Zipf1 Models that use ObjID Test Data Result Obj Size Ignored
Result
Model Summaries
| Model | Better than base % of the times |
|---|
| LR_7_id[cache_size=0.01,treshold=0.3] | 0 |
| LR_7_id[cache_size=0.01,treshold=0.5] | 0 |
| LR_7_id[cache_size=0.01,treshold=0.6] | 0 |
| LR_7_id[cache_size=0.01,treshold=0.7] | 0 |
| LR_7_id[cache_size=0.01,treshold=0.8] | 100 |
| LR_7_id[cache_size=0.01,treshold=0.9] | 100 |
| LR_8_id[cache_size=0.01,treshold=0.3] | 0 |
| LR_8_id[cache_size=0.01,treshold=0.5] | 0 |
| LR_8_id[cache_size=0.01,treshold=0.6] | 0 |
| LR_8_id[cache_size=0.01,treshold=0.7] | 0 |
| LR_8_id[cache_size=0.01,treshold=0.8] | 100 |
| LR_8_id[cache_size=0.01,treshold=0.9] | 100 |
| LR_9_id[cache_size=0.01,treshold=0.3] | 0 |
| LR_9_id[cache_size=0.01,treshold=0.5] | 0 |
| LR_9_id[cache_size=0.01,treshold=0.6] | 0 |
| LR_9_id[cache_size=0.01,treshold=0.7] | 0 |
| LR_9_id[cache_size=0.01,treshold=0.8] | 100 |
| LR_9_id[cache_size=0.01,treshold=0.9] | 100 |
| LR_id[cache_size=0.01,treshold=0.3] | 0 |
| LR_id[cache_size=0.01,treshold=0.5] | 0 |
| LR_id[cache_size=0.01,treshold=0.6] | 0 |
| LR_id[cache_size=0.01,treshold=0.7] | 100 |
| LR_id[cache_size=0.01,treshold=0.8] | 100 |
| LR_id[cache_size=0.01,treshold=0.9] | 100 |
| LR_7_id[cache_size=0.1,treshold=0.3] | 0 |
| LR_7_id[cache_size=0.1,treshold=0.5] | 0 |
| LR_7_id[cache_size=0.1,treshold=0.6] | 0 |
| LR_7_id[cache_size=0.1,treshold=0.7] | 100 |
| LR_7_id[cache_size=0.1,treshold=0.8] | 100 |
| LR_7_id[cache_size=0.1,treshold=0.9] | 100 |
| LR_8_id[cache_size=0.1,treshold=0.3] | 0 |
| LR_8_id[cache_size=0.1,treshold=0.5] | 0 |
| LR_8_id[cache_size=0.1,treshold=0.6] | 0 |
| LR_8_id[cache_size=0.1,treshold=0.7] | 100 |
| LR_8_id[cache_size=0.1,treshold=0.8] | 100 |
| LR_8_id[cache_size=0.1,treshold=0.9] | 100 |
| LR_9_id[cache_size=0.1,treshold=0.3] | 0 |
| LR_9_id[cache_size=0.1,treshold=0.5] | 0 |
| LR_9_id[cache_size=0.1,treshold=0.6] | 0 |
| LR_9_id[cache_size=0.1,treshold=0.7] | 100 |
| LR_9_id[cache_size=0.1,treshold=0.8] | 100 |
| LR_9_id[cache_size=0.1,treshold=0.9] | 100 |
| LR_id[cache_size=0.1,treshold=0.3] | 0 |
| LR_id[cache_size=0.1,treshold=0.5] | 100 |
| LR_id[cache_size=0.1,treshold=0.6] | 100 |
| LR_id[cache_size=0.1,treshold=0.7] | 100 |
| LR_id[cache_size=0.1,treshold=0.8] | 100 |
| LR_id[cache_size=0.1,treshold=0.9] | 100 |
| LR_7_id[cache_size=0.2,treshold=0.3] | 0 |
| LR_7_id[cache_size=0.2,treshold=0.5] | 0 |
| LR_7_id[cache_size=0.2,treshold=0.6] | 0 |
| LR_7_id[cache_size=0.2,treshold=0.7] | 100 |
| LR_7_id[cache_size=0.2,treshold=0.8] | 100 |
| LR_7_id[cache_size=0.2,treshold=0.9] | 100 |
| LR_8_id[cache_size=0.2,treshold=0.3] | 0 |
| LR_8_id[cache_size=0.2,treshold=0.5] | 0 |
| LR_8_id[cache_size=0.2,treshold=0.6] | 0 |
| LR_8_id[cache_size=0.2,treshold=0.7] | 100 |
| LR_8_id[cache_size=0.2,treshold=0.8] | 100 |
| LR_8_id[cache_size=0.2,treshold=0.9] | 100 |
| LR_9_id[cache_size=0.2,treshold=0.3] | 0 |
| LR_9_id[cache_size=0.2,treshold=0.5] | 0 |
| LR_9_id[cache_size=0.2,treshold=0.6] | 0 |
| LR_9_id[cache_size=0.2,treshold=0.7] | 100 |
| LR_9_id[cache_size=0.2,treshold=0.8] | 100 |
| LR_9_id[cache_size=0.2,treshold=0.9] | 100 |
| LR_id[cache_size=0.2,treshold=0.3] | 0 |
| LR_id[cache_size=0.2,treshold=0.5] | 100 |
| LR_id[cache_size=0.2,treshold=0.6] | 100 |
| LR_id[cache_size=0.2,treshold=0.7] | 100 |
| LR_id[cache_size=0.2,treshold=0.8] | 100 |
| LR_id[cache_size=0.2,treshold=0.9] | 100 |
| LR_7_id[cache_size=0.4,treshold=0.3] | 0 |
| LR_7_id[cache_size=0.4,treshold=0.5] | 0 |
| LR_7_id[cache_size=0.4,treshold=0.6] | 100 |
| LR_7_id[cache_size=0.4,treshold=0.7] | 100 |
| LR_7_id[cache_size=0.4,treshold=0.8] | 100 |
| LR_7_id[cache_size=0.4,treshold=0.9] | 100 |
| LR_8_id[cache_size=0.4,treshold=0.3] | 0 |
| LR_8_id[cache_size=0.4,treshold=0.5] | 0 |
| LR_8_id[cache_size=0.4,treshold=0.6] | 100 |
| LR_8_id[cache_size=0.4,treshold=0.7] | 100 |
| LR_8_id[cache_size=0.4,treshold=0.8] | 100 |
| LR_8_id[cache_size=0.4,treshold=0.9] | 100 |
| LR_9_id[cache_size=0.4,treshold=0.3] | 0 |
| LR_9_id[cache_size=0.4,treshold=0.5] | 0 |
| LR_9_id[cache_size=0.4,treshold=0.6] | 100 |
| LR_9_id[cache_size=0.4,treshold=0.7] | 100 |
| LR_9_id[cache_size=0.4,treshold=0.8] | 100 |
| LR_9_id[cache_size=0.4,treshold=0.9] | 100 |
| LR_id[cache_size=0.4,treshold=0.3] | 0 |
| LR_id[cache_size=0.4,treshold=0.5] | 100 |
| LR_id[cache_size=0.4,treshold=0.6] | 100 |
| LR_id[cache_size=0.4,treshold=0.7] | 100 |
| LR_id[cache_size=0.4,treshold=0.8] | 100 |
| LR_id[cache_size=0.4,treshold=0.9] | 100 |
| Offline Clock 1st iteration | 0 |
| Offline Clock 2nd iteration | 100 |
| Zipf Optimal Distribution | 100 |
| Model | Max | Min | Avg | Mdn |
|---|
| LR_7_id[cache_size=0.01,treshold=0.3] | 70.4766 | 70.4548 | 70.4701 | 70.4748 |
| LR_7_id[cache_size=0.01,treshold=0.5] | 48.7371 | 48.712 | 48.7279 | 48.7291 |
| LR_7_id[cache_size=0.01,treshold=0.6] | 34.9871 | 34.9557 | 34.9701 | 34.9634 |
| LR_7_id[cache_size=0.01,treshold=0.7] | 22.9618 | 22.9286 | 22.9407 | 22.9334 |
| LR_7_id[cache_size=0.01,treshold=0.8] | 15.2199 | 15.1914 | 15.2063 | 15.2028 |
| LR_7_id[cache_size=0.01,treshold=0.9] | 9.87983 | 9.83756 | 9.85397 | 9.84721 |
| LR_8_id[cache_size=0.01,treshold=0.3] | 70.5124 | 70.4844 | 70.5017 | 70.506 |
| LR_8_id[cache_size=0.01,treshold=0.5] | 48.757 | 48.7355 | 48.7494 | 48.753 |
| LR_8_id[cache_size=0.01,treshold=0.6] | 34.8832 | 34.855 | 34.8694 | 34.8663 |
| LR_8_id[cache_size=0.01,treshold=0.7] | 22.8956 | 22.8641 | 22.8741 | 22.8659 |
| LR_8_id[cache_size=0.01,treshold=0.8] | 15.2044 | 15.1773 | 15.1912 | 15.1877 |
| LR_8_id[cache_size=0.01,treshold=0.9] | 9.88358 | 9.84083 | 9.85818 | 9.85241 |
| LR_9_id[cache_size=0.01,treshold=0.3] | 70.5873 | 70.5618 | 70.5777 | 70.5787 |
| LR_9_id[cache_size=0.01,treshold=0.5] | 48.7327 | 48.7094 | 48.7249 | 48.7273 |
| LR_9_id[cache_size=0.01,treshold=0.6] | 34.6955 | 34.6667 | 34.6808 | 34.6826 |
| LR_9_id[cache_size=0.01,treshold=0.7] | 22.7938 | 22.7599 | 22.7714 | 22.7619 |
| LR_9_id[cache_size=0.01,treshold=0.8] | 15.1863 | 15.1586 | 15.1723 | 15.1701 |
| LR_9_id[cache_size=0.01,treshold=0.9] | 9.89598 | 9.85221 | 9.86908 | 9.86369 |
| LR_id[cache_size=0.01,treshold=0.3] | 67.5719 | 67.5541 | 67.564 | 67.5634 |
| LR_id[cache_size=0.01,treshold=0.5] | 32.2969 | 32.2541 | 32.2723 | 32.2721 |
| LR_id[cache_size=0.01,treshold=0.6] | 25.2915 | 25.2496 | 25.2618 | 25.2535 |
| LR_id[cache_size=0.01,treshold=0.7] | 20.3677 | 20.3232 | 20.339 | 20.3359 |
| LR_id[cache_size=0.01,treshold=0.8] | 16.3995 | 16.3745 | 16.3887 | 16.3857 |
| LR_id[cache_size=0.01,treshold=0.9] | 12.6771 | 12.6399 | 12.6581 | 12.6583 |
| LR_7_id[cache_size=0.1,treshold=0.3] | 71.052 | 71.0291 | 71.0385 | 71.0297 |
| LR_7_id[cache_size=0.1,treshold=0.5] | 50.6339 | 50.555 | 50.601 | 50.6118 |
| LR_7_id[cache_size=0.1,treshold=0.6] | 36.9321 | 36.8687 | 36.896 | 36.8903 |
| LR_7_id[cache_size=0.1,treshold=0.7] | 23.5953 | 23.5246 | 23.5533 | 23.5441 |
| LR_7_id[cache_size=0.1,treshold=0.8] | 14.7947 | 14.7467 | 14.7701 | 14.7595 |
| LR_7_id[cache_size=0.1,treshold=0.9] | 9.05582 | 9.02544 | 9.03969 | 9.03634 |
| LR_8_id[cache_size=0.1,treshold=0.3] | 71.036 | 71.0119 | 71.0216 | 71.0133 |
| LR_8_id[cache_size=0.1,treshold=0.5] | 50.6249 | 50.5436 | 50.5903 | 50.6011 |
| LR_8_id[cache_size=0.1,treshold=0.6] | 36.9317 | 36.8697 | 36.8964 | 36.8919 |
| LR_8_id[cache_size=0.1,treshold=0.7] | 23.6 | 23.5286 | 23.5571 | 23.5474 |
| LR_8_id[cache_size=0.1,treshold=0.8] | 14.7962 | 14.7477 | 14.7713 | 14.7608 |
| LR_8_id[cache_size=0.1,treshold=0.9] | 9.05591 | 9.02577 | 9.04009 | 9.03697 |
| LR_9_id[cache_size=0.1,treshold=0.3] | 71.0591 | 71.0348 | 71.0446 | 71.0358 |
| LR_9_id[cache_size=0.1,treshold=0.5] | 50.6152 | 50.539 | 50.5837 | 50.5947 |
| LR_9_id[cache_size=0.1,treshold=0.6] | 36.8939 | 36.8324 | 36.8594 | 36.8537 |
| LR_9_id[cache_size=0.1,treshold=0.7] | 23.571 | 23.5006 | 23.5296 | 23.5205 |
| LR_9_id[cache_size=0.1,treshold=0.8] | 14.7934 | 14.7459 | 14.7686 | 14.7578 |
| LR_9_id[cache_size=0.1,treshold=0.9] | 9.06045 | 9.02917 | 9.04395 | 9.0408 |
| LR_id[cache_size=0.1,treshold=0.3] | 68.758 | 68.7426 | 68.7498 | 68.7494 |
| LR_id[cache_size=0.1,treshold=0.5] | 33.0657 | 33.0085 | 33.037 | 33.0343 |
| LR_id[cache_size=0.1,treshold=0.6] | 25.5799 | 25.5051 | 25.5405 | 25.5375 |
| LR_id[cache_size=0.1,treshold=0.7] | 20.2831 | 20.2259 | 20.2532 | 20.2478 |
| LR_id[cache_size=0.1,treshold=0.8] | 16.021 | 15.9748 | 15.9931 | 15.9815 |
| LR_id[cache_size=0.1,treshold=0.9] | 12.004 | 11.9661 | 11.988 | 11.9846 |
| LR_7_id[cache_size=0.2,treshold=0.3] | 71.1121 | 71.0744 | 71.0982 | 71.0998 |
| LR_7_id[cache_size=0.2,treshold=0.5] | 51.5244 | 51.498 | 51.5158 | 51.5201 |
| LR_7_id[cache_size=0.2,treshold=0.6] | 38.1725 | 38.1474 | 38.1612 | 38.1593 |
| LR_7_id[cache_size=0.2,treshold=0.7] | 24.311 | 24.27 | 24.2932 | 24.2965 |
| LR_7_id[cache_size=0.2,treshold=0.8] | 14.6551 | 14.6253 | 14.6428 | 14.6523 |
| LR_7_id[cache_size=0.2,treshold=0.9] | 8.25004 | 8.21126 | 8.22748 | 8.22647 |
| LR_8_id[cache_size=0.2,treshold=0.3] | 71.118 | 71.0804 | 71.1035 | 71.1053 |
| LR_8_id[cache_size=0.2,treshold=0.5] | 51.5361 | 51.5086 | 51.5261 | 51.5302 |
| LR_8_id[cache_size=0.2,treshold=0.6] | 38.184 | 38.1598 | 38.1722 | 38.1677 |
| LR_8_id[cache_size=0.2,treshold=0.7] | 24.309 | 24.2677 | 24.2912 | 24.2952 |
| LR_8_id[cache_size=0.2,treshold=0.8] | 14.6441 | 14.6149 | 14.6324 | 14.6425 |
| LR_8_id[cache_size=0.2,treshold=0.9] | 8.23822 | 8.19965 | 8.21593 | 8.21468 |
| LR_9_id[cache_size=0.2,treshold=0.3] | 71.1289 | 71.0906 | 71.1144 | 71.1161 |
| LR_9_id[cache_size=0.2,treshold=0.5] | 51.5331 | 51.5055 | 51.524 | 51.5294 |
| LR_9_id[cache_size=0.2,treshold=0.6] | 38.1695 | 38.1446 | 38.1582 | 38.1561 |
| LR_9_id[cache_size=0.2,treshold=0.7] | 24.2964 | 24.2559 | 24.279 | 24.2824 |
| LR_9_id[cache_size=0.2,treshold=0.8] | 14.642 | 14.6145 | 14.631 | 14.6409 |
| LR_9_id[cache_size=0.2,treshold=0.9] | 8.24034 | 8.20171 | 8.21821 | 8.21678 |
| LR_id[cache_size=0.2,treshold=0.3] | 68.983 | 68.9583 | 68.9711 | 68.9722 |
| LR_id[cache_size=0.2,treshold=0.5] | 34.0538 | 34.0322 | 34.0401 | 34.0395 |
| LR_id[cache_size=0.2,treshold=0.6] | 26.0483 | 26.0218 | 26.038 | 26.0415 |
| LR_id[cache_size=0.2,treshold=0.7] | 20.3334 | 20.2822 | 20.3176 | 20.3307 |
| LR_id[cache_size=0.2,treshold=0.8] | 15.6345 | 15.5894 | 15.6163 | 15.6231 |
| LR_id[cache_size=0.2,treshold=0.9] | 11.2516 | 11.2083 | 11.2311 | 11.2324 |
| LR_7_id[cache_size=0.4,treshold=0.3] | 71.3111 | 71.2973 | 71.3027 | 71.3027 |
| LR_7_id[cache_size=0.4,treshold=0.5] | 53.8065 | 53.751 | 53.7721 | 53.7617 |
| LR_7_id[cache_size=0.4,treshold=0.6] | 41.44 | 41.3888 | 41.4208 | 41.4243 |
| LR_7_id[cache_size=0.4,treshold=0.7] | 26.7325 | 26.6742 | 26.701 | 26.695 |
| LR_7_id[cache_size=0.4,treshold=0.8] | 14.4256 | 14.3884 | 14.4066 | 14.4071 |
| LR_7_id[cache_size=0.4,treshold=0.9] | 6.02938 | 5.98226 | 6.00012 | 6.00029 |
| LR_8_id[cache_size=0.4,treshold=0.3] | 71.3049 | 71.2909 | 71.2963 | 71.2965 |
| LR_8_id[cache_size=0.4,treshold=0.5] | 53.79 | 53.7342 | 53.7552 | 53.7448 |
| LR_8_id[cache_size=0.4,treshold=0.6] | 41.4184 | 41.3656 | 41.3991 | 41.4021 |
| LR_8_id[cache_size=0.4,treshold=0.7] | 26.7141 | 26.6554 | 26.6826 | 26.6763 |
| LR_8_id[cache_size=0.4,treshold=0.8] | 14.4185 | 14.3823 | 14.4004 | 14.4011 |
| LR_8_id[cache_size=0.4,treshold=0.9] | 6.02859 | 5.98124 | 5.99889 | 5.99871 |
| LR_9_id[cache_size=0.4,treshold=0.3] | 71.3107 | 71.2961 | 71.3018 | 71.3016 |
| LR_9_id[cache_size=0.4,treshold=0.5] | 53.7912 | 53.7356 | 53.7563 | 53.7463 |
| LR_9_id[cache_size=0.4,treshold=0.6] | 41.4151 | 41.361 | 41.3953 | 41.399 |
| LR_9_id[cache_size=0.4,treshold=0.7] | 26.7097 | 26.6505 | 26.6774 | 26.6702 |
| LR_9_id[cache_size=0.4,treshold=0.8] | 14.4176 | 14.381 | 14.3994 | 14.4004 |
| LR_9_id[cache_size=0.4,treshold=0.9] | 6.02887 | 5.98173 | 5.9994 | 5.99905 |
| LR_id[cache_size=0.4,treshold=0.3] | 69.7399 | 69.7104 | 69.7274 | 69.7299 |
| LR_id[cache_size=0.4,treshold=0.5] | 37.7798 | 37.6454 | 37.6943 | 37.674 |
| LR_id[cache_size=0.4,treshold=0.6] | 28.361 | 28.2634 | 28.3126 | 28.314 |
| LR_id[cache_size=0.4,treshold=0.7] | 21.2947 | 21.2503 | 21.2656 | 21.2584 |
| LR_id[cache_size=0.4,treshold=0.8] | 15.1951 | 15.1541 | 15.1738 | 15.1759 |
| LR_id[cache_size=0.4,treshold=0.9] | 9.50518 | 9.49095 | 9.49727 | 9.4979 |
| 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_id[cache_size=0.01,treshold=0.3] | -5.16407 | -5.17828 | -5.168 | -5.16634 |
| LR_7_id[cache_size=0.01,treshold=0.5] | -2.30003 | -2.31383 | -2.30651 | -2.30677 |
| LR_7_id[cache_size=0.01,treshold=0.6] | -0.941757 | -0.951445 | -0.945456 | -0.944868 |
| LR_7_id[cache_size=0.01,treshold=0.7] | -0.128825 | -0.134453 | -0.130687 | -0.130068 |
| LR_7_id[cache_size=0.01,treshold=0.8] | 0.135735 | 0.130012 | 0.133204 | 0.133523 |
| LR_7_id[cache_size=0.01,treshold=0.9] | 0.19001 | 0.18774 | 0.188923 | 0.188808 |
| LR_8_id[cache_size=0.01,treshold=0.3] | -5.17179 | -5.18643 | -5.17555 | -5.17349 |
| LR_8_id[cache_size=0.01,treshold=0.5] | -2.29953 | -2.31309 | -2.30582 | -2.30578 |
| LR_8_id[cache_size=0.01,treshold=0.6] | -0.927196 | -0.937131 | -0.931193 | -0.931295 |
| LR_8_id[cache_size=0.01,treshold=0.7] | -0.123379 | -0.129025 | -0.125406 | -0.125379 |
| LR_8_id[cache_size=0.01,treshold=0.8] | 0.136723 | 0.130752 | 0.134043 | 0.13451 |
| LR_8_id[cache_size=0.01,treshold=0.9] | 0.19003 | 0.18774 | 0.188973 | 0.189055 |
| LR_9_id[cache_size=0.01,treshold=0.3] | -5.18586 | -5.20025 | -5.18947 | -5.18756 |
| LR_9_id[cache_size=0.01,treshold=0.5] | -2.28991 | -2.30321 | -2.29645 | -2.29665 |
| LR_9_id[cache_size=0.01,treshold=0.6] | -0.90227 | -0.911463 | -0.905974 | -0.906372 |
| LR_9_id[cache_size=0.01,treshold=0.7] | -0.115483 | -0.121131 | -0.117361 | -0.116987 |
| LR_9_id[cache_size=0.01,treshold=0.8] | 0.137463 | 0.131492 | 0.134931 | 0.135744 |
| LR_9_id[cache_size=0.01,treshold=0.9] | 0.19003 | 0.187987 | 0.189072 | 0.189055 |
| LR_id[cache_size=0.01,treshold=0.3] | -4.50651 | -4.52103 | -4.51092 | -4.50965 |
| LR_id[cache_size=0.01,treshold=0.5] | -0.577986 | -0.58691 | -0.583057 | -0.584438 |
| LR_id[cache_size=0.01,treshold=0.6] | -0.174235 | -0.180833 | -0.177572 | -0.177172 |
| LR_id[cache_size=0.01,treshold=0.7] | 0.0266535 | 0.0194895 | 0.0229494 | 0.0229532 |
| LR_id[cache_size=0.01,treshold=0.8] | 0.133021 | 0.125818 | 0.129996 | 0.130808 |
| LR_id[cache_size=0.01,treshold=0.9] | 0.187327 | 0.182806 | 0.185814 | 0.186796 |
| LR_7_id[cache_size=0.1,treshold=0.3] | -7.28682 | -7.30578 | -7.29356 | -7.29161 |
| LR_7_id[cache_size=0.1,treshold=0.5] | -2.83415 | -2.84917 | -2.84237 | -2.84269 |
| LR_7_id[cache_size=0.1,treshold=0.6] | -0.696845 | -0.706563 | -0.701918 | -0.702392 |
| LR_7_id[cache_size=0.1,treshold=0.7] | 0.63559 | 0.61912 | 0.626827 | 0.625751 |
| LR_7_id[cache_size=0.1,treshold=0.8] | 0.881127 | 0.871565 | 0.875575 | 0.873501 |
| LR_7_id[cache_size=0.1,treshold=0.9] | 0.741756 | 0.733685 | 0.736986 | 0.737442 |
| LR_8_id[cache_size=0.1,treshold=0.3] | -7.28214 | -7.3011 | -7.28869 | -7.286 |
| LR_8_id[cache_size=0.1,treshold=0.5] | -2.83321 | -2.8487 | -2.84162 | -2.84175 |
| LR_8_id[cache_size=0.1,treshold=0.6] | -0.698248 | -0.708901 | -0.703788 | -0.704262 |
| LR_8_id[cache_size=0.1,treshold=0.7] | 0.634187 | 0.617717 | 0.625518 | 0.624349 |
| LR_8_id[cache_size=0.1,treshold=0.8] | 0.88066 | 0.871097 | 0.875108 | 0.873034 |
| LR_8_id[cache_size=0.1,treshold=0.9] | 0.742223 | 0.733217 | 0.736893 | 0.737065 |
| LR_9_id[cache_size=0.1,treshold=0.3] | -7.28728 | -7.30672 | -7.29402 | -7.29208 |
| LR_9_id[cache_size=0.1,treshold=0.5] | -2.82947 | -2.84402 | -2.83713 | -2.83755 |
| LR_9_id[cache_size=0.1,treshold=0.6] | -0.690765 | -0.700017 | -0.695653 | -0.696317 |
| LR_9_id[cache_size=0.1,treshold=0.7] | 0.636993 | 0.62099 | 0.628323 | 0.62762 |
| LR_9_id[cache_size=0.1,treshold=0.8] | 0.881127 | 0.871565 | 0.875482 | 0.873501 |
| LR_9_id[cache_size=0.1,treshold=0.9] | 0.742223 | 0.733685 | 0.737174 | 0.737442 |
| LR_id[cache_size=0.1,treshold=0.3] | -6.19167 | -6.21139 | -6.19888 | -6.19818 |
| LR_id[cache_size=0.1,treshold=0.5] | 0.197833 | 0.183772 | 0.191986 | 0.191227 |
| LR_id[cache_size=0.1,treshold=0.6] | 0.730531 | 0.71498 | 0.722305 | 0.720696 |
| LR_id[cache_size=0.1,treshold=0.7] | 0.916204 | 0.906833 | 0.910268 | 0.909847 |
| LR_id[cache_size=0.1,treshold=0.8] | 0.945668 | 0.938032 | 0.94197 | 0.940729 |
| LR_id[cache_size=0.1,treshold=0.9] | 0.875515 | 0.86543 | 0.871647 | 0.872499 |
| LR_7_id[cache_size=0.2,treshold=0.3] | -7.86907 | -7.87808 | -7.87335 | -7.87185 |
| LR_7_id[cache_size=0.2,treshold=0.5] | -2.6534 | -2.66377 | -2.65949 | -2.6599 |
| LR_7_id[cache_size=0.2,treshold=0.6] | -0.183857 | -0.192427 | -0.189169 | -0.190456 |
| LR_7_id[cache_size=0.2,treshold=0.7] | 1.39222 | 1.3786 | 1.38663 | 1.38757 |
| LR_7_id[cache_size=0.2,treshold=0.8] | 1.55331 | 1.54043 | 1.54726 | 1.54793 |
| LR_7_id[cache_size=0.2,treshold=0.9] | 1.14998 | 1.14304 | 1.14522 | 1.14405 |
| LR_8_id[cache_size=0.2,treshold=0.3] | -7.87169 | -7.8807 | -7.87597 | -7.87446 |
| LR_8_id[cache_size=0.2,treshold=0.5] | -2.65667 | -2.66835 | -2.66316 | -2.66364 |
| LR_8_id[cache_size=0.2,treshold=0.6] | -0.187129 | -0.1957 | -0.192704 | -0.194383 |
| LR_8_id[cache_size=0.2,treshold=0.7] | 1.39222 | 1.37795 | 1.3861 | 1.38692 |
| LR_8_id[cache_size=0.2,treshold=0.8] | 1.55266 | 1.54043 | 1.5466 | 1.54727 |
| LR_8_id[cache_size=0.2,treshold=0.9] | 1.14933 | 1.14173 | 1.14405 | 1.14274 |
| LR_9_id[cache_size=0.2,treshold=0.3] | -7.87496 | -7.88332 | -7.87872 | -7.87708 |
| LR_9_id[cache_size=0.2,treshold=0.5] | -2.65406 | -2.66508 | -2.66041 | -2.66102 |
| LR_9_id[cache_size=0.2,treshold=0.6] | -0.182549 | -0.191162 | -0.188253 | -0.189802 |
| LR_9_id[cache_size=0.2,treshold=0.7] | 1.39353 | 1.37926 | 1.38781 | 1.38888 |
| LR_9_id[cache_size=0.2,treshold=0.8] | 1.55266 | 1.54043 | 1.5466 | 1.54727 |
| LR_9_id[cache_size=0.2,treshold=0.9] | 1.14933 | 1.14173 | 1.14444 | 1.14339 |
| LR_id[cache_size=0.2,treshold=0.3] | -6.38397 | -6.39149 | -6.38736 | -6.38585 |
| LR_id[cache_size=0.2,treshold=0.5] | 1.1568 | 1.14894 | 1.15242 | 1.15195 |
| LR_id[cache_size=0.2,treshold=0.6] | 1.70786 | 1.69427 | 1.70173 | 1.70239 |
| LR_id[cache_size=0.2,treshold=0.7] | 1.81329 | 1.79574 | 1.80345 | 1.8045 |
| LR_id[cache_size=0.2,treshold=0.8] | 1.70982 | 1.69266 | 1.69951 | 1.69781 |
| LR_id[cache_size=0.2,treshold=0.9] | 1.44788 | 1.43306 | 1.43978 | 1.43726 |
| LR_7_id[cache_size=0.4,treshold=0.3] | -7.59031 | -7.64869 | -7.61611 | -7.61137 |
| LR_7_id[cache_size=0.4,treshold=0.5] | -1.7667 | -1.83004 | -1.79952 | -1.79585 |
| LR_7_id[cache_size=0.4,treshold=0.6] | 1.00865 | 0.951586 | 0.982041 | 0.983666 |
| LR_7_id[cache_size=0.4,treshold=0.7] | 2.885 | 2.84918 | 2.86243 | 2.8603 |
| LR_7_id[cache_size=0.4,treshold=0.8] | 2.73469 | 2.70326 | 2.71871 | 2.71648 |
| LR_7_id[cache_size=0.4,treshold=0.9] | 1.47275 | 1.45433 | 1.46468 | 1.46673 |
| LR_8_id[cache_size=0.4,treshold=0.3] | -7.58696 | -7.64635 | -7.61319 | -7.60825 |
| LR_8_id[cache_size=0.4,treshold=0.5] | -1.75946 | -1.8238 | -1.79316 | -1.78961 |
| LR_8_id[cache_size=0.4,treshold=0.6] | 1.01645 | 0.958274 | 0.98913 | 0.991689 |
| LR_8_id[cache_size=0.4,treshold=0.7] | 2.88712 | 2.85253 | 2.86549 | 2.86331 |
| LR_8_id[cache_size=0.4,treshold=0.8] | 2.73446 | 2.70303 | 2.71868 | 2.71648 |
| LR_8_id[cache_size=0.4,treshold=0.9] | 1.47231 | 1.45377 | 1.46435 | 1.46684 |
| LR_9_id[cache_size=0.4,treshold=0.3] | -7.58819 | -7.64769 | -7.61446 | -7.60959 |
| LR_9_id[cache_size=0.4,treshold=0.5] | -1.75801 | -1.82235 | -1.79156 | -1.78827 |
| LR_9_id[cache_size=0.4,treshold=0.6] | 1.01902 | 0.961061 | 0.991783 | 0.994697 |
| LR_9_id[cache_size=0.4,treshold=0.7] | 2.88924 | 2.85398 | 2.86714 | 2.86409 |
| LR_9_id[cache_size=0.4,treshold=0.8] | 2.73469 | 2.70303 | 2.71891 | 2.71648 |
| LR_9_id[cache_size=0.4,treshold=0.9] | 1.47275 | 1.45388 | 1.46459 | 1.46695 |
| LR_id[cache_size=0.4,treshold=0.3] | -5.38892 | -5.44431 | -5.42012 | -5.42371 |
| LR_id[cache_size=0.4,treshold=0.5] | 3.31501 | 3.26143 | 3.28269 | 3.28171 |
| LR_id[cache_size=0.4,treshold=0.6] | 3.85722 | 3.81883 | 3.83649 | 3.83623 |
| LR_id[cache_size=0.4,treshold=0.7] | 3.6952 | 3.65083 | 3.67045 | 3.66773 |
| LR_id[cache_size=0.4,treshold=0.8] | 3.15277 | 3.11004 | 3.13165 | 3.13272 |
| LR_id[cache_size=0.4,treshold=0.9] | 2.26368 | 2.23932 | 2.24621 | 2.24328 |
| 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 (%) |
|---|
| LR_id[cache_size=0.4,treshold=0.6] | 28.3126 | 3.83649 |
| LR_id[cache_size=0.4,treshold=0.7] | 21.2656 | 3.67045 |
| LR_id[cache_size=0.4,treshold=0.5] | 37.6943 | 3.28269 |
| LR_id[cache_size=0.4,treshold=0.8] | 15.1738 | 3.13165 |
| LR_9_id[cache_size=0.4,treshold=0.7] | 26.6774 | 2.86714 |
| LR_8_id[cache_size=0.4,treshold=0.7] | 26.6826 | 2.86549 |
| LR_7_id[cache_size=0.4,treshold=0.7] | 26.701 | 2.86243 |
| Offline Clock 2nd iteration | 42.6567 | 2.73498 |
| LR_9_id[cache_size=0.4,treshold=0.8] | 14.3994 | 2.71891 |
| LR_7_id[cache_size=0.4,treshold=0.8] | 14.4066 | 2.71871 |
| LR_8_id[cache_size=0.4,treshold=0.8] | 14.4004 | 2.71868 |
| LR_id[cache_size=0.4,treshold=0.9] | 9.49727 | 2.24621 |
| LR_id[cache_size=0.2,treshold=0.7] | 20.3176 | 1.80345 |
| LR_id[cache_size=0.2,treshold=0.6] | 26.038 | 1.70173 |
| LR_id[cache_size=0.2,treshold=0.8] | 15.6163 | 1.69951 |
| LR_7_id[cache_size=0.2,treshold=0.8] | 14.6428 | 1.54726 |
| LR_8_id[cache_size=0.2,treshold=0.8] | 14.6324 | 1.5466 |
| LR_9_id[cache_size=0.2,treshold=0.8] | 14.631 | 1.5466 |
| LR_7_id[cache_size=0.4,treshold=0.9] | 6.00012 | 1.46468 |
| LR_9_id[cache_size=0.4,treshold=0.9] | 5.9994 | 1.46459 |
| LR_8_id[cache_size=0.4,treshold=0.9] | 5.99889 | 1.46435 |
| LR_id[cache_size=0.2,treshold=0.9] | 11.2311 | 1.43978 |
| LR_9_id[cache_size=0.2,treshold=0.7] | 24.279 | 1.38781 |
| LR_7_id[cache_size=0.2,treshold=0.7] | 24.2932 | 1.38663 |
| LR_8_id[cache_size=0.2,treshold=0.7] | 24.2912 | 1.3861 |
| Zipf Optimal Distribution | 12.1282 | 1.23463 |
| LR_id[cache_size=0.2,treshold=0.5] | 34.0401 | 1.15242 |
| LR_7_id[cache_size=0.2,treshold=0.9] | 8.22748 | 1.14522 |
| LR_9_id[cache_size=0.2,treshold=0.9] | 8.21821 | 1.14444 |
| LR_8_id[cache_size=0.2,treshold=0.9] | 8.21593 | 1.14405 |
| LR_9_id[cache_size=0.4,treshold=0.6] | 41.3953 | 0.991783 |
| LR_8_id[cache_size=0.4,treshold=0.6] | 41.3991 | 0.98913 |
| LR_7_id[cache_size=0.4,treshold=0.6] | 41.4208 | 0.982041 |
| LR_id[cache_size=0.1,treshold=0.8] | 15.9931 | 0.94197 |
| LR_id[cache_size=0.1,treshold=0.7] | 20.2532 | 0.910268 |
| LR_7_id[cache_size=0.1,treshold=0.8] | 14.7701 | 0.875575 |
| LR_9_id[cache_size=0.1,treshold=0.8] | 14.7686 | 0.875482 |
| LR_8_id[cache_size=0.1,treshold=0.8] | 14.7713 | 0.875108 |
| LR_id[cache_size=0.1,treshold=0.9] | 11.988 | 0.871647 |
| LR_9_id[cache_size=0.1,treshold=0.9] | 9.04395 | 0.737174 |
| LR_7_id[cache_size=0.1,treshold=0.9] | 9.03969 | 0.736986 |
| LR_8_id[cache_size=0.1,treshold=0.9] | 9.04009 | 0.736893 |
| LR_id[cache_size=0.1,treshold=0.6] | 25.5405 | 0.722305 |
| LR_9_id[cache_size=0.1,treshold=0.7] | 23.5296 | 0.628323 |
| LR_7_id[cache_size=0.1,treshold=0.7] | 23.5533 | 0.626827 |
| LR_8_id[cache_size=0.1,treshold=0.7] | 23.5571 | 0.625518 |
| LR_id[cache_size=0.1,treshold=0.5] | 33.037 | 0.191986 |
| LR_9_id[cache_size=0.01,treshold=0.9] | 9.86908 | 0.189072 |
| LR_8_id[cache_size=0.01,treshold=0.9] | 9.85818 | 0.188973 |
| LR_7_id[cache_size=0.01,treshold=0.9] | 9.85397 | 0.188923 |
| LR_id[cache_size=0.01,treshold=0.9] | 12.6581 | 0.185814 |
| LR_9_id[cache_size=0.01,treshold=0.8] | 15.1723 | 0.134931 |
| LR_8_id[cache_size=0.01,treshold=0.8] | 15.1912 | 0.134043 |
| LR_7_id[cache_size=0.01,treshold=0.8] | 15.2063 | 0.133204 |
| LR_id[cache_size=0.01,treshold=0.8] | 16.3887 | 0.129996 |
| LR_id[cache_size=0.01,treshold=0.7] | 20.339 | 0.0229494 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_9_id[cache_size=0.01,treshold=0.7] | 22.7714 | -0.117361 |
| LR_8_id[cache_size=0.01,treshold=0.7] | 22.8741 | -0.125406 |
| LR_7_id[cache_size=0.01,treshold=0.7] | 22.9407 | -0.130687 |
| LR_id[cache_size=0.01,treshold=0.6] | 25.2618 | -0.177572 |
| LR_9_id[cache_size=0.2,treshold=0.6] | 38.1582 | -0.188253 |
| LR_7_id[cache_size=0.2,treshold=0.6] | 38.1612 | -0.189169 |
| LR_8_id[cache_size=0.2,treshold=0.6] | 38.1722 | -0.192704 |
| LR_id[cache_size=0.01,treshold=0.5] | 32.2723 | -0.583057 |
| LR_9_id[cache_size=0.1,treshold=0.6] | 36.8594 | -0.695653 |
| LR_7_id[cache_size=0.1,treshold=0.6] | 36.896 | -0.701918 |
| LR_8_id[cache_size=0.1,treshold=0.6] | 36.8964 | -0.703788 |
| LR_9_id[cache_size=0.01,treshold=0.6] | 34.6808 | -0.905974 |
| LR_8_id[cache_size=0.01,treshold=0.6] | 34.8694 | -0.931193 |
| LR_7_id[cache_size=0.01,treshold=0.6] | 34.9701 | -0.945456 |
| LR_9_id[cache_size=0.4,treshold=0.5] | 53.7563 | -1.79156 |
| LR_8_id[cache_size=0.4,treshold=0.5] | 53.7552 | -1.79316 |
| LR_7_id[cache_size=0.4,treshold=0.5] | 53.7721 | -1.79952 |
| LR_9_id[cache_size=0.01,treshold=0.5] | 48.7249 | -2.29645 |
| LR_8_id[cache_size=0.01,treshold=0.5] | 48.7494 | -2.30582 |
| LR_7_id[cache_size=0.01,treshold=0.5] | 48.7279 | -2.30651 |
| LR_7_id[cache_size=0.2,treshold=0.5] | 51.5158 | -2.65949 |
| LR_9_id[cache_size=0.2,treshold=0.5] | 51.524 | -2.66041 |
| LR_8_id[cache_size=0.2,treshold=0.5] | 51.5261 | -2.66316 |
| LR_9_id[cache_size=0.1,treshold=0.5] | 50.5837 | -2.83713 |
| LR_8_id[cache_size=0.1,treshold=0.5] | 50.5903 | -2.84162 |
| LR_7_id[cache_size=0.1,treshold=0.5] | 50.601 | -2.84237 |
| LR_id[cache_size=0.01,treshold=0.3] | 67.564 | -4.51092 |
| LR_7_id[cache_size=0.01,treshold=0.3] | 70.4701 | -5.168 |
| LR_8_id[cache_size=0.01,treshold=0.3] | 70.5017 | -5.17555 |
| LR_9_id[cache_size=0.01,treshold=0.3] | 70.5777 | -5.18947 |
| LR_id[cache_size=0.4,treshold=0.3] | 69.7274 | -5.42012 |
| LR_id[cache_size=0.1,treshold=0.3] | 68.7498 | -6.19888 |
| LR_id[cache_size=0.2,treshold=0.3] | 68.9711 | -6.38736 |
| LR_8_id[cache_size=0.1,treshold=0.3] | 71.0216 | -7.28869 |
| LR_7_id[cache_size=0.1,treshold=0.3] | 71.0385 | -7.29356 |
| LR_9_id[cache_size=0.1,treshold=0.3] | 71.0446 | -7.29402 |
| LR_8_id[cache_size=0.4,treshold=0.3] | 71.2963 | -7.61319 |
| LR_9_id[cache_size=0.4,treshold=0.3] | 71.3018 | -7.61446 |
| LR_7_id[cache_size=0.4,treshold=0.3] | 71.3027 | -7.61611 |
| LR_7_id[cache_size=0.2,treshold=0.3] | 71.0982 | -7.87335 |
| LR_8_id[cache_size=0.2,treshold=0.3] | 71.1035 | -7.87597 |
| LR_9_id[cache_size=0.2,treshold=0.3] | 71.1144 | -7.87872 |
Cache Size 0.01
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 42.0861 | 0.362449 |
| Zipf Optimal Distribution | 8.83002 | 0.192773 |
| LR_9_id[cache_size=0.01,treshold=0.9] | 9.86908 | 0.189072 |
| LR_8_id[cache_size=0.01,treshold=0.9] | 9.85818 | 0.188973 |
| LR_7_id[cache_size=0.01,treshold=0.9] | 9.85397 | 0.188923 |
| LR_id[cache_size=0.01,treshold=0.9] | 12.6581 | 0.185814 |
| LR_9_id[cache_size=0.01,treshold=0.8] | 15.1723 | 0.134931 |
| LR_8_id[cache_size=0.01,treshold=0.8] | 15.1912 | 0.134043 |
| LR_7_id[cache_size=0.01,treshold=0.8] | 15.2063 | 0.133204 |
| LR_id[cache_size=0.01,treshold=0.8] | 16.3887 | 0.129996 |
| LR_id[cache_size=0.01,treshold=0.7] | 20.339 | 0.0229494 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_9_id[cache_size=0.01,treshold=0.7] | 22.7714 | -0.117361 |
| LR_8_id[cache_size=0.01,treshold=0.7] | 22.8741 | -0.125406 |
| LR_7_id[cache_size=0.01,treshold=0.7] | 22.9407 | -0.130687 |
| LR_id[cache_size=0.01,treshold=0.6] | 25.2618 | -0.177572 |
| LR_id[cache_size=0.01,treshold=0.5] | 32.2723 | -0.583057 |
| LR_9_id[cache_size=0.01,treshold=0.6] | 34.6808 | -0.905974 |
| LR_8_id[cache_size=0.01,treshold=0.6] | 34.8694 | -0.931193 |
| LR_7_id[cache_size=0.01,treshold=0.6] | 34.9701 | -0.945456 |
| LR_9_id[cache_size=0.01,treshold=0.5] | 48.7249 | -2.29645 |
| LR_8_id[cache_size=0.01,treshold=0.5] | 48.7494 | -2.30582 |
| LR_7_id[cache_size=0.01,treshold=0.5] | 48.7279 | -2.30651 |
| LR_id[cache_size=0.01,treshold=0.3] | 67.564 | -4.51092 |
| LR_7_id[cache_size=0.01,treshold=0.3] | 70.4701 | -5.168 |
| LR_8_id[cache_size=0.01,treshold=0.3] | 70.5017 | -5.17555 |
| LR_9_id[cache_size=0.01,treshold=0.3] | 70.5777 | -5.18947 |
Cache Size 0.1
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.0216 | 1.84971 |
| LR_id[cache_size=0.1,treshold=0.8] | 15.9931 | 0.94197 |
| LR_id[cache_size=0.1,treshold=0.7] | 20.2532 | 0.910268 |
| Zipf Optimal Distribution | 13.1079 | 0.901478 |
| LR_7_id[cache_size=0.1,treshold=0.8] | 14.7701 | 0.875575 |
| LR_9_id[cache_size=0.1,treshold=0.8] | 14.7686 | 0.875482 |
| LR_8_id[cache_size=0.1,treshold=0.8] | 14.7713 | 0.875108 |
| LR_id[cache_size=0.1,treshold=0.9] | 11.988 | 0.871647 |
| LR_9_id[cache_size=0.1,treshold=0.9] | 9.04395 | 0.737174 |
| LR_7_id[cache_size=0.1,treshold=0.9] | 9.03969 | 0.736986 |
| LR_8_id[cache_size=0.1,treshold=0.9] | 9.04009 | 0.736893 |
| LR_id[cache_size=0.1,treshold=0.6] | 25.5405 | 0.722305 |
| LR_9_id[cache_size=0.1,treshold=0.7] | 23.5296 | 0.628323 |
| LR_7_id[cache_size=0.1,treshold=0.7] | 23.5533 | 0.626827 |
| LR_8_id[cache_size=0.1,treshold=0.7] | 23.5571 | 0.625518 |
| LR_id[cache_size=0.1,treshold=0.5] | 33.037 | 0.191986 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_9_id[cache_size=0.1,treshold=0.6] | 36.8594 | -0.695653 |
| LR_7_id[cache_size=0.1,treshold=0.6] | 36.896 | -0.701918 |
| LR_8_id[cache_size=0.1,treshold=0.6] | 36.8964 | -0.703788 |
| LR_9_id[cache_size=0.1,treshold=0.5] | 50.5837 | -2.83713 |
| LR_8_id[cache_size=0.1,treshold=0.5] | 50.5903 | -2.84162 |
| LR_7_id[cache_size=0.1,treshold=0.5] | 50.601 | -2.84237 |
| LR_id[cache_size=0.1,treshold=0.3] | 68.7498 | -6.19888 |
| LR_8_id[cache_size=0.1,treshold=0.3] | 71.0216 | -7.28869 |
| LR_7_id[cache_size=0.1,treshold=0.3] | 71.0385 | -7.29356 |
| LR_9_id[cache_size=0.1,treshold=0.3] | 71.0446 | -7.29402 |
Cache Size 0.2
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.2203 | 3.56227 |
| LR_id[cache_size=0.2,treshold=0.7] | 20.3176 | 1.80345 |
| LR_id[cache_size=0.2,treshold=0.6] | 26.038 | 1.70173 |
| LR_id[cache_size=0.2,treshold=0.8] | 15.6163 | 1.69951 |
| Zipf Optimal Distribution | 15.0252 | 1.67385 |
| LR_7_id[cache_size=0.2,treshold=0.8] | 14.6428 | 1.54726 |
| LR_9_id[cache_size=0.2,treshold=0.8] | 14.631 | 1.5466 |
| LR_8_id[cache_size=0.2,treshold=0.8] | 14.6324 | 1.5466 |
| LR_id[cache_size=0.2,treshold=0.9] | 11.2311 | 1.43978 |
| LR_9_id[cache_size=0.2,treshold=0.7] | 24.279 | 1.38781 |
| LR_7_id[cache_size=0.2,treshold=0.7] | 24.2932 | 1.38663 |
| LR_8_id[cache_size=0.2,treshold=0.7] | 24.2912 | 1.3861 |
| LR_id[cache_size=0.2,treshold=0.5] | 34.0401 | 1.15242 |
| LR_7_id[cache_size=0.2,treshold=0.9] | 8.22748 | 1.14522 |
| LR_9_id[cache_size=0.2,treshold=0.9] | 8.21821 | 1.14444 |
| LR_8_id[cache_size=0.2,treshold=0.9] | 8.21593 | 1.14405 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_9_id[cache_size=0.2,treshold=0.6] | 38.1582 | -0.188253 |
| LR_7_id[cache_size=0.2,treshold=0.6] | 38.1612 | -0.189169 |
| LR_8_id[cache_size=0.2,treshold=0.6] | 38.1722 | -0.192704 |
| LR_7_id[cache_size=0.2,treshold=0.5] | 51.5158 | -2.65949 |
| LR_9_id[cache_size=0.2,treshold=0.5] | 51.524 | -2.66041 |
| LR_8_id[cache_size=0.2,treshold=0.5] | 51.5261 | -2.66316 |
| LR_id[cache_size=0.2,treshold=0.3] | 68.9711 | -6.38736 |
| LR_7_id[cache_size=0.2,treshold=0.3] | 71.0982 | -7.87335 |
| LR_8_id[cache_size=0.2,treshold=0.3] | 71.1035 | -7.87597 |
| LR_9_id[cache_size=0.2,treshold=0.3] | 71.1144 | -7.87872 |
Cache Size 0.4
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.458 | 7.79849 |
| LR_id[cache_size=0.4,treshold=0.6] | 28.3126 | 3.83649 |
| LR_id[cache_size=0.4,treshold=0.7] | 21.2656 | 3.67045 |
| Zipf Optimal Distribution | 17.0787 | 3.33504 |
| LR_id[cache_size=0.4,treshold=0.5] | 37.6943 | 3.28269 |
| LR_id[cache_size=0.4,treshold=0.8] | 15.1738 | 3.13165 |
| LR_9_id[cache_size=0.4,treshold=0.7] | 26.6774 | 2.86714 |
| LR_8_id[cache_size=0.4,treshold=0.7] | 26.6826 | 2.86549 |
| LR_7_id[cache_size=0.4,treshold=0.7] | 26.701 | 2.86243 |
| LR_9_id[cache_size=0.4,treshold=0.8] | 14.3994 | 2.71891 |
| LR_7_id[cache_size=0.4,treshold=0.8] | 14.4066 | 2.71871 |
| LR_8_id[cache_size=0.4,treshold=0.8] | 14.4004 | 2.71868 |
| LR_id[cache_size=0.4,treshold=0.9] | 9.49727 | 2.24621 |
| LR_7_id[cache_size=0.4,treshold=0.9] | 6.00012 | 1.46468 |
| LR_9_id[cache_size=0.4,treshold=0.9] | 5.9994 | 1.46459 |
| LR_8_id[cache_size=0.4,treshold=0.9] | 5.99889 | 1.46435 |
| LR_9_id[cache_size=0.4,treshold=0.6] | 41.3953 | 0.991783 |
| LR_8_id[cache_size=0.4,treshold=0.6] | 41.3991 | 0.98913 |
| LR_7_id[cache_size=0.4,treshold=0.6] | 41.4208 | 0.982041 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_9_id[cache_size=0.4,treshold=0.5] | 53.7563 | -1.79156 |
| LR_8_id[cache_size=0.4,treshold=0.5] | 53.7552 | -1.79316 |
| LR_7_id[cache_size=0.4,treshold=0.5] | 53.7721 | -1.79952 |
| LR_id[cache_size=0.4,treshold=0.3] | 69.7274 | -5.42012 |
| LR_8_id[cache_size=0.4,treshold=0.3] | 71.2963 | -7.61319 |
| LR_9_id[cache_size=0.4,treshold=0.3] | 71.3018 | -7.61446 |
| LR_7_id[cache_size=0.4,treshold=0.3] | 71.3027 | -7.61611 |
Cache Size All
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| LR_id[cache_size=0.4,treshold=0.6] | 28.314 | 3.83623 |
| LR_id[cache_size=0.4,treshold=0.7] | 21.2584 | 3.66773 |
| LR_id[cache_size=0.4,treshold=0.5] | 37.674 | 3.28171 |
| LR_id[cache_size=0.4,treshold=0.8] | 15.1759 | 3.13272 |
| LR_9_id[cache_size=0.4,treshold=0.7] | 26.6702 | 2.86409 |
| LR_8_id[cache_size=0.4,treshold=0.7] | 26.6763 | 2.86331 |
| LR_7_id[cache_size=0.4,treshold=0.7] | 26.695 | 2.8603 |
| LR_8_id[cache_size=0.4,treshold=0.8] | 14.4011 | 2.71648 |
| LR_9_id[cache_size=0.4,treshold=0.8] | 14.4004 | 2.71648 |
| LR_7_id[cache_size=0.4,treshold=0.8] | 14.4071 | 2.71648 |
| LR_id[cache_size=0.4,treshold=0.9] | 9.4979 | 2.24328 |
| Offline Clock 2nd iteration | 43.0175 | 1.84941 |
| LR_id[cache_size=0.2,treshold=0.7] | 20.3307 | 1.8045 |
| LR_id[cache_size=0.2,treshold=0.6] | 26.0415 | 1.70239 |
| LR_id[cache_size=0.2,treshold=0.8] | 15.6231 | 1.69781 |
| LR_7_id[cache_size=0.2,treshold=0.8] | 14.6523 | 1.54793 |
| LR_8_id[cache_size=0.2,treshold=0.8] | 14.6425 | 1.54727 |
| LR_9_id[cache_size=0.2,treshold=0.8] | 14.6409 | 1.54727 |
| LR_9_id[cache_size=0.4,treshold=0.9] | 5.99905 | 1.46695 |
| LR_8_id[cache_size=0.4,treshold=0.9] | 5.99871 | 1.46684 |
| LR_7_id[cache_size=0.4,treshold=0.9] | 6.00029 | 1.46673 |
| LR_id[cache_size=0.2,treshold=0.9] | 11.2324 | 1.43726 |
| LR_9_id[cache_size=0.2,treshold=0.7] | 24.2824 | 1.38888 |
| LR_7_id[cache_size=0.2,treshold=0.7] | 24.2965 | 1.38757 |
| LR_8_id[cache_size=0.2,treshold=0.7] | 24.2952 | 1.38692 |
| LR_id[cache_size=0.2,treshold=0.5] | 34.0395 | 1.15195 |
| LR_7_id[cache_size=0.2,treshold=0.9] | 8.22647 | 1.14405 |
| LR_9_id[cache_size=0.2,treshold=0.9] | 8.21678 | 1.14339 |
| LR_8_id[cache_size=0.2,treshold=0.9] | 8.21468 | 1.14274 |
| LR_9_id[cache_size=0.4,treshold=0.6] | 41.399 | 0.994697 |
| LR_8_id[cache_size=0.4,treshold=0.6] | 41.4021 | 0.991689 |
| LR_7_id[cache_size=0.4,treshold=0.6] | 41.4243 | 0.983666 |
| LR_id[cache_size=0.1,treshold=0.8] | 15.9815 | 0.940729 |
| LR_id[cache_size=0.1,treshold=0.7] | 20.2478 | 0.909847 |
| Zipf Optimal Distribution | 13.1121 | 0.902408 |
| LR_9_id[cache_size=0.1,treshold=0.8] | 14.7578 | 0.873501 |
| LR_7_id[cache_size=0.1,treshold=0.8] | 14.7595 | 0.873501 |
| LR_8_id[cache_size=0.1,treshold=0.8] | 14.7608 | 0.873034 |
| LR_id[cache_size=0.1,treshold=0.9] | 11.9846 | 0.872499 |
| LR_9_id[cache_size=0.1,treshold=0.9] | 9.0408 | 0.737442 |
| LR_7_id[cache_size=0.1,treshold=0.9] | 9.03634 | 0.737442 |
| LR_8_id[cache_size=0.1,treshold=0.9] | 9.03697 | 0.737065 |
| LR_id[cache_size=0.1,treshold=0.6] | 25.5375 | 0.720696 |
| LR_9_id[cache_size=0.1,treshold=0.7] | 23.5205 | 0.62762 |
| LR_7_id[cache_size=0.1,treshold=0.7] | 23.5441 | 0.625751 |
| LR_8_id[cache_size=0.1,treshold=0.7] | 23.5474 | 0.624349 |
| LR_id[cache_size=0.1,treshold=0.5] | 33.0343 | 0.191227 |
| LR_8_id[cache_size=0.01,treshold=0.9] | 9.85241 | 0.189055 |
| LR_9_id[cache_size=0.01,treshold=0.9] | 9.86369 | 0.189055 |
| LR_7_id[cache_size=0.01,treshold=0.9] | 9.84721 | 0.188808 |
| LR_id[cache_size=0.01,treshold=0.9] | 12.6583 | 0.186796 |
| LR_9_id[cache_size=0.01,treshold=0.8] | 15.1701 | 0.135744 |
| LR_8_id[cache_size=0.01,treshold=0.8] | 15.1877 | 0.13451 |
| LR_7_id[cache_size=0.01,treshold=0.8] | 15.2028 | 0.133523 |
| LR_id[cache_size=0.01,treshold=0.8] | 16.3857 | 0.130808 |
| LR_id[cache_size=0.01,treshold=0.7] | 20.3359 | 0.0229532 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_9_id[cache_size=0.01,treshold=0.7] | 22.7619 | -0.116987 |
| LR_8_id[cache_size=0.01,treshold=0.7] | 22.8659 | -0.125379 |
| LR_7_id[cache_size=0.01,treshold=0.7] | 22.9334 | -0.130068 |
| LR_id[cache_size=0.01,treshold=0.6] | 25.2535 | -0.177172 |
| LR_9_id[cache_size=0.2,treshold=0.6] | 38.1561 | -0.189802 |
| LR_7_id[cache_size=0.2,treshold=0.6] | 38.1593 | -0.190456 |
| LR_8_id[cache_size=0.2,treshold=0.6] | 38.1677 | -0.194383 |
| LR_id[cache_size=0.01,treshold=0.5] | 32.2721 | -0.584438 |
| LR_9_id[cache_size=0.1,treshold=0.6] | 36.8537 | -0.696317 |
| LR_7_id[cache_size=0.1,treshold=0.6] | 36.8903 | -0.702392 |
| LR_8_id[cache_size=0.1,treshold=0.6] | 36.8919 | -0.704262 |
| LR_9_id[cache_size=0.01,treshold=0.6] | 34.6826 | -0.906372 |
| LR_8_id[cache_size=0.01,treshold=0.6] | 34.8663 | -0.931295 |
| LR_7_id[cache_size=0.01,treshold=0.6] | 34.9634 | -0.944868 |
| LR_9_id[cache_size=0.4,treshold=0.5] | 53.7463 | -1.78827 |
| LR_8_id[cache_size=0.4,treshold=0.5] | 53.7448 | -1.78961 |
| LR_7_id[cache_size=0.4,treshold=0.5] | 53.7617 | -1.79585 |
| LR_9_id[cache_size=0.01,treshold=0.5] | 48.7273 | -2.29665 |
| LR_8_id[cache_size=0.01,treshold=0.5] | 48.753 | -2.30578 |
| LR_7_id[cache_size=0.01,treshold=0.5] | 48.7291 | -2.30677 |
| LR_7_id[cache_size=0.2,treshold=0.5] | 51.5201 | -2.6599 |
| LR_9_id[cache_size=0.2,treshold=0.5] | 51.5294 | -2.66102 |
| LR_8_id[cache_size=0.2,treshold=0.5] | 51.5302 | -2.66364 |
| LR_9_id[cache_size=0.1,treshold=0.5] | 50.5947 | -2.83755 |
| LR_8_id[cache_size=0.1,treshold=0.5] | 50.6011 | -2.84175 |
| LR_7_id[cache_size=0.1,treshold=0.5] | 50.6118 | -2.84269 |
| LR_id[cache_size=0.01,treshold=0.3] | 67.5634 | -4.50965 |
| LR_7_id[cache_size=0.01,treshold=0.3] | 70.4748 | -5.16634 |
| LR_8_id[cache_size=0.01,treshold=0.3] | 70.506 | -5.17349 |
| LR_9_id[cache_size=0.01,treshold=0.3] | 70.5787 | -5.18756 |
| LR_id[cache_size=0.4,treshold=0.3] | 69.7299 | -5.42371 |
| LR_id[cache_size=0.1,treshold=0.3] | 68.7494 | -6.19818 |
| LR_id[cache_size=0.2,treshold=0.3] | 68.9722 | -6.38585 |
| LR_8_id[cache_size=0.1,treshold=0.3] | 71.0133 | -7.286 |
| LR_7_id[cache_size=0.1,treshold=0.3] | 71.0297 | -7.29161 |
| LR_9_id[cache_size=0.1,treshold=0.3] | 71.0358 | -7.29208 |
| LR_8_id[cache_size=0.4,treshold=0.3] | 71.2965 | -7.60825 |
| LR_9_id[cache_size=0.4,treshold=0.3] | 71.3016 | -7.60959 |
| LR_7_id[cache_size=0.4,treshold=0.3] | 71.3027 | -7.61137 |
| LR_7_id[cache_size=0.2,treshold=0.3] | 71.0998 | -7.87185 |
| LR_8_id[cache_size=0.2,treshold=0.3] | 71.1053 | -7.87446 |
| LR_9_id[cache_size=0.2,treshold=0.3] | 71.1161 | -7.87708 |
Cache Size 0.01
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 42.0861 | 0.361512 |
| Zipf Optimal Distribution | 8.82408 | 0.192718 |
| LR_8_id[cache_size=0.01,treshold=0.9] | 9.85241 | 0.189055 |
| LR_9_id[cache_size=0.01,treshold=0.9] | 9.86369 | 0.189055 |
| LR_7_id[cache_size=0.01,treshold=0.9] | 9.84721 | 0.188808 |
| LR_id[cache_size=0.01,treshold=0.9] | 12.6583 | 0.186796 |
| LR_9_id[cache_size=0.01,treshold=0.8] | 15.1701 | 0.135744 |
| LR_8_id[cache_size=0.01,treshold=0.8] | 15.1877 | 0.13451 |
| LR_7_id[cache_size=0.01,treshold=0.8] | 15.2028 | 0.133523 |
| LR_id[cache_size=0.01,treshold=0.8] | 16.3857 | 0.130808 |
| LR_id[cache_size=0.01,treshold=0.7] | 20.3359 | 0.0229532 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_9_id[cache_size=0.01,treshold=0.7] | 22.7619 | -0.116987 |
| LR_8_id[cache_size=0.01,treshold=0.7] | 22.8659 | -0.125379 |
| LR_7_id[cache_size=0.01,treshold=0.7] | 22.9334 | -0.130068 |
| LR_id[cache_size=0.01,treshold=0.6] | 25.2535 | -0.177172 |
| LR_id[cache_size=0.01,treshold=0.5] | 32.2721 | -0.584438 |
| LR_9_id[cache_size=0.01,treshold=0.6] | 34.6826 | -0.906372 |
| LR_8_id[cache_size=0.01,treshold=0.6] | 34.8663 | -0.931295 |
| LR_7_id[cache_size=0.01,treshold=0.6] | 34.9634 | -0.944868 |
| LR_9_id[cache_size=0.01,treshold=0.5] | 48.7273 | -2.29665 |
| LR_8_id[cache_size=0.01,treshold=0.5] | 48.753 | -2.30578 |
| LR_7_id[cache_size=0.01,treshold=0.5] | 48.7291 | -2.30677 |
| LR_id[cache_size=0.01,treshold=0.3] | 67.5634 | -4.50965 |
| LR_7_id[cache_size=0.01,treshold=0.3] | 70.4748 | -5.16634 |
| LR_8_id[cache_size=0.01,treshold=0.3] | 70.506 | -5.17349 |
| LR_9_id[cache_size=0.01,treshold=0.3] | 70.5787 | -5.18756 |
Cache Size 0.1
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.0175 | 1.84941 |
| LR_id[cache_size=0.1,treshold=0.8] | 15.9815 | 0.940729 |
| LR_id[cache_size=0.1,treshold=0.7] | 20.2478 | 0.909847 |
| Zipf Optimal Distribution | 13.1121 | 0.902408 |
| LR_7_id[cache_size=0.1,treshold=0.8] | 14.7595 | 0.873501 |
| LR_9_id[cache_size=0.1,treshold=0.8] | 14.7578 | 0.873501 |
| LR_8_id[cache_size=0.1,treshold=0.8] | 14.7608 | 0.873034 |
| LR_id[cache_size=0.1,treshold=0.9] | 11.9846 | 0.872499 |
| LR_9_id[cache_size=0.1,treshold=0.9] | 9.0408 | 0.737442 |
| LR_7_id[cache_size=0.1,treshold=0.9] | 9.03634 | 0.737442 |
| LR_8_id[cache_size=0.1,treshold=0.9] | 9.03697 | 0.737065 |
| LR_id[cache_size=0.1,treshold=0.6] | 25.5375 | 0.720696 |
| LR_9_id[cache_size=0.1,treshold=0.7] | 23.5205 | 0.62762 |
| LR_7_id[cache_size=0.1,treshold=0.7] | 23.5441 | 0.625751 |
| LR_8_id[cache_size=0.1,treshold=0.7] | 23.5474 | 0.624349 |
| LR_id[cache_size=0.1,treshold=0.5] | 33.0343 | 0.191227 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_9_id[cache_size=0.1,treshold=0.6] | 36.8537 | -0.696317 |
| LR_7_id[cache_size=0.1,treshold=0.6] | 36.8903 | -0.702392 |
| LR_8_id[cache_size=0.1,treshold=0.6] | 36.8919 | -0.704262 |
| LR_9_id[cache_size=0.1,treshold=0.5] | 50.5947 | -2.83755 |
| LR_8_id[cache_size=0.1,treshold=0.5] | 50.6011 | -2.84175 |
| LR_7_id[cache_size=0.1,treshold=0.5] | 50.6118 | -2.84269 |
| LR_id[cache_size=0.1,treshold=0.3] | 68.7494 | -6.19818 |
| LR_8_id[cache_size=0.1,treshold=0.3] | 71.0133 | -7.286 |
| LR_7_id[cache_size=0.1,treshold=0.3] | 71.0297 | -7.29161 |
| LR_9_id[cache_size=0.1,treshold=0.3] | 71.0358 | -7.29208 |
Cache Size 0.2
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.2233 | 3.56334 |
| LR_id[cache_size=0.2,treshold=0.7] | 20.3307 | 1.8045 |
| LR_id[cache_size=0.2,treshold=0.6] | 26.0415 | 1.70239 |
| LR_id[cache_size=0.2,treshold=0.8] | 15.6231 | 1.69781 |
| Zipf Optimal Distribution | 15.0351 | 1.67163 |
| LR_7_id[cache_size=0.2,treshold=0.8] | 14.6523 | 1.54793 |
| LR_9_id[cache_size=0.2,treshold=0.8] | 14.6409 | 1.54727 |
| LR_8_id[cache_size=0.2,treshold=0.8] | 14.6425 | 1.54727 |
| LR_id[cache_size=0.2,treshold=0.9] | 11.2324 | 1.43726 |
| LR_9_id[cache_size=0.2,treshold=0.7] | 24.2824 | 1.38888 |
| LR_7_id[cache_size=0.2,treshold=0.7] | 24.2965 | 1.38757 |
| LR_8_id[cache_size=0.2,treshold=0.7] | 24.2952 | 1.38692 |
| LR_id[cache_size=0.2,treshold=0.5] | 34.0395 | 1.15195 |
| LR_7_id[cache_size=0.2,treshold=0.9] | 8.22647 | 1.14405 |
| LR_9_id[cache_size=0.2,treshold=0.9] | 8.21678 | 1.14339 |
| LR_8_id[cache_size=0.2,treshold=0.9] | 8.21468 | 1.14274 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_9_id[cache_size=0.2,treshold=0.6] | 38.1561 | -0.189802 |
| LR_7_id[cache_size=0.2,treshold=0.6] | 38.1593 | -0.190456 |
| LR_8_id[cache_size=0.2,treshold=0.6] | 38.1677 | -0.194383 |
| LR_7_id[cache_size=0.2,treshold=0.5] | 51.5201 | -2.6599 |
| LR_9_id[cache_size=0.2,treshold=0.5] | 51.5294 | -2.66102 |
| LR_8_id[cache_size=0.2,treshold=0.5] | 51.5302 | -2.66364 |
| LR_id[cache_size=0.2,treshold=0.3] | 68.9722 | -6.38585 |
| LR_7_id[cache_size=0.2,treshold=0.3] | 71.0998 | -7.87185 |
| LR_8_id[cache_size=0.2,treshold=0.3] | 71.1053 | -7.87446 |
| LR_9_id[cache_size=0.2,treshold=0.3] | 71.1161 | -7.87708 |
Cache Size 0.4
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.46 | 7.8007 |
| LR_id[cache_size=0.4,treshold=0.6] | 28.314 | 3.83623 |
| LR_id[cache_size=0.4,treshold=0.7] | 21.2584 | 3.66773 |
| Zipf Optimal Distribution | 17.0793 | 3.33616 |
| LR_id[cache_size=0.4,treshold=0.5] | 37.674 | 3.28171 |
| LR_id[cache_size=0.4,treshold=0.8] | 15.1759 | 3.13272 |
| LR_9_id[cache_size=0.4,treshold=0.7] | 26.6702 | 2.86409 |
| LR_8_id[cache_size=0.4,treshold=0.7] | 26.6763 | 2.86331 |
| LR_7_id[cache_size=0.4,treshold=0.7] | 26.695 | 2.8603 |
| LR_7_id[cache_size=0.4,treshold=0.8] | 14.4071 | 2.71648 |
| LR_8_id[cache_size=0.4,treshold=0.8] | 14.4011 | 2.71648 |
| LR_9_id[cache_size=0.4,treshold=0.8] | 14.4004 | 2.71648 |
| LR_id[cache_size=0.4,treshold=0.9] | 9.4979 | 2.24328 |
| LR_9_id[cache_size=0.4,treshold=0.9] | 5.99905 | 1.46695 |
| LR_8_id[cache_size=0.4,treshold=0.9] | 5.99871 | 1.46684 |
| LR_7_id[cache_size=0.4,treshold=0.9] | 6.00029 | 1.46673 |
| LR_9_id[cache_size=0.4,treshold=0.6] | 41.399 | 0.994697 |
| LR_8_id[cache_size=0.4,treshold=0.6] | 41.4021 | 0.991689 |
| LR_7_id[cache_size=0.4,treshold=0.6] | 41.4243 | 0.983666 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_9_id[cache_size=0.4,treshold=0.5] | 53.7463 | -1.78827 |
| LR_8_id[cache_size=0.4,treshold=0.5] | 53.7448 | -1.78961 |
| LR_7_id[cache_size=0.4,treshold=0.5] | 53.7617 | -1.79585 |
| LR_id[cache_size=0.4,treshold=0.3] | 69.7299 | -5.42371 |
| LR_8_id[cache_size=0.4,treshold=0.3] | 71.2965 | -7.60825 |
| LR_9_id[cache_size=0.4,treshold=0.3] | 71.3016 | -7.60959 |
| LR_7_id[cache_size=0.4,treshold=0.3] | 71.3027 | -7.61137 |
Model Classification Report
LR_7_id
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.93 0.51 0.65 28055468
1 0.60 0.95 0.73 21729815
accuracy 0.70 49785283
macro avg 0.76 0.73 0.69 49785283
weighted avg 0.78 0.70 0.69 49785283
Accuracy: 0.6987455107968353
0-1%
precision recall f1-score support
0 0.93 0.51 0.66 27764588
1 0.54 0.93 0.68 17098553
accuracy 0.67 44863141
macro avg 0.73 0.72 0.67 44863141
weighted avg 0.78 0.67 0.67 44863141
Accuracy: 0.672187397667943
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: 0.9353103562589742
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
Treshold: 0.5
All
precision recall f1-score support
0 0.82 0.75 0.79 28055468
1 0.71 0.79 0.75 21729815
accuracy 0.77 49785283
macro avg 0.77 0.77 0.77 49785283
weighted avg 0.77 0.77 0.77 49785283
Accuracy: 0.7691047573235649
precision recall f1-score support
0 0.82 0.75 0.79 28055468
1 0.71 0.79 0.75 21729815
accuracy 0.77 49785283
macro avg 0.77 0.77 0.77 49785283
weighted avg 0.77 0.77 0.77 49785283
Accuracy: 0.7691047573235649
0-1%
precision recall f1-score support
0 0.82 0.76 0.79 27764588
1 0.65 0.73 0.69 17098553
accuracy 0.75 44863141
macro avg 0.74 0.75 0.74 44863141
weighted avg 0.76 0.75 0.75 44863141
Accuracy: 0.7503009207491735
1-10%
precision recall f1-score support
0 0.09 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.93 4452351
macro avg 0.51 0.50 0.48 4452351
weighted avg 0.88 0.93 0.90 4452351
Accuracy: 0.9349593057690195
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
Treshold: 0.6
All
precision recall f1-score support
0 0.76 0.86 0.81 28055468
1 0.79 0.65 0.71 21729815
accuracy 0.77 49785283
macro avg 0.77 0.75 0.76 49785283
weighted avg 0.77 0.77 0.76 49785283
Accuracy: 0.7683008651371932
0-1%
precision recall f1-score support
0 0.76 0.87 0.81 27764588
1 0.73 0.55 0.63 17098553
accuracy 0.75 44863141
macro avg 0.74 0.71 0.72 44863141
weighted avg 0.75 0.75 0.74 44863141
Accuracy: 0.7494543906321672
1-10%
precision recall f1-score support
0 0.10 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.93 4452351
macro avg 0.52 0.50 0.48 4452351
weighted avg 0.88 0.93 0.90 4452351
Accuracy: 0.9345002224667373
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
Treshold: 0.7
All
precision recall f1-score support
0 0.70 0.94 0.80 28055468
1 0.85 0.48 0.62 21729815
accuracy 0.74 49785283
macro avg 0.78 0.71 0.71 49785283
weighted avg 0.77 0.74 0.72 49785283
Accuracy: 0.7378961569827774
0-1%
precision recall f1-score support
0 0.70 0.95 0.80 27764588
1 0.79 0.34 0.48 17098553
accuracy 0.72 44863141
macro avg 0.75 0.64 0.64 44863141
weighted avg 0.74 0.72 0.68 44863141
Accuracy: 0.7158359019044164
1-10%
precision recall f1-score support
0 0.09 0.00 0.01 287564
1 0.94 1.00 0.97 4164787
accuracy 0.93 4452351
macro avg 0.51 0.50 0.49 4452351
weighted avg 0.88 0.93 0.90 4452351
Accuracy: 0.9332703104494682
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
Treshold: 0.8
All
precision recall f1-score support
0 0.66 0.97 0.78 28055468
1 0.90 0.35 0.50 21729815
accuracy 0.70 49785283
macro avg 0.78 0.66 0.64 49785283
weighted avg 0.76 0.70 0.66 49785283
Accuracy: 0.6985757618370875
0-1%
precision recall f1-score support
0 0.66 0.98 0.79 27764588
1 0.84 0.17 0.29 17098553
accuracy 0.67 44863141
macro avg 0.75 0.58 0.54 44863141
weighted avg 0.73 0.67 0.60 44863141
Accuracy: 0.6725988490195103
1-10%
precision recall f1-score support
0 0.10 0.01 0.02 287564
1 0.94 0.99 0.96 4164787
accuracy 0.93 4452351
macro avg 0.52 0.50 0.49 4452351
weighted avg 0.88 0.93 0.90 4452351
Accuracy: 0.9292663583801007
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
Treshold: 0.9
All
precision recall f1-score support
0 0.63 0.99 0.77 28055468
1 0.93 0.24 0.38 21729815
accuracy 0.66 49785283
macro avg 0.78 0.61 0.57 49785283
weighted avg 0.76 0.66 0.60 49785283
Accuracy: 0.660436498874577
0-1%
precision recall f1-score support
0 0.63 1.00 0.77 27764588
1 0.87 0.04 0.08 17098553
accuracy 0.63 44863141
macro avg 0.75 0.52 0.43 44863141
weighted avg 0.72 0.63 0.51 44863141
Accuracy: 0.6329220238948494
1-10%
precision recall f1-score support
0 0.10 0.07 0.08 287564
1 0.94 0.96 0.95 4164787
accuracy 0.90 4452351
macro avg 0.52 0.51 0.52 4452351
weighted avg 0.88 0.90 0.89 4452351
Accuracy: 0.9025957297616473
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: 0.3
All
precision recall f1-score support
0 0.92 0.52 0.67 26119367
1 0.62 0.95 0.75 21615229
accuracy 0.72 47734596
macro avg 0.77 0.74 0.71 47734596
weighted avg 0.79 0.72 0.71 47734596
Accuracy: 0.7150650861274703
0-1%
precision recall f1-score support
0 0.97 0.89 0.93 12053010
1 0.12 0.36 0.18 508421
accuracy 0.87 12561431
macro avg 0.55 0.63 0.56 12561431
weighted avg 0.94 0.87 0.90 12561431
Accuracy: 0.8705117275253114
1-10%
precision recall f1-score support
0 0.78 0.22 0.34 13368467
1 0.57 0.94 0.71 14466820
accuracy 0.59 27835287
macro avg 0.67 0.58 0.52 27835287
weighted avg 0.67 0.59 0.53 27835287
Accuracy: 0.5948823161047343
10-20%
precision recall f1-score support
0 0.41 0.00 0.00 503365
1 0.87 1.00 0.93 3387274
accuracy 0.87 3890639
macro avg 0.64 0.50 0.47 3890639
weighted avg 0.81 0.87 0.81 3890639
Accuracy: 0.8705598232064193
20-40%
precision recall f1-score support
0 1.00 0.00 0.00 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.97 0.50 0.48 2117913
weighted avg 0.94 0.93 0.90 2117913
Accuracy: 0.9303625786328333
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.48 0.50 0.49 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9623689409934939
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 3093
1 0.98 1.00 0.99 120943
accuracy 0.98 124036
macro avg 0.49 0.50 0.49 124036
weighted avg 0.95 0.98 0.96 124036
Accuracy: 0.9750636911864298
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.98 99395
macro avg 0.49 0.50 0.49 99395
weighted avg 0.95 0.98 0.97 99395
Accuracy: 0.9765782987071784
Treshold: 0.5
All
precision recall f1-score support
0 0.82 0.75 0.78 26119367
1 0.73 0.80 0.76 21615229
accuracy 0.77 47734596
macro avg 0.77 0.78 0.77 47734596
weighted avg 0.78 0.77 0.77 47734596
Accuracy: 0.774405653291797
precision recall f1-score support
0 0.82 0.75 0.78 26119367
1 0.73 0.80 0.76 21615229
accuracy 0.77 47734596
macro avg 0.77 0.78 0.77 47734596
weighted avg 0.78 0.77 0.77 47734596
Accuracy: 0.774405653291797
0-1%
precision recall f1-score support
0 0.96 0.99 0.97 12053010
1 0.22 0.09 0.13 508421
accuracy 0.95 12561431
macro avg 0.59 0.54 0.55 12561431
weighted avg 0.93 0.95 0.94 12561431
Accuracy: 0.9506570549167527
1-10%
precision recall f1-score support
0 0.67 0.58 0.62 13368467
1 0.65 0.74 0.69 14466820
accuracy 0.66 27835287
macro avg 0.66 0.66 0.66 27835287
weighted avg 0.66 0.66 0.66 27835287
Accuracy: 0.6607267243193864
10-20%
precision recall f1-score support
0 0.27 0.01 0.02 503365
1 0.87 1.00 0.93 3387274
accuracy 0.87 3890639
macro avg 0.57 0.50 0.47 3890639
weighted avg 0.79 0.87 0.81 3890639
Accuracy: 0.868776311551907
20-40%
precision recall f1-score support
0 0.51 0.00 0.00 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.72 0.50 0.48 2117913
weighted avg 0.90 0.93 0.90 2117913
Accuracy: 0.9303621064699069
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.48 0.50 0.49 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9623689409934939
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 3093
1 0.98 1.00 0.99 120943
accuracy 0.98 124036
macro avg 0.49 0.50 0.49 124036
weighted avg 0.95 0.98 0.96 124036
Accuracy: 0.9750636911864298
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.98 99395
macro avg 0.49 0.50 0.49 99395
weighted avg 0.95 0.98 0.97 99395
Accuracy: 0.9765782987071784
Treshold: 0.6
All
precision recall f1-score support
0 0.76 0.85 0.80 26119367
1 0.79 0.67 0.72 21615229
accuracy 0.77 47734596
macro avg 0.77 0.76 0.76 47734596
weighted avg 0.77 0.77 0.77 47734596
Accuracy: 0.769907364461616
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.34 0.01 0.03 508421
accuracy 0.96 12561431
macro avg 0.65 0.51 0.50 12561431
weighted avg 0.93 0.96 0.94 12561431
Accuracy: 0.9590054668134547
1-10%
precision recall f1-score support
0 0.61 0.77 0.68 13368467
1 0.71 0.54 0.62 14466820
accuracy 0.65 27835287
macro avg 0.66 0.65 0.65 27835287
weighted avg 0.66 0.65 0.65 27835287
Accuracy: 0.6498689594973459
10-20%
precision recall f1-score support
0 0.22 0.02 0.04 503365
1 0.87 0.99 0.93 3387274
accuracy 0.86 3890639
macro avg 0.55 0.50 0.48 3890639
weighted avg 0.79 0.86 0.81 3890639
Accuracy: 0.8643158617389072
20-40%
precision recall f1-score support
0 0.48 0.00 0.00 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.70 0.50 0.48 2117913
weighted avg 0.90 0.93 0.90 2117913
Accuracy: 0.9303578570035691
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.48 0.50 0.49 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9623689409934939
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 3093
1 0.98 1.00 0.99 120943
accuracy 0.98 124036
macro avg 0.49 0.50 0.49 124036
weighted avg 0.95 0.98 0.96 124036
Accuracy: 0.9750636911864298
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.98 99395
macro avg 0.49 0.50 0.49 99395
weighted avg 0.95 0.98 0.97 99395
Accuracy: 0.9765782987071784
Treshold: 0.7
All
precision recall f1-score support
0 0.69 0.93 0.79 26119367
1 0.85 0.50 0.63 21615229
accuracy 0.73 47734596
macro avg 0.77 0.71 0.71 47734596
weighted avg 0.76 0.73 0.72 47734596
Accuracy: 0.7345229862215656
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 0.54 0.91 0.68 13368467
1 0.78 0.30 0.43 14466820
accuracy 0.59 27835287
macro avg 0.66 0.60 0.56 27835287
weighted avg 0.67 0.59 0.55 27835287
Accuracy: 0.5909023679188219
10-20%
precision recall f1-score support
0 0.20 0.05 0.08 503365
1 0.87 0.97 0.92 3387274
accuracy 0.85 3890639
macro avg 0.54 0.51 0.50 3890639
weighted avg 0.79 0.85 0.81 3890639
Accuracy: 0.8504294538763427
20-40%
precision recall f1-score support
0 0.34 0.00 0.00 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.63 0.50 0.48 2117913
weighted avg 0.89 0.93 0.90 2117913
Accuracy: 0.9302591749519457
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.48 0.50 0.49 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9623689409934939
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 3093
1 0.98 1.00 0.99 120943
accuracy 0.98 124036
macro avg 0.49 0.50 0.49 124036
weighted avg 0.95 0.98 0.96 124036
Accuracy: 0.9750636911864298
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.98 99395
macro avg 0.49 0.50 0.49 99395
weighted avg 0.95 0.98 0.97 99395
Accuracy: 0.9765782987071784
Treshold: 0.8
All
precision recall f1-score support
0 0.64 0.97 0.77 26119367
1 0.89 0.35 0.51 21615229
accuracy 0.69 47734596
macro avg 0.77 0.66 0.64 47734596
weighted avg 0.76 0.69 0.65 47734596
Accuracy: 0.6878355689864852
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 0.50 0.98 0.66 13368467
1 0.83 0.09 0.17 14466820
accuracy 0.52 27835287
macro avg 0.66 0.54 0.41 27835287
weighted avg 0.67 0.52 0.40 27835287
Accuracy: 0.518283824413235
10-20%
precision recall f1-score support
0 0.18 0.16 0.17 503365
1 0.88 0.89 0.88 3387274
accuracy 0.80 3890639
macro avg 0.53 0.53 0.53 3890639
weighted avg 0.79 0.80 0.79 3890639
Accuracy: 0.7975576762583215
20-40%
precision recall f1-score support
0 0.22 0.00 0.01 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.58 0.50 0.49 2117913
weighted avg 0.88 0.93 0.90 2117913
Accuracy: 0.9295310997193936
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.48 0.50 0.49 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9623689409934939
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 3093
1 0.98 1.00 0.99 120943
accuracy 0.98 124036
macro avg 0.49 0.50 0.49 124036
weighted avg 0.95 0.98 0.96 124036
Accuracy: 0.9750636911864298
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.98 99395
macro avg 0.49 0.50 0.49 99395
weighted avg 0.95 0.98 0.97 99395
Accuracy: 0.9765782987071784
Treshold: 0.9
All
precision recall f1-score support
0 0.61 0.98 0.75 26119367
1 0.93 0.23 0.37 21615229
accuracy 0.64 47734596
macro avg 0.77 0.61 0.56 47734596
weighted avg 0.75 0.64 0.58 47734596
Accuracy: 0.6433975056581603
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 0.89 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.68 0.50 0.32 27835287
weighted avg 0.69 0.48 0.31 27835287
Accuracy: 0.4803281532538177
10-20%
precision recall f1-score support
0 0.15 0.58 0.24 503365
1 0.89 0.52 0.66 3387274
accuracy 0.53 3890639
macro avg 0.52 0.55 0.45 3890639
weighted avg 0.80 0.53 0.60 3890639
Accuracy: 0.5282376493938399
20-40%
precision recall f1-score support
0 0.13 0.02 0.04 147488
1 0.93 0.99 0.96 1970425
accuracy 0.92 2117913
macro avg 0.53 0.51 0.50 2117913
weighted avg 0.88 0.92 0.90 2117913
Accuracy: 0.921552018425686
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.48 0.50 0.49 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9623689409934939
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 3093
1 0.98 1.00 0.99 120943
accuracy 0.98 124036
macro avg 0.49 0.50 0.49 124036
weighted avg 0.95 0.98 0.96 124036
Accuracy: 0.9750636911864298
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.98 99395
macro avg 0.49 0.50 0.49 99395
weighted avg 0.95 0.98 0.97 99395
Accuracy: 0.9765782987071784
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.92 0.54 0.68 24893266
1 0.63 0.95 0.75 20563095
accuracy 0.72 45456361
macro avg 0.78 0.74 0.72 45456361
weighted avg 0.79 0.72 0.71 45456361
Accuracy: 0.7215836965039942
0-1%
precision recall f1-score support
0 1.00 0.99 1.00 4873589
1 0.02 0.11 0.03 3872
accuracy 0.99 4877461
macro avg 0.51 0.55 0.51 4877461
weighted avg 1.00 0.99 1.00 4877461
Accuracy: 0.9942029264816264
1-10%
precision recall f1-score support
0 0.89 0.50 0.64 16949103
1 0.45 0.87 0.59 8016772
accuracy 0.62 24965875
macro avg 0.67 0.68 0.62 24965875
weighted avg 0.75 0.62 0.62 24965875
Accuracy: 0.6173862121796252
10-20%
precision recall f1-score support
0 0.47 0.02 0.04 2057494
1 0.73 0.99 0.84 5461156
accuracy 0.73 7518650
macro avg 0.60 0.51 0.44 7518650
weighted avg 0.66 0.73 0.62 7518650
Accuracy: 0.7257109986500236
20-40%
precision recall f1-score support
0 0.51 0.00 0.01 744974
1 0.85 1.00 0.92 4060539
accuracy 0.84 4805513
macro avg 0.68 0.50 0.46 4805513
weighted avg 0.79 0.84 0.78 4805513
Accuracy: 0.8449982343196242
40-80%
precision recall f1-score support
0 0.85 0.00 0.00 235909
1 0.91 1.00 0.95 2483775
accuracy 0.91 2719684
macro avg 0.88 0.50 0.48 2719684
weighted avg 0.91 0.91 0.87 2719684
Accuracy: 0.9132671295635817
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 18577
1 0.94 1.00 0.97 296772
accuracy 0.94 315349
macro avg 0.47 0.50 0.48 315349
weighted avg 0.89 0.94 0.91 315349
Accuracy: 0.9410906646287129
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 13620
1 0.95 1.00 0.97 240209
accuracy 0.95 253829
macro avg 0.47 0.50 0.49 253829
weighted avg 0.90 0.95 0.92 253829
Accuracy: 0.946341828553869
Treshold: 0.5
All
precision recall f1-score support
0 0.83 0.75 0.79 24893266
1 0.73 0.81 0.77 20563095
accuracy 0.78 45456361
macro avg 0.78 0.78 0.78 45456361
weighted avg 0.78 0.78 0.78 45456361
Accuracy: 0.7766741160824554
precision recall f1-score support
0 0.83 0.75 0.79 24893266
1 0.73 0.81 0.77 20563095
accuracy 0.78 45456361
macro avg 0.78 0.78 0.78 45456361
weighted avg 0.78 0.78 0.78 45456361
Accuracy: 0.7766741160824554
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.09 0.02 0.03 3872
accuracy 1.00 4877461
macro avg 0.54 0.51 0.52 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9990601667547931
1-10%
precision recall f1-score support
0 0.79 0.80 0.79 16949103
1 0.57 0.56 0.56 8016772
accuracy 0.72 24965875
macro avg 0.68 0.68 0.68 24965875
weighted avg 0.72 0.72 0.72 24965875
Accuracy: 0.7211653907583851
10-20%
precision recall f1-score support
0 0.42 0.13 0.20 2057494
1 0.74 0.93 0.83 5461156
accuracy 0.71 7518650
macro avg 0.58 0.53 0.51 7518650
weighted avg 0.65 0.71 0.65 7518650
Accuracy: 0.7134634542105298
20-40%
precision recall f1-score support
0 0.32 0.02 0.04 744974
1 0.85 0.99 0.91 4060539
accuracy 0.84 4805513
macro avg 0.58 0.51 0.48 4805513
weighted avg 0.77 0.84 0.78 4805513
Accuracy: 0.8411586858676691
40-80%
precision recall f1-score support
0 0.69 0.00 0.00 235909
1 0.91 1.00 0.95 2483775
accuracy 0.91 2719684
macro avg 0.80 0.50 0.48 2719684
weighted avg 0.89 0.91 0.87 2719684
Accuracy: 0.9133101492673413
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 18577
1 0.94 1.00 0.97 296772
accuracy 0.94 315349
macro avg 0.47 0.50 0.48 315349
weighted avg 0.89 0.94 0.91 315349
Accuracy: 0.9410906646287129
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 13620
1 0.95 1.00 0.97 240209
accuracy 0.95 253829
macro avg 0.47 0.50 0.49 253829
weighted avg 0.90 0.95 0.92 253829
Accuracy: 0.946341828553869
Treshold: 0.6
All
precision recall f1-score support
0 0.76 0.84 0.80 24893266
1 0.78 0.68 0.73 20563095
accuracy 0.77 45456361
macro avg 0.77 0.76 0.77 45456361
weighted avg 0.77 0.77 0.77 45456361
Accuracy: 0.771956426516412
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.27 0.00 0.01 3872
accuracy 1.00 4877461
macro avg 0.63 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992014287761604
1-10%
precision recall f1-score support
0 0.74 0.92 0.82 16949103
1 0.64 0.31 0.42 8016772
accuracy 0.72 24965875
macro avg 0.69 0.61 0.62 24965875
weighted avg 0.71 0.72 0.69 24965875
Accuracy: 0.7228112773936424
10-20%
precision recall f1-score support
0 0.39 0.28 0.33 2057494
1 0.75 0.84 0.79 5461156
accuracy 0.68 7518650
macro avg 0.57 0.56 0.56 7518650
weighted avg 0.66 0.68 0.67 7518650
Accuracy: 0.6844078391732559
20-40%
precision recall f1-score support
0 0.28 0.05 0.08 744974
1 0.85 0.98 0.91 4060539
accuracy 0.83 4805513
macro avg 0.56 0.51 0.49 4805513
weighted avg 0.76 0.83 0.78 4805513
Accuracy: 0.8332977145208014
40-80%
precision recall f1-score support
0 0.57 0.00 0.01 235909
1 0.91 1.00 0.95 2483775
accuracy 0.91 2719684
macro avg 0.74 0.50 0.48 2719684
weighted avg 0.88 0.91 0.87 2719684
Accuracy: 0.9133123554059956
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 18577
1 0.94 1.00 0.97 296772
accuracy 0.94 315349
macro avg 0.47 0.50 0.48 315349
weighted avg 0.89 0.94 0.91 315349
Accuracy: 0.9410906646287129
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 13620
1 0.95 1.00 0.97 240209
accuracy 0.95 253829
macro avg 0.47 0.50 0.49 253829
weighted avg 0.90 0.95 0.92 253829
Accuracy: 0.946341828553869
Treshold: 0.7
All
precision recall f1-score support
0 0.70 0.92 0.79 24893266
1 0.84 0.52 0.64 20563095
accuracy 0.74 45456361
macro avg 0.77 0.72 0.72 45456361
weighted avg 0.76 0.74 0.72 45456361
Accuracy: 0.7374155401484954
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 0.69 0.99 0.81 16949103
1 0.73 0.07 0.12 8016772
accuracy 0.69 24965875
macro avg 0.71 0.53 0.47 24965875
weighted avg 0.70 0.69 0.59 24965875
Accuracy: 0.692328187976588
10-20%
precision recall f1-score support
0 0.35 0.55 0.42 2057494
1 0.78 0.61 0.68 5461156
accuracy 0.59 7518650
macro avg 0.56 0.58 0.55 7518650
weighted avg 0.66 0.59 0.61 7518650
Accuracy: 0.5909048831904664
20-40%
precision recall f1-score support
0 0.25 0.11 0.15 744974
1 0.85 0.94 0.89 4060539
accuracy 0.81 4805513
macro avg 0.55 0.53 0.52 4805513
weighted avg 0.76 0.81 0.78 4805513
Accuracy: 0.8113533352214425
40-80%
precision recall f1-score support
0 0.43 0.01 0.01 235909
1 0.91 1.00 0.95 2483775
accuracy 0.91 2719684
macro avg 0.67 0.50 0.48 2719684
weighted avg 0.87 0.91 0.87 2719684
Accuracy: 0.9130847554348226
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 18577
1 0.94 1.00 0.97 296772
accuracy 0.94 315349
macro avg 0.47 0.50 0.48 315349
weighted avg 0.89 0.94 0.91 315349
Accuracy: 0.9410906646287129
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 13620
1 0.95 1.00 0.97 240209
accuracy 0.95 253829
macro avg 0.47 0.50 0.49 253829
weighted avg 0.90 0.95 0.92 253829
Accuracy: 0.946341828553869
Treshold: 0.8
All
precision recall f1-score support
0 0.64 0.96 0.77 24893266
1 0.88 0.36 0.51 20563095
accuracy 0.69 45456361
macro avg 0.76 0.66 0.64 45456361
weighted avg 0.75 0.69 0.65 45456361
Accuracy: 0.6874468239989558
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 0.29 0.90 0.44 2057494
1 0.83 0.19 0.31 5461156
accuracy 0.38 7518650
macro avg 0.56 0.54 0.37 7518650
weighted avg 0.68 0.38 0.34 7518650
Accuracy: 0.3815806029007867
20-40%
precision recall f1-score support
0 0.22 0.28 0.25 744974
1 0.86 0.82 0.84 4060539
accuracy 0.74 4805513
macro avg 0.54 0.55 0.54 4805513
weighted avg 0.76 0.74 0.75 4805513
Accuracy: 0.7369554509580974
40-80%
precision recall f1-score support
0 0.28 0.01 0.03 235909
1 0.91 1.00 0.95 2483775
accuracy 0.91 2719684
macro avg 0.60 0.51 0.49 2719684
weighted avg 0.86 0.91 0.87 2719684
Accuracy: 0.9114066192984185
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 18577
1 0.94 1.00 0.97 296772
accuracy 0.94 315349
macro avg 0.47 0.50 0.48 315349
weighted avg 0.89 0.94 0.91 315349
Accuracy: 0.9410906646287129
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 13620
1 0.95 1.00 0.97 240209
accuracy 0.95 253829
macro avg 0.47 0.50 0.49 253829
weighted avg 0.90 0.95 0.92 253829
Accuracy: 0.946341828553869
Treshold: 0.9
All
precision recall f1-score support
0 0.60 0.98 0.75 24893266
1 0.91 0.22 0.36 20563095
accuracy 0.64 45456361
macro avg 0.76 0.60 0.55 45456361
weighted avg 0.74 0.64 0.57 45456361
Accuracy: 0.6375316317115661
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 0.18 0.73 0.29 744974
1 0.89 0.39 0.54 4060539
accuracy 0.44 4805513
macro avg 0.53 0.56 0.41 4805513
weighted avg 0.78 0.44 0.50 4805513
Accuracy: 0.44214634316877305
40-80%
precision recall f1-score support
0 0.18 0.05 0.08 235909
1 0.92 0.98 0.95 2483775
accuracy 0.90 2719684
macro avg 0.55 0.52 0.51 2719684
weighted avg 0.85 0.90 0.87 2719684
Accuracy: 0.8964129656239475
80-90%
precision recall f1-score support
0 1.00 0.00 0.00 18577
1 0.94 1.00 0.97 296772
accuracy 0.94 315349
macro avg 0.97 0.50 0.48 315349
weighted avg 0.94 0.94 0.91 315349
Accuracy: 0.9410938357185213
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 13620
1 0.95 1.00 0.97 240209
accuracy 0.95 253829
macro avg 0.47 0.50 0.49 253829
weighted avg 0.90 0.95 0.92 253829
Accuracy: 0.946341828553869
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.93 0.55 0.69 22531902
1 0.61 0.94 0.74 16938696
accuracy 0.72 39470598
macro avg 0.77 0.75 0.72 39470598
weighted avg 0.79 0.72 0.72 39470598
Accuracy: 0.72108565469416
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 0.95 0.82 0.88 11439888
1 0.29 0.65 0.40 1271288
accuracy 0.81 12711176
macro avg 0.62 0.73 0.64 12711176
weighted avg 0.89 0.81 0.84 12711176
Accuracy: 0.8066911354228751
10-20%
precision recall f1-score support
0 0.78 0.26 0.39 5044441
1 0.48 0.90 0.63 3812372
accuracy 0.53 8856813
macro avg 0.63 0.58 0.51 8856813
weighted avg 0.65 0.53 0.49 8856813
Accuracy: 0.534763351106092
20-40%
precision recall f1-score support
0 0.60 0.06 0.12 2995598
1 0.66 0.98 0.79 5583215
accuracy 0.66 8578813
macro avg 0.63 0.52 0.45 8578813
weighted avg 0.64 0.66 0.55 8578813
Accuracy: 0.6582242788133976
40-80%
precision recall f1-score support
0 0.54 0.01 0.03 1295061
1 0.80 1.00 0.89 5001564
accuracy 0.79 6296625
macro avg 0.67 0.51 0.46 6296625
weighted avg 0.74 0.79 0.71 6296625
Accuracy: 0.7947311456534254
80-90%
precision recall f1-score support
0 0.78 0.00 0.00 117971
1 0.85 1.00 0.92 692761
accuracy 0.85 810732
macro avg 0.82 0.50 0.46 810732
weighted avg 0.84 0.85 0.79 810732
Accuracy: 0.8547004435497797
90-100%
precision recall f1-score support
0 0.80 0.00 0.00 88944
1 0.87 1.00 0.93 577496
accuracy 0.87 666440
macro avg 0.83 0.50 0.47 666440
weighted avg 0.86 0.87 0.80 666440
Accuracy: 0.866621151191405
Treshold: 0.5
All
precision recall f1-score support
0 0.85 0.74 0.79 22531902
1 0.71 0.82 0.76 16938696
accuracy 0.78 39470598
macro avg 0.78 0.78 0.78 39470598
weighted avg 0.79 0.78 0.78 39470598
Accuracy: 0.7763523876684107
precision recall f1-score support
0 0.85 0.74 0.79 22531902
1 0.71 0.82 0.76 16938696
accuracy 0.78 39470598
macro avg 0.78 0.78 0.78 39470598
weighted avg 0.79 0.78 0.78 39470598
Accuracy: 0.7763523876684107
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 0.92 0.97 0.94 11439888
1 0.45 0.25 0.32 1271288
accuracy 0.89 12711176
macro avg 0.69 0.61 0.63 12711176
weighted avg 0.87 0.89 0.88 12711176
Accuracy: 0.8945495680336737
10-20%
precision recall f1-score support
0 0.71 0.65 0.68 5044441
1 0.58 0.64 0.61 3812372
accuracy 0.65 8856813
macro avg 0.64 0.65 0.64 8856813
weighted avg 0.65 0.65 0.65 8856813
Accuracy: 0.6475557291319124
20-40%
precision recall f1-score support
0 0.56 0.25 0.35 2995598
1 0.69 0.89 0.78 5583215
accuracy 0.67 8578813
macro avg 0.62 0.57 0.56 8578813
weighted avg 0.64 0.67 0.63 8578813
Accuracy: 0.6683956160368573
40-80%
precision recall f1-score support
0 0.43 0.05 0.09 1295061
1 0.80 0.98 0.88 5001564
accuracy 0.79 6296625
macro avg 0.62 0.52 0.48 6296625
weighted avg 0.72 0.79 0.72 6296625
Accuracy: 0.7912060826236277
80-90%
precision recall f1-score support
0 0.68 0.01 0.02 117971
1 0.86 1.00 0.92 692761
accuracy 0.86 810732
macro avg 0.77 0.50 0.47 810732
weighted avg 0.83 0.86 0.79 810732
Accuracy: 0.8551629885091497
90-100%
precision recall f1-score support
0 0.75 0.00 0.01 88944
1 0.87 1.00 0.93 577496
accuracy 0.87 666440
macro avg 0.81 0.50 0.47 666440
weighted avg 0.85 0.87 0.81 666440
Accuracy: 0.866934757817658
Treshold: 0.6
All
precision recall f1-score support
0 0.79 0.82 0.81 22531902
1 0.75 0.71 0.73 16938696
accuracy 0.78 39470598
macro avg 0.77 0.77 0.77 39470598
weighted avg 0.78 0.78 0.78 39470598
Accuracy: 0.7772319030991119
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 0.99 0.95 11439888
1 0.56 0.09 0.15 1271288
accuracy 0.90 12711176
macro avg 0.73 0.54 0.55 12711176
weighted avg 0.87 0.90 0.87 12711176
Accuracy: 0.9017052395466792
10-20%
precision recall f1-score support
0 0.65 0.85 0.73 5044441
1 0.66 0.40 0.50 3812372
accuracy 0.65 8856813
macro avg 0.65 0.62 0.62 8856813
weighted avg 0.65 0.65 0.63 8856813
Accuracy: 0.6522827116255023
20-40%
precision recall f1-score support
0 0.52 0.43 0.47 2995598
1 0.72 0.78 0.75 5583215
accuracy 0.66 8578813
macro avg 0.62 0.61 0.61 8578813
weighted avg 0.65 0.66 0.65 8578813
Accuracy: 0.661567631792417
40-80%
precision recall f1-score support
0 0.40 0.09 0.15 1295061
1 0.80 0.96 0.88 5001564
accuracy 0.78 6296625
macro avg 0.60 0.53 0.51 6296625
weighted avg 0.72 0.78 0.73 6296625
Accuracy: 0.7849125523593988
80-90%
precision recall f1-score support
0 0.57 0.02 0.03 117971
1 0.86 1.00 0.92 692761
accuracy 0.86 810732
macro avg 0.71 0.51 0.48 810732
weighted avg 0.81 0.86 0.79 810732
Accuracy: 0.8550273086544012
90-100%
precision recall f1-score support
0 0.69 0.01 0.02 88944
1 0.87 1.00 0.93 577496
accuracy 0.87 666440
macro avg 0.78 0.50 0.47 666440
weighted avg 0.84 0.87 0.81 666440
Accuracy: 0.8672438629133905
Treshold: 0.7
All
precision recall f1-score support
0 0.73 0.90 0.80 22531902
1 0.80 0.56 0.66 16938696
accuracy 0.75 39470598
macro avg 0.77 0.73 0.73 39470598
weighted avg 0.76 0.75 0.74 39470598
Accuracy: 0.751307314877773
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 0.73 0.00 0.01 1271288
accuracy 0.90 12711176
macro avg 0.81 0.50 0.48 12711176
weighted avg 0.88 0.90 0.85 12711176
Accuracy: 0.9001895654658546
10-20%
precision recall f1-score support
0 0.59 0.97 0.74 5044441
1 0.77 0.11 0.20 3812372
accuracy 0.60 8856813
macro avg 0.68 0.54 0.47 8856813
weighted avg 0.67 0.60 0.51 8856813
Accuracy: 0.604077561533703
20-40%
precision recall f1-score support
0 0.46 0.68 0.55 2995598
1 0.77 0.57 0.65 5583215
accuracy 0.61 8578813
macro avg 0.61 0.62 0.60 8578813
weighted avg 0.66 0.61 0.62 8578813
Accuracy: 0.6068312714124903
40-80%
precision recall f1-score support
0 0.37 0.18 0.25 1295061
1 0.81 0.92 0.86 5001564
accuracy 0.77 6296625
macro avg 0.59 0.55 0.55 6296625
weighted avg 0.72 0.77 0.74 6296625
Accuracy: 0.7681297520497091
80-90%
precision recall f1-score support
0 0.41 0.03 0.05 117971
1 0.86 0.99 0.92 692761
accuracy 0.85 810732
macro avg 0.64 0.51 0.48 810732
weighted avg 0.79 0.85 0.79 810732
Accuracy: 0.8529218039993487
90-100%
precision recall f1-score support
0 0.57 0.02 0.03 88944
1 0.87 1.00 0.93 577496
accuracy 0.87 666440
macro avg 0.72 0.51 0.48 666440
weighted avg 0.83 0.87 0.81 666440
Accuracy: 0.8671028149570854
Treshold: 0.8
All
precision recall f1-score support
0 0.67 0.95 0.78 22531902
1 0.84 0.37 0.52 16938696
accuracy 0.70 39470598
macro avg 0.75 0.66 0.65 39470598
weighted avg 0.74 0.70 0.67 39470598
Accuracy: 0.7009521365751793
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 0.88 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.73 0.50 0.36 8856813
weighted avg 0.70 0.57 0.41 8856813
Accuracy: 0.5695592760059403
20-40%
precision recall f1-score support
0 0.38 0.93 0.54 2995598
1 0.84 0.20 0.32 5583215
accuracy 0.45 8578813
macro avg 0.61 0.56 0.43 8578813
weighted avg 0.68 0.45 0.40 8578813
Accuracy: 0.45344979544372865
40-80%
precision recall f1-score support
0 0.33 0.38 0.35 1295061
1 0.83 0.80 0.81 5001564
accuracy 0.71 6296625
macro avg 0.58 0.59 0.58 6296625
weighted avg 0.73 0.71 0.72 6296625
Accuracy: 0.7116874516109821
80-90%
precision recall f1-score support
0 0.32 0.05 0.09 117971
1 0.86 0.98 0.92 692761
accuracy 0.85 810732
macro avg 0.59 0.52 0.50 810732
weighted avg 0.78 0.85 0.80 810732
Accuracy: 0.8458010785314999
90-100%
precision recall f1-score support
0 0.38 0.03 0.06 88944
1 0.87 0.99 0.93 577496
accuracy 0.86 666440
macro avg 0.62 0.51 0.49 666440
weighted avg 0.80 0.86 0.81 666440
Accuracy: 0.8637311685973231
Treshold: 0.9
All
precision recall f1-score support
0 0.62 0.98 0.76 22531902
1 0.87 0.19 0.31 16938696
accuracy 0.64 39470598
macro avg 0.74 0.58 0.53 39470598
weighted avg 0.73 0.64 0.56 39470598
Accuracy: 0.6394420728056869
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 0.95 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.65 0.50 0.26 8578813
weighted avg 0.74 0.35 0.18 8578813
Accuracy: 0.3491939968851169
40-80%
precision recall f1-score support
0 0.25 0.78 0.38 1295061
1 0.87 0.40 0.55 5001564
accuracy 0.48 6296625
macro avg 0.56 0.59 0.46 6296625
weighted avg 0.75 0.48 0.51 6296625
Accuracy: 0.4756038353880055
80-90%
precision recall f1-score support
0 0.26 0.19 0.22 117971
1 0.87 0.91 0.89 692761
accuracy 0.80 810732
macro avg 0.57 0.55 0.55 810732
weighted avg 0.78 0.80 0.79 810732
Accuracy: 0.8045198659976417
90-100%
precision recall f1-score support
0 0.27 0.10 0.15 88944
1 0.87 0.96 0.91 577496
accuracy 0.84 666440
macro avg 0.57 0.53 0.53 666440
weighted avg 0.79 0.84 0.81 666440
Accuracy: 0.8436078266610647
LR_8_id
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.93 0.50 0.65 28055468
1 0.60 0.95 0.73 21729815
accuracy 0.70 49785283
macro avg 0.76 0.73 0.69 49785283
weighted avg 0.78 0.70 0.69 49785283
Accuracy: 0.6982908181921955
0-1%
precision recall f1-score support
0 0.93 0.51 0.66 27764588
1 0.54 0.93 0.68 17098553
accuracy 0.67 44863141
macro avg 0.73 0.72 0.67 44863141
weighted avg 0.78 0.67 0.67 44863141
Accuracy: 0.6716834650520792
1-10%
precision recall f1-score support
0 0.08 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: 0.9353038428461727
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
Treshold: 0.5
All
precision recall f1-score support
0 0.82 0.75 0.79 28055468
1 0.71 0.79 0.75 21729815
accuracy 0.77 49785283
macro avg 0.77 0.77 0.77 49785283
weighted avg 0.77 0.77 0.77 49785283
Accuracy: 0.7690767570810032
precision recall f1-score support
0 0.82 0.75 0.79 28055468
1 0.71 0.79 0.75 21729815
accuracy 0.77 49785283
macro avg 0.77 0.77 0.77 49785283
weighted avg 0.77 0.77 0.77 49785283
Accuracy: 0.769076736994746
0-1%
precision recall f1-score support
0 0.82 0.76 0.79 27764588
1 0.65 0.73 0.69 17098553
accuracy 0.75 44863141
macro avg 0.74 0.75 0.74 44863141
weighted avg 0.76 0.75 0.75 44863141
Accuracy: 0.7502710744216505
1-10%
precision recall f1-score support
0 0.09 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.93 4452351
macro avg 0.51 0.50 0.48 4452351
weighted avg 0.88 0.93 0.90 4452351
Accuracy: 0.9349467281442995
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
Treshold: 0.6
All
precision recall f1-score support
0 0.76 0.86 0.81 28055468
1 0.79 0.65 0.71 21729815
accuracy 0.77 49785283
macro avg 0.77 0.75 0.76 49785283
weighted avg 0.77 0.77 0.76 49785283
Accuracy: 0.7685307121785367
0-1%
precision recall f1-score support
0 0.76 0.87 0.81 27764588
1 0.73 0.55 0.63 17098553
accuracy 0.75 44863141
macro avg 0.74 0.71 0.72 44863141
weighted avg 0.75 0.75 0.74 44863141
Accuracy: 0.7497123083735934
1-10%
precision recall f1-score support
0 0.10 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.93 4452351
macro avg 0.52 0.50 0.48 4452351
weighted avg 0.88 0.93 0.90 4452351
Accuracy: 0.9344714736102342
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
Treshold: 0.7
All
precision recall f1-score support
0 0.70 0.94 0.80 28055468
1 0.85 0.48 0.62 21729815
accuracy 0.74 49785283
macro avg 0.78 0.71 0.71 49785283
weighted avg 0.77 0.74 0.72 49785283
Accuracy: 0.7377634671675964
0-1%
precision recall f1-score support
0 0.70 0.95 0.80 27764588
1 0.80 0.34 0.48 17098553
accuracy 0.72 44863141
macro avg 0.75 0.64 0.64 44863141
weighted avg 0.74 0.72 0.68 44863141
Accuracy: 0.715694115131172
1-10%
precision recall f1-score support
0 0.09 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: 0.9332152833413179
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
Treshold: 0.8
All
precision recall f1-score support
0 0.66 0.97 0.78 28055468
1 0.90 0.35 0.50 21729815
accuracy 0.70 49785283
macro avg 0.78 0.66 0.64 49785283
weighted avg 0.76 0.70 0.66 49785283
Accuracy: 0.6984824410860535
0-1%
precision recall f1-score support
0 0.66 0.98 0.79 27764588
1 0.84 0.17 0.29 17098553
accuracy 0.67 44863141
macro avg 0.75 0.58 0.54 44863141
weighted avg 0.73 0.67 0.60 44863141
Accuracy: 0.6725060111150042
1-10%
precision recall f1-score support
0 0.10 0.01 0.02 287564
1 0.94 0.99 0.96 4164787
accuracy 0.93 4452351
macro avg 0.52 0.50 0.49 4452351
weighted avg 0.88 0.93 0.90 4452351
Accuracy: 0.9291583255677731
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
Treshold: 0.9
All
precision recall f1-score support
0 0.63 0.99 0.77 28055468
1 0.93 0.24 0.38 21729815
accuracy 0.66 49785283
macro avg 0.78 0.61 0.57 49785283
weighted avg 0.76 0.66 0.60 49785283
Accuracy: 0.6604382865514694
0-1%
precision recall f1-score support
0 0.63 1.00 0.77 27764588
1 0.87 0.04 0.08 17098553
accuracy 0.63 44863141
macro avg 0.75 0.52 0.43 44863141
weighted avg 0.72 0.63 0.51 44863141
Accuracy: 0.6329103662180051
1-10%
precision recall f1-score support
0 0.11 0.07 0.08 287564
1 0.94 0.96 0.95 4164787
accuracy 0.90 4452351
macro avg 0.52 0.51 0.52 4452351
weighted avg 0.88 0.90 0.89 4452351
Accuracy: 0.9027331852318022
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: 0.3
All
precision recall f1-score support
0 0.92 0.52 0.67 26119367
1 0.62 0.95 0.75 21615229
accuracy 0.72 47734596
macro avg 0.77 0.74 0.71 47734596
weighted avg 0.79 0.72 0.71 47734596
Accuracy: 0.7152016537439638
0-1%
precision recall f1-score support
0 0.97 0.89 0.93 12053010
1 0.12 0.36 0.18 508421
accuracy 0.87 12561431
macro avg 0.55 0.63 0.56 12561431
weighted avg 0.94 0.87 0.90 12561431
Accuracy: 0.8707563652580665
1-10%
precision recall f1-score support
0 0.78 0.22 0.34 13368467
1 0.57 0.94 0.71 14466820
accuracy 0.60 27835287
macro avg 0.67 0.58 0.52 27835287
weighted avg 0.67 0.60 0.53 27835287
Accuracy: 0.5950102831704233
10-20%
precision recall f1-score support
0 0.34 0.00 0.00 503365
1 0.87 1.00 0.93 3387274
accuracy 0.87 3890639
macro avg 0.61 0.50 0.47 3890639
weighted avg 0.80 0.87 0.81 3890639
Accuracy: 0.870530522107037
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.47 0.50 0.48 2117913
weighted avg 0.87 0.93 0.90 2117913
Accuracy: 0.9303616343069805
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.48 0.50 0.49 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9623689409934939
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 3093
1 0.98 1.00 0.99 120943
accuracy 0.98 124036
macro avg 0.49 0.50 0.49 124036
weighted avg 0.95 0.98 0.96 124036
Accuracy: 0.9750636911864298
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.98 99395
macro avg 0.49 0.50 0.49 99395
weighted avg 0.95 0.98 0.97 99395
Accuracy: 0.9765782987071784
Treshold: 0.5
All
precision recall f1-score support
0 0.82 0.75 0.78 26119367
1 0.73 0.80 0.76 21615229
accuracy 0.77 47734596
macro avg 0.77 0.78 0.77 47734596
weighted avg 0.78 0.77 0.77 47734596
Accuracy: 0.7744123779742474
precision recall f1-score support
0 0.82 0.75 0.78 26119367
1 0.73 0.80 0.76 21615229
accuracy 0.77 47734596
macro avg 0.77 0.78 0.77 47734596
weighted avg 0.78 0.77 0.77 47734596
Accuracy: 0.7744123779742474
0-1%
precision recall f1-score support
0 0.96 0.99 0.97 12053010
1 0.22 0.09 0.13 508421
accuracy 0.95 12561431
macro avg 0.59 0.54 0.55 12561431
weighted avg 0.93 0.95 0.94 12561431
Accuracy: 0.9506700311453369
1-10%
precision recall f1-score support
0 0.67 0.58 0.62 13368467
1 0.65 0.74 0.69 14466820
accuracy 0.66 27835287
macro avg 0.66 0.66 0.66 27835287
weighted avg 0.66 0.66 0.66 27835287
Accuracy: 0.6607368912704223
10-20%
precision recall f1-score support
0 0.26 0.01 0.02 503365
1 0.87 1.00 0.93 3387274
accuracy 0.87 3890639
macro avg 0.57 0.50 0.47 3890639
weighted avg 0.79 0.87 0.81 3890639
Accuracy: 0.8687446972078365
20-40%
precision recall f1-score support
0 0.49 0.00 0.00 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.71 0.50 0.48 2117913
weighted avg 0.90 0.93 0.90 2117913
Accuracy: 0.9303611621440541
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.48 0.50 0.49 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9623689409934939
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 3093
1 0.98 1.00 0.99 120943
accuracy 0.98 124036
macro avg 0.49 0.50 0.49 124036
weighted avg 0.95 0.98 0.96 124036
Accuracy: 0.9750636911864298
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.98 99395
macro avg 0.49 0.50 0.49 99395
weighted avg 0.95 0.98 0.97 99395
Accuracy: 0.9765782987071784
Treshold: 0.6
All
precision recall f1-score support
0 0.76 0.85 0.80 26119367
1 0.79 0.67 0.72 21615229
accuracy 0.77 47734596
macro avg 0.77 0.76 0.76 47734596
weighted avg 0.77 0.77 0.77 47734596
Accuracy: 0.7698857239726089
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.34 0.01 0.03 508421
accuracy 0.96 12561431
macro avg 0.65 0.51 0.50 12561431
weighted avg 0.93 0.96 0.94 12561431
Accuracy: 0.9590021232453532
1-10%
precision recall f1-score support
0 0.61 0.77 0.68 13368467
1 0.71 0.54 0.62 14466820
accuracy 0.65 27835287
macro avg 0.66 0.65 0.65 27835287
weighted avg 0.66 0.65 0.65 27835287
Accuracy: 0.6498426619420162
10-20%
precision recall f1-score support
0 0.22 0.02 0.04 503365
1 0.87 0.99 0.93 3387274
accuracy 0.86 3890639
macro avg 0.55 0.50 0.48 3890639
weighted avg 0.79 0.86 0.81 3890639
Accuracy: 0.864253918186704
20-40%
precision recall f1-score support
0 0.42 0.00 0.00 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.67 0.50 0.48 2117913
weighted avg 0.89 0.93 0.90 2117913
Accuracy: 0.9303493580708934
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.48 0.50 0.49 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9623689409934939
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 3093
1 0.98 1.00 0.99 120943
accuracy 0.98 124036
macro avg 0.49 0.50 0.49 124036
weighted avg 0.95 0.98 0.96 124036
Accuracy: 0.9750636911864298
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.98 99395
macro avg 0.49 0.50 0.49 99395
weighted avg 0.95 0.98 0.97 99395
Accuracy: 0.9765782987071784
Treshold: 0.7
All
precision recall f1-score support
0 0.69 0.93 0.79 26119367
1 0.85 0.50 0.63 21615229
accuracy 0.73 47734596
macro avg 0.77 0.71 0.71 47734596
weighted avg 0.76 0.73 0.72 47734596
Accuracy: 0.734535471924807
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 0.54 0.91 0.68 13368467
1 0.78 0.30 0.43 14466820
accuracy 0.59 27835287
macro avg 0.66 0.60 0.56 27835287
weighted avg 0.67 0.59 0.55 27835287
Accuracy: 0.5909476342025861
10-20%
precision recall f1-score support
0 0.20 0.05 0.08 503365
1 0.87 0.97 0.92 3387274
accuracy 0.85 3890639
macro avg 0.54 0.51 0.50 3890639
weighted avg 0.79 0.85 0.81 3890639
Accuracy: 0.85027035404724
20-40%
precision recall f1-score support
0 0.28 0.00 0.00 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.61 0.50 0.48 2117913
weighted avg 0.89 0.93 0.90 2117913
Accuracy: 0.9302379276202564
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.48 0.50 0.49 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9623689409934939
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 3093
1 0.98 1.00 0.99 120943
accuracy 0.98 124036
macro avg 0.49 0.50 0.49 124036
weighted avg 0.95 0.98 0.96 124036
Accuracy: 0.9750636911864298
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.98 99395
macro avg 0.49 0.50 0.49 99395
weighted avg 0.95 0.98 0.97 99395
Accuracy: 0.9765782987071784
Treshold: 0.8
All
precision recall f1-score support
0 0.64 0.97 0.77 26119367
1 0.89 0.35 0.51 21615229
accuracy 0.69 47734596
macro avg 0.77 0.66 0.64 47734596
weighted avg 0.76 0.69 0.65 47734596
Accuracy: 0.6878533967271871
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 0.50 0.98 0.66 13368467
1 0.83 0.09 0.17 14466820
accuracy 0.52 27835287
macro avg 0.66 0.54 0.41 27835287
weighted avg 0.67 0.52 0.40 27835287
Accuracy: 0.5183614237568307
10-20%
precision recall f1-score support
0 0.18 0.16 0.17 503365
1 0.88 0.89 0.88 3387274
accuracy 0.80 3890639
macro avg 0.53 0.53 0.53 3890639
weighted avg 0.79 0.80 0.79 3890639
Accuracy: 0.7972348501107401
20-40%
precision recall f1-score support
0 0.21 0.00 0.01 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.57 0.50 0.49 2117913
weighted avg 0.88 0.93 0.90 2117913
Accuracy: 0.9295060750842928
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.48 0.50 0.49 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9623689409934939
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 3093
1 0.98 1.00 0.99 120943
accuracy 0.98 124036
macro avg 0.49 0.50 0.49 124036
weighted avg 0.95 0.98 0.96 124036
Accuracy: 0.9750636911864298
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.98 99395
macro avg 0.49 0.50 0.49 99395
weighted avg 0.95 0.98 0.97 99395
Accuracy: 0.9765782987071784
Treshold: 0.9
All
precision recall f1-score support
0 0.61 0.98 0.75 26119367
1 0.93 0.23 0.37 21615229
accuracy 0.64 47734596
macro avg 0.77 0.61 0.56 47734596
weighted avg 0.75 0.64 0.58 47734596
Accuracy: 0.6434090067505757
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 0.89 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.68 0.50 0.32 27835287
weighted avg 0.69 0.48 0.31 27835287
Accuracy: 0.4803318176672653
10-20%
precision recall f1-score support
0 0.15 0.58 0.24 503365
1 0.89 0.52 0.66 3387274
accuracy 0.53 3890639
macro avg 0.52 0.55 0.45 3890639
weighted avg 0.80 0.53 0.60 3890639
Accuracy: 0.5284021467938814
20-40%
precision recall f1-score support
0 0.13 0.02 0.04 147488
1 0.93 0.99 0.96 1970425
accuracy 0.92 2117913
macro avg 0.53 0.51 0.50 2117913
weighted avg 0.88 0.92 0.89 2117913
Accuracy: 0.9214608909808855
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.48 0.50 0.49 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9623689409934939
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 3093
1 0.98 1.00 0.99 120943
accuracy 0.98 124036
macro avg 0.49 0.50 0.49 124036
weighted avg 0.95 0.98 0.96 124036
Accuracy: 0.9750636911864298
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.98 99395
macro avg 0.49 0.50 0.49 99395
weighted avg 0.95 0.98 0.97 99395
Accuracy: 0.9765782987071784
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.92 0.54 0.68 24893266
1 0.63 0.95 0.75 20563095
accuracy 0.72 45456361
macro avg 0.78 0.74 0.72 45456361
weighted avg 0.79 0.72 0.71 45456361
Accuracy: 0.7215495978659621
0-1%
precision recall f1-score support
0 1.00 0.99 1.00 4873589
1 0.02 0.11 0.03 3872
accuracy 0.99 4877461
macro avg 0.51 0.55 0.51 4877461
weighted avg 1.00 0.99 1.00 4877461
Accuracy: 0.9941699175042097
1-10%
precision recall f1-score support
0 0.89 0.50 0.64 16949103
1 0.45 0.87 0.59 8016772
accuracy 0.62 24965875
macro avg 0.67 0.68 0.62 24965875
weighted avg 0.75 0.62 0.62 24965875
Accuracy: 0.6173350223054469
10-20%
precision recall f1-score support
0 0.47 0.02 0.04 2057494
1 0.73 0.99 0.84 5461156
accuracy 0.73 7518650
macro avg 0.60 0.51 0.44 7518650
weighted avg 0.66 0.73 0.62 7518650
Accuracy: 0.7257095356214214
20-40%
precision recall f1-score support
0 0.50 0.00 0.01 744974
1 0.85 1.00 0.92 4060539
accuracy 0.84 4805513
macro avg 0.67 0.50 0.46 4805513
weighted avg 0.79 0.84 0.78 4805513
Accuracy: 0.8449805463017164
40-80%
precision recall f1-score support
0 0.72 0.00 0.00 235909
1 0.91 1.00 0.95 2483775
accuracy 0.91 2719684
macro avg 0.82 0.50 0.48 2719684
weighted avg 0.90 0.91 0.87 2719684
Accuracy: 0.9132616142169457
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 18577
1 0.94 1.00 0.97 296772
accuracy 0.94 315349
macro avg 0.47 0.50 0.48 315349
weighted avg 0.89 0.94 0.91 315349
Accuracy: 0.9410906646287129
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 13620
1 0.95 1.00 0.97 240209
accuracy 0.95 253829
macro avg 0.47 0.50 0.49 253829
weighted avg 0.90 0.95 0.92 253829
Accuracy: 0.946341828553869
Treshold: 0.5
All
precision recall f1-score support
0 0.83 0.75 0.79 24893266
1 0.73 0.81 0.77 20563095
accuracy 0.78 45456361
macro avg 0.78 0.78 0.78 45456361
weighted avg 0.78 0.78 0.78 45456361
Accuracy: 0.7766542728750329
precision recall f1-score support
0 0.83 0.75 0.79 24893266
1 0.73 0.81 0.77 20563095
accuracy 0.78 45456361
macro avg 0.78 0.78 0.78 45456361
weighted avg 0.78 0.78 0.78 45456361
Accuracy: 0.7766542508759116
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.09 0.02 0.03 3872
accuracy 1.00 4877461
macro avg 0.54 0.51 0.52 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9990593466559753
1-10%
precision recall f1-score support
0 0.79 0.80 0.79 16949103
1 0.57 0.56 0.56 8016772
accuracy 0.72 24965875
macro avg 0.68 0.68 0.68 24965875
weighted avg 0.72 0.72 0.72 24965875
Accuracy: 0.72113991598532
10-20%
precision recall f1-score support
0 0.42 0.13 0.20 2057494
1 0.74 0.93 0.83 5461156
accuracy 0.71 7518650
macro avg 0.58 0.53 0.51 7518650
weighted avg 0.65 0.71 0.65 7518650
Accuracy: 0.7134387157268924
20-40%
precision recall f1-score support
0 0.32 0.02 0.04 744974
1 0.85 0.99 0.91 4060539
accuracy 0.84 4805513
macro avg 0.58 0.51 0.48 4805513
weighted avg 0.77 0.84 0.78 4805513
Accuracy: 0.8411520268491626
40-80%
precision recall f1-score support
0 0.66 0.00 0.00 235909
1 0.91 1.00 0.95 2483775
accuracy 0.91 2719684
macro avg 0.79 0.50 0.48 2719684
weighted avg 0.89 0.91 0.87 2719684
Accuracy: 0.9132936032274338
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 18577
1 0.94 1.00 0.97 296772
accuracy 0.94 315349
macro avg 0.47 0.50 0.48 315349
weighted avg 0.89 0.94 0.91 315349
Accuracy: 0.9410906646287129
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 13620
1 0.95 1.00 0.97 240209
accuracy 0.95 253829
macro avg 0.47 0.50 0.49 253829
weighted avg 0.90 0.95 0.92 253829
Accuracy: 0.946341828553869
Treshold: 0.6
All
precision recall f1-score support
0 0.76 0.84 0.80 24893266
1 0.78 0.68 0.73 20563095
accuracy 0.77 45456361
macro avg 0.77 0.76 0.77 45456361
weighted avg 0.77 0.77 0.77 45456361
Accuracy: 0.7719615963099202
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.26 0.00 0.01 3872
accuracy 1.00 4877461
macro avg 0.63 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992012237514559
1-10%
precision recall f1-score support
0 0.74 0.92 0.82 16949103
1 0.64 0.31 0.42 8016772
accuracy 0.72 24965875
macro avg 0.69 0.61 0.62 24965875
weighted avg 0.71 0.72 0.69 24965875
Accuracy: 0.722836591948009
10-20%
precision recall f1-score support
0 0.39 0.28 0.33 2057494
1 0.75 0.84 0.79 5461156
accuracy 0.68 7518650
macro avg 0.57 0.56 0.56 7518650
weighted avg 0.66 0.68 0.67 7518650
Accuracy: 0.6843844307156205
20-40%
precision recall f1-score support
0 0.28 0.05 0.08 744974
1 0.85 0.98 0.91 4060539
accuracy 0.83 4805513
macro avg 0.56 0.51 0.50 4805513
weighted avg 0.76 0.83 0.78 4805513
Accuracy: 0.8332648356169258
40-80%
precision recall f1-score support
0 0.54 0.00 0.00 235909
1 0.91 1.00 0.95 2483775
accuracy 0.91 2719684
macro avg 0.73 0.50 0.48 2719684
weighted avg 0.88 0.91 0.87 2719684
Accuracy: 0.9132895586399008
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 18577
1 0.94 1.00 0.97 296772
accuracy 0.94 315349
macro avg 0.47 0.50 0.48 315349
weighted avg 0.89 0.94 0.91 315349
Accuracy: 0.9410906646287129
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 13620
1 0.95 1.00 0.97 240209
accuracy 0.95 253829
macro avg 0.47 0.50 0.49 253829
weighted avg 0.90 0.95 0.92 253829
Accuracy: 0.946341828553869
Treshold: 0.7
All
precision recall f1-score support
0 0.70 0.92 0.79 24893266
1 0.84 0.52 0.64 20563095
accuracy 0.74 45456361
macro avg 0.77 0.72 0.72 45456361
weighted avg 0.76 0.74 0.72 45456361
Accuracy: 0.7374187960184494
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 0.69 0.99 0.81 16949103
1 0.73 0.07 0.12 8016772
accuracy 0.69 24965875
macro avg 0.71 0.53 0.47 24965875
weighted avg 0.70 0.69 0.59 24965875
Accuracy: 0.6923660396441143
10-20%
precision recall f1-score support
0 0.35 0.55 0.42 2057494
1 0.78 0.61 0.68 5461156
accuracy 0.59 7518650
macro avg 0.56 0.58 0.55 7518650
weighted avg 0.66 0.59 0.61 7518650
Accuracy: 0.5908697705040133
20-40%
precision recall f1-score support
0 0.25 0.11 0.15 744974
1 0.85 0.94 0.89 4060539
accuracy 0.81 4805513
macro avg 0.55 0.53 0.52 4805513
weighted avg 0.76 0.81 0.78 4805513
Accuracy: 0.8112522013778758
40-80%
precision recall f1-score support
0 0.42 0.01 0.01 235909
1 0.91 1.00 0.95 2483775
accuracy 0.91 2719684
macro avg 0.67 0.50 0.48 2719684
weighted avg 0.87 0.91 0.87 2719684
Accuracy: 0.9130674740153636
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 18577
1 0.94 1.00 0.97 296772
accuracy 0.94 315349
macro avg 0.47 0.50 0.48 315349
weighted avg 0.89 0.94 0.91 315349
Accuracy: 0.9410906646287129
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 13620
1 0.95 1.00 0.97 240209
accuracy 0.95 253829
macro avg 0.47 0.50 0.49 253829
weighted avg 0.90 0.95 0.92 253829
Accuracy: 0.946341828553869
Treshold: 0.8
All
precision recall f1-score support
0 0.64 0.96 0.77 24893266
1 0.88 0.36 0.51 20563095
accuracy 0.69 45456361
macro avg 0.76 0.66 0.64 45456361
weighted avg 0.75 0.69 0.65 45456361
Accuracy: 0.6873951480629961
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 0.29 0.90 0.44 2057494
1 0.83 0.19 0.31 5461156
accuracy 0.38 7518650
macro avg 0.56 0.54 0.37 7518650
weighted avg 0.68 0.38 0.34 7518650
Accuracy: 0.3814477333031861
20-40%
precision recall f1-score support
0 0.22 0.28 0.25 744974
1 0.86 0.82 0.84 4060539
accuracy 0.74 4805513
macro avg 0.54 0.55 0.54 4805513
weighted avg 0.76 0.74 0.75 4805513
Accuracy: 0.7366915873497794
40-80%
precision recall f1-score support
0 0.28 0.01 0.03 235909
1 0.91 1.00 0.95 2483775
accuracy 0.91 2719684
macro avg 0.60 0.51 0.49 2719684
weighted avg 0.86 0.91 0.87 2719684
Accuracy: 0.9113764687368091
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 18577
1 0.94 1.00 0.97 296772
accuracy 0.94 315349
macro avg 0.47 0.50 0.48 315349
weighted avg 0.89 0.94 0.91 315349
Accuracy: 0.9410906646287129
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 13620
1 0.95 1.00 0.97 240209
accuracy 0.95 253829
macro avg 0.47 0.50 0.49 253829
weighted avg 0.90 0.95 0.92 253829
Accuracy: 0.946341828553869
Treshold: 0.9
All
precision recall f1-score support
0 0.60 0.98 0.75 24893266
1 0.91 0.22 0.36 20563095
accuracy 0.64 45456361
macro avg 0.76 0.60 0.55 45456361
weighted avg 0.74 0.64 0.57 45456361
Accuracy: 0.6374343955953712
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 0.18 0.73 0.29 744974
1 0.89 0.39 0.54 4060539
accuracy 0.44 4805513
macro avg 0.53 0.56 0.41 4805513
weighted avg 0.78 0.44 0.50 4805513
Accuracy: 0.44132041677964456
40-80%
precision recall f1-score support
0 0.18 0.05 0.08 235909
1 0.92 0.98 0.95 2483775
accuracy 0.90 2719684
macro avg 0.55 0.52 0.51 2719684
weighted avg 0.85 0.90 0.87 2719684
Accuracy: 0.8962475052248717
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 18577
1 0.94 1.00 0.97 296772
accuracy 0.94 315349
macro avg 0.47 0.50 0.48 315349
weighted avg 0.89 0.94 0.91 315349
Accuracy: 0.9410906646287129
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 13620
1 0.95 1.00 0.97 240209
accuracy 0.95 253829
macro avg 0.47 0.50 0.49 253829
weighted avg 0.90 0.95 0.92 253829
Accuracy: 0.946341828553869
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.93 0.55 0.69 22531902
1 0.61 0.94 0.74 16938696
accuracy 0.72 39470598
macro avg 0.77 0.75 0.72 39470598
weighted avg 0.79 0.72 0.72 39470598
Accuracy: 0.7211361733105741
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 0.95 0.82 0.88 11439888
1 0.29 0.64 0.40 1271288
accuracy 0.81 12711176
macro avg 0.62 0.73 0.64 12711176
weighted avg 0.89 0.81 0.84 12711176
Accuracy: 0.806773897238147
10-20%
precision recall f1-score support
0 0.78 0.26 0.39 5044441
1 0.48 0.90 0.63 3812372
accuracy 0.53 8856813
macro avg 0.63 0.58 0.51 8856813
weighted avg 0.65 0.53 0.49 8856813
Accuracy: 0.5348625967376753
20-40%
precision recall f1-score support
0 0.60 0.06 0.12 2995598
1 0.66 0.98 0.79 5583215
accuracy 0.66 8578813
macro avg 0.63 0.52 0.45 8578813
weighted avg 0.64 0.66 0.55 8578813
Accuracy: 0.65823360411283
40-80%
precision recall f1-score support
0 0.54 0.01 0.03 1295061
1 0.80 1.00 0.89 5001564
accuracy 0.79 6296625
macro avg 0.67 0.51 0.46 6296625
weighted avg 0.74 0.79 0.71 6296625
Accuracy: 0.7947320985448554
80-90%
precision recall f1-score support
0 0.78 0.00 0.00 117971
1 0.85 1.00 0.92 692761
accuracy 0.85 810732
macro avg 0.82 0.50 0.46 810732
weighted avg 0.84 0.85 0.79 810732
Accuracy: 0.8546868755643049
90-100%
precision recall f1-score support
0 0.79 0.00 0.00 88944
1 0.87 1.00 0.93 577496
accuracy 0.87 666440
macro avg 0.83 0.50 0.46 666440
weighted avg 0.86 0.87 0.80 666440
Accuracy: 0.8666031450693236
Treshold: 0.5
All
precision recall f1-score support
0 0.85 0.74 0.79 22531902
1 0.71 0.82 0.76 16938696
accuracy 0.78 39470598
macro avg 0.78 0.78 0.78 39470598
weighted avg 0.79 0.78 0.78 39470598
Accuracy: 0.7763886425029588
precision recall f1-score support
0 0.85 0.74 0.79 22531902
1 0.71 0.82 0.76 16938696
accuracy 0.78 39470598
macro avg 0.78 0.78 0.78 39470598
weighted avg 0.79 0.78 0.78 39470598
Accuracy: 0.7763886425029588
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 0.92 0.97 0.94 11439888
1 0.45 0.25 0.32 1271288
accuracy 0.89 12711176
macro avg 0.69 0.61 0.63 12711176
weighted avg 0.87 0.89 0.88 12711176
Accuracy: 0.8945675836759714
10-20%
precision recall f1-score support
0 0.71 0.65 0.68 5044441
1 0.58 0.64 0.61 3812372
accuracy 0.65 8856813
macro avg 0.64 0.65 0.64 8856813
weighted avg 0.65 0.65 0.65 8856813
Accuracy: 0.6476544102263422
20-40%
precision recall f1-score support
0 0.56 0.25 0.35 2995598
1 0.69 0.89 0.78 5583215
accuracy 0.67 8578813
macro avg 0.62 0.57 0.56 8578813
weighted avg 0.64 0.67 0.63 8578813
Accuracy: 0.6684277883198992
40-80%
precision recall f1-score support
0 0.43 0.05 0.09 1295061
1 0.80 0.98 0.88 5001564
accuracy 0.79 6296625
macro avg 0.62 0.52 0.48 6296625
weighted avg 0.72 0.79 0.72 6296625
Accuracy: 0.7912157703531654
80-90%
precision recall f1-score support
0 0.68 0.01 0.02 117971
1 0.86 1.00 0.92 692761
accuracy 0.86 810732
macro avg 0.77 0.50 0.47 810732
weighted avg 0.83 0.86 0.79 810732
Accuracy: 0.8551580546962498
90-100%
precision recall f1-score support
0 0.76 0.00 0.01 88944
1 0.87 1.00 0.93 577496
accuracy 0.87 666440
macro avg 0.81 0.50 0.47 666440
weighted avg 0.85 0.87 0.81 666440
Accuracy: 0.8669272552667907
Treshold: 0.6
All
precision recall f1-score support
0 0.79 0.83 0.81 22531902
1 0.75 0.71 0.73 16938696
accuracy 0.78 39470598
macro avg 0.77 0.77 0.77 39470598
weighted avg 0.78 0.78 0.78 39470598
Accuracy: 0.7772303576449487
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 0.99 0.95 11439888
1 0.56 0.09 0.15 1271288
accuracy 0.90 12711176
macro avg 0.73 0.54 0.55 12711176
weighted avg 0.87 0.90 0.87 12711176
Accuracy: 0.9017020927095967
10-20%
precision recall f1-score support
0 0.65 0.85 0.73 5044441
1 0.66 0.40 0.50 3812372
accuracy 0.65 8856813
macro avg 0.65 0.62 0.61 8856813
weighted avg 0.65 0.65 0.63 8856813
Accuracy: 0.6522328065411339
20-40%
precision recall f1-score support
0 0.52 0.43 0.47 2995598
1 0.72 0.78 0.75 5583215
accuracy 0.66 8578813
macro avg 0.62 0.61 0.61 8578813
weighted avg 0.65 0.66 0.65 8578813
Accuracy: 0.6616044667251751
40-80%
precision recall f1-score support
0 0.40 0.09 0.15 1295061
1 0.80 0.96 0.88 5001564
accuracy 0.78 6296625
macro avg 0.60 0.53 0.51 6296625
weighted avg 0.72 0.78 0.73 6296625
Accuracy: 0.7849300220356143
80-90%
precision recall f1-score support
0 0.57 0.02 0.03 117971
1 0.86 1.00 0.92 692761
accuracy 0.86 810732
macro avg 0.71 0.51 0.48 810732
weighted avg 0.81 0.86 0.79 810732
Accuracy: 0.8550273086544012
90-100%
precision recall f1-score support
0 0.69 0.01 0.02 88944
1 0.87 1.00 0.93 577496
accuracy 0.87 666440
macro avg 0.78 0.50 0.47 666440
weighted avg 0.84 0.87 0.81 666440
Accuracy: 0.8672363603625233
Treshold: 0.7
All
precision recall f1-score support
0 0.73 0.90 0.80 22531902
1 0.80 0.56 0.66 16938696
accuracy 0.75 39470598
macro avg 0.77 0.73 0.73 39470598
weighted avg 0.76 0.75 0.74 39470598
Accuracy: 0.7512692612359204
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 0.73 0.00 0.01 1271288
accuracy 0.90 12711176
macro avg 0.81 0.50 0.48 12711176
weighted avg 0.88 0.90 0.85 12711176
Accuracy: 0.9001857892613555
10-20%
precision recall f1-score support
0 0.59 0.97 0.74 5044441
1 0.77 0.11 0.20 3812372
accuracy 0.60 8856813
macro avg 0.68 0.54 0.47 8856813
weighted avg 0.67 0.60 0.51 8856813
Accuracy: 0.603929652799489
20-40%
precision recall f1-score support
0 0.46 0.68 0.55 2995598
1 0.77 0.57 0.65 5583215
accuracy 0.61 8578813
macro avg 0.61 0.62 0.60 8578813
weighted avg 0.66 0.61 0.62 8578813
Accuracy: 0.6067868596739432
40-80%
precision recall f1-score support
0 0.37 0.18 0.25 1295061
1 0.81 0.92 0.86 5001564
accuracy 0.77 6296625
macro avg 0.59 0.55 0.55 6296625
weighted avg 0.72 0.77 0.74 6296625
Accuracy: 0.7681667560002382
80-90%
precision recall f1-score support
0 0.41 0.03 0.05 117971
1 0.86 0.99 0.92 692761
accuracy 0.85 810732
macro avg 0.64 0.51 0.48 810732
weighted avg 0.79 0.85 0.79 810732
Accuracy: 0.8529205705461238
90-100%
precision recall f1-score support
0 0.57 0.02 0.03 88944
1 0.87 1.00 0.93 577496
accuracy 0.87 666440
macro avg 0.72 0.51 0.48 666440
weighted avg 0.83 0.87 0.81 666440
Accuracy: 0.8671103175079528
Treshold: 0.8
All
precision recall f1-score support
0 0.67 0.95 0.78 22531902
1 0.84 0.37 0.52 16938696
accuracy 0.70 39470598
macro avg 0.75 0.66 0.65 39470598
weighted avg 0.74 0.70 0.67 39470598
Accuracy: 0.7009194793552406
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 0.88 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.73 0.50 0.36 8856813
weighted avg 0.70 0.57 0.41 8856813
Accuracy: 0.569558598561356
20-40%
precision recall f1-score support
0 0.38 0.93 0.54 2995598
1 0.84 0.20 0.32 5583215
accuracy 0.45 8578813
macro avg 0.61 0.56 0.43 8578813
weighted avg 0.68 0.45 0.40 8578813
Accuracy: 0.45323706205042585
40-80%
precision recall f1-score support
0 0.33 0.38 0.35 1295061
1 0.83 0.80 0.81 5001564
accuracy 0.71 6296625
macro avg 0.58 0.59 0.58 6296625
weighted avg 0.73 0.71 0.72 6296625
Accuracy: 0.711772735393961
80-90%
precision recall f1-score support
0 0.32 0.05 0.09 117971
1 0.86 0.98 0.92 692761
accuracy 0.85 810732
macro avg 0.59 0.52 0.50 810732
weighted avg 0.78 0.85 0.80 810732
Accuracy: 0.84579367781215
90-100%
precision recall f1-score support
0 0.38 0.03 0.06 88944
1 0.87 0.99 0.93 577496
accuracy 0.86 666440
macro avg 0.62 0.51 0.49 666440
weighted avg 0.80 0.86 0.81 666440
Accuracy: 0.8637476742092312
Treshold: 0.9
All
precision recall f1-score support
0 0.62 0.98 0.76 22531902
1 0.87 0.19 0.31 16938696
accuracy 0.64 39470598
macro avg 0.74 0.58 0.53 39470598
weighted avg 0.73 0.64 0.56 39470598
Accuracy: 0.6394334081282478
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 0.95 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.65 0.50 0.26 8578813
weighted avg 0.74 0.35 0.18 8578813
Accuracy: 0.3491932974876594
40-80%
precision recall f1-score support
0 0.25 0.78 0.38 1295061
1 0.87 0.40 0.55 5001564
accuracy 0.48 6296625
macro avg 0.56 0.59 0.46 6296625
weighted avg 0.75 0.48 0.51 6296625
Accuracy: 0.47553379786790545
80-90%
precision recall f1-score support
0 0.26 0.19 0.22 117971
1 0.87 0.91 0.89 692761
accuracy 0.80 810732
macro avg 0.57 0.55 0.55 810732
weighted avg 0.78 0.80 0.79 810732
Accuracy: 0.8046358106007904
90-100%
precision recall f1-score support
0 0.27 0.10 0.15 88944
1 0.87 0.96 0.91 577496
accuracy 0.84 666440
macro avg 0.57 0.53 0.53 666440
weighted avg 0.79 0.84 0.81 666440
Accuracy: 0.8436243322729728
LR_9_id
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.93 0.50 0.65 28055468
1 0.60 0.95 0.73 21729815
accuracy 0.70 49785283
macro avg 0.76 0.73 0.69 49785283
weighted avg 0.78 0.70 0.69 49785283
Accuracy: 0.6972257444032205
0-1%
precision recall f1-score support
0 0.93 0.51 0.66 27764588
1 0.54 0.93 0.68 17098553
accuracy 0.67 44863141
macro avg 0.73 0.72 0.67 44863141
weighted avg 0.78 0.67 0.67 44863141
Accuracy: 0.6705027630588772
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: 0.9352914898218941
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
Treshold: 0.5
All
precision recall f1-score support
0 0.82 0.75 0.79 28055468
1 0.71 0.79 0.75 21729815
accuracy 0.77 49785283
macro avg 0.77 0.77 0.77 49785283
weighted avg 0.77 0.77 0.77 49785283
Accuracy: 0.7691977968669979
precision recall f1-score support
0 0.82 0.75 0.79 28055468
1 0.71 0.79 0.75 21729815
accuracy 0.77 49785283
macro avg 0.77 0.77 0.77 49785283
weighted avg 0.77 0.77 0.77 49785283
Accuracy: 0.7691977968669979
0-1%
precision recall f1-score support
0 0.82 0.76 0.79 27764588
1 0.65 0.74 0.69 17098553
accuracy 0.75 44863141
macro avg 0.74 0.75 0.74 44863141
weighted avg 0.76 0.75 0.75 44863141
Accuracy: 0.7504096960130366
1-10%
precision recall f1-score support
0 0.09 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.93 4452351
macro avg 0.51 0.50 0.48 4452351
weighted avg 0.88 0.93 0.90 4452351
Accuracy: 0.934903604859545
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
Treshold: 0.6
All
precision recall f1-score support
0 0.76 0.87 0.81 28055468
1 0.79 0.64 0.71 21729815
accuracy 0.77 49785283
macro avg 0.77 0.75 0.76 49785283
weighted avg 0.77 0.77 0.76 49785283
Accuracy: 0.7688077016655706
0-1%
precision recall f1-score support
0 0.76 0.87 0.81 27764588
1 0.73 0.55 0.63 17098553
accuracy 0.75 44863141
macro avg 0.74 0.71 0.72 44863141
weighted avg 0.75 0.75 0.74 44863141
Accuracy: 0.7500269987783512
1-10%
precision recall f1-score support
0 0.10 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.93 4452351
macro avg 0.52 0.50 0.48 4452351
weighted avg 0.88 0.93 0.90 4452351
Accuracy: 0.9343978046654453
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
Treshold: 0.7
All
precision recall f1-score support
0 0.70 0.94 0.80 28055468
1 0.85 0.48 0.62 21729815
accuracy 0.74 49785283
macro avg 0.78 0.71 0.71 49785283
weighted avg 0.77 0.74 0.72 49785283
Accuracy: 0.7375293216672083
0-1%
precision recall f1-score support
0 0.70 0.95 0.80 27764588
1 0.80 0.34 0.48 17098553
accuracy 0.72 44863141
macro avg 0.75 0.64 0.64 44863141
weighted avg 0.74 0.72 0.68 44863141
Accuracy: 0.7154479665166557
1-10%
precision recall f1-score support
0 0.10 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: 0.9330773786702801
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
Treshold: 0.8
All
precision recall f1-score support
0 0.66 0.97 0.78 28055468
1 0.90 0.35 0.50 21729815
accuracy 0.70 49785283
macro avg 0.78 0.66 0.64 49785283
weighted avg 0.76 0.70 0.66 49785283
Accuracy: 0.698341777026757
0-1%
precision recall f1-score support
0 0.66 0.98 0.79 27764588
1 0.84 0.17 0.29 17098553
accuracy 0.67 44863141
macro avg 0.75 0.58 0.54 44863141
weighted avg 0.73 0.67 0.60 44863141
Accuracy: 0.6723767290391014
1-10%
precision recall f1-score support
0 0.10 0.01 0.02 287564
1 0.94 0.99 0.96 4164787
accuracy 0.93 4452351
macro avg 0.52 0.50 0.49 4452351
weighted avg 0.88 0.93 0.90 4452351
Accuracy: 0.9288881312367331
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
Treshold: 0.9
All
precision recall f1-score support
0 0.63 0.99 0.77 28055468
1 0.93 0.24 0.38 21729815
accuracy 0.66 49785283
macro avg 0.78 0.61 0.57 49785283
weighted avg 0.76 0.66 0.60 49785283
Accuracy: 0.6604677731770652
0-1%
precision recall f1-score support
0 0.63 1.00 0.77 27764588
1 0.87 0.04 0.08 17098553
accuracy 0.63 44863141
macro avg 0.75 0.52 0.43 44863141
weighted avg 0.72 0.63 0.51 44863141
Accuracy: 0.6329175213122059
1-10%
precision recall f1-score support
0 0.10 0.07 0.08 287564
1 0.94 0.96 0.95 4164787
accuracy 0.90 4452351
macro avg 0.52 0.51 0.52 4452351
weighted avg 0.88 0.90 0.89 4452351
Accuracy: 0.9029908019381221
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: 0.3
All
precision recall f1-score support
0 0.92 0.52 0.67 26119367
1 0.62 0.95 0.75 21615229
accuracy 0.72 47734596
macro avg 0.77 0.74 0.71 47734596
weighted avg 0.79 0.72 0.71 47734596
Accuracy: 0.7150067845970667
0-1%
precision recall f1-score support
0 0.97 0.89 0.93 12053010
1 0.12 0.36 0.18 508421
accuracy 0.87 12561431
macro avg 0.55 0.63 0.56 12561431
weighted avg 0.94 0.87 0.90 12561431
Accuracy: 0.8705681701392143
1-10%
precision recall f1-score support
0 0.78 0.22 0.34 13368467
1 0.57 0.94 0.71 14466820
accuracy 0.59 27835287
macro avg 0.67 0.58 0.52 27835287
weighted avg 0.67 0.59 0.53 27835287
Accuracy: 0.5947522653529672
10-20%
precision recall f1-score support
0 0.47 0.00 0.00 503365
1 0.87 1.00 0.93 3387274
accuracy 0.87 3890639
macro avg 0.67 0.50 0.47 3890639
weighted avg 0.82 0.87 0.81 3890639
Accuracy: 0.8705922086320524
20-40%
precision recall f1-score support
0 0.83 0.00 0.00 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.88 0.50 0.48 2117913
weighted avg 0.92 0.93 0.90 2117913
Accuracy: 0.9303635229586862
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.48 0.50 0.49 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9623689409934939
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 3093
1 0.98 1.00 0.99 120943
accuracy 0.98 124036
macro avg 0.49 0.50 0.49 124036
weighted avg 0.95 0.98 0.96 124036
Accuracy: 0.9750636911864298
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.98 99395
macro avg 0.49 0.50 0.49 99395
weighted avg 0.95 0.98 0.97 99395
Accuracy: 0.9765782987071784
Treshold: 0.5
All
precision recall f1-score support
0 0.82 0.75 0.78 26119367
1 0.73 0.80 0.76 21615229
accuracy 0.77 47734596
macro avg 0.77 0.78 0.77 47734596
weighted avg 0.78 0.77 0.77 47734596
Accuracy: 0.7744482848456494
precision recall f1-score support
0 0.82 0.75 0.78 26119367
1 0.73 0.80 0.76 21615229
accuracy 0.77 47734596
macro avg 0.77 0.78 0.77 47734596
weighted avg 0.78 0.77 0.77 47734596
Accuracy: 0.7744482848456494
0-1%
precision recall f1-score support
0 0.96 0.99 0.97 12053010
1 0.22 0.09 0.13 508421
accuracy 0.95 12561431
macro avg 0.59 0.54 0.55 12561431
weighted avg 0.93 0.95 0.94 12561431
Accuracy: 0.9507335589392641
1-10%
precision recall f1-score support
0 0.67 0.58 0.62 13368467
1 0.65 0.74 0.69 14466820
accuracy 0.66 27835287
macro avg 0.66 0.66 0.66 27835287
weighted avg 0.66 0.66 0.66 27835287
Accuracy: 0.660770338024537
10-20%
precision recall f1-score support
0 0.27 0.01 0.02 503365
1 0.87 1.00 0.93 3387274
accuracy 0.87 3890639
macro avg 0.57 0.50 0.47 3890639
weighted avg 0.79 0.87 0.81 3890639
Accuracy: 0.8687341590931464
20-40%
precision recall f1-score support
0 0.67 0.00 0.00 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.80 0.50 0.48 2117913
weighted avg 0.91 0.93 0.90 2117913
Accuracy: 0.9303734383801412
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.48 0.50 0.49 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9623689409934939
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 3093
1 0.98 1.00 0.99 120943
accuracy 0.98 124036
macro avg 0.49 0.50 0.49 124036
weighted avg 0.95 0.98 0.96 124036
Accuracy: 0.9750636911864298
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.98 99395
macro avg 0.49 0.50 0.49 99395
weighted avg 0.95 0.98 0.97 99395
Accuracy: 0.9765782987071784
Treshold: 0.6
All
precision recall f1-score support
0 0.76 0.85 0.80 26119367
1 0.79 0.67 0.72 21615229
accuracy 0.77 47734596
macro avg 0.77 0.76 0.76 47734596
weighted avg 0.77 0.77 0.77 47734596
Accuracy: 0.769888635906754
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.34 0.01 0.02 508421
accuracy 0.96 12561431
macro avg 0.65 0.51 0.50 12561431
weighted avg 0.93 0.96 0.94 12561431
Accuracy: 0.9590201944348538
1-10%
precision recall f1-score support
0 0.61 0.77 0.68 13368467
1 0.72 0.54 0.62 14466820
accuracy 0.65 27835287
macro avg 0.66 0.65 0.65 27835287
weighted avg 0.66 0.65 0.65 27835287
Accuracy: 0.6498366264375144
10-20%
precision recall f1-score support
0 0.22 0.02 0.04 503365
1 0.87 0.99 0.93 3387274
accuracy 0.86 3890639
macro avg 0.55 0.50 0.48 3890639
weighted avg 0.79 0.86 0.81 3890639
Accuracy: 0.8642641992742066
20-40%
precision recall f1-score support
0 0.53 0.00 0.00 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.73 0.50 0.48 2117913
weighted avg 0.90 0.93 0.90 2117913
Accuracy: 0.9303682445879505
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.48 0.50 0.49 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9623689409934939
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 3093
1 0.98 1.00 0.99 120943
accuracy 0.98 124036
macro avg 0.49 0.50 0.49 124036
weighted avg 0.95 0.98 0.96 124036
Accuracy: 0.9750636911864298
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.98 99395
macro avg 0.49 0.50 0.49 99395
weighted avg 0.95 0.98 0.97 99395
Accuracy: 0.9765782987071784
Treshold: 0.7
All
precision recall f1-score support
0 0.69 0.93 0.79 26119367
1 0.85 0.50 0.63 21615229
accuracy 0.73 47734596
macro avg 0.77 0.71 0.71 47734596
weighted avg 0.76 0.73 0.72 47734596
Accuracy: 0.7344339313147219
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 0.54 0.91 0.68 13368467
1 0.78 0.30 0.43 14466820
accuracy 0.59 27835287
macro avg 0.66 0.60 0.56 27835287
weighted avg 0.67 0.59 0.55 27835287
Accuracy: 0.5907556117528086
10-20%
precision recall f1-score support
0 0.20 0.05 0.08 503365
1 0.87 0.97 0.92 3387274
accuracy 0.85 3890639
macro avg 0.54 0.51 0.50 3890639
weighted avg 0.79 0.85 0.81 3890639
Accuracy: 0.8503762492485167
20-40%
precision recall f1-score support
0 0.39 0.00 0.00 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.66 0.50 0.48 2117913
weighted avg 0.89 0.93 0.90 2117913
Accuracy: 0.9302785336319291
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.48 0.50 0.49 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9623689409934939
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 3093
1 0.98 1.00 0.99 120943
accuracy 0.98 124036
macro avg 0.49 0.50 0.49 124036
weighted avg 0.95 0.98 0.96 124036
Accuracy: 0.9750636911864298
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.98 99395
macro avg 0.49 0.50 0.49 99395
weighted avg 0.95 0.98 0.97 99395
Accuracy: 0.9765782987071784
Treshold: 0.8
All
precision recall f1-score support
0 0.64 0.97 0.77 26119367
1 0.89 0.35 0.51 21615229
accuracy 0.69 47734596
macro avg 0.77 0.66 0.64 47734596
weighted avg 0.76 0.69 0.65 47734596
Accuracy: 0.6878022807608972
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 0.50 0.98 0.66 13368467
1 0.83 0.09 0.17 14466820
accuracy 0.52 27835287
macro avg 0.66 0.54 0.41 27835287
weighted avg 0.67 0.52 0.40 27835287
Accuracy: 0.5182305826413789
10-20%
precision recall f1-score support
0 0.18 0.16 0.17 503365
1 0.88 0.89 0.88 3387274
accuracy 0.80 3890639
macro avg 0.53 0.53 0.53 3890639
weighted avg 0.79 0.80 0.79 3890639
Accuracy: 0.7975322305667527
20-40%
precision recall f1-score support
0 0.23 0.01 0.01 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.58 0.50 0.49 2117913
weighted avg 0.88 0.93 0.90 2117913
Accuracy: 0.9295273224159821
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.48 0.50 0.49 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9623689409934939
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 3093
1 0.98 1.00 0.99 120943
accuracy 0.98 124036
macro avg 0.49 0.50 0.49 124036
weighted avg 0.95 0.98 0.96 124036
Accuracy: 0.9750636911864298
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.98 99395
macro avg 0.49 0.50 0.49 99395
weighted avg 0.95 0.98 0.97 99395
Accuracy: 0.9765782987071784
Treshold: 0.9
All
precision recall f1-score support
0 0.61 0.98 0.75 26119367
1 0.93 0.23 0.37 21615229
accuracy 0.64 47734596
macro avg 0.77 0.61 0.56 47734596
weighted avg 0.75 0.64 0.58 47734596
Accuracy: 0.6434244881846282
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 0.89 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.68 0.50 0.32 27835287
weighted avg 0.69 0.48 0.31 27835287
Accuracy: 0.48032851251003805
10-20%
precision recall f1-score support
0 0.15 0.58 0.24 503365
1 0.89 0.52 0.66 3387274
accuracy 0.53 3890639
macro avg 0.52 0.55 0.45 3890639
weighted avg 0.80 0.53 0.60 3890639
Accuracy: 0.5285951742117426
20-40%
precision recall f1-score support
0 0.13 0.02 0.04 147488
1 0.93 0.99 0.96 1970425
accuracy 0.92 2117913
macro avg 0.53 0.51 0.50 2117913
weighted avg 0.88 0.92 0.90 2117913
Accuracy: 0.9214986640149997
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.48 0.50 0.49 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9623689409934939
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 3093
1 0.98 1.00 0.99 120943
accuracy 0.98 124036
macro avg 0.49 0.50 0.49 124036
weighted avg 0.95 0.98 0.96 124036
Accuracy: 0.9750636911864298
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.98 99395
macro avg 0.49 0.50 0.49 99395
weighted avg 0.95 0.98 0.97 99395
Accuracy: 0.9765782987071784
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.92 0.54 0.68 24893266
1 0.63 0.95 0.75 20563095
accuracy 0.72 45456361
macro avg 0.78 0.74 0.72 45456361
weighted avg 0.79 0.72 0.71 45456361
Accuracy: 0.7214759008095699
0-1%
precision recall f1-score support
0 1.00 0.99 1.00 4873589
1 0.02 0.11 0.03 3872
accuracy 0.99 4877461
macro avg 0.51 0.55 0.51 4877461
weighted avg 1.00 0.99 1.00 4877461
Accuracy: 0.994172787850072
1-10%
precision recall f1-score support
0 0.89 0.50 0.64 16949103
1 0.45 0.87 0.59 8016772
accuracy 0.62 24965875
macro avg 0.67 0.68 0.62 24965875
weighted avg 0.75 0.62 0.62 24965875
Accuracy: 0.6171907453674266
10-20%
precision recall f1-score support
0 0.47 0.02 0.04 2057494
1 0.73 0.99 0.84 5461156
accuracy 0.73 7518650
macro avg 0.60 0.51 0.44 7518650
weighted avg 0.66 0.73 0.62 7518650
Accuracy: 0.7257084716006198
20-40%
precision recall f1-score support
0 0.52 0.01 0.01 744974
1 0.85 1.00 0.92 4060539
accuracy 0.85 4805513
macro avg 0.68 0.50 0.46 4805513
weighted avg 0.79 0.85 0.78 4805513
Accuracy: 0.84502237326171
40-80%
precision recall f1-score support
0 0.87 0.00 0.00 235909
1 0.91 1.00 0.95 2483775
accuracy 0.91 2719684
macro avg 0.89 0.50 0.48 2719684
weighted avg 0.91 0.91 0.87 2719684
Accuracy: 0.9132781602568534
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 18577
1 0.94 1.00 0.97 296772
accuracy 0.94 315349
macro avg 0.47 0.50 0.48 315349
weighted avg 0.89 0.94 0.91 315349
Accuracy: 0.9410906646287129
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 13620
1 0.95 1.00 0.97 240209
accuracy 0.95 253829
macro avg 0.47 0.50 0.49 253829
weighted avg 0.90 0.95 0.92 253829
Accuracy: 0.946341828553869
Treshold: 0.5
All
precision recall f1-score support
0 0.83 0.75 0.79 24893266
1 0.73 0.81 0.77 20563095
accuracy 0.78 45456361
macro avg 0.78 0.78 0.78 45456361
weighted avg 0.78 0.78 0.78 45456361
Accuracy: 0.7766574407485016
precision recall f1-score support
0 0.83 0.75 0.79 24893266
1 0.73 0.81 0.77 20563095
accuracy 0.78 45456361
macro avg 0.78 0.78 0.78 45456361
weighted avg 0.78 0.78 0.78 45456361
Accuracy: 0.7766574187493803
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.09 0.02 0.03 3872
accuracy 1.00 4877461
macro avg 0.54 0.51 0.52 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9990599617300887
1-10%
precision recall f1-score support
0 0.79 0.80 0.79 16949103
1 0.57 0.56 0.56 8016772
accuracy 0.72 24965875
macro avg 0.68 0.68 0.68 24965875
weighted avg 0.72 0.72 0.72 24965875
Accuracy: 0.721119407991909
10-20%
precision recall f1-score support
0 0.42 0.13 0.20 2057494
1 0.74 0.93 0.83 5461156
accuracy 0.71 7518650
macro avg 0.58 0.53 0.51 7518650
weighted avg 0.65 0.71 0.65 7518650
Accuracy: 0.7135057490373937
20-40%
precision recall f1-score support
0 0.32 0.02 0.04 744974
1 0.85 0.99 0.91 4060539
accuracy 0.84 4805513
macro avg 0.58 0.51 0.48 4805513
weighted avg 0.77 0.84 0.78 4805513
Accuracy: 0.8411634720372206
40-80%
precision recall f1-score support
0 0.71 0.00 0.00 235909
1 0.91 1.00 0.95 2483775
accuracy 0.91 2719684
macro avg 0.81 0.50 0.48 2719684
weighted avg 0.90 0.91 0.87 2719684
Accuracy: 0.9133285337561275
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 18577
1 0.94 1.00 0.97 296772
accuracy 0.94 315349
macro avg 0.47 0.50 0.48 315349
weighted avg 0.89 0.94 0.91 315349
Accuracy: 0.9410906646287129
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 13620
1 0.95 1.00 0.97 240209
accuracy 0.95 253829
macro avg 0.47 0.50 0.49 253829
weighted avg 0.90 0.95 0.92 253829
Accuracy: 0.946341828553869
Treshold: 0.6
All
precision recall f1-score support
0 0.76 0.84 0.80 24893266
1 0.78 0.68 0.73 20563095
accuracy 0.77 45456361
macro avg 0.77 0.76 0.77 45456361
weighted avg 0.77 0.77 0.77 45456361
Accuracy: 0.7719461529267598
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.27 0.00 0.01 3872
accuracy 1.00 4877461
macro avg 0.63 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992014287761604
1-10%
precision recall f1-score support
0 0.74 0.92 0.82 16949103
1 0.64 0.31 0.42 8016772
accuracy 0.72 24965875
macro avg 0.69 0.61 0.62 24965875
weighted avg 0.71 0.72 0.69 24965875
Accuracy: 0.722776590045412
10-20%
precision recall f1-score support
0 0.39 0.28 0.32 2057494
1 0.75 0.84 0.79 5461156
accuracy 0.68 7518650
macro avg 0.57 0.56 0.56 7518650
weighted avg 0.66 0.68 0.67 7518650
Accuracy: 0.6844458779169132
20-40%
precision recall f1-score support
0 0.28 0.05 0.08 744974
1 0.85 0.98 0.91 4060539
accuracy 0.83 4805513
macro avg 0.56 0.51 0.49 4805513
weighted avg 0.76 0.83 0.78 4805513
Accuracy: 0.8333097839918444
40-80%
precision recall f1-score support
0 0.59 0.00 0.01 235909
1 0.91 1.00 0.95 2483775
accuracy 0.91 2719684
macro avg 0.75 0.50 0.48 2719684
weighted avg 0.89 0.91 0.87 2719684
Accuracy: 0.9133325783436606
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 18577
1 0.94 1.00 0.97 296772
accuracy 0.94 315349
macro avg 0.47 0.50 0.48 315349
weighted avg 0.89 0.94 0.91 315349
Accuracy: 0.9410906646287129
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 13620
1 0.95 1.00 0.97 240209
accuracy 0.95 253829
macro avg 0.47 0.50 0.49 253829
weighted avg 0.90 0.95 0.92 253829
Accuracy: 0.946341828553869
Treshold: 0.7
All
precision recall f1-score support
0 0.70 0.92 0.79 24893266
1 0.84 0.52 0.64 20563095
accuracy 0.74 45456361
macro avg 0.77 0.72 0.72 45456361
weighted avg 0.76 0.74 0.72 45456361
Accuracy: 0.7373577704559324
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 0.69 0.99 0.81 16949103
1 0.73 0.07 0.12 8016772
accuracy 0.69 24965875
macro avg 0.71 0.53 0.47 24965875
weighted avg 0.70 0.69 0.59 24965875
Accuracy: 0.6922714705573108
10-20%
precision recall f1-score support
0 0.35 0.55 0.42 2057494
1 0.78 0.61 0.68 5461156
accuracy 0.59 7518650
macro avg 0.56 0.58 0.55 7518650
weighted avg 0.66 0.59 0.61 7518650
Accuracy: 0.5907341078518085
20-40%
precision recall f1-score support
0 0.25 0.11 0.15 744974
1 0.85 0.94 0.89 4060539
accuracy 0.81 4805513
macro avg 0.55 0.53 0.52 4805513
weighted avg 0.76 0.81 0.78 4805513
Accuracy: 0.8113581213909941
40-80%
precision recall f1-score support
0 0.44 0.01 0.01 235909
1 0.91 1.00 0.95 2483775
accuracy 0.91 2719684
macro avg 0.68 0.50 0.48 2719684
weighted avg 0.87 0.91 0.87 2719684
Accuracy: 0.9131035076133845
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 18577
1 0.94 1.00 0.97 296772
accuracy 0.94 315349
macro avg 0.47 0.50 0.48 315349
weighted avg 0.89 0.94 0.91 315349
Accuracy: 0.9410906646287129
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 13620
1 0.95 1.00 0.97 240209
accuracy 0.95 253829
macro avg 0.47 0.50 0.49 253829
weighted avg 0.90 0.95 0.92 253829
Accuracy: 0.946341828553869
Treshold: 0.8
All
precision recall f1-score support
0 0.64 0.96 0.77 24893266
1 0.88 0.36 0.51 20563095
accuracy 0.69 45456361
macro avg 0.76 0.66 0.64 45456361
weighted avg 0.75 0.69 0.65 45456361
Accuracy: 0.6873564516086098
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 0.29 0.90 0.44 2057494
1 0.83 0.19 0.30 5461156
accuracy 0.38 7518650
macro avg 0.56 0.54 0.37 7518650
weighted avg 0.68 0.38 0.34 7518650
Accuracy: 0.38111828586248864
20-40%
precision recall f1-score support
0 0.22 0.28 0.25 744974
1 0.86 0.82 0.84 4060539
accuracy 0.74 4805513
macro avg 0.54 0.55 0.54 4805513
weighted avg 0.76 0.74 0.75 4805513
Accuracy: 0.7368172763240886
40-80%
precision recall f1-score support
0 0.29 0.01 0.03 235909
1 0.91 1.00 0.95 2483775
accuracy 0.91 2719684
macro avg 0.60 0.51 0.49 2719684
weighted avg 0.86 0.91 0.87 2719684
Accuracy: 0.9114180176814659
80-90%
precision recall f1-score support
0 1.00 0.00 0.00 18577
1 0.94 1.00 0.97 296772
accuracy 0.94 315349
macro avg 0.97 0.50 0.48 315349
weighted avg 0.94 0.94 0.91 315349
Accuracy: 0.9410938357185213
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 13620
1 0.95 1.00 0.97 240209
accuracy 0.95 253829
macro avg 0.47 0.50 0.49 253829
weighted avg 0.90 0.95 0.92 253829
Accuracy: 0.946341828553869
Treshold: 0.9
All
precision recall f1-score support
0 0.60 0.98 0.75 24893266
1 0.91 0.22 0.36 20563095
accuracy 0.64 45456361
macro avg 0.76 0.60 0.55 45456361
weighted avg 0.74 0.64 0.57 45456361
Accuracy: 0.6374376294662039
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 0.18 0.73 0.29 744974
1 0.89 0.39 0.54 4060539
accuracy 0.44 4805513
macro avg 0.53 0.56 0.41 4805513
weighted avg 0.78 0.44 0.50 4805513
Accuracy: 0.4412812950459191
40-80%
precision recall f1-score support
0 0.18 0.05 0.08 235909
1 0.92 0.98 0.95 2483775
accuracy 0.90 2719684
macro avg 0.55 0.52 0.51 2719684
weighted avg 0.85 0.90 0.87 2719684
Accuracy: 0.8963681074713091
80-90%
precision recall f1-score support
0 1.00 0.00 0.00 18577
1 0.94 1.00 0.97 296772
accuracy 0.94 315349
macro avg 0.97 0.50 0.49 315349
weighted avg 0.94 0.94 0.91 315349
Accuracy: 0.9411065200777551
90-100%
precision recall f1-score support
0 1.00 0.00 0.00 13620
1 0.95 1.00 0.97 240209
accuracy 0.95 253829
macro avg 0.97 0.50 0.49 253829
weighted avg 0.95 0.95 0.92 253829
Accuracy: 0.9463497078741988
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.93 0.55 0.69 22531902
1 0.61 0.94 0.74 16938696
accuracy 0.72 39470598
macro avg 0.77 0.75 0.72 39470598
weighted avg 0.79 0.72 0.72 39470598
Accuracy: 0.7210986263750045
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 0.95 0.82 0.88 11439888
1 0.29 0.64 0.40 1271288
accuracy 0.81 12711176
macro avg 0.62 0.73 0.64 12711176
weighted avg 0.89 0.81 0.84 12711176
Accuracy: 0.8067427435510294
10-20%
precision recall f1-score support
0 0.78 0.26 0.39 5044441
1 0.48 0.90 0.63 3812372
accuracy 0.53 8856813
macro avg 0.63 0.58 0.51 8856813
weighted avg 0.65 0.53 0.49 8856813
Accuracy: 0.5347455117320418
20-40%
precision recall f1-score support
0 0.60 0.06 0.12 2995598
1 0.66 0.98 0.79 5583215
accuracy 0.66 8578813
macro avg 0.63 0.52 0.45 8578813
weighted avg 0.64 0.66 0.55 8578813
Accuracy: 0.6582191498987098
40-80%
precision recall f1-score support
0 0.54 0.01 0.03 1295061
1 0.80 1.00 0.89 5001564
accuracy 0.79 6296625
macro avg 0.67 0.51 0.46 6296625
weighted avg 0.74 0.79 0.71 6296625
Accuracy: 0.794737815893435
80-90%
precision recall f1-score support
0 0.78 0.00 0.00 117971
1 0.85 1.00 0.92 692761
accuracy 0.85 810732
macro avg 0.82 0.50 0.46 810732
weighted avg 0.84 0.85 0.79 810732
Accuracy: 0.8547177118949295
90-100%
precision recall f1-score support
0 0.78 0.00 0.00 88944
1 0.87 1.00 0.93 577496
accuracy 0.87 666440
macro avg 0.82 0.50 0.47 666440
weighted avg 0.86 0.87 0.80 666440
Accuracy: 0.866624152211752
Treshold: 0.5
All
precision recall f1-score support
0 0.85 0.74 0.79 22531902
1 0.71 0.82 0.76 16938696
accuracy 0.78 39470598
macro avg 0.78 0.78 0.78 39470598
weighted avg 0.79 0.78 0.78 39470598
Accuracy: 0.7763814472737404
precision recall f1-score support
0 0.85 0.74 0.79 22531902
1 0.71 0.82 0.76 16938696
accuracy 0.78 39470598
macro avg 0.78 0.78 0.78 39470598
weighted avg 0.79 0.78 0.78 39470598
Accuracy: 0.7763814726090544
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 0.92 0.97 0.94 11439888
1 0.45 0.25 0.32 1271288
accuracy 0.89 12711176
macro avg 0.69 0.61 0.63 12711176
weighted avg 0.87 0.89 0.88 12711176
Accuracy: 0.8945713598804705
10-20%
precision recall f1-score support
0 0.71 0.65 0.68 5044441
1 0.58 0.64 0.61 3812372
accuracy 0.65 8856813
macro avg 0.64 0.65 0.64 8856813
weighted avg 0.65 0.65 0.65 8856813
Accuracy: 0.6476143280884444
20-40%
precision recall f1-score support
0 0.56 0.25 0.35 2995598
1 0.69 0.89 0.78 5583215
accuracy 0.67 8578813
macro avg 0.62 0.57 0.56 8578813
weighted avg 0.64 0.67 0.63 8578813
Accuracy: 0.6684184630204668
40-80%
precision recall f1-score support
0 0.43 0.05 0.09 1295061
1 0.80 0.98 0.88 5001564
accuracy 0.79 6296625
macro avg 0.62 0.52 0.48 6296625
weighted avg 0.72 0.79 0.72 6296625
Accuracy: 0.7912273638655629
80-90%
precision recall f1-score support
0 0.69 0.01 0.02 117971
1 0.86 1.00 0.92 692761
accuracy 0.86 810732
macro avg 0.77 0.50 0.47 810732
weighted avg 0.83 0.86 0.79 810732
Accuracy: 0.8551790234010745
90-100%
precision recall f1-score support
0 0.75 0.00 0.01 88944
1 0.87 1.00 0.93 577496
accuracy 0.87 666440
macro avg 0.81 0.50 0.47 666440
weighted avg 0.85 0.87 0.81 666440
Accuracy: 0.8669467618990456
Treshold: 0.6
All
precision recall f1-score support
0 0.79 0.83 0.81 22531902
1 0.75 0.71 0.73 16938696
accuracy 0.78 39470598
macro avg 0.77 0.77 0.77 39470598
weighted avg 0.78 0.78 0.78 39470598
Accuracy: 0.7772158911805694
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 0.99 0.95 11439888
1 0.56 0.09 0.15 1271288
accuracy 0.90 12711176
macro avg 0.73 0.54 0.55 12711176
weighted avg 0.87 0.90 0.87 12711176
Accuracy: 0.9016999685945659
10-20%
precision recall f1-score support
0 0.65 0.85 0.73 5044441
1 0.66 0.40 0.49 3812372
accuracy 0.65 8856813
macro avg 0.65 0.62 0.61 8856813
weighted avg 0.65 0.65 0.63 8856813
Accuracy: 0.6521726268805721
20-40%
precision recall f1-score support
0 0.52 0.43 0.47 2995598
1 0.72 0.78 0.75 5583215
accuracy 0.66 8578813
macro avg 0.62 0.61 0.61 8578813
weighted avg 0.65 0.66 0.65 8578813
Accuracy: 0.6615873314874681
40-80%
precision recall f1-score support
0 0.40 0.09 0.15 1295061
1 0.80 0.96 0.88 5001564
accuracy 0.78 6296625
macro avg 0.60 0.53 0.51 6296625
weighted avg 0.72 0.78 0.73 6296625
Accuracy: 0.7849500327556429
80-90%
precision recall f1-score support
0 0.57 0.02 0.03 117971
1 0.86 1.00 0.92 692761
accuracy 0.86 810732
macro avg 0.71 0.51 0.48 810732
weighted avg 0.81 0.86 0.79 810732
Accuracy: 0.8550297755608511
90-100%
precision recall f1-score support
0 0.69 0.01 0.02 88944
1 0.87 1.00 0.93 577496
accuracy 0.87 666440
macro avg 0.78 0.50 0.47 666440
weighted avg 0.84 0.87 0.81 666440
Accuracy: 0.867248364443911
Treshold: 0.7
All
precision recall f1-score support
0 0.73 0.90 0.80 22531902
1 0.80 0.56 0.66 16938696
accuracy 0.75 39470598
macro avg 0.77 0.73 0.73 39470598
weighted avg 0.76 0.75 0.74 39470598
Accuracy: 0.7512346785321063
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 0.73 0.00 0.01 1271288
accuracy 0.90 12711176
macro avg 0.81 0.50 0.48 12711176
weighted avg 0.88 0.90 0.85 12711176
Accuracy: 0.9001832717916894
10-20%
precision recall f1-score support
0 0.59 0.97 0.74 5044441
1 0.77 0.11 0.20 3812372
accuracy 0.60 8856813
macro avg 0.68 0.54 0.47 8856813
weighted avg 0.67 0.60 0.50 8856813
Accuracy: 0.603835488002287
20-40%
precision recall f1-score support
0 0.46 0.68 0.55 2995598
1 0.77 0.57 0.65 5583215
accuracy 0.61 8578813
macro avg 0.61 0.62 0.60 8578813
weighted avg 0.66 0.61 0.62 8578813
Accuracy: 0.6066986190280637
40-80%
precision recall f1-score support
0 0.37 0.18 0.25 1295061
1 0.81 0.92 0.86 5001564
accuracy 0.77 6296625
macro avg 0.59 0.55 0.55 6296625
weighted avg 0.72 0.77 0.74 6296625
Accuracy: 0.7682077303317253
80-90%
precision recall f1-score support
0 0.41 0.03 0.05 117971
1 0.86 0.99 0.92 692761
accuracy 0.85 810732
macro avg 0.64 0.51 0.48 810732
weighted avg 0.79 0.85 0.79 810732
Accuracy: 0.8529205705461238
90-100%
precision recall f1-score support
0 0.57 0.02 0.03 88944
1 0.87 1.00 0.93 577496
accuracy 0.87 666440
macro avg 0.72 0.51 0.48 666440
weighted avg 0.83 0.87 0.81 666440
Accuracy: 0.8671103175079528
Treshold: 0.8
All
precision recall f1-score support
0 0.67 0.95 0.78 22531902
1 0.84 0.37 0.52 16938696
accuracy 0.70 39470598
macro avg 0.75 0.66 0.65 39470598
weighted avg 0.74 0.70 0.67 39470598
Accuracy: 0.7008786894994599
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 0.87 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.72 0.50 0.36 8856813
weighted avg 0.70 0.57 0.41 8856813
Accuracy: 0.5695581469316333
20-40%
precision recall f1-score support
0 0.38 0.93 0.54 2995598
1 0.84 0.20 0.32 5583215
accuracy 0.45 8578813
macro avg 0.61 0.56 0.43 8578813
weighted avg 0.68 0.45 0.40 8578813
Accuracy: 0.45304845786940456
40-80%
precision recall f1-score support
0 0.33 0.38 0.35 1295061
1 0.83 0.80 0.81 5001564
accuracy 0.71 6296625
macro avg 0.58 0.59 0.58 6296625
weighted avg 0.73 0.71 0.72 6296625
Accuracy: 0.7117698767196713
80-90%
precision recall f1-score support
0 0.32 0.05 0.09 117971
1 0.86 0.98 0.92 692761
accuracy 0.85 810732
macro avg 0.59 0.52 0.50 810732
weighted avg 0.78 0.85 0.80 810732
Accuracy: 0.8458294479556746
90-100%
precision recall f1-score support
0 0.38 0.03 0.06 88944
1 0.87 0.99 0.93 577496
accuracy 0.86 666440
macro avg 0.62 0.51 0.49 666440
weighted avg 0.80 0.86 0.81 666440
Accuracy: 0.8637491747194046
Treshold: 0.9
All
precision recall f1-score support
0 0.62 0.98 0.76 22531902
1 0.87 0.19 0.31 16938696
accuracy 0.64 39470598
macro avg 0.74 0.58 0.53 39470598
weighted avg 0.73 0.64 0.56 39470598
Accuracy: 0.6394140772835517
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 0.94 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.64 0.50 0.26 8578813
weighted avg 0.73 0.35 0.18 8578813
Accuracy: 0.34919236495771616
40-80%
precision recall f1-score support
0 0.25 0.78 0.38 1295061
1 0.87 0.40 0.55 5001564
accuracy 0.48 6296625
macro avg 0.56 0.59 0.46 6296625
weighted avg 0.75 0.48 0.51 6296625
Accuracy: 0.47539197586008375
80-90%
precision recall f1-score support
0 0.26 0.19 0.22 117971
1 0.87 0.91 0.89 692761
accuracy 0.80 810732
macro avg 0.57 0.55 0.55 810732
weighted avg 0.78 0.80 0.79 810732
Accuracy: 0.8047406541249142
90-100%
precision recall f1-score support
0 0.27 0.10 0.15 88944
1 0.87 0.96 0.91 577496
accuracy 0.84 666440
macro avg 0.57 0.53 0.53 666440
weighted avg 0.79 0.84 0.81 666440
Accuracy: 0.8437038593121662
LR_id
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.93 0.55 0.69 28055468
1 0.62 0.95 0.75 21729815
accuracy 0.73 49785283
macro avg 0.78 0.75 0.72 49785283
weighted avg 0.80 0.73 0.72 49785283
Accuracy: 0.725482468383277
0-1%
precision recall f1-score support
0 0.93 0.56 0.70 27764588
1 0.57 0.93 0.70 17098553
accuracy 0.70 44863141
macro avg 0.75 0.75 0.70 44863141
weighted avg 0.79 0.70 0.70 44863141
Accuracy: 0.7018476035817466
1-10%
precision recall f1-score support
0 0.00 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.47 0.50 0.48 4452351
weighted avg 0.87 0.94 0.90 4452351
Accuracy: 0.9354129986607076
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
Treshold: 0.5
All
precision recall f1-score support
0 0.75 0.89 0.81 28055468
1 0.81 0.62 0.70 21729815
accuracy 0.77 49785283
macro avg 0.78 0.75 0.76 49785283
weighted avg 0.78 0.77 0.76 49785283
Accuracy: 0.7704485881902088
precision recall f1-score support
0 0.75 0.89 0.81 28055468
1 0.81 0.62 0.70 21729815
accuracy 0.77 49785283
macro avg 0.78 0.75 0.76 49785283
weighted avg 0.78 0.77 0.76 49785283
Accuracy: 0.7704485881902088
0-1%
precision recall f1-score support
0 0.75 0.90 0.82 27764588
1 0.75 0.52 0.61 17098553
accuracy 0.75 44863141
macro avg 0.75 0.71 0.72 44863141
weighted avg 0.75 0.75 0.74 44863141
Accuracy: 0.7517471636682772
1-10%
precision recall f1-score support
0 0.00 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.47 0.50 0.48 4452351
weighted avg 0.87 0.94 0.90 4452351
Accuracy: 0.9354129986607076
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
Treshold: 0.6
All
precision recall f1-score support
0 0.71 0.93 0.81 28055468
1 0.85 0.52 0.64 21729815
accuracy 0.75 49785283
macro avg 0.78 0.72 0.72 49785283
weighted avg 0.77 0.75 0.74 49785283
Accuracy: 0.748746733045587
0-1%
precision recall f1-score support
0 0.71 0.94 0.81 27764588
1 0.79 0.39 0.52 17098553
accuracy 0.73 44863141
macro avg 0.75 0.66 0.67 44863141
weighted avg 0.74 0.73 0.70 44863141
Accuracy: 0.727664297958986
1-10%
precision recall f1-score support
0 0.00 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.47 0.50 0.48 4452351
weighted avg 0.87 0.94 0.90 4452351
Accuracy: 0.9354129986607076
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
Treshold: 0.7
All
precision recall f1-score support
0 0.69 0.95 0.80 28055468
1 0.87 0.44 0.58 21729815
accuracy 0.73 49785283
macro avg 0.78 0.69 0.69 49785283
weighted avg 0.77 0.73 0.70 49785283
Accuracy: 0.7268623139091125
0-1%
precision recall f1-score support
0 0.69 0.96 0.80 27764588
1 0.82 0.29 0.42 17098553
accuracy 0.70 44863141
macro avg 0.75 0.62 0.61 44863141
weighted avg 0.74 0.70 0.66 44863141
Accuracy: 0.7033788383207498
1-10%
precision recall f1-score support
0 0.00 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.47 0.50 0.48 4452351
weighted avg 0.87 0.94 0.90 4452351
Accuracy: 0.9354129986607076
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
Treshold: 0.8
All
precision recall f1-score support
0 0.66 0.97 0.79 28055468
1 0.90 0.37 0.52 21729815
accuracy 0.70 49785283
macro avg 0.78 0.67 0.65 49785283
weighted avg 0.76 0.70 0.67 49785283
Accuracy: 0.7049265342129319
0-1%
precision recall f1-score support
0 0.66 0.98 0.79 27764588
1 0.84 0.20 0.32 17098553
accuracy 0.68 44863141
macro avg 0.75 0.59 0.55 44863141
weighted avg 0.73 0.68 0.61 44863141
Accuracy: 0.6790363831190509
1-10%
precision recall f1-score support
0 0.00 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.47 0.50 0.48 4452351
weighted avg 0.87 0.94 0.90 4452351
Accuracy: 0.9354129986607076
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
Treshold: 0.9
All
precision recall f1-score support
0 0.64 0.98 0.78 28055468
1 0.92 0.29 0.45 21729815
accuracy 0.68 49785283
macro avg 0.78 0.64 0.61 49785283
weighted avg 0.76 0.68 0.63 49785283
Accuracy: 0.6803179566138049
0-1%
precision recall f1-score support
0 0.64 0.99 0.78 27764588
1 0.86 0.10 0.18 17098553
accuracy 0.65 44863141
macro avg 0.75 0.55 0.48 44863141
weighted avg 0.73 0.65 0.55 44863141
Accuracy: 0.6517278850359586
1-10%
precision recall f1-score support
0 0.00 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.47 0.50 0.48 4452351
weighted avg 0.87 0.94 0.90 4452351
Accuracy: 0.9354129986607076
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: 0.3
All
precision recall f1-score support
0 0.93 0.56 0.70 26119367
1 0.64 0.95 0.76 21615229
accuracy 0.73 47734596
macro avg 0.78 0.75 0.73 47734596
weighted avg 0.80 0.73 0.73 47734596
Accuracy: 0.7342635517434776
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 0.80 0.19 0.31 13368467
1 0.56 0.96 0.71 14466820
accuracy 0.59 27835287
macro avg 0.68 0.57 0.51 27835287
weighted avg 0.67 0.59 0.51 27835287
Accuracy: 0.5876273522884818
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 503365
1 0.87 1.00 0.93 3387274
accuracy 0.87 3890639
macro avg 0.44 0.50 0.47 3890639
weighted avg 0.76 0.87 0.81 3890639
Accuracy: 0.8706215097314348
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.47 0.50 0.48 2117913
weighted avg 0.87 0.93 0.90 2117913
Accuracy: 0.9303616343069805
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.48 0.50 0.49 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9623689409934939
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 3093
1 0.98 1.00 0.99 120943
accuracy 0.98 124036
macro avg 0.49 0.50 0.49 124036
weighted avg 0.95 0.98 0.96 124036
Accuracy: 0.9750636911864298
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.98 99395
macro avg 0.49 0.50 0.49 99395
weighted avg 0.95 0.98 0.97 99395
Accuracy: 0.9765782987071784
Treshold: 0.5
All
precision recall f1-score support
0 0.74 0.88 0.80 26119367
1 0.81 0.63 0.71 21615229
accuracy 0.76 47734596
macro avg 0.78 0.75 0.75 47734596
weighted avg 0.77 0.76 0.76 47734596
Accuracy: 0.7644793935199535
precision recall f1-score support
0 0.74 0.88 0.80 26119367
1 0.81 0.63 0.71 21615229
accuracy 0.76 47734596
macro avg 0.78 0.75 0.75 47734596
weighted avg 0.77 0.76 0.76 47734596
Accuracy: 0.7644793935199535
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 0.59 0.82 0.68 13368467
1 0.74 0.48 0.58 14466820
accuracy 0.64 27835287
macro avg 0.66 0.65 0.63 27835287
weighted avg 0.67 0.64 0.63 27835287
Accuracy: 0.6394443499001825
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 503365
1 0.87 1.00 0.93 3387274
accuracy 0.87 3890639
macro avg 0.44 0.50 0.47 3890639
weighted avg 0.76 0.87 0.81 3890639
Accuracy: 0.8706215097314348
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.47 0.50 0.48 2117913
weighted avg 0.87 0.93 0.90 2117913
Accuracy: 0.9303616343069805
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.48 0.50 0.49 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9623689409934939
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 3093
1 0.98 1.00 0.99 120943
accuracy 0.98 124036
macro avg 0.49 0.50 0.49 124036
weighted avg 0.95 0.98 0.96 124036
Accuracy: 0.9750636911864298
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.98 99395
macro avg 0.49 0.50 0.49 99395
weighted avg 0.95 0.98 0.97 99395
Accuracy: 0.9765782987071784
Treshold: 0.6
All
precision recall f1-score support
0 0.70 0.92 0.79 26119367
1 0.84 0.52 0.64 21615229
accuracy 0.74 47734596
macro avg 0.77 0.72 0.72 47734596
weighted avg 0.77 0.74 0.73 47734596
Accuracy: 0.739951648485723
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 0.55 0.90 0.68 13368467
1 0.77 0.32 0.45 14466820
accuracy 0.60 27835287
macro avg 0.66 0.61 0.57 27835287
weighted avg 0.66 0.60 0.56 27835287
Accuracy: 0.597381841257825
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 503365
1 0.87 1.00 0.93 3387274
accuracy 0.87 3890639
macro avg 0.44 0.50 0.47 3890639
weighted avg 0.76 0.87 0.81 3890639
Accuracy: 0.8706215097314348
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.47 0.50 0.48 2117913
weighted avg 0.87 0.93 0.90 2117913
Accuracy: 0.9303616343069805
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.48 0.50 0.49 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9623689409934939
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 3093
1 0.98 1.00 0.99 120943
accuracy 0.98 124036
macro avg 0.49 0.50 0.49 124036
weighted avg 0.95 0.98 0.96 124036
Accuracy: 0.9750636911864298
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.98 99395
macro avg 0.49 0.50 0.49 99395
weighted avg 0.95 0.98 0.97 99395
Accuracy: 0.9765782987071784
Treshold: 0.7
All
precision recall f1-score support
0 0.67 0.95 0.78 26119367
1 0.87 0.44 0.58 21615229
accuracy 0.72 47734596
macro avg 0.77 0.69 0.68 47734596
weighted avg 0.76 0.72 0.69 47734596
Accuracy: 0.7155299690815441
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 0.52 0.95 0.67 13368467
1 0.80 0.19 0.31 14466820
accuracy 0.56 27835287
macro avg 0.66 0.57 0.49 27835287
weighted avg 0.66 0.56 0.48 27835287
Accuracy: 0.5555012240398312
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 503365
1 0.87 1.00 0.93 3387274
accuracy 0.87 3890639
macro avg 0.44 0.50 0.47 3890639
weighted avg 0.76 0.87 0.81 3890639
Accuracy: 0.8706215097314348
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.47 0.50 0.48 2117913
weighted avg 0.87 0.93 0.90 2117913
Accuracy: 0.9303616343069805
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.48 0.50 0.49 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9623689409934939
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 3093
1 0.98 1.00 0.99 120943
accuracy 0.98 124036
macro avg 0.49 0.50 0.49 124036
weighted avg 0.95 0.98 0.96 124036
Accuracy: 0.9750636911864298
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.98 99395
macro avg 0.49 0.50 0.49 99395
weighted avg 0.95 0.98 0.97 99395
Accuracy: 0.9765782987071784
Treshold: 0.8
All
precision recall f1-score support
0 0.65 0.96 0.77 26119367
1 0.89 0.36 0.52 21615229
accuracy 0.69 47734596
macro avg 0.77 0.66 0.64 47734596
weighted avg 0.76 0.69 0.66 47734596
Accuracy: 0.6910468667211512
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 0.50 0.98 0.66 13368467
1 0.82 0.08 0.15 14466820
accuracy 0.51 27835287
macro avg 0.66 0.53 0.40 27835287
weighted avg 0.66 0.51 0.39 27835287
Accuracy: 0.5135152728980305
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 503365
1 0.87 1.00 0.93 3387274
accuracy 0.87 3890639
macro avg 0.44 0.50 0.47 3890639
weighted avg 0.76 0.87 0.81 3890639
Accuracy: 0.8706215097314348
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.47 0.50 0.48 2117913
weighted avg 0.87 0.93 0.90 2117913
Accuracy: 0.9303616343069805
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.48 0.50 0.49 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9623689409934939
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 3093
1 0.98 1.00 0.99 120943
accuracy 0.98 124036
macro avg 0.49 0.50 0.49 124036
weighted avg 0.95 0.98 0.96 124036
Accuracy: 0.9750636911864298
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.98 99395
macro avg 0.49 0.50 0.49 99395
weighted avg 0.95 0.98 0.97 99395
Accuracy: 0.9765782987071784
Treshold: 0.9
All
precision recall f1-score support
0 0.62 0.98 0.76 26119367
1 0.91 0.28 0.43 21615229
accuracy 0.66 47734596
macro avg 0.77 0.63 0.60 47734596
weighted avg 0.75 0.66 0.61 47734596
Accuracy: 0.6634516609295279
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 0.16 0.19 0.17 503365
1 0.88 0.86 0.87 3387274
accuracy 0.77 3890639
macro avg 0.52 0.52 0.52 3890639
weighted avg 0.78 0.77 0.78 3890639
Accuracy: 0.7699007797947843
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.47 0.50 0.48 2117913
weighted avg 0.87 0.93 0.90 2117913
Accuracy: 0.9303616343069805
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.48 0.50 0.49 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9623689409934939
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 3093
1 0.98 1.00 0.99 120943
accuracy 0.98 124036
macro avg 0.49 0.50 0.49 124036
weighted avg 0.95 0.98 0.96 124036
Accuracy: 0.9750636911864298
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.98 99395
macro avg 0.49 0.50 0.49 99395
weighted avg 0.95 0.98 0.97 99395
Accuracy: 0.9765782987071784
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.92 0.56 0.70 24893266
1 0.64 0.94 0.76 20563095
accuracy 0.74 45456361
macro avg 0.78 0.75 0.73 45456361
weighted avg 0.79 0.74 0.73 45456361
Accuracy: 0.7350546164485098
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 0.89 0.54 0.67 16949103
1 0.47 0.85 0.60 8016772
accuracy 0.64 24965875
macro avg 0.68 0.70 0.64 24965875
weighted avg 0.75 0.64 0.65 24965875
Accuracy: 0.6407493428529943
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2057494
1 0.73 1.00 0.84 5461156
accuracy 0.73 7518650
macro avg 0.36 0.50 0.42 7518650
weighted avg 0.53 0.73 0.61 7518650
Accuracy: 0.7263479481023855
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 744974
1 0.84 1.00 0.92 4060539
accuracy 0.84 4805513
macro avg 0.42 0.50 0.46 4805513
weighted avg 0.71 0.84 0.77 4805513
Accuracy: 0.8449751358491799
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 235909
1 0.91 1.00 0.95 2483775
accuracy 0.91 2719684
macro avg 0.46 0.50 0.48 2719684
weighted avg 0.83 0.91 0.87 2719684
Accuracy: 0.91325867269874
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 18577
1 0.94 1.00 0.97 296772
accuracy 0.94 315349
macro avg 0.47 0.50 0.48 315349
weighted avg 0.89 0.94 0.91 315349
Accuracy: 0.9410906646287129
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 13620
1 0.95 1.00 0.97 240209
accuracy 0.95 253829
macro avg 0.47 0.50 0.49 253829
weighted avg 0.90 0.95 0.92 253829
Accuracy: 0.946341828553869
Treshold: 0.5
All
precision recall f1-score support
0 0.74 0.87 0.80 24893266
1 0.80 0.63 0.71 20563095
accuracy 0.76 45456361
macro avg 0.77 0.75 0.75 45456361
weighted avg 0.77 0.76 0.76 45456361
Accuracy: 0.7605667334435328
precision recall f1-score support
0 0.74 0.87 0.80 24893266
1 0.80 0.63 0.71 20563095
accuracy 0.76 45456361
macro avg 0.77 0.75 0.75 45456361
weighted avg 0.77 0.76 0.76 45456361
Accuracy: 0.7605667334435328
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 0.69 0.98 0.81 16949103
1 0.64 0.06 0.11 8016772
accuracy 0.69 24965875
macro avg 0.66 0.52 0.46 24965875
weighted avg 0.67 0.69 0.58 24965875
Accuracy: 0.68720026836632
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2057494
1 0.73 1.00 0.84 5461156
accuracy 0.73 7518650
macro avg 0.36 0.50 0.42 7518650
weighted avg 0.53 0.73 0.61 7518650
Accuracy: 0.7263479481023855
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 744974
1 0.84 1.00 0.92 4060539
accuracy 0.84 4805513
macro avg 0.42 0.50 0.46 4805513
weighted avg 0.71 0.84 0.77 4805513
Accuracy: 0.8449751358491799
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 235909
1 0.91 1.00 0.95 2483775
accuracy 0.91 2719684
macro avg 0.46 0.50 0.48 2719684
weighted avg 0.83 0.91 0.87 2719684
Accuracy: 0.91325867269874
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 18577
1 0.94 1.00 0.97 296772
accuracy 0.94 315349
macro avg 0.47 0.50 0.48 315349
weighted avg 0.89 0.94 0.91 315349
Accuracy: 0.9410906646287129
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 13620
1 0.95 1.00 0.97 240209
accuracy 0.95 253829
macro avg 0.47 0.50 0.49 253829
weighted avg 0.90 0.95 0.92 253829
Accuracy: 0.946341828553869
Treshold: 0.6
All
precision recall f1-score support
0 0.70 0.91 0.79 24893266
1 0.83 0.53 0.64 20563095
accuracy 0.74 45456361
macro avg 0.76 0.72 0.72 45456361
weighted avg 0.76 0.74 0.72 45456361
Accuracy: 0.736144276925291
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 0.32 0.40 0.36 2057494
1 0.75 0.68 0.72 5461156
accuracy 0.61 7518650
macro avg 0.54 0.54 0.54 7518650
weighted avg 0.64 0.61 0.62 7518650
Accuracy: 0.606286101893292
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 744974
1 0.84 1.00 0.92 4060539
accuracy 0.84 4805513
macro avg 0.42 0.50 0.46 4805513
weighted avg 0.71 0.84 0.77 4805513
Accuracy: 0.8449751358491799
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 235909
1 0.91 1.00 0.95 2483775
accuracy 0.91 2719684
macro avg 0.46 0.50 0.48 2719684
weighted avg 0.83 0.91 0.87 2719684
Accuracy: 0.91325867269874
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 18577
1 0.94 1.00 0.97 296772
accuracy 0.94 315349
macro avg 0.47 0.50 0.48 315349
weighted avg 0.89 0.94 0.91 315349
Accuracy: 0.9410906646287129
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 13620
1 0.95 1.00 0.97 240209
accuracy 0.95 253829
macro avg 0.47 0.50 0.49 253829
weighted avg 0.90 0.95 0.92 253829
Accuracy: 0.946341828553869
Treshold: 0.7
All
precision recall f1-score support
0 0.67 0.94 0.78 24893266
1 0.85 0.44 0.58 20563095
accuracy 0.71 45456361
macro avg 0.76 0.69 0.68 45456361
weighted avg 0.75 0.71 0.69 45456361
Accuracy: 0.7109227463236664
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 0.30 0.73 0.42 2057494
1 0.78 0.35 0.48 5461156
accuracy 0.45 7518650
macro avg 0.54 0.54 0.45 7518650
weighted avg 0.65 0.45 0.47 7518650
Accuracy: 0.4538014138176401
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 744974
1 0.84 1.00 0.92 4060539
accuracy 0.84 4805513
macro avg 0.42 0.50 0.46 4805513
weighted avg 0.71 0.84 0.77 4805513
Accuracy: 0.8449751358491799
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 235909
1 0.91 1.00 0.95 2483775
accuracy 0.91 2719684
macro avg 0.46 0.50 0.48 2719684
weighted avg 0.83 0.91 0.87 2719684
Accuracy: 0.91325867269874
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 18577
1 0.94 1.00 0.97 296772
accuracy 0.94 315349
macro avg 0.47 0.50 0.48 315349
weighted avg 0.89 0.94 0.91 315349
Accuracy: 0.9410906646287129
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 13620
1 0.95 1.00 0.97 240209
accuracy 0.95 253829
macro avg 0.47 0.50 0.49 253829
weighted avg 0.90 0.95 0.92 253829
Accuracy: 0.946341828553869
Treshold: 0.8
All
precision recall f1-score support
0 0.64 0.96 0.77 24893266
1 0.87 0.36 0.51 20563095
accuracy 0.68 45456361
macro avg 0.76 0.66 0.64 45456361
weighted avg 0.75 0.68 0.65 45456361
Accuracy: 0.6849614732688347
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 0.28 0.97 0.43 2057494
1 0.80 0.04 0.08 5461156
accuracy 0.30 7518650
macro avg 0.54 0.51 0.26 7518650
weighted avg 0.65 0.30 0.18 7518650
Accuracy: 0.296844380307635
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 744974
1 0.84 1.00 0.92 4060539
accuracy 0.84 4805513
macro avg 0.42 0.50 0.46 4805513
weighted avg 0.71 0.84 0.77 4805513
Accuracy: 0.8449751358491799
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 235909
1 0.91 1.00 0.95 2483775
accuracy 0.91 2719684
macro avg 0.46 0.50 0.48 2719684
weighted avg 0.83 0.91 0.87 2719684
Accuracy: 0.91325867269874
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 18577
1 0.94 1.00 0.97 296772
accuracy 0.94 315349
macro avg 0.47 0.50 0.48 315349
weighted avg 0.89 0.94 0.91 315349
Accuracy: 0.9410906646287129
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 13620
1 0.95 1.00 0.97 240209
accuracy 0.95 253829
macro avg 0.47 0.50 0.49 253829
weighted avg 0.90 0.95 0.92 253829
Accuracy: 0.946341828553869
Treshold: 0.9
All
precision recall f1-score support
0 0.62 0.97 0.76 24893266
1 0.89 0.27 0.41 20563095
accuracy 0.65 45456361
macro avg 0.75 0.62 0.58 45456361
weighted avg 0.74 0.65 0.60 45456361
Accuracy: 0.6549297467960534
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 0.18 0.46 0.26 744974
1 0.86 0.62 0.72 4060539
accuracy 0.60 4805513
macro avg 0.52 0.54 0.49 4805513
weighted avg 0.76 0.60 0.65 4805513
Accuracy: 0.597185149639591
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 235909
1 0.91 1.00 0.95 2483775
accuracy 0.91 2719684
macro avg 0.46 0.50 0.48 2719684
weighted avg 0.83 0.91 0.87 2719684
Accuracy: 0.91325867269874
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 18577
1 0.94 1.00 0.97 296772
accuracy 0.94 315349
macro avg 0.47 0.50 0.48 315349
weighted avg 0.89 0.94 0.91 315349
Accuracy: 0.9410906646287129
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 13620
1 0.95 1.00 0.97 240209
accuracy 0.95 253829
macro avg 0.47 0.50 0.49 253829
weighted avg 0.90 0.95 0.92 253829
Accuracy: 0.946341828553869
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.92 0.56 0.70 22531902
1 0.62 0.93 0.74 16938696
accuracy 0.72 39470598
macro avg 0.77 0.75 0.72 39470598
weighted avg 0.79 0.72 0.72 39470598
Accuracy: 0.7219948631130443
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 0.98 0.94 11439888
1 0.28 0.08 0.13 1271288
accuracy 0.89 12711176
macro avg 0.59 0.53 0.53 12711176
weighted avg 0.84 0.89 0.86 12711176
Accuracy: 0.8874208019777242
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 5044441
1 0.43 1.00 0.60 3812372
accuracy 0.43 8856813
macro avg 0.22 0.50 0.30 8856813
weighted avg 0.19 0.43 0.26 8856813
Accuracy: 0.43044512738385693
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 2995598
1 0.65 1.00 0.79 5583215
accuracy 0.65 8578813
macro avg 0.33 0.50 0.39 8578813
weighted avg 0.42 0.65 0.51 8578813
Accuracy: 0.6508143958843724
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 1295061
1 0.79 1.00 0.89 5001564
accuracy 0.79 6296625
macro avg 0.40 0.50 0.44 6296625
weighted avg 0.63 0.79 0.70 6296625
Accuracy: 0.7943245786433208
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 117971
1 0.85 1.00 0.92 692761
accuracy 0.85 810732
macro avg 0.43 0.50 0.46 810732
weighted avg 0.73 0.85 0.79 810732
Accuracy: 0.8544882895950819
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 88944
1 0.87 1.00 0.93 577496
accuracy 0.87 666440
macro avg 0.43 0.50 0.46 666440
weighted avg 0.75 0.87 0.80 666440
Accuracy: 0.8665386231318648
Treshold: 0.5
All
precision recall f1-score support
0 0.76 0.83 0.79 22531902
1 0.74 0.65 0.69 16938696
accuracy 0.75 39470598
macro avg 0.75 0.74 0.74 39470598
weighted avg 0.75 0.75 0.75 39470598
Accuracy: 0.7523183459242244
precision recall f1-score support
0 0.76 0.83 0.79 22531902
1 0.74 0.65 0.69 16938696
accuracy 0.75 39470598
macro avg 0.75 0.74 0.74 39470598
weighted avg 0.75 0.75 0.75 39470598
Accuracy: 0.7523183459242244
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 0.43 0.20 0.27 2995598
1 0.67 0.86 0.75 5583215
accuracy 0.63 8578813
macro avg 0.55 0.53 0.51 8578813
weighted avg 0.58 0.63 0.58 8578813
Accuracy: 0.6280945860458784
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 1295061
1 0.79 1.00 0.89 5001564
accuracy 0.79 6296625
macro avg 0.40 0.50 0.44 6296625
weighted avg 0.63 0.79 0.70 6296625
Accuracy: 0.7943245786433208
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 117971
1 0.85 1.00 0.92 692761
accuracy 0.85 810732
macro avg 0.43 0.50 0.46 810732
weighted avg 0.73 0.85 0.79 810732
Accuracy: 0.8544882895950819
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 88944
1 0.87 1.00 0.93 577496
accuracy 0.87 666440
macro avg 0.43 0.50 0.46 666440
weighted avg 0.75 0.87 0.80 666440
Accuracy: 0.8665386231318648
Treshold: 0.6
All
precision recall f1-score support
0 0.72 0.88 0.79 22531902
1 0.77 0.54 0.63 16938696
accuracy 0.73 39470598
macro avg 0.74 0.71 0.71 39470598
weighted avg 0.74 0.73 0.72 39470598
Accuracy: 0.7331811136988601
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 0.39 0.58 0.47 2995598
1 0.70 0.52 0.59 5583215
accuracy 0.54 8578813
macro avg 0.55 0.55 0.53 8578813
weighted avg 0.59 0.54 0.55 8578813
Accuracy: 0.5400453419371655
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 1295061
1 0.79 1.00 0.89 5001564
accuracy 0.79 6296625
macro avg 0.40 0.50 0.44 6296625
weighted avg 0.63 0.79 0.70 6296625
Accuracy: 0.7943245786433208
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 117971
1 0.85 1.00 0.92 692761
accuracy 0.85 810732
macro avg 0.43 0.50 0.46 810732
weighted avg 0.73 0.85 0.79 810732
Accuracy: 0.8544882895950819
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 88944
1 0.87 1.00 0.93 577496
accuracy 0.87 666440
macro avg 0.43 0.50 0.46 666440
weighted avg 0.75 0.87 0.80 666440
Accuracy: 0.8665386231318648
Treshold: 0.7
All
precision recall f1-score support
0 0.68 0.91 0.78 22531902
1 0.79 0.44 0.56 16938696
accuracy 0.71 39470598
macro avg 0.74 0.68 0.67 39470598
weighted avg 0.73 0.71 0.69 39470598
Accuracy: 0.709834165674409
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 0.37 0.85 0.51 2995598
1 0.72 0.21 0.32 5583215
accuracy 0.43 8578813
macro avg 0.54 0.53 0.42 8578813
weighted avg 0.60 0.43 0.39 8578813
Accuracy: 0.4326274509072526
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 1295061
1 0.79 1.00 0.89 5001564
accuracy 0.79 6296625
macro avg 0.40 0.50 0.44 6296625
weighted avg 0.63 0.79 0.70 6296625
Accuracy: 0.7943245786433208
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 117971
1 0.85 1.00 0.92 692761
accuracy 0.85 810732
macro avg 0.43 0.50 0.46 810732
weighted avg 0.73 0.85 0.79 810732
Accuracy: 0.8544882895950819
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 88944
1 0.87 1.00 0.93 577496
accuracy 0.87 666440
macro avg 0.43 0.50 0.46 666440
weighted avg 0.75 0.87 0.80 666440
Accuracy: 0.8665386231318648
Treshold: 0.8
All
precision recall f1-score support
0 0.65 0.94 0.77 22531902
1 0.81 0.34 0.48 16938696
accuracy 0.68 39470598
macro avg 0.73 0.64 0.63 39470598
weighted avg 0.72 0.68 0.65 39470598
Accuracy: 0.6829961887073512
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 0.25 0.14 0.18 1295061
1 0.80 0.90 0.85 5001564
accuracy 0.74 6296625
macro avg 0.53 0.52 0.51 6296625
weighted avg 0.69 0.74 0.71 6296625
Accuracy: 0.7397748793996785
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 117971
1 0.85 1.00 0.92 692761
accuracy 0.85 810732
macro avg 0.43 0.50 0.46 810732
weighted avg 0.73 0.85 0.79 810732
Accuracy: 0.8544882895950819
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 88944
1 0.87 1.00 0.93 577496
accuracy 0.87 666440
macro avg 0.43 0.50 0.46 666440
weighted avg 0.75 0.87 0.80 666440
Accuracy: 0.8665386231318648
Treshold: 0.9
All
precision recall f1-score support
0 0.62 0.97 0.76 22531902
1 0.83 0.23 0.36 16938696
accuracy 0.65 39470598
macro avg 0.73 0.60 0.56 39470598
weighted avg 0.71 0.65 0.59 39470598
Accuracy: 0.6488187739136864
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 0.23 0.57 0.33 1295061
1 0.82 0.51 0.63 5001564
accuracy 0.53 6296625
macro avg 0.53 0.54 0.48 6296625
weighted avg 0.70 0.53 0.57 6296625
Accuracy: 0.5255326464574276
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 117971
1 0.85 1.00 0.92 692761
accuracy 0.85 810732
macro avg 0.43 0.50 0.46 810732
weighted avg 0.73 0.85 0.79 810732
Accuracy: 0.8544882895950819
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 88944
1 0.87 1.00 0.93 577496
accuracy 0.87 666440
macro avg 0.43 0.50 0.46 666440
weighted avg 0.75 0.87 0.80 666440
Accuracy: 0.8665386231318648
Individual Workload Result
zipf_1_15
Ignore Obj Size
0.01
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 6046758 | 0.403719 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| Zipf Optimal Distribution | 9519768 | 0.404397 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_id[cache_size=0.01,treshold=0.9] | 9412294 | 0.404407 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_id[cache_size=0.01,treshold=0.9] | 9413482 | 0.404407 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_id[cache_size=0.01,treshold=0.9] | 9413823 | 0.404408 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_id[cache_size=0.01,treshold=0.9] | 9121234 | 0.404414 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_id[cache_size=0.01,treshold=0.8] | 8857057 | 0.404623 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_id[cache_size=0.01,treshold=0.8] | 8855216 | 0.404628 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_id[cache_size=0.01,treshold=0.8] | 8853701 | 0.404632 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_id[cache_size=0.01,treshold=0.8] | 8730228 | 0.404643 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_id[cache_size=0.01,treshold=0.7] | 8319018 | 0.40508 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| Offline Clock 1st iteration | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_id[cache_size=0.01,treshold=0.7] | 8064502 | 0.405647 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_id[cache_size=0.01,treshold=0.7] | 8053538 | 0.405681 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_id[cache_size=0.01,treshold=0.7] | 8046727 | 0.4057 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_id[cache_size=0.01,treshold=0.6] | 7804490 | 0.405898 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_id[cache_size=0.01,treshold=0.5] | 7071443 | 0.407551 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_id[cache_size=0.01,treshold=0.6] | 6818754 | 0.408866 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_id[cache_size=0.01,treshold=0.6] | 6798818 | 0.40897 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_id[cache_size=0.01,treshold=0.6] | 6788341 | 0.409028 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_id[cache_size=0.01,treshold=0.5] | 5352939 | 0.414505 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_id[cache_size=0.01,treshold=0.5] | 5350429 | 0.414545 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_id[cache_size=0.01,treshold=0.5] | 5352334 | 0.414548 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_id[cache_size=0.01,treshold=0.3] | 3385805 | 0.423491 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_id[cache_size=0.01,treshold=0.3] | 3082530 | 0.426154 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_id[cache_size=0.01,treshold=0.3] | 3078793 | 0.426187 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_id[cache_size=0.01,treshold=0.3] | 3071023 | 0.426243 | ../../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 |
| LR_id[cache_size=0.1,treshold=0.8] | 8631677 | 0.211795 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_id[cache_size=0.1,treshold=0.7] | 8195625 | 0.211858 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| Zipf Optimal Distribution | 8927244 | 0.211885 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_id[cache_size=0.1,treshold=0.8] | 8757490 | 0.211933 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_id[cache_size=0.1,treshold=0.8] | 8757245 | 0.211933 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_id[cache_size=0.1,treshold=0.8] | 8757171 | 0.211934 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_id[cache_size=0.1,treshold=0.9] | 9042298 | 0.211945 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_id[cache_size=0.1,treshold=0.9] | 9345148 | 0.21223 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_id[cache_size=0.1,treshold=0.9] | 9345530 | 0.21223 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_id[cache_size=0.1,treshold=0.9] | 9345525 | 0.212231 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_id[cache_size=0.1,treshold=0.6] | 7653269 | 0.212255 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_id[cache_size=0.1,treshold=0.7] | 7859197 | 0.212455 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_id[cache_size=0.1,treshold=0.7] | 7856735 | 0.212458 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_id[cache_size=0.1,treshold=0.7] | 7856324 | 0.212461 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_id[cache_size=0.1,treshold=0.5] | 6880980 | 0.213394 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| Offline Clock 1st iteration | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_id[cache_size=0.1,treshold=0.6] | 6487361 | 0.215298 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_id[cache_size=0.1,treshold=0.6] | 6483608 | 0.215311 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_id[cache_size=0.1,treshold=0.6] | 6483441 | 0.215316 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_id[cache_size=0.1,treshold=0.5] | 5075678 | 0.219898 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_id[cache_size=0.1,treshold=0.5] | 5075023 | 0.219908 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_id[cache_size=0.1,treshold=0.5] | 5073914 | 0.219909 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_id[cache_size=0.1,treshold=0.3] | 3209660 | 0.227098 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_id[cache_size=0.1,treshold=0.3] | 2975833 | 0.229428 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_id[cache_size=0.1,treshold=0.3] | 2973993 | 0.229438 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_id[cache_size=0.1,treshold=0.3] | 2973256 | 0.22944 | ../../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 |
| LR_id[cache_size=0.2,treshold=0.7] | 7967188 | 0.150007 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_id[cache_size=0.2,treshold=0.6] | 7395772 | 0.150162 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_id[cache_size=0.2,treshold=0.8] | 8437023 | 0.150164 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| Zipf Optimal Distribution | 8496578 | 0.150203 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_id[cache_size=0.2,treshold=0.8] | 8534848 | 0.150397 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_id[cache_size=0.2,treshold=0.8] | 8536039 | 0.150397 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_id[cache_size=0.2,treshold=0.8] | 8536152 | 0.150397 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_id[cache_size=0.2,treshold=0.9] | 8875208 | 0.150561 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_id[cache_size=0.2,treshold=0.7] | 7572079 | 0.150633 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_id[cache_size=0.2,treshold=0.7] | 7570669 | 0.150635 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_id[cache_size=0.2,treshold=0.7] | 7570793 | 0.150636 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_id[cache_size=0.2,treshold=0.5] | 6596321 | 0.150995 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_id[cache_size=0.2,treshold=0.9] | 9175377 | 0.151004 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_id[cache_size=0.2,treshold=0.9] | 9176559 | 0.151006 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_id[cache_size=0.2,treshold=0.9] | 9176347 | 0.151006 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| Offline Clock 1st iteration | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_id[cache_size=0.2,treshold=0.6] | 6184642 | 0.153042 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_id[cache_size=0.2,treshold=0.6] | 6184328 | 0.153043 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_id[cache_size=0.2,treshold=0.6] | 6183487 | 0.153048 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_id[cache_size=0.2,treshold=0.5] | 4850405 | 0.156813 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_id[cache_size=0.2,treshold=0.5] | 4849655 | 0.156814 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_id[cache_size=0.2,treshold=0.5] | 4849342 | 0.156818 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_id[cache_size=0.2,treshold=0.3] | 3104295 | 0.162513 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_id[cache_size=0.2,treshold=0.3] | 2892676 | 0.16477 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_id[cache_size=0.2,treshold=0.3] | 2892085 | 0.164774 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_id[cache_size=0.2,treshold=0.3] | 2891059 | 0.164779 | ../../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 |
| LR_id[cache_size=0.4,treshold=0.6] | 6619786 | 0.0862818 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_id[cache_size=0.4,treshold=0.7] | 7272084 | 0.0864272 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| Zipf Optimal Distribution | 7658498 | 0.0867334 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_id[cache_size=0.4,treshold=0.5] | 5756268 | 0.0867684 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_id[cache_size=0.4,treshold=0.8] | 7835026 | 0.086914 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_id[cache_size=0.4,treshold=0.7] | 6773404 | 0.0871505 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_id[cache_size=0.4,treshold=0.7] | 6772952 | 0.0871524 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_id[cache_size=0.4,treshold=0.7] | 6771216 | 0.0871543 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_id[cache_size=0.4,treshold=0.8] | 7905138 | 0.0872892 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_id[cache_size=0.4,treshold=0.8] | 7904387 | 0.0872892 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_id[cache_size=0.4,treshold=0.8] | 7905007 | 0.0872894 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_id[cache_size=0.4,treshold=0.9] | 8357346 | 0.0877119 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_id[cache_size=0.4,treshold=0.9] | 8679981 | 0.0884217 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_id[cache_size=0.4,treshold=0.9] | 8680009 | 0.0884217 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_id[cache_size=0.4,treshold=0.9] | 8680063 | 0.0884221 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_id[cache_size=0.4,treshold=0.6] | 5412543 | 0.0888289 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_id[cache_size=0.4,treshold=0.6] | 5412170 | 0.0888312 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_id[cache_size=0.4,treshold=0.6] | 5410034 | 0.0888382 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| Offline Clock 1st iteration | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_id[cache_size=0.4,treshold=0.5] | 4271740 | 0.0913211 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_id[cache_size=0.4,treshold=0.5] | 4271790 | 0.0913224 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_id[cache_size=0.4,treshold=0.5] | 4270146 | 0.0913289 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_id[cache_size=0.4,treshold=0.3] | 2797066 | 0.0945796 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_id[cache_size=0.4,treshold=0.3] | 2650601 | 0.0965522 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_id[cache_size=0.4,treshold=0.3] | 2650130 | 0.0965533 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_id[cache_size=0.4,treshold=0.3] | 2650026 | 0.0965552 | ../../result/log/zipf_1_15 | 0.4 | 1 |
zipf_1_16
Ignore Obj Size
0.01
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 6044928 | 0.403882 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| Zipf Optimal Distribution | 9516893 | 0.40457 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_id[cache_size=0.01,treshold=0.9] | 9408493 | 0.404585 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_id[cache_size=0.01,treshold=0.9] | 9410001 | 0.404586 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_id[cache_size=0.01,treshold=0.9] | 9409444 | 0.404586 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_id[cache_size=0.01,treshold=0.9] | 9117214 | 0.404606 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_id[cache_size=0.01,treshold=0.8] | 8854730 | 0.404814 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_id[cache_size=0.01,treshold=0.8] | 8852496 | 0.404817 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_id[cache_size=0.01,treshold=0.8] | 8850819 | 0.40482 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_id[cache_size=0.01,treshold=0.8] | 8727353 | 0.404837 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_id[cache_size=0.01,treshold=0.7] | 8315053 | 0.405268 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| Offline Clock 1st iteration | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_id[cache_size=0.01,treshold=0.7] | 8059906 | 0.405838 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_id[cache_size=0.01,treshold=0.7] | 8049488 | 0.40587 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_id[cache_size=0.01,treshold=0.7] | 8042351 | 0.405892 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_id[cache_size=0.01,treshold=0.6] | 7800758 | 0.40608 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_id[cache_size=0.01,treshold=0.5] | 7070078 | 0.407716 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_id[cache_size=0.01,treshold=0.6] | 6819251 | 0.409021 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_id[cache_size=0.01,treshold=0.6] | 6799142 | 0.409126 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_id[cache_size=0.01,treshold=0.6] | 6788583 | 0.409184 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_id[cache_size=0.01,treshold=0.5] | 5351095 | 0.414665 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_id[cache_size=0.01,treshold=0.5] | 5348562 | 0.414701 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_id[cache_size=0.01,treshold=0.5] | 5350660 | 0.414704 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_id[cache_size=0.01,treshold=0.3] | 3386583 | 0.423614 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_id[cache_size=0.01,treshold=0.3] | 3081734 | 0.42629 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_id[cache_size=0.01,treshold=0.3] | 3078473 | 0.42632 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_id[cache_size=0.01,treshold=0.3] | 3070892 | 0.426375 | ../../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 |
| LR_id[cache_size=0.1,treshold=0.8] | 8629815 | 0.21197 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_id[cache_size=0.1,treshold=0.7] | 8191921 | 0.212033 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| Zipf Optimal Distribution | 8926367 | 0.212052 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_id[cache_size=0.1,treshold=0.9] | 9041580 | 0.212116 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_id[cache_size=0.1,treshold=0.8] | 8754495 | 0.212118 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_id[cache_size=0.1,treshold=0.8] | 8754626 | 0.212118 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_id[cache_size=0.1,treshold=0.8] | 8754340 | 0.212119 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_id[cache_size=0.1,treshold=0.9] | 9344871 | 0.212405 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_id[cache_size=0.1,treshold=0.9] | 9344971 | 0.212405 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_id[cache_size=0.1,treshold=0.9] | 9344476 | 0.212405 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_id[cache_size=0.1,treshold=0.6] | 7649035 | 0.212432 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_id[cache_size=0.1,treshold=0.7] | 7856136 | 0.21264 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_id[cache_size=0.1,treshold=0.7] | 7853970 | 0.212644 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_id[cache_size=0.1,treshold=0.7] | 7853637 | 0.212647 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_id[cache_size=0.1,treshold=0.5] | 6878413 | 0.213578 | ../../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_id[cache_size=0.1,treshold=0.6] | 6486799 | 0.215473 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_id[cache_size=0.1,treshold=0.6] | 6483208 | 0.215486 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_id[cache_size=0.1,treshold=0.6] | 6483207 | 0.21549 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_id[cache_size=0.1,treshold=0.5] | 5075649 | 0.220048 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_id[cache_size=0.1,treshold=0.5] | 5074937 | 0.220058 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_id[cache_size=0.1,treshold=0.5] | 5073821 | 0.22006 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_id[cache_size=0.1,treshold=0.3] | 3210918 | 0.227239 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_id[cache_size=0.1,treshold=0.3] | 2975934 | 0.229573 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_id[cache_size=0.1,treshold=0.3] | 2974284 | 0.229583 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_id[cache_size=0.1,treshold=0.3] | 2973629 | 0.229584 | ../../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 |
| LR_id[cache_size=0.2,treshold=0.7] | 7975311 | 0.150091 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_id[cache_size=0.2,treshold=0.6] | 7404470 | 0.150234 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_id[cache_size=0.2,treshold=0.8] | 8446568 | 0.150249 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| Zipf Optimal Distribution | 8505430 | 0.150288 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_id[cache_size=0.2,treshold=0.8] | 8543742 | 0.150477 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_id[cache_size=0.2,treshold=0.8] | 8544723 | 0.150479 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_id[cache_size=0.2,treshold=0.8] | 8544889 | 0.150479 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_id[cache_size=0.2,treshold=0.9] | 8886092 | 0.150641 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_id[cache_size=0.2,treshold=0.7] | 7578691 | 0.150728 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_id[cache_size=0.2,treshold=0.7] | 7577335 | 0.150729 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_id[cache_size=0.2,treshold=0.7] | 7577433 | 0.15073 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_id[cache_size=0.2,treshold=0.5] | 6601552 | 0.151068 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_id[cache_size=0.2,treshold=0.9] | 9187006 | 0.151088 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_id[cache_size=0.2,treshold=0.9] | 9187976 | 0.151089 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_id[cache_size=0.2,treshold=0.9] | 9188186 | 0.15109 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| Offline Clock 1st iteration | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_id[cache_size=0.2,treshold=0.6] | 6191270 | 0.153115 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_id[cache_size=0.2,treshold=0.6] | 6190905 | 0.153117 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_id[cache_size=0.2,treshold=0.6] | 6189772 | 0.153122 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_id[cache_size=0.2,treshold=0.5] | 4853092 | 0.156901 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_id[cache_size=0.2,treshold=0.5] | 4852161 | 0.156903 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_id[cache_size=0.2,treshold=0.5] | 4852076 | 0.156907 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_id[cache_size=0.2,treshold=0.3] | 3104967 | 0.162593 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_id[cache_size=0.2,treshold=0.3] | 2891885 | 0.164875 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_id[cache_size=0.2,treshold=0.3] | 2891439 | 0.164879 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_id[cache_size=0.2,treshold=0.3] | 2890314 | 0.164883 | ../../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 |
| LR_id[cache_size=0.4,treshold=0.6] | 6629114 | 0.0862959 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_id[cache_size=0.4,treshold=0.7] | 7277991 | 0.0864473 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| Zipf Optimal Distribution | 7664562 | 0.0867505 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_id[cache_size=0.4,treshold=0.5] | 5760718 | 0.0868007 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_id[cache_size=0.4,treshold=0.8] | 7841531 | 0.0869332 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_id[cache_size=0.4,treshold=0.7] | 6777783 | 0.0871755 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_id[cache_size=0.4,treshold=0.7] | 6777362 | 0.0871762 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_id[cache_size=0.4,treshold=0.7] | 6775667 | 0.0871789 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_id[cache_size=0.4,treshold=0.8] | 7913662 | 0.0872975 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_id[cache_size=0.4,treshold=0.8] | 7913542 | 0.0872976 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_id[cache_size=0.4,treshold=0.8] | 7912982 | 0.0872978 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_id[cache_size=0.4,treshold=0.9] | 8364685 | 0.0877362 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_id[cache_size=0.4,treshold=0.9] | 8688282 | 0.0884407 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_id[cache_size=0.4,treshold=0.9] | 8688397 | 0.0884411 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_id[cache_size=0.4,treshold=0.9] | 8688428 | 0.0884412 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_id[cache_size=0.4,treshold=0.6] | 5419937 | 0.0888532 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_id[cache_size=0.4,treshold=0.6] | 5419512 | 0.0888559 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_id[cache_size=0.4,treshold=0.6] | 5417363 | 0.0888631 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| Offline Clock 1st iteration | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_id[cache_size=0.4,treshold=0.5] | 4276168 | 0.0913508 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_id[cache_size=0.4,treshold=0.5] | 4276297 | 0.091352 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_id[cache_size=0.4,treshold=0.5] | 4274742 | 0.0913576 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_id[cache_size=0.4,treshold=0.3] | 2797828 | 0.0945991 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_id[cache_size=0.4,treshold=0.3] | 2653546 | 0.0965643 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_id[cache_size=0.4,treshold=0.3] | 2653067 | 0.0965656 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_id[cache_size=0.4,treshold=0.3] | 2652954 | 0.0965672 | ../../result/log/zipf_1_16 | 0.4 | 1 |
zipf_1_17
Ignore Obj Size
0.01
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 6046350 | 0.403777 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| Zipf Optimal Distribution | 9518366 | 0.404457 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_id[cache_size=0.01,treshold=0.9] | 9409835 | 0.404472 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_id[cache_size=0.01,treshold=0.9] | 9411556 | 0.404472 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_id[cache_size=0.01,treshold=0.9] | 9411013 | 0.404473 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_id[cache_size=0.01,treshold=0.9] | 9117446 | 0.404493 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_id[cache_size=0.01,treshold=0.8] | 8854178 | 0.404704 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_id[cache_size=0.01,treshold=0.8] | 8852285 | 0.404707 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_id[cache_size=0.01,treshold=0.8] | 8850674 | 0.40471 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_id[cache_size=0.01,treshold=0.8] | 8727558 | 0.404722 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_id[cache_size=0.01,treshold=0.7] | 8316193 | 0.405153 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| Offline Clock 1st iteration | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_id[cache_size=0.01,treshold=0.7] | 8063526 | 0.405719 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_id[cache_size=0.01,treshold=0.7] | 8052649 | 0.405752 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_id[cache_size=0.01,treshold=0.7] | 8045911 | 0.405773 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_id[cache_size=0.01,treshold=0.6] | 7803616 | 0.405958 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_id[cache_size=0.01,treshold=0.5] | 7070223 | 0.407614 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_id[cache_size=0.01,treshold=0.6] | 6818847 | 0.408915 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_id[cache_size=0.01,treshold=0.6] | 6799669 | 0.409016 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_id[cache_size=0.01,treshold=0.6] | 6789536 | 0.409071 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_id[cache_size=0.01,treshold=0.5] | 5354514 | 0.414549 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_id[cache_size=0.01,treshold=0.5] | 5351788 | 0.414586 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_id[cache_size=0.01,treshold=0.5] | 5354237 | 0.41459 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_id[cache_size=0.01,treshold=0.3] | 3386391 | 0.423517 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_id[cache_size=0.01,treshold=0.3] | 3084386 | 0.426169 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_id[cache_size=0.01,treshold=0.3] | 3081304 | 0.426201 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_id[cache_size=0.01,treshold=0.3] | 3073214 | 0.426258 | ../../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 |
| LR_id[cache_size=0.1,treshold=0.8] | 8626850 | 0.211846 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_id[cache_size=0.1,treshold=0.7] | 8189023 | 0.211912 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| Zipf Optimal Distribution | 8925674 | 0.211925 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_id[cache_size=0.1,treshold=0.8] | 8753423 | 0.211984 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_id[cache_size=0.1,treshold=0.8] | 8753255 | 0.211984 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_id[cache_size=0.1,treshold=0.8] | 8753120 | 0.211985 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_id[cache_size=0.1,treshold=0.9] | 9039501 | 0.211992 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_id[cache_size=0.1,treshold=0.9] | 9341883 | 0.212283 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_id[cache_size=0.1,treshold=0.9] | 9342359 | 0.212283 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_id[cache_size=0.1,treshold=0.9] | 9342350 | 0.212284 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_id[cache_size=0.1,treshold=0.6] | 7644904 | 0.212323 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_id[cache_size=0.1,treshold=0.7] | 7851266 | 0.212524 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_id[cache_size=0.1,treshold=0.7] | 7848772 | 0.212528 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_id[cache_size=0.1,treshold=0.7] | 7848286 | 0.212531 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_id[cache_size=0.1,treshold=0.5] | 6875916 | 0.213459 | ../../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_id[cache_size=0.1,treshold=0.6] | 6482661 | 0.215349 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_id[cache_size=0.1,treshold=0.6] | 6478734 | 0.215363 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_id[cache_size=0.1,treshold=0.6] | 6478778 | 0.215368 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_id[cache_size=0.1,treshold=0.5] | 5073120 | 0.219926 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_id[cache_size=0.1,treshold=0.5] | 5072122 | 0.219937 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_id[cache_size=0.1,treshold=0.5] | 5071193 | 0.219938 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_id[cache_size=0.1,treshold=0.3] | 3210221 | 0.227093 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_id[cache_size=0.1,treshold=0.3] | 2977768 | 0.229425 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_id[cache_size=0.1,treshold=0.3] | 2976074 | 0.229435 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_id[cache_size=0.1,treshold=0.3] | 2975388 | 0.229436 | ../../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 |
| LR_id[cache_size=0.2,treshold=0.7] | 7968953 | 0.150028 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_id[cache_size=0.2,treshold=0.6] | 7397304 | 0.150184 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_id[cache_size=0.2,treshold=0.8] | 8438978 | 0.150191 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| Zipf Optimal Distribution | 8498188 | 0.150231 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_id[cache_size=0.2,treshold=0.8] | 8537084 | 0.15042 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_id[cache_size=0.2,treshold=0.8] | 8538047 | 0.150421 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_id[cache_size=0.2,treshold=0.8] | 8538269 | 0.150421 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_id[cache_size=0.2,treshold=0.9] | 8878487 | 0.150578 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_id[cache_size=0.2,treshold=0.7] | 7572543 | 0.150663 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_id[cache_size=0.2,treshold=0.7] | 7571079 | 0.150665 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_id[cache_size=0.2,treshold=0.7] | 7571275 | 0.150666 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_id[cache_size=0.2,treshold=0.5] | 6597787 | 0.151025 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_id[cache_size=0.2,treshold=0.9] | 9179437 | 0.151028 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_id[cache_size=0.2,treshold=0.9] | 9180583 | 0.151029 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_id[cache_size=0.2,treshold=0.9] | 9180308 | 0.151029 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| Offline Clock 1st iteration | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_id[cache_size=0.2,treshold=0.6] | 6184831 | 0.153077 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_id[cache_size=0.2,treshold=0.6] | 6184526 | 0.153079 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_id[cache_size=0.2,treshold=0.6] | 6183377 | 0.153084 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_id[cache_size=0.2,treshold=0.5] | 4850036 | 0.156839 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_id[cache_size=0.2,treshold=0.5] | 4849328 | 0.15684 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_id[cache_size=0.2,treshold=0.5] | 4849177 | 0.156844 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_id[cache_size=0.2,treshold=0.3] | 3103600 | 0.162549 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_id[cache_size=0.2,treshold=0.3] | 2890855 | 0.164812 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_id[cache_size=0.2,treshold=0.3] | 2890304 | 0.164816 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_id[cache_size=0.2,treshold=0.3] | 2889221 | 0.16482 | ../../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 |
| LR_id[cache_size=0.4,treshold=0.6] | 6621359 | 0.0862665 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_id[cache_size=0.4,treshold=0.7] | 7272915 | 0.0864219 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| Zipf Optimal Distribution | 7661751 | 0.0867151 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_id[cache_size=0.4,treshold=0.5] | 5756290 | 0.0867603 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_id[cache_size=0.4,treshold=0.8] | 7837727 | 0.0868976 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_id[cache_size=0.4,treshold=0.7] | 6772537 | 0.0871332 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_id[cache_size=0.4,treshold=0.7] | 6772129 | 0.0871346 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_id[cache_size=0.4,treshold=0.7] | 6770425 | 0.0871383 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_id[cache_size=0.4,treshold=0.8] | 7909996 | 0.087271 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_id[cache_size=0.4,treshold=0.8] | 7909934 | 0.087271 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_id[cache_size=0.4,treshold=0.8] | 7909378 | 0.087271 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_id[cache_size=0.4,treshold=0.9] | 8363667 | 0.0876955 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_id[cache_size=0.4,treshold=0.9] | 8687852 | 0.0883894 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_id[cache_size=0.4,treshold=0.9] | 8687678 | 0.0883894 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_id[cache_size=0.4,treshold=0.9] | 8687772 | 0.0883895 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_id[cache_size=0.4,treshold=0.6] | 5413759 | 0.0888245 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_id[cache_size=0.4,treshold=0.6] | 5413358 | 0.0888265 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_id[cache_size=0.4,treshold=0.6] | 5411665 | 0.0888322 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| Offline Clock 1st iteration | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_id[cache_size=0.4,treshold=0.5] | 4272222 | 0.0913094 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_id[cache_size=0.4,treshold=0.5] | 4272323 | 0.0913111 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_id[cache_size=0.4,treshold=0.5] | 4270775 | 0.0913166 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_id[cache_size=0.4,treshold=0.3] | 2797609 | 0.0945734 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_id[cache_size=0.4,treshold=0.3] | 2652817 | 0.0965331 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_id[cache_size=0.4,treshold=0.3] | 2652252 | 0.0965343 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_id[cache_size=0.4,treshold=0.3] | 2652199 | 0.0965359 | ../../result/log/zipf_1_17 | 0.4 | 1 |
zipf_1_18
Ignore Obj Size
0.01
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 6046061 | 0.40372 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| Zipf Optimal Distribution | 9518058 | 0.404413 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_id[cache_size=0.01,treshold=0.9] | 9408961 | 0.40443 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_id[cache_size=0.01,treshold=0.9] | 9410041 | 0.40443 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_id[cache_size=0.01,treshold=0.9] | 9410403 | 0.404431 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_id[cache_size=0.01,treshold=0.9] | 9118240 | 0.404441 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_id[cache_size=0.01,treshold=0.8] | 8857223 | 0.404643 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_id[cache_size=0.01,treshold=0.8] | 8855265 | 0.404646 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_id[cache_size=0.01,treshold=0.8] | 8853792 | 0.40465 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_id[cache_size=0.01,treshold=0.8] | 8730285 | 0.404661 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_id[cache_size=0.01,treshold=0.7] | 8317476 | 0.405092 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| Offline Clock 1st iteration | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_id[cache_size=0.01,treshold=0.7] | 8063454 | 0.405668 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_id[cache_size=0.01,treshold=0.7] | 8052709 | 0.4057 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_id[cache_size=0.01,treshold=0.7] | 8045554 | 0.405722 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_id[cache_size=0.01,treshold=0.6] | 7803335 | 0.405906 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_id[cache_size=0.01,treshold=0.5] | 7072489 | 0.407542 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_id[cache_size=0.01,treshold=0.6] | 6820596 | 0.408856 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_id[cache_size=0.01,treshold=0.6] | 6800970 | 0.408957 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_id[cache_size=0.01,treshold=0.6] | 6790453 | 0.409016 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_id[cache_size=0.01,treshold=0.5] | 5352735 | 0.414494 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_id[cache_size=0.01,treshold=0.5] | 5350047 | 0.414532 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_id[cache_size=0.01,treshold=0.5] | 5352543 | 0.414534 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_id[cache_size=0.01,treshold=0.3] | 3385753 | 0.423476 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_id[cache_size=0.01,treshold=0.3] | 3083074 | 0.426134 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_id[cache_size=0.01,treshold=0.3] | 3080175 | 0.426163 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_id[cache_size=0.01,treshold=0.3] | 3072012 | 0.42622 | ../../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 |
| LR_id[cache_size=0.1,treshold=0.8] | 8628039 | 0.211799 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_id[cache_size=0.1,treshold=0.7] | 8189270 | 0.211882 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| Zipf Optimal Distribution | 8924501 | 0.211883 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_id[cache_size=0.1,treshold=0.8] | 8754227 | 0.211942 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_id[cache_size=0.1,treshold=0.8] | 8754145 | 0.211942 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_id[cache_size=0.1,treshold=0.8] | 8754038 | 0.211943 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_id[cache_size=0.1,treshold=0.9] | 9039665 | 0.21195 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_id[cache_size=0.1,treshold=0.9] | 9341243 | 0.212244 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_id[cache_size=0.1,treshold=0.9] | 9341626 | 0.212244 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_id[cache_size=0.1,treshold=0.9] | 9341592 | 0.212245 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_id[cache_size=0.1,treshold=0.6] | 7647267 | 0.21228 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_id[cache_size=0.1,treshold=0.7] | 7853494 | 0.212471 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_id[cache_size=0.1,treshold=0.7] | 7850797 | 0.212473 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_id[cache_size=0.1,treshold=0.7] | 7850456 | 0.212475 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_id[cache_size=0.1,treshold=0.5] | 6878956 | 0.213398 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| Offline Clock 1st iteration | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_id[cache_size=0.1,treshold=0.6] | 6486303 | 0.215298 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_id[cache_size=0.1,treshold=0.6] | 6482567 | 0.215311 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_id[cache_size=0.1,treshold=0.6] | 6482470 | 0.215314 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_id[cache_size=0.1,treshold=0.5] | 5078846 | 0.219871 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_id[cache_size=0.1,treshold=0.5] | 5078375 | 0.219879 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_id[cache_size=0.1,treshold=0.5] | 5077209 | 0.219881 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_id[cache_size=0.1,treshold=0.3] | 3208931 | 0.227074 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_id[cache_size=0.1,treshold=0.3] | 2976614 | 0.2294 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_id[cache_size=0.1,treshold=0.3] | 2974787 | 0.229412 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_id[cache_size=0.1,treshold=0.3] | 2974231 | 0.229413 | ../../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 |
| LR_id[cache_size=0.2,treshold=0.7] | 7972640 | 0.149937 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_id[cache_size=0.2,treshold=0.8] | 8441973 | 0.150095 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_id[cache_size=0.2,treshold=0.6] | 7396653 | 0.150098 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| Zipf Optimal Distribution | 8501025 | 0.150135 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_id[cache_size=0.2,treshold=0.8] | 8538391 | 0.150334 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_id[cache_size=0.2,treshold=0.8] | 8539435 | 0.150335 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_id[cache_size=0.2,treshold=0.8] | 8539478 | 0.150335 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_id[cache_size=0.2,treshold=0.9] | 8880133 | 0.150495 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_id[cache_size=0.2,treshold=0.7] | 7574071 | 0.150578 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_id[cache_size=0.2,treshold=0.7] | 7572953 | 0.15058 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_id[cache_size=0.2,treshold=0.7] | 7572612 | 0.15058 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_id[cache_size=0.2,treshold=0.5] | 6597496 | 0.150948 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_id[cache_size=0.2,treshold=0.9] | 9179867 | 0.150957 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_id[cache_size=0.2,treshold=0.9] | 9180822 | 0.150958 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_id[cache_size=0.2,treshold=0.9] | 9181028 | 0.150959 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| Offline Clock 1st iteration | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_id[cache_size=0.2,treshold=0.6] | 6183808 | 0.152991 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_id[cache_size=0.2,treshold=0.6] | 6183597 | 0.152992 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_id[cache_size=0.2,treshold=0.6] | 6182464 | 0.152998 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_id[cache_size=0.2,treshold=0.5] | 4848241 | 0.156769 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_id[cache_size=0.2,treshold=0.5] | 4847388 | 0.15677 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_id[cache_size=0.2,treshold=0.5] | 4847207 | 0.156774 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_id[cache_size=0.2,treshold=0.3] | 3103419 | 0.162456 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_id[cache_size=0.2,treshold=0.3] | 2891019 | 0.164725 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_id[cache_size=0.2,treshold=0.3] | 2890529 | 0.164729 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_id[cache_size=0.2,treshold=0.3] | 2889403 | 0.164733 | ../../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 |
| LR_id[cache_size=0.4,treshold=0.6] | 6618955 | 0.0862246 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_id[cache_size=0.4,treshold=0.7] | 7273878 | 0.0863665 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| Zipf Optimal Distribution | 7661309 | 0.0866641 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_id[cache_size=0.4,treshold=0.5] | 5748724 | 0.0867235 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_id[cache_size=0.4,treshold=0.8] | 7835397 | 0.0868498 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_id[cache_size=0.4,treshold=0.7] | 6773620 | 0.0870922 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_id[cache_size=0.4,treshold=0.7] | 6773137 | 0.0870943 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_id[cache_size=0.4,treshold=0.7] | 6771483 | 0.0870967 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_id[cache_size=0.4,treshold=0.8] | 7907230 | 0.0872232 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_id[cache_size=0.4,treshold=0.8] | 7907149 | 0.0872239 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_id[cache_size=0.4,treshold=0.8] | 7906497 | 0.087224 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_id[cache_size=0.4,treshold=0.9] | 8361108 | 0.0876435 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_id[cache_size=0.4,treshold=0.9] | 8682248 | 0.088346 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_id[cache_size=0.4,treshold=0.9] | 8682295 | 0.0883461 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_id[cache_size=0.4,treshold=0.9] | 8682321 | 0.0883467 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_id[cache_size=0.4,treshold=0.6] | 5412843 | 0.0887588 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_id[cache_size=0.4,treshold=0.6] | 5412546 | 0.0887612 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_id[cache_size=0.4,treshold=0.6] | 5410547 | 0.0887671 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| Offline Clock 1st iteration | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_id[cache_size=0.4,treshold=0.5] | 4269384 | 0.0912721 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_id[cache_size=0.4,treshold=0.5] | 4269493 | 0.0912738 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_id[cache_size=0.4,treshold=0.5] | 4267964 | 0.0912791 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_id[cache_size=0.4,treshold=0.3] | 2795824 | 0.0945284 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_id[cache_size=0.4,treshold=0.3] | 2651932 | 0.0964927 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_id[cache_size=0.4,treshold=0.3] | 2651461 | 0.0964936 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_id[cache_size=0.4,treshold=0.3] | 2651369 | 0.096495 | ../../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_8_id[cache_size=0.01,treshold=0.9] | 9410677 | 0.404493 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_id[cache_size=0.01,treshold=0.9] | 9411069 | 0.404493 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_id[cache_size=0.01,treshold=0.9] | 9409383 | 0.404493 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_id[cache_size=0.01,treshold=0.9] | 9118956 | 0.404499 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_id[cache_size=0.01,treshold=0.8] | 8857469 | 0.4047 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_id[cache_size=0.01,treshold=0.8] | 8855528 | 0.404704 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_id[cache_size=0.01,treshold=0.8] | 8853904 | 0.404707 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_id[cache_size=0.01,treshold=0.8] | 8730231 | 0.404721 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_id[cache_size=0.01,treshold=0.7] | 8315838 | 0.40516 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| Offline Clock 1st iteration | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_id[cache_size=0.01,treshold=0.7] | 8062491 | 0.405724 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_id[cache_size=0.01,treshold=0.7] | 8051860 | 0.405756 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_id[cache_size=0.01,treshold=0.7] | 8044949 | 0.405779 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_id[cache_size=0.01,treshold=0.6] | 7801661 | 0.405974 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_id[cache_size=0.01,treshold=0.5] | 7070103 | 0.407609 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_id[cache_size=0.01,treshold=0.6] | 6819616 | 0.408917 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_id[cache_size=0.01,treshold=0.6] | 6800029 | 0.409017 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_id[cache_size=0.01,treshold=0.6] | 6789166 | 0.409076 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_id[cache_size=0.01,treshold=0.5] | 5354665 | 0.414536 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_id[cache_size=0.01,treshold=0.5] | 5352336 | 0.414575 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_id[cache_size=0.01,treshold=0.5] | 5354640 | 0.414577 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_id[cache_size=0.01,treshold=0.3] | 3387293 | 0.423521 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_id[cache_size=0.01,treshold=0.3] | 3083078 | 0.426186 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_id[cache_size=0.01,treshold=0.3] | 3079583 | 0.426215 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_id[cache_size=0.01,treshold=0.3] | 3071510 | 0.426272 | ../../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 |
| LR_id[cache_size=0.1,treshold=0.8] | 8629384 | 0.211872 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_id[cache_size=0.1,treshold=0.7] | 8191979 | 0.211936 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| Zipf Optimal Distribution | 8923837 | 0.21197 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_id[cache_size=0.1,treshold=0.8] | 8754745 | 0.212015 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_id[cache_size=0.1,treshold=0.8] | 8754920 | 0.212016 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_id[cache_size=0.1,treshold=0.8] | 8754617 | 0.212016 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_id[cache_size=0.1,treshold=0.9] | 9039755 | 0.212031 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_id[cache_size=0.1,treshold=0.9] | 9342094 | 0.21231 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_id[cache_size=0.1,treshold=0.9] | 9342552 | 0.212311 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_id[cache_size=0.1,treshold=0.9] | 9342487 | 0.212311 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_id[cache_size=0.1,treshold=0.6] | 7647777 | 0.212341 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_id[cache_size=0.1,treshold=0.7] | 7854937 | 0.212546 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_id[cache_size=0.1,treshold=0.7] | 7852605 | 0.212549 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_id[cache_size=0.1,treshold=0.7] | 7852206 | 0.212552 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_id[cache_size=0.1,treshold=0.5] | 6877809 | 0.213473 | ../../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_id[cache_size=0.1,treshold=0.6] | 6485766 | 0.215376 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_id[cache_size=0.1,treshold=0.6] | 6481970 | 0.21539 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_id[cache_size=0.1,treshold=0.6] | 6482005 | 0.215393 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_id[cache_size=0.1,treshold=0.5] | 5076838 | 0.219951 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_id[cache_size=0.1,treshold=0.5] | 5076289 | 0.21996 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_id[cache_size=0.1,treshold=0.5] | 5075084 | 0.219962 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_id[cache_size=0.1,treshold=0.3] | 3210331 | 0.227139 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_id[cache_size=0.1,treshold=0.3] | 2977124 | 0.229471 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_id[cache_size=0.1,treshold=0.3] | 2975448 | 0.229481 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_id[cache_size=0.1,treshold=0.3] | 2974907 | 0.229481 | ../../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 |
| LR_id[cache_size=0.2,treshold=0.7] | 7971756 | 0.150029 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_id[cache_size=0.2,treshold=0.8] | 8442812 | 0.150187 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_id[cache_size=0.2,treshold=0.6] | 7400389 | 0.150191 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| Zipf Optimal Distribution | 8501803 | 0.150225 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_id[cache_size=0.2,treshold=0.8] | 8540239 | 0.150421 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_id[cache_size=0.2,treshold=0.8] | 8541229 | 0.150422 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_id[cache_size=0.2,treshold=0.8] | 8541371 | 0.150422 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_id[cache_size=0.2,treshold=0.9] | 8880816 | 0.150595 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_id[cache_size=0.2,treshold=0.7] | 7577046 | 0.150665 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_id[cache_size=0.2,treshold=0.7] | 7575633 | 0.150667 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_id[cache_size=0.2,treshold=0.7] | 7575859 | 0.150668 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_id[cache_size=0.2,treshold=0.5] | 6598915 | 0.151029 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_id[cache_size=0.2,treshold=0.9] | 9181435 | 0.151043 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_id[cache_size=0.2,treshold=0.9] | 9182305 | 0.151044 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_id[cache_size=0.2,treshold=0.9] | 9182539 | 0.151045 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| Offline Clock 1st iteration | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_id[cache_size=0.2,treshold=0.6] | 6187691 | 0.153081 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_id[cache_size=0.2,treshold=0.6] | 6187412 | 0.153082 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_id[cache_size=0.2,treshold=0.6] | 6186171 | 0.153088 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_id[cache_size=0.2,treshold=0.5] | 4849243 | 0.156861 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_id[cache_size=0.2,treshold=0.5] | 4848378 | 0.156863 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_id[cache_size=0.2,treshold=0.5] | 4848075 | 0.156868 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_id[cache_size=0.2,treshold=0.3] | 3103858 | 0.162548 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_id[cache_size=0.2,treshold=0.3] | 2889792 | 0.164828 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_id[cache_size=0.2,treshold=0.3] | 2889207 | 0.164832 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_id[cache_size=0.2,treshold=0.3] | 2888117 | 0.164836 | ../../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 |
| LR_id[cache_size=0.4,treshold=0.6] | 6629563 | 0.0862773 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_id[cache_size=0.4,treshold=0.7] | 7277508 | 0.086428 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| Zipf Optimal Distribution | 7662557 | 0.0867323 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_id[cache_size=0.4,treshold=0.5] | 5762523 | 0.0867773 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_id[cache_size=0.4,treshold=0.8] | 7839055 | 0.0869131 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_id[cache_size=0.4,treshold=0.7] | 6776845 | 0.0871428 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_id[cache_size=0.4,treshold=0.7] | 6776240 | 0.0871441 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_id[cache_size=0.4,treshold=0.7] | 6774512 | 0.0871471 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_id[cache_size=0.4,treshold=0.8] | 7909913 | 0.087278 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_id[cache_size=0.4,treshold=0.8] | 7910430 | 0.0872782 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_id[cache_size=0.4,treshold=0.8] | 7910454 | 0.0872782 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_id[cache_size=0.4,treshold=0.9] | 8364424 | 0.0876923 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_id[cache_size=0.4,treshold=0.9] | 8688734 | 0.088387 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_id[cache_size=0.4,treshold=0.9] | 8688779 | 0.0883871 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_id[cache_size=0.4,treshold=0.9] | 8688685 | 0.0883872 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_id[cache_size=0.4,treshold=0.6] | 5415633 | 0.0888408 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_id[cache_size=0.4,treshold=0.6] | 5415350 | 0.0888433 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_id[cache_size=0.4,treshold=0.6] | 5413295 | 0.0888493 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| Offline Clock 1st iteration | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_id[cache_size=0.4,treshold=0.5] | 4274549 | 0.0913376 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_id[cache_size=0.4,treshold=0.5] | 4274688 | 0.0913389 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_id[cache_size=0.4,treshold=0.5] | 4273128 | 0.0913445 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_id[cache_size=0.4,treshold=0.3] | 2797279 | 0.0945866 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_id[cache_size=0.4,treshold=0.3] | 2651871 | 0.0965619 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_id[cache_size=0.4,treshold=0.3] | 2651334 | 0.0965631 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_id[cache_size=0.4,treshold=0.3] | 2651298 | 0.096564 | ../../result/log/zipf_1_19 | 0.4 | 1 |