Zipf1 Weighted Models with Treshold 0.7 Test Data Result Obj Size Ignored
Result
Model Summaries
| Model | Better than base % of the times |
|---|
| LR_7[cache_size=0.01,treshold=0.7] | 0 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 100 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.7] | 100 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.7] | 100 |
| LR_8[cache_size=0.01,treshold=0.7] | 0 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.7] | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 100 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.7] | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 |
| LR_9[cache_size=0.01,treshold=0.7] | 0 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.7] | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 100 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.7] | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 |
| LR_7[cache_size=0.1,treshold=0.7] | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.7] | 100 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.7] | 100 |
| LR_8[cache_size=0.1,treshold=0.7] | 0 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.7] | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.7] | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 |
| LR_9[cache_size=0.1,treshold=0.7] | 0 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.7] | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.7] | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 |
| LR_7[cache_size=0.2,treshold=0.7] | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.7] | 0 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.7] | 100 |
| LR_8[cache_size=0.2,treshold=0.7] | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.7] | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.7] | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 |
| LR_9[cache_size=0.2,treshold=0.7] | 0 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.7] | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.7] | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 |
| LR_7[cache_size=0.4,treshold=0.7] | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.7] | 20 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.7] | 0 |
| LR_8[cache_size=0.4,treshold=0.7] | 0 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.7] | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.7] | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 |
| LR_9[cache_size=0.4,treshold=0.7] | 0 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.7] | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.7] | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 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=0.7] | 28.7011 | 28.6634 | 28.6839 | 28.6851 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 36.3781 | 36.3493 | 36.366 | 36.3718 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 3.49576 | 3.47962 | 3.48513 | 3.48392 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 17.7241 | 17.7117 | 17.7185 | 17.7203 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 0.0123591 | 0.0110348 | 0.0114865 | 0.0111867 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0.000277841 | 0.000210737 | 0.000233716 | 0.000220312 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.7] | 2.98432 | 2.96627 | 2.97332 | 2.97224 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.7] | 7.43222 | 7.41796 | 7.42725 | 7.42859 |
| LR_8[cache_size=0.01,treshold=0.7] | 28.7541 | 28.7157 | 28.7362 | 28.7385 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.7] | 36.3647 | 36.3337 | 36.3519 | 36.3568 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 3.51122 | 3.49392 | 3.50028 | 3.49936 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 17.7518 | 17.7347 | 17.7434 | 17.7432 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9[cache_size=0.01,treshold=0.7] | 28.6895 | 28.6544 | 28.6731 | 28.6736 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.7] | 36.3463 | 36.3114 | 36.3307 | 36.3352 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 3.46897 | 3.45307 | 3.45957 | 3.45973 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 17.7987 | 17.7811 | 17.7919 | 17.7907 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | 21.0626 | 21.0399 | 21.053 | 21.0563 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.1,treshold=0.7] | 30.4491 | 30.4138 | 30.4274 | 30.4225 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7885 | 29.7363 | 29.7606 | 29.7615 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 7.7862e-05 | 0 | 3.11469e-05 | 2.92038e-05 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 1.27606 | 1.24021 | 1.26179 | 1.26404 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.7] | 0.0680096 | 0.0653948 | 0.0667291 | 0.0667113 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.7] | 8.79403 | 8.77334 | 8.78646 | 8.78731 |
| LR_8[cache_size=0.1,treshold=0.7] | 30.4397 | 30.4058 | 30.4185 | 30.4119 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.7] | 29.8001 | 29.7536 | 29.7749 | 29.7767 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 0.00571312 | 0.00379806 | 0.00442746 | 0.00438992 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.7] | 0.348555 | 0.302971 | 0.325305 | 0.322731 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9[cache_size=0.1,treshold=0.7] | 30.4301 | 30.3941 | 30.409 | 30.4056 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.7] | 29.795 | 29.7477 | 29.7683 | 29.7692 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0.000233631 | 0.000146047 | 0.0001986 | 0.000214142 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 0.00971514 | 0.00772104 | 0.0089115 | 0.00941253 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.7] | 0.0323517 | 0.0284586 | 0.0300374 | 0.0296905 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | 23.1949 | 23.1637 | 23.1836 | 23.1838 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.2,treshold=0.7] | 29.8396 | 29.8127 | 29.8321 | 29.8348 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 0.00734788 | 0.00627782 | 0.00680156 | 0.00681926 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 4.14884 | 4.11541 | 4.13316 | 4.13037 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0.000139994 | 5.99827e-05 | 8.99711e-05 | 7.99722e-05 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.7] | 8.03817 | 7.99152 | 8.01782 | 8.02019 |
| LR_8[cache_size=0.2,treshold=0.7] | 29.917 | 29.8913 | 29.9089 | 29.9112 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.7] | 4.31487 | 4.28765 | 4.30283 | 4.30227 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9[cache_size=0.2,treshold=0.7] | 29.8617 | 29.8352 | 29.8537 | 29.8565 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.7] | 0.0129086 | 0.0117876 | 0.0124336 | 0.0125295 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0.000149994 | 4.99475e-05 | 7.79792e-05 | 6.99798e-05 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.7] | 3.96527 | 3.93742 | 3.95124 | 3.95278 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.4,treshold=0.7] | 29.0067 | 28.8549 | 28.9199 | 28.9118 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 9.14622 | 9.07493 | 9.09984 | 9.09161 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 9.73816 | 9.67011 | 9.68884 | 9.68025 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.7] | 0.00235913 | 0.00129949 | 0.00168828 | 0.00139621 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.7] | 6.06344 | 5.99027 | 6.02358 | 6.02036 |
| LR_8[cache_size=0.4,treshold=0.7] | 29.01 | 28.8569 | 28.9221 | 28.9133 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.7] | 9.16032 | 9.09081 | 9.11483 | 9.10767 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.7] | 9.71146 | 9.6443 | 9.66265 | 9.65421 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9[cache_size=0.4,treshold=0.7] | 29.0014 | 28.849 | 28.9149 | 28.9077 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.7] | 9.10534 | 9.03608 | 9.05942 | 9.05079 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.7] | 9.65327 | 9.59034 | 9.60868 | 9.60011 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 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=0.7] | -1.01491 | -1.02179 | -1.01845 | -1.0189 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | -1.00321 | -1.01315 | -1.00922 | -1.011 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 0.0745208 | 0.0725304 | 0.0737828 | 0.0737956 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | -0.032572 | -0.0397191 | -0.0357807 | -0.0362808 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | -0.00123396 | -0.0017273 | -0.00152992 | -0.00148085 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.7] | 0.0678677 | 0.0651574 | 0.0661331 | 0.066131 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.7] | 0.0629232 | 0.060442 | 0.0618887 | 0.0626786 |
| LR_8[cache_size=0.01,treshold=0.7] | -1.01111 | -1.01808 | -1.0144 | -1.01446 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.7] | -1.00173 | -1.01167 | -1.00769 | -1.00952 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 0.0747676 | 0.0725304 | 0.0738815 | 0.0737956 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | -0.030849 | -0.0379921 | -0.0341521 | -0.0345531 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9[cache_size=0.01,treshold=0.7] | -0.994186 | -1.00229 | -0.998066 | -0.998416 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.7] | -0.998766 | -1.0087 | -1.00483 | -1.00631 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 0.0752611 | 0.0735173 | 0.0745725 | 0.0747779 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | -0.0278836 | -0.0342916 | -0.0307961 | -0.0310978 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | -2.1115 | -2.11627 | -2.11374 | -2.11292 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.1,treshold=0.7] | -1.21318 | -1.22114 | -1.21774 | -1.21703 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | -1.48348 | -1.49776 | -1.48959 | -1.48797 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | -0.115897 | -0.122047 | -0.118577 | -0.118793 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.7] | 0.00514449 | 0.00374152 | 0.00430168 | 0.00420793 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.7] | 0.067815 | 0.0570408 | 0.0611589 | 0.0598178 |
| LR_8[cache_size=0.1,treshold=0.7] | -1.21458 | -1.22254 | -1.21887 | -1.21796 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.7] | -1.48489 | -1.4987 | -1.49062 | -1.4889 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | -0.000467327 | -0.00046769 | -0.000467572 | -0.000467613 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.7] | -0.0294416 | -0.0327383 | -0.0311406 | -0.0308625 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9[cache_size=0.1,treshold=0.7] | -1.20897 | -1.21693 | -1.21354 | -1.21329 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.7] | -1.48769 | -1.50197 | -1.49342 | -1.49171 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | -0.000467327 | -0.000935226 | -0.000561094 | -0.000467681 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.7] | -0.00280396 | -0.00327383 | -0.0029925 | -0.00280568 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | -2.5194 | -2.52786 | -2.52376 | -2.52335 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.2,treshold=0.7] | -1.10015 | -1.11492 | -1.10608 | -1.10351 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | -0.000654515 | -0.00130971 | -0.00104729 | -0.00130859 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | -0.433144 | -0.438097 | -0.435678 | -0.436007 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.7] | 0.0235625 | 0.0117773 | 0.0166259 | 0.0144068 |
| LR_8[cache_size=0.2,treshold=0.7] | -1.10932 | -1.12212 | -1.1142 | -1.11202 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.7] | -0.452924 | -0.456301 | -0.454398 | -0.454215 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9[cache_size=0.2,treshold=0.7] | -1.10146 | -1.11623 | -1.10778 | -1.10548 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.7] | -0.00196289 | -0.00196456 | -0.00196369 | -0.00196354 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.7] | -0.412439 | -0.416487 | -0.414208 | -0.414308 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.4,treshold=0.7] | -1.04431 | -1.06864 | -1.05688 | -1.0552 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | -1.00687 | -1.03073 | -1.02295 | -1.02382 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | -1.07807 | -1.10914 | -1.09927 | -1.10456 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.7] | 0.000111539 | -0.000334419 | -0.000133728 | -0.000111479 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.7] | -0.110649 | -0.13697 | -0.125092 | -0.127636 |
| LR_8[cache_size=0.4,treshold=0.7] | -1.0442 | -1.06819 | -1.05682 | -1.05498 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.7] | -1.00798 | -1.03218 | -1.02445 | -1.02628 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.7] | -1.07507 | -1.1058 | -1.09581 | -1.10111 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9[cache_size=0.4,treshold=0.7] | -1.04398 | -1.06864 | -1.05666 | -1.05476 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.7] | -1.00186 | -1.02493 | -1.0172 | -1.01836 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.7] | -1.06771 | -1.09877 | -1.08885 | -1.09428 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 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_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 3.45957 | 0.0745725 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 3.50028 | 0.0738815 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 3.48513 | 0.0737828 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.7] | 2.97332 | 0.0661331 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.7] | 7.42725 | 0.0618887 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.7] | 8.78646 | 0.0611589 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.7] | 8.01782 | 0.0166259 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.7] | 0.0667291 | 0.00430168 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 8.99711e-05 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 3.11469e-05 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0.000233716 | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 7.79792e-05 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0.0001986 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.7] | 0.00168828 | -0.000133728 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 0.00442746 | -0.000467572 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 0.0089115 | -0.000561094 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 0.00680156 | -0.00104729 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 0.0114865 | -0.00152992 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.7] | 0.0124336 | -0.00196369 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.7] | 0.0300374 | -0.0029925 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 17.7919 | -0.0307961 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.7] | 0.325305 | -0.0311406 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 17.7434 | -0.0341521 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 17.7185 | -0.0357807 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 1.26179 | -0.118577 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.7] | 6.02358 | -0.125092 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.7] | 3.95124 | -0.414208 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 4.13316 | -0.435678 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.7] | 4.30283 | -0.454398 |
| LR_9[cache_size=0.01,treshold=0.7] | 28.6731 | -0.998066 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.7] | 36.3307 | -1.00483 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.7] | 36.3519 | -1.00769 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 36.366 | -1.00922 |
| LR_8[cache_size=0.01,treshold=0.7] | 28.7362 | -1.0144 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.7] | 9.05942 | -1.0172 |
| LR_7[cache_size=0.01,treshold=0.7] | 28.6839 | -1.01845 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 9.09984 | -1.02295 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.7] | 9.11483 | -1.02445 |
| LR_9[cache_size=0.4,treshold=0.7] | 28.9149 | -1.05666 |
| LR_8[cache_size=0.4,treshold=0.7] | 28.9221 | -1.05682 |
| LR_7[cache_size=0.4,treshold=0.7] | 28.9199 | -1.05688 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.7] | 9.60868 | -1.08885 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.7] | 9.66265 | -1.09581 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 9.68884 | -1.09927 |
| LR_7[cache_size=0.2,treshold=0.7] | 29.8321 | -1.10608 |
| LR_9[cache_size=0.2,treshold=0.7] | 29.8537 | -1.10778 |
| LR_8[cache_size=0.2,treshold=0.7] | 29.9089 | -1.1142 |
| LR_9[cache_size=0.1,treshold=0.7] | 30.409 | -1.21354 |
| LR_7[cache_size=0.1,treshold=0.7] | 30.4274 | -1.21774 |
| LR_8[cache_size=0.1,treshold=0.7] | 30.4185 | -1.21887 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7606 | -1.48959 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7749 | -1.49062 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7683 | -1.49342 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | 21.053 | -2.11374 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | 23.1836 | -2.52376 |
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_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 3.45957 | 0.0745725 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 3.50028 | 0.0738815 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 3.48513 | 0.0737828 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.7] | 2.97332 | 0.0661331 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.7] | 7.42725 | 0.0618887 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0.000233716 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 0.0114865 | -0.00152992 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 17.7919 | -0.0307961 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 17.7434 | -0.0341521 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 17.7185 | -0.0357807 |
| LR_9[cache_size=0.01,treshold=0.7] | 28.6731 | -0.998066 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.7] | 36.3307 | -1.00483 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.7] | 36.3519 | -1.00769 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 36.366 | -1.00922 |
| LR_8[cache_size=0.01,treshold=0.7] | 28.7362 | -1.0144 |
| LR_7[cache_size=0.01,treshold=0.7] | 28.6839 | -1.01845 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | 21.053 | -2.11374 |
Cache Size 0.1
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.0216 | 1.84971 |
| Zipf Optimal Distribution | 13.1079 | 0.901478 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.7] | 8.78646 | 0.0611589 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.7] | 0.0667291 | 0.00430168 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 3.11469e-05 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0.0001986 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 0.00442746 | -0.000467572 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 0.0089115 | -0.000561094 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.7] | 0.0300374 | -0.0029925 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.7] | 0.325305 | -0.0311406 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 1.26179 | -0.118577 |
| LR_9[cache_size=0.1,treshold=0.7] | 30.409 | -1.21354 |
| LR_7[cache_size=0.1,treshold=0.7] | 30.4274 | -1.21774 |
| LR_8[cache_size=0.1,treshold=0.7] | 30.4185 | -1.21887 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7606 | -1.48959 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7749 | -1.49062 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7683 | -1.49342 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | 23.1836 | -2.52376 |
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_w_0_75[cache_size=0.2,treshold=0.7] | 8.01782 | 0.0166259 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 8.99711e-05 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 7.79792e-05 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 0.00680156 | -0.00104729 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.7] | 0.0124336 | -0.00196369 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.7] | 3.95124 | -0.414208 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 4.13316 | -0.435678 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.7] | 4.30283 | -0.454398 |
| LR_7[cache_size=0.2,treshold=0.7] | 29.8321 | -1.10608 |
| LR_9[cache_size=0.2,treshold=0.7] | 29.8537 | -1.10778 |
| LR_8[cache_size=0.2,treshold=0.7] | 29.9089 | -1.1142 |
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_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.7] | 0.00168828 | -0.000133728 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.7] | 6.02358 | -0.125092 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.7] | 9.05942 | -1.0172 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 9.09984 | -1.02295 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.7] | 9.11483 | -1.02445 |
| LR_9[cache_size=0.4,treshold=0.7] | 28.9149 | -1.05666 |
| LR_8[cache_size=0.4,treshold=0.7] | 28.9221 | -1.05682 |
| LR_7[cache_size=0.4,treshold=0.7] | 28.9199 | -1.05688 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.7] | 9.60868 | -1.08885 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.7] | 9.66265 | -1.09581 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 9.68884 | -1.09927 |
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_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 3.45973 | 0.0747779 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 3.49936 | 0.0737956 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 3.48392 | 0.0737956 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.7] | 2.97224 | 0.066131 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.7] | 7.42859 | 0.0626786 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.7] | 8.78731 | 0.0598178 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.7] | 8.02019 | 0.0144068 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.7] | 0.0667113 | 0.00420793 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 7.99722e-05 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 2.92038e-05 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0.000220312 | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 6.99798e-05 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0.000214142 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.7] | 0.00139621 | -0.000111479 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 0.00438992 | -0.000467613 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 0.00941253 | -0.000467681 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 0.00681926 | -0.00130859 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 0.0111867 | -0.00148085 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.7] | 0.0125295 | -0.00196354 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.7] | 0.0296905 | -0.00280568 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.7] | 0.322731 | -0.0308625 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 17.7907 | -0.0310978 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 17.7432 | -0.0345531 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 17.7203 | -0.0362808 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 1.26404 | -0.118793 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.7] | 6.02036 | -0.127636 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.7] | 3.95278 | -0.414308 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 4.13037 | -0.436007 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.7] | 4.30227 | -0.454215 |
| LR_9[cache_size=0.01,treshold=0.7] | 28.6736 | -0.998416 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.7] | 36.3352 | -1.00631 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.7] | 36.3568 | -1.00952 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 36.3718 | -1.011 |
| LR_8[cache_size=0.01,treshold=0.7] | 28.7385 | -1.01446 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.7] | 9.05079 | -1.01836 |
| LR_7[cache_size=0.01,treshold=0.7] | 28.6851 | -1.0189 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 9.09161 | -1.02382 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.7] | 9.10767 | -1.02628 |
| LR_9[cache_size=0.4,treshold=0.7] | 28.9077 | -1.05476 |
| LR_8[cache_size=0.4,treshold=0.7] | 28.9133 | -1.05498 |
| LR_7[cache_size=0.4,treshold=0.7] | 28.9118 | -1.0552 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.7] | 9.60011 | -1.09428 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.7] | 9.65421 | -1.10111 |
| LR_7[cache_size=0.2,treshold=0.7] | 29.8348 | -1.10351 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 9.68025 | -1.10456 |
| LR_9[cache_size=0.2,treshold=0.7] | 29.8565 | -1.10548 |
| LR_8[cache_size=0.2,treshold=0.7] | 29.9112 | -1.11202 |
| LR_9[cache_size=0.1,treshold=0.7] | 30.4056 | -1.21329 |
| LR_7[cache_size=0.1,treshold=0.7] | 30.4225 | -1.21703 |
| LR_8[cache_size=0.1,treshold=0.7] | 30.4119 | -1.21796 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7615 | -1.48797 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7767 | -1.4889 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7692 | -1.49171 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | 21.0563 | -2.11292 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | 23.1838 | -2.52335 |
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_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 3.45973 | 0.0747779 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 3.48392 | 0.0737956 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 3.49936 | 0.0737956 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.7] | 2.97224 | 0.066131 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.7] | 7.42859 | 0.0626786 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0.000220312 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 0.0111867 | -0.00148085 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 17.7907 | -0.0310978 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 17.7432 | -0.0345531 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 17.7203 | -0.0362808 |
| LR_9[cache_size=0.01,treshold=0.7] | 28.6736 | -0.998416 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.7] | 36.3352 | -1.00631 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.7] | 36.3568 | -1.00952 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 36.3718 | -1.011 |
| LR_8[cache_size=0.01,treshold=0.7] | 28.7385 | -1.01446 |
| LR_7[cache_size=0.01,treshold=0.7] | 28.6851 | -1.0189 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | 21.0563 | -2.11292 |
Cache Size 0.1
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.0175 | 1.84941 |
| Zipf Optimal Distribution | 13.1121 | 0.902408 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.7] | 8.78731 | 0.0598178 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.7] | 0.0667113 | 0.00420793 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 2.92038e-05 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0.000214142 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 0.00438992 | -0.000467613 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 0.00941253 | -0.000467681 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.7] | 0.0296905 | -0.00280568 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.7] | 0.322731 | -0.0308625 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 1.26404 | -0.118793 |
| LR_9[cache_size=0.1,treshold=0.7] | 30.4056 | -1.21329 |
| LR_7[cache_size=0.1,treshold=0.7] | 30.4225 | -1.21703 |
| LR_8[cache_size=0.1,treshold=0.7] | 30.4119 | -1.21796 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7615 | -1.48797 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7767 | -1.4889 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7692 | -1.49171 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | 23.1838 | -2.52335 |
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_w_0_75[cache_size=0.2,treshold=0.7] | 8.02019 | 0.0144068 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 7.99722e-05 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 6.99798e-05 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 0.00681926 | -0.00130859 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.7] | 0.0125295 | -0.00196354 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.7] | 3.95278 | -0.414308 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 4.13037 | -0.436007 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.7] | 4.30227 | -0.454215 |
| LR_7[cache_size=0.2,treshold=0.7] | 29.8348 | -1.10351 |
| LR_9[cache_size=0.2,treshold=0.7] | 29.8565 | -1.10548 |
| LR_8[cache_size=0.2,treshold=0.7] | 29.9112 | -1.11202 |
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_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.7] | 0.00139621 | -0.000111479 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.7] | 6.02036 | -0.127636 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.7] | 9.05079 | -1.01836 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 9.09161 | -1.02382 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.7] | 9.10767 | -1.02628 |
| LR_9[cache_size=0.4,treshold=0.7] | 28.9077 | -1.05476 |
| LR_8[cache_size=0.4,treshold=0.7] | 28.9133 | -1.05498 |
| LR_7[cache_size=0.4,treshold=0.7] | 28.9118 | -1.0552 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.7] | 9.60011 | -1.09428 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.7] | 9.65421 | -1.10111 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 9.68025 | -1.10456 |
Model Classification Report
LR_7
0.01
Treshold: 0.7
All
precision recall f1-score support
0 0.69 0.88 0.77 28055468
1 0.76 0.50 0.60 21729815
accuracy 0.71 49785283
macro avg 0.73 0.69 0.69 49785283
weighted avg 0.72 0.71 0.70 49785283
Accuracy: 0.7110544294786875
0-1%
precision recall f1-score support
0 0.70 0.88 0.78 27764588
1 0.68 0.39 0.50 17098553
accuracy 0.70 44863141
macro avg 0.69 0.64 0.64 44863141
weighted avg 0.69 0.70 0.67 44863141
Accuracy: 0.6968400406917563
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: 0.8325159000267499
10-20%
precision recall f1-score support
0 0.01 0.06 0.02 2455
1 0.99 0.94 0.97 257616
accuracy 0.93 260071
macro avg 0.50 0.50 0.49 260071
weighted avg 0.98 0.93 0.96 260071
Accuracy: 0.934371767709587
20-40%
precision recall f1-score support
0 0.01 0.10 0.01 659
1 1.00 0.92 0.95 130568
accuracy 0.91 131227
macro avg 0.50 0.51 0.48 131227
weighted avg 0.99 0.91 0.95 131227
Accuracy: 0.9129371242198633
40-80%
precision recall f1-score support
0 0.00 0.17 0.01 169
1 1.00 0.87 0.93 65234
accuracy 0.87 65403
macro avg 0.50 0.52 0.47 65403
weighted avg 0.99 0.87 0.93 65403
Accuracy: 0.8724676238093054
80-90%
precision recall f1-score support
0 0.00 0.13 0.00 15
1 1.00 0.85 0.92 7371
accuracy 0.85 7386
macro avg 0.50 0.49 0.46 7386
weighted avg 1.00 0.85 0.92 7386
Accuracy: 0.8479555916598971
90-100%
precision recall f1-score support
0 0.01 0.33 0.01 18
1 1.00 0.85 0.92 5686
accuracy 0.85 5704
macro avg 0.50 0.59 0.47 5704
weighted avg 0.99 0.85 0.91 5704
Accuracy: 0.8467741935483871
0.1
Treshold: 0.7
All
precision recall f1-score support
0 0.69 0.86 0.77 26119367
1 0.76 0.54 0.63 21615229
accuracy 0.71 47734596
macro avg 0.73 0.70 0.70 47734596
weighted avg 0.72 0.71 0.71 47734596
Accuracy: 0.7148622981956315
0-1%
precision recall f1-score support
0 0.96 0.98 0.97 12053010
1 0.15 0.08 0.10 508421
accuracy 0.95 12561431
macro avg 0.56 0.53 0.54 12561431
weighted avg 0.93 0.95 0.94 12561431
Accuracy: 0.9455314446260144
1-10%
precision recall f1-score support
0 0.56 0.78 0.65 13368467
1 0.68 0.43 0.53 14466820
accuracy 0.60 27835287
macro avg 0.62 0.60 0.59 27835287
weighted avg 0.62 0.60 0.59 27835287
Accuracy: 0.5979200430015326
10-20%
precision recall f1-score support
0 0.17 0.28 0.21 503365
1 0.88 0.79 0.84 3387274
accuracy 0.73 3890639
macro avg 0.53 0.54 0.52 3890639
weighted avg 0.79 0.73 0.76 3890639
Accuracy: 0.7282690581161604
20-40%
precision recall f1-score support
0 0.10 0.23 0.14 147488
1 0.94 0.83 0.88 1970425
accuracy 0.79 2117913
macro avg 0.52 0.53 0.51 2117913
weighted avg 0.88 0.79 0.83 2117913
Accuracy: 0.7927138650171183
40-80%
precision recall f1-score support
0 0.05 0.23 0.09 41616
1 0.97 0.84 0.90 1064279
accuracy 0.82 1105895
macro avg 0.51 0.53 0.49 1105895
weighted avg 0.93 0.82 0.87 1105895
Accuracy: 0.8195850419795732
80-90%
precision recall f1-score support
0 0.04 0.24 0.06 3093
1 0.98 0.84 0.90 120943
accuracy 0.82 124036
macro avg 0.51 0.54 0.48 124036
weighted avg 0.95 0.82 0.88 124036
Accuracy: 0.8249137347221774
90-100%
precision recall f1-score support
0 0.03 0.23 0.06 2328
1 0.98 0.84 0.90 97067
accuracy 0.83 99395
macro avg 0.51 0.53 0.48 99395
weighted avg 0.96 0.83 0.88 99395
Accuracy: 0.8263393530861713
0.2
Treshold: 0.7
All
precision recall f1-score support
0 0.70 0.86 0.77 24893266
1 0.76 0.54 0.63 20563095
accuracy 0.72 45456361
macro avg 0.73 0.70 0.70 45456361
weighted avg 0.73 0.72 0.71 45456361
Accuracy: 0.7165491095954646
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.02 0.03 0.03 3872
accuracy 1.00 4877461
macro avg 0.51 0.52 0.51 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9978880405194424
1-10%
precision recall f1-score support
0 0.73 0.89 0.80 16949103
1 0.56 0.29 0.38 8016772
accuracy 0.70 24965875
macro avg 0.64 0.59 0.59 24965875
weighted avg 0.67 0.70 0.67 24965875
Accuracy: 0.6978752397021935
10-20%
precision recall f1-score support
0 0.34 0.52 0.41 2057494
1 0.78 0.63 0.69 5461156
accuracy 0.60 7518650
macro avg 0.56 0.57 0.55 7518650
weighted avg 0.66 0.60 0.62 7518650
Accuracy: 0.5972331469080221
20-40%
precision recall f1-score support
0 0.22 0.38 0.28 744974
1 0.87 0.75 0.80 4060539
accuracy 0.69 4805513
macro avg 0.54 0.56 0.54 4805513
weighted avg 0.77 0.69 0.72 4805513
Accuracy: 0.6909695177185037
40-80%
precision recall f1-score support
0 0.13 0.33 0.19 235909
1 0.93 0.79 0.85 2483775
accuracy 0.75 2719684
macro avg 0.53 0.56 0.52 2719684
weighted avg 0.86 0.75 0.79 2719684
Accuracy: 0.7465668805640655
80-90%
precision recall f1-score support
0 0.09 0.31 0.14 18577
1 0.95 0.80 0.87 296772
accuracy 0.77 315349
macro avg 0.52 0.56 0.50 315349
weighted avg 0.90 0.77 0.82 315349
Accuracy: 0.7704860329349388
90-100%
precision recall f1-score support
0 0.08 0.31 0.13 13620
1 0.95 0.80 0.87 240209
accuracy 0.78 253829
macro avg 0.52 0.56 0.50 253829
weighted avg 0.91 0.78 0.83 253829
Accuracy: 0.7770625105878367
0.4
Treshold: 0.7
All
precision recall f1-score support
0 0.72 0.86 0.78 22531902
1 0.75 0.55 0.64 16938696
accuracy 0.73 39470598
macro avg 0.74 0.71 0.71 39470598
weighted avg 0.73 0.73 0.72 39470598
Accuracy: 0.7295214782405881
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.91 0.97 0.94 11439888
1 0.37 0.17 0.24 1271288
accuracy 0.89 12711176
macro avg 0.64 0.57 0.59 12711176
weighted avg 0.86 0.89 0.87 12711176
Accuracy: 0.8877049613662812
10-20%
precision recall f1-score support
0 0.64 0.82 0.71 5044441
1 0.61 0.38 0.47 3812372
accuracy 0.63 8856813
macro avg 0.62 0.60 0.59 8856813
weighted avg 0.62 0.63 0.61 8856813
Accuracy: 0.6289794082815117
20-40%
precision recall f1-score support
0 0.46 0.64 0.54 2995598
1 0.76 0.60 0.67 5583215
accuracy 0.62 8578813
macro avg 0.61 0.62 0.60 8578813
weighted avg 0.65 0.62 0.62 8578813
Accuracy: 0.6154488971842608
40-80%
precision recall f1-score support
0 0.30 0.53 0.39 1295061
1 0.85 0.68 0.76 5001564
accuracy 0.65 6296625
macro avg 0.58 0.61 0.57 6296625
weighted avg 0.74 0.65 0.68 6296625
Accuracy: 0.6527049014352927
80-90%
precision recall f1-score support
0 0.22 0.50 0.31 117971
1 0.89 0.70 0.79 692761
accuracy 0.67 810732
macro avg 0.56 0.60 0.55 810732
weighted avg 0.79 0.67 0.72 810732
Accuracy: 0.6739526748666637
90-100%
precision recall f1-score support
0 0.21 0.49 0.29 88944
1 0.90 0.71 0.79 577496
accuracy 0.68 666440
macro avg 0.55 0.60 0.54 666440
weighted avg 0.81 0.68 0.73 666440
Accuracy: 0.6813351539523438
LR_7_decay_rtime
0.01
Treshold: 0.7
All
precision recall f1-score support
0 0.76 0.85 0.81 28055468
1 0.78 0.66 0.71 21729815
accuracy 0.77 49785283
macro avg 0.77 0.76 0.76 49785283
weighted avg 0.77 0.77 0.77 49785283
Accuracy: 0.7690147307187146
0-1%
precision recall f1-score support
0 0.76 0.86 0.81 27764588
1 0.72 0.57 0.63 17098553
accuracy 0.75 44863141
macro avg 0.74 0.72 0.72 44863141
weighted avg 0.75 0.75 0.74 44863141
Accuracy: 0.7502416070243499
1-10%
precision recall f1-score support
0 0.11 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.93 4452351
macro avg 0.52 0.50 0.48 4452351
weighted avg 0.88 0.93 0.90 4452351
Accuracy: 0.9345509821665003
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905487347685824
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
0.1
Treshold: 0.7
All
precision recall f1-score support
0 0.69 0.84 0.76 26119367
1 0.74 0.54 0.62 21615229
accuracy 0.70 47734596
macro avg 0.71 0.69 0.69 47734596
weighted avg 0.71 0.70 0.70 47734596
Accuracy: 0.7039990869515267
0-1%
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.25 0.06 0.09 508421
accuracy 0.95 12561431
macro avg 0.60 0.52 0.53 12561431
weighted avg 0.93 0.95 0.94 12561431
Accuracy: 0.9548778319922309
1-10%
precision recall f1-score support
0 0.56 0.73 0.63 13368467
1 0.65 0.48 0.55 14466820
accuracy 0.60 27835287
macro avg 0.61 0.60 0.59 27835287
weighted avg 0.61 0.60 0.59 27835287
Accuracy: 0.5969808394646694
10-20%
precision recall f1-score support
0 0.15 0.37 0.21 503365
1 0.88 0.69 0.78 3387274
accuracy 0.65 3890639
macro avg 0.52 0.53 0.50 3890639
weighted avg 0.79 0.65 0.70 3890639
Accuracy: 0.6523319177132599
20-40%
precision recall f1-score support
0 0.08 0.33 0.13 147488
1 0.94 0.73 0.82 1970425
accuracy 0.70 2117913
macro avg 0.51 0.53 0.48 2117913
weighted avg 0.88 0.70 0.77 2117913
Accuracy: 0.7008588171468799
40-80%
precision recall f1-score support
0 0.05 0.31 0.08 41616
1 0.97 0.74 0.84 1064279
accuracy 0.73 1105895
macro avg 0.51 0.53 0.46 1105895
weighted avg 0.93 0.73 0.81 1105895
Accuracy: 0.7286134759629078
80-90%
precision recall f1-score support
0 0.03 0.31 0.06 3093
1 0.98 0.75 0.85 120943
accuracy 0.74 124036
macro avg 0.50 0.53 0.45 124036
weighted avg 0.95 0.74 0.83 124036
Accuracy: 0.7386000838466251
90-100%
precision recall f1-score support
0 0.03 0.29 0.05 2328
1 0.98 0.75 0.85 97067
accuracy 0.74 99395
macro avg 0.50 0.52 0.45 99395
weighted avg 0.96 0.74 0.83 99395
Accuracy: 0.7406609990442176
0.2
Treshold: 0.7
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: 0.547599773769836
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: 0.9992042991220227
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.11 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.39 0.50 0.40 24965875
weighted avg 0.50 0.68 0.55 24965875
Accuracy: 0.6788619265297131
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.17 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.22 0.50 0.21 7518650
weighted avg 0.20 0.27 0.12 7518650
Accuracy: 0.2736177372267628
20-40%
precision recall f1-score support
0 0.15 1.00 0.27 744974
1 0.12 0.00 0.00 4060539
accuracy 0.15 4805513
macro avg 0.14 0.50 0.13 4805513
weighted avg 0.13 0.15 0.04 4805513
Accuracy: 0.15498303719082646
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 0.06 0.09 0.01 2719684
Accuracy: 0.08668433538602278
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: 0.058861769024160536
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: 0.05360301620382226
0.4
Treshold: 0.7
All
precision recall f1-score support
0 0.67 0.91 0.77 22531902
1 0.77 0.40 0.53 16938696
accuracy 0.69 39470598
macro avg 0.72 0.66 0.65 39470598
weighted avg 0.71 0.69 0.67 39470598
Accuracy: 0.6930104023252954
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 0.93 0.96 0.95 11439888
1 0.52 0.36 0.43 1271288
accuracy 0.90 12711176
macro avg 0.73 0.66 0.69 12711176
weighted avg 0.89 0.90 0.89 12711176
Accuracy: 0.9030441400543899
10-20%
precision recall f1-score support
0 0.65 0.87 0.75 5044441
1 0.69 0.39 0.50 3812372
accuracy 0.66 8856813
macro avg 0.67 0.63 0.62 8856813
weighted avg 0.67 0.66 0.64 8856813
Accuracy: 0.6643612098392503
20-40%
precision recall f1-score support
0 0.42 0.81 0.56 2995598
1 0.80 0.41 0.54 5583215
accuracy 0.55 8578813
macro avg 0.61 0.61 0.55 8578813
weighted avg 0.67 0.55 0.55 8578813
Accuracy: 0.55040703183529
40-80%
precision recall f1-score support
0 0.25 0.78 0.38 1295061
1 0.88 0.41 0.56 5001564
accuracy 0.48 6296625
macro avg 0.57 0.59 0.47 6296625
weighted avg 0.75 0.48 0.52 6296625
Accuracy: 0.48414015444781927
80-90%
precision recall f1-score support
0 0.18 0.77 0.29 117971
1 0.91 0.40 0.56 692761
accuracy 0.46 810732
macro avg 0.54 0.58 0.42 810732
weighted avg 0.80 0.46 0.52 810732
Accuracy: 0.4561112673485196
90-100%
precision recall f1-score support
0 0.16 0.76 0.27 88944
1 0.92 0.40 0.56 577496
accuracy 0.45 666440
macro avg 0.54 0.58 0.42 666440
weighted avg 0.82 0.45 0.52 666440
Accuracy: 0.4510353520196867
LR_7_decay_rtime_w_0_5
0.01
Treshold: 0.7
All
precision recall f1-score support
0 0.59 1.00 0.74 28055468
1 0.94 0.09 0.17 21729815
accuracy 0.60 49785283
macro avg 0.76 0.54 0.45 49785283
weighted avg 0.74 0.60 0.49 49785283
Accuracy: 0.6014690726976484
0-1%
precision recall f1-score support
0 0.62 1.00 0.77 27764588
1 0.84 0.02 0.03 17098553
accuracy 0.62 44863141
macro avg 0.73 0.51 0.40 44863141
weighted avg 0.70 0.62 0.49 44863141
Accuracy: 0.623780376857697
1-10%
precision recall f1-score support
0 0.07 0.72 0.13 287564
1 0.95 0.35 0.51 4164787
accuracy 0.37 4452351
macro avg 0.51 0.54 0.32 4452351
weighted avg 0.89 0.37 0.49 4452351
Accuracy: 0.3730179853295484
10-20%
precision recall f1-score support
0 0.01 0.39 0.02 2455
1 0.99 0.62 0.76 257616
accuracy 0.62 260071
macro avg 0.50 0.51 0.39 260071
weighted avg 0.98 0.62 0.76 260071
Accuracy: 0.6206420554387071
20-40%
precision recall f1-score support
0 0.01 0.40 0.01 659
1 1.00 0.65 0.79 130568
accuracy 0.65 131227
macro avg 0.50 0.53 0.40 131227
weighted avg 0.99 0.65 0.78 131227
Accuracy: 0.6498052992143385
40-80%
precision recall f1-score support
0 0.00 0.40 0.01 169
1 1.00 0.66 0.80 65234
accuracy 0.66 65403
macro avg 0.50 0.53 0.40 65403
weighted avg 1.00 0.66 0.80 65403
Accuracy: 0.6629665305872819
80-90%
precision recall f1-score support
0 0.00 0.33 0.00 15
1 1.00 0.66 0.79 7371
accuracy 0.66 7386
macro avg 0.50 0.50 0.40 7386
weighted avg 1.00 0.66 0.79 7386
Accuracy: 0.657324668291362
90-100%
precision recall f1-score support
0 0.00 0.44 0.01 18
1 1.00 0.68 0.81 5686
accuracy 0.68 5704
macro avg 0.50 0.56 0.41 5704
weighted avg 0.99 0.68 0.80 5704
Accuracy: 0.6760168302945302
0.1
Treshold: 0.7
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: 0.7
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: 0.7
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: 0.7
All
precision recall f1-score support
0 0.66 0.95 0.78 28055468
1 0.86 0.38 0.53 21729815
accuracy 0.70 49785283
macro avg 0.76 0.67 0.66 49785283
weighted avg 0.75 0.70 0.67 49785283
Accuracy: 0.7029971889483886
0-1%
precision recall f1-score support
0 0.67 0.96 0.79 27764588
1 0.79 0.23 0.36 17098553
accuracy 0.68 44863141
macro avg 0.73 0.60 0.58 44863141
weighted avg 0.72 0.68 0.63 44863141
Accuracy: 0.6842199256623606
1-10%
precision recall f1-score support
0 0.09 0.12 0.10 287564
1 0.94 0.92 0.93 4164787
accuracy 0.86 4452351
macro avg 0.51 0.52 0.51 4452351
weighted avg 0.88 0.86 0.87 4452351
Accuracy: 0.864138743778287
10-20%
precision recall f1-score support
0 0.01 0.04 0.02 2455
1 0.99 0.97 0.98 257616
accuracy 0.96 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.96 0.97 260071
Accuracy: 0.9649787942523388
20-40%
precision recall f1-score support
0 0.01 0.03 0.01 659
1 1.00 0.98 0.99 130568
accuracy 0.97 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.97 0.98 131227
Accuracy: 0.9727190288583905
40-80%
precision recall f1-score support
0 0.00 0.02 0.00 169
1 1.00 0.98 0.99 65234
accuracy 0.98 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 0.98 0.99 65403
Accuracy: 0.9757350580248613
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 0.98 0.99 7371
accuracy 0.98 7386
macro avg 0.50 0.49 0.49 7386
weighted avg 1.00 0.98 0.99 7386
Accuracy: 0.9777958299485513
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 0.98 0.99 5686
accuracy 0.98 5704
macro avg 0.50 0.49 0.49 5704
weighted avg 0.99 0.98 0.98 5704
Accuracy: 0.9751051893408135
0.1
Treshold: 0.7
All
precision recall f1-score support
0 0.57 0.97 0.72 26119367
1 0.78 0.12 0.20 21615229
accuracy 0.58 47734596
macro avg 0.68 0.54 0.46 47734596
weighted avg 0.67 0.58 0.48 47734596
Accuracy: 0.5848202842232079
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.25 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.60 0.50 0.49 12561431
weighted avg 0.93 0.96 0.94 12561431
Accuracy: 0.9593859170981396
1-10%
precision recall f1-score support
0 0.49 0.96 0.65 13368467
1 0.68 0.09 0.15 14466820
accuracy 0.50 27835287
macro avg 0.59 0.52 0.40 27835287
weighted avg 0.59 0.50 0.39 27835287
Accuracy: 0.5038834699279372
10-20%
precision recall f1-score support
0 0.13 0.84 0.23 503365
1 0.88 0.18 0.29 3387274
accuracy 0.26 3890639
macro avg 0.51 0.51 0.26 3890639
weighted avg 0.78 0.26 0.28 3890639
Accuracy: 0.2615213079393899
20-40%
precision recall f1-score support
0 0.07 0.82 0.13 147488
1 0.94 0.20 0.33 1970425
accuracy 0.24 2117913
macro avg 0.50 0.51 0.23 2117913
weighted avg 0.88 0.24 0.31 2117913
Accuracy: 0.24195186487830236
40-80%
precision recall f1-score support
0 0.04 0.82 0.07 41616
1 0.97 0.21 0.35 1064279
accuracy 0.23 1105895
macro avg 0.50 0.51 0.21 1105895
weighted avg 0.93 0.23 0.34 1105895
Accuracy: 0.23316408881494174
80-90%
precision recall f1-score support
0 0.03 0.82 0.05 3093
1 0.98 0.22 0.35 120943
accuracy 0.23 124036
macro avg 0.50 0.52 0.20 124036
weighted avg 0.96 0.23 0.35 124036
Accuracy: 0.2311022606340095
90-100%
precision recall f1-score support
0 0.02 0.81 0.05 2328
1 0.98 0.21 0.35 97067
accuracy 0.23 99395
macro avg 0.50 0.51 0.20 99395
weighted avg 0.96 0.23 0.34 99395
Accuracy: 0.2285929875748277
0.2
Treshold: 0.7
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: 0.7
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: 0.7
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.16 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.36 0.50 0.36 49785283
weighted avg 0.39 0.56 0.41 49785283
Accuracy: 0.5634782270897205
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.14 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.38 0.50 0.38 44863141
weighted avg 0.44 0.62 0.47 44863141
Accuracy: 0.6188176837640503
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.38 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.22 0.50 0.06 4452351
weighted avg 0.36 0.06 0.01 4452351
Accuracy: 0.06457532211633808
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.44 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.22 0.50 0.01 260071
weighted avg 0.43 0.01 0.00 260071
Accuracy: 0.009432039712232429
20-40%
precision recall f1-score support
0 0.00 0.99 0.01 659
1 0.22 0.00 0.00 130568
accuracy 0.00 131227
macro avg 0.11 0.49 0.00 131227
weighted avg 0.22 0.00 0.00 131227
Accuracy: 0.00498373048229404
40-80%
precision recall f1-score support
0 0.00 0.98 0.01 169
1 0.20 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.10 0.49 0.00 65403
weighted avg 0.20 0.00 0.00 65403
Accuracy: 0.002538109872635812
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: 0.7
All
precision recall f1-score support
0 0.58 0.94 0.72 26119367
1 0.72 0.17 0.28 21615229
accuracy 0.60 47734596
macro avg 0.65 0.56 0.50 47734596
weighted avg 0.64 0.60 0.52 47734596
Accuracy: 0.5954824463162943
0-1%
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.40 0.15 0.21 508421
accuracy 0.96 12561431
macro avg 0.68 0.57 0.60 12561431
weighted avg 0.94 0.96 0.95 12561431
Accuracy: 0.9565823352450847
1-10%
precision recall f1-score support
0 0.50 0.91 0.65 13368467
1 0.67 0.17 0.27 14466820
accuracy 0.52 27835287
macro avg 0.58 0.54 0.46 27835287
weighted avg 0.59 0.52 0.45 27835287
Accuracy: 0.5243259033039609
10-20%
precision recall f1-score support
0 0.13 0.84 0.23 503365
1 0.88 0.18 0.31 3387274
accuracy 0.27 3890639
macro avg 0.51 0.51 0.27 3890639
weighted avg 0.79 0.27 0.30 3890639
Accuracy: 0.2688671449599924
20-40%
precision recall f1-score support
0 0.07 0.83 0.13 147488
1 0.94 0.19 0.31 1970425
accuracy 0.23 2117913
macro avg 0.50 0.51 0.22 2117913
weighted avg 0.88 0.23 0.30 2117913
Accuracy: 0.23132819903367136
40-80%
precision recall f1-score support
0 0.04 0.84 0.07 41616
1 0.97 0.19 0.31 1064279
accuracy 0.21 1105895
macro avg 0.50 0.51 0.19 1105895
weighted avg 0.93 0.21 0.30 1105895
Accuracy: 0.21072163270473238
80-90%
precision recall f1-score support
0 0.03 0.84 0.05 3093
1 0.98 0.19 0.32 120943
accuracy 0.20 124036
macro avg 0.50 0.51 0.18 124036
weighted avg 0.95 0.20 0.31 124036
Accuracy: 0.204295527105034
90-100%
precision recall f1-score support
0 0.02 0.83 0.05 2328
1 0.98 0.19 0.31 97067
accuracy 0.20 99395
macro avg 0.50 0.51 0.18 99395
weighted avg 0.96 0.20 0.31 99395
Accuracy: 0.2005634086221641
0.2
Treshold: 0.7
All
precision recall f1-score support
0 0.60 0.93 0.73 24893266
1 0.74 0.26 0.38 20563095
accuracy 0.62 45456361
macro avg 0.67 0.59 0.56 45456361
weighted avg 0.67 0.62 0.57 45456361
Accuracy: 0.6240705453742766
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.25 0.21 0.23 3872
accuracy 1.00 4877461
macro avg 0.62 0.61 0.61 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9988602676679527
1-10%
precision recall f1-score support
0 0.72 0.93 0.81 16949103
1 0.62 0.25 0.35 8016772
accuracy 0.71 24965875
macro avg 0.67 0.59 0.58 24965875
weighted avg 0.69 0.71 0.66 24965875
Accuracy: 0.7087652245314855
10-20%
precision recall f1-score support
0 0.29 0.81 0.43 2057494
1 0.79 0.26 0.40 5461156
accuracy 0.41 7518650
macro avg 0.54 0.54 0.41 7518650
weighted avg 0.65 0.41 0.41 7518650
Accuracy: 0.4141135709203115
20-40%
precision recall f1-score support
0 0.17 0.79 0.27 744974
1 0.87 0.27 0.41 4060539
accuracy 0.35 4805513
macro avg 0.52 0.53 0.34 4805513
weighted avg 0.76 0.35 0.39 4805513
Accuracy: 0.3480512902576686
40-80%
precision recall f1-score support
0 0.09 0.79 0.17 235909
1 0.93 0.27 0.41 2483775
accuracy 0.31 2719684
macro avg 0.51 0.53 0.29 2719684
weighted avg 0.86 0.31 0.39 2719684
Accuracy: 0.3115865666746578
80-90%
precision recall f1-score support
0 0.06 0.79 0.12 18577
1 0.95 0.26 0.41 296772
accuracy 0.30 315349
macro avg 0.51 0.53 0.27 315349
weighted avg 0.90 0.30 0.40 315349
Accuracy: 0.29552337251743305
90-100%
precision recall f1-score support
0 0.06 0.79 0.11 13620
1 0.96 0.26 0.41 240209
accuracy 0.29 253829
macro avg 0.51 0.53 0.26 253829
weighted avg 0.91 0.29 0.40 253829
Accuracy: 0.2930319230663163
0.4
Treshold: 0.7
All
precision recall f1-score support
0 0.67 0.91 0.77 22531902
1 0.77 0.41 0.53 16938696
accuracy 0.69 39470598
macro avg 0.72 0.66 0.65 39470598
weighted avg 0.71 0.69 0.67 39470598
Accuracy: 0.6939022560539874
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 0.93 0.96 0.95 11439888
1 0.52 0.36 0.43 1271288
accuracy 0.90 12711176
macro avg 0.73 0.66 0.69 12711176
weighted avg 0.89 0.90 0.89 12711176
Accuracy: 0.9025836004473543
10-20%
precision recall f1-score support
0 0.66 0.87 0.75 5044441
1 0.69 0.40 0.51 3812372
accuracy 0.66 8856813
macro avg 0.67 0.63 0.63 8856813
weighted avg 0.67 0.66 0.64 8856813
Accuracy: 0.6646752054040206
20-40%
precision recall f1-score support
0 0.43 0.81 0.56 2995598
1 0.80 0.41 0.55 5583215
accuracy 0.55 8578813
macro avg 0.61 0.61 0.55 8578813
weighted avg 0.67 0.55 0.55 8578813
Accuracy: 0.5521397890360823
40-80%
precision recall f1-score support
0 0.25 0.77 0.38 1295061
1 0.88 0.41 0.56 5001564
accuracy 0.49 6296625
macro avg 0.57 0.59 0.47 6296625
weighted avg 0.75 0.49 0.52 6296625
Accuracy: 0.4870548905167451
80-90%
precision recall f1-score support
0 0.18 0.76 0.29 117971
1 0.91 0.41 0.56 692761
accuracy 0.46 810732
macro avg 0.54 0.59 0.43 810732
weighted avg 0.80 0.46 0.52 810732
Accuracy: 0.4594588594011338
90-100%
precision recall f1-score support
0 0.17 0.76 0.27 88944
1 0.92 0.41 0.56 577496
accuracy 0.45 666440
macro avg 0.54 0.58 0.42 666440
weighted avg 0.82 0.45 0.53 666440
Accuracy: 0.4545510473561011
LR_7_decay_vtime_w_0_5
0.01
Treshold: 0.7
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: 0.7
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: 0.7
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: 0.7
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: 0.7
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: 0.5635285230777939
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.15 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.38 0.50 0.38 44863141
weighted avg 0.44 0.62 0.47 44863141
Accuracy: 0.6188720713959819
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 1.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.53 0.50 0.06 4452351
weighted avg 0.94 0.06 0.01 4452351
Accuracy: 0.0645874505401753
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: 0.009443575023743517
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 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: 0.7
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: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.06 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.30 0.50 0.35 45456361
weighted avg 0.33 0.55 0.39 45456361
Accuracy: 0.5476293185897569
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: 0.9992010187267515
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.14 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.41 0.50 0.40 24965875
weighted avg 0.51 0.68 0.55 24965875
Accuracy: 0.6788906056767487
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.50 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.39 0.50 0.21 7518650
weighted avg 0.44 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: 0.7
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: 0.7
All
precision recall f1-score support
0 0.58 1.00 0.73 28055468
1 0.94 0.07 0.13 21729815
accuracy 0.59 49785283
macro avg 0.76 0.53 0.43 49785283
weighted avg 0.74 0.59 0.47 49785283
Accuracy: 0.5915591762328638
0-1%
precision recall f1-score support
0 0.62 1.00 0.77 27764588
1 0.79 0.01 0.01 17098553
accuracy 0.62 44863141
macro avg 0.70 0.50 0.39 44863141
weighted avg 0.68 0.62 0.48 44863141
Accuracy: 0.6205877559932774
1-10%
precision recall f1-score support
0 0.07 0.80 0.13 287564
1 0.95 0.28 0.44 4164787
accuracy 0.32 4452351
macro avg 0.51 0.54 0.28 4452351
weighted avg 0.90 0.32 0.42 4452351
Accuracy: 0.3166715741863119
10-20%
precision recall f1-score support
0 0.01 0.44 0.02 2455
1 0.99 0.55 0.71 257616
accuracy 0.55 260071
macro avg 0.50 0.50 0.36 260071
weighted avg 0.98 0.55 0.70 260071
Accuracy: 0.5490539122008989
20-40%
precision recall f1-score support
0 0.00 0.61 0.01 659
1 0.99 0.36 0.53 130568
accuracy 0.36 131227
macro avg 0.50 0.49 0.27 131227
weighted avg 0.99 0.36 0.53 131227
Accuracy: 0.36371326022845907
40-80%
precision recall f1-score support
0 0.00 0.82 0.00 169
1 1.00 0.13 0.23 65234
accuracy 0.13 65403
macro avg 0.50 0.48 0.12 65403
weighted avg 0.99 0.13 0.23 65403
Accuracy: 0.1306209195296852
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 1.00 0.03 0.06 7371
accuracy 0.03 7386
macro avg 0.50 0.52 0.03 7386
weighted avg 1.00 0.03 0.06 7386
Accuracy: 0.034930950446791224
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 1.00 0.03 0.05 5686
accuracy 0.03 5704
macro avg 0.50 0.51 0.03 5704
weighted avg 1.00 0.03 0.05 5704
Accuracy: 0.029628330995792426
0.1
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.92 0.01 0.01 21615229
accuracy 0.55 47734596
macro avg 0.74 0.50 0.36 47734596
weighted avg 0.72 0.55 0.39 47734596
Accuracy: 0.5498496310726082
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: 0.959470620823376
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.80 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.64 0.50 0.32 27835287
weighted avg 0.64 0.48 0.31 27835287
Accuracy: 0.4803568937514458
10-20%
precision recall f1-score support
0 0.13 0.99 0.23 503365
1 0.89 0.01 0.02 3387274
accuracy 0.14 3890639
macro avg 0.51 0.50 0.12 3890639
weighted avg 0.79 0.14 0.05 3890639
Accuracy: 0.13679475273856043
20-40%
precision recall f1-score support
0 0.07 0.97 0.13 147488
1 0.93 0.03 0.07 1970425
accuracy 0.10 2117913
macro avg 0.50 0.50 0.10 2117913
weighted avg 0.87 0.10 0.07 2117913
Accuracy: 0.09932844266974139
40-80%
precision recall f1-score support
0 0.04 0.97 0.07 41616
1 0.96 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: 0.06571781226970011
80-90%
precision recall f1-score support
0 0.02 0.99 0.05 3093
1 0.98 0.02 0.03 120943
accuracy 0.04 124036
macro avg 0.50 0.50 0.04 124036
weighted avg 0.95 0.04 0.03 124036
Accuracy: 0.03958528169241188
90-100%
precision recall f1-score support
0 0.02 0.99 0.05 2328
1 0.98 0.01 0.02 97067
accuracy 0.04 99395
macro avg 0.50 0.50 0.03 99395
weighted avg 0.96 0.04 0.02 99395
Accuracy: 0.03500176065194426
0.2
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.85 0.01 0.01 20563095
accuracy 0.55 45456361
macro avg 0.70 0.50 0.36 45456361
weighted avg 0.69 0.55 0.39 45456361
Accuracy: 0.5496577695693678
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: 0.9992057342949539
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.57 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.62 0.50 0.41 24965875
weighted avg 0.64 0.68 0.55 24965875
Accuracy: 0.678973919399981
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.78 0.00 0.01 5461156
accuracy 0.28 7518650
macro avg 0.53 0.50 0.22 7518650
weighted avg 0.64 0.28 0.12 7518650
Accuracy: 0.27544559196132284
20-40%
precision recall f1-score support
0 0.16 0.99 0.27 744974
1 0.88 0.01 0.02 4060539
accuracy 0.16 4805513
macro avg 0.52 0.50 0.14 4805513
weighted avg 0.76 0.16 0.05 4805513
Accuracy: 0.1605220920222253
40-80%
precision recall f1-score support
0 0.09 0.99 0.16 235909
1 0.94 0.02 0.03 2483775
accuracy 0.10 2719684
macro avg 0.51 0.50 0.10 2719684
weighted avg 0.86 0.10 0.04 2719684
Accuracy: 0.10034474593371877
80-90%
precision recall f1-score support
0 0.06 0.98 0.11 18577
1 0.95 0.02 0.05 296772
accuracy 0.08 315349
macro avg 0.51 0.50 0.08 315349
weighted avg 0.90 0.08 0.05 315349
Accuracy: 0.08098012043799092
90-100%
precision recall f1-score support
0 0.05 0.98 0.10 13620
1 0.96 0.03 0.05 240209
accuracy 0.08 253829
macro avg 0.51 0.50 0.08 253829
weighted avg 0.91 0.08 0.06 253829
Accuracy: 0.07825740951585516
0.4
Treshold: 0.7
All
precision recall f1-score support
0 0.58 1.00 0.73 22531902
1 0.87 0.03 0.07 16938696
accuracy 0.58 39470598
macro avg 0.72 0.52 0.40 39470598
weighted avg 0.70 0.58 0.45 39470598
Accuracy: 0.5835130747195673
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 0.53 0.01 0.01 1271288
accuracy 0.90 12711176
macro avg 0.72 0.50 0.48 12711176
weighted avg 0.86 0.90 0.85 12711176
Accuracy: 0.9000747059123404
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.75 0.02 0.04 3812372
accuracy 0.57 8856813
macro avg 0.66 0.51 0.38 8856813
weighted avg 0.65 0.57 0.43 8856813
Accuracy: 0.5748918939577927
20-40%
precision recall f1-score support
0 0.35 0.99 0.52 2995598
1 0.86 0.03 0.06 5583215
accuracy 0.37 8578813
macro avg 0.61 0.51 0.29 8578813
weighted avg 0.68 0.37 0.22 8578813
Accuracy: 0.3670397058427547
40-80%
precision recall f1-score support
0 0.21 0.98 0.35 1295061
1 0.92 0.05 0.09 5001564
accuracy 0.24 6296625
macro avg 0.56 0.52 0.22 6296625
weighted avg 0.77 0.24 0.15 6296625
Accuracy: 0.2413643817124253
80-90%
precision recall f1-score support
0 0.15 0.98 0.26 117971
1 0.94 0.06 0.11 692761
accuracy 0.19 810732
macro avg 0.55 0.52 0.19 810732
weighted avg 0.83 0.19 0.13 810732
Accuracy: 0.19361885308585328
90-100%
precision recall f1-score support
0 0.14 0.98 0.24 88944
1 0.94 0.06 0.12 577496
accuracy 0.19 666440
macro avg 0.54 0.52 0.18 666440
weighted avg 0.84 0.19 0.14 666440
Accuracy: 0.1851239421403277
LR_7_w_0_75
0.01
Treshold: 0.7
All
precision recall f1-score support
0 0.60 0.98 0.75 28055468
1 0.89 0.17 0.28 21729815
accuracy 0.63 49785283
macro avg 0.75 0.58 0.51 49785283
weighted avg 0.73 0.63 0.54 49785283
Accuracy: 0.6273568235014352
0-1%
precision recall f1-score support
0 0.63 0.99 0.77 27764588
1 0.77 0.06 0.11 17098553
accuracy 0.63 44863141
macro avg 0.70 0.52 0.44 44863141
weighted avg 0.69 0.63 0.52 44863141
Accuracy: 0.6343823095221978
1-10%
precision recall f1-score support
0 0.08 0.53 0.13 287564
1 0.94 0.55 0.69 4164787
accuracy 0.55 4452351
macro avg 0.51 0.54 0.41 4452351
weighted avg 0.89 0.55 0.66 4452351
Accuracy: 0.5476079940687515
10-20%
precision recall f1-score support
0 0.01 0.23 0.02 2455
1 0.99 0.78 0.87 257616
accuracy 0.78 260071
macro avg 0.50 0.50 0.45 260071
weighted avg 0.98 0.78 0.87 260071
Accuracy: 0.7768071026758078
20-40%
precision recall f1-score support
0 0.01 0.33 0.01 659
1 1.00 0.69 0.82 130568
accuracy 0.69 131227
macro avg 0.50 0.51 0.41 131227
weighted avg 0.99 0.69 0.81 131227
Accuracy: 0.6893246054546701
40-80%
precision recall f1-score support
0 0.00 0.48 0.01 169
1 1.00 0.55 0.71 65234
accuracy 0.55 65403
macro avg 0.50 0.52 0.36 65403
weighted avg 0.99 0.55 0.71 65403
Accuracy: 0.5524058529425255
80-90%
precision recall f1-score support
0 0.00 0.40 0.00 15
1 1.00 0.46 0.63 7371
accuracy 0.46 7386
macro avg 0.50 0.43 0.31 7386
weighted avg 1.00 0.46 0.63 7386
Accuracy: 0.45667479014351475
90-100%
precision recall f1-score support
0 0.00 0.50 0.01 18
1 1.00 0.46 0.63 5686
accuracy 0.46 5704
macro avg 0.50 0.48 0.32 5704
weighted avg 0.99 0.46 0.63 5704
Accuracy: 0.46037868162692847
0.1
Treshold: 0.7
All
precision recall f1-score support
0 0.60 0.96 0.74 26119367
1 0.83 0.22 0.34 21615229
accuracy 0.63 47734596
macro avg 0.72 0.59 0.54 47734596
weighted avg 0.70 0.63 0.56 47734596
Accuracy: 0.625837767643409
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.23 0.01 0.03 508421
accuracy 0.96 12561431
macro avg 0.60 0.51 0.50 12561431
weighted avg 0.93 0.96 0.94 12561431
Accuracy: 0.9581693359618024
1-10%
precision recall f1-score support
0 0.50 0.95 0.65 13368467
1 0.71 0.11 0.19 14466820
accuracy 0.51 27835287
macro avg 0.61 0.53 0.42 27835287
weighted avg 0.61 0.51 0.41 27835287
Accuracy: 0.5148418983429199
10-20%
precision recall f1-score support
0 0.14 0.66 0.23 503365
1 0.89 0.39 0.54 3387274
accuracy 0.43 3890639
macro avg 0.51 0.53 0.39 3890639
weighted avg 0.79 0.43 0.50 3890639
Accuracy: 0.4256416490967165
20-40%
precision recall f1-score support
0 0.08 0.53 0.13 147488
1 0.94 0.52 0.67 1970425
accuracy 0.53 2117913
macro avg 0.51 0.53 0.40 2117913
weighted avg 0.88 0.53 0.64 2117913
Accuracy: 0.5250527287948088
40-80%
precision recall f1-score support
0 0.04 0.49 0.08 41616
1 0.97 0.56 0.71 1064279
accuracy 0.56 1105895
macro avg 0.50 0.53 0.39 1105895
weighted avg 0.93 0.56 0.68 1105895
Accuracy: 0.5566577297121336
80-90%
precision recall f1-score support
0 0.03 0.50 0.05 3093
1 0.98 0.56 0.71 120943
accuracy 0.55 124036
macro avg 0.50 0.53 0.38 124036
weighted avg 0.95 0.55 0.69 124036
Accuracy: 0.5545970524686381
90-100%
precision recall f1-score support
0 0.03 0.48 0.05 2328
1 0.98 0.55 0.71 97067
accuracy 0.55 99395
macro avg 0.50 0.52 0.38 99395
weighted avg 0.96 0.55 0.69 99395
Accuracy: 0.5526837366064692
0.2
Treshold: 0.7
All
precision recall f1-score support
0 0.60 0.96 0.74 24893266
1 0.82 0.23 0.36 20563095
accuracy 0.63 45456361
macro avg 0.71 0.60 0.55 45456361
weighted avg 0.70 0.63 0.57 45456361
Accuracy: 0.6300721696573995
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.05 0.01 0.01 3872
accuracy 1.00 4877461
macro avg 0.52 0.50 0.51 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9991124480544283
1-10%
precision recall f1-score support
0 0.69 0.97 0.81 16949103
1 0.61 0.09 0.15 8016772
accuracy 0.69 24965875
macro avg 0.65 0.53 0.48 24965875
weighted avg 0.67 0.69 0.60 24965875
Accuracy: 0.6885729020112453
10-20%
precision recall f1-score support
0 0.29 0.85 0.43 2057494
1 0.79 0.21 0.33 5461156
accuracy 0.39 7518650
macro avg 0.54 0.53 0.38 7518650
weighted avg 0.65 0.39 0.36 7518650
Accuracy: 0.3869113471168361
20-40%
precision recall f1-score support
0 0.17 0.72 0.28 744974
1 0.88 0.37 0.52 4060539
accuracy 0.42 4805513
macro avg 0.53 0.55 0.40 4805513
weighted avg 0.77 0.42 0.48 4805513
Accuracy: 0.42453532016248835
40-80%
precision recall f1-score support
0 0.10 0.62 0.17 235909
1 0.93 0.48 0.63 2483775
accuracy 0.49 2719684
macro avg 0.52 0.55 0.40 2719684
weighted avg 0.86 0.49 0.59 2719684
Accuracy: 0.4898171993511011
80-90%
precision recall f1-score support
0 0.07 0.59 0.13 18577
1 0.95 0.51 0.67 296772
accuracy 0.52 315349
macro avg 0.51 0.55 0.40 315349
weighted avg 0.90 0.52 0.63 315349
Accuracy: 0.5170874174327491
90-100%
precision recall f1-score support
0 0.06 0.58 0.12 13620
1 0.96 0.52 0.67 240209
accuracy 0.52 253829
macro avg 0.51 0.55 0.39 253829
weighted avg 0.91 0.52 0.64 253829
Accuracy: 0.5218434457843666
0.4
Treshold: 0.7
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 0.59 0.56 39470598
weighted avg 0.71 0.65 0.58 39470598
Accuracy: 0.6471920947334013
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 0.05 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: 0.8993622619968443
10-20%
precision recall f1-score support
0 0.59 0.96 0.73 5044441
1 0.68 0.13 0.21 3812372
accuracy 0.60 8856813
macro avg 0.64 0.54 0.47 8856813
weighted avg 0.63 0.60 0.51 8856813
Accuracy: 0.5986118257210579
20-40%
precision recall f1-score support
0 0.39 0.90 0.54 2995598
1 0.82 0.23 0.35 5583215
accuracy 0.46 8578813
macro avg 0.60 0.57 0.45 8578813
weighted avg 0.67 0.46 0.42 8578813
Accuracy: 0.46333006675865296
40-80%
precision recall f1-score support
0 0.24 0.85 0.38 1295061
1 0.89 0.32 0.47 5001564
accuracy 0.42 6296625
macro avg 0.57 0.58 0.42 6296625
weighted avg 0.75 0.42 0.45 6296625
Accuracy: 0.424655748119032
80-90%
precision recall f1-score support
0 0.18 0.82 0.29 117971
1 0.92 0.35 0.50 692761
accuracy 0.41 810732
macro avg 0.55 0.58 0.40 810732
weighted avg 0.81 0.41 0.47 810732
Accuracy: 0.41438601165366606
90-100%
precision recall f1-score support
0 0.16 0.81 0.27 88944
1 0.92 0.35 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: 0.4150996338755177
LR_8
0.01
Treshold: 0.7
All
precision recall f1-score support
0 0.69 0.88 0.77 28055468
1 0.76 0.50 0.60 21729815
accuracy 0.71 49785283
macro avg 0.73 0.69 0.69 49785283
weighted avg 0.72 0.71 0.70 49785283
Accuracy: 0.7116202794307708
0-1%
precision recall f1-score support
0 0.70 0.88 0.78 27764588
1 0.68 0.39 0.50 17098553
accuracy 0.70 44863141
macro avg 0.69 0.64 0.64 44863141
weighted avg 0.69 0.70 0.67 44863141
Accuracy: 0.6969017394479803
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: 0.8377809835747451
10-20%
precision recall f1-score support
0 0.01 0.07 0.02 2455
1 0.99 0.95 0.97 257616
accuracy 0.94 260071
macro avg 0.50 0.51 0.49 260071
weighted avg 0.98 0.94 0.96 260071
Accuracy: 0.9370979463300406
20-40%
precision recall f1-score support
0 0.01 0.12 0.01 659
1 1.00 0.92 0.96 130568
accuracy 0.92 131227
macro avg 0.50 0.52 0.49 131227
weighted avg 0.99 0.92 0.95 131227
Accuracy: 0.91796657700016
40-80%
precision recall f1-score support
0 0.00 0.18 0.01 169
1 1.00 0.88 0.94 65234
accuracy 0.88 65403
macro avg 0.50 0.53 0.47 65403
weighted avg 1.00 0.88 0.93 65403
Accuracy: 0.8798067366940354
80-90%
precision recall f1-score support
0 0.00 0.13 0.00 15
1 1.00 0.86 0.92 7371
accuracy 0.86 7386
macro avg 0.50 0.50 0.46 7386
weighted avg 1.00 0.86 0.92 7386
Accuracy: 0.8575683725968047
90-100%
precision recall f1-score support
0 0.01 0.33 0.01 18
1 1.00 0.86 0.92 5686
accuracy 0.85 5704
macro avg 0.50 0.59 0.47 5704
weighted avg 0.99 0.85 0.92 5704
Accuracy: 0.8539621318373072
0.1
Treshold: 0.7
All
precision recall f1-score support
0 0.69 0.86 0.77 26119367
1 0.76 0.54 0.63 21615229
accuracy 0.71 47734596
macro avg 0.73 0.70 0.70 47734596
weighted avg 0.72 0.71 0.71 47734596
Accuracy: 0.7148143455534849
0-1%
precision recall f1-score support
0 0.96 0.98 0.97 12053010
1 0.15 0.08 0.10 508421
accuracy 0.95 12561431
macro avg 0.56 0.53 0.54 12561431
weighted avg 0.93 0.95 0.94 12561431
Accuracy: 0.9455579543445328
1-10%
precision recall f1-score support
0 0.56 0.78 0.65 13368467
1 0.68 0.43 0.53 14466820
accuracy 0.60 27835287
macro avg 0.62 0.60 0.59 27835287
weighted avg 0.62 0.60 0.59 27835287
Accuracy: 0.5979673570457528
10-20%
precision recall f1-score support
0 0.17 0.28 0.21 503365
1 0.88 0.79 0.84 3387274
accuracy 0.73 3890639
macro avg 0.53 0.54 0.52 3890639
weighted avg 0.79 0.73 0.75 3890639
Accuracy: 0.7277953570094784
20-40%
precision recall f1-score support
0 0.10 0.24 0.14 147488
1 0.94 0.83 0.88 1970425
accuracy 0.79 2117913
macro avg 0.52 0.53 0.51 2117913
weighted avg 0.88 0.79 0.83 2117913
Accuracy: 0.7921571849268596
40-80%
precision recall f1-score support
0 0.05 0.23 0.09 41616
1 0.97 0.84 0.90 1064279
accuracy 0.82 1105895
macro avg 0.51 0.53 0.49 1105895
weighted avg 0.93 0.82 0.87 1105895
Accuracy: 0.8188960073062994
80-90%
precision recall f1-score support
0 0.04 0.24 0.06 3093
1 0.98 0.84 0.90 120943
accuracy 0.82 124036
macro avg 0.51 0.54 0.48 124036
weighted avg 0.95 0.82 0.88 124036
Accuracy: 0.8241800767519107
90-100%
precision recall f1-score support
0 0.03 0.23 0.06 2328
1 0.98 0.84 0.90 97067
accuracy 0.83 99395
macro avg 0.51 0.53 0.48 99395
weighted avg 0.96 0.83 0.88 99395
Accuracy: 0.8256954575179838
0.2
Treshold: 0.7
All
precision recall f1-score support
0 0.70 0.86 0.77 24893266
1 0.76 0.54 0.64 20563095
accuracy 0.72 45456361
macro avg 0.73 0.70 0.70 45456361
weighted avg 0.73 0.72 0.71 45456361
Accuracy: 0.7167501155668841
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.02 0.03 0.03 3872
accuracy 1.00 4877461
macro avg 0.51 0.52 0.51 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9978810696794911
1-10%
precision recall f1-score support
0 0.73 0.89 0.80 16949103
1 0.56 0.29 0.38 8016772
accuracy 0.70 24965875
macro avg 0.64 0.59 0.59 24965875
weighted avg 0.67 0.70 0.67 24965875
Accuracy: 0.6979341601285755
10-20%
precision recall f1-score support
0 0.34 0.52 0.41 2057494
1 0.78 0.63 0.69 5461156
accuracy 0.60 7518650
macro avg 0.56 0.57 0.55 7518650
weighted avg 0.66 0.60 0.62 7518650
Accuracy: 0.5978731554201885
20-40%
precision recall f1-score support
0 0.22 0.38 0.28 744974
1 0.87 0.75 0.80 4060539
accuracy 0.69 4805513
macro avg 0.54 0.56 0.54 4805513
weighted avg 0.77 0.69 0.72 4805513
Accuracy: 0.6913786311679939
40-80%
precision recall f1-score support
0 0.13 0.33 0.19 235909
1 0.93 0.79 0.85 2483775
accuracy 0.75 2719684
macro avg 0.53 0.56 0.52 2719684
weighted avg 0.86 0.75 0.79 2719684
Accuracy: 0.7468573554868875
80-90%
precision recall f1-score support
0 0.09 0.31 0.14 18577
1 0.95 0.80 0.87 296772
accuracy 0.77 315349
macro avg 0.52 0.56 0.50 315349
weighted avg 0.90 0.77 0.82 315349
Accuracy: 0.7707206935807629
90-100%
precision recall f1-score support
0 0.08 0.31 0.13 13620
1 0.95 0.80 0.87 240209
accuracy 0.78 253829
macro avg 0.52 0.56 0.50 253829
weighted avg 0.91 0.78 0.83 253829
Accuracy: 0.7772910108774017
0.4
Treshold: 0.7
All
precision recall f1-score support
0 0.72 0.86 0.78 22531902
1 0.75 0.55 0.64 16938696
accuracy 0.73 39470598
macro avg 0.74 0.71 0.71 39470598
weighted avg 0.73 0.73 0.72 39470598
Accuracy: 0.7295519059528817
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.91 0.97 0.94 11439888
1 0.37 0.17 0.24 1271288
accuracy 0.89 12711176
macro avg 0.64 0.57 0.59 12711176
weighted avg 0.86 0.89 0.87 12711176
Accuracy: 0.8877083442161449
10-20%
precision recall f1-score support
0 0.64 0.82 0.71 5044441
1 0.61 0.38 0.47 3812372
accuracy 0.63 8856813
macro avg 0.62 0.60 0.59 8856813
weighted avg 0.62 0.63 0.61 8856813
Accuracy: 0.629026716494974
20-40%
precision recall f1-score support
0 0.46 0.64 0.54 2995598
1 0.76 0.60 0.67 5583215
accuracy 0.62 8578813
macro avg 0.61 0.62 0.60 8578813
weighted avg 0.65 0.62 0.62 8578813
Accuracy: 0.6154998366324106
40-80%
precision recall f1-score support
0 0.30 0.53 0.39 1295061
1 0.85 0.68 0.76 5001564
accuracy 0.65 6296625
macro avg 0.58 0.61 0.57 6296625
weighted avg 0.74 0.65 0.68 6296625
Accuracy: 0.6527463522124948
80-90%
precision recall f1-score support
0 0.22 0.50 0.31 117971
1 0.89 0.70 0.79 692761
accuracy 0.67 810732
macro avg 0.56 0.60 0.55 810732
weighted avg 0.79 0.67 0.72 810732
Accuracy: 0.6739588421327887
90-100%
precision recall f1-score support
0 0.21 0.49 0.29 88944
1 0.90 0.71 0.79 577496
accuracy 0.68 666440
macro avg 0.55 0.60 0.54 666440
weighted avg 0.81 0.68 0.73 666440
Accuracy: 0.6813891723185883
LR_8_decay_rtime
0.01
Treshold: 0.7
All
precision recall f1-score support
0 0.76 0.85 0.81 28055468
1 0.78 0.66 0.71 21729815
accuracy 0.77 49785283
macro avg 0.77 0.76 0.76 49785283
weighted avg 0.77 0.77 0.77 49785283
Accuracy: 0.7690296548078275
0-1%
precision recall f1-score support
0 0.76 0.86 0.81 27764588
1 0.72 0.57 0.63 17098553
accuracy 0.75 44863141
macro avg 0.74 0.72 0.72 44863141
weighted avg 0.75 0.75 0.74 44863141
Accuracy: 0.7502877027714132
1-10%
precision recall f1-score support
0 0.11 0.00 0.01 287564
1 0.94 1.00 0.97 4164787
accuracy 0.93 4452351
macro avg 0.52 0.50 0.49 4452351
weighted avg 0.88 0.93 0.90 4452351
Accuracy: 0.9342538357824889
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905410445609084
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
0.1
Treshold: 0.7
All
precision recall f1-score support
0 0.69 0.84 0.76 26119367
1 0.74 0.54 0.62 21615229
accuracy 0.70 47734596
macro avg 0.71 0.69 0.69 47734596
weighted avg 0.71 0.70 0.70 47734596
Accuracy: 0.703846723663483
0-1%
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.25 0.06 0.09 508421
accuracy 0.95 12561431
macro avg 0.60 0.52 0.53 12561431
weighted avg 0.93 0.95 0.94 12561431
Accuracy: 0.9548723389874928
1-10%
precision recall f1-score support
0 0.56 0.73 0.63 13368467
1 0.65 0.48 0.55 14466820
accuracy 0.60 27835287
macro avg 0.61 0.60 0.59 27835287
weighted avg 0.61 0.60 0.59 27835287
Accuracy: 0.5968417354561496
10-20%
precision recall f1-score support
0 0.15 0.36 0.21 503365
1 0.88 0.69 0.78 3387274
accuracy 0.65 3890639
macro avg 0.52 0.53 0.49 3890639
weighted avg 0.79 0.65 0.70 3890639
Accuracy: 0.6519402082794111
20-40%
precision recall f1-score support
0 0.08 0.33 0.13 147488
1 0.94 0.73 0.82 1970425
accuracy 0.70 2117913
macro avg 0.51 0.53 0.48 2117913
weighted avg 0.88 0.70 0.77 2117913
Accuracy: 0.7003502976751169
40-80%
precision recall f1-score support
0 0.04 0.31 0.08 41616
1 0.96 0.74 0.84 1064279
accuracy 0.73 1105895
macro avg 0.50 0.53 0.46 1105895
weighted avg 0.93 0.73 0.81 1105895
Accuracy: 0.7280835884057709
80-90%
precision recall f1-score support
0 0.03 0.30 0.05 3093
1 0.98 0.75 0.85 120943
accuracy 0.74 124036
macro avg 0.50 0.53 0.45 124036
weighted avg 0.95 0.74 0.83 124036
Accuracy: 0.7379147989293431
90-100%
precision recall f1-score support
0 0.03 0.28 0.05 2328
1 0.98 0.75 0.85 97067
accuracy 0.74 99395
macro avg 0.50 0.52 0.45 99395
weighted avg 0.96 0.74 0.83 99395
Accuracy: 0.7400573469490417
0.2
Treshold: 0.7
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: 0.7
All
precision recall f1-score support
0 0.67 0.91 0.77 22531902
1 0.77 0.40 0.53 16938696
accuracy 0.69 39470598
macro avg 0.72 0.66 0.65 39470598
weighted avg 0.71 0.69 0.67 39470598
Accuracy: 0.6930358643160157
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 0.93 0.96 0.95 11439888
1 0.52 0.36 0.43 1271288
accuracy 0.90 12711176
macro avg 0.73 0.66 0.69 12711176
weighted avg 0.89 0.90 0.89 12711176
Accuracy: 0.903030765996789
10-20%
precision recall f1-score support
0 0.65 0.87 0.75 5044441
1 0.69 0.40 0.50 3812372
accuracy 0.66 8856813
macro avg 0.67 0.63 0.62 8856813
weighted avg 0.67 0.66 0.64 8856813
Accuracy: 0.6643726134897507
20-40%
precision recall f1-score support
0 0.42 0.81 0.56 2995598
1 0.80 0.41 0.54 5583215
accuracy 0.55 8578813
macro avg 0.61 0.61 0.55 8578813
weighted avg 0.67 0.55 0.55 8578813
Accuracy: 0.5504544742961526
40-80%
precision recall f1-score support
0 0.25 0.78 0.38 1295061
1 0.88 0.41 0.56 5001564
accuracy 0.48 6296625
macro avg 0.57 0.59 0.47 6296625
weighted avg 0.75 0.48 0.52 6296625
Accuracy: 0.48422305600222343
80-90%
precision recall f1-score support
0 0.18 0.77 0.29 117971
1 0.91 0.40 0.56 692761
accuracy 0.46 810732
macro avg 0.54 0.58 0.42 810732
weighted avg 0.80 0.46 0.52 810732
Accuracy: 0.45620007598071866
90-100%
precision recall f1-score support
0 0.16 0.76 0.27 88944
1 0.92 0.40 0.56 577496
accuracy 0.45 666440
macro avg 0.54 0.58 0.42 666440
weighted avg 0.82 0.45 0.52 666440
Accuracy: 0.4511448892623492
LR_8_decay_rtime_w_0_5
0.01
Treshold: 0.7
All
precision recall f1-score support
0 0.59 1.00 0.74 28055468
1 0.94 0.09 0.17 21729815
accuracy 0.60 49785283
macro avg 0.76 0.54 0.45 49785283
weighted avg 0.74 0.60 0.49 49785283
Accuracy: 0.601623033859223
0-1%
precision recall f1-score support
0 0.62 1.00 0.77 27764588
1 0.84 0.02 0.03 17098553
accuracy 0.62 44863141
macro avg 0.73 0.51 0.40 44863141
weighted avg 0.70 0.62 0.49 44863141
Accuracy: 0.6238536887107392
1-10%
precision recall f1-score support
0 0.07 0.72 0.13 287564
1 0.95 0.35 0.51 4164787
accuracy 0.37 4452351
macro avg 0.51 0.54 0.32 4452351
weighted avg 0.89 0.37 0.49 4452351
Accuracy: 0.3740320563226035
10-20%
precision recall f1-score support
0 0.01 0.39 0.02 2455
1 0.99 0.62 0.76 257616
accuracy 0.62 260071
macro avg 0.50 0.51 0.39 260071
weighted avg 0.98 0.62 0.76 260071
Accuracy: 0.6203344471317448
20-40%
precision recall f1-score support
0 0.01 0.40 0.01 659
1 1.00 0.65 0.79 130568
accuracy 0.65 131227
macro avg 0.50 0.53 0.40 131227
weighted avg 0.99 0.65 0.78 131227
Accuracy: 0.6495233450433219
40-80%
precision recall f1-score support
0 0.00 0.40 0.01 169
1 1.00 0.66 0.80 65234
accuracy 0.66 65403
macro avg 0.50 0.53 0.40 65403
weighted avg 1.00 0.66 0.79 65403
Accuracy: 0.6626760240355947
80-90%
precision recall f1-score support
0 0.00 0.33 0.00 15
1 1.00 0.66 0.79 7371
accuracy 0.66 7386
macro avg 0.50 0.50 0.40 7386
weighted avg 1.00 0.66 0.79 7386
Accuracy: 0.657053885729759
90-100%
precision recall f1-score support
0 0.00 0.44 0.01 18
1 1.00 0.68 0.81 5686
accuracy 0.68 5704
macro avg 0.50 0.56 0.41 5704
weighted avg 0.99 0.68 0.80 5704
Accuracy: 0.6758415147265077
0.1
Treshold: 0.7
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: 0.7
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: 0.7
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: 0.7
All
precision recall f1-score support
0 0.67 0.95 0.78 28055468
1 0.86 0.38 0.53 21729815
accuracy 0.70 49785283
macro avg 0.76 0.67 0.66 49785283
weighted avg 0.75 0.70 0.67 49785283
Accuracy: 0.7033423511924196
0-1%
precision recall f1-score support
0 0.67 0.96 0.79 27764588
1 0.79 0.23 0.36 17098553
accuracy 0.68 44863141
macro avg 0.73 0.60 0.58 44863141
weighted avg 0.72 0.68 0.63 44863141
Accuracy: 0.684348070947596
1-10%
precision recall f1-score support
0 0.09 0.11 0.10 287564
1 0.94 0.92 0.93 4164787
accuracy 0.87 4452351
macro avg 0.51 0.52 0.51 4452351
weighted avg 0.88 0.87 0.87 4452351
Accuracy: 0.8665846425854565
10-20%
precision recall f1-score support
0 0.02 0.05 0.03 2455
1 0.99 0.97 0.98 257616
accuracy 0.97 260071
macro avg 0.50 0.51 0.50 260071
weighted avg 0.98 0.97 0.97 260071
Accuracy: 0.966070803742055
20-40%
precision recall f1-score support
0 0.01 0.06 0.02 659
1 1.00 0.98 0.99 130568
accuracy 0.97 131227
macro avg 0.50 0.52 0.50 131227
weighted avg 0.99 0.97 0.98 131227
Accuracy: 0.973915428989461
40-80%
precision recall f1-score support
0 0.01 0.09 0.02 169
1 1.00 0.98 0.99 65234
accuracy 0.98 65403
macro avg 0.50 0.54 0.50 65403
weighted avg 1.00 0.98 0.99 65403
Accuracy: 0.9768970842316101
80-90%
precision recall f1-score support
0 0.01 0.07 0.01 15
1 1.00 0.98 0.99 7371
accuracy 0.98 7386
macro avg 0.50 0.52 0.50 7386
weighted avg 1.00 0.98 0.99 7386
Accuracy: 0.9798266991605741
90-100%
precision recall f1-score support
0 0.03 0.22 0.06 18
1 1.00 0.98 0.99 5686
accuracy 0.98 5704
macro avg 0.52 0.60 0.52 5704
weighted avg 0.99 0.98 0.99 5704
Accuracy: 0.9773842917251052
0.1
Treshold: 0.7
All
precision recall f1-score support
0 0.57 0.97 0.72 26119367
1 0.78 0.13 0.22 21615229
accuracy 0.59 47734596
macro avg 0.68 0.55 0.47 47734596
weighted avg 0.67 0.59 0.50 47734596
Accuracy: 0.5894396173374967
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.24 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.60 0.50 0.49 12561431
weighted avg 0.93 0.96 0.94 12561431
Accuracy: 0.959325573654785
1-10%
precision recall f1-score support
0 0.49 0.95 0.65 13368467
1 0.68 0.10 0.17 14466820
accuracy 0.51 27835287
macro avg 0.59 0.52 0.41 27835287
weighted avg 0.59 0.51 0.40 27835287
Accuracy: 0.5070879994878443
10-20%
precision recall f1-score support
0 0.13 0.82 0.23 503365
1 0.88 0.20 0.32 3387274
accuracy 0.28 3890639
macro avg 0.51 0.51 0.27 3890639
weighted avg 0.78 0.28 0.31 3890639
Accuracy: 0.27744619842653095
20-40%
precision recall f1-score support
0 0.07 0.80 0.13 147488
1 0.94 0.22 0.36 1970425
accuracy 0.26 2117913
macro avg 0.50 0.51 0.24 2117913
weighted avg 0.88 0.26 0.34 2117913
Accuracy: 0.26135492817693645
40-80%
precision recall f1-score support
0 0.04 0.80 0.07 41616
1 0.97 0.23 0.38 1064279
accuracy 0.25 1105895
macro avg 0.50 0.51 0.23 1105895
weighted avg 0.93 0.25 0.37 1105895
Accuracy: 0.2548144263243798
80-90%
precision recall f1-score support
0 0.03 0.79 0.05 3093
1 0.98 0.24 0.39 120943
accuracy 0.25 124036
macro avg 0.50 0.52 0.22 124036
weighted avg 0.95 0.25 0.38 124036
Accuracy: 0.25412783385468735
90-100%
precision recall f1-score support
0 0.02 0.79 0.05 2328
1 0.98 0.24 0.38 97067
accuracy 0.25 99395
macro avg 0.50 0.51 0.21 99395
weighted avg 0.96 0.25 0.37 99395
Accuracy: 0.2508275064138035
0.2
Treshold: 0.7
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: 0.7
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: 0.7
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: 0.7
All
precision recall f1-score support
0 0.58 0.95 0.72 26119367
1 0.72 0.16 0.27 21615229
accuracy 0.59 47734596
macro avg 0.65 0.56 0.49 47734596
weighted avg 0.64 0.59 0.51 47734596
Accuracy: 0.5930795978665033
0-1%
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.41 0.14 0.21 508421
accuracy 0.96 12561431
macro avg 0.69 0.56 0.59 12561431
weighted avg 0.94 0.96 0.95 12561431
Accuracy: 0.9569498889099498
1-10%
precision recall f1-score support
0 0.50 0.91 0.65 13368467
1 0.67 0.16 0.26 14466820
accuracy 0.52 27835287
macro avg 0.58 0.54 0.45 27835287
weighted avg 0.59 0.52 0.45 27835287
Accuracy: 0.5221420206660704
10-20%
precision recall f1-score support
0 0.13 0.85 0.23 503365
1 0.88 0.17 0.29 3387274
accuracy 0.26 3890639
macro avg 0.51 0.51 0.26 3890639
weighted avg 0.79 0.26 0.28 3890639
Accuracy: 0.2614686173659391
20-40%
precision recall f1-score support
0 0.07 0.84 0.13 147488
1 0.94 0.18 0.30 1970425
accuracy 0.22 2117913
macro avg 0.50 0.51 0.21 2117913
weighted avg 0.88 0.22 0.29 2117913
Accuracy: 0.22299310689343707
40-80%
precision recall f1-score support
0 0.04 0.85 0.07 41616
1 0.97 0.18 0.30 1064279
accuracy 0.20 1105895
macro avg 0.50 0.51 0.19 1105895
weighted avg 0.93 0.20 0.29 1105895
Accuracy: 0.20169093810895247
80-90%
precision recall f1-score support
0 0.03 0.85 0.05 3093
1 0.98 0.18 0.30 120943
accuracy 0.19 124036
macro avg 0.50 0.51 0.18 124036
weighted avg 0.95 0.19 0.30 124036
Accuracy: 0.1948305330710439
90-100%
precision recall f1-score support
0 0.02 0.84 0.05 2328
1 0.98 0.18 0.30 97067
accuracy 0.19 99395
macro avg 0.50 0.51 0.17 99395
weighted avg 0.96 0.19 0.29 99395
Accuracy: 0.19122692288344484
0.2
Treshold: 0.7
All
precision recall f1-score support
0 0.60 0.93 0.73 24893266
1 0.74 0.26 0.38 20563095
accuracy 0.62 45456361
macro avg 0.67 0.59 0.56 45456361
weighted avg 0.67 0.62 0.57 45456361
Accuracy: 0.6245204274050886
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.25 0.21 0.23 3872
accuracy 1.00 4877461
macro avg 0.62 0.61 0.61 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9988557571244547
1-10%
precision recall f1-score support
0 0.72 0.93 0.81 16949103
1 0.62 0.25 0.35 8016772
accuracy 0.71 24965875
macro avg 0.67 0.59 0.58 24965875
weighted avg 0.69 0.71 0.66 24965875
Accuracy: 0.7089028123388426
10-20%
precision recall f1-score support
0 0.29 0.81 0.43 2057494
1 0.79 0.27 0.40 5461156
accuracy 0.42 7518650
macro avg 0.54 0.54 0.41 7518650
weighted avg 0.65 0.42 0.41 7518650
Accuracy: 0.4150061513702593
20-40%
precision recall f1-score support
0 0.17 0.79 0.27 744974
1 0.87 0.27 0.41 4060539
accuracy 0.35 4805513
macro avg 0.52 0.53 0.34 4805513
weighted avg 0.76 0.35 0.39 4805513
Accuracy: 0.34924325457032374
40-80%
precision recall f1-score support
0 0.09 0.79 0.17 235909
1 0.93 0.27 0.42 2483775
accuracy 0.31 2719684
macro avg 0.51 0.53 0.29 2719684
weighted avg 0.86 0.31 0.39 2719684
Accuracy: 0.3129749632677914
80-90%
precision recall f1-score support
0 0.06 0.79 0.12 18577
1 0.95 0.27 0.42 296772
accuracy 0.30 315349
macro avg 0.51 0.53 0.27 315349
weighted avg 0.90 0.30 0.40 315349
Accuracy: 0.2969218231229527
90-100%
precision recall f1-score support
0 0.06 0.79 0.11 13620
1 0.96 0.27 0.42 240209
accuracy 0.29 253829
macro avg 0.51 0.53 0.26 253829
weighted avg 0.91 0.29 0.40 253829
Accuracy: 0.2945329335891486
0.4
Treshold: 0.7
All
precision recall f1-score support
0 0.67 0.91 0.77 22531902
1 0.77 0.41 0.53 16938696
accuracy 0.69 39470598
macro avg 0.72 0.66 0.65 39470598
weighted avg 0.71 0.69 0.67 39470598
Accuracy: 0.6938594140377604
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 0.93 0.96 0.95 11439888
1 0.52 0.36 0.43 1271288
accuracy 0.90 12711176
macro avg 0.73 0.66 0.69 12711176
weighted avg 0.89 0.90 0.89 12711176
Accuracy: 0.9026036615337558
10-20%
precision recall f1-score support
0 0.66 0.87 0.75 5044441
1 0.69 0.40 0.51 3812372
accuracy 0.66 8856813
macro avg 0.67 0.63 0.63 8856813
weighted avg 0.67 0.66 0.64 8856813
Accuracy: 0.6646632372163667
20-40%
precision recall f1-score support
0 0.43 0.81 0.56 2995598
1 0.80 0.41 0.55 5583215
accuracy 0.55 8578813
macro avg 0.61 0.61 0.55 8578813
weighted avg 0.67 0.55 0.55 8578813
Accuracy: 0.5520550453774898
40-80%
precision recall f1-score support
0 0.25 0.77 0.38 1295061
1 0.88 0.41 0.56 5001564
accuracy 0.49 6296625
macro avg 0.57 0.59 0.47 6296625
weighted avg 0.75 0.49 0.52 6296625
Accuracy: 0.4869195799336946
80-90%
precision recall f1-score support
0 0.18 0.76 0.29 117971
1 0.91 0.41 0.56 692761
accuracy 0.46 810732
macro avg 0.54 0.59 0.43 810732
weighted avg 0.80 0.46 0.52 810732
Accuracy: 0.4592812421367357
90-100%
precision recall f1-score support
0 0.17 0.76 0.27 88944
1 0.92 0.41 0.56 577496
accuracy 0.45 666440
macro avg 0.54 0.58 0.42 666440
weighted avg 0.82 0.45 0.52 666440
Accuracy: 0.4543754876658064
LR_8_decay_vtime_w_0_5
0.01
Treshold: 0.7
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: 0.7
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: 0.7
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: 0.7
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: 0.7
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: 0.7
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: 0.7
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: 0.7
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: 0.7
All
precision recall f1-score support
0 0.69 0.88 0.77 28055468
1 0.76 0.50 0.60 21729815
accuracy 0.71 49785283
macro avg 0.73 0.69 0.69 49785283
weighted avg 0.72 0.71 0.70 49785283
Accuracy: 0.712129606655043
0-1%
precision recall f1-score support
0 0.70 0.89 0.78 27764588
1 0.68 0.39 0.49 17098553
accuracy 0.70 44863141
macro avg 0.69 0.64 0.64 44863141
weighted avg 0.69 0.70 0.67 44863141
Accuracy: 0.6966158477401304
1-10%
precision recall f1-score support
0 0.08 0.14 0.10 287564
1 0.94 0.89 0.92 4164787
accuracy 0.85 4452351
macro avg 0.51 0.52 0.51 4452351
weighted avg 0.88 0.85 0.86 4452351
Accuracy: 0.8456411006230191
10-20%
precision recall f1-score support
0 0.01 0.07 0.02 2455
1 0.99 0.95 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: 0.9417466768690088
20-40%
precision recall f1-score support
0 0.01 0.12 0.02 659
1 1.00 0.93 0.96 130568
accuracy 0.93 131227
macro avg 0.50 0.52 0.49 131227
weighted avg 0.99 0.93 0.96 131227
Accuracy: 0.9254421727236011
40-80%
precision recall f1-score support
0 0.00 0.18 0.01 169
1 1.00 0.89 0.94 65234
accuracy 0.89 65403
macro avg 0.50 0.54 0.48 65403
weighted avg 1.00 0.89 0.94 65403
Accuracy: 0.8922067795055273
80-90%
precision recall f1-score support
0 0.00 0.13 0.00 15
1 1.00 0.87 0.93 7371
accuracy 0.87 7386
macro avg 0.50 0.50 0.47 7386
weighted avg 1.00 0.87 0.93 7386
Accuracy: 0.8701597617113458
90-100%
precision recall f1-score support
0 0.01 0.33 0.02 18
1 1.00 0.87 0.93 5686
accuracy 0.87 5704
macro avg 0.50 0.60 0.47 5704
weighted avg 0.99 0.87 0.93 5704
Accuracy: 0.8702664796633941
0.1
Treshold: 0.7
All
precision recall f1-score support
0 0.69 0.86 0.77 26119367
1 0.76 0.54 0.63 21615229
accuracy 0.71 47734596
macro avg 0.73 0.70 0.70 47734596
weighted avg 0.72 0.71 0.71 47734596
Accuracy: 0.7148481784574022
0-1%
precision recall f1-score support
0 0.96 0.98 0.97 12053010
1 0.15 0.07 0.10 508421
accuracy 0.95 12561431
macro avg 0.56 0.53 0.54 12561431
weighted avg 0.93 0.95 0.94 12561431
Accuracy: 0.9455229264882321
1-10%
precision recall f1-score support
0 0.56 0.78 0.65 13368467
1 0.68 0.43 0.52 14466820
accuracy 0.60 27835287
macro avg 0.62 0.60 0.59 27835287
weighted avg 0.62 0.60 0.59 27835287
Accuracy: 0.5977541384789745
10-20%
precision recall f1-score support
0 0.17 0.28 0.21 503365
1 0.88 0.80 0.84 3387274
accuracy 0.73 3890639
macro avg 0.53 0.54 0.52 3890639
weighted avg 0.79 0.73 0.76 3890639
Accuracy: 0.72868389999689
20-40%
precision recall f1-score support
0 0.10 0.23 0.14 147488
1 0.94 0.84 0.88 1970425
accuracy 0.79 2117913
macro avg 0.52 0.53 0.51 2117913
weighted avg 0.88 0.79 0.83 2117913
Accuracy: 0.7933744209511912
40-80%
precision recall f1-score support
0 0.05 0.22 0.09 41616
1 0.97 0.84 0.90 1064279
accuracy 0.82 1105895
macro avg 0.51 0.53 0.49 1105895
weighted avg 0.93 0.82 0.87 1105895
Accuracy: 0.8203654053956297
80-90%
precision recall f1-score support
0 0.04 0.24 0.06 3093
1 0.98 0.84 0.90 120943
accuracy 0.83 124036
macro avg 0.51 0.54 0.48 124036
weighted avg 0.95 0.83 0.88 124036
Accuracy: 0.8257683253249056
90-100%
precision recall f1-score support
0 0.03 0.22 0.06 2328
1 0.98 0.84 0.90 97067
accuracy 0.83 99395
macro avg 0.51 0.53 0.48 99395
weighted avg 0.96 0.83 0.88 99395
Accuracy: 0.8270335529956235
0.2
Treshold: 0.7
All
precision recall f1-score support
0 0.70 0.86 0.77 24893266
1 0.76 0.54 0.63 20563095
accuracy 0.72 45456361
macro avg 0.73 0.70 0.70 45456361
weighted avg 0.73 0.72 0.71 45456361
Accuracy: 0.7165926018582965
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.02 0.03 0.03 3872
accuracy 1.00 4877461
macro avg 0.51 0.52 0.51 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9978864003218068
1-10%
precision recall f1-score support
0 0.73 0.89 0.80 16949103
1 0.56 0.29 0.38 8016772
accuracy 0.70 24965875
macro avg 0.64 0.59 0.59 24965875
weighted avg 0.67 0.70 0.67 24965875
Accuracy: 0.6978424349236708
10-20%
precision recall f1-score support
0 0.34 0.52 0.41 2057494
1 0.78 0.63 0.69 5461156
accuracy 0.60 7518650
macro avg 0.56 0.57 0.55 7518650
weighted avg 0.66 0.60 0.62 7518650
Accuracy: 0.5973688095602269
20-40%
precision recall f1-score support
0 0.22 0.38 0.28 744974
1 0.87 0.75 0.80 4060539
accuracy 0.69 4805513
macro avg 0.54 0.56 0.54 4805513
weighted avg 0.77 0.69 0.72 4805513
Accuracy: 0.6911805253674269
40-80%
precision recall f1-score support
0 0.13 0.33 0.19 235909
1 0.93 0.79 0.85 2483775
accuracy 0.75 2719684
macro avg 0.53 0.56 0.52 2719684
weighted avg 0.86 0.75 0.79 2719684
Accuracy: 0.7467948482250144
80-90%
precision recall f1-score support
0 0.09 0.31 0.14 18577
1 0.95 0.80 0.87 296772
accuracy 0.77 315349
macro avg 0.52 0.56 0.50 315349
weighted avg 0.90 0.77 0.82 315349
Accuracy: 0.770765088838081
90-100%
precision recall f1-score support
0 0.08 0.31 0.13 13620
1 0.95 0.80 0.87 240209
accuracy 0.78 253829
macro avg 0.52 0.56 0.50 253829
weighted avg 0.91 0.78 0.83 253829
Accuracy: 0.7773067695180613
0.4
Treshold: 0.7
All
precision recall f1-score support
0 0.72 0.86 0.78 22531902
1 0.75 0.55 0.64 16938696
accuracy 0.73 39470598
macro avg 0.74 0.71 0.71 39470598
weighted avg 0.73 0.73 0.72 39470598
Accuracy: 0.729504022209139
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.91 0.97 0.94 11439888
1 0.37 0.17 0.24 1271288
accuracy 0.89 12711176
macro avg 0.64 0.57 0.59 12711176
weighted avg 0.86 0.89 0.87 12711176
Accuracy: 0.8877047253535
10-20%
precision recall f1-score support
0 0.64 0.82 0.71 5044441
1 0.61 0.38 0.47 3812372
accuracy 0.63 8856813
macro avg 0.62 0.60 0.59 8856813
weighted avg 0.62 0.63 0.61 8856813
Accuracy: 0.6289582945919712
20-40%
precision recall f1-score support
0 0.46 0.64 0.54 2995598
1 0.76 0.60 0.67 5583215
accuracy 0.62 8578813
macro avg 0.61 0.62 0.60 8578813
weighted avg 0.65 0.62 0.62 8578813
Accuracy: 0.6154167249012189
40-80%
precision recall f1-score support
0 0.30 0.53 0.39 1295061
1 0.85 0.68 0.76 5001564
accuracy 0.65 6296625
macro avg 0.58 0.61 0.57 6296625
weighted avg 0.74 0.65 0.68 6296625
Accuracy: 0.6526744089095349
80-90%
precision recall f1-score support
0 0.22 0.50 0.31 117971
1 0.89 0.70 0.79 692761
accuracy 0.67 810732
macro avg 0.56 0.60 0.55 810732
weighted avg 0.79 0.67 0.72 810732
Accuracy: 0.673934173068289
90-100%
precision recall f1-score support
0 0.21 0.49 0.29 88944
1 0.90 0.71 0.79 577496
accuracy 0.68 666440
macro avg 0.55 0.60 0.54 666440
weighted avg 0.81 0.68 0.73 666440
Accuracy: 0.6813111457895684
LR_9_decay_rtime
0.01
Treshold: 0.7
All
precision recall f1-score support
0 0.76 0.85 0.81 28055468
1 0.78 0.66 0.71 21729815
accuracy 0.77 49785283
macro avg 0.77 0.76 0.76 49785283
weighted avg 0.77 0.77 0.77 49785283
Accuracy: 0.7691218105559428
0-1%
precision recall f1-score support
0 0.76 0.86 0.81 27764588
1 0.72 0.57 0.64 17098553
accuracy 0.75 44863141
macro avg 0.74 0.72 0.72 44863141
weighted avg 0.75 0.75 0.74 44863141
Accuracy: 0.750495155923211
1-10%
precision recall f1-score support
0 0.13 0.01 0.01 287564
1 0.94 1.00 0.97 4164787
accuracy 0.93 4452351
macro avg 0.53 0.50 0.49 4452351
weighted avg 0.88 0.93 0.90 4452351
Accuracy: 0.9332572836238653
10-20%
precision recall f1-score support
0 0.17 0.02 0.03 2455
1 0.99 1.00 0.99 257616
accuracy 0.99 260071
macro avg 0.58 0.51 0.51 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9899181377393097
20-40%
precision recall f1-score support
0 0.20 0.04 0.06 659
1 1.00 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.60 0.52 0.53 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9944447407926722
40-80%
precision recall f1-score support
0 0.19 0.08 0.11 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.59 0.54 0.55 65403
weighted avg 1.00 1.00 1.00 65403
Accuracy: 0.9967585584759109
80-90%
precision recall f1-score support
0 0.12 0.07 0.09 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.56 0.53 0.54 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9971567831031681
90-100%
precision recall f1-score support
0 0.44 0.22 0.30 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.72 0.61 0.65 5704
weighted avg 1.00 1.00 1.00 5704
Accuracy: 0.9966690042075736
0.1
Treshold: 0.7
All
precision recall f1-score support
0 0.69 0.84 0.76 26119367
1 0.74 0.54 0.62 21615229
accuracy 0.70 47734596
macro avg 0.71 0.69 0.69 47734596
weighted avg 0.71 0.70 0.70 47734596
Accuracy: 0.7036790465347188
0-1%
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.25 0.06 0.09 508421
accuracy 0.95 12561431
macro avg 0.60 0.52 0.53 12561431
weighted avg 0.93 0.95 0.94 12561431
Accuracy: 0.9548506854035977
1-10%
precision recall f1-score support
0 0.56 0.73 0.63 13368467
1 0.65 0.48 0.55 14466820
accuracy 0.60 27835287
macro avg 0.61 0.60 0.59 27835287
weighted avg 0.61 0.60 0.59 27835287
Accuracy: 0.596758208384918
10-20%
precision recall f1-score support
0 0.15 0.36 0.21 503365
1 0.88 0.69 0.78 3387274
accuracy 0.65 3890639
macro avg 0.52 0.53 0.49 3890639
weighted avg 0.79 0.65 0.70 3890639
Accuracy: 0.6513580416995769
20-40%
precision recall f1-score support
0 0.08 0.33 0.13 147488
1 0.94 0.73 0.82 1970425
accuracy 0.70 2117913
macro avg 0.51 0.53 0.48 2117913
weighted avg 0.88 0.70 0.77 2117913
Accuracy: 0.6995150414582657
40-80%
precision recall f1-score support
0 0.04 0.31 0.08 41616
1 0.96 0.74 0.84 1064279
accuracy 0.73 1105895
macro avg 0.50 0.53 0.46 1105895
weighted avg 0.93 0.73 0.81 1105895
Accuracy: 0.7270391854561238
80-90%
precision recall f1-score support
0 0.03 0.31 0.05 3093
1 0.98 0.75 0.85 120943
accuracy 0.74 124036
macro avg 0.50 0.53 0.45 124036
weighted avg 0.95 0.74 0.83 124036
Accuracy: 0.7368344674126867
90-100%
precision recall f1-score support
0 0.03 0.28 0.05 2328
1 0.98 0.75 0.85 97067
accuracy 0.74 99395
macro avg 0.50 0.52 0.45 99395
weighted avg 0.96 0.74 0.83 99395
Accuracy: 0.7392122340157956
0.2
Treshold: 0.7
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: 0.5475752887478168
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: 0.999198558430298
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.11 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.39 0.50 0.40 24965875
weighted avg 0.50 0.68 0.55 24965875
Accuracy: 0.6788336879840983
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.18 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.23 0.50 0.21 7518650
weighted avg 0.21 0.27 0.12 7518650
Accuracy: 0.2735976538341325
20-40%
precision recall f1-score support
0 0.15 1.00 0.27 744974
1 0.14 0.00 0.00 4060539
accuracy 0.15 4805513
macro avg 0.15 0.50 0.13 4805513
weighted avg 0.14 0.15 0.04 4805513
Accuracy: 0.1549582739657556
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.06 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.07 0.50 0.08 2719684
weighted avg 0.06 0.09 0.01 2719684
Accuracy: 0.08665161099598336
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.03 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.05 0.50 0.06 315349
weighted avg 0.04 0.06 0.01 315349
Accuracy: 0.05882371594645932
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.07 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.06 0.50 0.05 253829
weighted avg 0.07 0.05 0.01 253829
Accuracy: 0.053567559262338034
0.4
Treshold: 0.7
All
precision recall f1-score support
0 0.67 0.91 0.77 22531902
1 0.77 0.40 0.53 16938696
accuracy 0.69 39470598
macro avg 0.72 0.66 0.65 39470598
weighted avg 0.71 0.69 0.67 39470598
Accuracy: 0.6929483054703149
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 0.93 0.96 0.95 11439888
1 0.52 0.36 0.43 1271288
accuracy 0.90 12711176
macro avg 0.73 0.66 0.69 12711176
weighted avg 0.89 0.90 0.89 12711176
Accuracy: 0.9030749003868721
10-20%
precision recall f1-score support
0 0.65 0.87 0.75 5044441
1 0.69 0.39 0.50 3812372
accuracy 0.66 8856813
macro avg 0.67 0.63 0.62 8856813
weighted avg 0.67 0.66 0.64 8856813
Accuracy: 0.6643434833726307
20-40%
precision recall f1-score support
0 0.42 0.81 0.56 2995598
1 0.80 0.41 0.54 5583215
accuracy 0.55 8578813
macro avg 0.61 0.61 0.55 8578813
weighted avg 0.67 0.55 0.55 8578813
Accuracy: 0.5502790421005797
40-80%
precision recall f1-score support
0 0.25 0.78 0.38 1295061
1 0.88 0.41 0.56 5001564
accuracy 0.48 6296625
macro avg 0.57 0.59 0.47 6296625
weighted avg 0.75 0.48 0.52 6296625
Accuracy: 0.4839400472475334
80-90%
precision recall f1-score support
0 0.18 0.77 0.29 117971
1 0.91 0.40 0.56 692761
accuracy 0.46 810732
macro avg 0.54 0.58 0.42 810732
weighted avg 0.80 0.46 0.52 810732
Accuracy: 0.4559003468470469
90-100%
precision recall f1-score support
0 0.16 0.76 0.27 88944
1 0.92 0.40 0.56 577496
accuracy 0.45 666440
macro avg 0.54 0.58 0.42 666440
weighted avg 0.82 0.45 0.52 666440
Accuracy: 0.4508012724326271
LR_9_decay_rtime_w_0_5
0.01
Treshold: 0.7
All
precision recall f1-score support
0 0.59 1.00 0.74 28055468
1 0.94 0.09 0.17 21729815
accuracy 0.60 49785283
macro avg 0.76 0.54 0.45 49785283
weighted avg 0.74 0.60 0.49 49785283
Accuracy: 0.6010868111365361
0-1%
precision recall f1-score support
0 0.62 1.00 0.77 27764588
1 0.84 0.02 0.03 17098553
accuracy 0.62 44863141
macro avg 0.73 0.51 0.40 44863141
weighted avg 0.70 0.62 0.49 44863141
Accuracy: 0.6234895144769288
1-10%
precision recall f1-score support
0 0.07 0.73 0.13 287564
1 0.95 0.35 0.51 4164787
accuracy 0.37 4452351
macro avg 0.51 0.54 0.32 4452351
weighted avg 0.89 0.37 0.48 4452351
Accuracy: 0.37079938216910574
10-20%
precision recall f1-score support
0 0.01 0.38 0.02 2455
1 0.99 0.63 0.77 257616
accuracy 0.63 260071
macro avg 0.50 0.51 0.39 260071
weighted avg 0.98 0.63 0.76 260071
Accuracy: 0.6280669509480103
20-40%
precision recall f1-score support
0 0.01 0.38 0.01 659
1 1.00 0.66 0.79 130568
accuracy 0.66 131227
macro avg 0.50 0.52 0.40 131227
weighted avg 0.99 0.66 0.79 131227
Accuracy: 0.6588887957508744
40-80%
precision recall f1-score support
0 0.00 0.39 0.01 169
1 1.00 0.67 0.80 65234
accuracy 0.67 65403
macro avg 0.50 0.53 0.41 65403
weighted avg 1.00 0.67 0.80 65403
Accuracy: 0.6728437533446477
80-90%
precision recall f1-score support
0 0.00 0.33 0.00 15
1 1.00 0.67 0.80 7371
accuracy 0.67 7386
macro avg 0.50 0.50 0.40 7386
weighted avg 1.00 0.67 0.80 7386
Accuracy: 0.6665312753858651
90-100%
precision recall f1-score support
0 0.00 0.44 0.01 18
1 1.00 0.69 0.81 5686
accuracy 0.69 5704
macro avg 0.50 0.57 0.41 5704
weighted avg 0.99 0.69 0.81 5704
Accuracy: 0.6863604488078542
0.1
Treshold: 0.7
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: 0.5471747367464889
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: 0.48026593007645296
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: 0.1293687232354377
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: 0.06962656161985879
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: 0.0376229208017036
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: 0.024920184462575382
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: 0.02341164042456864
0.2
Treshold: 0.7
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: 0.5476295825792126
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: 0.6788906056767487
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: 0.2736512538820134
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: 0.15502423986783512
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: 0.08674022423193282
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: 0.05365817144613105
0.4
Treshold: 0.7
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: 0.7
All
precision recall f1-score support
0 0.67 0.95 0.78 28055468
1 0.86 0.38 0.53 21729815
accuracy 0.70 49785283
macro avg 0.76 0.67 0.66 49785283
weighted avg 0.75 0.70 0.67 49785283
Accuracy: 0.7039988705095841
0-1%
precision recall f1-score support
0 0.67 0.96 0.79 27764588
1 0.79 0.23 0.36 17098553
accuracy 0.68 44863141
macro avg 0.73 0.60 0.58 44863141
weighted avg 0.72 0.68 0.63 44863141
Accuracy: 0.6845660226955576
1-10%
precision recall f1-score support
0 0.09 0.11 0.10 287564
1 0.94 0.92 0.93 4164787
accuracy 0.87 4452351
macro avg 0.51 0.52 0.51 4452351
weighted avg 0.88 0.87 0.88 4452351
Accuracy: 0.8717032866456396
10-20%
precision recall f1-score support
0 0.02 0.05 0.03 2455
1 0.99 0.98 0.98 257616
accuracy 0.97 260071
macro avg 0.50 0.51 0.50 260071
weighted avg 0.98 0.97 0.97 260071
Accuracy: 0.9668744304439941
20-40%
precision recall f1-score support
0 0.01 0.06 0.02 659
1 1.00 0.98 0.99 130568
accuracy 0.97 131227
macro avg 0.50 0.52 0.50 131227
weighted avg 0.99 0.97 0.98 131227
Accuracy: 0.9736182340524435
40-80%
precision recall f1-score support
0 0.01 0.11 0.02 169
1 1.00 0.98 0.99 65234
accuracy 0.98 65403
macro avg 0.51 0.54 0.51 65403
weighted avg 1.00 0.98 0.99 65403
Accuracy: 0.9763466507652554
80-90%
precision recall f1-score support
0 0.01 0.07 0.01 15
1 1.00 0.98 0.99 7371
accuracy 0.98 7386
macro avg 0.50 0.52 0.50 7386
weighted avg 1.00 0.98 0.99 7386
Accuracy: 0.9783373950717574
90-100%
precision recall f1-score support
0 0.03 0.22 0.06 18
1 1.00 0.98 0.99 5686
accuracy 0.98 5704
macro avg 0.51 0.60 0.52 5704
weighted avg 0.99 0.98 0.99 5704
Accuracy: 0.9763323983169705
0.1
Treshold: 0.7
All
precision recall f1-score support
0 0.57 0.97 0.72 26119367
1 0.78 0.13 0.23 21615229
accuracy 0.59 47734596
macro avg 0.68 0.55 0.47 47734596
weighted avg 0.67 0.59 0.50 47734596
Accuracy: 0.5900415078405608
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.24 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.60 0.50 0.49 12561431
weighted avg 0.93 0.96 0.94 12561431
Accuracy: 0.9593151449066591
1-10%
precision recall f1-score support
0 0.49 0.95 0.65 13368467
1 0.68 0.10 0.17 14466820
accuracy 0.51 27835287
macro avg 0.59 0.52 0.41 27835287
weighted avg 0.59 0.51 0.40 27835287
Accuracy: 0.5074993837857681
10-20%
precision recall f1-score support
0 0.13 0.82 0.23 503365
1 0.88 0.20 0.33 3387274
accuracy 0.28 3890639
macro avg 0.51 0.51 0.28 3890639
weighted avg 0.78 0.28 0.31 3890639
Accuracy: 0.2795527932558122
20-40%
precision recall f1-score support
0 0.07 0.80 0.13 147488
1 0.94 0.22 0.36 1970425
accuracy 0.26 2117913
macro avg 0.50 0.51 0.25 2117913
weighted avg 0.88 0.26 0.35 2117913
Accuracy: 0.26392018935622
40-80%
precision recall f1-score support
0 0.04 0.79 0.07 41616
1 0.97 0.24 0.38 1064279
accuracy 0.26 1105895
macro avg 0.50 0.51 0.23 1105895
weighted avg 0.93 0.26 0.37 1105895
Accuracy: 0.2576356706558941
80-90%
precision recall f1-score support
0 0.03 0.78 0.05 3093
1 0.98 0.24 0.39 120943
accuracy 0.26 124036
macro avg 0.50 0.51 0.22 124036
weighted avg 0.95 0.26 0.38 124036
Accuracy: 0.2570866522622464
90-100%
precision recall f1-score support
0 0.02 0.78 0.05 2328
1 0.98 0.24 0.39 97067
accuracy 0.25 99395
macro avg 0.50 0.51 0.22 99395
weighted avg 0.96 0.25 0.38 99395
Accuracy: 0.25379546254841795
0.2
Treshold: 0.7
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: 0.7
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: 0.7
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: 0.7
All
precision recall f1-score support
0 0.58 0.95 0.72 26119367
1 0.72 0.16 0.26 21615229
accuracy 0.59 47734596
macro avg 0.65 0.55 0.49 47734596
weighted avg 0.64 0.59 0.51 47734596
Accuracy: 0.59157576194842
0-1%
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.41 0.13 0.20 508421
accuracy 0.96 12561431
macro avg 0.69 0.56 0.59 12561431
weighted avg 0.94 0.96 0.95 12561431
Accuracy: 0.9571753409305038
1-10%
precision recall f1-score support
0 0.50 0.92 0.65 13368467
1 0.67 0.15 0.25 14466820
accuracy 0.52 27835287
macro avg 0.58 0.54 0.45 27835287
weighted avg 0.59 0.52 0.44 27835287
Accuracy: 0.5207842117812544
10-20%
precision recall f1-score support
0 0.13 0.85 0.23 503365
1 0.88 0.17 0.28 3387274
accuracy 0.26 3890639
macro avg 0.51 0.51 0.26 3890639
weighted avg 0.79 0.26 0.28 3890639
Accuracy: 0.25682979068476924
20-40%
precision recall f1-score support
0 0.07 0.85 0.13 147488
1 0.94 0.17 0.29 1970425
accuracy 0.22 2117913
macro avg 0.50 0.51 0.21 2117913
weighted avg 0.88 0.22 0.28 2117913
Accuracy: 0.21765294419553588
40-80%
precision recall f1-score support
0 0.04 0.85 0.07 41616
1 0.97 0.17 0.29 1064279
accuracy 0.20 1105895
macro avg 0.50 0.51 0.18 1105895
weighted avg 0.93 0.20 0.28 1105895
Accuracy: 0.19608281075508976
80-90%
precision recall f1-score support
0 0.03 0.85 0.05 3093
1 0.98 0.17 0.29 120943
accuracy 0.19 124036
macro avg 0.50 0.51 0.17 124036
weighted avg 0.95 0.19 0.29 124036
Accuracy: 0.18934825373278724
90-100%
precision recall f1-score support
0 0.02 0.85 0.05 2328
1 0.98 0.17 0.29 97067
accuracy 0.19 99395
macro avg 0.50 0.51 0.17 99395
weighted avg 0.96 0.19 0.28 99395
Accuracy: 0.18537149756023946
0.2
Treshold: 0.7
All
precision recall f1-score support
0 0.60 0.93 0.73 24893266
1 0.74 0.26 0.38 20563095
accuracy 0.62 45456361
macro avg 0.67 0.59 0.56 45456361
weighted avg 0.67 0.62 0.57 45456361
Accuracy: 0.6235824288706261
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.25 0.21 0.23 3872
accuracy 1.00 4877461
macro avg 0.62 0.60 0.61 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9988678535820174
1-10%
precision recall f1-score support
0 0.72 0.93 0.81 16949103
1 0.62 0.24 0.35 8016772
accuracy 0.71 24965875
macro avg 0.67 0.59 0.58 24965875
weighted avg 0.69 0.71 0.66 24965875
Accuracy: 0.7086113344715537
10-20%
precision recall f1-score support
0 0.29 0.81 0.43 2057494
1 0.79 0.26 0.39 5461156
accuracy 0.41 7518650
macro avg 0.54 0.54 0.41 7518650
weighted avg 0.65 0.41 0.40 7518650
Accuracy: 0.4131598092742713
20-40%
precision recall f1-score support
0 0.17 0.79 0.27 744974
1 0.87 0.26 0.41 4060539
accuracy 0.35 4805513
macro avg 0.52 0.53 0.34 4805513
weighted avg 0.76 0.35 0.39 4805513
Accuracy: 0.34675049261129876
40-80%
precision recall f1-score support
0 0.09 0.79 0.17 235909
1 0.93 0.26 0.41 2483775
accuracy 0.31 2719684
macro avg 0.51 0.53 0.29 2719684
weighted avg 0.86 0.31 0.39 2719684
Accuracy: 0.31007793552486246
80-90%
precision recall f1-score support
0 0.06 0.79 0.12 18577
1 0.95 0.26 0.41 296772
accuracy 0.29 315349
macro avg 0.51 0.53 0.26 315349
weighted avg 0.90 0.29 0.39 315349
Accuracy: 0.2940519868463195
90-100%
precision recall f1-score support
0 0.06 0.79 0.11 13620
1 0.96 0.26 0.41 240209
accuracy 0.29 253829
macro avg 0.51 0.53 0.26 253829
weighted avg 0.91 0.29 0.40 253829
Accuracy: 0.29147969696134013
0.4
Treshold: 0.7
All
precision recall f1-score support
0 0.67 0.91 0.77 22531902
1 0.77 0.41 0.53 16938696
accuracy 0.69 39470598
macro avg 0.72 0.66 0.65 39470598
weighted avg 0.71 0.69 0.67 39470598
Accuracy: 0.6937823693474318
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 0.93 0.96 0.95 11439888
1 0.52 0.36 0.43 1271288
accuracy 0.90 12711176
macro avg 0.73 0.66 0.69 12711176
weighted avg 0.89 0.90 0.89 12711176
Accuracy: 0.9026463011762248
10-20%
precision recall f1-score support
0 0.66 0.87 0.75 5044441
1 0.69 0.40 0.51 3812372
accuracy 0.66 8856813
macro avg 0.67 0.63 0.63 8856813
weighted avg 0.67 0.66 0.64 8856813
Accuracy: 0.6646303811540336
20-40%
precision recall f1-score support
0 0.43 0.81 0.56 2995598
1 0.80 0.41 0.55 5583215
accuracy 0.55 8578813
macro avg 0.61 0.61 0.55 8578813
weighted avg 0.67 0.55 0.55 8578813
Accuracy: 0.5518986134795105
40-80%
precision recall f1-score support
0 0.25 0.78 0.38 1295061
1 0.88 0.41 0.56 5001564
accuracy 0.49 6296625
macro avg 0.57 0.59 0.47 6296625
weighted avg 0.75 0.49 0.52 6296625
Accuracy: 0.4866735751295337
80-90%
precision recall f1-score support
0 0.18 0.76 0.29 117971
1 0.91 0.41 0.56 692761
accuracy 0.46 810732
macro avg 0.54 0.59 0.43 810732
weighted avg 0.80 0.46 0.52 810732
Accuracy: 0.4590259173191634
90-100%
precision recall f1-score support
0 0.16 0.76 0.27 88944
1 0.92 0.41 0.56 577496
accuracy 0.45 666440
macro avg 0.54 0.58 0.42 666440
weighted avg 0.82 0.45 0.52 666440
Accuracy: 0.45408438869215534
LR_9_decay_vtime_w_0_5
0.01
Treshold: 0.7
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: 0.7
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: 0.7
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: 0.7
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: 0.7
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: 0.7
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: 0.7
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: 0.7
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: 0.7
All
precision recall f1-score support
0 0.58 0.86 0.70 28055468
1 0.54 0.21 0.30 21729815
accuracy 0.58 49785283
macro avg 0.56 0.53 0.50 49785283
weighted avg 0.56 0.58 0.52 49785283
Accuracy: 0.5765067158501439
0-1%
precision recall f1-score support
0 0.65 0.86 0.74 27764588
1 0.53 0.25 0.34 17098553
accuracy 0.63 44863141
macro avg 0.59 0.55 0.54 44863141
weighted avg 0.60 0.63 0.59 44863141
Accuracy: 0.628007232039326
1-10%
precision recall f1-score support
0 0.06 0.94 0.12 287564
1 0.93 0.06 0.11 4164787
accuracy 0.12 4452351
macro avg 0.50 0.50 0.12 4452351
weighted avg 0.88 0.12 0.11 4452351
Accuracy: 0.11696472268246597
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.99 0.01 0.02 257616
accuracy 0.02 260071
macro avg 0.50 0.50 0.02 260071
weighted avg 0.99 0.02 0.02 260071
Accuracy: 0.01841804737936948
20-40%
precision recall f1-score support
0 0.01 0.99 0.01 659
1 0.99 0.00 0.01 130568
accuracy 0.01 131227
macro avg 0.50 0.50 0.01 131227
weighted avg 0.99 0.01 0.01 131227
Accuracy: 0.009510237984561104
40-80%
precision recall f1-score support
0 0.00 0.99 0.01 169
1 0.99 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.50 0.50 0.00 65403
weighted avg 0.99 0.00 0.00 65403
Accuracy: 0.004693974282525266
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 1.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.50 0.50 0.00 7386
weighted avg 1.00 0.00 0.00 7386
Accuracy: 0.003926347143243975
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 1.00 0.00 0.00 5686
accuracy 0.01 5704
macro avg 0.50 0.50 0.01 5704
weighted avg 1.00 0.01 0.00 5704
Accuracy: 0.005434782608695652
0.1
Treshold: 0.7
All
precision recall f1-score support
0 0.64 0.85 0.73 26119367
1 0.70 0.42 0.53 21615229
accuracy 0.66 47734596
macro avg 0.67 0.64 0.63 47734596
weighted avg 0.67 0.66 0.64 47734596
Accuracy: 0.6553020371220907
0-1%
precision recall f1-score support
0 0.97 0.97 0.97 12053010
1 0.28 0.29 0.29 508421
accuracy 0.94 12561431
macro avg 0.63 0.63 0.63 12561431
weighted avg 0.94 0.94 0.94 12561431
Accuracy: 0.941196906626323
1-10%
precision recall f1-score support
0 0.54 0.75 0.63 13368467
1 0.64 0.42 0.51 14466820
accuracy 0.58 27835287
macro avg 0.59 0.58 0.57 27835287
weighted avg 0.60 0.58 0.57 27835287
Accuracy: 0.5781541250140514
10-20%
precision recall f1-score support
0 0.14 0.61 0.23 503365
1 0.88 0.45 0.59 3387274
accuracy 0.47 3890639
macro avg 0.51 0.53 0.41 3890639
weighted avg 0.79 0.47 0.55 3890639
Accuracy: 0.46630771963165946
20-40%
precision recall f1-score support
0 0.07 0.60 0.13 147488
1 0.94 0.44 0.60 1970425
accuracy 0.45 2117913
macro avg 0.51 0.52 0.37 2117913
weighted avg 0.88 0.45 0.57 2117913
Accuracy: 0.4530648803798834
40-80%
precision recall f1-score support
0 0.04 0.61 0.08 41616
1 0.97 0.44 0.60 1064279
accuracy 0.45 1105895
macro avg 0.50 0.52 0.34 1105895
weighted avg 0.93 0.45 0.58 1105895
Accuracy: 0.4451986852278019
80-90%
precision recall f1-score support
0 0.03 0.62 0.05 3093
1 0.98 0.44 0.61 120943
accuracy 0.44 124036
macro avg 0.50 0.53 0.33 124036
weighted avg 0.95 0.44 0.59 124036
Accuracy: 0.44258118610725916
90-100%
precision recall f1-score support
0 0.02 0.60 0.05 2328
1 0.98 0.44 0.60 97067
accuracy 0.44 99395
macro avg 0.50 0.52 0.33 99395
weighted avg 0.96 0.44 0.59 99395
Accuracy: 0.4395190904975099
0.2
Treshold: 0.7
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: 0.7
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: 0.7
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: 0.7
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: 0.7
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: 0.7
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: 0.7
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: 0.7
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: 0.7
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: 0.7
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: 0.7
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: 0.7
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: 0.7
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: 0.7
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: 0.7
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: 0.7
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: 0.7
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: 0.7
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: 0.7
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: 0.7
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: 0.7
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: 0.7
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_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 10079618 | 0.404872 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 10077204 | 0.404874 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 10075592 | 0.404874 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.7] | 10130629 | 0.404909 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.7] | 9665622 | 0.404927 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 10440934 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.7] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.7] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 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_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 10439791 | 0.405179 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 8584445 | 0.405299 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 8589288 | 0.405313 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 8591689 | 0.40532 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.7] | 7446464 | 0.409234 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.7] | 6647217 | 0.40926 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.7] | 6644960 | 0.409272 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 6643390 | 0.409278 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.7] | 7439896 | 0.409298 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.7] | 7445242 | 0.409313 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | 8242479 | 0.413734 | ../../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_7_w_0_75[cache_size=0.1,treshold=0.7] | 9372212 | 0.213672 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.7] | 10266558 | 0.213809 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 10273540 | 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_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 10273523 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 10273094 | 0.213818 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 10272578 | 0.213818 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.7] | 10270543 | 0.213824 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.7] | 10239417 | 0.213887 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 10143683 | 0.214071 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.7] | 7148453 | 0.216419 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.7] | 7146708 | 0.216428 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.7] | 7147423 | 0.216431 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 7216965 | 0.216996 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.7] | 7215536 | 0.216998 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.7] | 7216309 | 0.217004 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | 7890608 | 0.219222 | ../../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_w_0_75[cache_size=0.2,treshold=0.7] | 9196565 | 0.152728 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.7] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 10000401 | 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_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.7] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 10000400 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 9999712 | 0.152751 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.7] | 9999162 | 0.152753 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.7] | 9604876 | 0.15338 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 9586284 | 0.153416 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.7] | 9568910 | 0.153447 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.7] | 7016918 | 0.154434 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.7] | 7014777 | 0.154437 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.7] | 7009169 | 0.154446 | ../../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_w_0_75[cache_size=0.4,treshold=0.7] | 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_w_0_5[cache_size=0.4,treshold=0.7] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.7] | 9234302 | 0.0897435 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.7] | 8678767 | 0.0898427 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.7] | 8399329 | 0.0906425 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 8395556 | 0.090647 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.7] | 8394244 | 0.090648 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.7] | 6564964 | 0.0906803 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.7] | 6564442 | 0.0906805 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.7] | 6564585 | 0.0906806 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.7] | 8348337 | 0.0907016 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.7] | 8343410 | 0.0907082 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 8341028 | 0.0907109 | ../../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_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 10075559 | 0.405049 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 10072762 | 0.405053 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 10071149 | 0.405053 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.7] | 10126145 | 0.405082 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.7] | 9661889 | 0.405102 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 10437608 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.7] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.7] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 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_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 10436347 | 0.405354 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 8580732 | 0.405486 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 8585665 | 0.405501 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 8588061 | 0.405508 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.7] | 7443136 | 0.409405 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.7] | 6644635 | 0.409435 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.7] | 6642620 | 0.409445 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 6641067 | 0.409452 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.7] | 7436391 | 0.409469 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.7] | 7441925 | 0.409488 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | 8239578 | 0.413925 | ../../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_7_w_0_75[cache_size=0.1,treshold=0.7] | 9371039 | 0.213855 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.7] | 10267720 | 0.213974 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 10274582 | 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_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 10274572 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 10274003 | 0.213984 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 10273607 | 0.213984 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.7] | 10271666 | 0.213989 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.7] | 10243461 | 0.214046 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 10147164 | 0.214231 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.7] | 7151491 | 0.21657 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.7] | 7149477 | 0.216579 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.7] | 7150467 | 0.216582 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 7216374 | 0.217167 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.7] | 7214966 | 0.217169 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.7] | 7215727 | 0.217175 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | 7894610 | 0.21938 | ../../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_w_0_75[cache_size=0.2,treshold=0.7] | 9207106 | 0.152818 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.7] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 10010510 | 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_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.7] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 10010513 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 10009864 | 0.152838 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.7] | 10009338 | 0.152839 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.7] | 9616362 | 0.153467 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 9598544 | 0.153498 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.7] | 9581302 | 0.153529 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.7] | 7023421 | 0.15454 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.7] | 7021371 | 0.154542 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.7] | 7015930 | 0.154551 | ../../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_w_0_75[cache_size=0.4,treshold=0.7] | 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_w_0_5[cache_size=0.4,treshold=0.7] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.7] | 9242694 | 0.0897461 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.7] | 8686427 | 0.0898647 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.7] | 8405327 | 0.0906652 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 8401564 | 0.0906702 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.7] | 8400206 | 0.0906713 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.7] | 6576404 | 0.0906925 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.7] | 6575676 | 0.0906927 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.7] | 6575861 | 0.0906929 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.7] | 8355176 | 0.0907292 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.7] | 8350532 | 0.0907341 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 8348071 | 0.0907372 | ../../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_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 10078380 | 0.404938 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 10074178 | 0.40494 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 10075631 | 0.404941 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.7] | 10128918 | 0.404974 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.7] | 9664049 | 0.404988 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 10439539 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.7] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.7] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 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_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 10438399 | 0.405248 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 8581461 | 0.405375 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 8586606 | 0.405389 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 8589245 | 0.405395 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.7] | 7446165 | 0.409288 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.7] | 6647794 | 0.40932 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.7] | 6645249 | 0.409333 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 6644053 | 0.409339 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.7] | 7440328 | 0.409353 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.7] | 7445732 | 0.409371 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | 8240720 | 0.413818 | ../../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_7_w_0_75[cache_size=0.1,treshold=0.7] | 9369942 | 0.213726 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.7] | 10265777 | 0.213843 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 10272627 | 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_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 10272606 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 10272179 | 0.213853 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 10271632 | 0.213854 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.7] | 10269580 | 0.213858 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.7] | 10239477 | 0.213918 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 10141557 | 0.214113 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.7] | 7146655 | 0.216453 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.7] | 7144703 | 0.216462 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.7] | 7145670 | 0.216464 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 7212567 | 0.217055 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.7] | 7211379 | 0.217057 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.7] | 7211905 | 0.217064 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | 7890041 | 0.219254 | ../../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_w_0_75[cache_size=0.2,treshold=0.7] | 9201293 | 0.152749 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.7] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 10002874 | 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_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.7] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 10002873 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 10002145 | 0.152786 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.7] | 10001590 | 0.152788 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.7] | 9607488 | 0.153418 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 9589724 | 0.153449 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.7] | 9572529 | 0.153477 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.7] | 7018075 | 0.154471 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.7] | 7015849 | 0.154474 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.7] | 7010319 | 0.154484 | ../../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_w_0_75[cache_size=0.4,treshold=0.7] | 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_w_0_5[cache_size=0.4,treshold=0.7] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.7] | 9240479 | 0.0897082 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.7] | 8683798 | 0.0898224 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.7] | 8404341 | 0.0906198 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 8400569 | 0.090626 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.7] | 8399085 | 0.0906271 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.7] | 6567879 | 0.0906525 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.7] | 6567706 | 0.0906527 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.7] | 6568329 | 0.0906528 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.7] | 8353580 | 0.0906838 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.7] | 8348581 | 0.09069 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 8346174 | 0.0906931 | ../../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_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 10079016 | 0.404897 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 10076403 | 0.404901 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 10074669 | 0.404901 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.7] | 10129870 | 0.404925 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.7] | 9665321 | 0.404946 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 10439714 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.7] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.7] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 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_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 10438585 | 0.405205 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 8582437 | 0.405313 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 8587930 | 0.405325 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 8590536 | 0.405332 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.7] | 7448289 | 0.409229 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.7] | 6648927 | 0.409247 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.7] | 6646598 | 0.409259 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 6644967 | 0.409265 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.7] | 7441892 | 0.409297 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.7] | 7447352 | 0.409313 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | 8243229 | 0.413757 | ../../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_7_w_0_75[cache_size=0.1,treshold=0.7] | 9365652 | 0.213688 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.7] | 10261679 | 0.21381 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 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_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 10268371 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 10268004 | 0.213822 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 10267558 | 0.213822 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.7] | 10265072 | 0.213828 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.7] | 10232603 | 0.21389 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 10137363 | 0.214076 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.7] | 7147408 | 0.216413 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.7] | 7145387 | 0.216423 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.7] | 7146208 | 0.216425 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 7214951 | 0.216993 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.7] | 7213180 | 0.216996 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.7] | 7213784 | 0.217002 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | 7887789 | 0.219208 | ../../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_w_0_75[cache_size=0.2,treshold=0.7] | 9198976 | 0.152684 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.7] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 10001073 | 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_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.7] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 10001075 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 10000400 | 0.152708 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.7] | 9999791 | 0.152709 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.7] | 9604512 | 0.153342 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 9586153 | 0.153375 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.7] | 9569726 | 0.153401 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.7] | 7019488 | 0.154386 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.7] | 7017240 | 0.154388 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.7] | 7011633 | 0.1544 | ../../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_w_0_5[cache_size=0.4,treshold=0.7] | 9239193 | 0.0896547 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 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_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.7] | 8679101 | 0.0897776 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.7] | 8398050 | 0.0905737 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 8394273 | 0.0905789 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.7] | 8392971 | 0.0905802 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.7] | 6559790 | 0.0906075 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.7] | 6559302 | 0.0906081 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.7] | 6558997 | 0.0906083 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.7] | 8347425 | 0.0906399 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.7] | 8342049 | 0.0906462 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 8339582 | 0.0906492 | ../../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_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 10082203 | 0.404951 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 10077937 | 0.404953 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 10079430 | 0.404954 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.7] | 10133038 | 0.404988 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.7] | 9666736 | 0.405001 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 10442777 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.7] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.7] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 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_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 10441576 | 0.405263 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 8584122 | 0.405369 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 8589020 | 0.405382 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] | 8591958 | 0.405388 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.7] | 7449074 | 0.409285 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.7] | 6647233 | 0.409316 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.7] | 6645302 | 0.409327 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 6643912 | 0.409333 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.7] | 7441699 | 0.409355 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.7] | 7447270 | 0.409369 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | 8244858 | 0.413813 | ../../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_7_w_0_75[cache_size=0.1,treshold=0.7] | 9368249 | 0.21376 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.7] | 10263795 | 0.213873 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 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_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] | 10270627 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 10270247 | 0.213883 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] | 10269849 | 0.213883 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.7] | 10267513 | 0.213888 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.7] | 10237768 | 0.213947 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 10141980 | 0.214132 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.7] | 7147789 | 0.216477 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.7] | 7146054 | 0.216485 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.7] | 7147145 | 0.216487 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 7213949 | 0.217073 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.7] | 7212388 | 0.217075 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.7] | 7213158 | 0.21708 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | 7889703 | 0.219279 | ../../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_w_0_75[cache_size=0.2,treshold=0.7] | 9204046 | 0.152762 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.7] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 10003468 | 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_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.7] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] | 10003471 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 10002848 | 0.152793 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.7] | 10002271 | 0.152794 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.7] | 9608791 | 0.153425 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 9590329 | 0.153458 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.7] | 9573701 | 0.153485 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.7] | 7018961 | 0.154486 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.7] | 7016787 | 0.154489 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.7] | 7011377 | 0.154498 | ../../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_w_0_75[cache_size=0.4,treshold=0.7] | 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_w_0_5[cache_size=0.4,treshold=0.7] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.7] | 9241413 | 0.089703 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.7] | 8687945 | 0.0898086 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.7] | 8406465 | 0.0906164 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 8402875 | 0.0906213 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.7] | 8401407 | 0.0906235 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.7] | 6570367 | 0.0906611 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.7] | 6570572 | 0.0906615 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.7] | 6571009 | 0.0906615 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.7] | 8355243 | 0.0906845 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.7] | 8350256 | 0.0906917 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 8347871 | 0.0906953 | ../../result/log/zipf_1_19 | 0.4 | 1 |