Zipf1 Weighted Models with Treshold 0.5 Test Data Result Obj Size Ignored

Result

Model Summaries

Model	Better than base % of the times
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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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
Offline Clock 1st iteration	0
Offline Clock 2nd iteration	100
Zipf Optimal Distribution	100

Promotion Reduced (%)

Model	Max	Min	Avg	Mdn
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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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
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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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
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 (%)
Offline Clock 2nd iteration	42.6567	2.73498
Zipf Optimal Distribution	12.1282	1.23463
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	0	0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	0	0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	0	0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5]	0	0
LR_decay_vtime_w_0_75[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_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	0	0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	0	0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	0	0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	0	0
Offline Clock 1st iteration	0	0
LR_decay_rtime_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_5[cache_size=0.2,treshold=0.5]	0	0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5]	0	0
LR_decay_vtime_w_0_75[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_rtime_w_0_5[cache_size=0.4,treshold=0.5]	3.9258	-0.423829
LR_8_decay_vtime_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_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_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_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_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_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_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_8[cache_size=0.01,treshold=0.5]	58.1344	-3.7035
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_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_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	47.8889	-4.467
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	35.8401	-4.50497
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_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_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_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_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	49.879	-6.4176
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_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_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_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_8_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_rtime_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
Offline Clock 1st iteration	0	0
LR_decay_vtime_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_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_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	21.053	-2.11374
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_7[cache_size=0.01,treshold=0.5]	58.0713	-3.69388
LR_8[cache_size=0.01,treshold=0.5]	58.1344	-3.7035
LR_9[cache_size=0.01,treshold=0.5]	58.3231	-3.72275
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_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	0	0
Offline Clock 1st iteration	0	0
LR_decay_vtime_w_0_75[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_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_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_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_decay_rtime[cache_size=0.1,treshold=0.5]	62.2175	-6.84646
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_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
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
Offline Clock 1st iteration	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_7_w_0_75[cache_size=0.2,treshold=0.5]	45.2752	-2.84368
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	47.8889	-4.467
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5]	35.8401	-4.50497
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_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_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_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	0	0
Offline Clock 1st iteration	0	0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	0	0
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
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_7_w_0_75[cache_size=0.4,treshold=0.5]	40.9505	-2.13143
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_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_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 (%)
Offline Clock 2nd iteration	43.0175	1.84941
Zipf Optimal Distribution	13.1121	0.902408
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	0.000679926	0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5]	0	0
LR_8_decay_vtime_w_0_5[cache_size=0.01,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_75[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_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	0	0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	0	0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	0	0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	0	0
Offline Clock 1st iteration	0	0
LR_decay_rtime_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_5[cache_size=0.2,treshold=0.5]	0	0
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
LR_decay_vtime_w_0_75[cache_size=0.1,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_vtime_w_0_5[cache_size=0.4,treshold=0.5]	3.88183	-0.421301
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	3.87906	-0.421301
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	3.90182	-0.422638
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	3.92493	-0.425535
LR_8_decay_vtime_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_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_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_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_7_w_0_75[cache_size=0.2,treshold=0.5]	45.2721	-2.8419
LR_7_w_0_75[cache_size=0.1,treshold=0.5]	45.562	-2.89088
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_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_8[cache_size=0.01,treshold=0.5]	58.1308	-3.70497
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_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_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	47.8873	-4.46885
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_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_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_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_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	49.8794	-6.41948
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_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_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_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_8_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_rtime_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
Offline Clock 1st iteration	0	0
LR_decay_vtime_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_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_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	21.0563	-2.11292
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_7[cache_size=0.01,treshold=0.5]	58.0668	-3.69557
LR_8[cache_size=0.01,treshold=0.5]	58.1308	-3.70497
LR_9[cache_size=0.01,treshold=0.5]	58.3185	-3.72372
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_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	0	0
Offline Clock 1st iteration	0	0
LR_decay_vtime_w_0_75[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_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_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_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_decay_rtime[cache_size=0.1,treshold=0.5]	62.2269	-6.84264
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_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_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_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_7_w_0_75[cache_size=0.2,treshold=0.5]	45.2721	-2.8419
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5]	47.8873	-4.46885
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_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_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_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_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	0	0
Offline Clock 1st iteration	0	0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	0	0
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
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_7_w_0_75[cache_size=0.4,treshold=0.5]	40.954	-2.13337
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_rtime_w_0_75[cache_size=0.4,treshold=0.5]	32.7867	-4.31946
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	32.7803	-4.31946
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5]	32.7871	-4.31957
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_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_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_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_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_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

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_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_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	8242479	0.413734	../../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_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_9[cache_size=0.01,treshold=0.5]	4350655	0.420286	../../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_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	10273545	0.213817	../../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_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_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_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_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_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_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_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_decay_rtime[cache_size=0.1,treshold=0.5]	3878974	0.228482	../../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_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	10000330	0.15275	../../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_vtime_w_0_5[cache_size=0.2,treshold=0.5]	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_decay_vtime_w_0_75[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_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_7_w_0_75[cache_size=0.2,treshold=0.5]	5473148	0.157091	../../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_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_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_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_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_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	9234422	0.0897434	../../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_vtime_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_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_vtime_w_0_5[cache_size=0.4,treshold=0.5]	8871109	0.0901184	../../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_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_7_w_0_75[cache_size=0.4,treshold=0.5]	5455433	0.0916328	../../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_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_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_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_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	8239578	0.413925	../../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_7[cache_size=0.01,treshold=0.5]	4375097	0.420329	../../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_9[cache_size=0.01,treshold=0.5]	4349191	0.420441	../../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_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	10274590	0.213983	../../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_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_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_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_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_decay_rtime[cache_size=0.1,treshold=0.5]	3880149	0.228621	../../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_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	10010456	0.152836	../../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_vtime_w_0_5[cache_size=0.2,treshold=0.5]	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_decay_vtime_w_0_75[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_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_7_w_0_75[cache_size=0.2,treshold=0.5]	5478880	0.157195	../../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_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_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_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_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	9242882	0.0897459	../../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_vtime_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_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_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_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_vtime_w_0_5[cache_size=0.4,treshold=0.5]	8882262	0.0901278	../../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_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_7_w_0_75[cache_size=0.4,treshold=0.5]	5459838	0.0916519	../../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_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_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_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_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	8240720	0.413818	../../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_7[cache_size=0.01,treshold=0.5]	4377646	0.420218	../../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_9[cache_size=0.01,treshold=0.5]	4351594	0.420333	../../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_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	10272630	0.213852	../../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_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_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_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_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_decay_rtime[cache_size=0.1,treshold=0.5]	3880286	0.228496	../../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_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	10002812	0.152785	../../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_vtime_w_0_5[cache_size=0.2,treshold=0.5]	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_decay_vtime_w_0_75[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_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_7_w_0_75[cache_size=0.2,treshold=0.5]	5473917	0.157115	../../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_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_7[cache_size=0.2,treshold=0.5]	4063819	0.16096	../../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_9[cache_size=0.2,treshold=0.5]	4061748	0.160965	../../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_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_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	9240697	0.0897079	../../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_vtime_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_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_vtime_w_0_5[cache_size=0.4,treshold=0.5]	8878006	0.0900926	../../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_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_7_w_0_75[cache_size=0.4,treshold=0.5]	5455846	0.0916217	../../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_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_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_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_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	8243229	0.413757	../../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_7[cache_size=0.01,treshold=0.5]	4377907	0.420158	../../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_9[cache_size=0.01,treshold=0.5]	4351494	0.420276	../../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_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	10268394	0.213821	../../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_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_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_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_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_decay_rtime[cache_size=0.1,treshold=0.5]	3881983	0.228452	../../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_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	10001014	0.152706	../../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_vtime_w_0_5[cache_size=0.2,treshold=0.5]	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_decay_vtime_w_0_75[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_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_7_w_0_75[cache_size=0.2,treshold=0.5]	5473386	0.157045	../../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_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_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_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_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	9239322	0.0896548	../../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_vtime_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_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_vtime_w_0_5[cache_size=0.4,treshold=0.5]	8871898	0.0900416	../../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_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_7_w_0_75[cache_size=0.4,treshold=0.5]	5452298	0.0915761	../../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_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_rtime_w_0_75[cache_size=0.4,treshold=0.5]	6204563	0.0935274	../../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_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_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_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_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_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]	8244858	0.413813	../../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_7[cache_size=0.01,treshold=0.5]	4379187	0.420192	../../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_9[cache_size=0.01,treshold=0.5]	4352719	0.420313	../../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_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5]	10270642	0.213882	../../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_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_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_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_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_decay_rtime[cache_size=0.1,treshold=0.5]	3883613	0.228517	../../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_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5]	10003476	0.152791	../../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_vtime_w_0_5[cache_size=0.2,treshold=0.5]	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_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_7_w_0_75[cache_size=0.2,treshold=0.5]	5473127	0.157144	../../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_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_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_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_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_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5]	9241538	0.0897029	../../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_vtime_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_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_vtime_w_0_5[cache_size=0.4,treshold=0.5]	8881911	0.0900756	../../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_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_7_w_0_75[cache_size=0.4,treshold=0.5]	5456760	0.091633	../../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_7[cache_size=0.4,treshold=0.5]	3742200	0.0943506	../../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_9[cache_size=0.4,treshold=0.5]	3741938	0.094351	../../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