1
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	8244858	0.413813	../../result/log/zipf_1_19	0.01	1
LR_9_id[cache_size=0.01,treshold=0.5]	5354665	0.414536	../../result/log/zipf_1_19	0.01	1
LR_8_id[cache_size=0.01,treshold=0.5]	5352336	0.414575	../../result/log/zipf_1_19	0.01	1
LR_7_id[cache_size=0.01,treshold=0.5]	5354640	0.414577	../../result/log/zipf_1_19	0.01	1
LR_1_log[cache_size=0.01,treshold=0.5]	5325634	0.416743	../../result/log/zipf_1_19	0.01	1
LR_4_log[cache_size=0.01,treshold=0.5]	5204272	0.416963	../../result/log/zipf_1_19	0.01	1
LR_8_decay_rtime[cache_size=0.01,treshold=0.5]	4547437	0.417477	../../result/log/zipf_1_19	0.01	1
LR_9_decay_rtime[cache_size=0.01,treshold=0.5]	4546078	0.417482	../../result/log/zipf_1_19	0.01	1
LR_7_decay_rtime[cache_size=0.01,treshold=0.5]	4545854	0.417485	../../result/log/zipf_1_19	0.01	1
LR_4_std_scaler[cache_size=0.01,treshold=0.5]	4812947	0.418032	../../result/log/zipf_1_19	0.01	1
LR_4[cache_size=0.01,treshold=0.5]	4812950	0.418032	../../result/log/zipf_1_19	0.01	1
LR_6[cache_size=0.01,treshold=0.5]	4813062	0.418032	../../result/log/zipf_1_19	0.01	1
LR_4_robust_scaler[cache_size=0.01,treshold=0.5]	4812493	0.418034	../../result/log/zipf_1_19	0.01	1
LR_5[cache_size=0.01,treshold=0.5]	4812116	0.418036	../../result/log/zipf_1_19	0.01	1
LR_1[cache_size=0.01,treshold=0.5]	4792180	0.418633	../../result/log/zipf_1_19	0.01	1
LR_1_robust_scaler[cache_size=0.01,treshold=0.5]	4791414	0.418634	../../result/log/zipf_1_19	0.01	1
LR_1_std_scaler[cache_size=0.01,treshold=0.5]	4791105	0.418637	../../result/log/zipf_1_19	0.01	1
LR_7[cache_size=0.01,treshold=0.5]	4379187	0.420192	../../result/log/zipf_1_19	0.01	1
LR_3[cache_size=0.01,treshold=0.5]	5680878	0.420217	../../result/log/zipf_1_19	0.01	1
LR_8[cache_size=0.01,treshold=0.5]	4372916	0.420231	../../result/log/zipf_1_19	0.01	1
LR_2[cache_size=0.01,treshold=0.5]	5660771	0.420299	../../result/log/zipf_1_19	0.01	1
LR_9[cache_size=0.01,treshold=0.5]	4352719	0.420313	../../result/log/zipf_1_19	0.01	1
LR_4_mean[cache_size=0.01,treshold=0.5]	4770708	0.421071	../../result/log/zipf_1_19	0.01	1
LR_1_mean[cache_size=0.01,treshold=0.5]	4836861	0.42164	../../result/log/zipf_1_19	0.01	1
LR_3_log[cache_size=0.01,treshold=0.5]	4451471	0.424891	../../result/log/zipf_1_19	0.01	1
LR_3_mean[cache_size=0.01,treshold=0.5]	4472878	0.424991	../../result/log/zipf_1_19	0.01	1
LR_2_log[cache_size=0.01,treshold=0.5]	4388212	0.42517	../../result/log/zipf_1_19	0.01	1
LR_2_mean[cache_size=0.01,treshold=0.5]	4403959	0.425278	../../result/log/zipf_1_19	0.01	1
LR_decay_rtime[cache_size=0.01,treshold=0.5]	3769376	0.427171	../../result/log/zipf_1_19	0.01	1
LR_8_decay_vtime[cache_size=0.01,treshold=0.5]	3800509	0.427938	../../result/log/zipf_1_19	0.01	1
LR_7_decay_vtime[cache_size=0.01,treshold=0.5]	3799093	0.427947	../../result/log/zipf_1_19	0.01	1
LR_9_decay_vtime[cache_size=0.01,treshold=0.5]	3710430	0.428343	../../result/log/zipf_1_19	0.01	1
LR_decay_vtime[cache_size=0.01,treshold=0.5]	2201811	0.435574	../../result/log/zipf_1_19	0.01	1

0.1

Model	Promotion	Miss Ratio	Trace	Cache Size	Ignore Obj Size
Offline Clock 2nd iteration	5852464	0.209927	../../result/log/zipf_1_19	0.1	1
Zipf Optimal Distribution	8923837	0.21197	../../result/log/zipf_1_19	0.1	1
LR_id[cache_size=0.1,treshold=0.5]	6877809	0.213473	../../result/log/zipf_1_19	0.1	1
Offline Clock 1st iteration	10270642	0.213882	../../result/log/zipf_1_19	0.1	1
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	10270642	0.213882	../../result/log/zipf_1_19	0.1	1
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	10270642	0.213882	../../result/log/zipf_1_19	0.1	1
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	10267913	0.213888	../../result/log/zipf_1_19	0.1	1
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	10250819	0.213922	../../result/log/zipf_1_19	0.1	1
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	10178551	0.214057	../../result/log/zipf_1_19	0.1	1
LR_7_w_0_5[cache_size=0.1,treshold=0.5]	7198207	0.216341	../../result/log/zipf_1_19	0.1	1
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	7339958	0.216839	../../result/log/zipf_1_19	0.1	1
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	7341063	0.216841	../../result/log/zipf_1_19	0.1	1
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	7342811	0.216847	../../result/log/zipf_1_19	0.1	1
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5]	8225582	0.218702	../../result/log/zipf_1_19	0.1	1
LR_6_imba[cache_size=0.1,treshold=0.5]	6326722	0.219267	../../result/log/zipf_1_19	0.1	1
LR_5_imba[cache_size=0.1,treshold=0.5]	6327357	0.219269	../../result/log/zipf_1_19	0.1	1
LR_9_id[cache_size=0.1,treshold=0.5]	5076838	0.219951	../../result/log/zipf_1_19	0.1	1
LR_8_id[cache_size=0.1,treshold=0.5]	5076289	0.21996	../../result/log/zipf_1_19	0.1	1
LR_7_id[cache_size=0.1,treshold=0.5]	5075084	0.219962	../../result/log/zipf_1_19	0.1	1
LR_7_w_0_75[cache_size=0.1,treshold=0.5]	5591193	0.220065	../../result/log/zipf_1_19	0.1	1
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	4944365	0.22149	../../result/log/zipf_1_19	0.1	1
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	4939071	0.221505	../../result/log/zipf_1_19	0.1	1
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	4927336	0.221548	../../result/log/zipf_1_19	0.1	1
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	6738149	0.222055	../../result/log/zipf_1_19	0.1	1
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	6732679	0.22207	../../result/log/zipf_1_19	0.1	1
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5]	6728160	0.222082	../../result/log/zipf_1_19	0.1	1
LR_4_std_scaler[cache_size=0.1,treshold=0.5]	4940787	0.222448	../../result/log/zipf_1_19	0.1	1
LR_4[cache_size=0.1,treshold=0.5]	4941149	0.222449	../../result/log/zipf_1_19	0.1	1
LR_4_robust_scaler[cache_size=0.1,treshold=0.5]	4941514	0.222449	../../result/log/zipf_1_19	0.1	1
LR_6[cache_size=0.1,treshold=0.5]	4940800	0.22245	../../result/log/zipf_1_19	0.1	1
LR_5[cache_size=0.1,treshold=0.5]	4939351	0.222458	../../result/log/zipf_1_19	0.1	1
LR_1_log[cache_size=0.1,treshold=0.5]	5081805	0.222477	../../result/log/zipf_1_19	0.1	1
LR_4_log[cache_size=0.1,treshold=0.5]	4988097	0.222532	../../result/log/zipf_1_19	0.1	1
LR_1_robust_scaler[cache_size=0.1,treshold=0.5]	5067946	0.222764	../../result/log/zipf_1_19	0.1	1
LR_1[cache_size=0.1,treshold=0.5]	5067442	0.222765	../../result/log/zipf_1_19	0.1	1
LR_1_std_scaler[cache_size=0.1,treshold=0.5]	5067817	0.222768	../../result/log/zipf_1_19	0.1	1
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5]	5704563	0.223749	../../result/log/zipf_1_19	0.1	1
LR_8[cache_size=0.1,treshold=0.5]	4189747	0.224721	../../result/log/zipf_1_19	0.1	1
LR_7[cache_size=0.1,treshold=0.5]	4187890	0.224725	../../result/log/zipf_1_19	0.1	1
LR_9[cache_size=0.1,treshold=0.5]	4185335	0.224731	../../result/log/zipf_1_19	0.1	1
LR_2[cache_size=0.1,treshold=0.5]	5629164	0.225428	../../result/log/zipf_1_19	0.1	1
LR_3[cache_size=0.1,treshold=0.5]	5628912	0.225429	../../result/log/zipf_1_19	0.1	1
LR_9_decay_rtime[cache_size=0.1,treshold=0.5]	3708704	0.226217	../../result/log/zipf_1_19	0.1	1
LR_8_decay_rtime[cache_size=0.1,treshold=0.5]	3707682	0.22622	../../result/log/zipf_1_19	0.1	1
LR_7_decay_rtime[cache_size=0.1,treshold=0.5]	3707309	0.226221	../../result/log/zipf_1_19	0.1	1
LR_4_mean[cache_size=0.1,treshold=0.5]	4367294	0.228027	../../result/log/zipf_1_19	0.1	1
LR_decay_rtime[cache_size=0.1,treshold=0.5]	3883613	0.228517	../../result/log/zipf_1_19	0.1	1
LR_1_mean[cache_size=0.1,treshold=0.5]	4495753	0.228976	../../result/log/zipf_1_19	0.1	1
LR_3_mean[cache_size=0.1,treshold=0.5]	4459508	0.229118	../../result/log/zipf_1_19	0.1	1
LR_3_log[cache_size=0.1,treshold=0.5]	4449932	0.229128	../../result/log/zipf_1_19	0.1	1
LR_2_mean[cache_size=0.1,treshold=0.5]	4454187	0.229138	../../result/log/zipf_1_19	0.1	1
LR_2_log[cache_size=0.1,treshold=0.5]	4444630	0.229148	../../result/log/zipf_1_19	0.1	1
LR_7_decay_vtime[cache_size=0.1,treshold=0.5]	4113768	0.230355	../../result/log/zipf_1_19	0.1	1
LR_8_decay_vtime[cache_size=0.1,treshold=0.5]	4093623	0.230429	../../result/log/zipf_1_19	0.1	1
LR_9_decay_vtime[cache_size=0.1,treshold=0.5]	4087149	0.230453	../../result/log/zipf_1_19	0.1	1
LR_decay_vtime[cache_size=0.1,treshold=0.5]	421338	0.248257	../../result/log/zipf_1_19	0.1	1

0.2

Model	Promotion	Miss Ratio	Trace	Cache Size	Ignore Obj Size
Offline Clock 2nd iteration	5678610	0.147359	../../result/log/zipf_1_19	0.2	1
Zipf Optimal Distribution	8501803	0.150225	../../result/log/zipf_1_19	0.2	1
LR_id[cache_size=0.2,treshold=0.5]	6598915	0.151029	../../result/log/zipf_1_19	0.2	1
Offline Clock 1st iteration	10003476	0.152791	../../result/log/zipf_1_19	0.2	1
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	10003476	0.152791	../../result/log/zipf_1_19	0.2	1
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	10003476	0.152791	../../result/log/zipf_1_19	0.2	1
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	10003476	0.152791	../../result/log/zipf_1_19	0.2	1
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	10003476	0.152791	../../result/log/zipf_1_19	0.2	1
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	10003403	0.152792	../../result/log/zipf_1_19	0.2	1
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	10003166	0.152792	../../result/log/zipf_1_19	0.2	1
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	9561609	0.153505	../../result/log/zipf_1_19	0.2	1
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	9549551	0.153526	../../result/log/zipf_1_19	0.2	1
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5]	9542561	0.153538	../../result/log/zipf_1_19	0.2	1
LR_7_w_0_5[cache_size=0.2,treshold=0.5]	7082399	0.154285	../../result/log/zipf_1_19	0.2	1
LR_6_imba[cache_size=0.2,treshold=0.5]	6439521	0.156534	../../result/log/zipf_1_19	0.2	1
LR_5_imba[cache_size=0.2,treshold=0.5]	6442574	0.156539	../../result/log/zipf_1_19	0.2	1
LR_7_id[cache_size=0.2,treshold=0.5]	4849243	0.156861	../../result/log/zipf_1_19	0.2	1
LR_9_id[cache_size=0.2,treshold=0.5]	4848378	0.156863	../../result/log/zipf_1_19	0.2	1
LR_8_id[cache_size=0.2,treshold=0.5]	4848075	0.156868	../../result/log/zipf_1_19	0.2	1
LR_7_w_0_75[cache_size=0.2,treshold=0.5]	5473127	0.157144	../../result/log/zipf_1_19	0.2	1
LR_4_robust_scaler[cache_size=0.2,treshold=0.5]	5041146	0.159207	../../result/log/zipf_1_19	0.2	1
LR_6[cache_size=0.2,treshold=0.5]	5041147	0.159207	../../result/log/zipf_1_19	0.2	1
LR_4[cache_size=0.2,treshold=0.5]	5040880	0.159209	../../result/log/zipf_1_19	0.2	1
LR_4_std_scaler[cache_size=0.2,treshold=0.5]	5042384	0.15921	../../result/log/zipf_1_19	0.2	1
LR_5[cache_size=0.2,treshold=0.5]	5042184	0.159214	../../result/log/zipf_1_19	0.2	1
LR_1[cache_size=0.2,treshold=0.5]	5108923	0.159451	../../result/log/zipf_1_19	0.2	1
LR_1_robust_scaler[cache_size=0.2,treshold=0.5]	5108169	0.159453	../../result/log/zipf_1_19	0.2	1
LR_1_std_scaler[cache_size=0.2,treshold=0.5]	5110272	0.159457	../../result/log/zipf_1_19	0.2	1
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	5211471	0.159619	../../result/log/zipf_1_19	0.2	1
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	6419320	0.15967	../../result/log/zipf_1_19	0.2	1
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	6416760	0.159677	../../result/log/zipf_1_19	0.2	1
LR_4_log[cache_size=0.2,treshold=0.5]	4766371	0.159681	../../result/log/zipf_1_19	0.2	1
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	6413917	0.159685	../../result/log/zipf_1_19	0.2	1
LR_1_log[cache_size=0.2,treshold=0.5]	4838422	0.15969	../../result/log/zipf_1_19	0.2	1
LR_8[cache_size=0.2,treshold=0.5]	4063624	0.16099	../../result/log/zipf_1_19	0.2	1
LR_7[cache_size=0.2,treshold=0.5]	4062831	0.160991	../../result/log/zipf_1_19	0.2	1
LR_9[cache_size=0.2,treshold=0.5]	4060749	0.160996	../../result/log/zipf_1_19	0.2	1
LR_2[cache_size=0.2,treshold=0.5]	5497445	0.162166	../../result/log/zipf_1_19	0.2	1
LR_3[cache_size=0.2,treshold=0.5]	5497016	0.162167	../../result/log/zipf_1_19	0.2	1
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	5014727	0.162587	../../result/log/zipf_1_19	0.2	1
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	4634872	0.163328	../../result/log/zipf_1_19	0.2	1
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	4630019	0.163338	../../result/log/zipf_1_19	0.2	1
LR_4_mean[cache_size=0.2,treshold=0.5]	4279043	0.164185	../../result/log/zipf_1_19	0.2	1
LR_3_log[cache_size=0.2,treshold=0.5]	4397016	0.165061	../../result/log/zipf_1_19	0.2	1
LR_2_log[cache_size=0.2,treshold=0.5]	4394951	0.165067	../../result/log/zipf_1_19	0.2	1
LR_1_mean[cache_size=0.2,treshold=0.5]	4389181	0.165095	../../result/log/zipf_1_19	0.2	1
LR_3_mean[cache_size=0.2,treshold=0.5]	4387321	0.165101	../../result/log/zipf_1_19	0.2	1
LR_2_mean[cache_size=0.2,treshold=0.5]	4385144	0.165108	../../result/log/zipf_1_19	0.2	1
LR_8_decay_vtime[cache_size=0.2,treshold=0.5]	4021224	0.166255	../../result/log/zipf_1_19	0.2	1
LR_7_decay_vtime[cache_size=0.2,treshold=0.5]	4020467	0.166257	../../result/log/zipf_1_19	0.2	1
LR_9_decay_vtime[cache_size=0.2,treshold=0.5]	4019870	0.16626	../../result/log/zipf_1_19	0.2	1
LR_decay_rtime[cache_size=0.2,treshold=0.5]	3445218	0.167118	../../result/log/zipf_1_19	0.2	1
LR_9_decay_rtime[cache_size=0.2,treshold=0.5]	3313887	0.167272	../../result/log/zipf_1_19	0.2	1
LR_7_decay_rtime[cache_size=0.2,treshold=0.5]	3311199	0.167277	../../result/log/zipf_1_19	0.2	1
LR_8_decay_rtime[cache_size=0.2,treshold=0.5]	3309168	0.167279	../../result/log/zipf_1_19	0.2	1
LR_decay_vtime[cache_size=0.2,treshold=0.5]	216718	0.183648	../../result/log/zipf_1_19	0.2	1

0.4

Model	Promotion	Miss Ratio	Trace	Cache Size	Ignore Obj Size
Offline Clock 2nd iteration	5227240	0.0827181	../../result/log/zipf_1_19	0.4	1
Zipf Optimal Distribution	7662557	0.0867323	../../result/log/zipf_1_19	0.4	1
LR_id[cache_size=0.4,treshold=0.5]	5762523	0.0867773	../../result/log/zipf_1_19	0.4	1
Offline Clock 1st iteration	9241538	0.0897029	../../result/log/zipf_1_19	0.4	1
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	9241538	0.0897029	../../result/log/zipf_1_19	0.4	1
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	9241538	0.0897029	../../result/log/zipf_1_19	0.4	1
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	9241538	0.0897029	../../result/log/zipf_1_19	0.4	1
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	9241538	0.0897029	../../result/log/zipf_1_19	0.4	1
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	8885718	0.0900705	../../result/log/zipf_1_19	0.4	1
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	8885540	0.0900707	../../result/log/zipf_1_19	0.4	1
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	8883733	0.0900732	../../result/log/zipf_1_19	0.4	1
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	8881911	0.0900756	../../result/log/zipf_1_19	0.4	1
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	8881911	0.0900756	../../result/log/zipf_1_19	0.4	1
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	8880205	0.0900783	../../result/log/zipf_1_19	0.4	1
LR_7_w_0_5[cache_size=0.4,treshold=0.5]	7046696	0.0903306	../../result/log/zipf_1_19	0.4	1
LR_9_id[cache_size=0.4,treshold=0.5]	4274549	0.0913376	../../result/log/zipf_1_19	0.4	1
LR_8_id[cache_size=0.4,treshold=0.5]	4274688	0.0913389	../../result/log/zipf_1_19	0.4	1
LR_7_id[cache_size=0.4,treshold=0.5]	4273128	0.0913445	../../result/log/zipf_1_19	0.4	1
LR_6_imba[cache_size=0.4,treshold=0.5]	6412184	0.0914239	../../result/log/zipf_1_19	0.4	1
LR_5_imba[cache_size=0.4,treshold=0.5]	6430303	0.0914254	../../result/log/zipf_1_19	0.4	1
LR_7_w_0_75[cache_size=0.4,treshold=0.5]	5456760	0.091633	../../result/log/zipf_1_19	0.4	1
LR_6[cache_size=0.4,treshold=0.5]	4832850	0.093529	../../result/log/zipf_1_19	0.4	1
LR_4_robust_scaler[cache_size=0.4,treshold=0.5]	4832894	0.09353	../../result/log/zipf_1_19	0.4	1
LR_4_std_scaler[cache_size=0.4,treshold=0.5]	4835745	0.0935396	../../result/log/zipf_1_19	0.4	1
LR_5[cache_size=0.4,treshold=0.5]	4834241	0.0935421	../../result/log/zipf_1_19	0.4	1
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	6213305	0.0935792	../../result/log/zipf_1_19	0.4	1
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	6211696	0.093582	../../result/log/zipf_1_19	0.4	1
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	6211630	0.0935821	../../result/log/zipf_1_19	0.4	1
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	6210984	0.0935835	../../result/log/zipf_1_19	0.4	1
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	6210437	0.0935847	../../result/log/zipf_1_19	0.4	1
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	6210484	0.0935848	../../result/log/zipf_1_19	0.4	1
LR_1_robust_scaler[cache_size=0.4,treshold=0.5]	4836237	0.0935869	../../result/log/zipf_1_19	0.4	1
LR_1[cache_size=0.4,treshold=0.5]	4836057	0.0935872	../../result/log/zipf_1_19	0.4	1
LR_1_std_scaler[cache_size=0.4,treshold=0.5]	4837595	0.0936029	../../result/log/zipf_1_19	0.4	1
LR_4[cache_size=0.4,treshold=0.5]	4711618	0.0937833	../../result/log/zipf_1_19	0.4	1
LR_4_log[cache_size=0.4,treshold=0.5]	4275162	0.0941018	../../result/log/zipf_1_19	0.4	1
LR_1_log[cache_size=0.4,treshold=0.5]	4294052	0.0941198	../../result/log/zipf_1_19	0.4	1
LR_8[cache_size=0.4,treshold=0.5]	3742627	0.0943506	../../result/log/zipf_1_19	0.4	1
LR_7[cache_size=0.4,treshold=0.5]	3742200	0.0943506	../../result/log/zipf_1_19	0.4	1
LR_9[cache_size=0.4,treshold=0.5]	3741938	0.094351	../../result/log/zipf_1_19	0.4	1
LR_3[cache_size=0.4,treshold=0.5]	5043935	0.0956911	../../result/log/zipf_1_19	0.4	1
LR_2[cache_size=0.4,treshold=0.5]	4368755	0.0970087	../../result/log/zipf_1_19	0.4	1
LR_4_mean[cache_size=0.4,treshold=0.5]	3955892	0.0970495	../../result/log/zipf_1_19	0.4	1
LR_2_log[cache_size=0.4,treshold=0.5]	4105485	0.0973513	../../result/log/zipf_1_19	0.4	1
LR_3_log[cache_size=0.4,treshold=0.5]	4105180	0.0973528	../../result/log/zipf_1_19	0.4	1
LR_1_mean[cache_size=0.4,treshold=0.5]	4050641	0.0977567	../../result/log/zipf_1_19	0.4	1
LR_3_mean[cache_size=0.4,treshold=0.5]	4050999	0.0977582	../../result/log/zipf_1_19	0.4	1
LR_2_mean[cache_size=0.4,treshold=0.5]	4050317	0.09776	../../result/log/zipf_1_19	0.4	1
LR_8_decay_vtime[cache_size=0.4,treshold=0.5]	3765171	0.0984136	../../result/log/zipf_1_19	0.4	1
LR_9_decay_vtime[cache_size=0.4,treshold=0.5]	3763831	0.0984161	../../result/log/zipf_1_19	0.4	1
LR_7_decay_vtime[cache_size=0.4,treshold=0.5]	3763446	0.0984165	../../result/log/zipf_1_19	0.4	1
LR_8_decay_rtime[cache_size=0.4,treshold=0.5]	3728076	0.0984957	../../result/log/zipf_1_19	0.4	1
LR_7_decay_rtime[cache_size=0.4,treshold=0.5]	3727412	0.0984974	../../result/log/zipf_1_19	0.4	1
LR_9_decay_rtime[cache_size=0.4,treshold=0.5]	3726882	0.0984986	../../result/log/zipf_1_19	0.4	1
LR_decay_rtime[cache_size=0.4,treshold=0.5]	2086051	0.103083	../../result/log/zipf_1_19	0.4	1
LR_decay_vtime[cache_size=0.4,treshold=0.5]	86897	0.113065	../../result/log/zipf_1_19	0.4	1