Zipf1 Weighted Models with Treshold 0.8 Test Data Result Obj Size Ignored
Result
Model Summaries
| Model | Better than base % of the times |
|---|
| LR_7[cache_size=0.01,treshold=0.8] | 100 |
| 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_7_w_0_5[cache_size=0.01,treshold=0.8] | 100 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.8] | 100 |
| LR_8[cache_size=0.01,treshold=0.8] | 100 |
| 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[cache_size=0.01,treshold=0.8] | 100 |
| 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[cache_size=0.1,treshold=0.8] | 100 |
| 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_7_w_0_5[cache_size=0.1,treshold=0.8] | 0 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.8] | 0 |
| LR_8[cache_size=0.1,treshold=0.8] | 100 |
| 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[cache_size=0.1,treshold=0.8] | 100 |
| 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[cache_size=0.2,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_7_w_0_5[cache_size=0.2,treshold=0.8] | 0 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.8] | 0 |
| LR_8[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[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[cache_size=0.4,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_7_w_0_5[cache_size=0.4,treshold=0.8] | 0 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.8] | 0 |
| LR_8[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[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 |
| Model | Max | Min | Avg | Mdn |
|---|
| LR_7[cache_size=0.01,treshold=0.8] | 6.88137 | 6.86902 | 6.87683 | 6.879 |
| 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_7_w_0_5[cache_size=0.01,treshold=0.8] | 1.27474 | 1.26928 | 1.27208 | 1.27255 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.8] | 2.26341 | 2.25372 | 2.25761 | 2.2573 |
| LR_8[cache_size=0.01,treshold=0.8] | 6.72185 | 6.70669 | 6.71479 | 6.71621 |
| 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[cache_size=0.01,treshold=0.8] | 6.40022 | 6.38711 | 6.39412 | 6.39562 |
| 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[cache_size=0.1,treshold=0.8] | 5.21053 | 5.17244 | 5.18877 | 5.18922 |
| 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_7_w_0_5[cache_size=0.1,treshold=0.8] | 0.000953906 | 0.000905494 | 0.00092874 | 0.000925169 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.8] | 0.00169452 | 0.00140205 | 0.00154402 | 0.00148926 |
| LR_8[cache_size=0.1,treshold=0.8] | 5.23996 | 5.20562 | 5.2224 | 5.22281 |
| 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[cache_size=0.1,treshold=0.8] | 5.12955 | 5.09796 | 5.10997 | 5.11123 |
| 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[cache_size=0.2,treshold=0.8] | 4.69871 | 4.62173 | 4.65984 | 4.66176 |
| 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_7_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8[cache_size=0.2,treshold=0.8] | 4.83334 | 4.74239 | 4.79185 | 4.79728 |
| 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[cache_size=0.2,treshold=0.8] | 4.70314 | 4.62542 | 4.6636 | 4.66471 |
| 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[cache_size=0.4,treshold=0.8] | 6.85173 | 6.80302 | 6.83317 | 6.84329 |
| 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_7_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8[cache_size=0.4,treshold=0.8] | 6.8552 | 6.80659 | 6.83671 | 6.84693 |
| 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[cache_size=0.4,treshold=0.8] | 6.845 | 6.79686 | 6.82601 | 6.83324 |
| 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[cache_size=0.01,treshold=0.8] | 0.0698421 | 0.0666382 | 0.0684527 | 0.0693389 |
| 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_7_w_0_5[cache_size=0.01,treshold=0.8] | 0.0333134 | 0.0313446 | 0.0323756 | 0.0320785 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.8] | 0.0540474 | 0.0518297 | 0.0531039 | 0.0530529 |
| LR_8[cache_size=0.01,treshold=0.8] | 0.0767522 | 0.0742574 | 0.0754115 | 0.0752611 |
| 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[cache_size=0.01,treshold=0.8] | 0.0846408 | 0.0816584 | 0.0833573 | 0.0836508 |
| 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[cache_size=0.1,treshold=0.8] | 0.107101 | 0.100055 | 0.104549 | 0.104761 |
| 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_7_w_0_5[cache_size=0.1,treshold=0.8] | -0.000467327 | -0.00046769 | -0.000467572 | -0.000467613 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.8] | -0.000467327 | -0.00046769 | -0.000467572 | -0.000467613 |
| LR_8[cache_size=0.1,treshold=0.8] | 0.106633 | 0.100055 | 0.104268 | 0.104761 |
| 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[cache_size=0.1,treshold=0.8] | 0.10842 | 0.101458 | 0.105765 | 0.106164 |
| 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[cache_size=0.2,treshold=0.8] | -0.00981444 | -0.0124422 | -0.0117823 | -0.0124353 |
| 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_7_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8[cache_size=0.2,treshold=0.8] | -0.011123 | -0.0130933 | -0.012175 | -0.0124358 |
| 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[cache_size=0.2,treshold=0.8] | -0.0104687 | -0.0130971 | -0.0124369 | -0.0130898 |
| 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[cache_size=0.4,treshold=0.8] | -0.134606 | -0.159964 | -0.150485 | -0.157828 |
| 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_7_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8[cache_size=0.4,treshold=0.8] | -0.134829 | -0.159852 | -0.150596 | -0.158051 |
| 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[cache_size=0.4,treshold=0.8] | -0.13416 | -0.159964 | -0.150239 | -0.157605 |
| 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 (%)
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_9[cache_size=0.1,treshold=0.8] | 5.10997 | 0.105765 |
| LR_7[cache_size=0.1,treshold=0.8] | 5.18877 | 0.104549 |
| LR_8[cache_size=0.1,treshold=0.8] | 5.2224 | 0.104268 |
| LR_9[cache_size=0.01,treshold=0.8] | 6.39412 | 0.0833573 |
| LR_8[cache_size=0.01,treshold=0.8] | 6.71479 | 0.0754115 |
| LR_7[cache_size=0.01,treshold=0.8] | 6.87683 | 0.0684527 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.8] | 2.25761 | 0.0531039 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.8] | 1.27208 | 0.0323756 |
| 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=0.4,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_rtime_w_0_75[cache_size=0.2,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[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=0.01,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[cache_size=0.2,treshold=0.8] | 0.000315886 | 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_rtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.4,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_5[cache_size=0.4,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=0.01,treshold=0.8] | 0 | 0 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_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[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_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_rtime_w_0_75[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_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_vtime_w_0_75[cache_size=0.2,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=0.4,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_5[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime[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_5[cache_size=0.01,treshold=0.8] | 0 | 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_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_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_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.8] | 0.00100663 | 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=0.1,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_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_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_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_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_vtime_w_0_75[cache_size=0.01,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=0.01,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_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_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 |
| LR_decay_vtime_w_0_75[cache_size=0.2,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 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.8] | 0.000427203 | -4.93515e-05 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.8] | 0.00092874 | -0.000467572 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.8] | 0.00154402 | -0.000467572 |
| 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_7[cache_size=0.2,treshold=0.8] | 4.65984 | -0.0117823 |
| LR_8[cache_size=0.2,treshold=0.8] | 4.79185 | -0.012175 |
| LR_9[cache_size=0.2,treshold=0.8] | 4.6636 | -0.0124369 |
| 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 |
| LR_9[cache_size=0.4,treshold=0.8] | 6.82601 | -0.150239 |
| LR_7[cache_size=0.4,treshold=0.8] | 6.83317 | -0.150485 |
| LR_8[cache_size=0.4,treshold=0.8] | 6.83671 | -0.150596 |
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_9[cache_size=0.01,treshold=0.8] | 6.39412 | 0.0833573 |
| LR_8[cache_size=0.01,treshold=0.8] | 6.71479 | 0.0754115 |
| LR_7[cache_size=0.01,treshold=0.8] | 6.87683 | 0.0684527 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.8] | 2.25761 | 0.0531039 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.8] | 1.27208 | 0.0323756 |
| LR_7_decay_vtime_w_0_75[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[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_rtime_w_0_75[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_vtime_w_0_5[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_rtime_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_9[cache_size=0.1,treshold=0.8] | 5.10997 | 0.105765 |
| LR_7[cache_size=0.1,treshold=0.8] | 5.18877 | 0.104549 |
| LR_8[cache_size=0.1,treshold=0.8] | 5.2224 | 0.104268 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.8] | 1.55786e-05 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime[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_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_8_decay_vtime_w_0_75[cache_size=0.1,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_75[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_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_8_decay_vtime[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_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 |
| 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 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.8] | 0.00154402 | -0.000467572 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.8] | 0.00092874 | -0.000467572 |
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_rtime_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_7_decay_vtime_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_7_decay_vtime[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_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_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_7_w_0_75[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_vtime[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_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_decay_rtime[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_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,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 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.8] | 0.00298893 | -0.000523631 |
| LR_7[cache_size=0.2,treshold=0.8] | 4.65984 | -0.0117823 |
| LR_8[cache_size=0.2,treshold=0.8] | 4.79185 | -0.012175 |
| LR_9[cache_size=0.2,treshold=0.8] | 4.6636 | -0.0124369 |
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_rtime_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_7_decay_vtime_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_7_decay_vtime[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_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_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_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_rtime[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_rtime_w_0_5[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_9_decay_vtime_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_9_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_vtime[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_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_9[cache_size=0.4,treshold=0.8] | 6.82601 | -0.150239 |
| LR_7[cache_size=0.4,treshold=0.8] | 6.83317 | -0.150485 |
| LR_8[cache_size=0.4,treshold=0.8] | 6.83671 | -0.150596 |
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_9[cache_size=0.1,treshold=0.8] | 5.11123 | 0.106164 |
| LR_8[cache_size=0.1,treshold=0.8] | 5.22281 | 0.104761 |
| LR_7[cache_size=0.1,treshold=0.8] | 5.18922 | 0.104761 |
| LR_9[cache_size=0.01,treshold=0.8] | 6.39562 | 0.0836508 |
| LR_8[cache_size=0.01,treshold=0.8] | 6.71621 | 0.0752611 |
| LR_7[cache_size=0.01,treshold=0.8] | 6.879 | 0.0693389 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.8] | 2.2573 | 0.0530529 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.8] | 1.27255 | 0.0320785 |
| 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=0.4,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_rtime_w_0_75[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[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[cache_size=0.2,treshold=0.8] | 0.000319889 | 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_rtime_w_0_75[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_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 2.99968e-05 | 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=0.1,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_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[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_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_rtime_w_0_75[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_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_5[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=0.4,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_5[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime[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_5[cache_size=0.01,treshold=0.8] | 0 | 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_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_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_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,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_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,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_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_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_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_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_vtime_w_0_75[cache_size=0.01,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=0.01,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_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_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 |
| 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 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.8] | 0.000925169 | -0.000467613 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.8] | 0.00148926 | -0.000467613 |
| 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_7[cache_size=0.2,treshold=0.8] | 4.66176 | -0.0124353 |
| LR_8[cache_size=0.2,treshold=0.8] | 4.79728 | -0.0124358 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.8] | 16.3936 | -0.012834 |
| LR_9[cache_size=0.2,treshold=0.8] | 4.66471 | -0.0130898 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.8] | 16.3313 | -0.0153021 |
| LR_9[cache_size=0.4,treshold=0.8] | 6.83324 | -0.157605 |
| LR_7[cache_size=0.4,treshold=0.8] | 6.84329 | -0.157828 |
| LR_8[cache_size=0.4,treshold=0.8] | 6.84693 | -0.158051 |
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_9[cache_size=0.01,treshold=0.8] | 6.39562 | 0.0836508 |
| LR_8[cache_size=0.01,treshold=0.8] | 6.71621 | 0.0752611 |
| LR_7[cache_size=0.01,treshold=0.8] | 6.879 | 0.0693389 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.8] | 2.2573 | 0.0530529 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.8] | 1.27255 | 0.0320785 |
| LR_7_decay_vtime_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_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_rtime_w_0_75[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_vtime[cache_size=0.01,treshold=0.8] | 0.000430919 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime_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_8_decay_vtime[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_9[cache_size=0.1,treshold=0.8] | 5.11123 | 0.106164 |
| LR_7[cache_size=0.1,treshold=0.8] | 5.18922 | 0.104761 |
| LR_8[cache_size=0.1,treshold=0.8] | 5.22281 | 0.104761 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.8] | 9.73649e-06 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime[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_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_8_decay_vtime_w_0_75[cache_size=0.1,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_75[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_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_8_decay_vtime[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_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 |
| 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 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.8] | 0.00148926 | -0.000467613 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.8] | 0.000925169 | -0.000467613 |
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_rtime_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_7_decay_vtime_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_7_decay_vtime[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_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_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_7_w_0_75[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_vtime[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_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_decay_rtime[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_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,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 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.8] | 0.00311966 | -0.000654489 |
| LR_7[cache_size=0.2,treshold=0.8] | 4.66176 | -0.0124353 |
| LR_8[cache_size=0.2,treshold=0.8] | 4.79728 | -0.0124358 |
| LR_9[cache_size=0.2,treshold=0.8] | 4.66471 | -0.0130898 |
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_rtime_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_7_decay_vtime_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_7_decay_vtime[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_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_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_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_rtime[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_rtime_w_0_5[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_9_decay_vtime_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_9_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_vtime[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_75[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_9[cache_size=0.4,treshold=0.8] | 6.83324 | -0.157605 |
| LR_7[cache_size=0.4,treshold=0.8] | 6.84329 | -0.157828 |
| LR_8[cache_size=0.4,treshold=0.8] | 6.84693 | -0.158051 |
Model Classification Report
LR_7
0.01
Treshold: 0.8
All
precision recall f1-score support
0 0.60 0.99 0.75 28055468
1 0.90 0.16 0.27 21729815
accuracy 0.62 49785283
macro avg 0.75 0.57 0.51 49785283
weighted avg 0.73 0.62 0.54 49785283
Accuracy: 0.623849602301146
0-1%
precision recall f1-score support
0 0.63 0.99 0.77 27764588
1 0.78 0.05 0.10 17098553
accuracy 0.63 44863141
macro avg 0.70 0.52 0.43 44863141
weighted avg 0.69 0.63 0.51 44863141
Accuracy: 0.6327755785088699
1-10%
precision recall f1-score support
0 0.07 0.56 0.13 287564
1 0.94 0.52 0.67 4164787
accuracy 0.53 4452351
macro avg 0.51 0.54 0.40 4452351
weighted avg 0.89 0.53 0.64 4452351
Accuracy: 0.5269303790289669
10-20%
precision recall f1-score support
0 0.01 0.24 0.02 2455
1 0.99 0.76 0.86 257616
accuracy 0.76 260071
macro avg 0.50 0.50 0.44 260071
weighted avg 0.98 0.76 0.85 260071
Accuracy: 0.7580468410549427
20-40%
precision recall f1-score support
0 0.01 0.36 0.01 659
1 1.00 0.67 0.80 130568
accuracy 0.66 131227
macro avg 0.50 0.51 0.40 131227
weighted avg 0.99 0.66 0.79 131227
Accuracy: 0.6645354995542075
40-80%
precision recall f1-score support
0 0.00 0.51 0.01 169
1 1.00 0.52 0.69 65234
accuracy 0.52 65403
macro avg 0.50 0.52 0.35 65403
weighted avg 0.99 0.52 0.68 65403
Accuracy: 0.5224072290261914
80-90%
precision recall f1-score support
0 0.00 0.47 0.00 15
1 1.00 0.43 0.60 7371
accuracy 0.43 7386
macro avg 0.50 0.45 0.30 7386
weighted avg 1.00 0.43 0.60 7386
Accuracy: 0.4309504467912266
90-100%
precision recall f1-score support
0 0.00 0.56 0.01 18
1 1.00 0.43 0.60 5686
accuracy 0.43 5704
macro avg 0.50 0.49 0.30 5704
weighted avg 0.99 0.43 0.60 5704
Accuracy: 0.42934782608695654
0.1
Treshold: 0.8
All
precision recall f1-score support
0 0.58 0.98 0.73 26119367
1 0.85 0.15 0.26 21615229
accuracy 0.60 47734596
macro avg 0.72 0.56 0.49 47734596
weighted avg 0.70 0.60 0.52 47734596
Accuracy: 0.6038039161366318
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.25 0.01 0.02 508421
accuracy 0.96 12561431
macro avg 0.60 0.50 0.50 12561431
weighted avg 0.93 0.96 0.94 12561431
Accuracy: 0.9588727590033334
1-10%
precision recall f1-score support
0 0.49 0.97 0.65 13368467
1 0.72 0.07 0.12 14466820
accuracy 0.50 27835287
macro avg 0.60 0.52 0.39 27835287
weighted avg 0.61 0.50 0.38 27835287
Accuracy: 0.501558687000425
10-20%
precision recall f1-score support
0 0.14 0.77 0.23 503365
1 0.89 0.27 0.41 3387274
accuracy 0.33 3890639
macro avg 0.51 0.52 0.32 3890639
weighted avg 0.79 0.33 0.39 3890639
Accuracy: 0.33381920039356006
20-40%
precision recall f1-score support
0 0.07 0.63 0.13 147488
1 0.94 0.41 0.57 1970425
accuracy 0.43 2117913
macro avg 0.51 0.52 0.35 2117913
weighted avg 0.88 0.43 0.54 2117913
Accuracy: 0.4275987729429868
40-80%
precision recall f1-score support
0 0.04 0.59 0.08 41616
1 0.97 0.46 0.62 1064279
accuracy 0.46 1105895
macro avg 0.50 0.52 0.35 1105895
weighted avg 0.93 0.46 0.60 1105895
Accuracy: 0.4609424945406209
80-90%
precision recall f1-score support
0 0.03 0.60 0.05 3093
1 0.98 0.46 0.62 120943
accuracy 0.46 124036
macro avg 0.50 0.53 0.34 124036
weighted avg 0.95 0.46 0.61 124036
Accuracy: 0.45997936083072655
90-100%
precision recall f1-score support
0 0.02 0.57 0.05 2328
1 0.98 0.45 0.62 97067
accuracy 0.46 99395
macro avg 0.50 0.51 0.33 99395
weighted avg 0.96 0.46 0.61 99395
Accuracy: 0.4557271492529805
0.2
Treshold: 0.8
All
precision recall f1-score support
0 0.59 0.97 0.73 24893266
1 0.83 0.17 0.28 20563095
accuracy 0.61 45456361
macro avg 0.71 0.57 0.51 45456361
weighted avg 0.69 0.61 0.53 45456361
Accuracy: 0.6077220083675418
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.05 0.00 0.01 3872
accuracy 1.00 4877461
macro avg 0.52 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9991612439340878
1-10%
precision recall f1-score support
0 0.69 0.98 0.81 16949103
1 0.62 0.06 0.11 8016772
accuracy 0.69 24965875
macro avg 0.65 0.52 0.46 24965875
weighted avg 0.67 0.69 0.59 24965875
Accuracy: 0.6862760468038873
10-20%
precision recall f1-score support
0 0.28 0.90 0.43 2057494
1 0.79 0.15 0.25 5461156
accuracy 0.35 7518650
macro avg 0.54 0.52 0.34 7518650
weighted avg 0.66 0.35 0.30 7518650
Accuracy: 0.3530327917910795
20-40%
precision recall f1-score support
0 0.17 0.81 0.28 744974
1 0.88 0.26 0.40 4060539
accuracy 0.34 4805513
macro avg 0.52 0.53 0.34 4805513
weighted avg 0.77 0.34 0.38 4805513
Accuracy: 0.3438069983371182
40-80%
precision recall f1-score support
0 0.10 0.72 0.17 235909
1 0.93 0.36 0.52 2483775
accuracy 0.39 2719684
macro avg 0.51 0.54 0.35 2719684
weighted avg 0.86 0.39 0.49 2719684
Accuracy: 0.39309125619005736
80-90%
precision recall f1-score support
0 0.07 0.68 0.12 18577
1 0.95 0.41 0.57 296772
accuracy 0.42 315349
macro avg 0.51 0.54 0.35 315349
weighted avg 0.90 0.42 0.54 315349
Accuracy: 0.42294410319994674
90-100%
precision recall f1-score support
0 0.06 0.67 0.11 13620
1 0.96 0.42 0.58 240209
accuracy 0.43 253829
macro avg 0.51 0.54 0.35 253829
weighted avg 0.91 0.43 0.55 253829
Accuracy: 0.4295056908391082
0.4
Treshold: 0.8
All
precision recall f1-score support
0 0.62 0.96 0.76 22531902
1 0.82 0.23 0.36 16938696
accuracy 0.65 39470598
macro avg 0.72 0.60 0.56 39470598
weighted avg 0.71 0.65 0.59 39470598
Accuracy: 0.6486970377291978
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 0.99 0.95 11439888
1 0.47 0.06 0.10 1271288
accuracy 0.90 12711176
macro avg 0.69 0.52 0.52 12711176
weighted avg 0.86 0.90 0.86 12711176
Accuracy: 0.8992394566796966
10-20%
precision recall f1-score support
0 0.59 0.95 0.73 5044441
1 0.68 0.13 0.22 3812372
accuracy 0.60 8856813
macro avg 0.64 0.54 0.48 8856813
weighted avg 0.63 0.60 0.51 8856813
Accuracy: 0.5995312309292293
20-40%
precision recall f1-score support
0 0.39 0.90 0.54 2995598
1 0.81 0.23 0.36 5583215
accuracy 0.47 8578813
macro avg 0.60 0.57 0.45 8578813
weighted avg 0.66 0.47 0.43 8578813
Accuracy: 0.4669942100381486
40-80%
precision recall f1-score support
0 0.24 0.84 0.38 1295061
1 0.89 0.32 0.47 5001564
accuracy 0.43 6296625
macro avg 0.56 0.58 0.42 6296625
weighted avg 0.75 0.43 0.45 6296625
Accuracy: 0.42776217418061263
80-90%
precision recall f1-score support
0 0.18 0.82 0.29 117971
1 0.92 0.35 0.50 692761
accuracy 0.42 810732
macro avg 0.55 0.58 0.40 810732
weighted avg 0.81 0.42 0.47 810732
Accuracy: 0.41582668502045067
90-100%
precision recall f1-score support
0 0.16 0.81 0.27 88944
1 0.92 0.36 0.51 577496
accuracy 0.42 666440
macro avg 0.54 0.58 0.39 666440
weighted avg 0.82 0.42 0.48 666440
Accuracy: 0.41608546905948024
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_7_w_0_5
0.01
Treshold: 0.8
All
precision recall f1-score support
0 0.57 1.00 0.73 28055468
1 0.95 0.03 0.06 21729815
accuracy 0.58 49785283
macro avg 0.76 0.51 0.39 49785283
weighted avg 0.74 0.58 0.43 49785283
Accuracy: 0.5754383077424708
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.50 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.56 0.50 0.38 44863141
weighted avg 0.57 0.62 0.47 44863141
Accuracy: 0.618872896126466
1-10%
precision recall f1-score support
0 0.07 0.93 0.13 287564
1 0.96 0.13 0.23 4164787
accuracy 0.18 4452351
macro avg 0.51 0.53 0.18 4452351
weighted avg 0.90 0.18 0.22 4452351
Accuracy: 0.17925136630063532
10-20%
precision recall f1-score support
0 0.01 0.70 0.02 2455
1 0.99 0.29 0.45 257616
accuracy 0.29 260071
macro avg 0.50 0.50 0.23 260071
weighted avg 0.98 0.29 0.44 260071
Accuracy: 0.29103975452857106
20-40%
precision recall f1-score support
0 0.00 0.92 0.01 659
1 0.99 0.07 0.13 130568
accuracy 0.07 131227
macro avg 0.50 0.49 0.07 131227
weighted avg 0.99 0.07 0.13 131227
Accuracy: 0.07416156736037553
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 1.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.50 0.50 0.00 65403
weighted avg 1.00 0.00 0.00 65403
Accuracy: 0.0035319480757763405
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: 0.54716734169071
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: 0.9594810495715018
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_w_0_75
0.01
Treshold: 0.8
All
precision recall f1-score support
0 0.58 1.00 0.73 28055468
1 0.95 0.05 0.10 21729815
accuracy 0.58 49785283
macro avg 0.76 0.52 0.41 49785283
weighted avg 0.74 0.58 0.45 49785283
Accuracy: 0.5848841915792665
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.74 0.00 0.01 17098553
accuracy 0.62 44863141
macro avg 0.68 0.50 0.39 44863141
weighted avg 0.67 0.62 0.48 44863141
Accuracy: 0.61957714908994
1-10%
precision recall f1-score support
0 0.07 0.85 0.13 287564
1 0.96 0.22 0.36 4164787
accuracy 0.26 4452351
macro avg 0.51 0.54 0.24 4452351
weighted avg 0.90 0.26 0.34 4452351
Accuracy: 0.2617493544421812
10-20%
precision recall f1-score support
0 0.01 0.52 0.02 2455
1 0.99 0.46 0.63 257616
accuracy 0.46 260071
macro avg 0.50 0.49 0.32 260071
weighted avg 0.98 0.46 0.63 260071
Accuracy: 0.4642693725944069
20-40%
precision recall f1-score support
0 0.00 0.71 0.01 659
1 0.99 0.25 0.40 130568
accuracy 0.25 131227
macro avg 0.50 0.48 0.20 131227
weighted avg 0.99 0.25 0.40 131227
Accuracy: 0.25135833326983015
40-80%
precision recall f1-score support
0 0.00 0.91 0.00 169
1 1.00 0.05 0.09 65234
accuracy 0.05 65403
macro avg 0.50 0.48 0.05 65403
weighted avg 0.99 0.05 0.09 65403
Accuracy: 0.04969191015702644
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: 0.005144868670457623
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 1.00 0.00 0.00 5686
accuracy 0.01 5704
macro avg 0.50 0.50 0.01 5704
weighted avg 1.00 0.01 0.00 5704
Accuracy: 0.005610098176718092
0.1
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.71 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.63 0.50 0.35 47734596
weighted avg 0.62 0.55 0.39 47734596
Accuracy: 0.547201363137126
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: 0.9594811291802662
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.81 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.65 0.50 0.32 27835287
weighted avg 0.65 0.48 0.31 27835287
Accuracy: 0.4802708518866718
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.89 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.51 0.50 0.11 3890639
weighted avg 0.79 0.13 0.03 3890639
Accuracy: 0.12957408795830197
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.92 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.50 0.50 0.07 2117913
weighted avg 0.86 0.07 0.01 2117913
Accuracy: 0.07003498255121905
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 1.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.52 0.50 0.04 1105895
weighted avg 0.96 0.04 0.00 1105895
Accuracy: 0.037641909946242634
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 0.91 0.00 0.01 16938696
accuracy 0.57 39470598
macro avg 0.74 0.50 0.37 39470598
weighted avg 0.72 0.57 0.42 39470598
Accuracy: 0.5721525931783451
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 0.55 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.73 0.50 0.47 12711176
weighted avg 0.87 0.90 0.85 12711176
Accuracy: 0.8999977657456714
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.80 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.68 0.50 0.36 8856813
weighted avg 0.67 0.57 0.42 8856813
Accuracy: 0.5702003643974418
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.91 0.00 0.01 5583215
accuracy 0.35 8578813
macro avg 0.63 0.50 0.26 8578813
weighted avg 0.72 0.35 0.19 8578813
Accuracy: 0.35125034197621513
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.96 0.00 0.01 5001564
accuracy 0.21 6296625
macro avg 0.58 0.50 0.18 6296625
weighted avg 0.80 0.21 0.08 6296625
Accuracy: 0.20910853036348837
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.97 0.00 0.01 692761
accuracy 0.15 810732
macro avg 0.56 0.50 0.13 810732
weighted avg 0.85 0.15 0.05 810732
Accuracy: 0.1496191096441241
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.98 0.00 0.01 577496
accuracy 0.14 666440
macro avg 0.56 0.50 0.12 666440
weighted avg 0.86 0.14 0.04 666440
Accuracy: 0.13763879719104496
LR_8
0.01
Treshold: 0.8
All
precision recall f1-score support
0 0.60 0.99 0.75 28055468
1 0.90 0.15 0.26 21729815
accuracy 0.62 49785283
macro avg 0.75 0.57 0.50 49785283
weighted avg 0.73 0.62 0.53 49785283
Accuracy: 0.6226645532978089
0-1%
precision recall f1-score support
0 0.63 0.99 0.77 27764588
1 0.78 0.05 0.09 17098553
accuracy 0.63 44863141
macro avg 0.71 0.52 0.43 44863141
weighted avg 0.69 0.63 0.51 44863141
Accuracy: 0.6318400443696085
1-10%
precision recall f1-score support
0 0.07 0.56 0.13 287564
1 0.94 0.52 0.67 4164787
accuracy 0.52 4452351
macro avg 0.51 0.54 0.40 4452351
weighted avg 0.89 0.52 0.64 4452351
Accuracy: 0.5229810048668669
10-20%
precision recall f1-score support
0 0.01 0.25 0.02 2455
1 0.99 0.76 0.86 257616
accuracy 0.76 260071
macro avg 0.50 0.51 0.44 260071
weighted avg 0.98 0.76 0.86 260071
Accuracy: 0.7600386048425237
20-40%
precision recall f1-score support
0 0.01 0.36 0.01 659
1 1.00 0.67 0.80 130568
accuracy 0.67 131227
macro avg 0.50 0.51 0.41 131227
weighted avg 0.99 0.67 0.80 131227
Accuracy: 0.6670807074763577
40-80%
precision recall f1-score support
0 0.00 0.50 0.01 169
1 1.00 0.52 0.68 65234
accuracy 0.52 65403
macro avg 0.50 0.51 0.34 65403
weighted avg 0.99 0.52 0.68 65403
Accuracy: 0.5198232496980261
80-90%
precision recall f1-score support
0 0.00 0.53 0.00 15
1 1.00 0.42 0.59 7371
accuracy 0.42 7386
macro avg 0.50 0.48 0.30 7386
weighted avg 1.00 0.42 0.59 7386
Accuracy: 0.4217438396967235
90-100%
precision recall f1-score support
0 0.00 0.56 0.01 18
1 1.00 0.42 0.59 5686
accuracy 0.42 5704
macro avg 0.50 0.49 0.30 5704
weighted avg 0.99 0.42 0.59 5704
Accuracy: 0.41917952314165496
0.1
Treshold: 0.8
All
precision recall f1-score support
0 0.58 0.98 0.73 26119367
1 0.85 0.15 0.26 21615229
accuracy 0.60 47734596
macro avg 0.72 0.57 0.49 47734596
weighted avg 0.70 0.60 0.52 47734596
Accuracy: 0.6040380021232399
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.25 0.01 0.02 508421
accuracy 0.96 12561431
macro avg 0.61 0.50 0.50 12561431
weighted avg 0.93 0.96 0.94 12561431
Accuracy: 0.9588680620862384
1-10%
precision recall f1-score support
0 0.49 0.97 0.65 13368467
1 0.72 0.07 0.12 14466820
accuracy 0.50 27835287
macro avg 0.60 0.52 0.39 27835287
weighted avg 0.61 0.50 0.38 27835287
Accuracy: 0.5017235856055661
10-20%
precision recall f1-score support
0 0.14 0.77 0.23 503365
1 0.89 0.27 0.41 3387274
accuracy 0.33 3890639
macro avg 0.51 0.52 0.32 3890639
weighted avg 0.79 0.33 0.39 3890639
Accuracy: 0.33489614430945663
20-40%
precision recall f1-score support
0 0.07 0.63 0.13 147488
1 0.94 0.41 0.57 1970425
accuracy 0.43 2117913
macro avg 0.51 0.52 0.35 2117913
weighted avg 0.88 0.43 0.54 2117913
Accuracy: 0.42843166834520585
40-80%
precision recall f1-score support
0 0.04 0.59 0.08 41616
1 0.97 0.46 0.62 1064279
accuracy 0.46 1105895
macro avg 0.50 0.52 0.35 1105895
weighted avg 0.93 0.46 0.60 1105895
Accuracy: 0.4614669566278896
80-90%
precision recall f1-score support
0 0.03 0.60 0.05 3093
1 0.98 0.46 0.62 120943
accuracy 0.46 124036
macro avg 0.50 0.53 0.34 124036
weighted avg 0.95 0.46 0.61 124036
Accuracy: 0.46047921571156764
90-100%
precision recall f1-score support
0 0.02 0.57 0.05 2328
1 0.98 0.45 0.62 97067
accuracy 0.46 99395
macro avg 0.50 0.51 0.33 99395
weighted avg 0.96 0.46 0.61 99395
Accuracy: 0.45620001006086824
0.2
Treshold: 0.8
All
precision recall f1-score support
0 0.59 0.97 0.73 24893266
1 0.83 0.17 0.28 20563095
accuracy 0.61 45456361
macro avg 0.71 0.57 0.51 45456361
weighted avg 0.69 0.61 0.53 45456361
Accuracy: 0.6085714824378484
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.05 0.00 0.01 3872
accuracy 1.00 4877461
macro avg 0.53 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9991608338846789
1-10%
precision recall f1-score support
0 0.69 0.98 0.81 16949103
1 0.62 0.06 0.11 8016772
accuracy 0.69 24965875
macro avg 0.65 0.52 0.46 24965875
weighted avg 0.67 0.69 0.59 24965875
Accuracy: 0.6863939677660006
10-20%
precision recall f1-score support
0 0.28 0.90 0.43 2057494
1 0.79 0.15 0.25 5461156
accuracy 0.35 7518650
macro avg 0.54 0.52 0.34 7518650
weighted avg 0.66 0.35 0.30 7518650
Accuracy: 0.3544235999813796
20-40%
precision recall f1-score support
0 0.17 0.81 0.28 744974
1 0.88 0.26 0.40 4060539
accuracy 0.35 4805513
macro avg 0.52 0.53 0.34 4805513
weighted avg 0.77 0.35 0.38 4805513
Accuracy: 0.34678961434502414
40-80%
precision recall f1-score support
0 0.10 0.72 0.17 235909
1 0.93 0.37 0.53 2483775
accuracy 0.40 2719684
macro avg 0.51 0.54 0.35 2719684
weighted avg 0.86 0.40 0.49 2719684
Accuracy: 0.39642436400699493
80-90%
precision recall f1-score support
0 0.07 0.68 0.12 18577
1 0.95 0.41 0.57 296772
accuracy 0.43 315349
macro avg 0.51 0.54 0.35 315349
weighted avg 0.90 0.43 0.55 315349
Accuracy: 0.4260454290325956
90-100%
precision recall f1-score support
0 0.06 0.67 0.11 13620
1 0.96 0.42 0.58 240209
accuracy 0.43 253829
macro avg 0.51 0.54 0.35 253829
weighted avg 0.91 0.43 0.56 253829
Accuracy: 0.4328110657174712
0.4
Treshold: 0.8
All
precision recall f1-score support
0 0.62 0.96 0.76 22531902
1 0.82 0.23 0.36 16938696
accuracy 0.65 39470598
macro avg 0.72 0.60 0.56 39470598
weighted avg 0.71 0.65 0.59 39470598
Accuracy: 0.648759767967032
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 0.99 0.95 11439888
1 0.47 0.06 0.10 1271288
accuracy 0.90 12711176
macro avg 0.69 0.52 0.52 12711176
weighted avg 0.86 0.90 0.86 12711176
Accuracy: 0.899239928705259
10-20%
precision recall f1-score support
0 0.59 0.95 0.73 5044441
1 0.68 0.13 0.22 3812372
accuracy 0.60 8856813
macro avg 0.64 0.54 0.48 8856813
weighted avg 0.63 0.60 0.51 8856813
Accuracy: 0.5995566351011362
20-40%
precision recall f1-score support
0 0.39 0.90 0.54 2995598
1 0.81 0.23 0.36 5583215
accuracy 0.47 8578813
macro avg 0.60 0.57 0.45 8578813
weighted avg 0.66 0.47 0.43 8578813
Accuracy: 0.46709667176566266
40-80%
precision recall f1-score support
0 0.24 0.84 0.38 1295061
1 0.89 0.32 0.47 5001564
accuracy 0.43 6296625
macro avg 0.56 0.58 0.42 6296625
weighted avg 0.75 0.43 0.45 6296625
Accuracy: 0.4279365533122903
80-90%
precision recall f1-score support
0 0.18 0.82 0.29 117971
1 0.92 0.35 0.50 692761
accuracy 0.42 810732
macro avg 0.55 0.58 0.40 810732
weighted avg 0.81 0.42 0.47 810732
Accuracy: 0.41600306883162375
90-100%
precision recall f1-score support
0 0.16 0.81 0.27 88944
1 0.92 0.36 0.51 577496
accuracy 0.42 666440
macro avg 0.54 0.58 0.39 666440
weighted avg 0.82 0.42 0.48 666440
Accuracy: 0.41627303283116257
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
0.01
Treshold: 0.8
All
precision recall f1-score support
0 0.60 0.99 0.75 28055468
1 0.91 0.14 0.25 21729815
accuracy 0.62 49785283
macro avg 0.76 0.57 0.50 49785283
weighted avg 0.74 0.62 0.53 49785283
Accuracy: 0.6201705833428727
0-1%
precision recall f1-score support
0 0.63 0.99 0.77 27764588
1 0.80 0.04 0.08 17098553
accuracy 0.63 44863141
macro avg 0.71 0.52 0.42 44863141
weighted avg 0.69 0.63 0.50 44863141
Accuracy: 0.6301739327614176
1-10%
precision recall f1-score support
0 0.07 0.58 0.13 287564
1 0.95 0.51 0.66 4164787
accuracy 0.51 4452351
macro avg 0.51 0.54 0.40 4452351
weighted avg 0.89 0.51 0.63 4452351
Accuracy: 0.5123178743095501
10-20%
precision recall f1-score support
0 0.01 0.25 0.02 2455
1 0.99 0.76 0.86 257616
accuracy 0.76 260071
macro avg 0.50 0.50 0.44 260071
weighted avg 0.98 0.76 0.85 260071
Accuracy: 0.7580083900165724
20-40%
precision recall f1-score support
0 0.01 0.36 0.01 659
1 1.00 0.67 0.80 130568
accuracy 0.66 131227
macro avg 0.50 0.51 0.40 131227
weighted avg 0.99 0.66 0.79 131227
Accuracy: 0.6647412498952198
40-80%
precision recall f1-score support
0 0.00 0.51 0.01 169
1 1.00 0.51 0.67 65234
accuracy 0.51 65403
macro avg 0.50 0.51 0.34 65403
weighted avg 0.99 0.51 0.67 65403
Accuracy: 0.5070409614237879
80-90%
precision recall f1-score support
0 0.00 0.60 0.00 15
1 1.00 0.40 0.57 7371
accuracy 0.40 7386
macro avg 0.50 0.50 0.29 7386
weighted avg 1.00 0.40 0.57 7386
Accuracy: 0.4018413214189006
90-100%
precision recall f1-score support
0 0.00 0.67 0.01 18
1 1.00 0.40 0.57 5686
accuracy 0.40 5704
macro avg 0.50 0.53 0.29 5704
weighted avg 0.99 0.40 0.57 5704
Accuracy: 0.39779102384291726
0.1
Treshold: 0.8
All
precision recall f1-score support
0 0.58 0.98 0.73 26119367
1 0.85 0.15 0.26 21615229
accuracy 0.60 47734596
macro avg 0.72 0.56 0.49 47734596
weighted avg 0.70 0.60 0.51 47734596
Accuracy: 0.6032625687247882
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.25 0.01 0.02 508421
accuracy 0.96 12561431
macro avg 0.60 0.50 0.50 12561431
weighted avg 0.93 0.96 0.94 12561431
Accuracy: 0.9588855760143888
1-10%
precision recall f1-score support
0 0.49 0.97 0.65 13368467
1 0.72 0.07 0.12 14466820
accuracy 0.50 27835287
macro avg 0.60 0.52 0.39 27835287
weighted avg 0.61 0.50 0.38 27835287
Accuracy: 0.5011759713488854
10-20%
precision recall f1-score support
0 0.14 0.77 0.23 503365
1 0.89 0.27 0.41 3387274
accuracy 0.33 3890639
macro avg 0.51 0.52 0.32 3890639
weighted avg 0.79 0.33 0.39 3890639
Accuracy: 0.33145146594171293
20-40%
precision recall f1-score support
0 0.07 0.63 0.13 147488
1 0.94 0.41 0.57 1970425
accuracy 0.43 2117913
macro avg 0.51 0.52 0.35 2117913
weighted avg 0.88 0.43 0.54 2117913
Accuracy: 0.4257115377260539
40-80%
precision recall f1-score support
0 0.04 0.59 0.08 41616
1 0.97 0.45 0.62 1064279
accuracy 0.46 1105895
macro avg 0.50 0.52 0.35 1105895
weighted avg 0.93 0.46 0.60 1105895
Accuracy: 0.4593474063993417
80-90%
precision recall f1-score support
0 0.03 0.60 0.05 3093
1 0.98 0.45 0.62 120943
accuracy 0.46 124036
macro avg 0.50 0.53 0.34 124036
weighted avg 0.95 0.46 0.61 124036
Accuracy: 0.4583024283272598
90-100%
precision recall f1-score support
0 0.02 0.57 0.05 2328
1 0.98 0.45 0.62 97067
accuracy 0.45 99395
macro avg 0.50 0.51 0.33 99395
weighted avg 0.96 0.45 0.60 99395
Accuracy: 0.45403692338648827
0.2
Treshold: 0.8
All
precision recall f1-score support
0 0.59 0.97 0.73 24893266
1 0.83 0.17 0.28 20563095
accuracy 0.61 45456361
macro avg 0.71 0.57 0.50 45456361
weighted avg 0.69 0.61 0.53 45456361
Accuracy: 0.6076901976381259
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.05 0.00 0.01 3872
accuracy 1.00 4877461
macro avg 0.52 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9991612439340878
1-10%
precision recall f1-score support
0 0.69 0.98 0.81 16949103
1 0.62 0.06 0.11 8016772
accuracy 0.69 24965875
macro avg 0.65 0.52 0.46 24965875
weighted avg 0.67 0.69 0.59 24965875
Accuracy: 0.6862799321073265
10-20%
precision recall f1-score support
0 0.28 0.90 0.43 2057494
1 0.79 0.15 0.25 5461156
accuracy 0.35 7518650
macro avg 0.54 0.52 0.34 7518650
weighted avg 0.66 0.35 0.30 7518650
Accuracy: 0.3530458260458992
20-40%
precision recall f1-score support
0 0.17 0.81 0.28 744974
1 0.88 0.26 0.40 4060539
accuracy 0.34 4805513
macro avg 0.52 0.53 0.34 4805513
weighted avg 0.77 0.34 0.38 4805513
Accuracy: 0.34364738998729166
40-80%
precision recall f1-score support
0 0.10 0.72 0.17 235909
1 0.93 0.36 0.52 2483775
accuracy 0.39 2719684
macro avg 0.51 0.54 0.35 2719684
weighted avg 0.86 0.39 0.49 2719684
Accuracy: 0.39280519354454413
80-90%
precision recall f1-score support
0 0.07 0.68 0.12 18577
1 0.95 0.41 0.57 296772
accuracy 0.42 315349
macro avg 0.51 0.54 0.35 315349
weighted avg 0.90 0.42 0.54 315349
Accuracy: 0.42275383781144066
90-100%
precision recall f1-score support
0 0.06 0.67 0.11 13620
1 0.96 0.42 0.58 240209
accuracy 0.43 253829
macro avg 0.51 0.54 0.35 253829
weighted avg 0.91 0.43 0.55 253829
Accuracy: 0.4293638630731713
0.4
Treshold: 0.8
All
precision recall f1-score support
0 0.62 0.96 0.76 22531902
1 0.82 0.23 0.36 16938696
accuracy 0.65 39470598
macro avg 0.72 0.60 0.56 39470598
weighted avg 0.71 0.65 0.59 39470598
Accuracy: 0.6486366130049511
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 0.99 0.95 11439888
1 0.47 0.06 0.10 1271288
accuracy 0.90 12711176
macro avg 0.69 0.52 0.52 12711176
weighted avg 0.86 0.90 0.86 12711176
Accuracy: 0.8992405580726756
10-20%
precision recall f1-score support
0 0.59 0.95 0.73 5044441
1 0.68 0.13 0.22 3812372
accuracy 0.60 8856813
macro avg 0.64 0.54 0.48 8856813
weighted avg 0.63 0.60 0.51 8856813
Accuracy: 0.5995083107207977
20-40%
precision recall f1-score support
0 0.39 0.90 0.54 2995598
1 0.81 0.23 0.36 5583215
accuracy 0.47 8578813
macro avg 0.60 0.57 0.45 8578813
weighted avg 0.66 0.47 0.43 8578813
Accuracy: 0.46689093234693424
40-80%
precision recall f1-score support
0 0.24 0.84 0.38 1295061
1 0.89 0.32 0.47 5001564
accuracy 0.43 6296625
macro avg 0.56 0.58 0.42 6296625
weighted avg 0.75 0.43 0.45 6296625
Accuracy: 0.42760097671371566
80-90%
precision recall f1-score support
0 0.18 0.82 0.29 117971
1 0.92 0.35 0.50 692761
accuracy 0.42 810732
macro avg 0.55 0.58 0.40 810732
weighted avg 0.81 0.42 0.47 810732
Accuracy: 0.41565770192862744
90-100%
precision recall f1-score support
0 0.16 0.81 0.27 88944
1 0.92 0.36 0.51 577496
accuracy 0.42 666440
macro avg 0.54 0.58 0.39 666440
weighted avg 0.82 0.42 0.48 666440
Accuracy: 0.4158483884520737
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 Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 6046758 | 0.403719 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| Zipf Optimal Distribution | 9519768 | 0.404397 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.8] | 9773902 | 0.404839 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.8] | 9740182 | 0.404872 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.8] | 9723106 | 0.404903 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.8] | 10205064 | 0.404963 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.8] | 10308093 | 0.405046 | ../../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_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_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_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 10440959 | 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_8_decay_vtime[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 |
| Offline Clock 1st iteration | 10440959 | 0.405173 | ../../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 |
| 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_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_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_9_decay_vtime[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_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_5[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[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[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_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 Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5855919 | 0.209857 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| Zipf Optimal Distribution | 8927244 | 0.211885 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.8] | 9749804 | 0.213586 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.8] | 9741455 | 0.213588 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.8] | 9737587 | 0.213589 | ../../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_rtime_w_0_5[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_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_vtime_w_0_75[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[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_7_decay_vtime[cache_size=0.1,treshold=0.8] | 10273543 | 0.213817 | ../../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 |
| 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_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_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_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_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[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_decay_rtime_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_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[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 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.8] | 10273447 | 0.213818 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.8] | 10273392 | 0.213818 | ../../result/log/zipf_1_15 | 0.1 | 1 |
0.2
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5679810 | 0.147307 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| Zipf Optimal Distribution | 8496578 | 0.150203 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_rtime[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_vtime[cache_size=0.2,treshold=0.8] | 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_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_w_0_75[cache_size=0.2,treshold=0.8] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.8] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_w_0_75[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_vtime[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_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_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 10000414 | 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_9_decay_rtime[cache_size=0.2,treshold=0.8] | 10000097 | 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_vtime[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_rtime_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_5[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_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[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 |
| LR_7[cache_size=0.2,treshold=0.8] | 9531967 | 0.152768 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.8] | 9531595 | 0.152769 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.8] | 9517061 | 0.15277 | ../../result/log/zipf_1_15 | 0.2 | 1 |
0.4
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5220469 | 0.0827401 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| Zipf Optimal Distribution | 7658498 | 0.0867334 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_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_vtime[cache_size=0.4,treshold=0.8] | 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_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_w_0_75[cache_size=0.4,treshold=0.8] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.8] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_w_0_75[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_vtime[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_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_vtime_w_0_75[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_9_decay_rtime[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_vtime[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_rtime_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_5[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_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[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 |
| LR_9[cache_size=0.4,treshold=0.8] | 8605042 | 0.0898638 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.8] | 8604425 | 0.0898642 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.8] | 8604072 | 0.0898644 | ../../result/log/zipf_1_15 | 0.4 | 1 |
zipf_1_16
Ignore Obj Size
0.01
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 6044928 | 0.403882 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| Zipf Optimal Distribution | 9516893 | 0.40457 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.8] | 9769605 | 0.405016 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.8] | 9736498 | 0.405046 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.8] | 9719385 | 0.405075 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.8] | 10201390 | 0.405133 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.8] | 10304584 | 0.405217 | ../../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_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_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_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 10437637 | 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_8_decay_vtime[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 |
| Offline Clock 1st iteration | 10437637 | 0.405347 | ../../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 |
| 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_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_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_9_decay_vtime[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_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_5[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[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[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_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 Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5851636 | 0.210029 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| Zipf Optimal Distribution | 8926367 | 0.212052 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.8] | 9750736 | 0.213751 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.8] | 9743143 | 0.213754 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.8] | 9739734 | 0.213755 | ../../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_rtime_w_0_5[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_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_vtime_w_0_75[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[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_7_decay_vtime[cache_size=0.1,treshold=0.8] | 10274590 | 0.213983 | ../../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 |
| 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_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_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_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_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[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_decay_rtime_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_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[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 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.8] | 10274493 | 0.213984 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.8] | 10274439 | 0.213984 | ../../result/log/zipf_1_16 | 0.1 | 1 |
0.2
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5683642 | 0.147393 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| Zipf Optimal Distribution | 8505430 | 0.150288 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_rtime[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_vtime[cache_size=0.2,treshold=0.8] | 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_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_w_0_75[cache_size=0.2,treshold=0.8] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.8] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_w_0_75[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_vtime[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_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_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 10010513 | 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_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_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_vtime[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_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_decay_vtime_w_0_5[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_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[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 |
| LR_7[cache_size=0.2,treshold=0.8] | 9547859 | 0.152851 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.8] | 9547489 | 0.152852 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.8] | 9535780 | 0.152853 | ../../result/log/zipf_1_16 | 0.2 | 1 |
0.4
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5225924 | 0.0827439 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| Zipf Optimal Distribution | 7664562 | 0.0867505 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_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_vtime[cache_size=0.4,treshold=0.8] | 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_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_w_0_75[cache_size=0.4,treshold=0.8] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.8] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_w_0_75[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_vtime[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_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_vtime_w_0_75[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_9_decay_rtime[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_vtime[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_rtime_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_5[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_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[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 |
| LR_9[cache_size=0.4,treshold=0.8] | 8611294 | 0.0898878 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.8] | 8610365 | 0.0898882 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.8] | 8610028 | 0.0898884 | ../../result/log/zipf_1_16 | 0.4 | 1 |
zipf_1_17
Ignore Obj Size
0.01
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 6046350 | 0.403777 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| Zipf Optimal Distribution | 9518366 | 0.404457 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.8] | 9771886 | 0.404899 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.8] | 9738418 | 0.404932 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.8] | 9721381 | 0.404961 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.8] | 10203909 | 0.405024 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.8] | 10306504 | 0.405107 | ../../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_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_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_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 10439561 | 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_8_decay_vtime[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 |
| Offline Clock 1st iteration | 10439561 | 0.405242 | ../../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 |
| 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_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_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_9_decay_vtime[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_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_5[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[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[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_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 Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5851791 | 0.209897 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| Zipf Optimal Distribution | 8925674 | 0.211925 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.8] | 9747434 | 0.213628 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.8] | 9739230 | 0.21363 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.8] | 9735705 | 0.213631 | ../../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_rtime_w_0_5[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_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_vtime_w_0_75[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[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_7_decay_vtime[cache_size=0.1,treshold=0.8] | 10272629 | 0.213852 | ../../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 |
| 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_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_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_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_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[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_decay_rtime_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_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[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 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.8] | 10272536 | 0.213853 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.8] | 10272459 | 0.213853 | ../../result/log/zipf_1_17 | 0.1 | 1 |
0.2
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5680729 | 0.147336 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| Zipf Optimal Distribution | 8498188 | 0.150231 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_rtime[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_vtime[cache_size=0.2,treshold=0.8] | 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_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_w_0_75[cache_size=0.2,treshold=0.8] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.8] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_w_0_75[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_vtime[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_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_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 10002876 | 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_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_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_vtime[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_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_decay_vtime_w_0_5[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_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[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 |
| LR_7[cache_size=0.2,treshold=0.8] | 9536570 | 0.152804 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.8] | 9523014 | 0.152804 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.8] | 9536275 | 0.152805 | ../../result/log/zipf_1_17 | 0.2 | 1 |
0.4
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5224778 | 0.0827112 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| Zipf Optimal Distribution | 7661751 | 0.0867151 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_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_vtime[cache_size=0.4,treshold=0.8] | 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_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_w_0_75[cache_size=0.4,treshold=0.8] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.8] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_w_0_75[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_vtime[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_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_vtime_w_0_75[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_9_decay_rtime[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_vtime[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_rtime_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_5[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_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[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 |
| LR_8[cache_size=0.4,treshold=0.8] | 8607827 | 0.0898513 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.8] | 8608122 | 0.0898514 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.8] | 8608694 | 0.0898514 | ../../result/log/zipf_1_17 | 0.4 | 1 |
zipf_1_18
Ignore Obj Size
0.01
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 6046061 | 0.40372 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| Zipf Optimal Distribution | 9518058 | 0.404413 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.8] | 9772939 | 0.404858 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.8] | 9739576 | 0.404889 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.8] | 9722629 | 0.404917 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.8] | 10204455 | 0.404981 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.8] | 10307228 | 0.405066 | ../../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_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_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_rtime_w_0_75[cache_size=0.01,treshold=0.8] | 10439737 | 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_8_decay_vtime[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 |
| Offline Clock 1st iteration | 10439737 | 0.4052 | ../../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 |
| 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_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_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_9_decay_vtime[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_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_5[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[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[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_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 Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5852167 | 0.209865 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| Zipf Optimal Distribution | 8924501 | 0.211883 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.8] | 9741672 | 0.213594 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.8] | 9733356 | 0.213597 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.8] | 9730334 | 0.213597 | ../../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_rtime_w_0_5[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_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_vtime_w_0_75[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[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_7_decay_vtime[cache_size=0.1,treshold=0.8] | 10268390 | 0.213821 | ../../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 |
| 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_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_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_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_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[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_decay_rtime_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_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[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 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.8] | 10268299 | 0.213822 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.8] | 10268220 | 0.213822 | ../../result/log/zipf_1_18 | 0.1 | 1 |
0.2
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5677502 | 0.147262 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| Zipf Optimal Distribution | 8501025 | 0.150135 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_rtime[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_vtime[cache_size=0.2,treshold=0.8] | 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_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_w_0_75[cache_size=0.2,treshold=0.8] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.8] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_w_0_75[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_vtime[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_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_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 10001079 | 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_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_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_vtime[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_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_decay_vtime_w_0_5[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_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[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 |
| LR_7[cache_size=0.2,treshold=0.8] | 9531160 | 0.152725 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.8] | 9518277 | 0.152725 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.8] | 9530717 | 0.152726 | ../../result/log/zipf_1_18 | 0.2 | 1 |
0.4
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5223361 | 0.0826611 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| Zipf Optimal Distribution | 7661309 | 0.0866641 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_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_vtime[cache_size=0.4,treshold=0.8] | 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_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_w_0_75[cache_size=0.4,treshold=0.8] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.8] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_w_0_75[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_vtime[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_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_vtime_w_0_75[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_9_decay_rtime[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_vtime[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_rtime_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_5[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_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[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 |
| LR_9[cache_size=0.4,treshold=0.8] | 8606890 | 0.0897961 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.8] | 8606269 | 0.0897963 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.8] | 8605948 | 0.0897965 | ../../result/log/zipf_1_18 | 0.4 | 1 |
zipf_1_19
Ignore Obj Size
0.01
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 6047379 | 0.403776 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| Zipf Optimal Distribution | 9518278 | 0.404475 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.8] | 9774585 | 0.404917 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.8] | 9740851 | 0.404951 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.8] | 9724440 | 0.404975 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.8] | 10207388 | 0.405041 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.8] | 10310249 | 0.405126 | ../../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_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_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_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_75[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_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_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_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_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_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_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_5[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[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_decay_rtime[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 Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5852464 | 0.209927 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| Zipf Optimal Distribution | 8923837 | 0.21197 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.8] | 9745686 | 0.213665 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.8] | 9737676 | 0.213668 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.8] | 9734226 | 0.213668 | ../../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_rtime_w_0_5[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_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_vtime_w_0_75[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[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_7_decay_vtime[cache_size=0.1,treshold=0.8] | 10270641 | 0.213882 | ../../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 |
| 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_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_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_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_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[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_decay_rtime_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_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[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 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.8] | 10270549 | 0.213883 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.8] | 10270498 | 0.213883 | ../../result/log/zipf_1_19 | 0.1 | 1 |
0.2
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5678610 | 0.147359 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| Zipf Optimal Distribution | 8501803 | 0.150225 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_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_vtime[cache_size=0.2,treshold=0.8] | 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_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_w_0_75[cache_size=0.2,treshold=0.8] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.8] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_w_0_75[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_vtime[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_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_vtime_w_0_75[cache_size=0.2,treshold=0.8] | 10003474 | 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_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_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_vtime[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_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_decay_vtime_w_0_5[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_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[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 |
| LR_8[cache_size=0.2,treshold=0.8] | 9527439 | 0.152809 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.8] | 9540045 | 0.15281 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.8] | 9539643 | 0.152811 | ../../result/log/zipf_1_19 | 0.2 | 1 |
0.4
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5227240 | 0.0827181 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| Zipf Optimal Distribution | 7662557 | 0.0867323 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_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_vtime[cache_size=0.4,treshold=0.8] | 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_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_w_0_75[cache_size=0.4,treshold=0.8] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.8] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_w_0_75[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_vtime[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_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_vtime_w_0_75[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_9_decay_rtime[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_vtime[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_rtime_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_5[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_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[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 |
| LR_9[cache_size=0.4,treshold=0.8] | 8613404 | 0.0898297 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.8] | 8612504 | 0.0898298 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.8] | 8612834 | 0.0898298 | ../../result/log/zipf_1_19 | 0.4 | 1 |