Zipf1 Weighted Models with Treshold 0.6 Test Data Result Obj Size Ignored
Result
Model Summaries
| Model | Better than base % of the times |
|---|
| LR_7[cache_size=0.01,treshold=0.6] | 0 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.6] | 100 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.6] | 0 |
| LR_8[cache_size=0.01,treshold=0.6] | 0 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.6] | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.6] | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 |
| LR_9[cache_size=0.01,treshold=0.6] | 0 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.6] | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.6] | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.6] | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 |
| LR_7[cache_size=0.1,treshold=0.6] | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.6] | 40 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.6] | 0 |
| LR_8[cache_size=0.1,treshold=0.6] | 0 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.6] | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 0 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.6] | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0 |
| LR_9[cache_size=0.1,treshold=0.6] | 0 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.6] | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 0 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.6] | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.6] | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0 |
| LR_7[cache_size=0.2,treshold=0.6] | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.6] | 100 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.6] | 0 |
| LR_8[cache_size=0.2,treshold=0.6] | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.6] | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.6] | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 |
| LR_9[cache_size=0.2,treshold=0.6] | 0 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.6] | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.6] | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.6] | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 |
| LR_7[cache_size=0.4,treshold=0.6] | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 0 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.6] | 0 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.6] | 0 |
| LR_8[cache_size=0.4,treshold=0.6] | 0 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.6] | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 0 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.6] | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 0 |
| LR_9[cache_size=0.4,treshold=0.6] | 0 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.6] | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 0 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.6] | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.6] | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 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=0.6] | 46.1366 | 46.1098 | 46.1229 | 46.1218 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 48.3661 | 48.3242 | 48.3463 | 48.3529 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 20.2426 | 20.2062 | 20.2199 | 20.2198 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 33.7875 | 33.7483 | 33.7655 | 33.7628 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 37.2107 | 37.1812 | 37.1935 | 37.195 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0.000277841 | 0.000201154 | 0.000226053 | 0.000220247 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0.00125507 | 0.000976922 | 0.00113026 | 0.00116827 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.6] | 8.99214 | 8.96998 | 8.98099 | 8.98582 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.6] | 24.9419 | 24.9275 | 24.935 | 24.937 |
| LR_8[cache_size=0.01,treshold=0.6] | 46.3455 | 46.3178 | 46.3289 | 46.3244 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.6] | 48.3509 | 48.3121 | 48.3326 | 48.339 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 20.2506 | 20.213 | 20.2268 | 20.2266 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 33.7741 | 33.736 | 33.7523 | 33.7508 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.6] | 36.6564 | 36.6169 | 36.6326 | 36.6337 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_9[cache_size=0.01,treshold=0.6] | 46.592 | 46.5631 | 46.5781 | 46.5806 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.6] | 48.3555 | 48.3178 | 48.337 | 48.343 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 20.2447 | 20.2062 | 20.2225 | 20.2228 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 33.7629 | 33.7228 | 33.7411 | 33.7398 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.6] | 35.5018 | 35.4628 | 35.4818 | 35.484 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | 42.9958 | 42.9828 | 42.9889 | 42.9862 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.1,treshold=0.6] | 47.8454 | 47.7884 | 47.822 | 47.8263 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 53.9288 | 53.8688 | 53.9037 | 53.9124 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0.0284907 | 0.0252565 | 0.0265186 | 0.0260401 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 28.3546 | 28.301 | 28.3194 | 28.3142 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 38.7766 | 38.6998 | 38.7353 | 38.741 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 3.89545e-05 | 0 | 1.75254e-05 | 9.73649e-06 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0.00968408 | 0.0091523 | 0.00935943 | 0.00924195 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.6] | 11.2041 | 11.1792 | 11.1922 | 11.1894 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.6] | 29.4669 | 29.4313 | 29.4509 | 29.4519 |
| LR_8[cache_size=0.1,treshold=0.6] | 47.8241 | 47.7686 | 47.8003 | 47.8032 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.6] | 53.9202 | 53.8608 | 53.8949 | 53.9047 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0.0287048 | 0.0256946 | 0.0269041 | 0.0264781 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 28.2463 | 28.193 | 28.212 | 28.2081 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.6] | 38.6699 | 38.5923 | 38.629 | 38.6328 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0.0102972 | 0.00962939 | 0.00990655 | 0.00978241 |
| LR_9[cache_size=0.1,treshold=0.6] | 47.8607 | 47.8043 | 47.8393 | 47.8454 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.6] | 53.8888 | 53.8284 | 53.8645 | 53.8731 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0.0387013 | 0.034438 | 0.0362304 | 0.0360764 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 28.2028 | 28.1436 | 28.1652 | 28.1618 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.6] | 38.5841 | 38.5032 | 38.5403 | 38.5437 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0.00916825 | 0.00848782 | 0.00880064 | 0.0087258 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | 47.6731 | 47.6203 | 47.6407 | 47.6343 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 20.1059 | 20.0742 | 20.0878 | 20.085 |
| LR_decay_vtime[cache_size=0.1,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.2,treshold=0.6] | 47.7083 | 47.6877 | 47.7012 | 47.7035 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 56.4722 | 56.4611 | 56.4676 | 56.4672 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 0.00238931 | 0.0017194 | 0.00206727 | 0.00211991 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 39.6949 | 39.6482 | 39.6709 | 39.6686 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 3.2357 | 3.13582 | 3.18307 | 3.17679 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.6] | 10.4566 | 10.3949 | 10.4257 | 10.4256 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.6] | 28.803 | 28.7651 | 28.7917 | 28.7981 |
| LR_8[cache_size=0.2,treshold=0.6] | 47.7311 | 47.7086 | 47.7239 | 47.728 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.6] | 56.5253 | 56.5156 | 56.52 | 56.5185 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.6] | 39.7323 | 39.6844 | 39.7078 | 39.7041 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 2.88387 | 2.81985 | 2.85476 | 2.85546 |
| LR_9[cache_size=0.2,treshold=0.6] | 47.7398 | 47.7164 | 47.7314 | 47.7346 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.6] | 56.4336 | 56.4218 | 56.4292 | 56.4299 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0.00102996 | 0.000769732 | 0.000897685 | 0.000899741 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 27.7058 | 27.6649 | 27.685 | 27.6868 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.6] | 39.6478 | 39.5967 | 39.622 | 39.6175 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 2.69928 | 2.63889 | 2.67296 | 2.6757 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | 53.044 | 53.0295 | 53.0372 | 53.0391 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.4,treshold=0.6] | 47.1282 | 47.0439 | 47.084 | 47.0885 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2799 | 41.1786 | 41.2212 | 41.2187 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.20708 | 1.13725 | 1.16519 | 1.16108 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 41.1381 | 41.0351 | 41.0759 | 41.0723 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.27854 | 1.21032 | 1.23588 | 1.232 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.6] | 7.55555 | 7.52466 | 7.54661 | 7.55269 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.6] | 23.4619 | 23.3617 | 23.4114 | 23.4125 |
| LR_8[cache_size=0.4,treshold=0.6] | 47.1254 | 47.0407 | 47.0807 | 47.0844 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.6] | 41.283 | 41.1815 | 41.2248 | 41.2225 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.19318 | 1.12246 | 1.15034 | 1.14557 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.6] | 41.1176 | 41.0138 | 41.0557 | 41.0527 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.30925 | 1.24089 | 1.2663 | 1.26079 |
| LR_9[cache_size=0.4,treshold=0.6] | 47.1293 | 47.0449 | 47.0854 | 47.09 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2734 | 41.1719 | 41.2153 | 41.2133 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.13514 | 1.06181 | 1.09055 | 1.08333 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.6] | 41.1118 | 41.0056 | 41.0488 | 41.0456 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.24975 | 1.17907 | 1.20582 | 1.19918 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | 56.4765 | 56.4193 | 56.4422 | 56.4435 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 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=0.6] | -2.43525 | -2.44784 | -2.44125 | -2.44002 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | -2.08708 | -2.09713 | -2.09183 | -2.0911 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | -0.0974827 | -0.102628 | -0.100187 | -0.100434 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | -0.807009 | -0.815701 | -0.811759 | -0.813588 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | -2.8999 | -2.91011 | -2.90359 | -2.90345 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | -0.000246808 | -0.000197407 | -0.000246758 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.6] | 0.0241856 | 0.0214631 | 0.0232454 | 0.0236887 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.6] | -0.760859 | -0.766833 | -0.763343 | -0.762754 |
| LR_8[cache_size=0.01,treshold=0.6] | -2.44932 | -2.46166 | -2.45566 | -2.45458 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.6] | -2.08535 | -2.09515 | -2.09025 | -2.08986 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | -0.0977295 | -0.103368 | -0.100828 | -0.101174 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | -0.806269 | -0.814467 | -0.810574 | -0.812107 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.6] | -2.84684 | -2.85853 | -2.85122 | -2.8504 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_9[cache_size=0.01,treshold=0.6] | -2.46486 | -2.47598 | -2.47012 | -2.46815 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.6] | -2.08535 | -2.0954 | -2.0901 | -2.08937 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | -0.0952616 | -0.100901 | -0.0982123 | -0.0984765 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | -0.804541 | -0.812986 | -0.809192 | -0.810874 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.6] | -2.74345 | -2.75463 | -2.74842 | -2.74799 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | -3.92616 | -3.93264 | -3.92944 | -3.92947 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.1,treshold=0.6] | -3.21156 | -3.22139 | -3.21605 | -3.21626 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | -3.89765 | -3.91643 | -3.90478 | -3.90363 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | -0.00233774 | -0.00280614 | -0.00252486 | -0.0023384 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | -1.34973 | -1.36496 | -1.3554 | -1.35431 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | -4.39381 | -4.41099 | -4.40228 | -4.40196 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | -0.000934654 | -0.000935379 | -0.000935143 | -0.000935226 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.6] | 0.00654766 | -0.00280568 | 0.000281158 | -0.00186931 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.6] | -1.11457 | -1.11965 | -1.11694 | -1.11589 |
| LR_8[cache_size=0.1,treshold=0.6] | -3.2111 | -3.21998 | -3.21493 | -3.21486 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.6] | -3.89719 | -3.91597 | -3.90385 | -3.9027 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | -0.00233774 | -0.00280614 | -0.00252486 | -0.0023384 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | -1.3563 | -1.37104 | -1.36157 | -1.36039 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.6] | -4.37745 | -4.39603 | -4.38713 | -4.38747 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | -0.000934654 | -0.000935379 | -0.000935143 | -0.000935226 |
| LR_9[cache_size=0.1,treshold=0.6] | -3.2111 | -3.22045 | -3.21558 | -3.21626 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.6] | -3.89251 | -3.91129 | -3.89973 | -3.89802 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | -0.00280529 | -0.00327383 | -0.00299243 | -0.00280609 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | -1.3563 | -1.37198 | -1.36241 | -1.36226 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.6] | -4.36483 | -4.38434 | -4.37488 | -4.37484 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | -0.000934654 | -0.000935379 | -0.000935143 | -0.000935226 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | -4.97236 | -4.98943 | -4.98057 | -4.98172 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | -2.26545 | -2.27531 | -2.26931 | -2.26807 |
| LR_decay_vtime[cache_size=0.1,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.2,treshold=0.6] | -3.21367 | -3.23579 | -3.22569 | -3.22357 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | -7.39834 | -7.41252 | -7.40403 | -7.40246 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 | -0.000654853 | -0.000261868 | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | -5.09984 | -5.11987 | -5.11214 | -5.11221 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | -0.33042 | -0.33463 | -0.332126 | -0.330606 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.6] | 0.0307622 | 0.0189746 | 0.0244808 | 0.0242296 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.6] | -0.95936 | -0.979481 | -0.969407 | -0.968903 |
| LR_8[cache_size=0.2,treshold=0.6] | -3.2189 | -3.24168 | -3.23092 | -3.22881 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.6] | -7.40554 | -7.41906 | -7.41083 | -7.41032 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.6] | -5.10573 | -5.1251 | -5.11803 | -5.1181 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | -0.29705 | -0.305816 | -0.300576 | -0.299182 |
| LR_9[cache_size=0.2,treshold=0.6] | -3.21628 | -3.23907 | -3.22844 | -3.22619 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.6] | -7.39376 | -7.40729 | -7.39866 | -7.3964 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | -1.58452 | -1.59714 | -1.58928 | -1.58851 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.6] | -5.09133 | -5.11113 | -5.10402 | -5.10436 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | -0.278232 | -0.286171 | -0.281594 | -0.280132 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | -6.96432 | -6.97283 | -6.96822 | -6.966 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.4,treshold=0.6] | -2.91977 | -2.98173 | -2.9458 | -2.94612 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | -5.77502 | -5.81742 | -5.79959 | -5.80283 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | -0.121401 | -0.132039 | -0.127654 | -0.128589 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | -5.75028 | -5.79121 | -5.77332 | -5.77653 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | -0.128981 | -0.140062 | -0.135078 | -0.134829 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.6] | -0.123575 | -0.15138 | -0.141567 | -0.146451 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.6] | -0.668127 | -0.711532 | -0.692896 | -0.701873 |
| LR_8[cache_size=0.4,treshold=0.6] | -2.91977 | -2.98195 | -2.94584 | -2.94589 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.6] | -5.77569 | -5.81787 | -5.79999 | -5.80294 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | -0.119952 | -0.130257 | -0.126027 | -0.126583 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.6] | -5.74683 | -5.78697 | -5.7694 | -5.77251 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | -0.132883 | -0.143293 | -0.138377 | -0.138172 |
| LR_9[cache_size=0.4,treshold=0.6] | -2.91966 | -2.98184 | -2.94555 | -2.94567 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.6] | -5.77413 | -5.8162 | -5.79831 | -5.8015 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | -0.114823 | -0.124924 | -0.120253 | -0.121457 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.6] | -5.74594 | -5.78608 | -5.76842 | -5.7714 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | -0.125637 | -0.136496 | -0.131868 | -0.132489 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | -8.84845 | -8.89001 | -8.87027 | -8.87001 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 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_7_w_0_5[cache_size=0.2,treshold=0.6] | 10.4257 | 0.0244808 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.6] | 8.98099 | 0.0232454 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.6] | 11.1922 | 0.000281158 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 1.75254e-05 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0.000226053 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0.000897685 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0.00113026 | -0.000197407 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 0.00206727 | -0.000261868 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0.00880064 | -0.000935143 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0.00990655 | -0.000935143 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0.00935943 | -0.000935143 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0.0269041 | -0.00252486 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0.0265186 | -0.00252486 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0.0362304 | -0.00299243 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 20.2225 | -0.0982123 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 20.2199 | -0.100187 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 20.2268 | -0.100828 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.09055 | -0.120253 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.15034 | -0.126027 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.16519 | -0.127654 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.20582 | -0.131868 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.23588 | -0.135078 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.2663 | -0.138377 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.6] | 7.54661 | -0.141567 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 2.67296 | -0.281594 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 2.85476 | -0.300576 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 3.18307 | -0.332126 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.6] | 23.4114 | -0.692896 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.6] | 24.935 | -0.763343 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 33.7411 | -0.809192 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 33.7523 | -0.810574 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 33.7655 | -0.811759 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.6] | 28.7917 | -0.969407 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.6] | 29.4509 | -1.11694 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 28.3194 | -1.3554 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 28.212 | -1.36157 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 28.1652 | -1.36241 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 27.685 | -1.58928 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.6] | 48.337 | -2.0901 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.6] | 48.3326 | -2.09025 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 48.3463 | -2.09183 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 20.0878 | -2.26931 |
| LR_7[cache_size=0.01,treshold=0.6] | 46.1229 | -2.44125 |
| LR_8[cache_size=0.01,treshold=0.6] | 46.3289 | -2.45566 |
| LR_9[cache_size=0.01,treshold=0.6] | 46.5781 | -2.47012 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.6] | 35.4818 | -2.74842 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.6] | 36.6326 | -2.85122 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 37.1935 | -2.90359 |
| LR_9[cache_size=0.4,treshold=0.6] | 47.0854 | -2.94555 |
| LR_7[cache_size=0.4,treshold=0.6] | 47.084 | -2.9458 |
| LR_8[cache_size=0.4,treshold=0.6] | 47.0807 | -2.94584 |
| LR_8[cache_size=0.1,treshold=0.6] | 47.8003 | -3.21493 |
| LR_9[cache_size=0.1,treshold=0.6] | 47.8393 | -3.21558 |
| LR_7[cache_size=0.1,treshold=0.6] | 47.822 | -3.21605 |
| LR_7[cache_size=0.2,treshold=0.6] | 47.7012 | -3.22569 |
| LR_9[cache_size=0.2,treshold=0.6] | 47.7314 | -3.22844 |
| LR_8[cache_size=0.2,treshold=0.6] | 47.7239 | -3.23092 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.6] | 53.8645 | -3.89973 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.6] | 53.8949 | -3.90385 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 53.9037 | -3.90478 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | 42.9889 | -3.92944 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.6] | 38.5403 | -4.37488 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.6] | 38.629 | -4.38713 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 38.7353 | -4.40228 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | 47.6407 | -4.98057 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.6] | 39.622 | -5.10402 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 39.6709 | -5.11214 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.6] | 39.7078 | -5.11803 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.6] | 41.0488 | -5.76842 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.6] | 41.0557 | -5.7694 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 41.0759 | -5.77332 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2153 | -5.79831 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2212 | -5.79959 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2248 | -5.79999 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | 53.0372 | -6.96822 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.6] | 56.4292 | -7.39866 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 56.4676 | -7.40403 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.6] | 56.52 | -7.41083 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | 56.4422 | -8.87027 |
Cache Size 0.01
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 42.0861 | 0.362449 |
| Zipf Optimal Distribution | 8.83002 | 0.192773 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.6] | 8.98099 | 0.0232454 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0.000226053 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0.00113026 | -0.000197407 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 20.2225 | -0.0982123 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 20.2199 | -0.100187 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 20.2268 | -0.100828 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.6] | 24.935 | -0.763343 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 33.7411 | -0.809192 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 33.7523 | -0.810574 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 33.7655 | -0.811759 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.6] | 48.337 | -2.0901 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.6] | 48.3326 | -2.09025 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 48.3463 | -2.09183 |
| LR_7[cache_size=0.01,treshold=0.6] | 46.1229 | -2.44125 |
| LR_8[cache_size=0.01,treshold=0.6] | 46.3289 | -2.45566 |
| LR_9[cache_size=0.01,treshold=0.6] | 46.5781 | -2.47012 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.6] | 35.4818 | -2.74842 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.6] | 36.6326 | -2.85122 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 37.1935 | -2.90359 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | 42.9889 | -3.92944 |
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_5[cache_size=0.1,treshold=0.6] | 11.1922 | 0.000281158 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 1.75254e-05 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.6] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0.00935943 | -0.000935143 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0.00990655 | -0.000935143 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0.00880064 | -0.000935143 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0.0265186 | -0.00252486 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0.0269041 | -0.00252486 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0.0362304 | -0.00299243 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.6] | 29.4509 | -1.11694 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 28.3194 | -1.3554 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 28.212 | -1.36157 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 28.1652 | -1.36241 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 20.0878 | -2.26931 |
| LR_8[cache_size=0.1,treshold=0.6] | 47.8003 | -3.21493 |
| LR_9[cache_size=0.1,treshold=0.6] | 47.8393 | -3.21558 |
| LR_7[cache_size=0.1,treshold=0.6] | 47.822 | -3.21605 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.6] | 53.8645 | -3.89973 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.6] | 53.8949 | -3.90385 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 53.9037 | -3.90478 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.6] | 38.5403 | -4.37488 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.6] | 38.629 | -4.38713 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 38.7353 | -4.40228 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | 47.6407 | -4.98057 |
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_5[cache_size=0.2,treshold=0.6] | 10.4257 | 0.0244808 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0.000897685 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 0.00206727 | -0.000261868 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 2.67296 | -0.281594 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 2.85476 | -0.300576 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 3.18307 | -0.332126 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.6] | 28.7917 | -0.969407 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 27.685 | -1.58928 |
| LR_7[cache_size=0.2,treshold=0.6] | 47.7012 | -3.22569 |
| LR_9[cache_size=0.2,treshold=0.6] | 47.7314 | -3.22844 |
| LR_8[cache_size=0.2,treshold=0.6] | 47.7239 | -3.23092 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.6] | 39.622 | -5.10402 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 39.6709 | -5.11214 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.6] | 39.7078 | -5.11803 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | 53.0372 | -6.96822 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.6] | 56.4292 | -7.39866 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 56.4676 | -7.40403 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.6] | 56.52 | -7.41083 |
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_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.09055 | -0.120253 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.15034 | -0.126027 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.16519 | -0.127654 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.20582 | -0.131868 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.23588 | -0.135078 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.2663 | -0.138377 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.6] | 7.54661 | -0.141567 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.6] | 23.4114 | -0.692896 |
| LR_9[cache_size=0.4,treshold=0.6] | 47.0854 | -2.94555 |
| LR_7[cache_size=0.4,treshold=0.6] | 47.084 | -2.9458 |
| LR_8[cache_size=0.4,treshold=0.6] | 47.0807 | -2.94584 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.6] | 41.0488 | -5.76842 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.6] | 41.0557 | -5.7694 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 41.0759 | -5.77332 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2153 | -5.79831 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2212 | -5.79959 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2248 | -5.79999 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | 56.4422 | -8.87027 |
Cache Size All
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.0175 | 1.84941 |
| Zipf Optimal Distribution | 13.1121 | 0.902408 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.6] | 10.4256 | 0.0242296 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.6] | 8.98582 | 0.0236887 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 9.73649e-06 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 0.00211991 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0.000220247 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0.000899741 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0.00116827 | -0.000246758 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0.00978241 | -0.000935226 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0.0087258 | -0.000935226 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0.00924195 | -0.000935226 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.6] | 11.1894 | -0.00186931 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0.0264781 | -0.0023384 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0.0260401 | -0.0023384 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0.0360764 | -0.00280609 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 20.2228 | -0.0984765 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 20.2198 | -0.100434 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 20.2266 | -0.101174 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.08333 | -0.121457 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.14557 | -0.126583 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.16108 | -0.128589 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.19918 | -0.132489 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.232 | -0.134829 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.26079 | -0.138172 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.6] | 7.55269 | -0.146451 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 2.6757 | -0.280132 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 2.85546 | -0.299182 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 3.17679 | -0.330606 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.6] | 23.4125 | -0.701873 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.6] | 24.937 | -0.762754 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 33.7398 | -0.810874 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 33.7508 | -0.812107 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 33.7628 | -0.813588 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.6] | 28.7981 | -0.968903 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.6] | 29.4519 | -1.11589 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 28.3142 | -1.35431 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 28.2081 | -1.36039 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 28.1618 | -1.36226 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 27.6868 | -1.58851 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.6] | 48.343 | -2.08937 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.6] | 48.339 | -2.08986 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 48.3529 | -2.0911 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 20.085 | -2.26807 |
| LR_7[cache_size=0.01,treshold=0.6] | 46.1218 | -2.44002 |
| LR_8[cache_size=0.01,treshold=0.6] | 46.3244 | -2.45458 |
| LR_9[cache_size=0.01,treshold=0.6] | 46.5806 | -2.46815 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.6] | 35.484 | -2.74799 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.6] | 36.6337 | -2.8504 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 37.195 | -2.90345 |
| LR_9[cache_size=0.4,treshold=0.6] | 47.09 | -2.94567 |
| LR_8[cache_size=0.4,treshold=0.6] | 47.0844 | -2.94589 |
| LR_7[cache_size=0.4,treshold=0.6] | 47.0885 | -2.94612 |
| LR_8[cache_size=0.1,treshold=0.6] | 47.8032 | -3.21486 |
| LR_7[cache_size=0.1,treshold=0.6] | 47.8263 | -3.21626 |
| LR_9[cache_size=0.1,treshold=0.6] | 47.8454 | -3.21626 |
| LR_7[cache_size=0.2,treshold=0.6] | 47.7035 | -3.22357 |
| LR_9[cache_size=0.2,treshold=0.6] | 47.7346 | -3.22619 |
| LR_8[cache_size=0.2,treshold=0.6] | 47.728 | -3.22881 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.6] | 53.8731 | -3.89802 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.6] | 53.9047 | -3.9027 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 53.9124 | -3.90363 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | 42.9862 | -3.92947 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.6] | 38.5437 | -4.37484 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.6] | 38.6328 | -4.38747 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 38.741 | -4.40196 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | 47.6343 | -4.98172 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.6] | 39.6175 | -5.10436 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 39.6686 | -5.11221 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.6] | 39.7041 | -5.1181 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.6] | 41.0456 | -5.7714 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.6] | 41.0527 | -5.77251 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 41.0723 | -5.77653 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2133 | -5.8015 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2187 | -5.80283 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2225 | -5.80294 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | 53.0391 | -6.966 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.6] | 56.4299 | -7.3964 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 56.4672 | -7.40246 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.6] | 56.5185 | -7.41032 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | 56.4435 | -8.87001 |
Cache Size 0.01
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 42.0861 | 0.361512 |
| Zipf Optimal Distribution | 8.82408 | 0.192718 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.6] | 8.98582 | 0.0236887 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0.000220247 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 0.00116827 | -0.000246758 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 20.2228 | -0.0984765 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 20.2198 | -0.100434 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 20.2266 | -0.101174 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.6] | 24.937 | -0.762754 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 33.7398 | -0.810874 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 33.7508 | -0.812107 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 33.7628 | -0.813588 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.6] | 48.343 | -2.08937 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.6] | 48.339 | -2.08986 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 48.3529 | -2.0911 |
| LR_7[cache_size=0.01,treshold=0.6] | 46.1218 | -2.44002 |
| LR_8[cache_size=0.01,treshold=0.6] | 46.3244 | -2.45458 |
| LR_9[cache_size=0.01,treshold=0.6] | 46.5806 | -2.46815 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.6] | 35.484 | -2.74799 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.6] | 36.6337 | -2.8504 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 37.195 | -2.90345 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | 42.9862 | -3.92947 |
Cache Size 0.1
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.0175 | 1.84941 |
| Zipf Optimal Distribution | 13.1121 | 0.902408 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 9.73649e-06 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.6] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0.00978241 | -0.000935226 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0.00924195 | -0.000935226 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 0.0087258 | -0.000935226 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.6] | 11.1894 | -0.00186931 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0.0260401 | -0.0023384 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0.0264781 | -0.0023384 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 0.0360764 | -0.00280609 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.6] | 29.4519 | -1.11589 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 28.3142 | -1.35431 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 28.2081 | -1.36039 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 28.1618 | -1.36226 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 20.085 | -2.26807 |
| LR_8[cache_size=0.1,treshold=0.6] | 47.8032 | -3.21486 |
| LR_7[cache_size=0.1,treshold=0.6] | 47.8263 | -3.21626 |
| LR_9[cache_size=0.1,treshold=0.6] | 47.8454 | -3.21626 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.6] | 53.8731 | -3.89802 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.6] | 53.9047 | -3.9027 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 53.9124 | -3.90363 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.6] | 38.5437 | -4.37484 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.6] | 38.6328 | -4.38747 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 38.741 | -4.40196 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | 47.6343 | -4.98172 |
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_5[cache_size=0.2,treshold=0.6] | 10.4256 | 0.0242296 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 0.00211991 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0.000899741 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 2.6757 | -0.280132 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 2.85546 | -0.299182 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 3.17679 | -0.330606 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.6] | 28.7981 | -0.968903 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 27.6868 | -1.58851 |
| LR_7[cache_size=0.2,treshold=0.6] | 47.7035 | -3.22357 |
| LR_9[cache_size=0.2,treshold=0.6] | 47.7346 | -3.22619 |
| LR_8[cache_size=0.2,treshold=0.6] | 47.728 | -3.22881 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.6] | 39.6175 | -5.10436 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 39.6686 | -5.11221 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.6] | 39.7041 | -5.1181 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | 53.0391 | -6.966 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.6] | 56.4299 | -7.3964 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 56.4672 | -7.40246 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.6] | 56.5185 | -7.41032 |
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_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.08333 | -0.121457 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.14557 | -0.126583 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.16108 | -0.128589 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.19918 | -0.132489 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.232 | -0.134829 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 1.26079 | -0.138172 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.6] | 7.55269 | -0.146451 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.6] | 23.4125 | -0.701873 |
| LR_9[cache_size=0.4,treshold=0.6] | 47.09 | -2.94567 |
| LR_8[cache_size=0.4,treshold=0.6] | 47.0844 | -2.94589 |
| LR_7[cache_size=0.4,treshold=0.6] | 47.0885 | -2.94612 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.6] | 41.0456 | -5.7714 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.6] | 41.0527 | -5.77251 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 41.0723 | -5.77653 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2133 | -5.8015 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2187 | -5.80283 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2225 | -5.80294 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | 56.4435 | -8.87001 |
Model Classification Report
LR_7
0.01
Treshold: 0.6
All
precision recall f1-score support
0 0.77 0.75 0.76 28055468
1 0.69 0.72 0.70 21729815
accuracy 0.74 49785283
macro avg 0.73 0.73 0.73 49785283
weighted avg 0.74 0.74 0.74 49785283
Accuracy: 0.7355653276089643
0-1%
precision recall f1-score support
0 0.78 0.76 0.77 27764588
1 0.62 0.65 0.64 17098553
accuracy 0.72 44863141
macro avg 0.70 0.70 0.70 44863141
weighted avg 0.72 0.72 0.72 44863141
Accuracy: 0.7159792266885637
1-10%
precision recall f1-score support
0 0.09 0.05 0.06 287564
1 0.94 0.97 0.95 4164787
accuracy 0.91 4452351
macro avg 0.51 0.51 0.51 4452351
weighted avg 0.88 0.91 0.89 4452351
Accuracy: 0.9077972513847179
10-20%
precision recall f1-score support
0 0.01 0.02 0.01 2455
1 0.99 0.99 0.99 257616
accuracy 0.98 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.98 0.98 260071
Accuracy: 0.9765948529440037
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: 0.9748755972475177
40-80%
precision recall f1-score support
0 0.00 0.05 0.01 169
1 1.00 0.97 0.98 65234
accuracy 0.96 65403
macro avg 0.50 0.51 0.49 65403
weighted avg 0.99 0.96 0.98 65403
Accuracy: 0.9638854486797241
80-90%
precision recall f1-score support
0 0.00 0.07 0.01 15
1 1.00 0.96 0.98 7371
accuracy 0.95 7386
macro avg 0.50 0.51 0.49 7386
weighted avg 1.00 0.95 0.97 7386
Accuracy: 0.9545085296506904
90-100%
precision recall f1-score support
0 0.00 0.06 0.01 18
1 1.00 0.95 0.97 5686
accuracy 0.95 5704
macro avg 0.50 0.50 0.49 5704
weighted avg 0.99 0.95 0.97 5704
Accuracy: 0.9491584852734923
0.1
Treshold: 0.6
All
precision recall f1-score support
0 0.77 0.74 0.76 26119367
1 0.70 0.74 0.72 21615229
accuracy 0.74 47734596
macro avg 0.74 0.74 0.74 47734596
weighted avg 0.74 0.74 0.74 47734596
Accuracy: 0.7409564124099846
0-1%
precision recall f1-score support
0 0.96 0.95 0.96 12053010
1 0.11 0.15 0.13 508421
accuracy 0.92 12561431
macro avg 0.54 0.55 0.54 12561431
weighted avg 0.93 0.92 0.92 12561431
Accuracy: 0.9175185534195905
1-10%
precision recall f1-score support
0 0.62 0.59 0.61 13368467
1 0.64 0.67 0.65 14466820
accuracy 0.63 27835287
macro avg 0.63 0.63 0.63 27835287
weighted avg 0.63 0.63 0.63 27835287
Accuracy: 0.6313560194295823
10-20%
precision recall f1-score support
0 0.18 0.11 0.14 503365
1 0.88 0.93 0.90 3387274
accuracy 0.82 3890639
macro avg 0.53 0.52 0.52 3890639
weighted avg 0.79 0.82 0.80 3890639
Accuracy: 0.8202835061284277
20-40%
precision recall f1-score support
0 0.10 0.09 0.10 147488
1 0.93 0.94 0.94 1970425
accuracy 0.88 2117913
macro avg 0.52 0.52 0.52 2117913
weighted avg 0.87 0.88 0.88 2117913
Accuracy: 0.8809167326514357
40-80%
precision recall f1-score support
0 0.06 0.09 0.07 41616
1 0.96 0.94 0.95 1064279
accuracy 0.91 1105895
macro avg 0.51 0.52 0.51 1105895
weighted avg 0.93 0.91 0.92 1105895
Accuracy: 0.9104318221892675
80-90%
precision recall f1-score support
0 0.04 0.10 0.06 3093
1 0.98 0.94 0.96 120943
accuracy 0.92 124036
macro avg 0.51 0.52 0.51 124036
weighted avg 0.95 0.92 0.94 124036
Accuracy: 0.9208778096681609
90-100%
precision recall f1-score support
0 0.04 0.10 0.06 2328
1 0.98 0.94 0.96 97067
accuracy 0.92 99395
macro avg 0.51 0.52 0.51 99395
weighted avg 0.96 0.92 0.94 99395
Accuracy: 0.9229538709190603
0.2
Treshold: 0.6
All
precision recall f1-score support
0 0.78 0.75 0.76 24893266
1 0.71 0.74 0.72 20563095
accuracy 0.74 45456361
macro avg 0.74 0.74 0.74 45456361
weighted avg 0.74 0.74 0.74 45456361
Accuracy: 0.7428696503004277
0-1%
precision recall f1-score support
0 1.00 0.99 1.00 4873589
1 0.01 0.07 0.02 3872
accuracy 0.99 4877461
macro avg 0.50 0.53 0.51 4877461
weighted avg 1.00 0.99 1.00 4877461
Accuracy: 0.9929291079928676
1-10%
precision recall f1-score support
0 0.77 0.77 0.77 16949103
1 0.51 0.52 0.52 8016772
accuracy 0.69 24965875
macro avg 0.64 0.64 0.64 24965875
weighted avg 0.69 0.69 0.69 24965875
Accuracy: 0.6879438032914929
10-20%
precision recall f1-score support
0 0.40 0.26 0.32 2057494
1 0.75 0.85 0.80 5461156
accuracy 0.69 7518650
macro avg 0.57 0.56 0.56 7518650
weighted avg 0.66 0.69 0.67 7518650
Accuracy: 0.6884778517420016
20-40%
precision recall f1-score support
0 0.24 0.18 0.20 744974
1 0.86 0.90 0.88 4060539
accuracy 0.79 4805513
macro avg 0.55 0.54 0.54 4805513
weighted avg 0.76 0.79 0.77 4805513
Accuracy: 0.7854501694199975
40-80%
precision recall f1-score support
0 0.14 0.15 0.15 235909
1 0.92 0.91 0.92 2483775
accuracy 0.85 2719684
macro avg 0.53 0.53 0.53 2719684
weighted avg 0.85 0.85 0.85 2719684
Accuracy: 0.8462534617992384
80-90%
precision recall f1-score support
0 0.10 0.15 0.12 18577
1 0.94 0.92 0.93 296772
accuracy 0.87 315349
macro avg 0.52 0.53 0.52 315349
weighted avg 0.90 0.87 0.88 315349
Accuracy: 0.8718816295596308
90-100%
precision recall f1-score support
0 0.09 0.14 0.11 13620
1 0.95 0.92 0.93 240209
accuracy 0.88 253829
macro avg 0.52 0.53 0.52 253829
weighted avg 0.90 0.88 0.89 253829
Accuracy: 0.8771850340189655
0.4
Treshold: 0.6
All
precision recall f1-score support
0 0.79 0.76 0.77 22531902
1 0.69 0.74 0.72 16938696
accuracy 0.75 39470598
macro avg 0.74 0.75 0.74 39470598
weighted avg 0.75 0.75 0.75 39470598
Accuracy: 0.7480667761861627
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999993548382935
1-10%
precision recall f1-score support
0 0.92 0.93 0.92 11439888
1 0.31 0.30 0.30 1271288
accuracy 0.86 12711176
macro avg 0.62 0.61 0.61 12711176
weighted avg 0.86 0.86 0.86 12711176
Accuracy: 0.8637388074872066
10-20%
precision recall f1-score support
0 0.68 0.64 0.66 5044441
1 0.56 0.60 0.58 3812372
accuracy 0.63 8856813
macro avg 0.62 0.62 0.62 8856813
weighted avg 0.63 0.63 0.63 8856813
Accuracy: 0.6256980925305751
20-40%
precision recall f1-score support
0 0.52 0.40 0.45 2995598
1 0.71 0.80 0.76 5583215
accuracy 0.66 8578813
macro avg 0.62 0.60 0.60 8578813
weighted avg 0.65 0.66 0.65 8578813
Accuracy: 0.6613833405623831
40-80%
precision recall f1-score support
0 0.34 0.30 0.32 1295061
1 0.82 0.85 0.84 5001564
accuracy 0.74 6296625
macro avg 0.58 0.57 0.58 6296625
weighted avg 0.72 0.74 0.73 6296625
Accuracy: 0.7355556349631747
80-90%
precision recall f1-score support
0 0.25 0.28 0.27 117971
1 0.88 0.86 0.87 692761
accuracy 0.77 810732
macro avg 0.56 0.57 0.57 810732
weighted avg 0.78 0.77 0.78 810732
Accuracy: 0.774581489320762
90-100%
precision recall f1-score support
0 0.24 0.27 0.25 88944
1 0.89 0.86 0.87 577496
accuracy 0.78 666440
macro avg 0.56 0.57 0.56 666440
weighted avg 0.80 0.78 0.79 666440
Accuracy: 0.7839235340015606
LR_7_decay_rtime
0.01
Treshold: 0.6
All
precision recall f1-score support
0 0.83 0.76 0.79 28055468
1 0.72 0.80 0.76 21729815
accuracy 0.78 49785283
macro avg 0.77 0.78 0.78 49785283
weighted avg 0.78 0.78 0.78 49785283
Accuracy: 0.7768952523580112
0-1%
precision recall f1-score support
0 0.83 0.77 0.80 27764588
1 0.66 0.74 0.70 17098553
accuracy 0.76 44863141
macro avg 0.75 0.76 0.75 44863141
weighted avg 0.77 0.76 0.76 44863141
Accuracy: 0.7589012993985419
1-10%
precision recall f1-score support
0 0.17 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.55 0.50 0.48 4452351
weighted avg 0.89 0.94 0.90 4452351
Accuracy: 0.9354112018571761
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
0.1
Treshold: 0.6
All
precision recall f1-score support
0 0.80 0.72 0.76 26119367
1 0.70 0.78 0.74 21615229
accuracy 0.75 47734596
macro avg 0.75 0.75 0.75 47734596
weighted avg 0.75 0.75 0.75 47734596
Accuracy: 0.7475041791492275
0-1%
precision recall f1-score support
0 0.96 0.98 0.97 12053010
1 0.22 0.15 0.18 508421
accuracy 0.94 12561431
macro avg 0.59 0.56 0.57 12561431
weighted avg 0.93 0.94 0.94 12561431
Accuracy: 0.9442320703747845
1-10%
precision recall f1-score support
0 0.63 0.52 0.57 13368467
1 0.62 0.72 0.67 14466820
accuracy 0.63 27835287
macro avg 0.63 0.62 0.62 27835287
weighted avg 0.63 0.63 0.62 27835287
Accuracy: 0.6252407959723929
10-20%
precision recall f1-score support
0 0.16 0.07 0.10 503365
1 0.87 0.94 0.91 3387274
accuracy 0.83 3890639
macro avg 0.51 0.51 0.50 3890639
weighted avg 0.78 0.83 0.80 3890639
Accuracy: 0.8300199530205706
20-40%
precision recall f1-score support
0 0.09 0.03 0.05 147488
1 0.93 0.97 0.95 1970425
accuracy 0.91 2117913
macro avg 0.51 0.50 0.50 2117913
weighted avg 0.87 0.91 0.89 2117913
Accuracy: 0.9069602953473538
40-80%
precision recall f1-score support
0 0.05 0.02 0.03 41616
1 0.96 0.99 0.97 1064279
accuracy 0.95 1105895
macro avg 0.51 0.50 0.50 1105895
weighted avg 0.93 0.95 0.94 1105895
Accuracy: 0.9500739220269555
80-90%
precision recall f1-score support
0 0.03 0.01 0.02 3093
1 0.98 0.99 0.98 120943
accuracy 0.97 124036
macro avg 0.50 0.50 0.50 124036
weighted avg 0.95 0.97 0.96 124036
Accuracy: 0.9668967074075269
90-100%
precision recall f1-score support
0 0.03 0.01 0.01 2328
1 0.98 0.99 0.98 97067
accuracy 0.97 99395
macro avg 0.50 0.50 0.50 99395
weighted avg 0.95 0.97 0.96 99395
Accuracy: 0.9695055083253685
0.2
Treshold: 0.6
All
precision recall f1-score support
0 0.77 0.65 0.70 24893266
1 0.64 0.76 0.70 20563095
accuracy 0.70 45456361
macro avg 0.70 0.70 0.70 45456361
weighted avg 0.71 0.70 0.70 45456361
Accuracy: 0.6992088522000254
0-1%
precision recall f1-score support
0 1.00 0.99 0.99 4873589
1 0.03 0.54 0.06 3872
accuracy 0.99 4877461
macro avg 0.51 0.76 0.53 4877461
weighted avg 1.00 0.99 0.99 4877461
Accuracy: 0.985867237072731
1-10%
precision recall f1-score support
0 0.83 0.60 0.70 16949103
1 0.47 0.73 0.57 8016772
accuracy 0.65 24965875
macro avg 0.65 0.67 0.63 24965875
weighted avg 0.71 0.65 0.66 24965875
Accuracy: 0.6460417269572967
10-20%
precision recall f1-score support
0 0.38 0.37 0.38 2057494
1 0.77 0.78 0.77 5461156
accuracy 0.66 7518650
macro avg 0.57 0.57 0.57 7518650
weighted avg 0.66 0.66 0.66 7518650
Accuracy: 0.6638534843356187
20-40%
precision recall f1-score support
0 0.22 0.35 0.27 744974
1 0.87 0.78 0.82 4060539
accuracy 0.71 4805513
macro avg 0.55 0.56 0.55 4805513
weighted avg 0.77 0.71 0.74 4805513
Accuracy: 0.7115223702443423
40-80%
precision recall f1-score support
0 0.13 0.34 0.19 235909
1 0.93 0.78 0.84 2483775
accuracy 0.74 2719684
macro avg 0.53 0.56 0.51 2719684
weighted avg 0.86 0.74 0.79 2719684
Accuracy: 0.738614486094708
80-90%
precision recall f1-score support
0 0.09 0.34 0.14 18577
1 0.95 0.77 0.85 296772
accuracy 0.75 315349
macro avg 0.52 0.56 0.49 315349
weighted avg 0.90 0.75 0.81 315349
Accuracy: 0.7480061772829468
90-100%
precision recall f1-score support
0 0.08 0.34 0.13 13620
1 0.95 0.77 0.86 240209
accuracy 0.75 253829
macro avg 0.52 0.56 0.49 253829
weighted avg 0.91 0.75 0.82 253829
Accuracy: 0.751572909320842
0.4
Treshold: 0.6
All
precision recall f1-score support
0 0.75 0.77 0.76 22531902
1 0.68 0.65 0.67 16938696
accuracy 0.72 39470598
macro avg 0.71 0.71 0.71 39470598
weighted avg 0.72 0.72 0.72 39470598
Accuracy: 0.7205015996970707
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999799999870967
1-10%
precision recall f1-score support
0 0.95 0.86 0.90 11439888
1 0.33 0.61 0.43 1271288
accuracy 0.84 12711176
macro avg 0.64 0.74 0.66 12711176
weighted avg 0.89 0.84 0.86 12711176
Accuracy: 0.8353681044145719
10-20%
precision recall f1-score support
0 0.71 0.66 0.69 5044441
1 0.59 0.65 0.62 3812372
accuracy 0.66 8856813
macro avg 0.65 0.65 0.65 8856813
weighted avg 0.66 0.66 0.66 8856813
Accuracy: 0.6560412870859981
20-40%
precision recall f1-score support
0 0.49 0.61 0.54 2995598
1 0.76 0.66 0.70 5583215
accuracy 0.64 8578813
macro avg 0.62 0.63 0.62 8578813
weighted avg 0.66 0.64 0.65 8578813
Accuracy: 0.6403670297977121
40-80%
precision recall f1-score support
0 0.30 0.58 0.40 1295061
1 0.86 0.65 0.74 5001564
accuracy 0.64 6296625
macro avg 0.58 0.62 0.57 6296625
weighted avg 0.74 0.64 0.67 6296625
Accuracy: 0.639187977686459
80-90%
precision recall f1-score support
0 0.22 0.58 0.32 117971
1 0.90 0.65 0.75 692761
accuracy 0.64 810732
macro avg 0.56 0.61 0.53 810732
weighted avg 0.80 0.64 0.69 810732
Accuracy: 0.6372574414233063
90-100%
precision recall f1-score support
0 0.20 0.58 0.30 88944
1 0.91 0.65 0.76 577496
accuracy 0.64 666440
macro avg 0.55 0.61 0.53 666440
weighted avg 0.81 0.64 0.69 666440
Accuracy: 0.6373476982173939
LR_7_decay_rtime_w_0_5
0.01
Treshold: 0.6
All
precision recall f1-score support
0 0.68 0.94 0.79 28055468
1 0.85 0.43 0.57 21729815
accuracy 0.72 49785283
macro avg 0.77 0.68 0.68 49785283
weighted avg 0.76 0.72 0.69 49785283
Accuracy: 0.7171359857490416
0-1%
precision recall f1-score support
0 0.68 0.95 0.80 27764588
1 0.78 0.28 0.41 17098553
accuracy 0.70 44863141
macro avg 0.73 0.62 0.60 44863141
weighted avg 0.72 0.70 0.65 44863141
Accuracy: 0.6962432701713863
1-10%
precision recall f1-score support
0 0.09 0.06 0.08 287564
1 0.94 0.96 0.95 4164787
accuracy 0.90 4452351
macro avg 0.52 0.51 0.51 4452351
weighted avg 0.88 0.90 0.89 4452351
Accuracy: 0.8991937068753115
10-20%
precision recall f1-score support
0 0.03 0.02 0.03 2455
1 0.99 0.99 0.99 257616
accuracy 0.98 260071
macro avg 0.51 0.51 0.51 260071
weighted avg 0.98 0.98 0.98 260071
Accuracy: 0.98362754786193
20-40%
precision recall f1-score support
0 0.04 0.05 0.04 659
1 1.00 0.99 0.99 130568
accuracy 0.99 131227
macro avg 0.52 0.52 0.52 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.989796307162398
40-80%
precision recall f1-score support
0 0.04 0.08 0.06 169
1 1.00 1.00 1.00 65234
accuracy 0.99 65403
macro avg 0.52 0.54 0.53 65403
weighted avg 1.00 0.99 0.99 65403
Accuracy: 0.9926914667522897
80-90%
precision recall f1-score support
0 0.03 0.07 0.04 15
1 1.00 1.00 1.00 7371
accuracy 0.99 7386
macro avg 0.52 0.53 0.52 7386
weighted avg 1.00 0.99 1.00 7386
Accuracy: 0.9940427836447333
90-100%
precision recall f1-score support
0 0.13 0.22 0.17 18
1 1.00 1.00 1.00 5686
accuracy 0.99 5704
macro avg 0.57 0.61 0.58 5704
weighted avg 0.99 0.99 0.99 5704
Accuracy: 0.9929873772791024
0.1
Treshold: 0.6
All
precision recall f1-score support
0 0.59 0.95 0.73 26119367
1 0.77 0.18 0.30 21615229
accuracy 0.61 47734596
macro avg 0.68 0.57 0.51 47734596
weighted avg 0.67 0.61 0.53 47734596
Accuracy: 0.6056801444386374
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.25 0.00 0.01 508421
accuracy 0.96 12561431
macro avg 0.60 0.50 0.49 12561431
weighted avg 0.93 0.96 0.94 12561431
Accuracy: 0.9591213771743045
1-10%
precision recall f1-score support
0 0.50 0.92 0.65 13368467
1 0.67 0.14 0.24 14466820
accuracy 0.52 27835287
macro avg 0.59 0.53 0.44 27835287
weighted avg 0.59 0.52 0.43 27835287
Accuracy: 0.518705914546525
10-20%
precision recall f1-score support
0 0.13 0.75 0.23 503365
1 0.88 0.27 0.41 3387274
accuracy 0.33 3890639
macro avg 0.51 0.51 0.32 3890639
weighted avg 0.78 0.33 0.39 3890639
Accuracy: 0.33185474159900213
20-40%
precision recall f1-score support
0 0.07 0.73 0.13 147488
1 0.94 0.30 0.45 1970425
accuracy 0.33 2117913
macro avg 0.50 0.51 0.29 2117913
weighted avg 0.88 0.33 0.43 2117913
Accuracy: 0.3286985820475156
40-80%
precision recall f1-score support
0 0.04 0.72 0.07 41616
1 0.97 0.31 0.47 1064279
accuracy 0.33 1105895
macro avg 0.50 0.52 0.27 1105895
weighted avg 0.93 0.33 0.46 1105895
Accuracy: 0.3296633043824233
80-90%
precision recall f1-score support
0 0.03 0.72 0.05 3093
1 0.98 0.32 0.48 120943
accuracy 0.33 124036
macro avg 0.50 0.52 0.27 124036
weighted avg 0.95 0.33 0.47 124036
Accuracy: 0.3312102937856751
90-100%
precision recall f1-score support
0 0.02 0.71 0.05 2328
1 0.98 0.32 0.48 97067
accuracy 0.33 99395
macro avg 0.50 0.51 0.26 99395
weighted avg 0.96 0.33 0.47 99395
Accuracy: 0.3289400875295538
0.2
Treshold: 0.6
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: 0.6
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.85 0.01 0.02 16938696
accuracy 0.57 39470598
macro avg 0.71 0.50 0.37 39470598
weighted avg 0.69 0.57 0.42 39470598
Accuracy: 0.5741258847915098
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 0.78 0.01 0.01 1271288
accuracy 0.90 12711176
macro avg 0.84 0.50 0.48 12711176
weighted avg 0.89 0.90 0.85 12711176
Accuracy: 0.900488829672408
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.80 0.01 0.02 3812372
accuracy 0.57 8856813
macro avg 0.69 0.50 0.37 8856813
weighted avg 0.67 0.57 0.42 8856813
Accuracy: 0.5723699935857288
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.84 0.01 0.02 5583215
accuracy 0.35 8578813
macro avg 0.60 0.50 0.27 8578813
weighted avg 0.67 0.35 0.19 8578813
Accuracy: 0.3542627633916254
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.89 0.01 0.02 5001564
accuracy 0.21 6296625
macro avg 0.55 0.50 0.18 6296625
weighted avg 0.75 0.21 0.09 6296625
Accuracy: 0.21252274035693725
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.92 0.01 0.02 692761
accuracy 0.15 810732
macro avg 0.53 0.50 0.14 810732
weighted avg 0.81 0.15 0.05 810732
Accuracy: 0.15309868119181183
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.93 0.01 0.02 577496
accuracy 0.14 666440
macro avg 0.53 0.50 0.13 666440
weighted avg 0.83 0.14 0.05 666440
Accuracy: 0.14104045375427646
LR_7_decay_rtime_w_0_75
0.01
Treshold: 0.6
All
precision recall f1-score support
0 0.75 0.87 0.81 28055468
1 0.79 0.63 0.70 21729815
accuracy 0.76 49785283
macro avg 0.77 0.75 0.75 49785283
weighted avg 0.77 0.76 0.76 49785283
Accuracy: 0.7644530211870042
0-1%
precision recall f1-score support
0 0.75 0.88 0.81 27764588
1 0.73 0.53 0.61 17098553
accuracy 0.75 44863141
macro avg 0.74 0.70 0.71 44863141
weighted avg 0.74 0.75 0.73 44863141
Accuracy: 0.7452062484880405
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 0.49 4452351
weighted avg 0.88 0.93 0.90 4452351
Accuracy: 0.934280563235019
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: 0.6
All
precision recall f1-score support
0 0.68 0.85 0.76 26119367
1 0.74 0.52 0.61 21615229
accuracy 0.70 47734596
macro avg 0.71 0.69 0.68 47734596
weighted avg 0.71 0.70 0.69 47734596
Accuracy: 0.700898421765212
0-1%
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.25 0.05 0.08 508421
accuracy 0.96 12561431
macro avg 0.60 0.52 0.53 12561431
weighted avg 0.93 0.96 0.94 12561431
Accuracy: 0.9553822331229619
1-10%
precision recall f1-score support
0 0.56 0.74 0.64 13368467
1 0.66 0.46 0.54 14466820
accuracy 0.59 27835287
macro avg 0.61 0.60 0.59 27835287
weighted avg 0.61 0.59 0.59 27835287
Accuracy: 0.5939834211157945
10-20%
precision recall f1-score support
0 0.15 0.38 0.22 503365
1 0.88 0.68 0.77 3387274
accuracy 0.64 3890639
macro avg 0.52 0.53 0.49 3890639
weighted avg 0.79 0.64 0.70 3890639
Accuracy: 0.642648675448943
20-40%
precision recall f1-score support
0 0.08 0.34 0.13 147488
1 0.94 0.72 0.81 1970425
accuracy 0.69 2117913
macro avg 0.51 0.53 0.47 2117913
weighted avg 0.88 0.69 0.76 2117913
Accuracy: 0.6911435927726965
40-80%
precision recall f1-score support
0 0.05 0.33 0.08 41616
1 0.97 0.73 0.83 1064279
accuracy 0.72 1105895
macro avg 0.51 0.53 0.46 1105895
weighted avg 0.93 0.72 0.81 1105895
Accuracy: 0.7189886924165495
80-90%
precision recall f1-score support
0 0.03 0.34 0.06 3093
1 0.98 0.74 0.84 120943
accuracy 0.73 124036
macro avg 0.50 0.54 0.45 124036
weighted avg 0.95 0.73 0.82 124036
Accuracy: 0.72946563900803
90-100%
precision recall f1-score support
0 0.03 0.32 0.05 2328
1 0.98 0.74 0.84 97067
accuracy 0.73 99395
macro avg 0.50 0.53 0.45 99395
weighted avg 0.96 0.73 0.83 99395
Accuracy: 0.7317671915086272
0.2
Treshold: 0.6
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.10 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: 0.5476199029658357
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992059393196583
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 0.40 0.50 0.40 24965875
weighted avg 0.50 0.68 0.55 24965875
Accuracy: 0.6788819538670285
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.14 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.21 0.50 0.21 7518650
weighted avg 0.18 0.27 0.12 7518650
Accuracy: 0.2736398156583961
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.06 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.11 0.50 0.13 4805513
weighted avg 0.08 0.16 0.04 4805513
Accuracy: 0.15500780041589732
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.04 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.06 0.50 0.08 2719684
weighted avg 0.04 0.09 0.01 2719684
Accuracy: 0.08672331050224953
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05888713774262801
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.12 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.09 0.50 0.05 253829
weighted avg 0.12 0.05 0.01 253829
Accuracy: 0.05363453348514157
0.4
Treshold: 0.6
All
precision recall f1-score support
0 0.65 0.93 0.77 22531902
1 0.79 0.34 0.47 16938696
accuracy 0.68 39470598
macro avg 0.72 0.64 0.62 39470598
weighted avg 0.71 0.68 0.64 39470598
Accuracy: 0.6772306819369699
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 0.97 0.95 11439888
1 0.56 0.29 0.39 1271288
accuracy 0.91 12711176
macro avg 0.74 0.63 0.67 12711176
weighted avg 0.89 0.91 0.89 12711176
Accuracy: 0.9062348755142718
10-20%
precision recall f1-score support
0 0.64 0.90 0.75 5044441
1 0.71 0.33 0.45 3812372
accuracy 0.65 8856813
macro avg 0.67 0.61 0.60 8856813
weighted avg 0.67 0.65 0.62 8856813
Accuracy: 0.6536064383430021
20-40%
precision recall f1-score support
0 0.41 0.85 0.55 2995598
1 0.81 0.35 0.49 5583215
accuracy 0.52 8578813
macro avg 0.61 0.60 0.52 8578813
weighted avg 0.67 0.52 0.51 8578813
Accuracy: 0.5220212866278819
40-80%
precision recall f1-score support
0 0.24 0.82 0.38 1295061
1 0.88 0.35 0.50 5001564
accuracy 0.44 6296625
macro avg 0.56 0.58 0.44 6296625
weighted avg 0.75 0.44 0.47 6296625
Accuracy: 0.44347376570781966
80-90%
precision recall f1-score support
0 0.17 0.81 0.28 117971
1 0.91 0.34 0.50 692761
accuracy 0.41 810732
macro avg 0.54 0.57 0.39 810732
weighted avg 0.80 0.41 0.47 810732
Accuracy: 0.4100220541436628
90-100%
precision recall f1-score support
0 0.16 0.81 0.27 88944
1 0.92 0.34 0.50 577496
accuracy 0.40 666440
macro avg 0.54 0.57 0.38 666440
weighted avg 0.82 0.40 0.47 666440
Accuracy: 0.404223936138287
LR_7_decay_vtime
0.01
Treshold: 0.6
All
precision recall f1-score support
0 0.66 0.76 0.71 28055468
1 0.61 0.49 0.55 21729815
accuracy 0.64 49785283
macro avg 0.64 0.63 0.63 49785283
weighted avg 0.64 0.64 0.64 49785283
Accuracy: 0.6430582306823485
0-1%
precision recall f1-score support
0 0.71 0.76 0.73 27764588
1 0.56 0.49 0.52 17098553
accuracy 0.66 44863141
macro avg 0.63 0.62 0.63 44863141
weighted avg 0.65 0.66 0.65 44863141
Accuracy: 0.6566422756712464
1-10%
precision recall f1-score support
0 0.07 0.49 0.12 287564
1 0.94 0.52 0.67 4164787
accuracy 0.52 4452351
macro avg 0.50 0.51 0.39 4452351
weighted avg 0.88 0.52 0.63 4452351
Accuracy: 0.5189997374420839
10-20%
precision recall f1-score support
0 0.01 0.48 0.02 2455
1 0.99 0.52 0.68 257616
accuracy 0.52 260071
macro avg 0.50 0.50 0.35 260071
weighted avg 0.98 0.52 0.68 260071
Accuracy: 0.5207539479603647
20-40%
precision recall f1-score support
0 0.01 0.51 0.01 659
1 1.00 0.52 0.68 130568
accuracy 0.52 131227
macro avg 0.50 0.52 0.35 131227
weighted avg 0.99 0.52 0.68 131227
Accuracy: 0.5218819297857911
40-80%
precision recall f1-score support
0 0.00 0.46 0.00 169
1 1.00 0.52 0.69 65234
accuracy 0.52 65403
macro avg 0.50 0.49 0.35 65403
weighted avg 0.99 0.52 0.69 65403
Accuracy: 0.5238750516031375
80-90%
precision recall f1-score support
0 0.00 0.27 0.00 15
1 1.00 0.52 0.68 7371
accuracy 0.52 7386
macro avg 0.50 0.39 0.34 7386
weighted avg 1.00 0.52 0.68 7386
Accuracy: 0.5199025182778229
90-100%
precision recall f1-score support
0 0.00 0.44 0.01 18
1 1.00 0.53 0.69 5686
accuracy 0.53 5704
macro avg 0.50 0.49 0.35 5704
weighted avg 0.99 0.53 0.69 5704
Accuracy: 0.527875175315568
0.1
Treshold: 0.6
All
precision recall f1-score support
0 0.67 0.75 0.71 26119367
1 0.65 0.56 0.60 21615229
accuracy 0.67 47734596
macro avg 0.66 0.66 0.66 47734596
weighted avg 0.66 0.67 0.66 47734596
Accuracy: 0.6659124966722249
0-1%
precision recall f1-score support
0 0.98 0.91 0.94 12053010
1 0.19 0.49 0.28 508421
accuracy 0.90 12561431
macro avg 0.59 0.70 0.61 12561431
weighted avg 0.95 0.90 0.92 12561431
Accuracy: 0.8967799926616641
1-10%
precision recall f1-score support
0 0.57 0.63 0.59 13368467
1 0.62 0.56 0.58 14466820
accuracy 0.59 27835287
macro avg 0.59 0.59 0.59 27835287
weighted avg 0.59 0.59 0.59 27835287
Accuracy: 0.589570138076895
10-20%
precision recall f1-score support
0 0.14 0.49 0.22 503365
1 0.88 0.57 0.69 3387274
accuracy 0.56 3890639
macro avg 0.51 0.53 0.46 3890639
weighted avg 0.79 0.56 0.63 3890639
Accuracy: 0.5598941459230733
20-40%
precision recall f1-score support
0 0.08 0.49 0.13 147488
1 0.94 0.57 0.71 1970425
accuracy 0.56 2117913
macro avg 0.51 0.53 0.42 2117913
weighted avg 0.88 0.56 0.67 2117913
Accuracy: 0.5607761036454283
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 0.69 1105895
Accuracy: 0.5608769367797124
80-90%
precision recall f1-score support
0 0.03 0.50 0.05 3093
1 0.98 0.56 0.71 120943
accuracy 0.56 124036
macro avg 0.50 0.53 0.38 124036
weighted avg 0.95 0.56 0.70 124036
Accuracy: 0.5600954561578897
90-100%
precision recall f1-score support
0 0.03 0.48 0.05 2328
1 0.98 0.56 0.71 97067
accuracy 0.56 99395
macro avg 0.50 0.52 0.38 99395
weighted avg 0.96 0.56 0.70 99395
Accuracy: 0.5594446400724382
0.2
Treshold: 0.6
All
precision recall f1-score support
0 0.69 0.76 0.73 24893266
1 0.67 0.60 0.63 20563095
accuracy 0.69 45456361
macro avg 0.68 0.68 0.68 45456361
weighted avg 0.68 0.69 0.68 45456361
Accuracy: 0.6853694909717916
0-1%
precision recall f1-score support
0 1.00 0.99 0.99 4873589
1 0.04 0.53 0.07 3872
accuracy 0.99 4877461
macro avg 0.52 0.76 0.53 4877461
weighted avg 1.00 0.99 0.99 4877461
Accuracy: 0.9888593676095001
1-10%
precision recall f1-score support
0 0.79 0.73 0.76 16949103
1 0.51 0.59 0.55 8016772
accuracy 0.69 24965875
macro avg 0.65 0.66 0.65 24965875
weighted avg 0.70 0.69 0.69 24965875
Accuracy: 0.6865130503136782
10-20%
precision recall f1-score support
0 0.34 0.54 0.42 2057494
1 0.78 0.61 0.68 5461156
accuracy 0.59 7518650
macro avg 0.56 0.57 0.55 7518650
weighted avg 0.66 0.59 0.61 7518650
Accuracy: 0.5877176088792536
20-40%
precision recall f1-score support
0 0.19 0.51 0.28 744974
1 0.87 0.60 0.71 4060539
accuracy 0.59 4805513
macro avg 0.53 0.56 0.50 4805513
weighted avg 0.77 0.59 0.65 4805513
Accuracy: 0.5898589807165229
40-80%
precision recall f1-score support
0 0.11 0.51 0.18 235909
1 0.93 0.60 0.73 2483775
accuracy 0.59 2719684
macro avg 0.52 0.55 0.45 2719684
weighted avg 0.86 0.59 0.68 2719684
Accuracy: 0.5896339427668803
80-90%
precision recall f1-score support
0 0.07 0.51 0.13 18577
1 0.95 0.59 0.73 296772
accuracy 0.59 315349
macro avg 0.51 0.55 0.43 315349
weighted avg 0.90 0.59 0.69 315349
Accuracy: 0.5880690917047462
90-100%
precision recall f1-score support
0 0.07 0.51 0.12 13620
1 0.96 0.59 0.73 240209
accuracy 0.59 253829
macro avg 0.51 0.55 0.42 253829
weighted avg 0.91 0.59 0.70 253829
Accuracy: 0.5885773493178479
0.4
Treshold: 0.6
All
precision recall f1-score support
0 0.75 0.77 0.76 22531902
1 0.68 0.65 0.67 16938696
accuracy 0.72 39470598
macro avg 0.71 0.71 0.71 39470598
weighted avg 0.72 0.72 0.72 39470598
Accuracy: 0.7204605311528344
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999799999870967
1-10%
precision recall f1-score support
0 0.95 0.86 0.90 11439888
1 0.33 0.61 0.43 1271288
accuracy 0.84 12711176
macro avg 0.64 0.73 0.67 12711176
weighted avg 0.89 0.84 0.86 12711176
Accuracy: 0.8359139233065453
10-20%
precision recall f1-score support
0 0.71 0.67 0.69 5044441
1 0.59 0.64 0.62 3812372
accuracy 0.66 8856813
macro avg 0.65 0.65 0.65 8856813
weighted avg 0.66 0.66 0.66 8856813
Accuracy: 0.6561279999927739
20-40%
precision recall f1-score support
0 0.49 0.61 0.54 2995598
1 0.76 0.66 0.70 5583215
accuracy 0.64 8578813
macro avg 0.62 0.63 0.62 8578813
weighted avg 0.66 0.64 0.65 8578813
Accuracy: 0.6399417961435924
40-80%
precision recall f1-score support
0 0.30 0.59 0.40 1295061
1 0.86 0.65 0.74 5001564
accuracy 0.64 6296625
macro avg 0.58 0.62 0.57 6296625
weighted avg 0.74 0.64 0.67 6296625
Accuracy: 0.6384820439521172
80-90%
precision recall f1-score support
0 0.22 0.58 0.32 117971
1 0.90 0.65 0.75 692761
accuracy 0.64 810732
macro avg 0.56 0.61 0.53 810732
weighted avg 0.80 0.64 0.69 810732
Accuracy: 0.636448296107715
90-100%
precision recall f1-score support
0 0.20 0.58 0.30 88944
1 0.91 0.65 0.75 577496
accuracy 0.64 666440
macro avg 0.55 0.61 0.53 666440
weighted avg 0.81 0.64 0.69 666440
Accuracy: 0.6364804033371346
LR_7_decay_vtime_w_0_5
0.01
Treshold: 0.6
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.19 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.38 0.50 0.36 49785283
weighted avg 0.40 0.56 0.41 49785283
Accuracy: 0.5635285632503083
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 0.39 0.50 0.38 44863141
weighted avg 0.44 0.62 0.47 44863141
Accuracy: 0.618872115976008
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: 0.6
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789056306248
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595251528269351
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.48027042077920734
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
0.2
Treshold: 0.6
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: 0.6
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.85 0.01 0.02 16938696
accuracy 0.57 39470598
macro avg 0.71 0.50 0.37 39470598
weighted avg 0.69 0.57 0.42 39470598
Accuracy: 0.5743142528522117
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 0.78 0.01 0.01 1271288
accuracy 0.90 12711176
macro avg 0.84 0.50 0.48 12711176
weighted avg 0.89 0.90 0.85 12711176
Accuracy: 0.9005191179793278
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.80 0.01 0.02 3812372
accuracy 0.57 8856813
macro avg 0.69 0.50 0.37 8856813
weighted avg 0.67 0.57 0.42 8856813
Accuracy: 0.5725381127500377
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.84 0.01 0.02 5583215
accuracy 0.35 8578813
macro avg 0.60 0.50 0.27 8578813
weighted avg 0.67 0.35 0.19 8578813
Accuracy: 0.3545426389408418
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.89 0.01 0.02 5001564
accuracy 0.21 6296625
macro avg 0.55 0.50 0.18 6296625
weighted avg 0.75 0.21 0.09 6296625
Accuracy: 0.21292073134417247
80-90%
precision recall f1-score support
0 0.15 0.99 0.25 117971
1 0.92 0.01 0.02 692761
accuracy 0.15 810732
macro avg 0.53 0.50 0.14 810732
weighted avg 0.81 0.15 0.05 810732
Accuracy: 0.15357602758988173
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.93 0.01 0.02 577496
accuracy 0.14 666440
macro avg 0.53 0.50 0.13 666440
weighted avg 0.82 0.14 0.05 666440
Accuracy: 0.14144108997059
LR_7_decay_vtime_w_0_75
0.01
Treshold: 0.6
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.17 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.37 0.50 0.36 49785283
weighted avg 0.39 0.56 0.41 49785283
Accuracy: 0.5635248272064658
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.13 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.38 0.50 0.38 44863141
weighted avg 0.43 0.62 0.47 44863141
Accuracy: 0.6188678362934954
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.69 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.38 0.50 0.06 4452351
weighted avg 0.65 0.06 0.01 4452351
Accuracy: 0.06458834894194102
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 1.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.50 0.50 0.01 260071
weighted avg 0.99 0.01 0.00 260071
Accuracy: 0.009451265231417575
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 1.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.50 0.50 0.01 131227
weighted avg 1.00 0.01 0.00 131227
Accuracy: 0.005029452780296738
40-80%
precision recall f1-score support
0 0.00 0.99 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.49 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002553399691145666
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: 0.6
All
precision recall f1-score support
0 0.57 0.95 0.72 26119367
1 0.73 0.14 0.24 21615229
accuracy 0.59 47734596
macro avg 0.65 0.55 0.48 47734596
weighted avg 0.64 0.59 0.50 47734596
Accuracy: 0.5880570561443528
0-1%
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.42 0.12 0.19 508421
accuracy 0.96 12561431
macro avg 0.69 0.56 0.58 12561431
weighted avg 0.94 0.96 0.95 12561431
Accuracy: 0.9576468636415708
1-10%
precision recall f1-score support
0 0.50 0.93 0.65 13368467
1 0.67 0.14 0.23 14466820
accuracy 0.52 27835287
macro avg 0.58 0.53 0.44 27835287
weighted avg 0.59 0.52 0.43 27835287
Accuracy: 0.517617260421996
10-20%
precision recall f1-score support
0 0.13 0.86 0.23 503365
1 0.88 0.15 0.26 3387274
accuracy 0.25 3890639
macro avg 0.51 0.51 0.25 3890639
weighted avg 0.79 0.25 0.26 3890639
Accuracy: 0.24608939559799817
20-40%
precision recall f1-score support
0 0.07 0.86 0.13 147488
1 0.94 0.16 0.27 1970425
accuracy 0.21 2117913
macro avg 0.50 0.51 0.20 2117913
weighted avg 0.88 0.21 0.26 2117913
Accuracy: 0.20524639114071258
40-80%
precision recall f1-score support
0 0.04 0.86 0.07 41616
1 0.97 0.16 0.27 1064279
accuracy 0.18 1105895
macro avg 0.50 0.51 0.17 1105895
weighted avg 0.93 0.18 0.26 1105895
Accuracy: 0.1828907807703263
80-90%
precision recall f1-score support
0 0.03 0.87 0.05 3093
1 0.98 0.16 0.27 120943
accuracy 0.18 124036
macro avg 0.50 0.51 0.16 124036
weighted avg 0.95 0.18 0.27 124036
Accuracy: 0.1754490631752072
90-100%
precision recall f1-score support
0 0.02 0.86 0.05 2328
1 0.98 0.16 0.27 97067
accuracy 0.17 99395
macro avg 0.50 0.51 0.16 99395
weighted avg 0.96 0.17 0.26 99395
Accuracy: 0.1717088384727602
0.2
Treshold: 0.6
All
precision recall f1-score support
0 0.60 0.93 0.73 24893266
1 0.74 0.25 0.37 20563095
accuracy 0.62 45456361
macro avg 0.67 0.59 0.55 45456361
weighted avg 0.67 0.62 0.57 45456361
Accuracy: 0.6216106256283912
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.24 0.20 0.22 3872
accuracy 1.00 4877461
macro avg 0.62 0.60 0.61 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9988446857904143
1-10%
precision recall f1-score support
0 0.72 0.93 0.81 16949103
1 0.62 0.24 0.34 8016772
accuracy 0.71 24965875
macro avg 0.67 0.58 0.58 24965875
weighted avg 0.69 0.71 0.66 24965875
Accuracy: 0.7080150805849985
10-20%
precision recall f1-score support
0 0.29 0.82 0.43 2057494
1 0.79 0.25 0.38 5461156
accuracy 0.41 7518650
macro avg 0.54 0.54 0.41 7518650
weighted avg 0.65 0.41 0.40 7518650
Accuracy: 0.4092493998257666
20-40%
precision recall f1-score support
0 0.16 0.80 0.27 744974
1 0.87 0.26 0.40 4060539
accuracy 0.34 4805513
macro avg 0.52 0.53 0.34 4805513
weighted avg 0.76 0.34 0.38 4805513
Accuracy: 0.34143389061688106
40-80%
precision recall f1-score support
0 0.09 0.79 0.17 235909
1 0.93 0.26 0.40 2483775
accuracy 0.30 2719684
macro avg 0.51 0.53 0.28 2719684
weighted avg 0.86 0.30 0.38 2719684
Accuracy: 0.3041665870005486
80-90%
precision recall f1-score support
0 0.06 0.80 0.12 18577
1 0.95 0.26 0.40 296772
accuracy 0.29 315349
macro avg 0.51 0.53 0.26 315349
weighted avg 0.90 0.29 0.39 315349
Accuracy: 0.28787470389948916
90-100%
precision recall f1-score support
0 0.06 0.80 0.11 13620
1 0.96 0.26 0.40 240209
accuracy 0.28 253829
macro avg 0.51 0.53 0.26 253829
weighted avg 0.91 0.28 0.39 253829
Accuracy: 0.2849516800680773
0.4
Treshold: 0.6
All
precision recall f1-score support
0 0.65 0.93 0.77 22531902
1 0.79 0.34 0.47 16938696
accuracy 0.68 39470598
macro avg 0.72 0.64 0.62 39470598
weighted avg 0.71 0.68 0.64 39470598
Accuracy: 0.6773988324169804
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 0.97 0.95 11439888
1 0.56 0.29 0.39 1271288
accuracy 0.91 12711176
macro avg 0.74 0.63 0.67 12711176
weighted avg 0.89 0.91 0.89 12711176
Accuracy: 0.9062214227857438
10-20%
precision recall f1-score support
0 0.64 0.90 0.75 5044441
1 0.71 0.33 0.45 3812372
accuracy 0.65 8856813
macro avg 0.67 0.61 0.60 8856813
weighted avg 0.67 0.65 0.62 8856813
Accuracy: 0.6537480242610971
20-40%
precision recall f1-score support
0 0.41 0.85 0.55 2995598
1 0.81 0.35 0.49 5583215
accuracy 0.52 8578813
macro avg 0.61 0.60 0.52 8578813
weighted avg 0.67 0.52 0.51 8578813
Accuracy: 0.5223078064529441
40-80%
precision recall f1-score support
0 0.24 0.82 0.38 1295061
1 0.88 0.35 0.50 5001564
accuracy 0.44 6296625
macro avg 0.56 0.58 0.44 6296625
weighted avg 0.75 0.44 0.47 6296625
Accuracy: 0.4438660393464753
80-90%
precision recall f1-score support
0 0.17 0.81 0.28 117971
1 0.91 0.34 0.50 692761
accuracy 0.41 810732
macro avg 0.54 0.57 0.39 810732
weighted avg 0.80 0.41 0.47 810732
Accuracy: 0.4104500624127332
90-100%
precision recall f1-score support
0 0.16 0.81 0.27 88944
1 0.92 0.34 0.50 577496
accuracy 0.40 666440
macro avg 0.54 0.57 0.38 666440
weighted avg 0.82 0.40 0.47 666440
Accuracy: 0.40464257847668206
LR_7_w_0_5
0.01
Treshold: 0.6
All
precision recall f1-score support
0 0.61 0.98 0.75 28055468
1 0.88 0.19 0.32 21729815
accuracy 0.64 49785283
macro avg 0.74 0.59 0.54 49785283
weighted avg 0.73 0.64 0.56 49785283
Accuracy: 0.6364741162564045
0-1%
precision recall f1-score support
0 0.63 0.98 0.77 27764588
1 0.76 0.08 0.14 17098553
accuracy 0.64 44863141
macro avg 0.70 0.53 0.46 44863141
weighted avg 0.68 0.64 0.53 44863141
Accuracy: 0.6395564010999587
1-10%
precision recall f1-score support
0 0.08 0.47 0.13 287564
1 0.94 0.60 0.73 4164787
accuracy 0.59 4452351
macro avg 0.51 0.54 0.43 4452351
weighted avg 0.89 0.59 0.70 4452351
Accuracy: 0.5933269861248586
10-20%
precision recall f1-score support
0 0.01 0.19 0.02 2455
1 0.99 0.81 0.89 257616
accuracy 0.81 260071
macro avg 0.50 0.50 0.46 260071
weighted avg 0.98 0.81 0.88 260071
Accuracy: 0.8064028669094209
20-40%
precision recall f1-score support
0 0.01 0.29 0.01 659
1 1.00 0.73 0.85 130568
accuracy 0.73 131227
macro avg 0.50 0.51 0.43 131227
weighted avg 0.99 0.73 0.84 131227
Accuracy: 0.732509315918218
40-80%
precision recall f1-score support
0 0.00 0.41 0.01 169
1 1.00 0.61 0.76 65234
accuracy 0.61 65403
macro avg 0.50 0.51 0.38 65403
weighted avg 0.99 0.61 0.76 65403
Accuracy: 0.612907664786019
80-90%
precision recall f1-score support
0 0.00 0.33 0.00 15
1 1.00 0.53 0.69 7371
accuracy 0.53 7386
macro avg 0.50 0.43 0.35 7386
weighted avg 1.00 0.53 0.69 7386
Accuracy: 0.5258597346330897
90-100%
precision recall f1-score support
0 0.00 0.50 0.01 18
1 1.00 0.53 0.69 5686
accuracy 0.53 5704
macro avg 0.50 0.51 0.35 5704
weighted avg 0.99 0.53 0.69 5704
Accuracy: 0.5291023842917251
0.1
Treshold: 0.6
All
precision recall f1-score support
0 0.61 0.95 0.74 26119367
1 0.83 0.26 0.39 21615229
accuracy 0.64 47734596
macro avg 0.72 0.61 0.57 47734596
weighted avg 0.71 0.64 0.58 47734596
Accuracy: 0.6390852454266084
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.22 0.02 0.04 508421
accuracy 0.96 12561431
macro avg 0.59 0.51 0.51 12561431
weighted avg 0.93 0.96 0.94 12561431
Accuracy: 0.9574953681630699
1-10%
precision recall f1-score support
0 0.50 0.94 0.65 13368467
1 0.71 0.14 0.24 14466820
accuracy 0.52 27835287
macro avg 0.61 0.54 0.45 27835287
weighted avg 0.61 0.52 0.44 27835287
Accuracy: 0.524072124709905
10-20%
precision recall f1-score support
0 0.14 0.60 0.23 503365
1 0.89 0.46 0.61 3387274
accuracy 0.48 3890639
macro avg 0.51 0.53 0.42 3890639
weighted avg 0.79 0.48 0.56 3890639
Accuracy: 0.4789030799310859
20-40%
precision recall f1-score support
0 0.08 0.47 0.13 147488
1 0.94 0.58 0.72 1970425
accuracy 0.58 2117913
macro avg 0.51 0.53 0.43 2117913
weighted avg 0.88 0.58 0.68 2117913
Accuracy: 0.5766459717656013
40-80%
precision recall f1-score support
0 0.04 0.44 0.08 41616
1 0.97 0.61 0.75 1064279
accuracy 0.61 1105895
macro avg 0.50 0.53 0.41 1105895
weighted avg 0.93 0.61 0.73 1105895
Accuracy: 0.6071516735313931
80-90%
precision recall f1-score support
0 0.03 0.45 0.05 3093
1 0.98 0.61 0.75 120943
accuracy 0.61 124036
macro avg 0.50 0.53 0.40 124036
weighted avg 0.95 0.61 0.73 124036
Accuracy: 0.6069689444999838
90-100%
precision recall f1-score support
0 0.03 0.44 0.05 2328
1 0.98 0.61 0.75 97067
accuracy 0.60 99395
macro avg 0.50 0.52 0.40 99395
weighted avg 0.96 0.60 0.73 99395
Accuracy: 0.6037426429900901
0.2
Treshold: 0.6
All
precision recall f1-score support
0 0.61 0.95 0.74 24893266
1 0.82 0.27 0.41 20563095
accuracy 0.64 45456361
macro avg 0.71 0.61 0.58 45456361
weighted avg 0.70 0.64 0.59 45456361
Accuracy: 0.6433317660426007
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.05 0.01 0.02 3872
accuracy 1.00 4877461
macro avg 0.52 0.50 0.51 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9990613969030199
1-10%
precision recall f1-score support
0 0.69 0.97 0.81 16949103
1 0.60 0.10 0.17 8016772
accuracy 0.69 24965875
macro avg 0.65 0.53 0.49 24965875
weighted avg 0.66 0.69 0.60 24965875
Accuracy: 0.6898538905606152
10-20%
precision recall f1-score support
0 0.29 0.82 0.43 2057494
1 0.79 0.25 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: 0.40979590750999184
20-40%
precision recall f1-score support
0 0.18 0.66 0.28 744974
1 0.88 0.44 0.58 4060539
accuracy 0.47 4805513
macro avg 0.53 0.55 0.43 4805513
weighted avg 0.77 0.47 0.54 4805513
Accuracy: 0.47243322409074745
40-80%
precision recall f1-score support
0 0.10 0.57 0.18 235909
1 0.93 0.54 0.68 2483775
accuracy 0.54 2719684
macro avg 0.52 0.55 0.43 2719684
weighted avg 0.86 0.54 0.64 2719684
Accuracy: 0.5416662376952617
80-90%
precision recall f1-score support
0 0.07 0.54 0.13 18577
1 0.95 0.57 0.71 296772
accuracy 0.57 315349
macro avg 0.51 0.55 0.42 315349
weighted avg 0.90 0.57 0.68 315349
Accuracy: 0.5660331886259351
90-100%
precision recall f1-score support
0 0.07 0.53 0.12 13620
1 0.96 0.57 0.72 240209
accuracy 0.57 253829
macro avg 0.51 0.55 0.42 253829
weighted avg 0.91 0.57 0.68 253829
Accuracy: 0.5703721796957795
0.4
Treshold: 0.6
All
precision recall f1-score support
0 0.63 0.96 0.76 22531902
1 0.82 0.26 0.39 16938696
accuracy 0.66 39470598
macro avg 0.72 0.61 0.58 39470598
weighted avg 0.71 0.66 0.60 39470598
Accuracy: 0.6569262517887365
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 0.46 0.06 0.11 1271288
accuracy 0.90 12711176
macro avg 0.68 0.53 0.53 12711176
weighted avg 0.86 0.90 0.86 12711176
Accuracy: 0.8990318441031735
10-20%
precision recall f1-score support
0 0.59 0.95 0.73 5044441
1 0.68 0.14 0.24 3812372
accuracy 0.60 8856813
macro avg 0.64 0.55 0.48 8856813
weighted avg 0.63 0.60 0.52 8856813
Accuracy: 0.6020663414706847
20-40%
precision recall f1-score support
0 0.39 0.89 0.54 2995598
1 0.81 0.26 0.39 5583215
accuracy 0.48 8578813
macro avg 0.60 0.57 0.47 8578813
weighted avg 0.66 0.48 0.45 8578813
Accuracy: 0.47924951855227527
40-80%
precision recall f1-score support
0 0.25 0.82 0.38 1295061
1 0.88 0.36 0.51 5001564
accuracy 0.45 6296625
macro avg 0.57 0.59 0.44 6296625
weighted avg 0.75 0.45 0.48 6296625
Accuracy: 0.4521333253925714
80-90%
precision recall f1-score support
0 0.18 0.79 0.29 117971
1 0.91 0.39 0.55 692761
accuracy 0.45 810732
macro avg 0.55 0.59 0.42 810732
weighted avg 0.81 0.45 0.51 810732
Accuracy: 0.4465680397467967
90-100%
precision recall f1-score support
0 0.17 0.78 0.27 88944
1 0.92 0.40 0.56 577496
accuracy 0.45 666440
macro avg 0.54 0.59 0.41 666440
weighted avg 0.82 0.45 0.52 666440
Accuracy: 0.4483209291158994
LR_7_w_0_75
0.01
Treshold: 0.6
All
precision recall f1-score support
0 0.68 0.90 0.77 28055468
1 0.78 0.44 0.56 21729815
accuracy 0.70 49785283
macro avg 0.73 0.67 0.67 49785283
weighted avg 0.72 0.70 0.68 49785283
Accuracy: 0.7010289566898715
0-1%
precision recall f1-score support
0 0.69 0.91 0.78 27764588
1 0.69 0.33 0.45 17098553
accuracy 0.69 44863141
macro avg 0.69 0.62 0.61 44863141
weighted avg 0.69 0.69 0.65 44863141
Accuracy: 0.6880236272355518
1-10%
precision recall f1-score support
0 0.08 0.19 0.11 287564
1 0.94 0.85 0.89 4164787
accuracy 0.81 4452351
macro avg 0.51 0.52 0.50 4452351
weighted avg 0.88 0.81 0.84 4452351
Accuracy: 0.8106463304442979
10-20%
precision recall f1-score support
0 0.01 0.07 0.02 2455
1 0.99 0.93 0.96 257616
accuracy 0.92 260071
macro avg 0.50 0.50 0.49 260071
weighted avg 0.98 0.92 0.95 260071
Accuracy: 0.9243629624218002
20-40%
precision recall f1-score support
0 0.01 0.12 0.01 659
1 1.00 0.90 0.95 130568
accuracy 0.90 131227
macro avg 0.50 0.51 0.48 131227
weighted avg 0.99 0.90 0.94 131227
Accuracy: 0.8987098691580239
40-80%
precision recall f1-score support
0 0.00 0.20 0.01 169
1 1.00 0.85 0.92 65234
accuracy 0.85 65403
macro avg 0.50 0.53 0.46 65403
weighted avg 1.00 0.85 0.92 65403
Accuracy: 0.8507255018882925
80-90%
precision recall f1-score support
0 0.00 0.20 0.00 15
1 1.00 0.82 0.90 7371
accuracy 0.82 7386
macro avg 0.50 0.51 0.45 7386
weighted avg 1.00 0.82 0.90 7386
Accuracy: 0.8216896831844029
90-100%
precision recall f1-score support
0 0.01 0.39 0.01 18
1 1.00 0.83 0.90 5686
accuracy 0.82 5704
macro avg 0.50 0.61 0.46 5704
weighted avg 0.99 0.82 0.90 5704
Accuracy: 0.823632538569425
0.1
Treshold: 0.6
All
precision recall f1-score support
0 0.69 0.87 0.77 26119367
1 0.77 0.53 0.62 21615229
accuracy 0.71 47734596
macro avg 0.73 0.70 0.70 47734596
weighted avg 0.72 0.71 0.70 47734596
Accuracy: 0.712363691105713
0-1%
precision recall f1-score support
0 0.96 0.98 0.97 12053010
1 0.15 0.07 0.10 508421
accuracy 0.95 12561431
macro avg 0.56 0.53 0.53 12561431
weighted avg 0.93 0.95 0.94 12561431
Accuracy: 0.946364948388444
1-10%
precision recall f1-score support
0 0.55 0.79 0.65 13368467
1 0.68 0.41 0.51 14466820
accuracy 0.59 27835287
macro avg 0.62 0.60 0.58 27835287
weighted avg 0.62 0.59 0.58 27835287
Accuracy: 0.5943696215526716
10-20%
precision recall f1-score support
0 0.17 0.29 0.21 503365
1 0.88 0.79 0.83 3387274
accuracy 0.72 3890639
macro avg 0.53 0.54 0.52 3890639
weighted avg 0.79 0.72 0.75 3890639
Accuracy: 0.7230765948729759
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: 0.7897099644791831
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: 0.816456354355522
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: 0.8211406365893773
90-100%
precision recall f1-score support
0 0.03 0.23 0.06 2328
1 0.98 0.84 0.90 97067
accuracy 0.82 99395
macro avg 0.51 0.53 0.48 99395
weighted avg 0.96 0.82 0.88 99395
Accuracy: 0.8221037275516877
0.2
Treshold: 0.6
All
precision recall f1-score support
0 0.69 0.87 0.77 24893266
1 0.77 0.53 0.63 20563095
accuracy 0.71 45456361
macro avg 0.73 0.70 0.70 45456361
weighted avg 0.72 0.71 0.70 45456361
Accuracy: 0.7141359819806077
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.02 0.03 0.02 3872
accuracy 1.00 4877461
macro avg 0.51 0.52 0.51 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9978650777525437
1-10%
precision recall f1-score support
0 0.72 0.90 0.80 16949103
1 0.56 0.28 0.37 8016772
accuracy 0.70 24965875
macro avg 0.64 0.59 0.59 24965875
weighted avg 0.67 0.70 0.66 24965875
Accuracy: 0.6974136896864219
10-20%
precision recall f1-score support
0 0.34 0.54 0.42 2057494
1 0.78 0.61 0.68 5461156
accuracy 0.59 7518650
macro avg 0.56 0.57 0.55 7518650
weighted avg 0.66 0.59 0.61 7518650
Accuracy: 0.5881461432571007
20-40%
precision recall f1-score support
0 0.22 0.39 0.28 744974
1 0.87 0.74 0.80 4060539
accuracy 0.69 4805513
macro avg 0.54 0.57 0.54 4805513
weighted avg 0.77 0.69 0.72 4805513
Accuracy: 0.6866779883854232
40-80%
precision recall f1-score support
0 0.13 0.34 0.19 235909
1 0.93 0.78 0.85 2483775
accuracy 0.74 2719684
macro avg 0.53 0.56 0.52 2719684
weighted avg 0.86 0.74 0.79 2719684
Accuracy: 0.7440886514756861
80-90%
precision recall f1-score support
0 0.09 0.32 0.14 18577
1 0.95 0.79 0.86 296772
accuracy 0.77 315349
macro avg 0.52 0.56 0.50 315349
weighted avg 0.90 0.77 0.82 315349
Accuracy: 0.7665887635603728
90-100%
precision recall f1-score support
0 0.08 0.32 0.13 13620
1 0.95 0.80 0.87 240209
accuracy 0.77 253829
macro avg 0.52 0.56 0.50 253829
weighted avg 0.91 0.77 0.83 253829
Accuracy: 0.7725594790193397
0.4
Treshold: 0.6
All
precision recall f1-score support
0 0.70 0.89 0.78 22531902
1 0.77 0.49 0.60 16938696
accuracy 0.72 39470598
macro avg 0.73 0.69 0.69 39470598
weighted avg 0.73 0.72 0.70 39470598
Accuracy: 0.7184106002143672
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 0.39 0.14 0.21 1271288
accuracy 0.89 12711176
macro avg 0.65 0.56 0.58 12711176
weighted avg 0.86 0.89 0.87 12711176
Accuracy: 0.8918240137655241
10-20%
precision recall f1-score support
0 0.63 0.85 0.72 5044441
1 0.63 0.32 0.42 3812372
accuracy 0.63 8856813
macro avg 0.63 0.59 0.57 8856813
weighted avg 0.63 0.63 0.59 8856813
Accuracy: 0.6253006583745191
20-40%
precision recall f1-score support
0 0.45 0.70 0.55 2995598
1 0.77 0.53 0.63 5583215
accuracy 0.59 8578813
macro avg 0.61 0.62 0.59 8578813
weighted avg 0.66 0.59 0.60 8578813
Accuracy: 0.5924746232375039
40-80%
precision recall f1-score support
0 0.29 0.60 0.39 1295061
1 0.86 0.63 0.72 5001564
accuracy 0.62 6296625
macro avg 0.57 0.61 0.56 6296625
weighted avg 0.74 0.62 0.66 6296625
Accuracy: 0.6200054791257221
80-90%
precision recall f1-score support
0 0.22 0.57 0.31 117971
1 0.90 0.65 0.75 692761
accuracy 0.64 810732
macro avg 0.56 0.61 0.53 810732
weighted avg 0.80 0.64 0.69 810732
Accuracy: 0.6367763946655615
90-100%
precision recall f1-score support
0 0.20 0.56 0.30 88944
1 0.91 0.66 0.76 577496
accuracy 0.64 666440
macro avg 0.55 0.61 0.53 666440
weighted avg 0.81 0.64 0.70 666440
Accuracy: 0.6435207970710042
LR_8
0.01
Treshold: 0.6
All
precision recall f1-score support
0 0.77 0.75 0.76 28055468
1 0.69 0.72 0.70 21729815
accuracy 0.74 49785283
macro avg 0.73 0.73 0.73 49785283
weighted avg 0.74 0.74 0.74 49785283
Accuracy: 0.7356635293205022
0-1%
precision recall f1-score support
0 0.78 0.76 0.77 27764588
1 0.62 0.65 0.64 17098553
accuracy 0.72 44863141
macro avg 0.70 0.70 0.70 44863141
weighted avg 0.72 0.72 0.72 44863141
Accuracy: 0.7159833726309979
1-10%
precision recall f1-score support
0 0.09 0.05 0.06 287564
1 0.94 0.97 0.95 4164787
accuracy 0.91 4452351
macro avg 0.51 0.51 0.51 4452351
weighted avg 0.88 0.91 0.89 4452351
Accuracy: 0.9088562424660589
10-20%
precision recall f1-score support
0 0.02 0.03 0.02 2455
1 0.99 0.99 0.99 257616
accuracy 0.98 260071
macro avg 0.50 0.51 0.51 260071
weighted avg 0.98 0.98 0.98 260071
Accuracy: 0.9763910624406412
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: 0.9748451157155159
40-80%
precision recall f1-score support
0 0.01 0.11 0.02 169
1 1.00 0.97 0.98 65234
accuracy 0.96 65403
macro avg 0.50 0.54 0.50 65403
weighted avg 1.00 0.96 0.98 65403
Accuracy: 0.9641759552314114
80-90%
precision recall f1-score support
0 0.01 0.13 0.01 15
1 1.00 0.96 0.98 7371
accuracy 0.96 7386
macro avg 0.50 0.55 0.50 7386
weighted avg 1.00 0.96 0.98 7386
Accuracy: 0.9568101814243163
90-100%
precision recall f1-score support
0 0.01 0.22 0.03 18
1 1.00 0.95 0.97 5686
accuracy 0.95 5704
macro avg 0.51 0.59 0.50 5704
weighted avg 0.99 0.95 0.97 5704
Accuracy: 0.9507363253856943
0.1
Treshold: 0.6
All
precision recall f1-score support
0 0.77 0.74 0.76 26119367
1 0.70 0.74 0.72 21615229
accuracy 0.74 47734596
macro avg 0.74 0.74 0.74 47734596
weighted avg 0.74 0.74 0.74 47734596
Accuracy: 0.7409371391767933
0-1%
precision recall f1-score support
0 0.96 0.95 0.96 12053010
1 0.11 0.15 0.13 508421
accuracy 0.92 12561431
macro avg 0.54 0.55 0.54 12561431
weighted avg 0.93 0.92 0.92 12561431
Accuracy: 0.9176135266754242
1-10%
precision recall f1-score support
0 0.62 0.59 0.61 13368467
1 0.64 0.67 0.65 14466820
accuracy 0.63 27835287
macro avg 0.63 0.63 0.63 27835287
weighted avg 0.63 0.63 0.63 27835287
Accuracy: 0.6313735511331354
10-20%
precision recall f1-score support
0 0.18 0.11 0.14 503365
1 0.88 0.92 0.90 3387274
accuracy 0.82 3890639
macro avg 0.53 0.52 0.52 3890639
weighted avg 0.79 0.82 0.80 3890639
Accuracy: 0.8199527121380318
20-40%
precision recall f1-score support
0 0.10 0.09 0.10 147488
1 0.93 0.94 0.94 1970425
accuracy 0.88 2117913
macro avg 0.52 0.52 0.52 2117913
weighted avg 0.87 0.88 0.88 2117913
Accuracy: 0.8805451404283368
40-80%
precision recall f1-score support
0 0.06 0.09 0.07 41616
1 0.96 0.94 0.95 1064279
accuracy 0.91 1105895
macro avg 0.51 0.52 0.51 1105895
weighted avg 0.93 0.91 0.92 1105895
Accuracy: 0.910039379868794
80-90%
precision recall f1-score support
0 0.04 0.10 0.06 3093
1 0.98 0.94 0.96 120943
accuracy 0.92 124036
macro avg 0.51 0.52 0.51 124036
weighted avg 0.95 0.92 0.94 124036
Accuracy: 0.9204343900158019
90-100%
precision recall f1-score support
0 0.04 0.10 0.06 2328
1 0.98 0.94 0.96 97067
accuracy 0.92 99395
macro avg 0.51 0.52 0.51 99395
weighted avg 0.96 0.92 0.94 99395
Accuracy: 0.922571557925449
0.2
Treshold: 0.6
All
precision recall f1-score support
0 0.78 0.75 0.76 24893266
1 0.71 0.74 0.72 20563095
accuracy 0.74 45456361
macro avg 0.74 0.74 0.74 45456361
weighted avg 0.74 0.74 0.74 45456361
Accuracy: 0.7428688363329392
0-1%
precision recall f1-score support
0 1.00 0.99 1.00 4873589
1 0.01 0.07 0.02 3872
accuracy 0.99 4877461
macro avg 0.50 0.53 0.51 4877461
weighted avg 1.00 0.99 1.00 4877461
Accuracy: 0.9929309532152076
1-10%
precision recall f1-score support
0 0.77 0.77 0.77 16949103
1 0.51 0.52 0.52 8016772
accuracy 0.69 24965875
macro avg 0.64 0.64 0.64 24965875
weighted avg 0.69 0.69 0.69 24965875
Accuracy: 0.6879734838053944
10-20%
precision recall f1-score support
0 0.40 0.26 0.32 2057494
1 0.75 0.85 0.80 5461156
accuracy 0.69 7518650
macro avg 0.57 0.56 0.56 7518650
weighted avg 0.66 0.69 0.67 7518650
Accuracy: 0.6884822408278082
20-40%
precision recall f1-score support
0 0.24 0.18 0.20 744974
1 0.86 0.90 0.88 4060539
accuracy 0.79 4805513
macro avg 0.55 0.54 0.54 4805513
weighted avg 0.76 0.79 0.77 4805513
Accuracy: 0.7853706773865766
40-80%
precision recall f1-score support
0 0.14 0.15 0.15 235909
1 0.92 0.91 0.92 2483775
accuracy 0.85 2719684
macro avg 0.53 0.53 0.53 2719684
weighted avg 0.85 0.85 0.85 2719684
Accuracy: 0.846118151961772
80-90%
precision recall f1-score support
0 0.10 0.15 0.12 18577
1 0.94 0.92 0.93 296772
accuracy 0.87 315349
macro avg 0.52 0.53 0.52 315349
weighted avg 0.90 0.87 0.88 315349
Accuracy: 0.8717547859672934
90-100%
precision recall f1-score support
0 0.09 0.14 0.11 13620
1 0.95 0.92 0.93 240209
accuracy 0.88 253829
macro avg 0.52 0.53 0.52 253829
weighted avg 0.90 0.88 0.89 253829
Accuracy: 0.8770668442140181
0.4
Treshold: 0.6
All
precision recall f1-score support
0 0.79 0.76 0.77 22531902
1 0.69 0.74 0.72 16938696
accuracy 0.75 39470598
macro avg 0.74 0.75 0.74 39470598
weighted avg 0.75 0.75 0.75 39470598
Accuracy: 0.7480763022642829
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999993548382935
1-10%
precision recall f1-score support
0 0.92 0.93 0.92 11439888
1 0.31 0.30 0.30 1271288
accuracy 0.86 12711176
macro avg 0.62 0.61 0.61 12711176
weighted avg 0.86 0.86 0.86 12711176
Accuracy: 0.863745494516007
10-20%
precision recall f1-score support
0 0.68 0.64 0.66 5044441
1 0.56 0.60 0.58 3812372
accuracy 0.63 8856813
macro avg 0.62 0.62 0.62 8856813
weighted avg 0.63 0.63 0.63 8856813
Accuracy: 0.6257444974845918
20-40%
precision recall f1-score support
0 0.52 0.40 0.45 2995598
1 0.71 0.80 0.76 5583215
accuracy 0.66 8578813
macro avg 0.62 0.60 0.60 8578813
weighted avg 0.65 0.66 0.65 8578813
Accuracy: 0.6613930155605443
40-80%
precision recall f1-score support
0 0.34 0.30 0.32 1295061
1 0.82 0.85 0.84 5001564
accuracy 0.74 6296625
macro avg 0.58 0.57 0.58 6296625
weighted avg 0.72 0.74 0.73 6296625
Accuracy: 0.7355327655688564
80-90%
precision recall f1-score support
0 0.25 0.28 0.27 117971
1 0.88 0.86 0.87 692761
accuracy 0.77 810732
macro avg 0.56 0.57 0.57 810732
weighted avg 0.78 0.77 0.78 810732
Accuracy: 0.7745383184578875
90-100%
precision recall f1-score support
0 0.24 0.27 0.25 88944
1 0.89 0.86 0.87 577496
accuracy 0.78 666440
macro avg 0.56 0.57 0.56 666440
weighted avg 0.80 0.78 0.79 666440
Accuracy: 0.7838875217573975
LR_8_decay_rtime
0.01
Treshold: 0.6
All
precision recall f1-score support
0 0.83 0.76 0.79 28055468
1 0.72 0.80 0.76 21729815
accuracy 0.78 49785283
macro avg 0.77 0.78 0.78 49785283
weighted avg 0.78 0.78 0.78 49785283
Accuracy: 0.776866930735334
0-1%
precision recall f1-score support
0 0.83 0.77 0.80 27764588
1 0.66 0.74 0.70 17098553
accuracy 0.76 44863141
macro avg 0.75 0.76 0.75 44863141
weighted avg 0.77 0.76 0.76 44863141
Accuracy: 0.7588701156702337
1-10%
precision recall f1-score support
0 0.09 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.51 0.50 0.48 4452351
weighted avg 0.88 0.94 0.90 4452351
Accuracy: 0.9354087312523204
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
0.1
Treshold: 0.6
All
precision recall f1-score support
0 0.80 0.72 0.76 26119367
1 0.70 0.78 0.74 21615229
accuracy 0.75 47734596
macro avg 0.75 0.75 0.75 47734596
weighted avg 0.75 0.75 0.75 47734596
Accuracy: 0.7474979153484403
0-1%
precision recall f1-score support
0 0.96 0.98 0.97 12053010
1 0.22 0.15 0.18 508421
accuracy 0.94 12561431
macro avg 0.59 0.56 0.57 12561431
weighted avg 0.93 0.94 0.94 12561431
Accuracy: 0.9442247463684671
1-10%
precision recall f1-score support
0 0.63 0.52 0.57 13368467
1 0.62 0.72 0.67 14466820
accuracy 0.63 27835287
macro avg 0.63 0.62 0.62 27835287
weighted avg 0.63 0.63 0.62 27835287
Accuracy: 0.6252443166833523
10-20%
precision recall f1-score support
0 0.16 0.07 0.10 503365
1 0.87 0.94 0.91 3387274
accuracy 0.83 3890639
macro avg 0.51 0.51 0.50 3890639
weighted avg 0.78 0.83 0.80 3890639
Accuracy: 0.8299675194743075
20-40%
precision recall f1-score support
0 0.09 0.03 0.05 147488
1 0.93 0.97 0.95 1970425
accuracy 0.91 2117913
macro avg 0.51 0.50 0.50 2117913
weighted avg 0.87 0.91 0.89 2117913
Accuracy: 0.9069258274537245
40-80%
precision recall f1-score support
0 0.05 0.02 0.03 41616
1 0.96 0.99 0.97 1064279
accuracy 0.95 1105895
macro avg 0.51 0.50 0.50 1105895
weighted avg 0.93 0.95 0.94 1105895
Accuracy: 0.9500513159025044
80-90%
precision recall f1-score support
0 0.03 0.01 0.02 3093
1 0.98 0.99 0.98 120943
accuracy 0.97 124036
macro avg 0.50 0.50 0.50 124036
weighted avg 0.95 0.97 0.96 124036
Accuracy: 0.966880583056532
90-100%
precision recall f1-score support
0 0.03 0.01 0.01 2328
1 0.98 0.99 0.98 97067
accuracy 0.97 99395
macro avg 0.50 0.50 0.50 99395
weighted avg 0.95 0.97 0.96 99395
Accuracy: 0.9694954474571156
0.2
Treshold: 0.6
All
precision recall f1-score support
0 0.77 0.65 0.70 24893266
1 0.64 0.76 0.70 20563095
accuracy 0.70 45456361
macro avg 0.70 0.70 0.70 45456361
weighted avg 0.71 0.70 0.70 45456361
Accuracy: 0.6992710877142145
0-1%
precision recall f1-score support
0 1.00 0.99 0.99 4873589
1 0.03 0.54 0.06 3872
accuracy 0.99 4877461
macro avg 0.51 0.76 0.53 4877461
weighted avg 1.00 0.99 0.99 4877461
Accuracy: 0.9858723626903424
1-10%
precision recall f1-score support
0 0.83 0.60 0.70 16949103
1 0.47 0.73 0.57 8016772
accuracy 0.65 24965875
macro avg 0.65 0.67 0.63 24965875
weighted avg 0.71 0.65 0.66 24965875
Accuracy: 0.6459158351149319
10-20%
precision recall f1-score support
0 0.38 0.37 0.37 2057494
1 0.77 0.78 0.77 5461156
accuracy 0.66 7518650
macro avg 0.57 0.57 0.57 7518650
weighted avg 0.66 0.66 0.66 7518650
Accuracy: 0.6641225485958251
20-40%
precision recall f1-score support
0 0.22 0.35 0.27 744974
1 0.87 0.78 0.82 4060539
accuracy 0.71 4805513
macro avg 0.55 0.56 0.55 4805513
weighted avg 0.77 0.71 0.74 4805513
Accuracy: 0.7119543740699484
40-80%
precision recall f1-score support
0 0.13 0.34 0.19 235909
1 0.93 0.78 0.84 2483775
accuracy 0.74 2719684
macro avg 0.53 0.56 0.52 2719684
weighted avg 0.86 0.74 0.79 2719684
Accuracy: 0.7391696976560512
80-90%
precision recall f1-score support
0 0.09 0.34 0.14 18577
1 0.95 0.77 0.85 296772
accuracy 0.75 315349
macro avg 0.52 0.56 0.50 315349
weighted avg 0.90 0.75 0.81 315349
Accuracy: 0.7485452625503807
90-100%
precision recall f1-score support
0 0.08 0.34 0.13 13620
1 0.95 0.78 0.86 240209
accuracy 0.75 253829
macro avg 0.52 0.56 0.49 253829
weighted avg 0.91 0.75 0.82 253829
Accuracy: 0.7522347722285475
0.4
Treshold: 0.6
All
precision recall f1-score support
0 0.75 0.77 0.76 22531902
1 0.68 0.65 0.67 16938696
accuracy 0.72 39470598
macro avg 0.71 0.71 0.71 39470598
weighted avg 0.72 0.72 0.72 39470598
Accuracy: 0.7205077308430949
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999799999870967
1-10%
precision recall f1-score support
0 0.95 0.86 0.90 11439888
1 0.33 0.61 0.43 1271288
accuracy 0.84 12711176
macro avg 0.64 0.74 0.66 12711176
weighted avg 0.89 0.84 0.86 12711176
Accuracy: 0.8353577198521993
10-20%
precision recall f1-score support
0 0.71 0.66 0.69 5044441
1 0.59 0.65 0.62 3812372
accuracy 0.66 8856813
macro avg 0.65 0.65 0.65 8856813
weighted avg 0.66 0.66 0.66 8856813
Accuracy: 0.6560384644002306
20-40%
precision recall f1-score support
0 0.49 0.61 0.54 2995598
1 0.76 0.66 0.70 5583215
accuracy 0.64 8578813
macro avg 0.62 0.63 0.62 8578813
weighted avg 0.66 0.64 0.65 8578813
Accuracy: 0.640384398167905
40-80%
precision recall f1-score support
0 0.30 0.58 0.40 1295061
1 0.86 0.65 0.74 5001564
accuracy 0.64 6296625
macro avg 0.58 0.62 0.57 6296625
weighted avg 0.74 0.64 0.67 6296625
Accuracy: 0.639221487701745
80-90%
precision recall f1-score support
0 0.22 0.58 0.32 117971
1 0.90 0.65 0.75 692761
accuracy 0.64 810732
macro avg 0.56 0.61 0.53 810732
weighted avg 0.80 0.64 0.69 810732
Accuracy: 0.637287044300706
90-100%
precision recall f1-score support
0 0.20 0.58 0.30 88944
1 0.91 0.65 0.76 577496
accuracy 0.64 666440
macro avg 0.55 0.61 0.53 666440
weighted avg 0.81 0.64 0.69 666440
Accuracy: 0.6373702058699958
LR_8_decay_rtime_w_0_5
0.01
Treshold: 0.6
All
precision recall f1-score support
0 0.68 0.94 0.79 28055468
1 0.85 0.43 0.57 21729815
accuracy 0.72 49785283
macro avg 0.77 0.68 0.68 49785283
weighted avg 0.76 0.72 0.69 49785283
Accuracy: 0.7171279713324116
0-1%
precision recall f1-score support
0 0.68 0.95 0.80 27764588
1 0.78 0.28 0.41 17098553
accuracy 0.70 44863141
macro avg 0.73 0.62 0.60 44863141
weighted avg 0.72 0.70 0.65 44863141
Accuracy: 0.6962463684832054
1-10%
precision recall f1-score support
0 0.09 0.07 0.08 287564
1 0.94 0.96 0.95 4164787
accuracy 0.90 4452351
macro avg 0.52 0.51 0.51 4452351
weighted avg 0.88 0.90 0.89 4452351
Accuracy: 0.8990344651623379
10-20%
precision recall f1-score support
0 0.03 0.02 0.03 2455
1 0.99 0.99 0.99 257616
accuracy 0.98 260071
macro avg 0.51 0.51 0.51 260071
weighted avg 0.98 0.98 0.98 260071
Accuracy: 0.9839543816880775
20-40%
precision recall f1-score support
0 0.04 0.05 0.04 659
1 1.00 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.52 0.52 0.52 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9902459097594245
40-80%
precision recall f1-score support
0 0.04 0.07 0.05 169
1 1.00 1.00 1.00 65234
accuracy 0.99 65403
macro avg 0.52 0.53 0.52 65403
weighted avg 1.00 0.99 0.99 65403
Accuracy: 0.9930125529409966
80-90%
precision recall f1-score support
0 0.03 0.07 0.05 15
1 1.00 1.00 1.00 7371
accuracy 0.99 7386
macro avg 0.52 0.53 0.52 7386
weighted avg 1.00 0.99 1.00 7386
Accuracy: 0.9943135662063363
90-100%
precision recall f1-score support
0 0.15 0.22 0.18 18
1 1.00 1.00 1.00 5686
accuracy 0.99 5704
macro avg 0.58 0.61 0.59 5704
weighted avg 0.99 0.99 0.99 5704
Accuracy: 0.9936886395511921
0.1
Treshold: 0.6
All
precision recall f1-score support
0 0.59 0.95 0.73 26119367
1 0.77 0.18 0.30 21615229
accuracy 0.61 47734596
macro avg 0.68 0.57 0.51 47734596
weighted avg 0.67 0.61 0.53 47734596
Accuracy: 0.6058102178135121
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.25 0.00 0.01 508421
accuracy 0.96 12561431
macro avg 0.60 0.50 0.49 12561431
weighted avg 0.93 0.96 0.94 12561431
Accuracy: 0.9591168394747381
1-10%
precision recall f1-score support
0 0.50 0.92 0.65 13368467
1 0.67 0.14 0.24 14466820
accuracy 0.52 27835287
macro avg 0.59 0.53 0.44 27835287
weighted avg 0.59 0.52 0.43 27835287
Accuracy: 0.5188298938681681
10-20%
precision recall f1-score support
0 0.13 0.75 0.23 503365
1 0.88 0.27 0.41 3387274
accuracy 0.33 3890639
macro avg 0.51 0.51 0.32 3890639
weighted avg 0.78 0.33 0.39 3890639
Accuracy: 0.33223976832597424
20-40%
precision recall f1-score support
0 0.07 0.73 0.13 147488
1 0.94 0.30 0.45 1970425
accuracy 0.33 2117913
macro avg 0.50 0.51 0.29 2117913
weighted avg 0.88 0.33 0.43 2117913
Accuracy: 0.3290800896920695
40-80%
precision recall f1-score support
0 0.04 0.72 0.07 41616
1 0.97 0.31 0.47 1064279
accuracy 0.33 1105895
macro avg 0.50 0.52 0.27 1105895
weighted avg 0.93 0.33 0.46 1105895
Accuracy: 0.3300340448234236
80-90%
precision recall f1-score support
0 0.03 0.72 0.05 3093
1 0.98 0.32 0.48 120943
accuracy 0.33 124036
macro avg 0.50 0.52 0.27 124036
weighted avg 0.95 0.33 0.47 124036
Accuracy: 0.3316537134380341
90-100%
precision recall f1-score support
0 0.02 0.71 0.05 2328
1 0.98 0.32 0.48 97067
accuracy 0.33 99395
macro avg 0.50 0.51 0.26 99395
weighted avg 0.96 0.33 0.47 99395
Accuracy: 0.3293827657326827
0.2
Treshold: 0.6
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: 0.6
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.85 0.01 0.02 16938696
accuracy 0.57 39470598
macro avg 0.71 0.50 0.37 39470598
weighted avg 0.69 0.57 0.42 39470598
Accuracy: 0.5742800501781098
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 0.78 0.01 0.01 1271288
accuracy 0.90 12711176
macro avg 0.84 0.50 0.48 12711176
weighted avg 0.89 0.90 0.85 12711176
Accuracy: 0.9005151844329746
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.80 0.01 0.02 3812372
accuracy 0.57 8856813
macro avg 0.69 0.50 0.37 8856813
weighted avg 0.67 0.57 0.42 8856813
Accuracy: 0.5725063857620117
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.84 0.01 0.02 5583215
accuracy 0.35 8578813
macro avg 0.60 0.50 0.27 8578813
weighted avg 0.67 0.35 0.19 8578813
Accuracy: 0.3544904172640201
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.89 0.01 0.02 5001564
accuracy 0.21 6296625
macro avg 0.55 0.50 0.18 6296625
weighted avg 0.75 0.21 0.09 6296625
Accuracy: 0.21284862922597422
80-90%
precision recall f1-score support
0 0.15 0.99 0.25 117971
1 0.92 0.01 0.02 692761
accuracy 0.15 810732
macro avg 0.53 0.50 0.14 810732
weighted avg 0.81 0.15 0.05 810732
Accuracy: 0.15348845241090767
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.93 0.01 0.02 577496
accuracy 0.14 666440
macro avg 0.53 0.50 0.13 666440
weighted avg 0.82 0.14 0.05 666440
Accuracy: 0.1413720665026109
LR_8_decay_rtime_w_0_75
0.01
Treshold: 0.6
All
precision recall f1-score support
0 0.75 0.87 0.81 28055468
1 0.79 0.63 0.70 21729815
accuracy 0.76 49785283
macro avg 0.77 0.75 0.75 49785283
weighted avg 0.77 0.76 0.76 49785283
Accuracy: 0.764475136156201
0-1%
precision recall f1-score support
0 0.75 0.88 0.81 27764588
1 0.73 0.53 0.61 17098553
accuracy 0.75 44863141
macro avg 0.74 0.70 0.71 44863141
weighted avg 0.74 0.75 0.73 44863141
Accuracy: 0.7452551527767527
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: 0.9340352995529777
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: 0.9905448896647454
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: 0.6
All
precision recall f1-score support
0 0.68 0.85 0.76 26119367
1 0.74 0.52 0.61 21615229
accuracy 0.70 47734596
macro avg 0.71 0.68 0.68 47734596
weighted avg 0.71 0.70 0.69 47734596
Accuracy: 0.6995994896447851
0-1%
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.25 0.05 0.08 508421
accuracy 0.96 12561431
macro avg 0.60 0.52 0.53 12561431
weighted avg 0.93 0.96 0.94 12561431
Accuracy: 0.9553086746247302
1-10%
precision recall f1-score support
0 0.56 0.74 0.64 13368467
1 0.66 0.46 0.54 14466820
accuracy 0.59 27835287
macro avg 0.61 0.60 0.59 27835287
weighted avg 0.61 0.59 0.59 27835287
Accuracy: 0.593221043490588
10-20%
precision recall f1-score support
0 0.15 0.38 0.21 503365
1 0.88 0.68 0.76 3387274
accuracy 0.64 3890639
macro avg 0.51 0.53 0.49 3890639
weighted avg 0.79 0.64 0.69 3890639
Accuracy: 0.6381291093828032
20-40%
precision recall f1-score support
0 0.08 0.34 0.13 147488
1 0.94 0.71 0.81 1970425
accuracy 0.69 2117913
macro avg 0.51 0.53 0.47 2117913
weighted avg 0.88 0.69 0.76 2117913
Accuracy: 0.6850007530998676
40-80%
precision recall f1-score support
0 0.04 0.32 0.08 41616
1 0.96 0.73 0.83 1064279
accuracy 0.71 1105895
macro avg 0.50 0.53 0.45 1105895
weighted avg 0.93 0.71 0.80 1105895
Accuracy: 0.7121290900130663
80-90%
precision recall f1-score support
0 0.03 0.32 0.05 3093
1 0.98 0.73 0.84 120943
accuracy 0.72 124036
macro avg 0.50 0.52 0.45 124036
weighted avg 0.95 0.72 0.82 124036
Accuracy: 0.7219516914444194
90-100%
precision recall f1-score support
0 0.03 0.30 0.05 2328
1 0.98 0.73 0.84 97067
accuracy 0.72 99395
macro avg 0.50 0.52 0.44 99395
weighted avg 0.96 0.72 0.82 99395
Accuracy: 0.7242517229236883
0.2
Treshold: 0.6
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: 0.6
All
precision recall f1-score support
0 0.65 0.93 0.77 22531902
1 0.79 0.34 0.47 16938696
accuracy 0.68 39470598
macro avg 0.72 0.64 0.62 39470598
weighted avg 0.71 0.68 0.64 39470598
Accuracy: 0.6771972899929208
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 0.97 0.95 11439888
1 0.56 0.29 0.39 1271288
accuracy 0.91 12711176
macro avg 0.74 0.63 0.67 12711176
weighted avg 0.89 0.91 0.89 12711176
Accuracy: 0.906237471654865
10-20%
precision recall f1-score support
0 0.64 0.90 0.75 5044441
1 0.71 0.33 0.45 3812372
accuracy 0.65 8856813
macro avg 0.67 0.61 0.60 8856813
weighted avg 0.67 0.65 0.62 8856813
Accuracy: 0.6535834052271399
20-40%
precision recall f1-score support
0 0.41 0.85 0.55 2995598
1 0.81 0.35 0.49 5583215
accuracy 0.52 8578813
macro avg 0.61 0.60 0.52 8578813
weighted avg 0.67 0.52 0.51 8578813
Accuracy: 0.5219611384465427
40-80%
precision recall f1-score support
0 0.24 0.82 0.38 1295061
1 0.88 0.35 0.50 5001564
accuracy 0.44 6296625
macro avg 0.56 0.58 0.44 6296625
weighted avg 0.75 0.44 0.47 6296625
Accuracy: 0.4433934051972287
80-90%
precision recall f1-score support
0 0.17 0.81 0.28 117971
1 0.91 0.34 0.50 692761
accuracy 0.41 810732
macro avg 0.54 0.57 0.39 810732
weighted avg 0.80 0.41 0.47 810732
Accuracy: 0.4099431131372636
90-100%
precision recall f1-score support
0 0.16 0.81 0.27 88944
1 0.92 0.34 0.50 577496
accuracy 0.40 666440
macro avg 0.54 0.57 0.38 666440
weighted avg 0.82 0.40 0.47 666440
Accuracy: 0.40413240501770603
LR_8_decay_vtime
0.01
Treshold: 0.6
All
precision recall f1-score support
0 0.66 0.76 0.71 28055468
1 0.61 0.49 0.54 21729815
accuracy 0.64 49785283
macro avg 0.64 0.63 0.63 49785283
weighted avg 0.64 0.64 0.64 49785283
Accuracy: 0.6429305021727003
0-1%
precision recall f1-score support
0 0.71 0.77 0.73 27764588
1 0.56 0.48 0.52 17098553
accuracy 0.66 44863141
macro avg 0.63 0.62 0.63 44863141
weighted avg 0.65 0.66 0.65 44863141
Accuracy: 0.6570415566756683
1-10%
precision recall f1-score support
0 0.07 0.50 0.12 287564
1 0.94 0.52 0.66 4164787
accuracy 0.51 4452351
macro avg 0.50 0.51 0.39 4452351
weighted avg 0.88 0.51 0.63 4452351
Accuracy: 0.5141369132846894
10-20%
precision recall f1-score support
0 0.01 0.49 0.02 2455
1 0.99 0.52 0.68 257616
accuracy 0.52 260071
macro avg 0.50 0.50 0.35 260071
weighted avg 0.98 0.52 0.67 260071
Accuracy: 0.5153631123808499
20-40%
precision recall f1-score support
0 0.01 0.54 0.01 659
1 1.00 0.52 0.68 130568
accuracy 0.52 131227
macro avg 0.50 0.53 0.35 131227
weighted avg 0.99 0.52 0.68 131227
Accuracy: 0.5159685125774421
40-80%
precision recall f1-score support
0 0.00 0.51 0.01 169
1 1.00 0.52 0.68 65234
accuracy 0.52 65403
macro avg 0.50 0.51 0.34 65403
weighted avg 0.99 0.52 0.68 65403
Accuracy: 0.5182178187544914
80-90%
precision recall f1-score support
0 0.00 0.33 0.00 15
1 1.00 0.51 0.68 7371
accuracy 0.51 7386
macro avg 0.50 0.42 0.34 7386
weighted avg 1.00 0.51 0.68 7386
Accuracy: 0.5139453019225562
90-100%
precision recall f1-score support
0 0.00 0.56 0.01 18
1 1.00 0.52 0.69 5686
accuracy 0.52 5704
macro avg 0.50 0.54 0.35 5704
weighted avg 0.99 0.52 0.68 5704
Accuracy: 0.5227910238429172
0.1
Treshold: 0.6
All
precision recall f1-score support
0 0.67 0.76 0.71 26119367
1 0.65 0.56 0.60 21615229
accuracy 0.67 47734596
macro avg 0.66 0.66 0.66 47734596
weighted avg 0.66 0.67 0.66 47734596
Accuracy: 0.6658257042753646
0-1%
precision recall f1-score support
0 0.98 0.91 0.94 12053010
1 0.19 0.49 0.28 508421
accuracy 0.90 12561431
macro avg 0.59 0.70 0.61 12561431
weighted avg 0.95 0.90 0.92 12561431
Accuracy: 0.8971429290181987
1-10%
precision recall f1-score support
0 0.57 0.63 0.59 13368467
1 0.62 0.56 0.58 14466820
accuracy 0.59 27835287
macro avg 0.59 0.59 0.59 27835287
weighted avg 0.59 0.59 0.59 27835287
Accuracy: 0.5894819766004209
10-20%
precision recall f1-score support
0 0.14 0.49 0.22 503365
1 0.88 0.57 0.69 3387274
accuracy 0.56 3890639
macro avg 0.51 0.53 0.46 3890639
weighted avg 0.79 0.56 0.63 3890639
Accuracy: 0.5590942773153715
20-40%
precision recall f1-score support
0 0.08 0.49 0.13 147488
1 0.94 0.57 0.71 1970425
accuracy 0.56 2117913
macro avg 0.51 0.53 0.42 2117913
weighted avg 0.88 0.56 0.67 2117913
Accuracy: 0.5598851322032586
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 0.69 1105895
Accuracy: 0.5599509899221897
80-90%
precision recall f1-score support
0 0.03 0.50 0.05 3093
1 0.98 0.56 0.71 120943
accuracy 0.56 124036
macro avg 0.50 0.53 0.38 124036
weighted avg 0.95 0.56 0.70 124036
Accuracy: 0.5590151246412332
90-100%
precision recall f1-score support
0 0.03 0.48 0.05 2328
1 0.98 0.56 0.71 97067
accuracy 0.56 99395
macro avg 0.50 0.52 0.38 99395
weighted avg 0.96 0.56 0.70 99395
Accuracy: 0.5585291010614216
0.2
Treshold: 0.6
All
precision recall f1-score support
0 0.69 0.76 0.73 24893266
1 0.67 0.60 0.63 20563095
accuracy 0.69 45456361
macro avg 0.68 0.68 0.68 45456361
weighted avg 0.68 0.69 0.68 45456361
Accuracy: 0.6853808425183882
0-1%
precision recall f1-score support
0 1.00 0.99 0.99 4873589
1 0.04 0.53 0.07 3872
accuracy 0.99 4877461
macro avg 0.52 0.76 0.53 4877461
weighted avg 1.00 0.99 0.99 4877461
Accuracy: 0.9888275887803101
1-10%
precision recall f1-score support
0 0.79 0.73 0.76 16949103
1 0.51 0.59 0.55 8016772
accuracy 0.69 24965875
macro avg 0.65 0.66 0.65 24965875
weighted avg 0.70 0.69 0.69 24965875
Accuracy: 0.6864149964701818
10-20%
precision recall f1-score support
0 0.34 0.53 0.42 2057494
1 0.78 0.61 0.68 5461156
accuracy 0.59 7518650
macro avg 0.56 0.57 0.55 7518650
weighted avg 0.66 0.59 0.61 7518650
Accuracy: 0.5878621827056719
20-40%
precision recall f1-score support
0 0.19 0.51 0.28 744974
1 0.87 0.60 0.71 4060539
accuracy 0.59 4805513
macro avg 0.53 0.56 0.50 4805513
weighted avg 0.77 0.59 0.65 4805513
Accuracy: 0.5900872601946973
40-80%
precision recall f1-score support
0 0.11 0.51 0.18 235909
1 0.93 0.60 0.73 2483775
accuracy 0.59 2719684
macro avg 0.52 0.55 0.45 2719684
weighted avg 0.86 0.59 0.68 2719684
Accuracy: 0.5899218438612721
80-90%
precision recall f1-score support
0 0.07 0.51 0.13 18577
1 0.95 0.59 0.73 296772
accuracy 0.59 315349
macro avg 0.51 0.55 0.43 315349
weighted avg 0.90 0.59 0.70 315349
Accuracy: 0.5883291210690378
90-100%
precision recall f1-score support
0 0.07 0.51 0.12 13620
1 0.96 0.59 0.73 240209
accuracy 0.59 253829
macro avg 0.51 0.55 0.42 253829
weighted avg 0.91 0.59 0.70 253829
Accuracy: 0.5888531255293918
0.4
Treshold: 0.6
All
precision recall f1-score support
0 0.75 0.77 0.76 22531902
1 0.68 0.65 0.67 16938696
accuracy 0.72 39470598
macro avg 0.71 0.71 0.71 39470598
weighted avg 0.72 0.72 0.72 39470598
Accuracy: 0.7204534119295583
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999799999870967
1-10%
precision recall f1-score support
0 0.95 0.86 0.90 11439888
1 0.33 0.61 0.43 1271288
accuracy 0.84 12711176
macro avg 0.64 0.73 0.67 12711176
weighted avg 0.89 0.84 0.86 12711176
Accuracy: 0.8359920435371204
10-20%
precision recall f1-score support
0 0.71 0.67 0.69 5044441
1 0.59 0.64 0.62 3812372
accuracy 0.66 8856813
macro avg 0.65 0.65 0.65 8856813
weighted avg 0.66 0.66 0.66 8856813
Accuracy: 0.656142903773626
20-40%
precision recall f1-score support
0 0.49 0.61 0.54 2995598
1 0.76 0.66 0.70 5583215
accuracy 0.64 8578813
macro avg 0.62 0.63 0.62 8578813
weighted avg 0.66 0.64 0.65 8578813
Accuracy: 0.6398741877227071
40-80%
precision recall f1-score support
0 0.30 0.59 0.40 1295061
1 0.86 0.65 0.74 5001564
accuracy 0.64 6296625
macro avg 0.58 0.62 0.57 6296625
weighted avg 0.74 0.64 0.67 6296625
Accuracy: 0.6383792904929227
80-90%
precision recall f1-score support
0 0.22 0.58 0.32 117971
1 0.90 0.65 0.75 692761
accuracy 0.64 810732
macro avg 0.56 0.61 0.53 810732
weighted avg 0.80 0.64 0.69 810732
Accuracy: 0.6363286511448912
90-100%
precision recall f1-score support
0 0.20 0.58 0.30 88944
1 0.91 0.65 0.75 577496
accuracy 0.64 666440
macro avg 0.55 0.61 0.53 666440
weighted avg 0.81 0.64 0.69 666440
Accuracy: 0.636357361502911
LR_8_decay_vtime_w_0_5
0.01
Treshold: 0.6
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: 0.6
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: 0.6
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: 0.6
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.85 0.01 0.02 16938696
accuracy 0.57 39470598
macro avg 0.71 0.50 0.37 39470598
weighted avg 0.69 0.57 0.42 39470598
Accuracy: 0.5742465062221758
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 0.78 0.01 0.01 1271288
accuracy 0.90 12711176
macro avg 0.84 0.50 0.48 12711176
weighted avg 0.89 0.90 0.85 12711176
Accuracy: 0.9005092054425177
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.80 0.01 0.02 3812372
accuracy 0.57 8856813
macro avg 0.69 0.50 0.37 8856813
weighted avg 0.67 0.57 0.42 8856813
Accuracy: 0.5724775943671838
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.84 0.01 0.02 5583215
accuracy 0.35 8578813
macro avg 0.60 0.50 0.27 8578813
weighted avg 0.67 0.35 0.19 8578813
Accuracy: 0.35443994408084195
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.89 0.01 0.02 5001564
accuracy 0.21 6296625
macro avg 0.55 0.50 0.18 6296625
weighted avg 0.75 0.21 0.09 6296625
Accuracy: 0.21278002104301907
80-90%
precision recall f1-score support
0 0.15 0.99 0.25 117971
1 0.92 0.01 0.02 692761
accuracy 0.15 810732
macro avg 0.53 0.50 0.14 810732
weighted avg 0.81 0.15 0.05 810732
Accuracy: 0.15339964377870863
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.93 0.01 0.02 577496
accuracy 0.14 666440
macro avg 0.53 0.50 0.13 666440
weighted avg 0.82 0.14 0.05 666440
Accuracy: 0.14128803793289718
LR_8_decay_vtime_w_0_75
0.01
Treshold: 0.6
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: 0.6
All
precision recall f1-score support
0 0.57 0.95 0.72 26119367
1 0.73 0.15 0.25 21615229
accuracy 0.59 47734596
macro avg 0.65 0.55 0.48 47734596
weighted avg 0.64 0.59 0.50 47734596
Accuracy: 0.5886962361638087
0-1%
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.42 0.12 0.19 508421
accuracy 0.96 12561431
macro avg 0.69 0.56 0.58 12561431
weighted avg 0.94 0.96 0.95 12561431
Accuracy: 0.9575670956597222
1-10%
precision recall f1-score support
0 0.50 0.92 0.65 13368467
1 0.67 0.14 0.24 14466820
accuracy 0.52 27835287
macro avg 0.58 0.53 0.44 27835287
weighted avg 0.59 0.52 0.43 27835287
Accuracy: 0.5181902022422115
10-20%
precision recall f1-score support
0 0.13 0.86 0.23 503365
1 0.88 0.16 0.27 3387274
accuracy 0.25 3890639
macro avg 0.51 0.51 0.25 3890639
weighted avg 0.79 0.25 0.26 3890639
Accuracy: 0.24804305925067835
20-40%
precision recall f1-score support
0 0.07 0.86 0.13 147488
1 0.94 0.16 0.27 1970425
accuracy 0.21 2117913
macro avg 0.50 0.51 0.20 2117913
weighted avg 0.88 0.21 0.26 2117913
Accuracy: 0.20746933419833583
40-80%
precision recall f1-score support
0 0.04 0.86 0.07 41616
1 0.97 0.16 0.27 1064279
accuracy 0.19 1105895
macro avg 0.50 0.51 0.17 1105895
weighted avg 0.93 0.19 0.27 1105895
Accuracy: 0.18533043372110372
80-90%
precision recall f1-score support
0 0.03 0.86 0.05 3093
1 0.98 0.16 0.28 120943
accuracy 0.18 124036
macro avg 0.50 0.51 0.16 124036
weighted avg 0.95 0.18 0.27 124036
Accuracy: 0.17793221322841757
90-100%
precision recall f1-score support
0 0.02 0.86 0.05 2328
1 0.98 0.16 0.27 97067
accuracy 0.17 99395
macro avg 0.50 0.51 0.16 99395
weighted avg 0.96 0.17 0.27 99395
Accuracy: 0.17422405553599277
0.2
Treshold: 0.6
All
precision recall f1-score support
0 0.60 0.93 0.73 24893266
1 0.75 0.25 0.37 20563095
accuracy 0.62 45456361
macro avg 0.67 0.59 0.55 45456361
weighted avg 0.67 0.62 0.57 45456361
Accuracy: 0.620836784537152
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.26 0.20 0.22 3872
accuracy 1.00 4877461
macro avg 0.63 0.60 0.61 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9989076283746811
1-10%
precision recall f1-score support
0 0.72 0.93 0.81 16949103
1 0.62 0.23 0.34 8016772
accuracy 0.71 24965875
macro avg 0.67 0.58 0.58 24965875
weighted avg 0.69 0.71 0.66 24965875
Accuracy: 0.7077758740681029
10-20%
precision recall f1-score support
0 0.29 0.82 0.43 2057494
1 0.79 0.25 0.38 5461156
accuracy 0.41 7518650
macro avg 0.54 0.54 0.41 7518650
weighted avg 0.65 0.41 0.40 7518650
Accuracy: 0.40772731806906826
20-40%
precision recall f1-score support
0 0.16 0.80 0.27 744974
1 0.87 0.25 0.39 4060539
accuracy 0.34 4805513
macro avg 0.52 0.53 0.33 4805513
weighted avg 0.76 0.34 0.38 4805513
Accuracy: 0.33935586065421114
40-80%
precision recall f1-score support
0 0.09 0.80 0.17 235909
1 0.93 0.25 0.40 2483775
accuracy 0.30 2719684
macro avg 0.51 0.53 0.28 2719684
weighted avg 0.86 0.30 0.38 2719684
Accuracy: 0.3017354222034619
80-90%
precision recall f1-score support
0 0.06 0.80 0.12 18577
1 0.95 0.25 0.40 296772
accuracy 0.29 315349
macro avg 0.51 0.53 0.26 315349
weighted avg 0.90 0.29 0.38 315349
Accuracy: 0.2853251476935078
90-100%
precision recall f1-score support
0 0.06 0.80 0.11 13620
1 0.96 0.25 0.40 240209
accuracy 0.28 253829
macro avg 0.51 0.53 0.25 253829
weighted avg 0.91 0.28 0.38 253829
Accuracy: 0.2823318060584094
0.4
Treshold: 0.6
All
precision recall f1-score support
0 0.65 0.93 0.77 22531902
1 0.79 0.34 0.47 16938696
accuracy 0.68 39470598
macro avg 0.72 0.64 0.62 39470598
weighted avg 0.71 0.68 0.64 39470598
Accuracy: 0.6774687832193472
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 0.97 0.95 11439888
1 0.56 0.29 0.39 1271288
accuracy 0.91 12711176
macro avg 0.74 0.63 0.67 12711176
weighted avg 0.89 0.91 0.89 12711176
Accuracy: 0.9062160731627035
10-20%
precision recall f1-score support
0 0.64 0.90 0.75 5044441
1 0.71 0.33 0.45 3812372
accuracy 0.65 8856813
macro avg 0.67 0.61 0.60 8856813
weighted avg 0.67 0.65 0.62 8856813
Accuracy: 0.6538057199581836
20-40%
precision recall f1-score support
0 0.41 0.85 0.55 2995598
1 0.81 0.35 0.49 5583215
accuracy 0.52 8578813
macro avg 0.61 0.60 0.52 8578813
weighted avg 0.67 0.52 0.51 8578813
Accuracy: 0.5224264708882219
40-80%
precision recall f1-score support
0 0.24 0.82 0.38 1295061
1 0.88 0.35 0.50 5001564
accuracy 0.44 6296625
macro avg 0.56 0.58 0.44 6296625
weighted avg 0.75 0.44 0.47 6296625
Accuracy: 0.44402930141147046
80-90%
precision recall f1-score support
0 0.17 0.81 0.28 117971
1 0.91 0.34 0.50 692761
accuracy 0.41 810732
macro avg 0.54 0.57 0.39 810732
weighted avg 0.80 0.41 0.47 810732
Accuracy: 0.41063014658358127
90-100%
precision recall f1-score support
0 0.16 0.80 0.27 88944
1 0.92 0.34 0.50 577496
accuracy 0.40 666440
macro avg 0.54 0.57 0.38 666440
weighted avg 0.82 0.40 0.47 666440
Accuracy: 0.4048316427585379
LR_9
0.01
Treshold: 0.6
All
precision recall f1-score support
0 0.78 0.75 0.76 28055468
1 0.69 0.72 0.70 21729815
accuracy 0.74 49785283
macro avg 0.73 0.73 0.73 49785283
weighted avg 0.74 0.74 0.74 49785283
Accuracy: 0.7358201016955151
0-1%
precision recall f1-score support
0 0.78 0.75 0.77 27764588
1 0.62 0.66 0.64 17098553
accuracy 0.72 44863141
macro avg 0.70 0.70 0.70 44863141
weighted avg 0.72 0.72 0.72 44863141
Accuracy: 0.7158991609615564
1-10%
precision recall f1-score support
0 0.09 0.04 0.06 287564
1 0.94 0.97 0.95 4164787
accuracy 0.91 4452351
macro avg 0.51 0.51 0.51 4452351
weighted avg 0.88 0.91 0.90 4452351
Accuracy: 0.911357842182703
10-20%
precision recall f1-score support
0 0.02 0.04 0.03 2455
1 0.99 0.99 0.99 257616
accuracy 0.98 260071
macro avg 0.51 0.51 0.51 260071
weighted avg 0.98 0.98 0.98 260071
Accuracy: 0.9765602470094705
20-40%
precision recall f1-score support
0 0.02 0.06 0.02 659
1 1.00 0.98 0.99 130568
accuracy 0.98 131227
macro avg 0.51 0.52 0.51 131227
weighted avg 0.99 0.98 0.98 131227
Accuracy: 0.9756528763135636
40-80%
precision recall f1-score support
0 0.01 0.11 0.02 169
1 1.00 0.97 0.98 65234
accuracy 0.97 65403
macro avg 0.50 0.54 0.50 65403
weighted avg 1.00 0.97 0.98 65403
Accuracy: 0.9674938458480498
80-90%
precision recall f1-score support
0 0.01 0.13 0.01 15
1 1.00 0.96 0.98 7371
accuracy 0.96 7386
macro avg 0.50 0.55 0.50 7386
weighted avg 1.00 0.96 0.98 7386
Accuracy: 0.9615488762523694
90-100%
precision recall f1-score support
0 0.02 0.22 0.03 18
1 1.00 0.96 0.98 5686
accuracy 0.96 5704
macro avg 0.51 0.59 0.50 5704
weighted avg 0.99 0.96 0.97 5704
Accuracy: 0.9565217391304348
0.1
Treshold: 0.6
All
precision recall f1-score support
0 0.77 0.74 0.76 26119367
1 0.70 0.74 0.72 21615229
accuracy 0.74 47734596
macro avg 0.74 0.74 0.74 47734596
weighted avg 0.74 0.74 0.74 47734596
Accuracy: 0.7409823684272933
0-1%
precision recall f1-score support
0 0.96 0.95 0.96 12053010
1 0.11 0.15 0.13 508421
accuracy 0.92 12561431
macro avg 0.54 0.55 0.54 12561431
weighted avg 0.93 0.92 0.92 12561431
Accuracy: 0.917398742229289
1-10%
precision recall f1-score support
0 0.62 0.59 0.61 13368467
1 0.64 0.67 0.65 14466820
accuracy 0.63 27835287
macro avg 0.63 0.63 0.63 27835287
weighted avg 0.63 0.63 0.63 27835287
Accuracy: 0.6313308714941578
10-20%
precision recall f1-score support
0 0.19 0.11 0.14 503365
1 0.88 0.93 0.90 3387274
accuracy 0.82 3890639
macro avg 0.53 0.52 0.52 3890639
weighted avg 0.79 0.82 0.80 3890639
Accuracy: 0.8207253358638517
20-40%
precision recall f1-score support
0 0.10 0.09 0.10 147488
1 0.93 0.94 0.94 1970425
accuracy 0.88 2117913
macro avg 0.52 0.52 0.52 2117913
weighted avg 0.87 0.88 0.88 2117913
Accuracy: 0.8813931450442015
40-80%
precision recall f1-score support
0 0.06 0.09 0.07 41616
1 0.96 0.94 0.95 1064279
accuracy 0.91 1105895
macro avg 0.51 0.52 0.51 1105895
weighted avg 0.93 0.91 0.92 1105895
Accuracy: 0.9109671352162728
80-90%
precision recall f1-score support
0 0.04 0.10 0.06 3093
1 0.98 0.94 0.96 120943
accuracy 0.92 124036
macro avg 0.51 0.52 0.51 124036
weighted avg 0.95 0.92 0.94 124036
Accuracy: 0.921490535005966
90-100%
precision recall f1-score support
0 0.04 0.10 0.06 2328
1 0.98 0.94 0.96 97067
accuracy 0.92 99395
macro avg 0.51 0.52 0.51 99395
weighted avg 0.96 0.92 0.94 99395
Accuracy: 0.923436792595201
0.2
Treshold: 0.6
All
precision recall f1-score support
0 0.78 0.75 0.76 24893266
1 0.71 0.74 0.72 20563095
accuracy 0.74 45456361
macro avg 0.74 0.74 0.74 45456361
weighted avg 0.74 0.74 0.74 45456361
Accuracy: 0.7428775039867358
0-1%
precision recall f1-score support
0 1.00 0.99 1.00 4873589
1 0.01 0.07 0.02 3872
accuracy 0.99 4877461
macro avg 0.50 0.53 0.51 4877461
weighted avg 1.00 0.99 1.00 4877461
Accuracy: 0.9929239823752563
1-10%
precision recall f1-score support
0 0.77 0.77 0.77 16949103
1 0.51 0.52 0.52 8016772
accuracy 0.69 24965875
macro avg 0.64 0.64 0.64 24965875
weighted avg 0.69 0.69 0.69 24965875
Accuracy: 0.6878690612686317
10-20%
precision recall f1-score support
0 0.40 0.26 0.32 2057494
1 0.75 0.85 0.80 5461156
accuracy 0.69 7518650
macro avg 0.57 0.56 0.56 7518650
weighted avg 0.66 0.69 0.67 7518650
Accuracy: 0.6885870468767664
20-40%
precision recall f1-score support
0 0.24 0.18 0.20 744974
1 0.86 0.90 0.88 4060539
accuracy 0.79 4805513
macro avg 0.55 0.54 0.54 4805513
weighted avg 0.76 0.79 0.77 4805513
Accuracy: 0.7856116506187789
40-80%
precision recall f1-score support
0 0.14 0.15 0.15 235909
1 0.92 0.91 0.92 2483775
accuracy 0.85 2719684
macro avg 0.53 0.53 0.53 2719684
weighted avg 0.85 0.85 0.85 2719684
Accuracy: 0.8464549557963351
80-90%
precision recall f1-score support
0 0.10 0.15 0.12 18577
1 0.94 0.92 0.93 296772
accuracy 0.87 315349
macro avg 0.52 0.53 0.52 315349
weighted avg 0.90 0.87 0.88 315349
Accuracy: 0.872087750397179
90-100%
precision recall f1-score support
0 0.09 0.14 0.11 13620
1 0.95 0.92 0.93 240209
accuracy 0.88 253829
macro avg 0.52 0.53 0.52 253829
weighted avg 0.90 0.88 0.89 253829
Accuracy: 0.8773347411052322
0.4
Treshold: 0.6
All
precision recall f1-score support
0 0.79 0.76 0.77 22531902
1 0.69 0.74 0.72 16938696
accuracy 0.75 39470598
macro avg 0.74 0.75 0.74 39470598
weighted avg 0.75 0.75 0.75 39470598
Accuracy: 0.7480624945180714
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999993548382935
1-10%
precision recall f1-score support
0 0.92 0.93 0.92 11439888
1 0.31 0.30 0.30 1271288
accuracy 0.86 12711176
macro avg 0.62 0.61 0.61 12711176
weighted avg 0.86 0.86 0.86 12711176
Accuracy: 0.8637324351421143
10-20%
precision recall f1-score support
0 0.68 0.64 0.66 5044441
1 0.56 0.60 0.58 3812372
accuracy 0.63 8856813
macro avg 0.62 0.62 0.62 8856813
weighted avg 0.63 0.63 0.63 8856813
Accuracy: 0.6256777691930495
20-40%
precision recall f1-score support
0 0.52 0.40 0.45 2995598
1 0.71 0.80 0.76 5583215
accuracy 0.66 8578813
macro avg 0.62 0.60 0.60 8578813
weighted avg 0.65 0.66 0.65 8578813
Accuracy: 0.6613801932738247
40-80%
precision recall f1-score support
0 0.34 0.30 0.32 1295061
1 0.82 0.85 0.84 5001564
accuracy 0.74 6296625
macro avg 0.58 0.57 0.58 6296625
weighted avg 0.72 0.74 0.73 6296625
Accuracy: 0.7355694518889088
80-90%
precision recall f1-score support
0 0.25 0.28 0.27 117971
1 0.88 0.86 0.87 692761
accuracy 0.77 810732
macro avg 0.56 0.57 0.57 810732
weighted avg 0.78 0.77 0.78 810732
Accuracy: 0.7745901234933369
90-100%
precision recall f1-score support
0 0.24 0.27 0.25 88944
1 0.89 0.86 0.87 577496
accuracy 0.78 666440
macro avg 0.56 0.57 0.56 666440
weighted avg 0.80 0.78 0.79 666440
Accuracy: 0.783961046755897
LR_9_decay_rtime
0.01
Treshold: 0.6
All
precision recall f1-score support
0 0.83 0.76 0.79 28055468
1 0.72 0.80 0.76 21729815
accuracy 0.78 49785283
macro avg 0.77 0.78 0.78 49785283
weighted avg 0.78 0.78 0.78 49785283
Accuracy: 0.776786706224006
0-1%
precision recall f1-score support
0 0.83 0.77 0.80 27764588
1 0.66 0.74 0.70 17098553
accuracy 0.76 44863141
macro avg 0.75 0.76 0.75 44863141
weighted avg 0.77 0.76 0.76 44863141
Accuracy: 0.7587836972894965
1-10%
precision recall f1-score support
0 0.25 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.59 0.50 0.48 4452351
weighted avg 0.89 0.94 0.90 4452351
Accuracy: 0.9353824530006731
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
0.1
Treshold: 0.6
All
precision recall f1-score support
0 0.80 0.72 0.76 26119367
1 0.70 0.78 0.74 21615229
accuracy 0.75 47734596
macro avg 0.75 0.75 0.75 47734596
weighted avg 0.75 0.75 0.75 47734596
Accuracy: 0.7475000731125911
0-1%
precision recall f1-score support
0 0.96 0.98 0.97 12053010
1 0.22 0.15 0.18 508421
accuracy 0.94 12561431
macro avg 0.59 0.56 0.57 12561431
weighted avg 0.93 0.94 0.94 12561431
Accuracy: 0.9442128846625835
1-10%
precision recall f1-score support
0 0.63 0.52 0.57 13368467
1 0.62 0.72 0.67 14466820
accuracy 0.63 27835287
macro avg 0.63 0.62 0.62 27835287
weighted avg 0.63 0.63 0.62 27835287
Accuracy: 0.6252882537191012
10-20%
precision recall f1-score support
0 0.16 0.07 0.10 503365
1 0.87 0.94 0.91 3387274
accuracy 0.83 3890639
macro avg 0.51 0.51 0.50 3890639
weighted avg 0.78 0.83 0.80 3890639
Accuracy: 0.8298091907267675
20-40%
precision recall f1-score support
0 0.09 0.03 0.05 147488
1 0.93 0.97 0.95 1970425
accuracy 0.91 2117913
macro avg 0.51 0.50 0.50 2117913
weighted avg 0.87 0.91 0.89 2117913
Accuracy: 0.9068040094187061
40-80%
precision recall f1-score support
0 0.05 0.02 0.03 41616
1 0.96 0.99 0.97 1064279
accuracy 0.95 1105895
macro avg 0.51 0.50 0.50 1105895
weighted avg 0.93 0.95 0.94 1105895
Accuracy: 0.9499708380994579
80-90%
precision recall f1-score support
0 0.03 0.01 0.02 3093
1 0.98 0.99 0.98 120943
accuracy 0.97 124036
macro avg 0.50 0.50 0.50 124036
weighted avg 0.95 0.97 0.96 124036
Accuracy: 0.9668725208810346
90-100%
precision recall f1-score support
0 0.03 0.01 0.01 2328
1 0.98 0.99 0.98 97067
accuracy 0.97 99395
macro avg 0.50 0.50 0.50 99395
weighted avg 0.95 0.97 0.96 99395
Accuracy: 0.969425021379345
0.2
Treshold: 0.6
All
precision recall f1-score support
0 0.77 0.65 0.70 24893266
1 0.64 0.76 0.70 20563095
accuracy 0.70 45456361
macro avg 0.70 0.70 0.70 45456361
weighted avg 0.71 0.70 0.70 45456361
Accuracy: 0.699147870635751
0-1%
precision recall f1-score support
0 1.00 0.99 0.99 4873589
1 0.03 0.54 0.06 3872
accuracy 0.99 4877461
macro avg 0.51 0.76 0.53 4877461
weighted avg 1.00 0.99 0.99 4877461
Accuracy: 0.9858715425915245
1-10%
precision recall f1-score support
0 0.83 0.60 0.70 16949103
1 0.47 0.73 0.57 8016772
accuracy 0.65 24965875
macro avg 0.65 0.67 0.63 24965875
weighted avg 0.71 0.65 0.66 24965875
Accuracy: 0.6461317298111923
10-20%
precision recall f1-score support
0 0.38 0.37 0.38 2057494
1 0.77 0.77 0.77 5461156
accuracy 0.66 7518650
macro avg 0.57 0.57 0.57 7518650
weighted avg 0.66 0.66 0.66 7518650
Accuracy: 0.6636123506214546
20-40%
precision recall f1-score support
0 0.22 0.35 0.27 744974
1 0.87 0.78 0.82 4060539
accuracy 0.71 4805513
macro avg 0.54 0.56 0.55 4805513
weighted avg 0.77 0.71 0.73 4805513
Accuracy: 0.7111607023017106
40-80%
precision recall f1-score support
0 0.13 0.34 0.19 235909
1 0.93 0.78 0.84 2483775
accuracy 0.74 2719684
macro avg 0.53 0.56 0.51 2719684
weighted avg 0.86 0.74 0.79 2719684
Accuracy: 0.7381673753274277
80-90%
precision recall f1-score support
0 0.09 0.34 0.14 18577
1 0.95 0.77 0.85 296772
accuracy 0.75 315349
macro avg 0.52 0.56 0.49 315349
weighted avg 0.90 0.75 0.81 315349
Accuracy: 0.747584422338425
90-100%
precision recall f1-score support
0 0.08 0.34 0.13 13620
1 0.95 0.77 0.85 240209
accuracy 0.75 253829
macro avg 0.52 0.56 0.49 253829
weighted avg 0.91 0.75 0.82 253829
Accuracy: 0.751021356897754
0.4
Treshold: 0.6
All
precision recall f1-score support
0 0.75 0.77 0.76 22531902
1 0.68 0.65 0.67 16938696
accuracy 0.72 39470598
macro avg 0.71 0.71 0.71 39470598
weighted avg 0.72 0.72 0.72 39470598
Accuracy: 0.7205002822607349
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999799999870967
1-10%
precision recall f1-score support
0 0.95 0.86 0.90 11439888
1 0.33 0.61 0.43 1271288
accuracy 0.84 12711176
macro avg 0.64 0.74 0.66 12711176
weighted avg 0.89 0.84 0.86 12711176
Accuracy: 0.8353920203763995
10-20%
precision recall f1-score support
0 0.71 0.66 0.69 5044441
1 0.59 0.65 0.62 3812372
accuracy 0.66 8856813
macro avg 0.65 0.65 0.65 8856813
weighted avg 0.66 0.66 0.66 8856813
Accuracy: 0.6560426419751665
20-40%
precision recall f1-score support
0 0.49 0.61 0.54 2995598
1 0.76 0.66 0.70 5583215
accuracy 0.64 8578813
macro avg 0.62 0.63 0.62 8578813
weighted avg 0.66 0.64 0.65 8578813
Accuracy: 0.640351060222434
40-80%
precision recall f1-score support
0 0.30 0.58 0.40 1295061
1 0.86 0.65 0.74 5001564
accuracy 0.64 6296625
macro avg 0.58 0.62 0.57 6296625
weighted avg 0.74 0.64 0.67 6296625
Accuracy: 0.6391579616064161
80-90%
precision recall f1-score support
0 0.22 0.58 0.32 117971
1 0.90 0.65 0.75 692761
accuracy 0.64 810732
macro avg 0.56 0.61 0.53 810732
weighted avg 0.80 0.64 0.69 810732
Accuracy: 0.6372303054523566
90-100%
precision recall f1-score support
0 0.20 0.58 0.30 88944
1 0.91 0.65 0.76 577496
accuracy 0.64 666440
macro avg 0.55 0.61 0.53 666440
weighted avg 0.81 0.64 0.69 666440
Accuracy: 0.6373176880139247
LR_9_decay_rtime_w_0_5
0.01
Treshold: 0.6
All
precision recall f1-score support
0 0.68 0.94 0.79 28055468
1 0.85 0.43 0.57 21729815
accuracy 0.72 49785283
macro avg 0.77 0.68 0.68 49785283
weighted avg 0.76 0.72 0.69 49785283
Accuracy: 0.7173512702539021
0-1%
precision recall f1-score support
0 0.68 0.95 0.80 27764588
1 0.78 0.28 0.41 17098553
accuracy 0.70 44863141
macro avg 0.73 0.62 0.60 44863141
weighted avg 0.72 0.70 0.65 44863141
Accuracy: 0.6964120278604656
1-10%
precision recall f1-score support
0 0.09 0.06 0.07 287564
1 0.94 0.96 0.95 4164787
accuracy 0.90 4452351
macro avg 0.51 0.51 0.51 4452351
weighted avg 0.88 0.90 0.89 4452351
Accuracy: 0.9002282165085367
10-20%
precision recall f1-score support
0 0.03 0.03 0.03 2455
1 0.99 0.99 0.99 257616
accuracy 0.98 260071
macro avg 0.51 0.51 0.51 260071
weighted avg 0.98 0.98 0.98 260071
Accuracy: 0.9807821710225285
20-40%
precision recall f1-score support
0 0.03 0.05 0.03 659
1 1.00 0.99 0.99 130568
accuracy 0.99 131227
macro avg 0.51 0.52 0.51 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9866033666852096
40-80%
precision recall f1-score support
0 0.03 0.09 0.04 169
1 1.00 0.99 0.99 65234
accuracy 0.99 65403
macro avg 0.51 0.54 0.52 65403
weighted avg 1.00 0.99 0.99 65403
Accuracy: 0.9887619833952571
80-90%
precision recall f1-score support
0 0.02 0.07 0.03 15
1 1.00 0.99 1.00 7371
accuracy 0.99 7386
macro avg 0.51 0.53 0.51 7386
weighted avg 1.00 0.99 0.99 7386
Accuracy: 0.991334958028703
90-100%
precision recall f1-score support
0 0.08 0.22 0.11 18
1 1.00 0.99 0.99 5686
accuracy 0.99 5704
macro avg 0.54 0.61 0.55 5704
weighted avg 0.99 0.99 0.99 5704
Accuracy: 0.9889551192145862
0.1
Treshold: 0.6
All
precision recall f1-score support
0 0.59 0.95 0.73 26119367
1 0.77 0.19 0.30 21615229
accuracy 0.61 47734596
macro avg 0.68 0.57 0.51 47734596
weighted avg 0.67 0.61 0.53 47734596
Accuracy: 0.6062791439567227
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.25 0.01 0.01 508421
accuracy 0.96 12561431
macro avg 0.60 0.50 0.49 12561431
weighted avg 0.93 0.96 0.94 12561431
Accuracy: 0.9591016342007531
1-10%
precision recall f1-score support
0 0.50 0.92 0.65 13368467
1 0.67 0.15 0.24 14466820
accuracy 0.52 27835287
macro avg 0.59 0.53 0.44 27835287
weighted avg 0.59 0.52 0.44 27835287
Accuracy: 0.5191409379037478
10-20%
precision recall f1-score support
0 0.13 0.75 0.23 503365
1 0.88 0.27 0.42 3387274
accuracy 0.33 3890639
macro avg 0.51 0.51 0.32 3890639
weighted avg 0.78 0.33 0.39 3890639
Accuracy: 0.3339158426160844
20-40%
precision recall f1-score support
0 0.07 0.72 0.13 147488
1 0.94 0.30 0.46 1970425
accuracy 0.33 2117913
macro avg 0.50 0.51 0.29 2117913
weighted avg 0.88 0.33 0.43 2117913
Accuracy: 0.3311547735907943
40-80%
precision recall f1-score support
0 0.04 0.71 0.07 41616
1 0.97 0.32 0.48 1064279
accuracy 0.33 1105895
macro avg 0.50 0.51 0.28 1105895
weighted avg 0.93 0.33 0.46 1105895
Accuracy: 0.33224763652968864
80-90%
precision recall f1-score support
0 0.03 0.71 0.05 3093
1 0.98 0.32 0.49 120943
accuracy 0.33 124036
macro avg 0.50 0.52 0.27 124036
weighted avg 0.95 0.33 0.48 124036
Accuracy: 0.33415298784223935
90-100%
precision recall f1-score support
0 0.02 0.69 0.05 2328
1 0.98 0.32 0.49 97067
accuracy 0.33 99395
macro avg 0.50 0.51 0.27 99395
weighted avg 0.96 0.33 0.48 99395
Accuracy: 0.3318376175863977
0.2
Treshold: 0.6
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.10 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: 0.5476261507162881
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992059393196583
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.10 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.39 0.50 0.40 24965875
weighted avg 0.49 0.68 0.55 24965875
Accuracy: 0.6788869206466828
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.25 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.26 0.50 0.21 7518650
weighted avg 0.26 0.27 0.12 7518650
Accuracy: 0.2736493918456106
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.03 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.09 0.50 0.13 4805513
weighted avg 0.05 0.16 0.04 4805513
Accuracy: 0.1550186213209703
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: 0.08673507657507269
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05889665101205331
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05363847314530649
0.4
Treshold: 0.6
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.85 0.01 0.02 16938696
accuracy 0.57 39470598
macro avg 0.71 0.50 0.37 39470598
weighted avg 0.69 0.57 0.42 39470598
Accuracy: 0.5739893781188722
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 0.78 0.01 0.01 1271288
accuracy 0.90 12711176
macro avg 0.84 0.50 0.48 12711176
weighted avg 0.89 0.90 0.85 12711176
Accuracy: 0.9004659364326322
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.80 0.01 0.02 3812372
accuracy 0.57 8856813
macro avg 0.69 0.50 0.37 8856813
weighted avg 0.67 0.57 0.42 8856813
Accuracy: 0.5722523440429419
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.84 0.01 0.02 5583215
accuracy 0.35 8578813
macro avg 0.60 0.50 0.27 8578813
weighted avg 0.67 0.35 0.19 8578813
Accuracy: 0.35405970499648376
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.89 0.01 0.02 5001564
accuracy 0.21 6296625
macro avg 0.55 0.50 0.18 6296625
weighted avg 0.75 0.21 0.09 6296625
Accuracy: 0.212228773350803
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.92 0.01 0.02 692761
accuracy 0.15 810732
macro avg 0.53 0.50 0.14 810732
weighted avg 0.81 0.15 0.05 810732
Accuracy: 0.15281005313716492
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.93 0.01 0.02 577496
accuracy 0.14 666440
macro avg 0.53 0.50 0.13 666440
weighted avg 0.83 0.14 0.05 666440
Accuracy: 0.14069833743472782
LR_9_decay_rtime_w_0_75
0.01
Treshold: 0.6
All
precision recall f1-score support
0 0.75 0.87 0.81 28055468
1 0.79 0.63 0.70 21729815
accuracy 0.76 49785283
macro avg 0.77 0.75 0.75 49785283
weighted avg 0.77 0.76 0.76 49785283
Accuracy: 0.7645455987465212
0-1%
precision recall f1-score support
0 0.75 0.88 0.81 27764588
1 0.73 0.53 0.61 17098553
accuracy 0.75 44863141
macro avg 0.74 0.70 0.71 44863141
weighted avg 0.74 0.75 0.74 44863141
Accuracy: 0.7454210350541439
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: 0.9331890050896706
10-20%
precision recall f1-score support
0 0.22 0.02 0.03 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.61 0.51 0.51 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9901526890733684
20-40%
precision recall f1-score support
0 0.27 0.04 0.06 659
1 1.00 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.63 0.52 0.53 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9946733522826857
40-80%
precision recall f1-score support
0 0.27 0.08 0.12 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.63 0.54 0.56 65403
weighted avg 1.00 1.00 1.00 65403
Accuracy: 0.9970796446646178
80-90%
precision recall f1-score support
0 0.17 0.07 0.10 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.58 0.53 0.55 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9974275656647712
90-100%
precision recall f1-score support
0 0.67 0.22 0.33 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.83 0.61 0.67 5704
weighted avg 1.00 1.00 1.00 5704
Accuracy: 0.9971949509116409
0.1
Treshold: 0.6
All
precision recall f1-score support
0 0.68 0.85 0.75 26119367
1 0.74 0.52 0.61 21615229
accuracy 0.70 47734596
macro avg 0.71 0.68 0.68 47734596
weighted avg 0.71 0.70 0.69 47734596
Accuracy: 0.6992453439848951
0-1%
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.25 0.05 0.08 508421
accuracy 0.96 12561431
macro avg 0.60 0.52 0.53 12561431
weighted avg 0.93 0.96 0.94 12561431
Accuracy: 0.955294424655917
1-10%
precision recall f1-score support
0 0.56 0.74 0.64 13368467
1 0.66 0.46 0.54 14466820
accuracy 0.59 27835287
macro avg 0.61 0.60 0.59 27835287
weighted avg 0.61 0.59 0.59 27835287
Accuracy: 0.5930401939092634
10-20%
precision recall f1-score support
0 0.15 0.38 0.21 503365
1 0.88 0.67 0.76 3387274
accuracy 0.64 3890639
macro avg 0.51 0.53 0.49 3890639
weighted avg 0.79 0.64 0.69 3890639
Accuracy: 0.6368159574815345
20-40%
precision recall f1-score support
0 0.08 0.34 0.13 147488
1 0.94 0.71 0.81 1970425
accuracy 0.68 2117913
macro avg 0.51 0.53 0.47 2117913
weighted avg 0.88 0.68 0.76 2117913
Accuracy: 0.6832471399911139
40-80%
precision recall f1-score support
0 0.04 0.33 0.08 41616
1 0.96 0.72 0.83 1064279
accuracy 0.71 1105895
macro avg 0.50 0.53 0.45 1105895
weighted avg 0.93 0.71 0.80 1105895
Accuracy: 0.7099543808408574
80-90%
precision recall f1-score support
0 0.03 0.32 0.05 3093
1 0.98 0.73 0.84 120943
accuracy 0.72 124036
macro avg 0.50 0.52 0.44 124036
weighted avg 0.95 0.72 0.82 124036
Accuracy: 0.7199603340965526
90-100%
precision recall f1-score support
0 0.03 0.30 0.05 2328
1 0.98 0.73 0.84 97067
accuracy 0.72 99395
macro avg 0.50 0.52 0.44 99395
weighted avg 0.96 0.72 0.82 99395
Accuracy: 0.7220685145128024
0.2
Treshold: 0.6
All
precision recall f1-score support
0 0.67 0.84 0.75 24893266
1 0.73 0.51 0.60 20563095
accuracy 0.69 45456361
macro avg 0.70 0.68 0.67 45456361
weighted avg 0.70 0.69 0.68 45456361
Accuracy: 0.6912363046395201
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: 0.9991007616462746
1-10%
precision recall f1-score support
0 0.74 0.85 0.79 16949103
1 0.55 0.38 0.45 8016772
accuracy 0.70 24965875
macro avg 0.65 0.62 0.62 24965875
weighted avg 0.68 0.70 0.68 24965875
Accuracy: 0.7004711431103456
10-20%
precision recall f1-score support
0 0.32 0.56 0.41 2057494
1 0.77 0.56 0.64 5461156
accuracy 0.56 7518650
macro avg 0.54 0.56 0.53 7518650
weighted avg 0.65 0.56 0.58 7518650
Accuracy: 0.5557657292200062
20-40%
precision recall f1-score support
0 0.19 0.49 0.27 744974
1 0.87 0.61 0.72 4060539
accuracy 0.59 4805513
macro avg 0.53 0.55 0.49 4805513
weighted avg 0.76 0.59 0.65 4805513
Accuracy: 0.5906813695020698
40-80%
precision recall f1-score support
0 0.11 0.47 0.18 235909
1 0.93 0.63 0.75 2483775
accuracy 0.62 2719684
macro avg 0.52 0.55 0.46 2719684
weighted avg 0.86 0.62 0.70 2719684
Accuracy: 0.6189594085195191
80-90%
precision recall f1-score support
0 0.07 0.46 0.13 18577
1 0.95 0.64 0.77 296772
accuracy 0.63 315349
macro avg 0.51 0.55 0.45 315349
weighted avg 0.90 0.63 0.73 315349
Accuracy: 0.6303682586594535
90-100%
precision recall f1-score support
0 0.07 0.46 0.12 13620
1 0.95 0.64 0.77 240209
accuracy 0.63 253829
macro avg 0.51 0.55 0.44 253829
weighted avg 0.91 0.63 0.73 253829
Accuracy: 0.6336628202451257
0.4
Treshold: 0.6
All
precision recall f1-score support
0 0.65 0.93 0.77 22531902
1 0.79 0.34 0.47 16938696
accuracy 0.68 39470598
macro avg 0.72 0.63 0.62 39470598
weighted avg 0.71 0.68 0.64 39470598
Accuracy: 0.6770472795978414
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 0.97 0.95 11439888
1 0.56 0.29 0.38 1271288
accuracy 0.91 12711176
macro avg 0.74 0.63 0.67 12711176
weighted avg 0.89 0.91 0.89 12711176
Accuracy: 0.9062507670415388
10-20%
precision recall f1-score support
0 0.64 0.90 0.75 5044441
1 0.71 0.33 0.45 3812372
accuracy 0.65 8856813
macro avg 0.67 0.61 0.60 8856813
weighted avg 0.67 0.65 0.62 8856813
Accuracy: 0.6534576263493426
20-40%
precision recall f1-score support
0 0.41 0.85 0.55 2995598
1 0.81 0.35 0.48 5583215
accuracy 0.52 8578813
macro avg 0.61 0.60 0.52 8578813
weighted avg 0.67 0.52 0.51 8578813
Accuracy: 0.5216986312675191
40-80%
precision recall f1-score support
0 0.24 0.82 0.38 1295061
1 0.88 0.35 0.50 5001564
accuracy 0.44 6296625
macro avg 0.56 0.58 0.44 6296625
weighted avg 0.75 0.44 0.47 6296625
Accuracy: 0.44304067655291524
80-90%
precision recall f1-score support
0 0.17 0.81 0.28 117971
1 0.91 0.34 0.50 692761
accuracy 0.41 810732
macro avg 0.54 0.57 0.39 810732
weighted avg 0.80 0.41 0.47 810732
Accuracy: 0.4095989796874923
90-100%
precision recall f1-score support
0 0.16 0.81 0.27 88944
1 0.92 0.34 0.50 577496
accuracy 0.40 666440
macro avg 0.54 0.57 0.38 666440
weighted avg 0.82 0.40 0.47 666440
Accuracy: 0.4037962907388512
LR_9_decay_vtime
0.01
Treshold: 0.6
All
precision recall f1-score support
0 0.66 0.77 0.71 28055468
1 0.62 0.48 0.54 21729815
accuracy 0.64 49785283
macro avg 0.64 0.62 0.62 49785283
weighted avg 0.64 0.64 0.63 49785283
Accuracy: 0.6420526323009954
0-1%
precision recall f1-score support
0 0.70 0.77 0.74 27764588
1 0.56 0.47 0.51 17098553
accuracy 0.66 44863141
macro avg 0.63 0.62 0.62 44863141
weighted avg 0.65 0.66 0.65 44863141
Accuracy: 0.6572652369569932
1-10%
precision recall f1-score support
0 0.07 0.51 0.12 287564
1 0.94 0.50 0.65 4164787
accuracy 0.50 4452351
macro avg 0.50 0.51 0.39 4452351
weighted avg 0.88 0.50 0.62 4452351
Accuracy: 0.5033585627009192
10-20%
precision recall f1-score support
0 0.01 0.50 0.02 2455
1 0.99 0.50 0.67 257616
accuracy 0.50 260071
macro avg 0.50 0.50 0.34 260071
weighted avg 0.98 0.50 0.66 260071
Accuracy: 0.5031856685289786
20-40%
precision recall f1-score support
0 0.01 0.55 0.01 659
1 1.00 0.50 0.67 130568
accuracy 0.50 131227
macro avg 0.50 0.52 0.34 131227
weighted avg 0.99 0.50 0.67 131227
Accuracy: 0.5033796398606994
40-80%
precision recall f1-score support
0 0.00 0.53 0.01 169
1 1.00 0.51 0.67 65234
accuracy 0.51 65403
macro avg 0.50 0.52 0.34 65403
weighted avg 1.00 0.51 0.67 65403
Accuracy: 0.5063682094093543
80-90%
precision recall f1-score support
0 0.00 0.33 0.00 15
1 1.00 0.50 0.67 7371
accuracy 0.50 7386
macro avg 0.50 0.42 0.33 7386
weighted avg 1.00 0.50 0.66 7386
Accuracy: 0.499729217438397
90-100%
precision recall f1-score support
0 0.00 0.56 0.01 18
1 1.00 0.51 0.68 5686
accuracy 0.51 5704
macro avg 0.50 0.53 0.34 5704
weighted avg 0.99 0.51 0.68 5704
Accuracy: 0.5136746143057503
0.1
Treshold: 0.6
All
precision recall f1-score support
0 0.67 0.76 0.71 26119367
1 0.65 0.56 0.60 21615229
accuracy 0.67 47734596
macro avg 0.66 0.66 0.66 47734596
weighted avg 0.66 0.67 0.66 47734596
Accuracy: 0.6657563834833754
0-1%
precision recall f1-score support
0 0.98 0.91 0.94 12053010
1 0.20 0.49 0.28 508421
accuracy 0.90 12561431
macro avg 0.59 0.70 0.61 12561431
weighted avg 0.95 0.90 0.92 12561431
Accuracy: 0.8974491839345374
1-10%
precision recall f1-score support
0 0.57 0.63 0.59 13368467
1 0.62 0.55 0.58 14466820
accuracy 0.59 27835287
macro avg 0.59 0.59 0.59 27835287
weighted avg 0.59 0.59 0.59 27835287
Accuracy: 0.5894146879103492
10-20%
precision recall f1-score support
0 0.14 0.49 0.22 503365
1 0.88 0.57 0.69 3387274
accuracy 0.56 3890639
macro avg 0.51 0.53 0.46 3890639
weighted avg 0.79 0.56 0.63 3890639
Accuracy: 0.5584344885248927
20-40%
precision recall f1-score support
0 0.08 0.49 0.13 147488
1 0.94 0.56 0.70 1970425
accuracy 0.56 2117913
macro avg 0.51 0.53 0.42 2117913
weighted avg 0.88 0.56 0.66 2117913
Accuracy: 0.5591060633746523
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 0.69 1105895
Accuracy: 0.5591344567070111
80-90%
precision recall f1-score support
0 0.03 0.50 0.05 3093
1 0.98 0.56 0.71 120943
accuracy 0.56 124036
macro avg 0.50 0.53 0.38 124036
weighted avg 0.95 0.56 0.70 124036
Accuracy: 0.5583056531974588
90-100%
precision recall f1-score support
0 0.03 0.48 0.05 2328
1 0.98 0.56 0.71 97067
accuracy 0.56 99395
macro avg 0.50 0.52 0.38 99395
weighted avg 0.96 0.56 0.70 99395
Accuracy: 0.5577745359424519
0.2
Treshold: 0.6
All
precision recall f1-score support
0 0.69 0.76 0.73 24893266
1 0.67 0.60 0.63 20563095
accuracy 0.69 45456361
macro avg 0.68 0.68 0.68 45456361
weighted avg 0.68 0.69 0.68 45456361
Accuracy: 0.6853518476765001
0-1%
precision recall f1-score support
0 1.00 0.99 0.99 4873589
1 0.04 0.53 0.07 3872
accuracy 0.99 4877461
macro avg 0.52 0.76 0.53 4877461
weighted avg 1.00 0.99 0.99 4877461
Accuracy: 0.9888999625009816
1-10%
precision recall f1-score support
0 0.79 0.73 0.76 16949103
1 0.51 0.58 0.55 8016772
accuracy 0.69 24965875
macro avg 0.65 0.66 0.65 24965875
weighted avg 0.70 0.69 0.69 24965875
Accuracy: 0.6866411051084731
10-20%
precision recall f1-score support
0 0.34 0.54 0.42 2057494
1 0.78 0.61 0.68 5461156
accuracy 0.59 7518650
macro avg 0.56 0.57 0.55 7518650
weighted avg 0.66 0.59 0.61 7518650
Accuracy: 0.587527149155766
20-40%
precision recall f1-score support
0 0.19 0.51 0.28 744974
1 0.87 0.60 0.71 4060539
accuracy 0.59 4805513
macro avg 0.53 0.56 0.50 4805513
weighted avg 0.77 0.59 0.65 4805513
Accuracy: 0.5895420530544814
40-80%
precision recall f1-score support
0 0.11 0.51 0.18 235909
1 0.93 0.60 0.73 2483775
accuracy 0.59 2719684
macro avg 0.52 0.55 0.45 2719684
weighted avg 0.86 0.59 0.68 2719684
Accuracy: 0.589262576093399
80-90%
precision recall f1-score support
0 0.07 0.51 0.13 18577
1 0.95 0.59 0.73 296772
accuracy 0.59 315349
macro avg 0.51 0.55 0.43 315349
weighted avg 0.90 0.59 0.69 315349
Accuracy: 0.5877012452869678
90-100%
precision recall f1-score support
0 0.07 0.51 0.12 13620
1 0.96 0.59 0.73 240209
accuracy 0.59 253829
macro avg 0.51 0.55 0.42 253829
weighted avg 0.91 0.59 0.70 253829
Accuracy: 0.5881203487387178
0.4
Treshold: 0.6
All
precision recall f1-score support
0 0.75 0.78 0.76 22531902
1 0.68 0.65 0.67 16938696
accuracy 0.72 39470598
macro avg 0.71 0.71 0.71 39470598
weighted avg 0.72 0.72 0.72 39470598
Accuracy: 0.7204513851044263
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999799999870967
1-10%
precision recall f1-score support
0 0.95 0.86 0.90 11439888
1 0.33 0.61 0.43 1271288
accuracy 0.84 12711176
macro avg 0.64 0.73 0.67 12711176
weighted avg 0.89 0.84 0.86 12711176
Accuracy: 0.8360128126618654
10-20%
precision recall f1-score support
0 0.71 0.67 0.69 5044441
1 0.59 0.64 0.62 3812372
accuracy 0.66 8856813
macro avg 0.65 0.65 0.65 8856813
weighted avg 0.66 0.66 0.66 8856813
Accuracy: 0.6561427908661953
20-40%
precision recall f1-score support
0 0.49 0.61 0.54 2995598
1 0.76 0.66 0.70 5583215
accuracy 0.64 8578813
macro avg 0.62 0.63 0.62 8578813
weighted avg 0.66 0.64 0.65 8578813
Accuracy: 0.6398600832073155
40-80%
precision recall f1-score support
0 0.30 0.59 0.40 1295061
1 0.86 0.65 0.74 5001564
accuracy 0.64 6296625
macro avg 0.58 0.62 0.57 6296625
weighted avg 0.74 0.64 0.67 6296625
Accuracy: 0.6383510213805015
80-90%
precision recall f1-score support
0 0.22 0.58 0.32 117971
1 0.90 0.65 0.75 692761
accuracy 0.64 810732
macro avg 0.56 0.61 0.53 810732
weighted avg 0.80 0.64 0.69 810732
Accuracy: 0.6362965813610416
90-100%
precision recall f1-score support
0 0.20 0.58 0.30 88944
1 0.91 0.65 0.75 577496
accuracy 0.64 666440
macro avg 0.55 0.61 0.53 666440
weighted avg 0.81 0.64 0.69 666440
Accuracy: 0.6363303523197887
LR_9_decay_vtime_w_0_5
0.01
Treshold: 0.6
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: 0.6
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: 0.6
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: 0.6
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.85 0.01 0.02 16938696
accuracy 0.57 39470598
macro avg 0.71 0.50 0.37 39470598
weighted avg 0.69 0.57 0.42 39470598
Accuracy: 0.5739564928811061
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 0.78 0.01 0.01 1271288
accuracy 0.90 12711176
macro avg 0.84 0.50 0.48 12711176
weighted avg 0.89 0.90 0.85 12711176
Accuracy: 0.9004601934549565
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.80 0.01 0.02 3812372
accuracy 0.57 8856813
macro avg 0.69 0.50 0.37 8856813
weighted avg 0.67 0.57 0.42 8856813
Accuracy: 0.5722238913704061
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.84 0.01 0.02 5583215
accuracy 0.35 8578813
macro avg 0.60 0.50 0.27 8578813
weighted avg 0.67 0.35 0.19 8578813
Accuracy: 0.35400911524706274
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.89 0.01 0.02 5001564
accuracy 0.21 6296625
macro avg 0.55 0.50 0.18 6296625
weighted avg 0.75 0.21 0.08 6296625
Accuracy: 0.212158259384988
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.92 0.01 0.02 692761
accuracy 0.15 810732
macro avg 0.53 0.50 0.14 810732
weighted avg 0.81 0.15 0.05 810732
Accuracy: 0.15274344666301565
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.93 0.01 0.02 577496
accuracy 0.14 666440
macro avg 0.53 0.50 0.13 666440
weighted avg 0.83 0.14 0.05 666440
Accuracy: 0.14063681651761598
LR_9_decay_vtime_w_0_75
0.01
Treshold: 0.6
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: 0.6
All
precision recall f1-score support
0 0.57 0.96 0.72 26119367
1 0.73 0.14 0.24 21615229
accuracy 0.59 47734596
macro avg 0.65 0.55 0.48 47734596
weighted avg 0.64 0.59 0.50 47734596
Accuracy: 0.587386473324295
0-1%
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.42 0.12 0.19 508421
accuracy 0.96 12561431
macro avg 0.69 0.56 0.58 12561431
weighted avg 0.94 0.96 0.95 12561431
Accuracy: 0.9577317265843358
1-10%
precision recall f1-score support
0 0.50 0.93 0.65 13368467
1 0.67 0.14 0.23 14466820
accuracy 0.52 27835287
macro avg 0.58 0.53 0.44 27835287
weighted avg 0.59 0.52 0.43 27835287
Accuracy: 0.5170108718476659
10-20%
precision recall f1-score support
0 0.13 0.87 0.23 503365
1 0.88 0.15 0.26 3387274
accuracy 0.24 3890639
macro avg 0.51 0.51 0.24 3890639
weighted avg 0.79 0.24 0.25 3890639
Accuracy: 0.2440750735290527
20-40%
precision recall f1-score support
0 0.07 0.86 0.13 147488
1 0.94 0.15 0.26 1970425
accuracy 0.20 2117913
macro avg 0.50 0.51 0.20 2117913
weighted avg 0.88 0.20 0.25 2117913
Accuracy: 0.20287991055345522
40-80%
precision recall f1-score support
0 0.04 0.87 0.07 41616
1 0.97 0.15 0.27 1064279
accuracy 0.18 1105895
macro avg 0.50 0.51 0.17 1105895
weighted avg 0.93 0.18 0.26 1105895
Accuracy: 0.18037969246628296
80-90%
precision recall f1-score support
0 0.03 0.87 0.05 3093
1 0.98 0.16 0.27 120943
accuracy 0.17 124036
macro avg 0.50 0.51 0.16 124036
weighted avg 0.95 0.17 0.26 124036
Accuracy: 0.1727804830855558
90-100%
precision recall f1-score support
0 0.02 0.86 0.05 2328
1 0.98 0.15 0.26 97067
accuracy 0.17 99395
macro avg 0.50 0.51 0.16 99395
weighted avg 0.96 0.17 0.26 99395
Accuracy: 0.16929423009205694
0.2
Treshold: 0.6
All
precision recall f1-score support
0 0.60 0.93 0.73 24893266
1 0.75 0.24 0.37 20563095
accuracy 0.62 45456361
macro avg 0.67 0.59 0.55 45456361
weighted avg 0.67 0.62 0.57 45456361
Accuracy: 0.620370425164478
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.26 0.20 0.22 3872
accuracy 1.00 4877461
macro avg 0.63 0.60 0.61 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9989150092640413
1-10%
precision recall f1-score support
0 0.72 0.93 0.81 16949103
1 0.62 0.23 0.34 8016772
accuracy 0.71 24965875
macro avg 0.67 0.58 0.58 24965875
weighted avg 0.69 0.71 0.66 24965875
Accuracy: 0.7076238665778788
10-20%
precision recall f1-score support
0 0.29 0.82 0.43 2057494
1 0.79 0.25 0.38 5461156
accuracy 0.41 7518650
macro avg 0.54 0.54 0.41 7518650
weighted avg 0.65 0.41 0.39 7518650
Accuracy: 0.40682888550471163
20-40%
precision recall f1-score support
0 0.16 0.80 0.27 744974
1 0.87 0.25 0.39 4060539
accuracy 0.34 4805513
macro avg 0.52 0.53 0.33 4805513
weighted avg 0.76 0.34 0.37 4805513
Accuracy: 0.3381197803439508
40-80%
precision recall f1-score support
0 0.09 0.80 0.17 235909
1 0.93 0.25 0.40 2483775
accuracy 0.30 2719684
macro avg 0.51 0.53 0.28 2719684
weighted avg 0.86 0.30 0.38 2719684
Accuracy: 0.30031577197939174
80-90%
precision recall f1-score support
0 0.06 0.80 0.12 18577
1 0.95 0.25 0.40 296772
accuracy 0.28 315349
macro avg 0.51 0.53 0.26 315349
weighted avg 0.90 0.28 0.38 315349
Accuracy: 0.2837491160587159
90-100%
precision recall f1-score support
0 0.06 0.80 0.11 13620
1 0.96 0.25 0.40 240209
accuracy 0.28 253829
macro avg 0.51 0.53 0.25 253829
weighted avg 0.91 0.28 0.38 253829
Accuracy: 0.28080715757458763
0.4
Treshold: 0.6
All
precision recall f1-score support
0 0.65 0.93 0.77 22531902
1 0.79 0.34 0.47 16938696
accuracy 0.68 39470598
macro avg 0.72 0.64 0.62 39470598
weighted avg 0.71 0.68 0.64 39470598
Accuracy: 0.6773175060585603
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 0.97 0.95 11439888
1 0.56 0.29 0.39 1271288
accuracy 0.91 12711176
macro avg 0.74 0.63 0.67 12711176
weighted avg 0.89 0.91 0.89 12711176
Accuracy: 0.9062287391819608
10-20%
precision recall f1-score support
0 0.64 0.90 0.75 5044441
1 0.71 0.33 0.45 3812372
accuracy 0.65 8856813
macro avg 0.67 0.61 0.60 8856813
weighted avg 0.67 0.65 0.62 8856813
Accuracy: 0.6536779087466338
20-40%
precision recall f1-score support
0 0.41 0.85 0.55 2995598
1 0.81 0.35 0.49 5583215
accuracy 0.52 8578813
macro avg 0.61 0.60 0.52 8578813
weighted avg 0.67 0.52 0.51 8578813
Accuracy: 0.5221699085875866
40-80%
precision recall f1-score support
0 0.24 0.82 0.38 1295061
1 0.88 0.35 0.50 5001564
accuracy 0.44 6296625
macro avg 0.56 0.58 0.44 6296625
weighted avg 0.75 0.44 0.47 6296625
Accuracy: 0.44367514343001213
80-90%
precision recall f1-score support
0 0.17 0.81 0.28 117971
1 0.91 0.34 0.50 692761
accuracy 0.41 810732
macro avg 0.54 0.57 0.39 810732
weighted avg 0.80 0.41 0.47 810732
Accuracy: 0.4102551768031853
90-100%
precision recall f1-score support
0 0.16 0.81 0.27 88944
1 0.92 0.34 0.50 577496
accuracy 0.40 666440
macro avg 0.54 0.57 0.38 666440
weighted avg 0.82 0.40 0.47 666440
Accuracy: 0.40443400756257125
LR_decay_rtime
0.01
Treshold: 0.6
All
precision recall f1-score support
0 0.64 0.65 0.64 28055468
1 0.53 0.52 0.53 21729815
accuracy 0.59 49785283
macro avg 0.59 0.58 0.58 49785283
weighted avg 0.59 0.59 0.59 49785283
Accuracy: 0.5927141360228886
0-1%
precision recall f1-score support
0 0.69 0.65 0.67 27764588
1 0.48 0.52 0.50 17098553
accuracy 0.60 44863141
macro avg 0.58 0.59 0.58 44863141
weighted avg 0.61 0.60 0.60 44863141
Accuracy: 0.6006951006841006
1-10%
precision recall f1-score support
0 0.07 0.61 0.13 287564
1 0.95 0.47 0.63 4164787
accuracy 0.48 4452351
macro avg 0.51 0.54 0.38 4452351
weighted avg 0.89 0.48 0.60 4452351
Accuracy: 0.47973553747222536
10-20%
precision recall f1-score support
0 0.01 0.13 0.02 2455
1 0.99 0.87 0.93 257616
accuracy 0.87 260071
macro avg 0.50 0.50 0.47 260071
weighted avg 0.98 0.87 0.92 260071
Accuracy: 0.8674131294915619
20-40%
precision recall f1-score support
0 0.01 0.09 0.01 659
1 1.00 0.93 0.96 130568
accuracy 0.93 131227
macro avg 0.50 0.51 0.49 131227
weighted avg 0.99 0.93 0.96 131227
Accuracy: 0.9298619948638619
40-80%
precision recall f1-score support
0 0.00 0.02 0.00 169
1 1.00 0.97 0.98 65234
accuracy 0.96 65403
macro avg 0.50 0.49 0.49 65403
weighted avg 0.99 0.96 0.98 65403
Accuracy: 0.9635184930354876
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: 0.979555916598971
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 0.98 0.99 5686
accuracy 0.97 5704
macro avg 0.50 0.49 0.49 5704
weighted avg 0.99 0.97 0.98 5704
Accuracy: 0.9742286115007013
0.1
Treshold: 0.6
All
precision recall f1-score support
0 0.73 0.71 0.72 26119367
1 0.66 0.68 0.67 21615229
accuracy 0.70 47734596
macro avg 0.69 0.70 0.69 47734596
weighted avg 0.70 0.70 0.70 47734596
Accuracy: 0.6970736905367335
0-1%
precision recall f1-score support
0 0.98 0.92 0.95 12053010
1 0.20 0.46 0.28 508421
accuracy 0.90 12561431
macro avg 0.59 0.69 0.62 12561431
weighted avg 0.94 0.90 0.92 12561431
Accuracy: 0.904882811520439
1-10%
precision recall f1-score support
0 0.60 0.55 0.57 13368467
1 0.61 0.66 0.64 14466820
accuracy 0.61 27835287
macro avg 0.60 0.60 0.60 27835287
weighted avg 0.60 0.61 0.60 27835287
Accuracy: 0.6054185825351828
10-20%
precision recall f1-score support
0 0.16 0.35 0.22 503365
1 0.88 0.72 0.79 3387274
accuracy 0.67 3890639
macro avg 0.52 0.54 0.51 3890639
weighted avg 0.79 0.67 0.72 3890639
Accuracy: 0.6739247717405804
20-40%
precision recall f1-score support
0 0.09 0.34 0.14 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: 0.7002516156234935
40-80%
precision recall f1-score support
0 0.05 0.34 0.08 41616
1 0.97 0.73 0.83 1064279
accuracy 0.71 1105895
macro avg 0.51 0.53 0.46 1105895
weighted avg 0.93 0.71 0.80 1105895
Accuracy: 0.714353532659068
80-90%
precision recall f1-score support
0 0.03 0.35 0.06 3093
1 0.98 0.73 0.83 120943
accuracy 0.72 124036
macro avg 0.50 0.54 0.45 124036
weighted avg 0.95 0.72 0.82 124036
Accuracy: 0.7191379921958141
90-100%
precision recall f1-score support
0 0.03 0.33 0.05 2328
1 0.98 0.73 0.84 97067
accuracy 0.72 99395
macro avg 0.50 0.53 0.44 99395
weighted avg 0.96 0.72 0.82 99395
Accuracy: 0.7207505407716686
0.2
Treshold: 0.6
All
precision recall f1-score support
0 0.75 0.67 0.71 24893266
1 0.65 0.72 0.68 20563095
accuracy 0.70 45456361
macro avg 0.70 0.70 0.70 45456361
weighted avg 0.70 0.70 0.70 45456361
Accuracy: 0.6958789772018926
0-1%
precision recall f1-score support
0 1.00 0.99 0.99 4873589
1 0.03 0.55 0.06 3872
accuracy 0.99 4877461
macro avg 0.52 0.77 0.53 4877461
weighted avg 1.00 0.99 0.99 4877461
Accuracy: 0.9858184411930716
1-10%
precision recall f1-score support
0 0.82 0.63 0.71 16949103
1 0.47 0.70 0.57 8016772
accuracy 0.65 24965875
macro avg 0.65 0.67 0.64 24965875
weighted avg 0.71 0.65 0.67 24965875
Accuracy: 0.6545496602862908
10-20%
precision recall f1-score support
0 0.37 0.41 0.39 2057494
1 0.77 0.74 0.75 5461156
accuracy 0.65 7518650
macro avg 0.57 0.57 0.57 7518650
weighted avg 0.66 0.65 0.65 7518650
Accuracy: 0.6473836393501493
20-40%
precision recall f1-score support
0 0.21 0.39 0.27 744974
1 0.87 0.74 0.80 4060539
accuracy 0.68 4805513
macro avg 0.54 0.56 0.54 4805513
weighted avg 0.77 0.68 0.72 4805513
Accuracy: 0.6846078660072296
40-80%
precision recall f1-score support
0 0.12 0.38 0.18 235909
1 0.93 0.74 0.82 2483775
accuracy 0.71 2719684
macro avg 0.52 0.56 0.50 2719684
weighted avg 0.86 0.71 0.77 2719684
Accuracy: 0.7055860166107533
80-90%
precision recall f1-score support
0 0.08 0.38 0.13 18577
1 0.95 0.73 0.83 296772
accuracy 0.71 315349
macro avg 0.52 0.56 0.48 315349
weighted avg 0.90 0.71 0.79 315349
Accuracy: 0.7122553107826567
90-100%
precision recall f1-score support
0 0.08 0.39 0.13 13620
1 0.95 0.73 0.83 240209
accuracy 0.72 253829
macro avg 0.52 0.56 0.48 253829
weighted avg 0.91 0.72 0.79 253829
Accuracy: 0.7150758975530771
0.4
Treshold: 0.6
All
precision recall f1-score support
0 0.79 0.66 0.72 22531902
1 0.63 0.77 0.69 16938696
accuracy 0.71 39470598
macro avg 0.71 0.71 0.70 39470598
weighted avg 0.72 0.71 0.71 39470598
Accuracy: 0.7054521190684773
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9998161289136316
1-10%
precision recall f1-score support
0 0.96 0.76 0.85 11439888
1 0.25 0.74 0.38 1271288
accuracy 0.76 12711176
macro avg 0.61 0.75 0.61 12711176
weighted avg 0.89 0.76 0.80 12711176
Accuracy: 0.758062511289278
10-20%
precision recall f1-score support
0 0.74 0.51 0.61 5044441
1 0.54 0.77 0.64 3812372
accuracy 0.62 8856813
macro avg 0.64 0.64 0.62 8856813
weighted avg 0.66 0.62 0.62 8856813
Accuracy: 0.6216626680500085
20-40%
precision recall f1-score support
0 0.52 0.46 0.49 2995598
1 0.73 0.77 0.75 5583215
accuracy 0.66 8578813
macro avg 0.62 0.61 0.62 8578813
weighted avg 0.65 0.66 0.66 8578813
Accuracy: 0.6626260532780001
40-80%
precision recall f1-score support
0 0.33 0.44 0.37 1295061
1 0.84 0.77 0.80 5001564
accuracy 0.70 6296625
macro avg 0.58 0.60 0.59 6296625
weighted avg 0.74 0.70 0.71 6296625
Accuracy: 0.700276100291823
80-90%
precision recall f1-score support
0 0.24 0.43 0.31 117971
1 0.89 0.76 0.82 692761
accuracy 0.72 810732
macro avg 0.56 0.60 0.56 810732
weighted avg 0.79 0.72 0.75 810732
Accuracy: 0.7156125575405929
90-100%
precision recall f1-score support
0 0.22 0.43 0.29 88944
1 0.90 0.76 0.82 577496
accuracy 0.72 666440
macro avg 0.56 0.60 0.56 666440
weighted avg 0.81 0.72 0.75 666440
Accuracy: 0.7187383710461557
LR_decay_rtime_w_0_5
0.01
Treshold: 0.6
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: 0.6
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.72 0.00 0.01 21615229
accuracy 0.55 47734596
macro avg 0.63 0.50 0.36 47734596
weighted avg 0.63 0.55 0.39 47734596
Accuracy: 0.5481426929851884
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.52 0.01 0.01 508421
accuracy 0.96 12561431
macro avg 0.74 0.50 0.50 12561431
weighted avg 0.94 0.96 0.94 12561431
Accuracy: 0.9595440201040789
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.71 0.00 0.01 14466820
accuracy 0.48 27835287
macro avg 0.60 0.50 0.33 27835287
weighted avg 0.60 0.48 0.32 27835287
Accuracy: 0.4816420610285067
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.90 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.52 0.50 0.12 3890639
weighted avg 0.80 0.13 0.03 3890639
Accuracy: 0.13073610787328252
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.95 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.51 0.50 0.07 2117913
weighted avg 0.89 0.07 0.01 2117913
Accuracy: 0.07046701162890072
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.98 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.51 0.50 0.04 1105895
weighted avg 0.94 0.04 0.00 1105895
Accuracy: 0.038072330555794176
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.93 0.00 0.00 120943
accuracy 0.03 124036
macro avg 0.48 0.50 0.02 124036
weighted avg 0.91 0.03 0.00 124036
Accuracy: 0.025250733657970266
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 1.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.51 0.50 0.02 99395
weighted avg 0.98 0.02 0.00 99395
Accuracy: 0.023673222999144827
0.2
Treshold: 0.6
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: 0.6
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: 0.6
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: 0.6
All
precision recall f1-score support
0 0.63 0.86 0.73 26119367
1 0.70 0.39 0.50 21615229
accuracy 0.65 47734596
macro avg 0.67 0.63 0.62 47734596
weighted avg 0.66 0.65 0.63 47734596
Accuracy: 0.6482876905462864
0-1%
precision recall f1-score support
0 0.97 0.97 0.97 12053010
1 0.29 0.27 0.28 508421
accuracy 0.94 12561431
macro avg 0.63 0.62 0.63 12561431
weighted avg 0.94 0.94 0.94 12561431
Accuracy: 0.9436225060663869
1-10%
precision recall f1-score support
0 0.54 0.77 0.63 13368467
1 0.65 0.39 0.49 14466820
accuracy 0.57 27835287
macro avg 0.59 0.58 0.56 27835287
weighted avg 0.60 0.57 0.56 27835287
Accuracy: 0.5729525619764582
10-20%
precision recall f1-score support
0 0.14 0.64 0.23 503365
1 0.88 0.41 0.56 3387274
accuracy 0.44 3890639
macro avg 0.51 0.52 0.39 3890639
weighted avg 0.79 0.44 0.52 3890639
Accuracy: 0.4391196407582405
20-40%
precision recall f1-score support
0 0.07 0.64 0.13 147488
1 0.94 0.40 0.57 1970425
accuracy 0.42 2117913
macro avg 0.51 0.52 0.35 2117913
weighted avg 0.88 0.42 0.54 2117913
Accuracy: 0.42082984522971434
40-80%
precision recall f1-score support
0 0.04 0.64 0.08 41616
1 0.97 0.40 0.57 1064279
accuracy 0.41 1105895
macro avg 0.50 0.52 0.32 1105895
weighted avg 0.93 0.41 0.55 1105895
Accuracy: 0.4104621143960322
80-90%
precision recall f1-score support
0 0.03 0.66 0.05 3093
1 0.98 0.40 0.57 120943
accuracy 0.41 124036
macro avg 0.50 0.53 0.31 124036
weighted avg 0.95 0.41 0.56 124036
Accuracy: 0.40684156212712436
90-100%
precision recall f1-score support
0 0.02 0.63 0.05 2328
1 0.98 0.40 0.57 97067
accuracy 0.40 99395
macro avg 0.50 0.51 0.31 99395
weighted avg 0.96 0.40 0.55 99395
Accuracy: 0.40318929523617886
0.2
Treshold: 0.6
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: 0.6
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: 0.6
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: 0.6
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: 0.6
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: 0.6
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: 0.6
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: 0.6
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: 0.6
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: 0.6
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: 0.6
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: 0.6
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: 0.6
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: 0.6
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_7_w_0_5[cache_size=0.01,treshold=0.6] | 9504407 | 0.405077 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 10440936 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.6] | 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=0.6] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 10440857 | 0.405174 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 8331243 | 0.405572 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 8331236 | 0.405583 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 8330528 | 0.405586 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.6] | 7836788 | 0.40828 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 6918244 | 0.408467 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 6916945 | 0.408473 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 6915363 | 0.408478 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.6] | 5395897 | 0.413662 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.6] | 5395433 | 0.413663 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 5394390 | 0.41367 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.6] | 5624188 | 0.415091 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.6] | 5603042 | 0.415147 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.6] | 5577121 | 0.415205 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.6] | 6734228 | 0.416334 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.6] | 6613680 | 0.416755 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 6555803 | 0.416964 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | 5951926 | 0.421107 | ../../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_5[cache_size=0.1,treshold=0.6] | 9125045 | 0.213803 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 10273542 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| Offline Clock 1st iteration | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.6] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 10272540 | 0.213819 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 10272602 | 0.213819 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 10272673 | 0.213819 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 10270618 | 0.213823 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 10270596 | 0.213823 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 10269569 | 0.213824 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.6] | 7247795 | 0.216211 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 7365978 | 0.216706 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 7382195 | 0.216717 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 7376944 | 0.216717 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 8207953 | 0.218682 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.6] | 5362457 | 0.220694 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.6] | 5358127 | 0.220695 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.6] | 5360087 | 0.220696 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.6] | 4737250 | 0.22218 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.6] | 4734029 | 0.22219 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 4733150 | 0.222191 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.6] | 6313074 | 0.223174 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.6] | 6304059 | 0.2232 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 6293267 | 0.223231 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | 5377652 | 0.224473 | ../../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_5[cache_size=0.2,treshold=0.6] | 8954715 | 0.152718 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 10000203 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| Offline Clock 1st iteration | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.6] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 10000312 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 9732834 | 0.153175 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 9713966 | 0.153207 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 9680521 | 0.153255 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.6] | 7120262 | 0.15423 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 7232291 | 0.155173 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.6] | 5229392 | 0.157674 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.6] | 5226757 | 0.157678 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.6] | 5227411 | 0.157682 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.6] | 6040582 | 0.160527 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 6035426 | 0.16054 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.6] | 6031811 | 0.160549 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | 4696286 | 0.163388 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.6] | 4356984 | 0.164048 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 4353128 | 0.164057 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.6] | 4347879 | 0.164066 | ../../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_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 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_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.6] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 9132960 | 0.0898524 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.6] | 8537633 | 0.0898543 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 9127353 | 0.089857 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 9125886 | 0.0898588 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 9122289 | 0.0898623 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 9119738 | 0.0898644 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 9116772 | 0.0898674 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.6] | 7072413 | 0.090343 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.6] | 4885936 | 0.0923636 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.6] | 4886072 | 0.0923637 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.6] | 4886450 | 0.0923637 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.6] | 5443960 | 0.0949 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.6] | 5443291 | 0.0949008 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 5441395 | 0.0949039 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.6] | 5428568 | 0.0949253 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 5428111 | 0.0949261 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.6] | 5427760 | 0.0949267 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | 4022189 | 0.0976843 | ../../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_7_w_0_5[cache_size=0.01,treshold=0.6] | 9499625 | 0.40526 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 10437608 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.6] | 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=0.6] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 10437506 | 0.405348 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 8326850 | 0.405756 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 8327166 | 0.405763 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 8326462 | 0.405766 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.6] | 7834799 | 0.408448 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 6916002 | 0.408634 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 6915047 | 0.40864 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 6913603 | 0.408645 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.6] | 5391766 | 0.413825 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.6] | 5391977 | 0.413827 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 5390735 | 0.413832 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.6] | 5622068 | 0.415253 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.6] | 5600263 | 0.415314 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.6] | 5574530 | 0.415374 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.6] | 6733777 | 0.416491 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.6] | 6613943 | 0.416905 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 6555117 | 0.417117 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | 5949888 | 0.421275 | ../../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_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| Offline Clock 1st iteration | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.6] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 10273532 | 0.213985 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 10273595 | 0.213985 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 10273648 | 0.213985 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.6] | 9125193 | 0.213987 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 10271794 | 0.213989 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 10271755 | 0.213989 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 10270799 | 0.21399 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.6] | 7248211 | 0.216368 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 7364218 | 0.216881 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 7375330 | 0.216894 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 7380065 | 0.216898 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 8212051 | 0.218836 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.6] | 5362692 | 0.220857 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.6] | 5358593 | 0.220859 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.6] | 5360305 | 0.22086 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.6] | 4738193 | 0.222326 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.6] | 4735021 | 0.222335 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 4733840 | 0.222338 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.6] | 6318541 | 0.223323 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.6] | 6309387 | 0.22335 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 6298342 | 0.223385 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | 5380365 | 0.224623 | ../../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_5[cache_size=0.2,treshold=0.6] | 8966724 | 0.152807 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 10010326 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| Offline Clock 1st iteration | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.6] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 10010432 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 9746351 | 0.153262 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 9728236 | 0.15329 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 9696606 | 0.153341 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.6] | 7127190 | 0.154333 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 7238923 | 0.155277 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.6] | 5236734 | 0.157779 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.6] | 5233863 | 0.157783 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.6] | 5234636 | 0.157786 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.6] | 6044601 | 0.160647 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 6039481 | 0.160661 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.6] | 6035935 | 0.160669 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | 4701991 | 0.163493 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.6] | 4361733 | 0.164157 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 4357859 | 0.164165 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.6] | 4352832 | 0.164175 | ../../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_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 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_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.6] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 9144740 | 0.0898567 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 9139134 | 0.0898628 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 9137767 | 0.0898644 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 9133902 | 0.0898684 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 9131014 | 0.0898716 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 9128188 | 0.0898745 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.6] | 8544796 | 0.0898812 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.6] | 7083588 | 0.0903566 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.6] | 4894579 | 0.0923771 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.6] | 4894969 | 0.0923773 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.6] | 4894672 | 0.0923775 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.6] | 5452787 | 0.0949107 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.6] | 5452024 | 0.094912 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 5450060 | 0.0949163 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.6] | 5437415 | 0.0949367 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 5436795 | 0.0949382 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.6] | 5436522 | 0.0949385 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | 4028109 | 0.0976989 | ../../result/log/zipf_1_16 | 0.4 | 1 |
zipf_1_17
Ignore Obj Size
0.01
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 6046350 | 0.403777 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| Zipf Optimal Distribution | 9518366 | 0.404457 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.6] | 9500821 | 0.405148 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 10439539 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.6] | 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=0.6] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 10439450 | 0.405243 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 8328041 | 0.405643 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 8328479 | 0.405649 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 8327732 | 0.405652 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.6] | 7836914 | 0.408333 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 6917199 | 0.408528 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 6916123 | 0.408533 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 6914956 | 0.408539 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.6] | 5395395 | 0.413709 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.6] | 5395990 | 0.413711 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 5394726 | 0.413716 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.6] | 5625900 | 0.41513 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.6] | 5604181 | 0.415189 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.6] | 5578573 | 0.415244 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.6] | 6735183 | 0.416378 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.6] | 6615081 | 0.416793 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 6556563 | 0.417008 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | 5952343 | 0.421169 | ../../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_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 10272629 | 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_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.6] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 10271597 | 0.213854 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 10271650 | 0.213854 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 10271706 | 0.213854 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 10269910 | 0.213857 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 10269955 | 0.213857 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.6] | 9121962 | 0.213858 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 10268924 | 0.213858 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.6] | 7245609 | 0.216245 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 7359868 | 0.216771 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 7370996 | 0.216784 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 7375457 | 0.216786 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 8208596 | 0.218706 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.6] | 5359842 | 0.220738 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.6] | 5356076 | 0.220739 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.6] | 5357644 | 0.220741 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.6] | 4738449 | 0.222188 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.6] | 4735201 | 0.222198 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 4734409 | 0.2222 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.6] | 6309030 | 0.223228 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.6] | 6300211 | 0.223253 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 6289254 | 0.223285 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | 5375344 | 0.224522 | ../../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_5[cache_size=0.2,treshold=0.6] | 8960128 | 0.152738 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 10002641 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| Offline Clock 1st iteration | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.6] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 10002790 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 9734899 | 0.153213 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 9717252 | 0.15324 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 9685110 | 0.15329 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.6] | 7122856 | 0.15426 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 7231507 | 0.155212 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.6] | 5231447 | 0.157695 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.6] | 5227521 | 0.157699 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.6] | 5228704 | 0.157703 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.6] | 6036959 | 0.160581 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 6032244 | 0.160593 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.6] | 6028506 | 0.160602 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | 4697984 | 0.163428 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.6] | 4357895 | 0.164091 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 4354036 | 0.164098 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.6] | 4348719 | 0.164108 | ../../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_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 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_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.6] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 9140590 | 0.0898125 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 9134838 | 0.0898188 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 9133405 | 0.0898207 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 9129884 | 0.0898245 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 9126852 | 0.0898284 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 9124191 | 0.0898314 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.6] | 8542602 | 0.0898437 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.6] | 7076669 | 0.0903462 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.6] | 4888938 | 0.0923504 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.6] | 4889390 | 0.0923506 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.6] | 4889127 | 0.0923508 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.6] | 5447795 | 0.0948853 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.6] | 5447141 | 0.0948863 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 5445326 | 0.0948899 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.6] | 5432304 | 0.0949123 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 5431793 | 0.0949135 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.6] | 5431443 | 0.0949136 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | 4026445 | 0.097665 | ../../result/log/zipf_1_17 | 0.4 | 1 |
zipf_1_18
Ignore Obj Size
0.01
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 6046061 | 0.40372 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| Zipf Optimal Distribution | 9518058 | 0.404413 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.6] | 9503273 | 0.405102 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 10439716 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 10439613 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.6] | 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=0.6] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 8329579 | 0.405586 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 8329974 | 0.405595 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 8329380 | 0.405596 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.6] | 7837368 | 0.408283 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 6919169 | 0.40846 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 6917789 | 0.408467 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 6916499 | 0.40847 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.6] | 5391546 | 0.413664 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.6] | 5392025 | 0.413664 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 5390439 | 0.413671 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.6] | 5625647 | 0.415084 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.6] | 5603976 | 0.415143 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.6] | 5577903 | 0.4152 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.6] | 6736280 | 0.41633 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.6] | 6616555 | 0.416744 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 6558117 | 0.416954 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | 5952093 | 0.421119 | ../../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_5[cache_size=0.1,treshold=0.6] | 9117910 | 0.213816 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 10268390 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| Offline Clock 1st iteration | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.6] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 10267391 | 0.213823 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 10267445 | 0.213823 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 10267498 | 0.213823 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 10265766 | 0.213826 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 10265719 | 0.213826 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 10264796 | 0.213827 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.6] | 7246270 | 0.216207 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 7362339 | 0.216707 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 7373428 | 0.216722 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 7378247 | 0.216723 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 8205983 | 0.218665 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.6] | 5359661 | 0.220687 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.6] | 5363327 | 0.220687 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.6] | 5361294 | 0.220688 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.6] | 4741084 | 0.222144 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.6] | 4737750 | 0.222154 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 4736931 | 0.222155 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.6] | 6310574 | 0.223174 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.6] | 6301429 | 0.2232 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 6290318 | 0.223233 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | 5378521 | 0.22446 | ../../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_5[cache_size=0.2,treshold=0.6] | 8958412 | 0.152669 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| Offline Clock 1st iteration | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.6] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 10000989 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 10000863 | 0.152707 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 9731125 | 0.153143 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 9712664 | 0.153173 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 9677477 | 0.153217 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.6] | 7124256 | 0.154171 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 7232044 | 0.155134 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.6] | 5230219 | 0.157625 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.6] | 5227751 | 0.157629 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.6] | 5228225 | 0.157633 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.6] | 6037496 | 0.160511 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 6032945 | 0.160522 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.6] | 6029208 | 0.160532 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | 4696106 | 0.163353 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.6] | 4358289 | 0.164 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 4354357 | 0.16401 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.6] | 4348912 | 0.164022 | ../../result/log/zipf_1_18 | 0.2 | 1 |
0.4
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5223361 | 0.0826611 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| Zipf Optimal Distribution | 7661309 | 0.0866641 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 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=0.6] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.6] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 9134443 | 0.0897668 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 9129080 | 0.0897711 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 9127796 | 0.0897718 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 9123854 | 0.0897756 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 9121194 | 0.0897778 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 9118356 | 0.0897802 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.6] | 8541240 | 0.0897861 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.6] | 7071600 | 0.0902846 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.6] | 4884896 | 0.0922985 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.6] | 4884998 | 0.0922988 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.6] | 4885257 | 0.0922992 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.6] | 5440870 | 0.0948423 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.6] | 5440331 | 0.0948431 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 5438445 | 0.0948469 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.6] | 5425937 | 0.094869 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 5425339 | 0.0948704 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.6] | 5425052 | 0.0948708 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | 4021280 | 0.0976172 | ../../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_7_w_0_5[cache_size=0.01,treshold=0.6] | 9504429 | 0.40516 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 10442777 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.6] | 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=0.6] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] | 10442678 | 0.405257 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 8328686 | 0.405651 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 8328901 | 0.405658 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] | 8328073 | 0.405661 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.6] | 7838599 | 0.408341 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 6917008 | 0.408525 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 6915836 | 0.408529 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] | 6914435 | 0.408534 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.6] | 5394297 | 0.413707 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.6] | 5394857 | 0.413707 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 5393299 | 0.413714 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.6] | 5626394 | 0.415125 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.6] | 5605240 | 0.415182 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.6] | 5578484 | 0.415245 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.6] | 6739492 | 0.416374 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.6] | 6618972 | 0.416793 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 6559818 | 0.417008 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | 5953935 | 0.421167 | ../../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_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 10270641 | 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_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.6] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 10269653 | 0.213884 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 10269702 | 0.213884 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] | 10269756 | 0.213884 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 10268003 | 0.213887 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 10268048 | 0.213887 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.6] | 9121423 | 0.213888 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] | 10267105 | 0.213888 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.6] | 7245985 | 0.216268 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 7362596 | 0.216784 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 7373487 | 0.216798 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 7378245 | 0.2168 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] | 8208176 | 0.218733 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.6] | 5361338 | 0.220758 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.6] | 5359165 | 0.220761 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.6] | 5357160 | 0.220761 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.6] | 4740122 | 0.222219 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.6] | 4737502 | 0.222224 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 4736635 | 0.222227 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.6] | 6314367 | 0.223239 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.6] | 6304920 | 0.223266 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 6294254 | 0.223297 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | 5379727 | 0.224537 | ../../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_5[cache_size=0.2,treshold=0.6] | 8963623 | 0.152749 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| Offline Clock 1st iteration | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.6] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] | 10003399 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 10003304 | 0.152792 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 9736194 | 0.153226 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 9718350 | 0.153254 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] | 9686542 | 0.153302 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.6] | 7122669 | 0.154279 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] | 7236022 | 0.155212 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.6] | 5231219 | 0.157735 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.6] | 5228001 | 0.15774 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.6] | 5228702 | 0.157744 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.6] | 6040435 | 0.16059 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 6035527 | 0.160602 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.6] | 6031708 | 0.160611 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | 4697660 | 0.163434 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.6] | 4358524 | 0.164088 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 4354820 | 0.164095 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.6] | 4349662 | 0.164106 | ../../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_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 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_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.6] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 9142308 | 0.0898059 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 9137015 | 0.0898105 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] | 9135706 | 0.0898118 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 9131857 | 0.0898156 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 9129103 | 0.0898186 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] | 9126339 | 0.0898221 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.6] | 8546144 | 0.0898246 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.6] | 7078806 | 0.0903325 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.6] | 4891710 | 0.0923776 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.6] | 4891576 | 0.0923777 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.6] | 4892065 | 0.0923778 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.6] | 5449365 | 0.0948911 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.6] | 5448824 | 0.0948916 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 5447047 | 0.0948944 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.6] | 5433646 | 0.0949202 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 5433109 | 0.094921 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.6] | 5432704 | 0.0949214 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | 4025183 | 0.0976775 | ../../result/log/zipf_1_19 | 0.4 | 1 |