Zipf1 Decay Model with Treshold 0.8 Test Data Result Obj Size Ignored

Result

Model Summaries

Model Better than base % of the times
LR_7_decay_rtime[cache_size=0.01,treshold=0.8] 0
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0
LR_7_decay_vtime[cache_size=0.01,treshold=0.8] 0
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0
LR_8_decay_rtime[cache_size=0.01,treshold=0.8] 0
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.8] 0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0
LR_9_decay_rtime[cache_size=0.01,treshold=0.8] 0
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.8] 0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0
LR_decay_rtime[cache_size=0.01,treshold=0.8] 0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0
LR_decay_vtime[cache_size=0.01,treshold=0.8] 0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0
LR_7_decay_rtime[cache_size=0.1,treshold=0.8] 0
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0
LR_7_decay_vtime[cache_size=0.1,treshold=0.8] 0
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0
LR_8_decay_rtime[cache_size=0.1,treshold=0.8] 0
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0
LR_8_decay_vtime[cache_size=0.1,treshold=0.8] 0
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0
LR_9_decay_rtime[cache_size=0.1,treshold=0.8] 0
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0
LR_9_decay_vtime[cache_size=0.1,treshold=0.8] 0
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0
LR_decay_rtime[cache_size=0.1,treshold=0.8] 0
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0
LR_decay_vtime[cache_size=0.1,treshold=0.8] 0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0
LR_7_decay_rtime[cache_size=0.2,treshold=0.8] 0
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0
LR_7_decay_vtime[cache_size=0.2,treshold=0.8] 0
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.8] 0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0
LR_8_decay_vtime[cache_size=0.2,treshold=0.8] 0
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0
LR_9_decay_rtime[cache_size=0.2,treshold=0.8] 0
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0
LR_9_decay_vtime[cache_size=0.2,treshold=0.8] 0
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0
LR_decay_rtime[cache_size=0.2,treshold=0.8] 0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0
LR_decay_vtime[cache_size=0.2,treshold=0.8] 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0
LR_7_decay_rtime[cache_size=0.4,treshold=0.8] 0
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0
LR_7_decay_vtime[cache_size=0.4,treshold=0.8] 0
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0
LR_8_decay_rtime[cache_size=0.4,treshold=0.8] 0
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0
LR_8_decay_vtime[cache_size=0.4,treshold=0.8] 0
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0
LR_9_decay_rtime[cache_size=0.4,treshold=0.8] 0
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0
LR_9_decay_vtime[cache_size=0.4,treshold=0.8] 0
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0
LR_decay_rtime[cache_size=0.4,treshold=0.8] 0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0
LR_decay_vtime[cache_size=0.4,treshold=0.8] 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0
Offline Clock 1st iteration 0
Offline Clock 2nd iteration 100
Zipf Optimal Distribution 100

Promotion Reduced (%)

Model Max Min Avg Mdn
LR_7_decay_rtime[cache_size=0.01,treshold=0.8] 16.3437 16.3183 16.3308 16.3313
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_7_decay_vtime[cache_size=0.01,treshold=0.8] 0.00053652 0.000335257 0.000427203 0.000430919
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_8_decay_rtime[cache_size=0.01,treshold=0.8] 16.4056 16.3827 16.3942 16.3936
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_9_decay_rtime[cache_size=0.01,treshold=0.8] 16.3956 16.3763 16.3862 16.3844
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_decay_rtime[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_7_decay_rtime[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_7_decay_vtime[cache_size=0.1,treshold=0.8] 3.89545e-05 0 1.55786e-05 9.73649e-06
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_8_decay_rtime[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_8_decay_vtime[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_9_decay_rtime[cache_size=0.1,treshold=0.8] 0.0011589 0.00074971 0.00100663 0.00109018
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_9_decay_vtime[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_decay_rtime[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_7_decay_rtime[cache_size=0.2,treshold=0.8] 0.000399983 0.000219937 0.000315886 0.000319889
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_7_decay_vtime[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 4.99475e-05 9.99959e-06 2.99851e-05 2.99968e-05
LR_8_decay_rtime[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_8_decay_vtime[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_9_decay_rtime[cache_size=0.2,treshold=0.8] 0.00326906 0.00245915 0.00298893 0.00311966
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_9_decay_vtime[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_decay_rtime[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_7_decay_rtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_7_decay_vtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_8_decay_rtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_8_decay_vtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_9_decay_rtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_9_decay_vtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_decay_rtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 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_decay_rtime[cache_size=0.01,treshold=0.8] -0.0120911 -0.020723 -0.0158914 -0.0153021
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_7_decay_vtime[cache_size=0.01,treshold=0.8] 0 -0.000246758-4.93515e-05 0
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_8_decay_rtime[cache_size=0.01,treshold=0.8] -0.00863652 -0.0180093 -0.0130289 -0.012834
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_9_decay_rtime[cache_size=0.01,treshold=0.8] -0.000493515-0.00962139 -0.00458954 -0.00444255
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_decay_rtime[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_7_decay_rtime[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_7_decay_vtime[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_8_decay_rtime[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_8_decay_vtime[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_9_decay_rtime[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_9_decay_vtime[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_decay_rtime[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_7_decay_rtime[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_7_decay_vtime[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_8_decay_vtime[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_9_decay_rtime[cache_size=0.2,treshold=0.8] 0 -0.000654853-0.000523631-0.000654489
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_9_decay_vtime[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_decay_rtime[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_7_decay_rtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_7_decay_vtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_8_decay_rtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_8_decay_vtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_9_decay_rtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_9_decay_vtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_decay_rtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 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_7_decay_rtime[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_vtime[cache_size=0.1,treshold=0.8] 1.55786e-05 0
LR_7_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
LR_7_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 2.99851e-05 0
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_rtime[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_rtime[cache_size=0.2,treshold=0.8] 0.000315886 0
LR_7_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_vtime[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_rtime[cache_size=0.1,treshold=0.8] 0.00100663 0
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_vtime[cache_size=0.1,treshold=0.8] 0 0
LR_9_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_decay_rtime[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_decay_rtime[cache_size=0.1,treshold=0.8] 0 0
LR_decay_rtime[cache_size=0.2,treshold=0.8] 0 0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.8] 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.8] 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
Offline Clock 1st iteration 0 0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_7_decay_vtime[cache_size=0.01,treshold=0.8] 0.000427203 -4.93515e-05
LR_9_decay_rtime[cache_size=0.2,treshold=0.8] 0.00298893 -0.000523631
LR_9_decay_rtime[cache_size=0.01,treshold=0.8] 16.3862 -0.00458954
LR_8_decay_rtime[cache_size=0.01,treshold=0.8] 16.3942 -0.0130289
LR_7_decay_rtime[cache_size=0.01,treshold=0.8] 16.3308 -0.0158914

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_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_decay_rtime[cache_size=0.01,treshold=0.8] 0 0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.8] 0 0
Offline Clock 1st iteration 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.8] 0 0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_7_decay_vtime[cache_size=0.01,treshold=0.8] 0.000427203 -4.93515e-05
LR_9_decay_rtime[cache_size=0.01,treshold=0.8] 16.3862 -0.00458954
LR_8_decay_rtime[cache_size=0.01,treshold=0.8] 16.3942 -0.0130289
LR_7_decay_rtime[cache_size=0.01,treshold=0.8] 16.3308 -0.0158914

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_7_decay_rtime[cache_size=0.1,treshold=0.8] 0 0
LR_7_decay_vtime[cache_size=0.1,treshold=0.8] 1.55786e-05 0
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_rtime[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_vtime[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_9_decay_rtime[cache_size=0.1,treshold=0.8] 0.00100663 0
LR_9_decay_vtime[cache_size=0.1,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_decay_rtime[cache_size=0.1,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.8] 0 0
Offline Clock 1st iteration 0 0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0

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_7_decay_rtime[cache_size=0.2,treshold=0.8] 0.000315886 0
LR_7_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 2.99851e-05 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_decay_rtime[cache_size=0.2,treshold=0.8] 0 0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
Offline Clock 1st iteration 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_rtime[cache_size=0.2,treshold=0.8] 0.00298893 -0.000523631

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_7_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
Offline Clock 1st iteration 0 0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0

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[cache_size=0.1,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_vtime[cache_size=0.01,treshold=0.8] 0.000430919 0
LR_7_decay_vtime[cache_size=0.1,treshold=0.8] 9.73649e-06 0
LR_7_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
LR_7_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 2.99968e-05 0
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_rtime[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_7_decay_rtime[cache_size=0.2,treshold=0.8] 0.000319889 0
LR_7_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_vtime[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_rtime[cache_size=0.1,treshold=0.8] 0.00109018 0
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_vtime[cache_size=0.1,treshold=0.8] 0 0
LR_9_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_decay_rtime[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_decay_rtime[cache_size=0.1,treshold=0.8] 0 0
LR_decay_rtime[cache_size=0.2,treshold=0.8] 0 0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.8] 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.8] 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
Offline Clock 1st iteration 0 0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_rtime[cache_size=0.2,treshold=0.8] 0.00311966 -0.000654489
LR_9_decay_rtime[cache_size=0.01,treshold=0.8] 16.3844 -0.00444255
LR_8_decay_rtime[cache_size=0.01,treshold=0.8] 16.3936 -0.012834
LR_7_decay_rtime[cache_size=0.01,treshold=0.8] 16.3313 -0.0153021

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_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_7_decay_vtime[cache_size=0.01,treshold=0.8] 0.000430919 0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_decay_rtime[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.8] 0 0
Offline Clock 1st iteration 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.8] 0 0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_rtime[cache_size=0.01,treshold=0.8] 16.3844 -0.00444255
LR_8_decay_rtime[cache_size=0.01,treshold=0.8] 16.3936 -0.012834
LR_7_decay_rtime[cache_size=0.01,treshold=0.8] 16.3313 -0.0153021

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_7_decay_rtime[cache_size=0.1,treshold=0.8] 0 0
LR_7_decay_vtime[cache_size=0.1,treshold=0.8] 9.73649e-06 0
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_rtime[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_vtime[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_9_decay_rtime[cache_size=0.1,treshold=0.8] 0.00109018 0
LR_9_decay_vtime[cache_size=0.1,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_decay_rtime[cache_size=0.1,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.8] 0 0
Offline Clock 1st iteration 0 0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0

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[cache_size=0.2,treshold=0.8] 0.000319889 0
LR_7_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 2.99968e-05 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_decay_rtime[cache_size=0.2,treshold=0.8] 0 0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
Offline Clock 1st iteration 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_rtime[cache_size=0.2,treshold=0.8] 0.00311966 -0.000654489

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_7_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
Offline Clock 1st iteration 0 0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0

Model Classification Report

LR_7_decay_rtime

0.01

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.66      0.96      0.78  28055468
           1       0.87      0.35      0.50  21729815

    accuracy                           0.69  49785283
   macro avg       0.76      0.66      0.64  49785283
weighted avg       0.75      0.69      0.66  49785283

Accuracy: 0.6938841544799494
0-1%
              precision    recall  f1-score   support

           0       0.67      0.97      0.79  27764588
           1       0.79      0.21      0.33  17098553

    accuracy                           0.68  44863141
   macro avg       0.73      0.59      0.56  44863141
weighted avg       0.71      0.68      0.61  44863141

Accuracy: 0.6780533266718887
1-10%
              precision    recall  f1-score   support

           0       0.08      0.16      0.11    287564
           1       0.94      0.87      0.90   4164787

    accuracy                           0.83   4452351
   macro avg       0.51      0.52      0.51   4452351
weighted avg       0.88      0.83      0.85   4452351

Accuracy: 0.8276360062358067
10-20%
              precision    recall  f1-score   support

           0       0.01      0.07      0.02      2455
           1       0.99      0.94      0.97    257616

    accuracy                           0.93    260071
   macro avg       0.50      0.51      0.49    260071
weighted avg       0.98      0.93      0.96    260071

Accuracy: 0.9337411706803143
20-40%
              precision    recall  f1-score   support

           0       0.01      0.06      0.01       659
           1       1.00      0.95      0.97    130568

    accuracy                           0.94    131227
   macro avg       0.50      0.51      0.49    131227
weighted avg       0.99      0.94      0.97    131227

Accuracy: 0.9424661083466055
40-80%
              precision    recall  f1-score   support

           0       0.00      0.09      0.01       169
           1       1.00      0.95      0.97     65234

    accuracy                           0.94     65403
   macro avg       0.50      0.52      0.49     65403
weighted avg       0.99      0.94      0.97     65403

Accuracy: 0.9445744079017782
80-90%
              precision    recall  f1-score   support

           0       0.00      0.07      0.01        15
           1       1.00      0.95      0.97      7371

    accuracy                           0.95      7386
   macro avg       0.50      0.51      0.49      7386
weighted avg       1.00      0.95      0.97      7386

Accuracy: 0.9471974004874086
90-100%
              precision    recall  f1-score   support

           0       0.00      0.06      0.01        18
           1       1.00      0.95      0.97      5686

    accuracy                           0.95      5704
   macro avg       0.50      0.50      0.49      5704
weighted avg       0.99      0.95      0.97      5704

Accuracy: 0.9468793828892006

0.1

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.82      0.01      0.03  21615229

    accuracy                           0.55  47734596
   macro avg       0.68      0.51      0.37  47734596
weighted avg       0.67      0.55      0.40  47734596

Accuracy: 0.552428033537772
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.50      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.73      0.50      0.49  12561431
weighted avg       0.94      0.96      0.94  12561431

Accuracy: 0.9595251528269351
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.72      0.01      0.02  14466820

    accuracy                           0.48  27835287
   macro avg       0.60      0.50      0.33  27835287
weighted avg       0.60      0.48      0.32  27835287

Accuracy: 0.4832352905145185
10-20%
              precision    recall  f1-score   support

           0       0.13      0.98      0.23    503365
           1       0.88      0.02      0.05   3387274

    accuracy                           0.15   3890639
   macro avg       0.51      0.50      0.14   3890639
weighted avg       0.79      0.15      0.07   3890639

Accuracy: 0.14792557212324248
20-40%
              precision    recall  f1-score   support

           0       0.07      0.97      0.13    147488
           1       0.94      0.03      0.06   1970425

    accuracy                           0.10   2117913
   macro avg       0.50      0.50      0.09   2117913
weighted avg       0.88      0.10      0.06   2117913

Accuracy: 0.09554736195490561
40-80%
              precision    recall  f1-score   support

           0       0.04      0.97      0.07     41616
           1       0.97      0.03      0.06   1064279

    accuracy                           0.07   1105895
   macro avg       0.50      0.50      0.07   1105895
weighted avg       0.93      0.07      0.06   1105895

Accuracy: 0.06813757183096045
80-90%
              precision    recall  f1-score   support

           0       0.03      0.97      0.05      3093
           1       0.98      0.03      0.07    120943

    accuracy                           0.06    124036
   macro avg       0.50      0.50      0.06    124036
weighted avg       0.96      0.06      0.07    124036

Accuracy: 0.05759618175368442
90-100%
              precision    recall  f1-score   support

           0       0.02      0.97      0.05      2328
           1       0.98      0.03      0.07     97067

    accuracy                           0.06     99395
   macro avg       0.50      0.50      0.06     99395
weighted avg       0.96      0.06      0.06     99395

Accuracy: 0.055777453594245185

0.2

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.03      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.29      0.50      0.35  45456361
weighted avg       0.31      0.55      0.39  45456361

Accuracy: 0.5476286366169962
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       0.68      1.00      0.81  16949103
           1       0.03      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.35      0.50      0.40  24965875
weighted avg       0.47      0.68      0.55  24965875

Accuracy: 0.6788895642552084
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.07      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.17      0.50      0.21   7518650
weighted avg       0.13      0.27      0.12   7518650

Accuracy: 0.2736504558664122
20-40%
              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: 0.15502299130186517
40-80%
              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: 0.08673875347282993
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: 0.058906164281478615
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: 0.05365423178596614

0.4

Treshold: 0.8

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
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

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

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      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
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
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_7_decay_rtime_w_0_5

0.01

Treshold: 0.8

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
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
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       0.01      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
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: 0.8

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
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      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       0.13      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       0.07      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       0.04      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: 0.8

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
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       0.68      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       0.27      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       0.16      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       0.09      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: 0.8

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
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

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

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      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
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
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_7_decay_rtime_w_0_75

0.01

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.97      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.77      0.50      0.36  49785283
weighted avg       0.74      0.56      0.41  49785283

Accuracy: 0.5640411846207644
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.79      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.70      0.50      0.38  44863141
weighted avg       0.68      0.62      0.47  44863141

Accuracy: 0.6188776661892667
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.97      0.00      0.01   4164787

    accuracy                           0.07   4452351
   macro avg       0.52      0.50      0.06   4452351
weighted avg       0.91      0.07      0.01   4452351

Accuracy: 0.06797846800488101
10-20%
              precision    recall  f1-score   support

           0       0.01      0.98      0.02      2455
           1       0.99      0.02      0.04    257616

    accuracy                           0.03    260071
   macro avg       0.50      0.50      0.03    260071
weighted avg       0.98      0.03      0.04    260071

Accuracy: 0.029099745838636372
20-40%
              precision    recall  f1-score   support

           0       0.00      0.97      0.01       659
           1       0.99      0.02      0.05    130568

    accuracy                           0.03    131227
   macro avg       0.50      0.50      0.03    131227
weighted avg       0.99      0.03      0.05    131227

Accuracy: 0.028248759782666676
40-80%
              precision    recall  f1-score   support

           0       0.00      0.98      0.01       169
           1       1.00      0.03      0.05     65234

    accuracy                           0.03     65403
   macro avg       0.50      0.50      0.03     65403
weighted avg       1.00      0.03      0.05     65403

Accuracy: 0.027766310413895386
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       1.00      0.03      0.05      7371

    accuracy                           0.03      7386
   macro avg       0.50      0.51      0.03      7386
weighted avg       1.00      0.03      0.05      7386

Accuracy: 0.028973734091524504
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       1.00      0.03      0.06      5686

    accuracy                           0.03      5704
   macro avg       0.50      0.51      0.03      5704
weighted avg       1.00      0.03      0.06      5704

Accuracy: 0.032433380084151475

0.1

Treshold: 0.8

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
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      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       0.13      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       0.07      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       0.04      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: 0.8

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
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       0.68      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       0.27      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       0.16      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       0.09      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: 0.8

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
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

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

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      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
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
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_7_decay_vtime

0.01

Treshold: 0.8

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: 0.5635278200587913
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       0.43      0.62      0.47  44863141

Accuracy: 0.6188712243754846
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.80      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.43      0.50      0.06   4452351
weighted avg       0.75      0.06      0.01   4452351

Accuracy: 0.06458767514061672
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: 0.009447420127580545
20-40%
              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      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.0025686895096555203
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: 0.8

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: 0.5471789056306248
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: 0.9595251528269351
1-10%
              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: 0.48027042077920734
10-20%
              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       0.07      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       0.04      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: 0.8

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
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       0.68      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       0.27      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       0.16      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       0.09      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: 0.8

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
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

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

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      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
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
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_7_decay_vtime_w_0_5

0.01

Treshold: 0.8

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
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
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       0.01      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
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: 0.8

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
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      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       0.13      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       0.07      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       0.04      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: 0.8

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
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       0.68      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       0.27      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       0.16      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       0.09      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: 0.8

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
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

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

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      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
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
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_7_decay_vtime_w_0_75

0.01

Treshold: 0.8

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
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
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       0.01      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
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: 0.8

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
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      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       0.13      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       0.07      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       0.04      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: 0.8

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: 0.5476298685677896
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       0.68      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       0.27      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       0.16      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       0.09      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: 0.8

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
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

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

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      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
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
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_8_decay_rtime

0.01

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.66      0.96      0.78  28055468
           1       0.87      0.35      0.50  21729815

    accuracy                           0.69  49785283
   macro avg       0.76      0.66      0.64  49785283
weighted avg       0.75      0.69      0.66  49785283

Accuracy: 0.694558209099665
0-1%
              precision    recall  f1-score   support

           0       0.67      0.97      0.79  27764588
           1       0.79      0.21      0.33  17098553

    accuracy                           0.68  44863141
   macro avg       0.73      0.59      0.56  44863141
weighted avg       0.71      0.68      0.61  44863141

Accuracy: 0.6781949351250284
1-10%
              precision    recall  f1-score   support

           0       0.08      0.16      0.11    287564
           1       0.94      0.88      0.91   4164787

    accuracy                           0.83   4452351
   macro avg       0.51      0.52      0.51   4452351
weighted avg       0.88      0.83      0.86   4452351

Accuracy: 0.833451585465746
10-20%
              precision    recall  f1-score   support

           0       0.01      0.08      0.02      2455
           1       0.99      0.94      0.97    257616

    accuracy                           0.94    260071
   macro avg       0.50      0.51      0.50    260071
weighted avg       0.98      0.94      0.96    260071

Accuracy: 0.9368441694767967
20-40%
              precision    recall  f1-score   support

           0       0.01      0.09      0.02       659
           1       1.00      0.95      0.97    130568

    accuracy                           0.94    131227
   macro avg       0.50      0.52      0.49    131227
weighted avg       0.99      0.94      0.97    131227

Accuracy: 0.9447674640127413
40-80%
              precision    recall  f1-score   support

           0       0.01      0.15      0.01       169
           1       1.00      0.95      0.97     65234

    accuracy                           0.95     65403
   macro avg       0.50      0.55      0.49     65403
weighted avg       1.00      0.95      0.97     65403

Accuracy: 0.9471889668669633
80-90%
              precision    recall  f1-score   support

           0       0.01      0.13      0.01        15
           1       1.00      0.95      0.97      7371

    accuracy                           0.95      7386
   macro avg       0.50      0.54      0.49      7386
weighted avg       1.00      0.95      0.97      7386

Accuracy: 0.9505821825074465
90-100%
              precision    recall  f1-score   support

           0       0.02      0.28      0.03        18
           1       1.00      0.95      0.97      5686

    accuracy                           0.95      5704
   macro avg       0.51      0.61      0.50      5704
weighted avg       0.99      0.95      0.97      5704

Accuracy: 0.9481065918653576

0.1

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.82      0.02      0.03  21615229

    accuracy                           0.55  47734596
   macro avg       0.68      0.51      0.37  47734596
weighted avg       0.67      0.55      0.40  47734596

Accuracy: 0.5529226014607938
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.46      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.71      0.50      0.49  12561431
weighted avg       0.94      0.96      0.94  12561431

Accuracy: 0.9595244363480562
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.71      0.01      0.02  14466820

    accuracy                           0.48  27835287
   macro avg       0.60      0.50      0.33  27835287
weighted avg       0.60      0.48      0.32  27835287

Accuracy: 0.4835334013261656
10-20%
              precision    recall  f1-score   support

           0       0.13      0.98      0.23    503365
           1       0.88      0.03      0.05   3387274

    accuracy                           0.15   3890639
   macro avg       0.51      0.50      0.14   3890639
weighted avg       0.78      0.15      0.08   3890639

Accuracy: 0.14965665023149155
20-40%
              precision    recall  f1-score   support

           0       0.07      0.97      0.13    147488
           1       0.94      0.03      0.06   1970425

    accuracy                           0.10   2117913
   macro avg       0.50      0.50      0.10   2117913
weighted avg       0.88      0.10      0.07   2117913

Accuracy: 0.09791384254216297
40-80%
              precision    recall  f1-score   support

           0       0.04      0.97      0.07     41616
           1       0.97      0.04      0.07   1064279

    accuracy                           0.07   1105895
   macro avg       0.50      0.50      0.07   1105895
weighted avg       0.93      0.07      0.07   1105895

Accuracy: 0.07080057329131609
80-90%
              precision    recall  f1-score   support

           0       0.03      0.97      0.05      3093
           1       0.98      0.04      0.07    120943

    accuracy                           0.06    124036
   macro avg       0.50      0.50      0.06    124036
weighted avg       0.96      0.06      0.07    124036

Accuracy: 0.06039375665129479
90-100%
              precision    recall  f1-score   support

           0       0.02      0.97      0.05      2328
           1       0.98      0.04      0.07     97067

    accuracy                           0.06     99395
   macro avg       0.50      0.50      0.06     99395
weighted avg       0.96      0.06      0.07     99395

Accuracy: 0.05859449670506565

0.2

Treshold: 0.8

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
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       0.68      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       0.27      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       0.16      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       0.09      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: 0.8

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
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

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

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      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
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
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_8_decay_rtime_w_0_5

0.01

Treshold: 0.8

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
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
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       0.01      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
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: 0.8

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
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      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       0.13      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       0.07      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       0.04      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: 0.8

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
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       0.68      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       0.27      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       0.16      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       0.09      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: 0.8

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
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

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

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      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
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
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_8_decay_rtime_w_0_75

0.01

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.98      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.77      0.50      0.36  49785283
weighted avg       0.75      0.56      0.41  49785283

Accuracy: 0.563574460348051
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.72      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.67      0.50      0.38  44863141
weighted avg       0.66      0.62      0.47  44863141

Accuracy: 0.6188733419267278
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.98      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.52      0.50      0.06   4452351
weighted avg       0.92      0.06      0.01   4452351

Accuracy: 0.0648529282619452
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.99      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.50      0.50      0.01    260071
weighted avg       0.98      0.01      0.00    260071

Accuracy: 0.011458409434346775
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.99      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.50      0.50      0.01    131227
weighted avg       0.99      0.01      0.00    131227

Accuracy: 0.007269845382428921
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       1.00      0.00      0.01     65234

    accuracy                           0.01     65403
   macro avg       0.50      0.50      0.01     65403
weighted avg       1.00      0.01      0.01     65403

Accuracy: 0.005443175389508127
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       1.00      0.00      0.01      7371

    accuracy                           0.01      7386
   macro avg       0.50      0.50      0.01      7386
weighted avg       1.00      0.01      0.01      7386

Accuracy: 0.005415651232060655
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       1.00      0.00      0.01      5686

    accuracy                           0.01      5704
   macro avg       0.50      0.50      0.01      5704
weighted avg       1.00      0.01      0.01      5704

Accuracy: 0.005960729312762973

0.1

Treshold: 0.8

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
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      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       0.13      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       0.07      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       0.04      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: 0.8

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
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       0.68      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       0.27      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       0.16      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       0.09      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: 0.8

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
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

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

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      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
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
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_8_decay_vtime

0.01

Treshold: 0.8

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
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
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       0.01      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
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: 0.8

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
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      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       0.13      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       0.07      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       0.04      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: 0.8

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
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       0.68      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       0.27      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       0.16      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       0.09      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: 0.8

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
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

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

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      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
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
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_8_decay_vtime_w_0_5

0.01

Treshold: 0.8

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
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
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       0.01      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
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: 0.8

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
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      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       0.13      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       0.07      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       0.04      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: 0.8

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
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       0.68      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       0.27      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       0.16      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       0.09      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: 0.8

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
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

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

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      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
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
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_8_decay_vtime_w_0_75

0.01

Treshold: 0.8

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
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
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       0.01      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
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: 0.8

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
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      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       0.13      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       0.07      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       0.04      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: 0.8

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
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       0.68      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       0.27      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       0.16      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       0.09      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: 0.8

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
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

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

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      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
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
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_9_decay_rtime

0.01

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.66      0.96      0.78  28055468
           1       0.87      0.36      0.50  21729815

    accuracy                           0.70  49785283
   macro avg       0.76      0.66      0.64  49785283
weighted avg       0.75      0.70      0.66  49785283

Accuracy: 0.6952265993948452
0-1%
              precision    recall  f1-score   support

           0       0.66      0.97      0.79  27764588
           1       0.80      0.21      0.33  17098553

    accuracy                           0.68  44863141
   macro avg       0.73      0.59      0.56  44863141
weighted avg       0.71      0.68      0.61  44863141

Accuracy: 0.6779228409352791
1-10%
              precision    recall  f1-score   support

           0       0.08      0.15      0.11    287564
           1       0.94      0.89      0.91   4164787

    accuracy                           0.84   4452351
   macro avg       0.51      0.52      0.51   4452351
weighted avg       0.88      0.84      0.86   4452351

Accuracy: 0.8425939464341423
10-20%
              precision    recall  f1-score   support

           0       0.02      0.07      0.03      2455
           1       0.99      0.96      0.97    257616

    accuracy                           0.95    260071
   macro avg       0.50      0.51      0.50    260071
weighted avg       0.98      0.95      0.96    260071

Accuracy: 0.9470183142295757
20-40%
              precision    recall  f1-score   support

           0       0.01      0.08      0.02       659
           1       1.00      0.96      0.98    130568

    accuracy                           0.95    131227
   macro avg       0.50      0.52      0.50    131227
weighted avg       0.99      0.95      0.97    131227

Accuracy: 0.954795888041333
40-80%
              precision    recall  f1-score   support

           0       0.01      0.14      0.02       169
           1       1.00      0.96      0.98     65234

    accuracy                           0.96     65403
   macro avg       0.50      0.55      0.50     65403
weighted avg       1.00      0.96      0.98     65403

Accuracy: 0.9576472027277037
80-90%
              precision    recall  f1-score   support

           0       0.01      0.13      0.01        15
           1       1.00      0.96      0.98      7371

    accuracy                           0.96      7386
   macro avg       0.50      0.55      0.50      7386
weighted avg       1.00      0.96      0.98      7386

Accuracy: 0.9601949634443542
90-100%
              precision    recall  f1-score   support

           0       0.02      0.22      0.03        18
           1       1.00      0.96      0.98      5686

    accuracy                           0.96      5704
   macro avg       0.51      0.59      0.51      5704
weighted avg       0.99      0.96      0.98      5704

Accuracy: 0.9588008415147266

0.1

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.81      0.02      0.04  21615229

    accuracy                           0.55  47734596
   macro avg       0.68      0.51      0.38  47734596
weighted avg       0.67      0.55      0.41  47734596

Accuracy: 0.5548408118924899
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.40      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.68      0.50      0.49  12561431
weighted avg       0.94      0.96      0.94  12561431

Accuracy: 0.9595222073026553
1-10%
              precision    recall  f1-score   support

           0       0.48      0.99      0.65  13368467
           1       0.71      0.01      0.03  14466820

    accuracy                           0.48  27835287
   macro avg       0.59      0.50      0.34  27835287
weighted avg       0.60      0.48      0.33  27835287

Accuracy: 0.48464120380723935
10-20%
              precision    recall  f1-score   support

           0       0.13      0.97      0.23    503365
           1       0.88      0.04      0.07   3387274

    accuracy                           0.16   3890639
   macro avg       0.51      0.50      0.15   3890639
weighted avg       0.78      0.16      0.09   3890639

Accuracy: 0.15661463322605876
20-40%
              precision    recall  f1-score   support

           0       0.07      0.96      0.13    147488
           1       0.94      0.04      0.08   1970425

    accuracy                           0.11   2117913
   macro avg       0.50      0.50      0.11   2117913
weighted avg       0.88      0.11      0.09   2117913

Accuracy: 0.1071672915742998
40-80%
              precision    recall  f1-score   support

           0       0.04      0.96      0.07     41616
           1       0.97      0.05      0.09   1064279

    accuracy                           0.08   1105895
   macro avg       0.50      0.50      0.08   1105895
weighted avg       0.93      0.08      0.09   1105895

Accuracy: 0.08127173013712875
80-90%
              precision    recall  f1-score   support

           0       0.03      0.96      0.05      3093
           1       0.98      0.05      0.09    120943

    accuracy                           0.07    124036
   macro avg       0.50      0.50      0.07    124036
weighted avg       0.96      0.07      0.09    124036

Accuracy: 0.07212422200006449
90-100%
              precision    recall  f1-score   support

           0       0.02      0.96      0.05      2328
           1       0.98      0.05      0.09     97067

    accuracy                           0.07     99395
   macro avg       0.50      0.50      0.07     99395
weighted avg       0.96      0.07      0.09     99395

Accuracy: 0.06918859097540117

0.2

Treshold: 0.8

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: 0.5476166910941244
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       0.68      1.00      0.81  16949103
           1       0.10      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.39      0.50      0.40  24965875
weighted avg       0.49      0.68      0.55  24965875

Accuracy: 0.6788771873607474
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.20      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.24      0.50      0.21   7518650
weighted avg       0.22      0.27      0.12   7518650

Accuracy: 0.27363861863499434
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.11      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.13      0.50      0.13   4805513
weighted avg       0.12      0.16      0.04   4805513

Accuracy: 0.15500634375559905
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.05      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.07      0.50      0.08   2719684
weighted avg       0.05      0.09      0.01   2719684

Accuracy: 0.08672110436359519
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: 0.05888713774262801
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.11      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.08      0.50      0.05    253829
weighted avg       0.11      0.05      0.01    253829

Accuracy: 0.05363059382497666

0.4

Treshold: 0.8

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
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

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

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      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
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
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_9_decay_rtime_w_0_5

0.01

Treshold: 0.8

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
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
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       0.01      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
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: 0.8

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
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      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       0.13      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       0.07      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       0.04      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: 0.8

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
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       0.68      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       0.27      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       0.16      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       0.09      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: 0.8

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
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

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

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      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
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
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_9_decay_rtime_w_0_75

0.01

Treshold: 0.8

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
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
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       0.01      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
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: 0.8

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
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      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       0.13      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       0.07      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       0.04      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: 0.8

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
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       0.68      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       0.27      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       0.16      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       0.09      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: 0.8

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
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

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

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      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
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
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_9_decay_vtime

0.01

Treshold: 0.8

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
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
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       0.01      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
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: 0.8

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
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      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       0.13      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       0.07      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       0.04      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: 0.8

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
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       0.68      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       0.27      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       0.16      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       0.09      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: 0.8

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
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

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

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      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
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
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_9_decay_vtime_w_0_5

0.01

Treshold: 0.8

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
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
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       0.01      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
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: 0.8

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
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      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       0.13      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       0.07      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       0.04      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: 0.8

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
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       0.68      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       0.27      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       0.16      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       0.09      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: 0.8

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
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

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

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      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
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
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_9_decay_vtime_w_0_75

0.01

Treshold: 0.8

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
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
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       0.01      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
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: 0.8

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
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      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       0.13      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       0.07      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       0.04      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: 0.8

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
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       0.68      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       0.27      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       0.16      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       0.09      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: 0.8

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
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

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

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      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
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
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

0.01

Treshold: 0.8

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
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
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       0.01      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
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: 0.8

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
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      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       0.13      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       0.07      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       0.04      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: 0.8

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
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       0.68      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       0.27      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       0.16      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       0.09      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: 0.8

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
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

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

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      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
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
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_5

0.01

Treshold: 0.8

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
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
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       0.01      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
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: 0.8

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
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      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       0.13      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       0.07      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       0.04      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: 0.8

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
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       0.68      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       0.27      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       0.16      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       0.09      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: 0.8

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
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

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

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      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
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
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: 0.8

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
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
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       0.01      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
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: 0.8

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
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      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       0.13      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       0.07      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       0.04      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: 0.8

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
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       0.68      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       0.27      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       0.16      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       0.09      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: 0.8

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
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

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

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      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
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
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: 0.8

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
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
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       0.01      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
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: 0.8

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
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      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       0.13      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       0.07      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       0.04      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: 0.8

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
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       0.68      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       0.27      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       0.16      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       0.09      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: 0.8

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
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

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

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      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
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
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_5

0.01

Treshold: 0.8

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
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
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       0.01      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
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: 0.8

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
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      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       0.13      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       0.07      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       0.04      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: 0.8

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
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       0.68      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       0.27      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       0.16      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       0.09      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: 0.8

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
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

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

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      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
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
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: 0.8

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
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
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       0.01      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
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: 0.8

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
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      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       0.13      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       0.07      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       0.04      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: 0.8

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
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       0.68      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       0.27      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       0.16      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       0.09      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: 0.8

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
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

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

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      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
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
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 RatioTrace 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_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 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_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.8] 10440919 0.405173../../result/log/zipf_1_15 0.01 1
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.8] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.8] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.8] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.8] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.8] 8731112 0.405191../../result/log/zipf_1_15 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.8] 8730451 0.405225../../result/log/zipf_1_15 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.8] 8737176 0.405235../../result/log/zipf_1_15 0.01 1

0.1

Model Promotion Miss RatioTrace 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_7_decay_rtime[cache_size=0.1,treshold=0.8] 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_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.8] 10273543 0.213817../../result/log/zipf_1_15 0.1 1
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.8] 10273433 0.213817../../result/log/zipf_1_15 0.1 1
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1

0.2

Model Promotion Miss RatioTrace 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[cache_size=0.2,treshold=0.8] 10000375 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_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.8] 10000097 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 10000414 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1

0.4

Model Promotion Miss RatioTrace 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_7_decay_rtime[cache_size=0.4,treshold=0.8] 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_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1

zipf_1_16

Ignore Obj Size

0.01

Model Promotion Miss RatioTrace 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_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 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_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.8] 10437581 0.405347../../result/log/zipf_1_16 0.01 1
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.8] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.8] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.8] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.8] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.8] 8726327 0.405386../../result/log/zipf_1_16 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.8] 8725868 0.40542 ../../result/log/zipf_1_16 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.8] 8732526 0.405431../../result/log/zipf_1_16 0.01 1

0.1

Model Promotion Miss RatioTrace 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_7_decay_rtime[cache_size=0.1,treshold=0.8] 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_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.8] 10274500 0.213983../../result/log/zipf_1_16 0.1 1
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1

0.2

Model Promotion Miss RatioTrace 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[cache_size=0.2,treshold=0.8] 10010485 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_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 10010513 0.152836../../result/log/zipf_1_16 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.8] 10010226 0.152837../../result/log/zipf_1_16 0.2 1

0.4

Model Promotion Miss RatioTrace 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_7_decay_rtime[cache_size=0.4,treshold=0.8] 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_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1

zipf_1_17

Ignore Obj Size

0.01

Model Promotion Miss RatioTrace 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_rtime_w_0_5[cache_size=0.01,treshold=0.8] 10439561 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_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.8] 10439514 0.405242../../result/log/zipf_1_17 0.01 1
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.8] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.8] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.8] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.8] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.8] 8728082 0.405269../../result/log/zipf_1_17 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.8] 8726886 0.405304../../result/log/zipf_1_17 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.8] 8733354 0.405315../../result/log/zipf_1_17 0.01 1

0.1

Model Promotion Miss RatioTrace 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_7_decay_rtime[cache_size=0.1,treshold=0.8] 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_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.8] 10272629 0.213852../../result/log/zipf_1_17 0.1 1
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.8] 10272511 0.213852../../result/log/zipf_1_17 0.1 1
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1

0.2

Model Promotion Miss RatioTrace 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[cache_size=0.2,treshold=0.8] 10002858 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_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 10002876 0.152785../../result/log/zipf_1_17 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.8] 10002553 0.152786../../result/log/zipf_1_17 0.2 1

0.4

Model Promotion Miss RatioTrace 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_7_decay_rtime[cache_size=0.4,treshold=0.8] 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_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1

zipf_1_18

Ignore Obj Size

0.01

Model Promotion Miss RatioTrace 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_rtime_w_0_5[cache_size=0.01,treshold=0.8] 10439737 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_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.8] 10439702 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.8] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.8] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.8] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.8] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.8] 8729644 0.405207../../result/log/zipf_1_18 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.8] 8728768 0.405242../../result/log/zipf_1_18 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.8] 8735480 0.405254../../result/log/zipf_1_18 0.01 1

0.1

Model Promotion Miss RatioTrace 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_7_decay_rtime[cache_size=0.1,treshold=0.8] 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_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.8] 10268390 0.213821../../result/log/zipf_1_18 0.1 1
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.8] 10268275 0.213821../../result/log/zipf_1_18 0.1 1
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1

0.2

Model Promotion Miss RatioTrace 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[cache_size=0.2,treshold=0.8] 10001051 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_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 10001079 0.152706../../result/log/zipf_1_18 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.8] 10000770 0.152707../../result/log/zipf_1_18 0.2 1

0.4

Model Promotion Miss RatioTrace 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_7_decay_rtime[cache_size=0.4,treshold=0.8] 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_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1

zipf_1_19

Ignore Obj Size

0.01

Model Promotion Miss RatioTrace 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_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 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_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.8] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.8] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.8] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.8] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.8] 10442755 0.405257../../result/log/zipf_1_19 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.8] 8731810 0.405258../../result/log/zipf_1_19 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.8] 8730846 0.405291../../result/log/zipf_1_19 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.8] 8737350 0.405305../../result/log/zipf_1_19 0.01 1

0.1

Model Promotion Miss RatioTrace 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_7_decay_rtime[cache_size=0.1,treshold=0.8] 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_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.8] 10270641 0.213882../../result/log/zipf_1_19 0.1 1
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.8] 10270565 0.213882../../result/log/zipf_1_19 0.1 1
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1

0.2

Model Promotion Miss RatioTrace 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_7_decay_rtime[cache_size=0.2,treshold=0.8] 10003444 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_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 10003474 0.152791../../result/log/zipf_1_19 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.8] 10003230 0.152792../../result/log/zipf_1_19 0.2 1

0.4

Model Promotion Miss RatioTrace 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_7_decay_rtime[cache_size=0.4,treshold=0.8] 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_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1