Zipf1 Decay Model with All Treshold Test Data Result Obj Size Ignored
Result
Model Summaries
| Model | Better than base % of the times |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | 0 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | 0 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 0 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 0 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.8] | 0 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.9] | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.8] | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.9] | 0 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.3] | 0 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.5] | 0 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.6] | 0 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.7] | 0 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.8] | 0 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.9] | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.3] | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.5] | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.6] | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.7] | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.8] | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.9] | 0 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.3] | 0 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.5] | 0 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.6] | 0 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.7] | 0 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.8] | 0 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.9] | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.3] | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.5] | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.6] | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.7] | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.8] | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.9] | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.5] | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.8] | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.9] | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.5] | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.6] | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.8] | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.9] | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.8] | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.9] | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.8] | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.9] | 0 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.3] | 0 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.5] | 0 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.6] | 0 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.7] | 0 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.8] | 0 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.9] | 0 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.3] | 0 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.5] | 0 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.6] | 0 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.7] | 0 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.8] | 0 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.9] | 0 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.3] | 0 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.5] | 0 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.6] | 0 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.7] | 0 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.8] | 0 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.9] | 0 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.3] | 0 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.5] | 0 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.6] | 0 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.7] | 0 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.8] | 0 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.9] | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.5] | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.8] | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.9] | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.5] | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.6] | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.8] | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.9] | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.8] | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.9] | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.8] | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.9] | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.3] | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.5] | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.6] | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.7] | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.8] | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.9] | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.3] | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.5] | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.6] | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.7] | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.8] | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.9] | 0 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.3] | 0 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.5] | 0 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.6] | 0 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.7] | 0 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.8] | 0 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.9] | 0 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.3] | 0 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.5] | 0 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.6] | 0 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.7] | 0 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.8] | 0 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.9] | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.5] | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.8] | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.9] | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.5] | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.6] | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.8] | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.9] | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.8] | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.9] | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.8] | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.9] | 0 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.3] | 0 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.5] | 0 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.6] | 0 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.7] | 0 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.8] | 0 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.9] | 0 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.3] | 0 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.5] | 0 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.6] | 0 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.7] | 0 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.8] | 0 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.9] | 0 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.3] | 0 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.5] | 0 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.6] | 0 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.7] | 0 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.8] | 0 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.9] | 0 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.3] | 0 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.5] | 0 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.6] | 0 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.7] | 0 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.8] | 0 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.9] | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.5] | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.8] | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.9] | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.5] | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.6] | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.8] | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.9] | 0 |
| Offline Clock 1st iteration | 0 |
| Offline Clock 2nd iteration | 100 |
| Zipf Optimal Distribution | 100 |
| Model | Max | Min | Avg | Mdn |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | 67.8282 | 67.7813 | 67.7968 | 67.7885 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | 56.4884 | 56.4581 | 56.4771 | 56.4821 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 48.3661 | 48.3242 | 48.3463 | 48.3529 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 36.3781 | 36.3493 | 36.366 | 36.3718 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.8] | 16.3437 | 16.3183 | 16.3308 | 16.3313 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 85.2614 | 85.2307 | 85.2454 | 85.2447 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | 63.6617 | 63.62 | 63.6488 | 63.656 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 37.2107 | 37.1812 | 37.1935 | 37.195 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 0.0123591 | 0.0110348 | 0.0114865 | 0.0111867 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.8] | 0.00053652 | 0.000335257 | 0.000427203 | 0.000430919 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.3] | 67.8117 | 67.764 | 67.7806 | 67.7732 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.5] | 56.4736 | 56.4458 | 56.463 | 56.4691 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.6] | 48.3509 | 48.3121 | 48.3326 | 48.339 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.7] | 36.3647 | 36.3337 | 36.3519 | 36.3568 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.8] | 16.4056 | 16.3827 | 16.3942 | 16.3936 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.3] | 86.0577 | 86.0382 | 86.0477 | 86.0474 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.5] | 63.6526 | 63.6064 | 63.6383 | 63.6434 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.6] | 36.6564 | 36.6169 | 36.6326 | 36.6337 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.3] | 67.8225 | 67.7773 | 67.7931 | 67.7856 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.5] | 56.4888 | 56.4576 | 56.476 | 56.4804 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.6] | 48.3555 | 48.3178 | 48.337 | 48.343 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.7] | 36.3463 | 36.3114 | 36.3307 | 36.3352 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.8] | 16.3956 | 16.3763 | 16.3862 | 16.3844 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.3] | 86.6303 | 86.6167 | 86.6239 | 86.6227 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.5] | 64.5077 | 64.469 | 64.4944 | 64.4977 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.6] | 35.5018 | 35.4628 | 35.4818 | 35.484 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | 83.1648 | 83.1519 | 83.1572 | 83.1548 |
| LR_decay_rtime[cache_size=0.01,treshold=0.5] | 63.9045 | 63.8833 | 63.8961 | 63.8992 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | 42.9958 | 42.9828 | 42.9889 | 42.9862 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | 21.0626 | 21.0399 | 21.053 | 21.0563 |
| LR_decay_rtime[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | 88.7381 | 88.7268 | 88.7324 | 88.7316 |
| LR_decay_vtime[cache_size=0.01,treshold=0.5] | 78.9356 | 78.8953 | 78.9192 | 78.9232 |
| LR_decay_vtime[cache_size=0.01,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 75.7924 | 75.7577 | 75.78 | 75.7855 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 63.9465 | 63.9038 | 63.9266 | 63.9337 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 53.9288 | 53.8688 | 53.9037 | 53.9124 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7885 | 29.7363 | 29.7606 | 29.7615 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 83.629 | 83.5877 | 83.6089 | 83.6057 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 59.9918 | 59.9463 | 59.9715 | 59.9793 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 38.7766 | 38.6998 | 38.7353 | 38.741 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 1.27606 | 1.24021 | 1.26179 | 1.26404 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.8] | 3.89545e-05 | 0 | 1.55786e-05 | 9.73649e-06 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.3] | 75.7952 | 75.7602 | 75.7827 | 75.7877 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.5] | 63.9446 | 63.9002 | 63.9235 | 63.9312 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.6] | 53.9202 | 53.8608 | 53.8949 | 53.9047 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.7] | 29.8001 | 29.7536 | 29.7749 | 29.7767 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.3] | 83.8626 | 83.835 | 83.8475 | 83.8441 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.5] | 60.1868 | 60.1425 | 60.1657 | 60.1682 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.6] | 38.6699 | 38.5923 | 38.629 | 38.6328 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.7] | 0.348555 | 0.302971 | 0.325305 | 0.322731 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.3] | 75.8057 | 75.7712 | 75.7945 | 75.8 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.5] | 63.9373 | 63.8902 | 63.9144 | 63.9207 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.6] | 53.8888 | 53.8284 | 53.8645 | 53.8731 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.7] | 29.795 | 29.7477 | 29.7683 | 29.7692 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.8] | 0.0011589 | 0.00074971 | 0.00100663 | 0.00109018 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.3] | 83.9784 | 83.9536 | 83.9649 | 83.9617 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.5] | 60.2505 | 60.2055 | 60.2296 | 60.2324 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.6] | 38.5841 | 38.5032 | 38.5403 | 38.5437 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.7] | 0.0323517 | 0.0284586 | 0.0300374 | 0.0296905 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | 78.3511 | 78.3288 | 78.3419 | 78.341 |
| LR_decay_rtime[cache_size=0.1,treshold=0.5] | 62.2431 | 62.1872 | 62.2175 | 62.2269 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | 47.6731 | 47.6203 | 47.6407 | 47.6343 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | 23.1949 | 23.1637 | 23.1836 | 23.1838 |
| LR_decay_rtime[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | 98.1198 | 98.1126 | 98.1156 | 98.1159 |
| LR_decay_vtime[cache_size=0.1,treshold=0.5] | 95.9061 | 95.8976 | 95.9029 | 95.9036 |
| LR_decay_vtime[cache_size=0.1,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 81.2642 | 81.246 | 81.2538 | 81.2525 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | 66.8995 | 66.8546 | 66.875 | 66.8721 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 56.4722 | 56.4611 | 56.4676 | 56.4672 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 0.00734788 | 0.00627782 | 0.00680156 | 0.00681926 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.8] | 0.000399983 | 0.000219937 | 0.000315886 | 0.000319889 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 82.5892 | 82.5715 | 82.5787 | 82.5759 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 59.8093 | 59.7863 | 59.7971 | 59.7959 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 39.6949 | 39.6482 | 39.6709 | 39.6686 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 4.14884 | 4.11541 | 4.13316 | 4.13037 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.3] | 81.3732 | 81.3563 | 81.3634 | 81.3625 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.5] | 66.9198 | 66.8755 | 66.8963 | 66.895 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.6] | 56.5253 | 56.5156 | 56.52 | 56.5185 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.3] | 82.5519 | 82.5307 | 82.5397 | 82.5381 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.5] | 59.8017 | 59.7802 | 59.7899 | 59.7881 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.6] | 39.7323 | 39.6844 | 39.7078 | 39.7041 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.7] | 4.31487 | 4.28765 | 4.30283 | 4.30227 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.3] | 81.1785 | 81.1599 | 81.1692 | 81.1711 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.5] | 66.8726 | 66.8309 | 66.851 | 66.8496 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.6] | 56.4336 | 56.4218 | 56.4292 | 56.4299 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.7] | 0.0129086 | 0.0117876 | 0.0124336 | 0.0125295 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.8] | 0.00326906 | 0.00245915 | 0.00298893 | 0.00311966 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.9] | 0.000199992 | 8.99741e-05 | 0.000145953 | 0.000129955 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.3] | 82.6194 | 82.6005 | 82.6088 | 82.6057 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.5] | 59.8153 | 59.7931 | 59.8038 | 59.803 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.6] | 39.6478 | 39.5967 | 39.622 | 39.6175 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.7] | 3.96527 | 3.93742 | 3.95124 | 3.95278 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | 79.7827 | 79.773 | 79.7775 | 79.7776 |
| LR_decay_rtime[cache_size=0.2,treshold=0.5] | 65.5598 | 65.5148 | 65.5391 | 65.5437 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | 53.044 | 53.0295 | 53.0372 | 53.0391 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | 98.985 | 98.9794 | 98.9816 | 98.9811 |
| LR_decay_vtime[cache_size=0.2,treshold=0.5] | 97.8342 | 97.8299 | 97.8322 | 97.8322 |
| LR_decay_vtime[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6364 | 80.5942 | 80.6168 | 80.6126 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 59.6696 | 59.6298 | 59.6494 | 59.6452 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2799 | 41.1786 | 41.2212 | 41.2187 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 9.14622 | 9.07493 | 9.09984 | 9.09161 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4395 | 80.4036 | 80.4236 | 80.4182 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | 59.3149 | 59.2213 | 59.2666 | 59.2741 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 41.1381 | 41.0351 | 41.0759 | 41.0723 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 9.73816 | 9.67011 | 9.68884 | 9.68025 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6287 | 80.5871 | 80.6099 | 80.6074 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.5] | 59.6621 | 59.6227 | 59.6426 | 59.6394 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.6] | 41.283 | 41.1815 | 41.2248 | 41.2225 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.7] | 9.16032 | 9.09081 | 9.11483 | 9.10767 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4316 | 80.3961 | 80.4157 | 80.4101 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.5] | 59.2998 | 59.2023 | 59.2485 | 59.2557 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.6] | 41.1176 | 41.0138 | 41.0557 | 41.0527 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.7] | 9.71146 | 9.6443 | 9.66265 | 9.65421 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6459 | 80.6046 | 80.6267 | 80.6239 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.5] | 59.676 | 59.6376 | 59.6559 | 59.6513 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2734 | 41.1719 | 41.2153 | 41.2133 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.7] | 9.10534 | 9.03608 | 9.05942 | 9.05079 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4505 | 80.4124 | 80.4333 | 80.4278 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.5] | 59.3114 | 59.2161 | 59.2623 | 59.2698 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.6] | 41.1118 | 41.0056 | 41.0488 | 41.0456 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.7] | 9.65327 | 9.59034 | 9.60868 | 9.60011 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | 86.2779 | 86.2688 | 86.2733 | 86.2719 |
| LR_decay_rtime[cache_size=0.4,treshold=0.5] | 77.4655 | 77.4274 | 77.4485 | 77.4519 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | 56.4765 | 56.4193 | 56.4422 | 56.4435 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | 99.6132 | 99.606 | 99.6094 | 99.6089 |
| LR_decay_vtime[cache_size=0.4,treshold=0.5] | 99.0597 | 99.0545 | 99.0562 | 99.0554 |
| LR_decay_vtime[cache_size=0.4,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 | 0 | 0 |
| Offline Clock 2nd iteration | 43.4673 | 41.4753 | 42.6567 | 43.0175 |
| Zipf Optimal Distribution | 17.0869 | 6.59027 | 12.1282 | 13.1121 |
Miss Ratio Reduced (%)
| Model | Max | Min | Avg | Mdn |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | -4.58077 | -4.59878 | -4.58505 | -4.58171 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | -3.0176 | -3.03426 | -3.02322 | -3.02186 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | -2.08708 | -2.09713 | -2.09183 | -2.0911 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | -1.00321 | -1.01315 | -1.00922 | -1.011 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.8] | -0.0120911 | -0.020723 | -0.0158914 | -0.0153021 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | -8.4021 | -8.41912 | -8.40882 | -8.40943 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | -5.59918 | -5.61415 | -5.60567 | -5.60483 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | -2.8999 | -2.91011 | -2.90359 | -2.90345 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | -0.00123396 | -0.0017273 | -0.00152992 | -0.00148085 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.8] | 0 | -0.000246758 | -4.93515e-05 | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.3] | -4.5783 | -4.59631 | -4.58258 | -4.57924 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.5] | -3.01562 | -3.03228 | -3.02129 | -3.01974 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.6] | -2.08535 | -2.09515 | -2.09025 | -2.08986 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.7] | -1.00173 | -1.01167 | -1.00769 | -1.00952 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.8] | -0.00863652 | -0.0180093 | -0.0130289 | -0.012834 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.3] | -8.52449 | -8.54104 | -8.53082 | -8.52986 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.5] | -5.59696 | -5.61168 | -5.60354 | -5.60267 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.6] | -2.84684 | -2.85853 | -2.85122 | -2.8504 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.3] | -4.58052 | -4.59779 | -4.58455 | -4.58121 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.5] | -3.01686 | -3.03401 | -3.02258 | -3.02112 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.6] | -2.08535 | -2.0954 | -2.0901 | -2.08937 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.7] | -0.998766 | -1.0087 | -1.00483 | -1.00631 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.8] | -0.000493515 | -0.00962139 | -0.00458954 | -0.00444255 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.3] | -8.61998 | -8.6336 | -8.62434 | -8.62364 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.5] | -5.69689 | -5.71065 | -5.70205 | -5.70079 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.6] | -2.74345 | -2.75463 | -2.74842 | -2.74799 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | -7.43061 | -7.44472 | -7.43415 | -7.43189 |
| LR_decay_rtime[cache_size=0.01,treshold=0.5] | -5.40769 | -5.41917 | -5.41131 | -5.40919 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | -3.92616 | -3.93264 | -3.92944 | -3.92947 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | -2.1115 | -2.11627 | -2.11374 | -2.11292 |
| LR_decay_rtime[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | -8.89485 | -8.90928 | -8.89904 | -8.89709 |
| LR_decay_vtime[cache_size=0.01,treshold=0.5] | -7.4812 | -7.49581 | -7.48631 | -7.48519 |
| LR_decay_vtime[cache_size=0.01,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | -8.5622 | -8.57836 | -8.56731 | -8.56651 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | -5.76907 | -5.79047 | -5.77488 | -5.77175 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | -3.89765 | -3.91643 | -3.90478 | -3.90363 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | -1.48348 | -1.49776 | -1.48959 | -1.48797 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | -12.6236 | -12.6359 | -12.6307 | -12.6318 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | -7.69874 | -7.71361 | -7.70577 | -7.70458 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | -4.39381 | -4.41099 | -4.40228 | -4.40196 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | -0.115897 | -0.122047 | -0.118577 | -0.118793 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.3] | -8.56267 | -8.5793 | -8.56825 | -8.56745 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.5] | -5.7686 | -5.79093 | -5.77479 | -5.77165 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.6] | -3.89719 | -3.91597 | -3.90385 | -3.9027 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.7] | -1.48489 | -1.4987 | -1.49062 | -1.4889 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.3] | -12.684 | -12.694 | -12.6889 | -12.6879 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.5] | -7.73332 | -7.74634 | -7.73943 | -7.73918 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.6] | -4.37745 | -4.39603 | -4.38713 | -4.38747 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.7] | -0.0294416 | -0.0327383 | -0.0311406 | -0.0308625 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.3] | -8.56547 | -8.58211 | -8.57124 | -8.57072 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.5] | -5.7672 | -5.78953 | -5.77339 | -5.76988 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.6] | -3.89251 | -3.91129 | -3.89973 | -3.89802 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.7] | -1.48769 | -1.50197 | -1.49342 | -1.49171 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.3] | -12.7139 | -12.723 | -12.7181 | -12.7174 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.5] | -7.74314 | -7.75757 | -7.75056 | -7.75181 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.6] | -4.36483 | -4.38434 | -4.37488 | -4.37484 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.7] | -0.00280396 | -0.00327383 | -0.0029925 | -0.00280568 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | -9.71045 | -9.73169 | -9.71782 | -9.71514 |
| LR_decay_rtime[cache_size=0.1,treshold=0.5] | -6.84073 | -6.85867 | -6.84646 | -6.84264 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | -4.97236 | -4.98943 | -4.98057 | -4.98172 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | -2.5194 | -2.52786 | -2.52376 | -2.52335 |
| LR_decay_rtime[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | -16.8055 | -16.8289 | -16.814 | -16.8116 |
| LR_decay_vtime[cache_size=0.1,treshold=0.5] | -16.0676 | -16.0885 | -16.0751 | -16.0733 |
| LR_decay_vtime[cache_size=0.1,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | -12.5516 | -12.561 | -12.555 | -12.5537 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | -9.46559 | -9.4814 | -9.47742 | -9.48085 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | -7.39834 | -7.41252 | -7.40403 | -7.40246 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | -0.000654515 | -0.00130971 | -0.00104729 | -0.00130859 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | -14.5905 | -14.6003 | -14.597 | -14.598 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | -8.80982 | -8.81762 | -8.81409 | -8.81335 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | -5.09984 | -5.11987 | -5.11214 | -5.11221 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | -0.433144 | -0.438097 | -0.435678 | -0.436007 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.3] | -12.5581 | -12.5669 | -12.5619 | -12.5608 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.5] | -9.46755 | -9.48282 | -9.47873 | -9.48223 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.6] | -7.40554 | -7.41906 | -7.41083 | -7.41032 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.3] | -14.5794 | -14.5879 | -14.5855 | -14.5869 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.5] | -8.80851 | -8.81599 | -8.81278 | -8.81204 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.6] | -5.10573 | -5.1251 | -5.11803 | -5.1181 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.7] | -0.452924 | -0.456301 | -0.454398 | -0.454215 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.3] | -12.5444 | -12.5532 | -12.5478 | -12.5459 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.5] | -9.46297 | -9.47879 | -9.47467 | -9.47765 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.6] | -7.39376 | -7.40729 | -7.39866 | -7.3964 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.7] | -0.00196289 | -0.00196456 | -0.00196369 | -0.00196354 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.8] | 0 | -0.000654853 | -0.000523631 | -0.000654489 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.3] | -14.6003 | -14.6101 | -14.6065 | -14.6078 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.5] | -8.81113 | -8.8186 | -8.81566 | -8.81531 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.6] | -5.09133 | -5.11113 | -5.10402 | -5.10436 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.7] | -0.412439 | -0.416487 | -0.414208 | -0.414308 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | -12.64 | -12.6507 | -12.6458 | -12.6465 |
| LR_decay_rtime[cache_size=0.2,treshold=0.5] | -9.36021 | -9.3813 | -9.37374 | -9.37553 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | -6.96432 | -6.97283 | -6.96822 | -6.966 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | -20.7329 | -20.747 | -20.7376 | -20.7363 |
| LR_decay_vtime[cache_size=0.2,treshold=0.5] | -20.1903 | -20.2075 | -20.1983 | -20.197 |
| LR_decay_vtime[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | -16.3829 | -16.4379 | -16.4154 | -16.4254 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | -9.74211 | -9.80403 | -9.7766 | -9.78019 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | -5.77502 | -5.81742 | -5.79959 | -5.80283 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | -1.00687 | -1.03073 | -1.02295 | -1.02382 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | -16.3261 | -16.3777 | -16.3581 | -16.3686 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | -9.64996 | -9.71384 | -9.68346 | -9.68488 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | -5.75028 | -5.79121 | -5.77332 | -5.77653 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | -1.07807 | -1.10914 | -1.09927 | -1.10456 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.3] | -16.3796 | -16.4357 | -16.4132 | -16.4232 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.5] | -9.74055 | -9.80214 | -9.77468 | -9.77829 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.6] | -5.77569 | -5.81787 | -5.79999 | -5.80294 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.7] | -1.00798 | -1.03218 | -1.02445 | -1.02628 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.3] | -16.3228 | -16.3755 | -16.355 | -16.3652 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.5] | -9.6484 | -9.71061 | -9.67989 | -9.68164 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.6] | -5.74683 | -5.78697 | -5.7694 | -5.77251 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.7] | -1.07507 | -1.1058 | -1.09581 | -1.10111 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.3] | -16.3874 | -16.4424 | -16.4201 | -16.4288 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.5] | -9.74389 | -9.80537 | -9.77845 | -9.78152 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.6] | -5.77413 | -5.8162 | -5.79831 | -5.8015 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.7] | -1.00186 | -1.02493 | -1.0172 | -1.01836 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.3] | -16.3294 | -16.3822 | -16.3617 | -16.3719 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.5] | -9.64962 | -9.7134 | -9.6827 | -9.68432 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.6] | -5.74594 | -5.78608 | -5.76842 | -5.7714 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.7] | -1.06771 | -1.09877 | -1.08885 | -1.09428 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | -18.2884 | -18.3529 | -18.3273 | -18.3383 |
| LR_decay_rtime[cache_size=0.4,treshold=0.5] | -14.8664 | -14.9185 | -14.8992 | -14.9085 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | -8.84845 | -8.89001 | -8.87027 | -8.87001 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | -26.3892 | -26.4608 | -26.4262 | -26.4192 |
| LR_decay_vtime[cache_size=0.4,treshold=0.5] | -25.9725 | -26.0439 | -26.0089 | -26.0035 |
| LR_decay_vtime[cache_size=0.4,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 | 0 | 0 |
| Offline Clock 2nd iteration | 7.80369 | 0.100977 | 2.73498 | 1.84941 |
| Zipf Optimal Distribution | 3.35401 | 0.0684004 | 1.23463 | 0.902408 |
Model Summaries Plot
Miss Ratio Reduced (%)
Cache Size All
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
| Offline Clock 2nd iteration | 42.6567 | 2.73498 |
| Zipf Optimal Distribution | 12.1282 | 1.23463 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.8] | 0.000315886 | 0 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.8] | 1.55786e-05 | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.8] | 0.00100663 | 0 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.9] | 0.000145953 | 0 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.8] | 0.000427203 | -4.93515e-05 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.8] | 0.00298893 | -0.000523631 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 0.00680156 | -0.00104729 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 0.0114865 | -0.00152992 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.7] | 0.0124336 | -0.00196369 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.7] | 0.0300374 | -0.0029925 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.8] | 16.3862 | -0.00458954 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.8] | 16.3942 | -0.0130289 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.8] | 16.3308 | -0.0158914 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.7] | 0.325305 | -0.0311406 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 1.26179 | -0.118577 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.7] | 3.95124 | -0.414208 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 4.13316 | -0.435678 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.7] | 4.30283 | -0.454398 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.7] | 36.3307 | -1.00483 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.7] | 36.3519 | -1.00769 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 36.366 | -1.00922 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.7] | 9.05942 | -1.0172 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 9.09984 | -1.02295 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.7] | 9.11483 | -1.02445 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.7] | 9.60868 | -1.08885 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.7] | 9.66265 | -1.09581 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 9.68884 | -1.09927 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7606 | -1.48959 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7749 | -1.49062 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7683 | -1.49342 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.6] | 48.337 | -2.0901 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.6] | 48.3326 | -2.09025 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 48.3463 | -2.09183 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | 21.053 | -2.11374 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | 23.1836 | -2.52376 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.6] | 35.4818 | -2.74842 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.6] | 36.6326 | -2.85122 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 37.1935 | -2.90359 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.5] | 56.463 | -3.02129 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.5] | 56.476 | -3.02258 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | 56.4771 | -3.02322 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.6] | 53.8645 | -3.89973 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.6] | 53.8949 | -3.90385 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 53.9037 | -3.90478 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | 42.9889 | -3.92944 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.6] | 38.5403 | -4.37488 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.6] | 38.629 | -4.38713 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 38.7353 | -4.40228 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.3] | 67.7806 | -4.58258 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.3] | 67.7931 | -4.58455 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | 67.7968 | -4.58505 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | 47.6407 | -4.98057 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.6] | 39.622 | -5.10402 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 39.6709 | -5.11214 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.6] | 39.7078 | -5.11803 |
| LR_decay_rtime[cache_size=0.01,treshold=0.5] | 63.8961 | -5.41131 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.5] | 63.6383 | -5.60354 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | 63.6488 | -5.60567 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.5] | 64.4944 | -5.70205 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.6] | 41.0488 | -5.76842 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.6] | 41.0557 | -5.7694 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 41.0759 | -5.77332 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.5] | 63.9144 | -5.77339 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.5] | 63.9235 | -5.77479 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 63.9266 | -5.77488 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2153 | -5.79831 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2212 | -5.79959 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2248 | -5.79999 |
| LR_decay_rtime[cache_size=0.1,treshold=0.5] | 62.2175 | -6.84646 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | 53.0372 | -6.96822 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.6] | 56.4292 | -7.39866 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 56.4676 | -7.40403 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.6] | 56.52 | -7.41083 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | 83.1572 | -7.43415 |
| LR_decay_vtime[cache_size=0.01,treshold=0.5] | 78.9192 | -7.48631 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 59.9715 | -7.70577 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.5] | 60.1657 | -7.73943 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.5] | 60.2296 | -7.75056 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 85.2454 | -8.40882 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.3] | 86.0477 | -8.53082 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 75.78 | -8.56731 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.3] | 75.7827 | -8.56825 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.3] | 75.7945 | -8.57124 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.3] | 86.6239 | -8.62434 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.5] | 59.7899 | -8.81278 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 59.7971 | -8.81409 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.5] | 59.8038 | -8.81566 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | 56.4422 | -8.87027 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | 88.7324 | -8.89904 |
| LR_decay_rtime[cache_size=0.2,treshold=0.5] | 65.5391 | -9.37374 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.5] | 66.851 | -9.47467 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | 66.875 | -9.47742 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.5] | 66.8963 | -9.47873 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.5] | 59.2485 | -9.67989 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.5] | 59.2623 | -9.6827 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | 59.2666 | -9.68346 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | 78.3419 | -9.71782 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.5] | 59.6426 | -9.77468 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 59.6494 | -9.7766 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.5] | 59.6559 | -9.77845 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.3] | 81.1692 | -12.5478 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 81.2538 | -12.555 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.3] | 81.3634 | -12.5619 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 83.6089 | -12.6307 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | 79.7775 | -12.6458 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.3] | 83.8475 | -12.6889 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.3] | 83.9649 | -12.7181 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.3] | 82.5397 | -14.5855 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 82.5787 | -14.597 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.3] | 82.6088 | -14.6065 |
| LR_decay_rtime[cache_size=0.4,treshold=0.5] | 77.4485 | -14.8992 |
| LR_decay_vtime[cache_size=0.1,treshold=0.5] | 95.9029 | -16.0751 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4157 | -16.355 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4236 | -16.3581 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4333 | -16.3617 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6099 | -16.4132 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6168 | -16.4154 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6267 | -16.4201 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | 98.1156 | -16.814 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | 86.2733 | -18.3273 |
| LR_decay_vtime[cache_size=0.2,treshold=0.5] | 97.8322 | -20.1983 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | 98.9816 | -20.7376 |
| LR_decay_vtime[cache_size=0.4,treshold=0.5] | 99.0562 | -26.0089 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | 99.6094 | -26.4262 |
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_8_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.8] | 0.000427203 | -4.93515e-05 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 0.0114865 | -0.00152992 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.8] | 16.3862 | -0.00458954 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.8] | 16.3942 | -0.0130289 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.8] | 16.3308 | -0.0158914 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.7] | 36.3307 | -1.00483 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.7] | 36.3519 | -1.00769 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 36.366 | -1.00922 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.6] | 48.337 | -2.0901 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.6] | 48.3326 | -2.09025 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 48.3463 | -2.09183 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | 21.053 | -2.11374 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.6] | 35.4818 | -2.74842 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.6] | 36.6326 | -2.85122 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 37.1935 | -2.90359 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.5] | 56.463 | -3.02129 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.5] | 56.476 | -3.02258 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | 56.4771 | -3.02322 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | 42.9889 | -3.92944 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.3] | 67.7806 | -4.58258 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.3] | 67.7931 | -4.58455 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | 67.7968 | -4.58505 |
| LR_decay_rtime[cache_size=0.01,treshold=0.5] | 63.8961 | -5.41131 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.5] | 63.6383 | -5.60354 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | 63.6488 | -5.60567 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.5] | 64.4944 | -5.70205 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | 83.1572 | -7.43415 |
| LR_decay_vtime[cache_size=0.01,treshold=0.5] | 78.9192 | -7.48631 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 85.2454 | -8.40882 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.3] | 86.0477 | -8.53082 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.3] | 86.6239 | -8.62434 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | 88.7324 | -8.89904 |
Cache Size 0.1
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
| Offline Clock 2nd iteration | 43.0216 | 1.84971 |
| Zipf Optimal Distribution | 13.1079 | 0.901478 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.8] | 1.55786e-05 | 0 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.8] | 0.00100663 | 0 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.7] | 0.0300374 | -0.0029925 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.7] | 0.325305 | -0.0311406 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 1.26179 | -0.118577 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7606 | -1.48959 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7749 | -1.49062 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7683 | -1.49342 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | 23.1836 | -2.52376 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.6] | 53.8645 | -3.89973 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.6] | 53.8949 | -3.90385 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 53.9037 | -3.90478 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.6] | 38.5403 | -4.37488 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.6] | 38.629 | -4.38713 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 38.7353 | -4.40228 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | 47.6407 | -4.98057 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.5] | 63.9144 | -5.77339 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.5] | 63.9235 | -5.77479 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 63.9266 | -5.77488 |
| LR_decay_rtime[cache_size=0.1,treshold=0.5] | 62.2175 | -6.84646 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 59.9715 | -7.70577 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.5] | 60.1657 | -7.73943 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.5] | 60.2296 | -7.75056 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 75.78 | -8.56731 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.3] | 75.7827 | -8.56825 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.3] | 75.7945 | -8.57124 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | 78.3419 | -9.71782 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 83.6089 | -12.6307 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.3] | 83.8475 | -12.6889 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.3] | 83.9649 | -12.7181 |
| LR_decay_vtime[cache_size=0.1,treshold=0.5] | 95.9029 | -16.0751 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | 98.1156 | -16.814 |
Cache Size 0.2
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
| Offline Clock 2nd iteration | 43.2203 | 3.56227 |
| Zipf Optimal Distribution | 15.0252 | 1.67385 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.9] | 0.000145953 | 0 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.8] | 0.000315886 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.8] | 0.00298893 | -0.000523631 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 0.00680156 | -0.00104729 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.7] | 0.0124336 | -0.00196369 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.7] | 3.95124 | -0.414208 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 4.13316 | -0.435678 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.7] | 4.30283 | -0.454398 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.6] | 39.622 | -5.10402 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 39.6709 | -5.11214 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.6] | 39.7078 | -5.11803 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | 53.0372 | -6.96822 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.6] | 56.4292 | -7.39866 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 56.4676 | -7.40403 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.6] | 56.52 | -7.41083 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.5] | 59.7899 | -8.81278 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 59.7971 | -8.81409 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.5] | 59.8038 | -8.81566 |
| LR_decay_rtime[cache_size=0.2,treshold=0.5] | 65.5391 | -9.37374 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.5] | 66.851 | -9.47467 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | 66.875 | -9.47742 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.5] | 66.8963 | -9.47873 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.3] | 81.1692 | -12.5478 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 81.2538 | -12.555 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.3] | 81.3634 | -12.5619 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | 79.7775 | -12.6458 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.3] | 82.5397 | -14.5855 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 82.5787 | -14.597 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.3] | 82.6088 | -14.6065 |
| LR_decay_vtime[cache_size=0.2,treshold=0.5] | 97.8322 | -20.1983 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | 98.9816 | -20.7376 |
Cache Size 0.4
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
| Offline Clock 2nd iteration | 43.458 | 7.79849 |
| Zipf Optimal Distribution | 17.0787 | 3.33504 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.7] | 9.05942 | -1.0172 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 9.09984 | -1.02295 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.7] | 9.11483 | -1.02445 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.7] | 9.60868 | -1.08885 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.7] | 9.66265 | -1.09581 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 9.68884 | -1.09927 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.6] | 41.0488 | -5.76842 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.6] | 41.0557 | -5.7694 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 41.0759 | -5.77332 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2153 | -5.79831 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2212 | -5.79959 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2248 | -5.79999 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | 56.4422 | -8.87027 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.5] | 59.2485 | -9.67989 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.5] | 59.2623 | -9.6827 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | 59.2666 | -9.68346 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.5] | 59.6426 | -9.77468 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 59.6494 | -9.7766 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.5] | 59.6559 | -9.77845 |
| LR_decay_rtime[cache_size=0.4,treshold=0.5] | 77.4485 | -14.8992 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4157 | -16.355 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4236 | -16.3581 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4333 | -16.3617 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6099 | -16.4132 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6168 | -16.4154 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6267 | -16.4201 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | 86.2733 | -18.3273 |
| LR_decay_vtime[cache_size=0.4,treshold=0.5] | 99.0562 | -26.0089 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | 99.6094 | -26.4262 |
Cache Size All
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
| Offline Clock 2nd iteration | 43.0175 | 1.84941 |
| Zipf Optimal Distribution | 13.1121 | 0.902408 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.8] | 0.000319889 | 0 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.8] | 0.000430919 | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.8] | 9.73649e-06 | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.8] | 0.00109018 | 0 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.9] | 0.000129955 | 0 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.8] | 0.00311966 | -0.000654489 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 0.00681926 | -0.00130859 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 0.0111867 | -0.00148085 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.7] | 0.0125295 | -0.00196354 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.7] | 0.0296905 | -0.00280568 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.8] | 16.3844 | -0.00444255 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.8] | 16.3936 | -0.012834 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.8] | 16.3313 | -0.0153021 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.7] | 0.322731 | -0.0308625 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 1.26404 | -0.118793 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.7] | 3.95278 | -0.414308 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 4.13037 | -0.436007 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.7] | 4.30227 | -0.454215 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.7] | 36.3352 | -1.00631 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.7] | 36.3568 | -1.00952 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 36.3718 | -1.011 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.7] | 9.05079 | -1.01836 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 9.09161 | -1.02382 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.7] | 9.10767 | -1.02628 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.7] | 9.60011 | -1.09428 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.7] | 9.65421 | -1.10111 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 9.68025 | -1.10456 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7615 | -1.48797 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7767 | -1.4889 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7692 | -1.49171 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.6] | 48.343 | -2.08937 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.6] | 48.339 | -2.08986 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 48.3529 | -2.0911 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | 21.0563 | -2.11292 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | 23.1838 | -2.52335 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.6] | 35.484 | -2.74799 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.6] | 36.6337 | -2.8504 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 37.195 | -2.90345 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.5] | 56.4691 | -3.01974 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.5] | 56.4804 | -3.02112 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | 56.4821 | -3.02186 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.6] | 53.8731 | -3.89802 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.6] | 53.9047 | -3.9027 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 53.9124 | -3.90363 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | 42.9862 | -3.92947 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.6] | 38.5437 | -4.37484 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.6] | 38.6328 | -4.38747 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 38.741 | -4.40196 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.3] | 67.7732 | -4.57924 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.3] | 67.7856 | -4.58121 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | 67.7885 | -4.58171 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | 47.6343 | -4.98172 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.6] | 39.6175 | -5.10436 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 39.6686 | -5.11221 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.6] | 39.7041 | -5.1181 |
| LR_decay_rtime[cache_size=0.01,treshold=0.5] | 63.8992 | -5.40919 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.5] | 63.6434 | -5.60267 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | 63.656 | -5.60483 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.5] | 64.4977 | -5.70079 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.5] | 63.9207 | -5.76988 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.6] | 41.0456 | -5.7714 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.5] | 63.9312 | -5.77165 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 63.9337 | -5.77175 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.6] | 41.0527 | -5.77251 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 41.0723 | -5.77653 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2133 | -5.8015 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2187 | -5.80283 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2225 | -5.80294 |
| LR_decay_rtime[cache_size=0.1,treshold=0.5] | 62.2269 | -6.84264 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | 53.0391 | -6.966 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.6] | 56.4299 | -7.3964 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 56.4672 | -7.40246 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.6] | 56.5185 | -7.41032 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | 83.1548 | -7.43189 |
| LR_decay_vtime[cache_size=0.01,treshold=0.5] | 78.9232 | -7.48519 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 59.9793 | -7.70458 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.5] | 60.1682 | -7.73918 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.5] | 60.2324 | -7.75181 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 85.2447 | -8.40943 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.3] | 86.0474 | -8.52986 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 75.7855 | -8.56651 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.3] | 75.7877 | -8.56745 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.3] | 75.8 | -8.57072 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.3] | 86.6227 | -8.62364 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.5] | 59.7881 | -8.81204 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 59.7959 | -8.81335 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.5] | 59.803 | -8.81531 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | 56.4435 | -8.87001 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | 88.7316 | -8.89709 |
| LR_decay_rtime[cache_size=0.2,treshold=0.5] | 65.5437 | -9.37553 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.5] | 66.8496 | -9.47765 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | 66.8721 | -9.48085 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.5] | 66.895 | -9.48223 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.5] | 59.2557 | -9.68164 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.5] | 59.2698 | -9.68432 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | 59.2741 | -9.68488 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | 78.341 | -9.71514 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.5] | 59.6394 | -9.77829 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 59.6452 | -9.78019 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.5] | 59.6513 | -9.78152 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.3] | 81.1711 | -12.5459 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 81.2525 | -12.5537 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.3] | 81.3625 | -12.5608 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 83.6057 | -12.6318 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | 79.7776 | -12.6465 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.3] | 83.8441 | -12.6879 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.3] | 83.9617 | -12.7174 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.3] | 82.5381 | -14.5869 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 82.5759 | -14.598 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.3] | 82.6057 | -14.6078 |
| LR_decay_rtime[cache_size=0.4,treshold=0.5] | 77.4519 | -14.9085 |
| LR_decay_vtime[cache_size=0.1,treshold=0.5] | 95.9036 | -16.0733 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4101 | -16.3652 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4182 | -16.3686 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4278 | -16.3719 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6074 | -16.4232 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6126 | -16.4254 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6239 | -16.4288 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | 98.1159 | -16.8116 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | 86.2719 | -18.3383 |
| LR_decay_vtime[cache_size=0.2,treshold=0.5] | 97.8322 | -20.197 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | 98.9811 | -20.7363 |
| LR_decay_vtime[cache_size=0.4,treshold=0.5] | 99.0554 | -26.0035 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | 99.6089 | -26.4192 |
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_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.8] | 0.000430919 | 0 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 0.0111867 | -0.00148085 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.8] | 16.3844 | -0.00444255 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.8] | 16.3936 | -0.012834 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.8] | 16.3313 | -0.0153021 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.7] | 36.3352 | -1.00631 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.7] | 36.3568 | -1.00952 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 36.3718 | -1.011 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.6] | 48.343 | -2.08937 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.6] | 48.339 | -2.08986 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 48.3529 | -2.0911 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | 21.0563 | -2.11292 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.6] | 35.484 | -2.74799 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.6] | 36.6337 | -2.8504 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 37.195 | -2.90345 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.5] | 56.4691 | -3.01974 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.5] | 56.4804 | -3.02112 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | 56.4821 | -3.02186 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | 42.9862 | -3.92947 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.3] | 67.7732 | -4.57924 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.3] | 67.7856 | -4.58121 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | 67.7885 | -4.58171 |
| LR_decay_rtime[cache_size=0.01,treshold=0.5] | 63.8992 | -5.40919 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.5] | 63.6434 | -5.60267 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | 63.656 | -5.60483 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.5] | 64.4977 | -5.70079 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | 83.1548 | -7.43189 |
| LR_decay_vtime[cache_size=0.01,treshold=0.5] | 78.9232 | -7.48519 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 85.2447 | -8.40943 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.3] | 86.0474 | -8.52986 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.3] | 86.6227 | -8.62364 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | 88.7316 | -8.89709 |
Cache Size 0.1
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
| Offline Clock 2nd iteration | 43.0175 | 1.84941 |
| Zipf Optimal Distribution | 13.1121 | 0.902408 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.8] | 9.73649e-06 | 0 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.8] | 0.00109018 | 0 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.7] | 0.0296905 | -0.00280568 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.7] | 0.322731 | -0.0308625 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 1.26404 | -0.118793 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7615 | -1.48797 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7767 | -1.4889 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7692 | -1.49171 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | 23.1838 | -2.52335 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.6] | 53.8731 | -3.89802 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.6] | 53.9047 | -3.9027 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 53.9124 | -3.90363 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.6] | 38.5437 | -4.37484 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.6] | 38.6328 | -4.38747 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 38.741 | -4.40196 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | 47.6343 | -4.98172 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.5] | 63.9207 | -5.76988 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.5] | 63.9312 | -5.77165 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 63.9337 | -5.77175 |
| LR_decay_rtime[cache_size=0.1,treshold=0.5] | 62.2269 | -6.84264 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 59.9793 | -7.70458 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.5] | 60.1682 | -7.73918 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.5] | 60.2324 | -7.75181 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 75.7855 | -8.56651 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.3] | 75.7877 | -8.56745 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.3] | 75.8 | -8.57072 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | 78.341 | -9.71514 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 83.6057 | -12.6318 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.3] | 83.8441 | -12.6879 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.3] | 83.9617 | -12.7174 |
| LR_decay_vtime[cache_size=0.1,treshold=0.5] | 95.9036 | -16.0733 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | 98.1159 | -16.8116 |
Cache Size 0.2
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
| Offline Clock 2nd iteration | 43.2233 | 3.56334 |
| Zipf Optimal Distribution | 15.0351 | 1.67163 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.9] | 0.000129955 | 0 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.8] | 0.000319889 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.8] | 0.00311966 | -0.000654489 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 0.00681926 | -0.00130859 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.7] | 0.0125295 | -0.00196354 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.7] | 3.95278 | -0.414308 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 4.13037 | -0.436007 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.7] | 4.30227 | -0.454215 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.6] | 39.6175 | -5.10436 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 39.6686 | -5.11221 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.6] | 39.7041 | -5.1181 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | 53.0391 | -6.966 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.6] | 56.4299 | -7.3964 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 56.4672 | -7.40246 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.6] | 56.5185 | -7.41032 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.5] | 59.7881 | -8.81204 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 59.7959 | -8.81335 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.5] | 59.803 | -8.81531 |
| LR_decay_rtime[cache_size=0.2,treshold=0.5] | 65.5437 | -9.37553 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.5] | 66.8496 | -9.47765 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | 66.8721 | -9.48085 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.5] | 66.895 | -9.48223 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.3] | 81.1711 | -12.5459 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 81.2525 | -12.5537 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.3] | 81.3625 | -12.5608 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | 79.7776 | -12.6465 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.3] | 82.5381 | -14.5869 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 82.5759 | -14.598 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.3] | 82.6057 | -14.6078 |
| LR_decay_vtime[cache_size=0.2,treshold=0.5] | 97.8322 | -20.197 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | 98.9811 | -20.7363 |
Cache Size 0.4
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
| Offline Clock 2nd iteration | 43.46 | 7.8007 |
| Zipf Optimal Distribution | 17.0793 | 3.33616 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.7] | 9.05079 | -1.01836 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 9.09161 | -1.02382 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.7] | 9.10767 | -1.02628 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.7] | 9.60011 | -1.09428 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.7] | 9.65421 | -1.10111 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 9.68025 | -1.10456 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.6] | 41.0456 | -5.7714 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.6] | 41.0527 | -5.77251 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 41.0723 | -5.77653 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2133 | -5.8015 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2187 | -5.80283 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2225 | -5.80294 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | 56.4435 | -8.87001 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.5] | 59.2557 | -9.68164 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.5] | 59.2698 | -9.68432 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | 59.2741 | -9.68488 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.5] | 59.6394 | -9.77829 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 59.6452 | -9.78019 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.5] | 59.6513 | -9.78152 |
| LR_decay_rtime[cache_size=0.4,treshold=0.5] | 77.4519 | -14.9085 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4101 | -16.3652 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4182 | -16.3686 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4278 | -16.3719 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6074 | -16.4232 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6126 | -16.4254 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6239 | -16.4288 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | 86.2719 | -18.3383 |
| LR_decay_vtime[cache_size=0.4,treshold=0.5] | 99.0554 | -26.0035 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | 99.6089 | -26.4192 |
Model Classification Report
LR_7_decay_rtime
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: 0.7257623703776074
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: 0.7021582149141096
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 0.87 0.69 0.77 28055468
1 0.68 0.87 0.76 21729815
accuracy 0.77 49785283
macro avg 0.78 0.78 0.77 49785283
weighted avg 0.79 0.77 0.77 49785283
Accuracy: 0.7663399844488179
precision recall f1-score support
0 0.87 0.69 0.77 28055468
1 0.68 0.87 0.76 21729815
accuracy 0.77 49785283
macro avg 0.78 0.78 0.77 49785283
weighted avg 0.79 0.77 0.77 49785283
Accuracy: 0.7663399643625607
0-1%
precision recall f1-score support
0 0.87 0.69 0.77 27764588
1 0.63 0.83 0.72 17098553
accuracy 0.75 44863141
macro avg 0.75 0.76 0.74 44863141
weighted avg 0.78 0.75 0.75 44863141
Accuracy: 0.7471877860714211
precision recall f1-score support
0 0.87 0.69 0.77 27764588
1 0.63 0.83 0.72 17098553
accuracy 0.75 44863141
macro avg 0.75 0.76 0.74 44863141
weighted avg 0.78 0.75 0.75 44863141
Accuracy: 0.7471877637814079
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
precision recall f1-score support
0 0.87 0.69 0.77 28052152
1 0.68 0.87 0.76 21263340
accuracy 0.76 49315492
macro avg 0.77 0.78 0.76 49315492
weighted avg 0.79 0.76 0.76 49315492
Accuracy: 0.7641813246028246
10-20%
precision recall f1-score support
0 0.87 0.69 0.77 28054607
1 0.68 0.87 0.76 21520956
accuracy 0.77 49575563
macro avg 0.78 0.78 0.77 49575563
weighted avg 0.79 0.77 0.77 49575563
Accuracy: 0.765368897575606
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 0.87 0.69 0.77 28055266
1 0.68 0.87 0.76 21651524
accuracy 0.77 49706790
macro avg 0.78 0.78 0.77 49706790
weighted avg 0.79 0.77 0.77 49706790
Accuracy: 0.7659750710114251
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 0.87 0.69 0.77 28055435
1 0.68 0.87 0.76 21716758
accuracy 0.77 49772193
macro avg 0.78 0.78 0.77 49772193
weighted avg 0.79 0.77 0.77 49772193
Accuracy: 0.7662791952928415
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 0.83 0.76 0.79 28055468
1 0.72 0.80 0.76 21729815
accuracy 0.78 49785283
macro avg 0.77 0.78 0.78 49785283
weighted avg 0.78 0.78 0.78 49785283
Accuracy: 0.7768952523580112
0-1%
precision recall f1-score support
0 0.83 0.77 0.80 27764588
1 0.66 0.74 0.70 17098553
accuracy 0.76 44863141
macro avg 0.75 0.76 0.75 44863141
weighted avg 0.77 0.76 0.76 44863141
Accuracy: 0.7589012993985419
1-10%
precision recall f1-score support
0 0.17 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.55 0.50 0.48 4452351
weighted avg 0.89 0.94 0.90 4452351
Accuracy: 0.9354112018571761
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
Treshold: 0.7
All
precision recall f1-score support
0 0.76 0.85 0.81 28055468
1 0.78 0.66 0.71 21729815
accuracy 0.77 49785283
macro avg 0.77 0.76 0.76 49785283
weighted avg 0.77 0.77 0.77 49785283
Accuracy: 0.7690147307187146
0-1%
precision recall f1-score support
0 0.76 0.86 0.81 27764588
1 0.72 0.57 0.63 17098553
accuracy 0.75 44863141
macro avg 0.74 0.72 0.72 44863141
weighted avg 0.75 0.75 0.74 44863141
Accuracy: 0.7502416070243499
1-10%
precision recall f1-score support
0 0.11 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.93 4452351
macro avg 0.52 0.50 0.48 4452351
weighted avg 0.88 0.93 0.90 4452351
Accuracy: 0.9345509821665003
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905487347685824
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
Treshold: 0.8
All
precision recall f1-score support
0 0.66 0.96 0.78 28055468
1 0.87 0.35 0.50 21729815
accuracy 0.69 49785283
macro avg 0.76 0.66 0.64 49785283
weighted avg 0.75 0.69 0.66 49785283
Accuracy: 0.6938841544799494
0-1%
precision recall f1-score support
0 0.67 0.97 0.79 27764588
1 0.79 0.21 0.33 17098553
accuracy 0.68 44863141
macro avg 0.73 0.59 0.56 44863141
weighted avg 0.71 0.68 0.61 44863141
Accuracy: 0.6780533266718887
1-10%
precision recall f1-score support
0 0.08 0.16 0.11 287564
1 0.94 0.87 0.90 4164787
accuracy 0.83 4452351
macro avg 0.51 0.52 0.51 4452351
weighted avg 0.88 0.83 0.85 4452351
Accuracy: 0.8276360062358067
10-20%
precision recall f1-score support
0 0.01 0.07 0.02 2455
1 0.99 0.94 0.97 257616
accuracy 0.93 260071
macro avg 0.50 0.51 0.49 260071
weighted avg 0.98 0.93 0.96 260071
Accuracy: 0.9337411706803143
20-40%
precision recall f1-score support
0 0.01 0.06 0.01 659
1 1.00 0.95 0.97 130568
accuracy 0.94 131227
macro avg 0.50 0.51 0.49 131227
weighted avg 0.99 0.94 0.97 131227
Accuracy: 0.9424661083466055
40-80%
precision recall f1-score support
0 0.00 0.09 0.01 169
1 1.00 0.95 0.97 65234
accuracy 0.94 65403
macro avg 0.50 0.52 0.49 65403
weighted avg 0.99 0.94 0.97 65403
Accuracy: 0.9445744079017782
80-90%
precision recall f1-score support
0 0.00 0.07 0.01 15
1 1.00 0.95 0.97 7371
accuracy 0.95 7386
macro avg 0.50 0.51 0.49 7386
weighted avg 1.00 0.95 0.97 7386
Accuracy: 0.9471974004874086
90-100%
precision recall f1-score support
0 0.00 0.06 0.01 18
1 1.00 0.95 0.97 5686
accuracy 0.95 5704
macro avg 0.50 0.50 0.49 5704
weighted avg 0.99 0.95 0.97 5704
Accuracy: 0.9468793828892006
Treshold: 0.9
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.93 0.49 0.64 26119367
1 0.61 0.95 0.74 21615229
accuracy 0.70 47734596
macro avg 0.77 0.72 0.69 47734596
weighted avg 0.78 0.70 0.69 47734596
Accuracy: 0.7020437336476043
0-1%
precision recall f1-score support
0 0.98 0.88 0.92 12053010
1 0.15 0.51 0.23 508421
accuracy 0.86 12561431
macro avg 0.56 0.69 0.58 12561431
weighted avg 0.94 0.86 0.90 12561431
Accuracy: 0.8613169948551244
1-10%
precision recall f1-score support
0 0.76 0.17 0.28 13368467
1 0.55 0.95 0.70 14466820
accuracy 0.58 27835287
macro avg 0.66 0.56 0.49 27835287
weighted avg 0.65 0.58 0.50 27835287
Accuracy: 0.5768599404058596
10-20%
precision recall f1-score support
0 0.19 0.00 0.00 503365
1 0.87 1.00 0.93 3387274
accuracy 0.87 3890639
macro avg 0.53 0.50 0.47 3890639
weighted avg 0.78 0.87 0.81 3890639
Accuracy: 0.8696427502011881
20-40%
precision recall f1-score support
0 0.09 0.00 0.00 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.51 0.50 0.48 2117913
weighted avg 0.87 0.93 0.90 2117913
Accuracy: 0.9300230934887316
40-80%
precision recall f1-score support
0 0.04 0.00 0.00 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.50 0.50 0.49 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.96225952735115
80-90%
precision recall f1-score support
0 0.25 0.00 0.00 3093
1 0.98 1.00 0.99 120943
accuracy 0.98 124036
macro avg 0.61 0.50 0.49 124036
weighted avg 0.96 0.98 0.96 124036
Accuracy: 0.9750475668354349
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 0.96 99395
Accuracy: 0.9765581769706726
Treshold: 0.5
All
precision recall f1-score support
0 0.85 0.64 0.73 26119367
1 0.66 0.87 0.75 21615229
accuracy 0.74 47734596
macro avg 0.76 0.75 0.74 47734596
weighted avg 0.77 0.74 0.74 47734596
Accuracy: 0.7410423668401844
precision recall f1-score support
0 0.85 0.64 0.73 26119367
1 0.66 0.87 0.75 21615229
accuracy 0.74 47734596
macro avg 0.76 0.75 0.74 47734596
weighted avg 0.77 0.74 0.74 47734596
Accuracy: 0.7410423668401844
0-1%
precision recall f1-score support
0 0.97 0.95 0.96 12053010
1 0.19 0.26 0.22 508421
accuracy 0.93 12561431
macro avg 0.58 0.61 0.59 12561431
weighted avg 0.94 0.93 0.93 12561431
Accuracy: 0.9262818065871635
precision recall f1-score support
0 0.97 0.95 0.96 12053010
1 0.19 0.26 0.22 508421
accuracy 0.93 12561431
macro avg 0.58 0.61 0.59 12561431
weighted avg 0.94 0.93 0.93 12561431
Accuracy: 0.9262818065871635
1-10%
precision recall f1-score support
0 0.86 0.65 0.74 25421477
1 0.58 0.82 0.68 14975241
accuracy 0.71 40396718
macro avg 0.72 0.73 0.71 40396718
weighted avg 0.76 0.71 0.72 40396718
Accuracy: 0.7132848019980237
precision recall f1-score support
0 0.68 0.38 0.49 13368467
1 0.59 0.84 0.69 14466820
accuracy 0.62 27835287
macro avg 0.64 0.61 0.59 27835287
weighted avg 0.64 0.62 0.60 27835287
Accuracy: 0.6171641054033321
10-20%
precision recall f1-score support
0 0.85 0.64 0.73 25924842
1 0.63 0.85 0.72 18362515
accuracy 0.73 44287357
macro avg 0.74 0.74 0.73 44287357
weighted avg 0.76 0.73 0.73 44287357
Accuracy: 0.7257807007991016
precision recall f1-score support
0 0.17 0.03 0.05 503365
1 0.87 0.98 0.92 3387274
accuracy 0.86 3890639
macro avg 0.52 0.50 0.49 3890639
weighted avg 0.78 0.86 0.81 3890639
Accuracy: 0.855526303005753
20-40%
precision recall f1-score support
0 0.09 0.01 0.02 147488
1 0.93 0.99 0.96 1970425
accuracy 0.92 2117913
macro avg 0.51 0.50 0.49 2117913
weighted avg 0.87 0.92 0.89 2117913
Accuracy: 0.9222607349782546
40-80%
precision recall f1-score support
0 0.85 0.64 0.73 26113946
1 0.66 0.87 0.75 21397219
accuracy 0.74 47511165
macro avg 0.76 0.75 0.74 47511165
weighted avg 0.77 0.74 0.74 47511165
Accuracy: 0.7399509146955248
precision recall f1-score support
0 0.05 0.01 0.01 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.51 0.50 0.50 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9582763282228421
80-90%
precision recall f1-score support
0 0.03 0.00 0.01 3093
1 0.98 1.00 0.99 120943
accuracy 0.97 124036
macro avg 0.50 0.50 0.50 124036
weighted avg 0.95 0.97 0.96 124036
Accuracy: 0.9721774323583475
90-100%
precision recall f1-score support
0 0.02 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.97 99395
macro avg 0.50 0.50 0.50 99395
weighted avg 0.95 0.97 0.96 99395
Accuracy: 0.974324664218522
Treshold: 0.6
All
precision recall f1-score support
0 0.80 0.72 0.76 26119367
1 0.70 0.78 0.74 21615229
accuracy 0.75 47734596
macro avg 0.75 0.75 0.75 47734596
weighted avg 0.75 0.75 0.75 47734596
Accuracy: 0.7475041791492275
0-1%
precision recall f1-score support
0 0.96 0.98 0.97 12053010
1 0.22 0.15 0.18 508421
accuracy 0.94 12561431
macro avg 0.59 0.56 0.57 12561431
weighted avg 0.93 0.94 0.94 12561431
Accuracy: 0.9442320703747845
1-10%
precision recall f1-score support
0 0.63 0.52 0.57 13368467
1 0.62 0.72 0.67 14466820
accuracy 0.63 27835287
macro avg 0.63 0.62 0.62 27835287
weighted avg 0.63 0.63 0.62 27835287
Accuracy: 0.6252407959723929
10-20%
precision recall f1-score support
0 0.16 0.07 0.10 503365
1 0.87 0.94 0.91 3387274
accuracy 0.83 3890639
macro avg 0.51 0.51 0.50 3890639
weighted avg 0.78 0.83 0.80 3890639
Accuracy: 0.8300199530205706
20-40%
precision recall f1-score support
0 0.09 0.03 0.05 147488
1 0.93 0.97 0.95 1970425
accuracy 0.91 2117913
macro avg 0.51 0.50 0.50 2117913
weighted avg 0.87 0.91 0.89 2117913
Accuracy: 0.9069602953473538
40-80%
precision recall f1-score support
0 0.05 0.02 0.03 41616
1 0.96 0.99 0.97 1064279
accuracy 0.95 1105895
macro avg 0.51 0.50 0.50 1105895
weighted avg 0.93 0.95 0.94 1105895
Accuracy: 0.9500739220269555
80-90%
precision recall f1-score support
0 0.03 0.01 0.02 3093
1 0.98 0.99 0.98 120943
accuracy 0.97 124036
macro avg 0.50 0.50 0.50 124036
weighted avg 0.95 0.97 0.96 124036
Accuracy: 0.9668967074075269
90-100%
precision recall f1-score support
0 0.03 0.01 0.01 2328
1 0.98 0.99 0.98 97067
accuracy 0.97 99395
macro avg 0.50 0.50 0.50 99395
weighted avg 0.95 0.97 0.96 99395
Accuracy: 0.9695055083253685
Treshold: 0.7
All
precision recall f1-score support
0 0.69 0.84 0.76 26119367
1 0.74 0.54 0.62 21615229
accuracy 0.70 47734596
macro avg 0.71 0.69 0.69 47734596
weighted avg 0.71 0.70 0.70 47734596
Accuracy: 0.7039990869515267
0-1%
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.25 0.06 0.09 508421
accuracy 0.95 12561431
macro avg 0.60 0.52 0.53 12561431
weighted avg 0.93 0.95 0.94 12561431
Accuracy: 0.9548778319922309
1-10%
precision recall f1-score support
0 0.56 0.73 0.63 13368467
1 0.65 0.48 0.55 14466820
accuracy 0.60 27835287
macro avg 0.61 0.60 0.59 27835287
weighted avg 0.61 0.60 0.59 27835287
Accuracy: 0.5969808394646694
10-20%
precision recall f1-score support
0 0.15 0.37 0.21 503365
1 0.88 0.69 0.78 3387274
accuracy 0.65 3890639
macro avg 0.52 0.53 0.50 3890639
weighted avg 0.79 0.65 0.70 3890639
Accuracy: 0.6523319177132599
20-40%
precision recall f1-score support
0 0.08 0.33 0.13 147488
1 0.94 0.73 0.82 1970425
accuracy 0.70 2117913
macro avg 0.51 0.53 0.48 2117913
weighted avg 0.88 0.70 0.77 2117913
Accuracy: 0.7008588171468799
40-80%
precision recall f1-score support
0 0.05 0.31 0.08 41616
1 0.97 0.74 0.84 1064279
accuracy 0.73 1105895
macro avg 0.51 0.53 0.46 1105895
weighted avg 0.93 0.73 0.81 1105895
Accuracy: 0.7286134759629078
80-90%
precision recall f1-score support
0 0.03 0.31 0.06 3093
1 0.98 0.75 0.85 120943
accuracy 0.74 124036
macro avg 0.50 0.53 0.45 124036
weighted avg 0.95 0.74 0.83 124036
Accuracy: 0.7386000838466251
90-100%
precision recall f1-score support
0 0.03 0.29 0.05 2328
1 0.98 0.75 0.85 97067
accuracy 0.74 99395
macro avg 0.50 0.52 0.45 99395
weighted avg 0.96 0.74 0.83 99395
Accuracy: 0.7406609990442176
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.82 0.01 0.03 21615229
accuracy 0.55 47734596
macro avg 0.68 0.51 0.37 47734596
weighted avg 0.67 0.55 0.40 47734596
Accuracy: 0.552428033537772
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.50 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.73 0.50 0.49 12561431
weighted avg 0.94 0.96 0.94 12561431
Accuracy: 0.9595251528269351
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.72 0.01 0.02 14466820
accuracy 0.48 27835287
macro avg 0.60 0.50 0.33 27835287
weighted avg 0.60 0.48 0.32 27835287
Accuracy: 0.4832352905145185
10-20%
precision recall f1-score support
0 0.13 0.98 0.23 503365
1 0.88 0.02 0.05 3387274
accuracy 0.15 3890639
macro avg 0.51 0.50 0.14 3890639
weighted avg 0.79 0.15 0.07 3890639
Accuracy: 0.14792557212324248
20-40%
precision recall f1-score support
0 0.07 0.97 0.13 147488
1 0.94 0.03 0.06 1970425
accuracy 0.10 2117913
macro avg 0.50 0.50 0.09 2117913
weighted avg 0.88 0.10 0.06 2117913
Accuracy: 0.09554736195490561
40-80%
precision recall f1-score support
0 0.04 0.97 0.07 41616
1 0.97 0.03 0.06 1064279
accuracy 0.07 1105895
macro avg 0.50 0.50 0.07 1105895
weighted avg 0.93 0.07 0.06 1105895
Accuracy: 0.06813757183096045
80-90%
precision recall f1-score support
0 0.03 0.97 0.05 3093
1 0.98 0.03 0.07 120943
accuracy 0.06 124036
macro avg 0.50 0.50 0.06 124036
weighted avg 0.96 0.06 0.07 124036
Accuracy: 0.05759618175368442
90-100%
precision recall f1-score support
0 0.02 0.97 0.05 2328
1 0.98 0.03 0.07 97067
accuracy 0.06 99395
macro avg 0.50 0.50 0.06 99395
weighted avg 0.96 0.06 0.06 99395
Accuracy: 0.055777453594245185
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.91 0.37 0.53 24893266
1 0.56 0.96 0.70 20563095
accuracy 0.64 45456361
macro avg 0.74 0.67 0.62 45456361
weighted avg 0.75 0.64 0.61 45456361
Accuracy: 0.6376305397609808
0-1%
precision recall f1-score support
0 1.00 0.92 0.96 4873589
1 0.01 0.77 0.02 3872
accuracy 0.92 4877461
macro avg 0.50 0.84 0.49 4877461
weighted avg 1.00 0.92 0.96 4877461
Accuracy: 0.9202958260455594
1-10%
precision recall f1-score support
0 0.89 0.28 0.42 16949103
1 0.38 0.93 0.54 8016772
accuracy 0.49 24965875
macro avg 0.64 0.60 0.48 24965875
weighted avg 0.73 0.49 0.46 24965875
Accuracy: 0.4858217867388986
10-20%
precision recall f1-score support
0 0.41 0.06 0.11 2057494
1 0.73 0.97 0.83 5461156
accuracy 0.72 7518650
macro avg 0.57 0.51 0.47 7518650
weighted avg 0.64 0.72 0.63 7518650
Accuracy: 0.7185424245043991
20-40%
precision recall f1-score support
0 0.24 0.04 0.07 744974
1 0.85 0.98 0.91 4060539
accuracy 0.83 4805513
macro avg 0.54 0.51 0.49 4805513
weighted avg 0.75 0.83 0.78 4805513
Accuracy: 0.8308603056531113
40-80%
precision recall f1-score support
0 0.13 0.03 0.05 235909
1 0.91 0.98 0.95 2483775
accuracy 0.90 2719684
macro avg 0.52 0.51 0.50 2719684
weighted avg 0.85 0.90 0.87 2719684
Accuracy: 0.8982889188596911
80-90%
precision recall f1-score support
0 0.09 0.03 0.04 18577
1 0.94 0.98 0.96 296772
accuracy 0.93 315349
macro avg 0.52 0.51 0.50 315349
weighted avg 0.89 0.93 0.91 315349
Accuracy: 0.9262023979781131
90-100%
precision recall f1-score support
0 0.07 0.02 0.04 13620
1 0.95 0.98 0.96 240209
accuracy 0.93 253829
macro avg 0.51 0.50 0.50 253829
weighted avg 0.90 0.93 0.91 253829
Accuracy: 0.9312292921612582
Treshold: 0.5
All
precision recall f1-score support
0 0.81 0.54 0.65 24893266
1 0.60 0.84 0.70 20563095
accuracy 0.68 45456361
macro avg 0.71 0.69 0.68 45456361
weighted avg 0.72 0.68 0.68 45456361
Accuracy: 0.6798656188074536
precision recall f1-score support
0 0.81 0.54 0.65 24893266
1 0.60 0.84 0.70 20563095
accuracy 0.68 45456361
macro avg 0.71 0.69 0.68 45456361
weighted avg 0.72 0.68 0.68 45456361
Accuracy: 0.6798656188074536
0-1%
precision recall f1-score support
0 1.00 0.97 0.98 4873589
1 0.02 0.65 0.03 3872
accuracy 0.97 4877461
macro avg 0.51 0.81 0.51 4877461
weighted avg 1.00 0.97 0.98 4877461
Accuracy: 0.9682488491450777
precision recall f1-score support
0 1.00 0.97 0.98 4873589
1 0.02 0.65 0.03 3872
accuracy 0.97 4877461
macro avg 0.51 0.81 0.51 4877461
weighted avg 1.00 0.97 0.98 4877461
Accuracy: 0.9682488491450777
1-10%
precision recall f1-score support
0 0.85 0.48 0.61 16949103
1 0.43 0.82 0.56 8016772
accuracy 0.59 24965875
macro avg 0.64 0.65 0.59 24965875
weighted avg 0.71 0.59 0.60 24965875
Accuracy: 0.5884618504258312
precision recall f1-score support
0 0.90 0.59 0.71 21822692
1 0.42 0.82 0.56 8020644
accuracy 0.65 29843336
macro avg 0.66 0.70 0.63 29843336
weighted avg 0.77 0.65 0.67 29843336
Accuracy: 0.6505325342984444
10-20%
precision recall f1-score support
0 0.86 0.56 0.68 23880186
1 0.52 0.84 0.64 13481800
accuracy 0.66 37361986
macro avg 0.69 0.70 0.66 37361986
weighted avg 0.73 0.66 0.66 37361986
Accuracy: 0.6582472891028865
precision recall f1-score support
0 0.39 0.25 0.30 2057494
1 0.75 0.86 0.80 5461156
accuracy 0.69 7518650
macro avg 0.57 0.55 0.55 7518650
weighted avg 0.65 0.69 0.66 7518650
Accuracy: 0.688868879386592
20-40%
precision recall f1-score support
0 0.83 0.55 0.66 24625160
1 0.57 0.84 0.68 17542339
accuracy 0.67 42167499
macro avg 0.70 0.69 0.67 42167499
weighted avg 0.72 0.67 0.67 42167499
Accuracy: 0.6699577558536256
precision recall f1-score support
0 0.23 0.22 0.23 744974
1 0.86 0.86 0.86 4060539
accuracy 0.76 4805513
macro avg 0.54 0.54 0.54 4805513
weighted avg 0.76 0.76 0.76 4805513
Accuracy: 0.7610044962941521
40-80%
precision recall f1-score support
0 0.13 0.22 0.16 235909
1 0.92 0.86 0.89 2483775
accuracy 0.80 2719684
macro avg 0.52 0.54 0.53 2719684
weighted avg 0.85 0.80 0.83 2719684
Accuracy: 0.8037933818781888
precision recall f1-score support
0 0.81 0.54 0.65 24861069
1 0.60 0.84 0.70 20026114
accuracy 0.68 44887183
macro avg 0.71 0.69 0.68 44887183
weighted avg 0.72 0.68 0.67 44887183
Accuracy: 0.6780667657402337
80-90%
precision recall f1-score support
0 0.09 0.22 0.12 18577
1 0.95 0.86 0.90 296772
accuracy 0.82 315349
macro avg 0.52 0.54 0.51 315349
weighted avg 0.90 0.82 0.85 315349
Accuracy: 0.8199169808688151
90-100%
precision recall f1-score support
0 0.08 0.22 0.12 13620
1 0.95 0.86 0.90 240209
accuracy 0.82 253829
macro avg 0.52 0.54 0.51 253829
weighted avg 0.90 0.82 0.86 253829
Accuracy: 0.8239838631519645
Treshold: 0.6
All
precision recall f1-score support
0 0.77 0.65 0.70 24893266
1 0.64 0.76 0.70 20563095
accuracy 0.70 45456361
macro avg 0.70 0.70 0.70 45456361
weighted avg 0.71 0.70 0.70 45456361
Accuracy: 0.6992088522000254
0-1%
precision recall f1-score support
0 1.00 0.99 0.99 4873589
1 0.03 0.54 0.06 3872
accuracy 0.99 4877461
macro avg 0.51 0.76 0.53 4877461
weighted avg 1.00 0.99 0.99 4877461
Accuracy: 0.985867237072731
1-10%
precision recall f1-score support
0 0.83 0.60 0.70 16949103
1 0.47 0.73 0.57 8016772
accuracy 0.65 24965875
macro avg 0.65 0.67 0.63 24965875
weighted avg 0.71 0.65 0.66 24965875
Accuracy: 0.6460417269572967
10-20%
precision recall f1-score support
0 0.38 0.37 0.38 2057494
1 0.77 0.78 0.77 5461156
accuracy 0.66 7518650
macro avg 0.57 0.57 0.57 7518650
weighted avg 0.66 0.66 0.66 7518650
Accuracy: 0.6638534843356187
20-40%
precision recall f1-score support
0 0.22 0.35 0.27 744974
1 0.87 0.78 0.82 4060539
accuracy 0.71 4805513
macro avg 0.55 0.56 0.55 4805513
weighted avg 0.77 0.71 0.74 4805513
Accuracy: 0.7115223702443423
40-80%
precision recall f1-score support
0 0.13 0.34 0.19 235909
1 0.93 0.78 0.84 2483775
accuracy 0.74 2719684
macro avg 0.53 0.56 0.51 2719684
weighted avg 0.86 0.74 0.79 2719684
Accuracy: 0.738614486094708
80-90%
precision recall f1-score support
0 0.09 0.34 0.14 18577
1 0.95 0.77 0.85 296772
accuracy 0.75 315349
macro avg 0.52 0.56 0.49 315349
weighted avg 0.90 0.75 0.81 315349
Accuracy: 0.7480061772829468
90-100%
precision recall f1-score support
0 0.08 0.34 0.13 13620
1 0.95 0.77 0.86 240209
accuracy 0.75 253829
macro avg 0.52 0.56 0.49 253829
weighted avg 0.91 0.75 0.82 253829
Accuracy: 0.751572909320842
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.12 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.33 0.50 0.35 45456361
weighted avg 0.35 0.55 0.39 45456361
Accuracy: 0.547599773769836
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992042991220227
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.11 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.39 0.50 0.40 24965875
weighted avg 0.50 0.68 0.55 24965875
Accuracy: 0.6788619265297131
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.17 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.22 0.50 0.21 7518650
weighted avg 0.20 0.27 0.12 7518650
Accuracy: 0.2736177372267628
20-40%
precision recall f1-score support
0 0.15 1.00 0.27 744974
1 0.12 0.00 0.00 4060539
accuracy 0.15 4805513
macro avg 0.14 0.50 0.13 4805513
weighted avg 0.13 0.15 0.04 4805513
Accuracy: 0.15498303719082646
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.05 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.07 0.50 0.08 2719684
weighted avg 0.06 0.09 0.01 2719684
Accuracy: 0.08668433538602278
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.058861769024160536
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.11 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.08 0.50 0.05 253829
weighted avg 0.11 0.05 0.01 253829
Accuracy: 0.05360301620382226
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.03 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.29 0.50 0.35 45456361
weighted avg 0.31 0.55 0.39 45456361
Accuracy: 0.5476286366169962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.03 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.35 0.50 0.40 24965875
weighted avg 0.47 0.68 0.55 24965875
Accuracy: 0.6788895642552084
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.07 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.17 0.50 0.21 7518650
weighted avg 0.13 0.27 0.12 7518650
Accuracy: 0.2736504558664122
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502299130186517
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08673875347282993
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.058906164281478615
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365423178596614
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.85 0.36 0.51 22531902
1 0.52 0.92 0.66 16938696
accuracy 0.60 39470598
macro avg 0.69 0.64 0.59 39470598
weighted avg 0.71 0.60 0.58 39470598
Accuracy: 0.6008507142455759
0-1%
precision recall f1-score support
0 1.00 0.97 0.98 1549999
1 0.00 0.00 0.00 0
accuracy 0.97 1549999
macro avg 0.50 0.48 0.49 1549999
weighted avg 1.00 0.97 0.98 1549999
Accuracy: 0.9673580434568022
1-10%
precision recall f1-score support
0 0.97 0.42 0.59 11439888
1 0.15 0.90 0.25 1271288
accuracy 0.47 12711176
macro avg 0.56 0.66 0.42 12711176
weighted avg 0.89 0.47 0.56 12711176
Accuracy: 0.47111714919217546
10-20%
precision recall f1-score support
0 0.76 0.21 0.33 5044441
1 0.47 0.91 0.62 3812372
accuracy 0.51 8856813
macro avg 0.62 0.56 0.47 8856813
weighted avg 0.64 0.51 0.45 8856813
Accuracy: 0.5128106464481073
20-40%
precision recall f1-score support
0 0.54 0.18 0.27 2995598
1 0.68 0.92 0.78 5583215
accuracy 0.66 8578813
macro avg 0.61 0.55 0.52 8578813
weighted avg 0.63 0.66 0.60 8578813
Accuracy: 0.6608438719902159
40-80%
precision recall f1-score support
0 0.35 0.17 0.23 1295061
1 0.81 0.92 0.86 5001564
accuracy 0.76 6296625
macro avg 0.58 0.54 0.54 6296625
weighted avg 0.72 0.76 0.73 6296625
Accuracy: 0.7649380422051496
80-90%
precision recall f1-score support
0 0.26 0.17 0.20 117971
1 0.87 0.92 0.89 692761
accuracy 0.81 810732
macro avg 0.56 0.54 0.55 810732
weighted avg 0.78 0.81 0.79 810732
Accuracy: 0.8088135166738207
90-100%
precision recall f1-score support
0 0.24 0.17 0.20 88944
1 0.88 0.92 0.90 577496
accuracy 0.82 666440
macro avg 0.56 0.54 0.55 666440
weighted avg 0.79 0.82 0.80 666440
Accuracy: 0.8173233899525839
Treshold: 0.5
All
precision recall f1-score support
0 0.80 0.63 0.70 22531902
1 0.61 0.79 0.69 16938696
accuracy 0.70 39470598
macro avg 0.70 0.71 0.69 39470598
weighted avg 0.72 0.70 0.70 39470598
Accuracy: 0.6950248891592674
precision recall f1-score support
0 0.80 0.63 0.70 22531902
1 0.61 0.79 0.69 16938696
accuracy 0.70 39470598
macro avg 0.70 0.71 0.69 39470598
weighted avg 0.72 0.70 0.70 39470598
Accuracy: 0.6950249144945815
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9992825801823098
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9992825801823098
1-10%
precision recall f1-score support
0 0.97 0.76 0.85 12989887
1 0.24 0.76 0.36 1271288
accuracy 0.76 14261175
macro avg 0.60 0.76 0.61 14261175
weighted avg 0.90 0.76 0.81 14261175
Accuracy: 0.758223778896199
precision recall f1-score support
0 0.96 0.73 0.83 11439888
1 0.24 0.76 0.36 1271288
accuracy 0.73 12711176
macro avg 0.60 0.74 0.59 12711176
weighted avg 0.89 0.73 0.78 12711176
Accuracy: 0.7288291028304541
10-20%
precision recall f1-score support
0 0.92 0.68 0.78 18034328
1 0.41 0.78 0.53 5083660
accuracy 0.70 23117988
macro avg 0.66 0.73 0.66 23117988
weighted avg 0.80 0.70 0.73 23117988
Accuracy: 0.7012975350623073
precision recall f1-score support
0 0.75 0.48 0.58 5044441
1 0.53 0.78 0.63 3812372
accuracy 0.61 8856813
macro avg 0.64 0.63 0.61 8856813
weighted avg 0.65 0.61 0.60 8856813
Accuracy: 0.6096352039949359
20-40%
precision recall f1-score support
0 0.86 0.64 0.73 21029926
1 0.53 0.79 0.63 10666875
accuracy 0.69 31696801
macro avg 0.69 0.71 0.68 31696801
weighted avg 0.74 0.69 0.70 31696801
Accuracy: 0.6908919294410815
precision recall f1-score support
0 0.52 0.42 0.47 2995598
1 0.72 0.79 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: 0.6628511426930509
40-80%
precision recall f1-score support
0 0.81 0.63 0.71 22324987
1 0.60 0.79 0.68 15668439
accuracy 0.69 37993426
macro avg 0.70 0.71 0.69 37993426
weighted avg 0.72 0.69 0.70 37993426
Accuracy: 0.6937290414399586
precision recall f1-score support
0 0.33 0.41 0.36 1295061
1 0.84 0.79 0.81 5001564
accuracy 0.71 6296625
macro avg 0.58 0.60 0.59 6296625
weighted avg 0.73 0.71 0.72 6296625
Accuracy: 0.7080108788438251
80-90%
precision recall f1-score support
0 0.24 0.40 0.30 117971
1 0.88 0.78 0.83 692761
accuracy 0.73 810732
macro avg 0.56 0.59 0.56 810732
weighted avg 0.79 0.73 0.75 810732
Accuracy: 0.726632228652625
90-100%
precision recall f1-score support
0 0.22 0.40 0.28 88944
1 0.89 0.78 0.83 577496
accuracy 0.73 666440
macro avg 0.56 0.59 0.56 666440
weighted avg 0.80 0.73 0.76 666440
Accuracy: 0.7304513534601764
Treshold: 0.6
All
precision recall f1-score support
0 0.75 0.77 0.76 22531902
1 0.68 0.65 0.67 16938696
accuracy 0.72 39470598
macro avg 0.71 0.71 0.71 39470598
weighted avg 0.72 0.72 0.72 39470598
Accuracy: 0.7205015996970707
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999799999870967
1-10%
precision recall f1-score support
0 0.95 0.86 0.90 11439888
1 0.33 0.61 0.43 1271288
accuracy 0.84 12711176
macro avg 0.64 0.74 0.66 12711176
weighted avg 0.89 0.84 0.86 12711176
Accuracy: 0.8353681044145719
10-20%
precision recall f1-score support
0 0.71 0.66 0.69 5044441
1 0.59 0.65 0.62 3812372
accuracy 0.66 8856813
macro avg 0.65 0.65 0.65 8856813
weighted avg 0.66 0.66 0.66 8856813
Accuracy: 0.6560412870859981
20-40%
precision recall f1-score support
0 0.49 0.61 0.54 2995598
1 0.76 0.66 0.70 5583215
accuracy 0.64 8578813
macro avg 0.62 0.63 0.62 8578813
weighted avg 0.66 0.64 0.65 8578813
Accuracy: 0.6403670297977121
40-80%
precision recall f1-score support
0 0.30 0.58 0.40 1295061
1 0.86 0.65 0.74 5001564
accuracy 0.64 6296625
macro avg 0.58 0.62 0.57 6296625
weighted avg 0.74 0.64 0.67 6296625
Accuracy: 0.639187977686459
80-90%
precision recall f1-score support
0 0.22 0.58 0.32 117971
1 0.90 0.65 0.75 692761
accuracy 0.64 810732
macro avg 0.56 0.61 0.53 810732
weighted avg 0.80 0.64 0.69 810732
Accuracy: 0.6372574414233063
90-100%
precision recall f1-score support
0 0.20 0.58 0.30 88944
1 0.91 0.65 0.76 577496
accuracy 0.64 666440
macro avg 0.55 0.61 0.53 666440
weighted avg 0.81 0.64 0.69 666440
Accuracy: 0.6373476982173939
Treshold: 0.7
All
precision recall f1-score support
0 0.67 0.91 0.77 22531902
1 0.77 0.40 0.53 16938696
accuracy 0.69 39470598
macro avg 0.72 0.66 0.65 39470598
weighted avg 0.71 0.69 0.67 39470598
Accuracy: 0.6930104023252954
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.93 0.96 0.95 11439888
1 0.52 0.36 0.43 1271288
accuracy 0.90 12711176
macro avg 0.73 0.66 0.69 12711176
weighted avg 0.89 0.90 0.89 12711176
Accuracy: 0.9030441400543899
10-20%
precision recall f1-score support
0 0.65 0.87 0.75 5044441
1 0.69 0.39 0.50 3812372
accuracy 0.66 8856813
macro avg 0.67 0.63 0.62 8856813
weighted avg 0.67 0.66 0.64 8856813
Accuracy: 0.6643612098392503
20-40%
precision recall f1-score support
0 0.42 0.81 0.56 2995598
1 0.80 0.41 0.54 5583215
accuracy 0.55 8578813
macro avg 0.61 0.61 0.55 8578813
weighted avg 0.67 0.55 0.55 8578813
Accuracy: 0.55040703183529
40-80%
precision recall f1-score support
0 0.25 0.78 0.38 1295061
1 0.88 0.41 0.56 5001564
accuracy 0.48 6296625
macro avg 0.57 0.59 0.47 6296625
weighted avg 0.75 0.48 0.52 6296625
Accuracy: 0.48414015444781927
80-90%
precision recall f1-score support
0 0.18 0.77 0.29 117971
1 0.91 0.40 0.56 692761
accuracy 0.46 810732
macro avg 0.54 0.58 0.42 810732
weighted avg 0.80 0.46 0.52 810732
Accuracy: 0.4561112673485196
90-100%
precision recall f1-score support
0 0.16 0.76 0.27 88944
1 0.92 0.40 0.56 577496
accuracy 0.45 666440
macro avg 0.54 0.58 0.42 666440
weighted avg 0.82 0.45 0.52 666440
Accuracy: 0.4510353520196867
Treshold: 0.8
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
LR_7_decay_vtime
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.83 0.25 0.38 28055468
1 0.49 0.94 0.64 21729815
accuracy 0.55 49785283
macro avg 0.66 0.59 0.51 49785283
weighted avg 0.68 0.55 0.50 49785283
Accuracy: 0.5474596579073377
0-1%
precision recall f1-score support
0 0.86 0.25 0.39 27764588
1 0.43 0.94 0.59 17098553
accuracy 0.51 44863141
macro avg 0.65 0.59 0.49 44863141
weighted avg 0.70 0.51 0.46 44863141
Accuracy: 0.5101256730998839
1-10%
precision recall f1-score support
0 0.08 0.07 0.08 287564
1 0.94 0.94 0.94 4164787
accuracy 0.88 4452351
macro avg 0.51 0.51 0.51 4452351
weighted avg 0.88 0.88 0.88 4452351
Accuracy: 0.8830903044256844
10-20%
precision recall f1-score support
0 0.01 0.07 0.02 2455
1 0.99 0.94 0.96 257616
accuracy 0.93 260071
macro avg 0.50 0.50 0.49 260071
weighted avg 0.98 0.93 0.95 260071
Accuracy: 0.9295000211480711
20-40%
precision recall f1-score support
0 0.01 0.07 0.01 659
1 1.00 0.94 0.97 130568
accuracy 0.93 131227
macro avg 0.50 0.51 0.49 131227
weighted avg 0.99 0.93 0.96 131227
Accuracy: 0.9348457253461558
40-80%
precision recall f1-score support
0 0.00 0.08 0.01 169
1 1.00 0.94 0.97 65234
accuracy 0.93 65403
macro avg 0.50 0.51 0.49 65403
weighted avg 0.99 0.93 0.96 65403
Accuracy: 0.9344066785927251
80-90%
precision recall f1-score support
0 0.00 0.07 0.00 15
1 1.00 0.94 0.97 7371
accuracy 0.93 7386
macro avg 0.50 0.50 0.49 7386
weighted avg 1.00 0.93 0.96 7386
Accuracy: 0.934470620092066
90-100%
precision recall f1-score support
0 0.00 0.06 0.01 18
1 1.00 0.94 0.97 5686
accuracy 0.94 5704
macro avg 0.50 0.50 0.49 5704
weighted avg 0.99 0.94 0.96 5704
Accuracy: 0.9358345021037868
Treshold: 0.5
All
precision recall f1-score support
0 0.74 0.52 0.61 28055468
1 0.55 0.77 0.64 21729815
accuracy 0.63 49785283
macro avg 0.65 0.64 0.63 49785283
weighted avg 0.66 0.63 0.63 49785283
Accuracy: 0.6284319203327617
precision recall f1-score support
0 0.74 0.52 0.61 28055468
1 0.55 0.77 0.64 21729815
accuracy 0.63 49785283
macro avg 0.65 0.64 0.63 49785283
weighted avg 0.66 0.63 0.63 49785283
Accuracy: 0.6284318801602473
0-1%
precision recall f1-score support
0 0.79 0.52 0.63 27764588
1 0.50 0.77 0.60 17098553
accuracy 0.62 44863141
macro avg 0.64 0.64 0.62 44863141
weighted avg 0.68 0.62 0.62 44863141
Accuracy: 0.6153508288686251
precision recall f1-score support
0 0.79 0.52 0.63 27764588
1 0.50 0.77 0.60 17098553
accuracy 0.62 44863141
macro avg 0.64 0.64 0.62 44863141
weighted avg 0.68 0.62 0.62 44863141
Accuracy: 0.615350784288599
1-10%
precision recall f1-score support
0 0.07 0.24 0.11 287564
1 0.94 0.78 0.85 4164787
accuracy 0.75 4452351
macro avg 0.50 0.51 0.48 4452351
weighted avg 0.88 0.75 0.80 4452351
Accuracy: 0.7450122418470602
precision recall f1-score support
0 0.75 0.52 0.61 28052152
1 0.55 0.77 0.64 21263340
accuracy 0.63 49315492
macro avg 0.65 0.64 0.63 49315492
weighted avg 0.66 0.63 0.62 49315492
Accuracy: 0.6270570513622779
10-20%
precision recall f1-score support
0 0.01 0.23 0.02 2455
1 0.99 0.78 0.87 257616
accuracy 0.77 260071
macro avg 0.50 0.50 0.44 260071
weighted avg 0.98 0.77 0.86 260071
Accuracy: 0.7707356837171387
20-40%
precision recall f1-score support
0 0.75 0.52 0.61 28055266
1 0.55 0.77 0.64 21651524
accuracy 0.63 49706790
macro avg 0.65 0.64 0.63 49706790
weighted avg 0.66 0.63 0.63 49706790
Accuracy: 0.6282000708555109
precision recall f1-score support
0 0.01 0.25 0.01 659
1 1.00 0.78 0.87 130568
accuracy 0.78 131227
macro avg 0.50 0.51 0.44 131227
weighted avg 0.99 0.78 0.87 131227
Accuracy: 0.7752672849337408
40-80%
precision recall f1-score support
0 0.74 0.52 0.61 28055435
1 0.55 0.77 0.64 21716758
accuracy 0.63 49772193
macro avg 0.65 0.64 0.63 49772193
weighted avg 0.66 0.63 0.63 49772193
Accuracy: 0.6283927855057542
precision recall f1-score support
0 0.00 0.23 0.01 169
1 1.00 0.78 0.87 65234
accuracy 0.77 65403
macro avg 0.50 0.50 0.44 65403
weighted avg 0.99 0.77 0.87 65403
Accuracy: 0.7748574224423956
80-90%
precision recall f1-score support
0 0.00 0.27 0.00 15
1 1.00 0.77 0.87 7371
accuracy 0.77 7386
macro avg 0.50 0.52 0.44 7386
weighted avg 1.00 0.77 0.87 7386
Accuracy: 0.7695640400758191
90-100%
precision recall f1-score support
0 0.00 0.22 0.01 18
1 1.00 0.79 0.88 5686
accuracy 0.79 5704
macro avg 0.50 0.51 0.44 5704
weighted avg 0.99 0.79 0.88 5704
Accuracy: 0.7871669004207573
Treshold: 0.6
All
precision recall f1-score support
0 0.66 0.76 0.71 28055468
1 0.61 0.49 0.55 21729815
accuracy 0.64 49785283
macro avg 0.64 0.63 0.63 49785283
weighted avg 0.64 0.64 0.64 49785283
Accuracy: 0.6430582306823485
0-1%
precision recall f1-score support
0 0.71 0.76 0.73 27764588
1 0.56 0.49 0.52 17098553
accuracy 0.66 44863141
macro avg 0.63 0.62 0.63 44863141
weighted avg 0.65 0.66 0.65 44863141
Accuracy: 0.6566422756712464
1-10%
precision recall f1-score support
0 0.07 0.49 0.12 287564
1 0.94 0.52 0.67 4164787
accuracy 0.52 4452351
macro avg 0.50 0.51 0.39 4452351
weighted avg 0.88 0.52 0.63 4452351
Accuracy: 0.5189997374420839
10-20%
precision recall f1-score support
0 0.01 0.48 0.02 2455
1 0.99 0.52 0.68 257616
accuracy 0.52 260071
macro avg 0.50 0.50 0.35 260071
weighted avg 0.98 0.52 0.68 260071
Accuracy: 0.5207539479603647
20-40%
precision recall f1-score support
0 0.01 0.51 0.01 659
1 1.00 0.52 0.68 130568
accuracy 0.52 131227
macro avg 0.50 0.52 0.35 131227
weighted avg 0.99 0.52 0.68 131227
Accuracy: 0.5218819297857911
40-80%
precision recall f1-score support
0 0.00 0.46 0.00 169
1 1.00 0.52 0.69 65234
accuracy 0.52 65403
macro avg 0.50 0.49 0.35 65403
weighted avg 0.99 0.52 0.69 65403
Accuracy: 0.5238750516031375
80-90%
precision recall f1-score support
0 0.00 0.27 0.00 15
1 1.00 0.52 0.68 7371
accuracy 0.52 7386
macro avg 0.50 0.39 0.34 7386
weighted avg 1.00 0.52 0.68 7386
Accuracy: 0.5199025182778229
90-100%
precision recall f1-score support
0 0.00 0.44 0.01 18
1 1.00 0.53 0.69 5686
accuracy 0.53 5704
macro avg 0.50 0.49 0.35 5704
weighted avg 0.99 0.53 0.69 5704
Accuracy: 0.527875175315568
Treshold: 0.7
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.16 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.36 0.50 0.36 49785283
weighted avg 0.39 0.56 0.41 49785283
Accuracy: 0.5634782270897205
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.14 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.38 0.50 0.38 44863141
weighted avg 0.44 0.62 0.47 44863141
Accuracy: 0.6188176837640503
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.38 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.22 0.50 0.06 4452351
weighted avg 0.36 0.06 0.01 4452351
Accuracy: 0.06457532211633808
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.44 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.22 0.50 0.01 260071
weighted avg 0.43 0.01 0.00 260071
Accuracy: 0.009432039712232429
20-40%
precision recall f1-score support
0 0.00 0.99 0.01 659
1 0.22 0.00 0.00 130568
accuracy 0.00 131227
macro avg 0.11 0.49 0.00 131227
weighted avg 0.22 0.00 0.00 131227
Accuracy: 0.00498373048229404
40-80%
precision recall f1-score support
0 0.00 0.98 0.01 169
1 0.20 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.10 0.49 0.00 65403
weighted avg 0.20 0.00 0.00 65403
Accuracy: 0.002538109872635812
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.8
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.18 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.37 0.50 0.36 49785283
weighted avg 0.40 0.56 0.41 49785283
Accuracy: 0.5635278200587913
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.14 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.38 0.50 0.38 44863141
weighted avg 0.43 0.62 0.47 44863141
Accuracy: 0.6188712243754846
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.80 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.43 0.50 0.06 4452351
weighted avg 0.75 0.06 0.01 4452351
Accuracy: 0.06458767514061672
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 1.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.50 0.50 0.01 260071
weighted avg 0.99 0.01 0.00 260071
Accuracy: 0.009447420127580545
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 1.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.50 0.50 0.01 131227
weighted avg 1.00 0.01 0.00 131227
Accuracy: 0.005029452780296738
40-80%
precision recall f1-score support
0 0.00 0.99 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.0025686895096555203
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.9
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.83 0.28 0.42 26119367
1 0.52 0.93 0.66 21615229
accuracy 0.58 47734596
macro avg 0.67 0.61 0.54 47734596
weighted avg 0.69 0.58 0.53 47734596
Accuracy: 0.5754493449572716
0-1%
precision recall f1-score support
0 0.99 0.45 0.62 12053010
1 0.07 0.90 0.12 508421
accuracy 0.47 12561431
macro avg 0.53 0.68 0.37 12561431
weighted avg 0.95 0.47 0.60 12561431
Accuracy: 0.46967403634187854
1-10%
precision recall f1-score support
0 0.65 0.14 0.23 13368467
1 0.54 0.93 0.68 14466820
accuracy 0.55 27835287
macro avg 0.59 0.54 0.46 27835287
weighted avg 0.59 0.55 0.47 27835287
Accuracy: 0.5508712735744381
10-20%
precision recall f1-score support
0 0.18 0.11 0.13 503365
1 0.87 0.93 0.90 3387274
accuracy 0.82 3890639
macro avg 0.53 0.52 0.52 3890639
weighted avg 0.79 0.82 0.80 3890639
Accuracy: 0.8223826471692697
20-40%
precision recall f1-score support
0 0.10 0.11 0.10 147488
1 0.93 0.93 0.93 1970425
accuracy 0.87 2117913
macro avg 0.52 0.52 0.52 2117913
weighted avg 0.87 0.87 0.87 2117913
Accuracy: 0.870333200655551
40-80%
precision recall f1-score support
0 0.06 0.11 0.08 41616
1 0.96 0.93 0.94 1064279
accuracy 0.90 1105895
macro avg 0.51 0.52 0.51 1105895
weighted avg 0.93 0.90 0.91 1105895
Accuracy: 0.8953264098309514
80-90%
precision recall f1-score support
0 0.04 0.13 0.06 3093
1 0.98 0.92 0.95 120943
accuracy 0.90 124036
macro avg 0.51 0.53 0.51 124036
weighted avg 0.95 0.90 0.93 124036
Accuracy: 0.9049227643587345
90-100%
precision recall f1-score support
0 0.04 0.12 0.06 2328
1 0.98 0.93 0.95 97067
accuracy 0.91 99395
macro avg 0.51 0.52 0.50 99395
weighted avg 0.96 0.91 0.93 99395
Accuracy: 0.9068866643191308
Treshold: 0.5
All
precision recall f1-score support
0 0.74 0.58 0.65 26119367
1 0.60 0.76 0.67 21615229
accuracy 0.66 47734596
macro avg 0.67 0.67 0.66 47734596
weighted avg 0.68 0.66 0.66 47734596
Accuracy: 0.6593091936925579
precision recall f1-score support
0 0.74 0.58 0.65 26119367
1 0.60 0.76 0.67 21615229
accuracy 0.66 47734596
macro avg 0.67 0.67 0.66 47734596
weighted avg 0.68 0.66 0.66 47734596
Accuracy: 0.6593091936925579
0-1%
precision recall f1-score support
0 0.98 0.78 0.87 12053010
1 0.12 0.70 0.20 508421
accuracy 0.78 12561431
macro avg 0.55 0.74 0.54 12561431
weighted avg 0.95 0.78 0.84 12561431
Accuracy: 0.7790837684018644
precision recall f1-score support
0 0.98 0.78 0.87 12053010
1 0.12 0.70 0.20 508421
accuracy 0.78 12561431
macro avg 0.55 0.74 0.54 12561431
weighted avg 0.95 0.78 0.84 12561431
Accuracy: 0.7790837684018644
1-10%
precision recall f1-score support
0 0.80 0.59 0.68 25421477
1 0.52 0.75 0.61 14975241
accuracy 0.65 40396718
macro avg 0.66 0.67 0.65 40396718
weighted avg 0.70 0.65 0.65 40396718
Accuracy: 0.6488780846008332
precision recall f1-score support
0 0.61 0.41 0.49 13368467
1 0.58 0.76 0.66 14466820
accuracy 0.59 27835287
macro avg 0.59 0.58 0.57 27835287
weighted avg 0.59 0.59 0.58 27835287
Accuracy: 0.5901192252840791
10-20%
precision recall f1-score support
0 0.77 0.58 0.66 25924842
1 0.56 0.76 0.64 18362515
accuracy 0.65 44287357
macro avg 0.67 0.67 0.65 44287357
weighted avg 0.68 0.65 0.66 44287357
Accuracy: 0.6537253058474454
precision recall f1-score support
0 0.16 0.31 0.21 503365
1 0.88 0.76 0.82 3387274
accuracy 0.70 3890639
macro avg 0.52 0.54 0.52 3890639
weighted avg 0.79 0.70 0.74 3890639
Accuracy: 0.7040542697484912
20-40%
precision recall f1-score support
0 0.75 0.58 0.66 26072330
1 0.58 0.76 0.66 20332940
accuracy 0.66 46405270
macro avg 0.67 0.67 0.66 46405270
weighted avg 0.68 0.66 0.66 46405270
Accuracy: 0.6570462578926919
precision recall f1-score support
0 0.09 0.31 0.14 147488
1 0.94 0.76 0.84 1970425
accuracy 0.73 2117913
macro avg 0.51 0.53 0.49 2117913
weighted avg 0.88 0.73 0.79 2117913
Accuracy: 0.7264901816080264
40-80%
precision recall f1-score support
0 0.74 0.58 0.65 26113946
1 0.60 0.76 0.67 21397219
accuracy 0.66 47511165
macro avg 0.67 0.67 0.66 47511165
weighted avg 0.68 0.66 0.66 47511165
Accuracy: 0.6589230131485936
precision recall f1-score support
0 0.05 0.31 0.08 41616
1 0.97 0.75 0.85 1064279
accuracy 0.74 1105895
macro avg 0.51 0.53 0.46 1105895
weighted avg 0.93 0.74 0.82 1105895
Accuracy: 0.7376749148879415
80-90%
precision recall f1-score support
0 0.03 0.33 0.06 3093
1 0.98 0.75 0.85 120943
accuracy 0.74 124036
macro avg 0.50 0.54 0.45 124036
weighted avg 0.95 0.74 0.83 124036
Accuracy: 0.7408494308104099
90-100%
precision recall f1-score support
0 0.03 0.31 0.05 2328
1 0.98 0.75 0.85 97067
accuracy 0.74 99395
macro avg 0.50 0.53 0.45 99395
weighted avg 0.96 0.74 0.83 99395
Accuracy: 0.7421500075456512
Treshold: 0.6
All
precision recall f1-score support
0 0.67 0.75 0.71 26119367
1 0.65 0.56 0.60 21615229
accuracy 0.67 47734596
macro avg 0.66 0.66 0.66 47734596
weighted avg 0.66 0.67 0.66 47734596
Accuracy: 0.6659124966722249
0-1%
precision recall f1-score support
0 0.98 0.91 0.94 12053010
1 0.19 0.49 0.28 508421
accuracy 0.90 12561431
macro avg 0.59 0.70 0.61 12561431
weighted avg 0.95 0.90 0.92 12561431
Accuracy: 0.8967799926616641
1-10%
precision recall f1-score support
0 0.57 0.63 0.59 13368467
1 0.62 0.56 0.58 14466820
accuracy 0.59 27835287
macro avg 0.59 0.59 0.59 27835287
weighted avg 0.59 0.59 0.59 27835287
Accuracy: 0.589570138076895
10-20%
precision recall f1-score support
0 0.14 0.49 0.22 503365
1 0.88 0.57 0.69 3387274
accuracy 0.56 3890639
macro avg 0.51 0.53 0.46 3890639
weighted avg 0.79 0.56 0.63 3890639
Accuracy: 0.5598941459230733
20-40%
precision recall f1-score support
0 0.08 0.49 0.13 147488
1 0.94 0.57 0.71 1970425
accuracy 0.56 2117913
macro avg 0.51 0.53 0.42 2117913
weighted avg 0.88 0.56 0.67 2117913
Accuracy: 0.5607761036454283
40-80%
precision recall f1-score support
0 0.04 0.49 0.08 41616
1 0.97 0.56 0.71 1064279
accuracy 0.56 1105895
macro avg 0.50 0.53 0.39 1105895
weighted avg 0.93 0.56 0.69 1105895
Accuracy: 0.5608769367797124
80-90%
precision recall f1-score support
0 0.03 0.50 0.05 3093
1 0.98 0.56 0.71 120943
accuracy 0.56 124036
macro avg 0.50 0.53 0.38 124036
weighted avg 0.95 0.56 0.70 124036
Accuracy: 0.5600954561578897
90-100%
precision recall f1-score support
0 0.03 0.48 0.05 2328
1 0.98 0.56 0.71 97067
accuracy 0.56 99395
macro avg 0.50 0.52 0.38 99395
weighted avg 0.96 0.56 0.70 99395
Accuracy: 0.5594446400724382
Treshold: 0.7
All
precision recall f1-score support
0 0.58 0.94 0.72 26119367
1 0.72 0.17 0.28 21615229
accuracy 0.60 47734596
macro avg 0.65 0.56 0.50 47734596
weighted avg 0.64 0.60 0.52 47734596
Accuracy: 0.5954824463162943
0-1%
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.40 0.15 0.21 508421
accuracy 0.96 12561431
macro avg 0.68 0.57 0.60 12561431
weighted avg 0.94 0.96 0.95 12561431
Accuracy: 0.9565823352450847
1-10%
precision recall f1-score support
0 0.50 0.91 0.65 13368467
1 0.67 0.17 0.27 14466820
accuracy 0.52 27835287
macro avg 0.58 0.54 0.46 27835287
weighted avg 0.59 0.52 0.45 27835287
Accuracy: 0.5243259033039609
10-20%
precision recall f1-score support
0 0.13 0.84 0.23 503365
1 0.88 0.18 0.31 3387274
accuracy 0.27 3890639
macro avg 0.51 0.51 0.27 3890639
weighted avg 0.79 0.27 0.30 3890639
Accuracy: 0.2688671449599924
20-40%
precision recall f1-score support
0 0.07 0.83 0.13 147488
1 0.94 0.19 0.31 1970425
accuracy 0.23 2117913
macro avg 0.50 0.51 0.22 2117913
weighted avg 0.88 0.23 0.30 2117913
Accuracy: 0.23132819903367136
40-80%
precision recall f1-score support
0 0.04 0.84 0.07 41616
1 0.97 0.19 0.31 1064279
accuracy 0.21 1105895
macro avg 0.50 0.51 0.19 1105895
weighted avg 0.93 0.21 0.30 1105895
Accuracy: 0.21072163270473238
80-90%
precision recall f1-score support
0 0.03 0.84 0.05 3093
1 0.98 0.19 0.32 120943
accuracy 0.20 124036
macro avg 0.50 0.51 0.18 124036
weighted avg 0.95 0.20 0.31 124036
Accuracy: 0.204295527105034
90-100%
precision recall f1-score support
0 0.02 0.83 0.05 2328
1 0.98 0.19 0.31 97067
accuracy 0.20 99395
macro avg 0.50 0.51 0.18 99395
weighted avg 0.96 0.20 0.31 99395
Accuracy: 0.2005634086221641
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789056306248
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595251528269351
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.48027042077920734
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.83 0.31 0.45 24893266
1 0.53 0.92 0.67 20563095
accuracy 0.59 45456361
macro avg 0.68 0.62 0.56 45456361
weighted avg 0.69 0.59 0.55 45456361
Accuracy: 0.5884104537096579
0-1%
precision recall f1-score support
0 1.00 0.72 0.83 4873589
1 0.00 0.91 0.01 3872
accuracy 0.72 4877461
macro avg 0.50 0.81 0.42 4877461
weighted avg 1.00 0.72 0.83 4877461
Accuracy: 0.7162039839990519
1-10%
precision recall f1-score support
0 0.86 0.23 0.36 16949103
1 0.36 0.92 0.52 8016772
accuracy 0.45 24965875
macro avg 0.61 0.57 0.44 24965875
weighted avg 0.70 0.45 0.41 24965875
Accuracy: 0.45034692355064665
10-20%
precision recall f1-score support
0 0.40 0.13 0.20 2057494
1 0.74 0.93 0.82 5461156
accuracy 0.71 7518650
macro avg 0.57 0.53 0.51 7518650
weighted avg 0.65 0.71 0.65 7518650
Accuracy: 0.7092624340805863
20-40%
precision recall f1-score support
0 0.24 0.13 0.17 744974
1 0.85 0.93 0.89 4060539
accuracy 0.80 4805513
macro avg 0.55 0.53 0.53 4805513
weighted avg 0.76 0.80 0.78 4805513
Accuracy: 0.8019239569219769
40-80%
precision recall f1-score support
0 0.14 0.13 0.14 235909
1 0.92 0.92 0.92 2483775
accuracy 0.85 2719684
macro avg 0.53 0.53 0.53 2719684
weighted avg 0.85 0.85 0.85 2719684
Accuracy: 0.8548073967416803
80-90%
precision recall f1-score support
0 0.10 0.14 0.11 18577
1 0.94 0.92 0.93 296772
accuracy 0.88 315349
macro avg 0.52 0.53 0.52 315349
weighted avg 0.89 0.88 0.88 315349
Accuracy: 0.8753159198221653
90-100%
precision recall f1-score support
0 0.09 0.14 0.11 13620
1 0.95 0.92 0.94 240209
accuracy 0.88 253829
macro avg 0.52 0.53 0.52 253829
weighted avg 0.90 0.88 0.89 253829
Accuracy: 0.8795212524967596
Treshold: 0.5
All
precision recall f1-score support
0 0.76 0.60 0.67 24893266
1 0.61 0.77 0.68 20563095
accuracy 0.68 45456361
macro avg 0.69 0.68 0.68 45456361
weighted avg 0.69 0.68 0.67 45456361
Accuracy: 0.6755462013336263
precision recall f1-score support
0 0.76 0.60 0.67 24893266
1 0.61 0.77 0.68 20563095
accuracy 0.68 45456361
macro avg 0.69 0.68 0.68 45456361
weighted avg 0.69 0.68 0.67 45456361
Accuracy: 0.6755462013336263
0-1%
precision recall f1-score support
0 1.00 0.95 0.97 4873589
1 0.01 0.71 0.02 3872
accuracy 0.95 4877461
macro avg 0.51 0.83 0.50 4877461
weighted avg 1.00 0.95 0.97 4877461
Accuracy: 0.9479210597480944
precision recall f1-score support
0 1.00 0.95 0.97 4873589
1 0.01 0.71 0.02 3872
accuracy 0.95 4877461
macro avg 0.51 0.83 0.50 4877461
weighted avg 1.00 0.95 0.97 4877461
Accuracy: 0.9479210597480944
1-10%
precision recall f1-score support
0 0.83 0.54 0.65 16949103
1 0.44 0.76 0.56 8016772
accuracy 0.61 24965875
macro avg 0.63 0.65 0.61 24965875
weighted avg 0.70 0.61 0.62 24965875
Accuracy: 0.6124068553575631
precision recall f1-score support
0 0.88 0.63 0.74 21822692
1 0.43 0.76 0.55 8020644
accuracy 0.67 29843336
macro avg 0.66 0.70 0.64 29843336
weighted avg 0.76 0.67 0.69 29843336
Accuracy: 0.6672417922714806
10-20%
precision recall f1-score support
0 0.82 0.61 0.70 23880186
1 0.53 0.77 0.62 13481800
accuracy 0.67 37361986
macro avg 0.67 0.69 0.66 37361986
weighted avg 0.72 0.67 0.67 37361986
Accuracy: 0.6666354673972631
precision recall f1-score support
0 0.38 0.37 0.37 2057494
1 0.77 0.78 0.77 5461156
accuracy 0.66 7518650
macro avg 0.57 0.57 0.57 7518650
weighted avg 0.66 0.66 0.66 7518650
Accuracy: 0.6642288176733855
20-40%
precision recall f1-score support
0 0.78 0.60 0.68 24625160
1 0.58 0.77 0.66 17542339
accuracy 0.67 42167499
macro avg 0.68 0.69 0.67 42167499
weighted avg 0.70 0.67 0.67 42167499
Accuracy: 0.6712092410318193
precision recall f1-score support
0 0.22 0.36 0.27 744974
1 0.87 0.77 0.82 4060539
accuracy 0.71 4805513
macro avg 0.54 0.56 0.54 4805513
weighted avg 0.77 0.71 0.73 4805513
Accuracy: 0.7067694957853615
40-80%
precision recall f1-score support
0 0.13 0.35 0.19 235909
1 0.93 0.77 0.84 2483775
accuracy 0.73 2719684
macro avg 0.53 0.56 0.51 2719684
weighted avg 0.86 0.73 0.78 2719684
Accuracy: 0.7296358694613051
precision recall f1-score support
0 0.76 0.60 0.67 24861069
1 0.61 0.77 0.68 20026114
accuracy 0.67 44887183
macro avg 0.68 0.68 0.67 44887183
weighted avg 0.69 0.67 0.67 44887183
Accuracy: 0.6747492708553352
80-90%
precision recall f1-score support
0 0.09 0.36 0.14 18577
1 0.95 0.76 0.84 296772
accuracy 0.74 315349
macro avg 0.52 0.56 0.49 315349
weighted avg 0.90 0.74 0.80 315349
Accuracy: 0.7371737344973347
90-100%
precision recall f1-score support
0 0.08 0.36 0.13 13620
1 0.95 0.76 0.85 240209
accuracy 0.74 253829
macro avg 0.52 0.56 0.49 253829
weighted avg 0.91 0.74 0.81 253829
Accuracy: 0.739911515232696
Treshold: 0.6
All
precision recall f1-score support
0 0.69 0.76 0.73 24893266
1 0.67 0.60 0.63 20563095
accuracy 0.69 45456361
macro avg 0.68 0.68 0.68 45456361
weighted avg 0.68 0.69 0.68 45456361
Accuracy: 0.6853694909717916
0-1%
precision recall f1-score support
0 1.00 0.99 0.99 4873589
1 0.04 0.53 0.07 3872
accuracy 0.99 4877461
macro avg 0.52 0.76 0.53 4877461
weighted avg 1.00 0.99 0.99 4877461
Accuracy: 0.9888593676095001
1-10%
precision recall f1-score support
0 0.79 0.73 0.76 16949103
1 0.51 0.59 0.55 8016772
accuracy 0.69 24965875
macro avg 0.65 0.66 0.65 24965875
weighted avg 0.70 0.69 0.69 24965875
Accuracy: 0.6865130503136782
10-20%
precision recall f1-score support
0 0.34 0.54 0.42 2057494
1 0.78 0.61 0.68 5461156
accuracy 0.59 7518650
macro avg 0.56 0.57 0.55 7518650
weighted avg 0.66 0.59 0.61 7518650
Accuracy: 0.5877176088792536
20-40%
precision recall f1-score support
0 0.19 0.51 0.28 744974
1 0.87 0.60 0.71 4060539
accuracy 0.59 4805513
macro avg 0.53 0.56 0.50 4805513
weighted avg 0.77 0.59 0.65 4805513
Accuracy: 0.5898589807165229
40-80%
precision recall f1-score support
0 0.11 0.51 0.18 235909
1 0.93 0.60 0.73 2483775
accuracy 0.59 2719684
macro avg 0.52 0.55 0.45 2719684
weighted avg 0.86 0.59 0.68 2719684
Accuracy: 0.5896339427668803
80-90%
precision recall f1-score support
0 0.07 0.51 0.13 18577
1 0.95 0.59 0.73 296772
accuracy 0.59 315349
macro avg 0.51 0.55 0.43 315349
weighted avg 0.90 0.59 0.69 315349
Accuracy: 0.5880690917047462
90-100%
precision recall f1-score support
0 0.07 0.51 0.12 13620
1 0.96 0.59 0.73 240209
accuracy 0.59 253829
macro avg 0.51 0.55 0.42 253829
weighted avg 0.91 0.59 0.70 253829
Accuracy: 0.5885773493178479
Treshold: 0.7
All
precision recall f1-score support
0 0.60 0.93 0.73 24893266
1 0.74 0.26 0.38 20563095
accuracy 0.62 45456361
macro avg 0.67 0.59 0.56 45456361
weighted avg 0.67 0.62 0.57 45456361
Accuracy: 0.6240705453742766
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.25 0.21 0.23 3872
accuracy 1.00 4877461
macro avg 0.62 0.61 0.61 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9988602676679527
1-10%
precision recall f1-score support
0 0.72 0.93 0.81 16949103
1 0.62 0.25 0.35 8016772
accuracy 0.71 24965875
macro avg 0.67 0.59 0.58 24965875
weighted avg 0.69 0.71 0.66 24965875
Accuracy: 0.7087652245314855
10-20%
precision recall f1-score support
0 0.29 0.81 0.43 2057494
1 0.79 0.26 0.40 5461156
accuracy 0.41 7518650
macro avg 0.54 0.54 0.41 7518650
weighted avg 0.65 0.41 0.41 7518650
Accuracy: 0.4141135709203115
20-40%
precision recall f1-score support
0 0.17 0.79 0.27 744974
1 0.87 0.27 0.41 4060539
accuracy 0.35 4805513
macro avg 0.52 0.53 0.34 4805513
weighted avg 0.76 0.35 0.39 4805513
Accuracy: 0.3480512902576686
40-80%
precision recall f1-score support
0 0.09 0.79 0.17 235909
1 0.93 0.27 0.41 2483775
accuracy 0.31 2719684
macro avg 0.51 0.53 0.29 2719684
weighted avg 0.86 0.31 0.39 2719684
Accuracy: 0.3115865666746578
80-90%
precision recall f1-score support
0 0.06 0.79 0.12 18577
1 0.95 0.26 0.41 296772
accuracy 0.30 315349
macro avg 0.51 0.53 0.27 315349
weighted avg 0.90 0.30 0.40 315349
Accuracy: 0.29552337251743305
90-100%
precision recall f1-score support
0 0.06 0.79 0.11 13620
1 0.96 0.26 0.41 240209
accuracy 0.29 253829
macro avg 0.51 0.53 0.26 253829
weighted avg 0.91 0.29 0.40 253829
Accuracy: 0.2930319230663163
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.85 0.37 0.51 22531902
1 0.52 0.92 0.66 16938696
accuracy 0.60 39470598
macro avg 0.69 0.64 0.59 39470598
weighted avg 0.71 0.60 0.58 39470598
Accuracy: 0.601860858556032
0-1%
precision recall f1-score support
0 1.00 0.97 0.98 1549999
1 0.00 0.00 0.00 0
accuracy 0.97 1549999
macro avg 0.50 0.48 0.49 1549999
weighted avg 1.00 0.97 0.98 1549999
Accuracy: 0.9667625592016511
1-10%
precision recall f1-score support
0 0.97 0.43 0.59 11439888
1 0.15 0.90 0.26 1271288
accuracy 0.47 12711176
macro avg 0.56 0.66 0.42 12711176
weighted avg 0.89 0.47 0.56 12711176
Accuracy: 0.4739205090071918
10-20%
precision recall f1-score support
0 0.76 0.21 0.33 5044441
1 0.47 0.91 0.62 3812372
accuracy 0.51 8856813
macro avg 0.62 0.56 0.47 8856813
weighted avg 0.64 0.51 0.46 8856813
Accuracy: 0.5138872187998098
20-40%
precision recall f1-score support
0 0.54 0.18 0.27 2995598
1 0.68 0.92 0.78 5583215
accuracy 0.66 8578813
macro avg 0.61 0.55 0.52 8578813
weighted avg 0.63 0.66 0.60 8578813
Accuracy: 0.6609046030027698
40-80%
precision recall f1-score support
0 0.35 0.17 0.23 1295061
1 0.81 0.92 0.86 5001564
accuracy 0.76 6296625
macro avg 0.58 0.54 0.55 6296625
weighted avg 0.72 0.76 0.73 6296625
Accuracy: 0.7643621781509936
80-90%
precision recall f1-score support
0 0.26 0.17 0.21 117971
1 0.87 0.92 0.89 692761
accuracy 0.81 810732
macro avg 0.56 0.54 0.55 810732
weighted avg 0.78 0.81 0.79 810732
Accuracy: 0.8079636674018048
90-100%
precision recall f1-score support
0 0.24 0.17 0.20 88944
1 0.88 0.92 0.90 577496
accuracy 0.82 666440
macro avg 0.56 0.54 0.55 666440
weighted avg 0.79 0.82 0.80 666440
Accuracy: 0.8164515935418042
Treshold: 0.5
All
precision recall f1-score support
0 0.79 0.63 0.70 22531902
1 0.61 0.78 0.69 16938696
accuracy 0.70 39470598
macro avg 0.70 0.71 0.70 39470598
weighted avg 0.72 0.70 0.70 39470598
Accuracy: 0.6961267219716306
precision recall f1-score support
0 0.79 0.63 0.70 22531902
1 0.61 0.78 0.69 16938696
accuracy 0.70 39470598
macro avg 0.70 0.71 0.70 39470598
weighted avg 0.72 0.70 0.70 39470598
Accuracy: 0.6961267219716306
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9993290318251818
1-10%
precision recall f1-score support
0 0.97 0.76 0.85 12989887
1 0.24 0.76 0.36 1271288
accuracy 0.76 14261175
macro avg 0.60 0.76 0.61 14261175
weighted avg 0.90 0.76 0.81 14261175
Accuracy: 0.7609563728093933
precision recall f1-score support
0 0.96 0.73 0.83 11439888
1 0.24 0.76 0.36 1271288
accuracy 0.73 12711176
macro avg 0.60 0.74 0.60 12711176
weighted avg 0.89 0.73 0.78 12711176
Accuracy: 0.7318892445514089
10-20%
precision recall f1-score support
0 0.92 0.68 0.78 18034328
1 0.41 0.78 0.54 5083660
accuracy 0.70 23117988
macro avg 0.66 0.73 0.66 23117988
weighted avg 0.80 0.70 0.73 23117988
Accuracy: 0.7035804326916338
precision recall f1-score support
0 0.75 0.48 0.59 5044441
1 0.53 0.78 0.63 3812372
accuracy 0.61 8856813
macro avg 0.64 0.63 0.61 8856813
weighted avg 0.65 0.61 0.61 8856813
Accuracy: 0.611194116890579
20-40%
precision recall f1-score support
0 0.85 0.65 0.74 21029926
1 0.53 0.78 0.63 10666875
accuracy 0.69 31696801
macro avg 0.69 0.71 0.68 31696801
weighted avg 0.74 0.69 0.70 31696801
Accuracy: 0.6925511505088479
precision recall f1-score support
0 0.52 0.43 0.47 2995598
1 0.72 0.79 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: 0.6628296945043562
40-80%
precision recall f1-score support
0 0.33 0.41 0.37 1295061
1 0.84 0.78 0.81 5001564
accuracy 0.71 6296625
macro avg 0.58 0.60 0.59 6296625
weighted avg 0.73 0.71 0.72 6296625
Accuracy: 0.706921723939412
80-90%
precision recall f1-score support
0 0.24 0.41 0.30 117971
1 0.89 0.78 0.83 692761
accuracy 0.73 810732
macro avg 0.56 0.59 0.56 810732
weighted avg 0.79 0.73 0.75 810732
Accuracy: 0.7251175480923412
90-100%
precision recall f1-score support
0 0.22 0.41 0.29 88944
1 0.89 0.78 0.83 577496
accuracy 0.73 666440
macro avg 0.56 0.59 0.56 666440
weighted avg 0.80 0.73 0.76 666440
Accuracy: 0.7289253346137686
Treshold: 0.6
All
precision recall f1-score support
0 0.75 0.77 0.76 22531902
1 0.68 0.65 0.67 16938696
accuracy 0.72 39470598
macro avg 0.71 0.71 0.71 39470598
weighted avg 0.72 0.72 0.72 39470598
Accuracy: 0.7204605311528344
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999799999870967
1-10%
precision recall f1-score support
0 0.95 0.86 0.90 11439888
1 0.33 0.61 0.43 1271288
accuracy 0.84 12711176
macro avg 0.64 0.73 0.67 12711176
weighted avg 0.89 0.84 0.86 12711176
Accuracy: 0.8359139233065453
10-20%
precision recall f1-score support
0 0.71 0.67 0.69 5044441
1 0.59 0.64 0.62 3812372
accuracy 0.66 8856813
macro avg 0.65 0.65 0.65 8856813
weighted avg 0.66 0.66 0.66 8856813
Accuracy: 0.6561279999927739
20-40%
precision recall f1-score support
0 0.49 0.61 0.54 2995598
1 0.76 0.66 0.70 5583215
accuracy 0.64 8578813
macro avg 0.62 0.63 0.62 8578813
weighted avg 0.66 0.64 0.65 8578813
Accuracy: 0.6399417961435924
40-80%
precision recall f1-score support
0 0.30 0.59 0.40 1295061
1 0.86 0.65 0.74 5001564
accuracy 0.64 6296625
macro avg 0.58 0.62 0.57 6296625
weighted avg 0.74 0.64 0.67 6296625
Accuracy: 0.6384820439521172
80-90%
precision recall f1-score support
0 0.22 0.58 0.32 117971
1 0.90 0.65 0.75 692761
accuracy 0.64 810732
macro avg 0.56 0.61 0.53 810732
weighted avg 0.80 0.64 0.69 810732
Accuracy: 0.636448296107715
90-100%
precision recall f1-score support
0 0.20 0.58 0.30 88944
1 0.91 0.65 0.75 577496
accuracy 0.64 666440
macro avg 0.55 0.61 0.53 666440
weighted avg 0.81 0.64 0.69 666440
Accuracy: 0.6364804033371346
Treshold: 0.7
All
precision recall f1-score support
0 0.67 0.91 0.77 22531902
1 0.77 0.41 0.53 16938696
accuracy 0.69 39470598
macro avg 0.72 0.66 0.65 39470598
weighted avg 0.71 0.69 0.67 39470598
Accuracy: 0.6939022560539874
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.93 0.96 0.95 11439888
1 0.52 0.36 0.43 1271288
accuracy 0.90 12711176
macro avg 0.73 0.66 0.69 12711176
weighted avg 0.89 0.90 0.89 12711176
Accuracy: 0.9025836004473543
10-20%
precision recall f1-score support
0 0.66 0.87 0.75 5044441
1 0.69 0.40 0.51 3812372
accuracy 0.66 8856813
macro avg 0.67 0.63 0.63 8856813
weighted avg 0.67 0.66 0.64 8856813
Accuracy: 0.6646752054040206
20-40%
precision recall f1-score support
0 0.43 0.81 0.56 2995598
1 0.80 0.41 0.55 5583215
accuracy 0.55 8578813
macro avg 0.61 0.61 0.55 8578813
weighted avg 0.67 0.55 0.55 8578813
Accuracy: 0.5521397890360823
40-80%
precision recall f1-score support
0 0.25 0.77 0.38 1295061
1 0.88 0.41 0.56 5001564
accuracy 0.49 6296625
macro avg 0.57 0.59 0.47 6296625
weighted avg 0.75 0.49 0.52 6296625
Accuracy: 0.4870548905167451
80-90%
precision recall f1-score support
0 0.18 0.76 0.29 117971
1 0.91 0.41 0.56 692761
accuracy 0.46 810732
macro avg 0.54 0.59 0.43 810732
weighted avg 0.80 0.46 0.52 810732
Accuracy: 0.4594588594011338
90-100%
precision recall f1-score support
0 0.17 0.76 0.27 88944
1 0.92 0.41 0.56 577496
accuracy 0.45 666440
macro avg 0.54 0.58 0.42 666440
weighted avg 0.82 0.45 0.53 666440
Accuracy: 0.4545510473561011
Treshold: 0.8
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
LR_8_decay_rtime
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.93 0.55 0.70 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: 0.7257770333453764
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: 0.7021744866236629
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 0.87 0.69 0.77 28055468
1 0.68 0.87 0.76 21729815
accuracy 0.77 49785283
macro avg 0.78 0.78 0.77 49785283
weighted avg 0.79 0.77 0.77 49785283
Accuracy: 0.766295172008965
precision recall f1-score support
0 0.87 0.69 0.77 28055468
1 0.68 0.87 0.76 21729815
accuracy 0.77 49785283
macro avg 0.78 0.78 0.77 49785283
weighted avg 0.79 0.77 0.77 49785283
Accuracy: 0.766295172008965
0-1%
precision recall f1-score support
0 0.87 0.69 0.77 27764588
1 0.63 0.83 0.72 17098553
accuracy 0.75 44863141
macro avg 0.75 0.76 0.74 44863141
weighted avg 0.78 0.75 0.75 44863141
Accuracy: 0.7471380570522247
precision recall f1-score support
0 0.87 0.69 0.77 27764588
1 0.63 0.83 0.72 17098553
accuracy 0.75 44863141
macro avg 0.75 0.76 0.74 44863141
weighted avg 0.78 0.75 0.75 44863141
Accuracy: 0.7471380570522247
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
precision recall f1-score support
0 0.87 0.69 0.77 28052152
1 0.68 0.87 0.76 21263340
accuracy 0.76 49315492
macro avg 0.77 0.78 0.76 49315492
weighted avg 0.79 0.76 0.76 49315492
Accuracy: 0.7641360852691077
10-20%
precision recall f1-score support
0 0.87 0.69 0.77 28054607
1 0.68 0.87 0.76 21520956
accuracy 0.77 49575563
macro avg 0.78 0.78 0.77 49575563
weighted avg 0.79 0.77 0.77 49575563
Accuracy: 0.7653238955652405
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 0.87 0.69 0.77 28055266
1 0.68 0.87 0.76 21651524
accuracy 0.77 49706790
macro avg 0.78 0.78 0.77 49706790
weighted avg 0.79 0.77 0.77 49706790
Accuracy: 0.7659301878073398
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 0.83 0.76 0.79 28055468
1 0.72 0.80 0.76 21729815
accuracy 0.78 49785283
macro avg 0.77 0.78 0.78 49785283
weighted avg 0.78 0.78 0.78 49785283
Accuracy: 0.776866930735334
0-1%
precision recall f1-score support
0 0.83 0.77 0.80 27764588
1 0.66 0.74 0.70 17098553
accuracy 0.76 44863141
macro avg 0.75 0.76 0.75 44863141
weighted avg 0.77 0.76 0.76 44863141
Accuracy: 0.7588701156702337
1-10%
precision recall f1-score support
0 0.09 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.51 0.50 0.48 4452351
weighted avg 0.88 0.94 0.90 4452351
Accuracy: 0.9354087312523204
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
Treshold: 0.7
All
precision recall f1-score support
0 0.76 0.85 0.81 28055468
1 0.78 0.66 0.71 21729815
accuracy 0.77 49785283
macro avg 0.77 0.76 0.76 49785283
weighted avg 0.77 0.77 0.77 49785283
Accuracy: 0.7690296548078275
0-1%
precision recall f1-score support
0 0.76 0.86 0.81 27764588
1 0.72 0.57 0.63 17098553
accuracy 0.75 44863141
macro avg 0.74 0.72 0.72 44863141
weighted avg 0.75 0.75 0.74 44863141
Accuracy: 0.7502877027714132
1-10%
precision recall f1-score support
0 0.11 0.00 0.01 287564
1 0.94 1.00 0.97 4164787
accuracy 0.93 4452351
macro avg 0.52 0.50 0.49 4452351
weighted avg 0.88 0.93 0.90 4452351
Accuracy: 0.9342538357824889
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905410445609084
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
Treshold: 0.8
All
precision recall f1-score support
0 0.66 0.96 0.78 28055468
1 0.87 0.35 0.50 21729815
accuracy 0.69 49785283
macro avg 0.76 0.66 0.64 49785283
weighted avg 0.75 0.69 0.66 49785283
Accuracy: 0.694558209099665
0-1%
precision recall f1-score support
0 0.67 0.97 0.79 27764588
1 0.79 0.21 0.33 17098553
accuracy 0.68 44863141
macro avg 0.73 0.59 0.56 44863141
weighted avg 0.71 0.68 0.61 44863141
Accuracy: 0.6781949351250284
1-10%
precision recall f1-score support
0 0.08 0.16 0.11 287564
1 0.94 0.88 0.91 4164787
accuracy 0.83 4452351
macro avg 0.51 0.52 0.51 4452351
weighted avg 0.88 0.83 0.86 4452351
Accuracy: 0.833451585465746
10-20%
precision recall f1-score support
0 0.01 0.08 0.02 2455
1 0.99 0.94 0.97 257616
accuracy 0.94 260071
macro avg 0.50 0.51 0.50 260071
weighted avg 0.98 0.94 0.96 260071
Accuracy: 0.9368441694767967
20-40%
precision recall f1-score support
0 0.01 0.09 0.02 659
1 1.00 0.95 0.97 130568
accuracy 0.94 131227
macro avg 0.50 0.52 0.49 131227
weighted avg 0.99 0.94 0.97 131227
Accuracy: 0.9447674640127413
40-80%
precision recall f1-score support
0 0.01 0.15 0.01 169
1 1.00 0.95 0.97 65234
accuracy 0.95 65403
macro avg 0.50 0.55 0.49 65403
weighted avg 1.00 0.95 0.97 65403
Accuracy: 0.9471889668669633
80-90%
precision recall f1-score support
0 0.01 0.13 0.01 15
1 1.00 0.95 0.97 7371
accuracy 0.95 7386
macro avg 0.50 0.54 0.49 7386
weighted avg 1.00 0.95 0.97 7386
Accuracy: 0.9505821825074465
90-100%
precision recall f1-score support
0 0.02 0.28 0.03 18
1 1.00 0.95 0.97 5686
accuracy 0.95 5704
macro avg 0.51 0.61 0.50 5704
weighted avg 0.99 0.95 0.97 5704
Accuracy: 0.9481065918653576
Treshold: 0.9
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.93 0.49 0.64 26119367
1 0.61 0.95 0.74 21615229
accuracy 0.70 47734596
macro avg 0.77 0.72 0.69 47734596
weighted avg 0.78 0.70 0.69 47734596
Accuracy: 0.7020233710577545
0-1%
precision recall f1-score support
0 0.98 0.88 0.92 12053010
1 0.15 0.51 0.23 508421
accuracy 0.86 12561431
macro avg 0.56 0.69 0.58 12561431
weighted avg 0.94 0.86 0.90 12561431
Accuracy: 0.861267637421246
1-10%
precision recall f1-score support
0 0.76 0.17 0.28 13368467
1 0.55 0.95 0.70 14466820
accuracy 0.58 27835287
macro avg 0.66 0.56 0.49 27835287
weighted avg 0.65 0.58 0.50 27835287
Accuracy: 0.5768482645786982
10-20%
precision recall f1-score support
0 0.18 0.00 0.00 503365
1 0.87 1.00 0.93 3387274
accuracy 0.87 3890639
macro avg 0.53 0.50 0.47 3890639
weighted avg 0.78 0.87 0.81 3890639
Accuracy: 0.8696370956030616
20-40%
precision recall f1-score support
0 0.09 0.00 0.00 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.51 0.50 0.48 2117913
weighted avg 0.87 0.93 0.90 2117913
Accuracy: 0.9300216769999523
40-80%
precision recall f1-score support
0 0.04 0.00 0.00 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.50 0.50 0.49 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9622577188611938
80-90%
precision recall f1-score support
0 0.25 0.00 0.00 3093
1 0.98 1.00 0.99 120943
accuracy 0.98 124036
macro avg 0.61 0.50 0.49 124036
weighted avg 0.96 0.98 0.96 124036
Accuracy: 0.9750475668354349
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 0.96 99395
Accuracy: 0.9765581769706726
Treshold: 0.5
All
precision recall f1-score support
0 0.85 0.64 0.73 26119367
1 0.66 0.87 0.75 21615229
accuracy 0.74 47734596
macro avg 0.76 0.75 0.74 47734596
weighted avg 0.77 0.74 0.74 47734596
Accuracy: 0.7410362915818959
precision recall f1-score support
0 0.85 0.64 0.73 26119367
1 0.66 0.87 0.75 21615229
accuracy 0.74 47734596
macro avg 0.76 0.75 0.74 47734596
weighted avg 0.77 0.74 0.74 47734596
Accuracy: 0.7410363125310624
0-1%
precision recall f1-score support
0 0.97 0.95 0.96 12053010
1 0.19 0.26 0.22 508421
accuracy 0.93 12561431
macro avg 0.58 0.61 0.59 12561431
weighted avg 0.94 0.93 0.93 12561431
Accuracy: 0.9262706613601587
precision recall f1-score support
0 0.97 0.95 0.96 12053010
1 0.19 0.26 0.22 508421
accuracy 0.93 12561431
macro avg 0.58 0.61 0.59 12561431
weighted avg 0.94 0.93 0.93 12561431
Accuracy: 0.9262706613601587
1-10%
precision recall f1-score support
0 0.86 0.65 0.74 25421477
1 0.58 0.82 0.68 14975241
accuracy 0.71 40396718
macro avg 0.72 0.73 0.71 40396718
weighted avg 0.76 0.71 0.72 40396718
Accuracy: 0.7132826483577206
precision recall f1-score support
0 0.68 0.38 0.49 13368467
1 0.59 0.84 0.69 14466820
accuracy 0.62 27835287
macro avg 0.64 0.61 0.59 27835287
weighted avg 0.64 0.62 0.60 27835287
Accuracy: 0.6171659735356779
10-20%
precision recall f1-score support
0 0.17 0.03 0.05 503365
1 0.87 0.98 0.92 3387274
accuracy 0.86 3890639
macro avg 0.52 0.50 0.49 3890639
weighted avg 0.78 0.86 0.81 3890639
Accuracy: 0.8554936605529323
20-40%
precision recall f1-score support
0 0.85 0.64 0.73 26072330
1 0.65 0.86 0.74 20332940
accuracy 0.73 46405270
macro avg 0.75 0.75 0.73 46405270
weighted avg 0.76 0.73 0.73 46405270
Accuracy: 0.7347420454616469
precision recall f1-score support
0 0.09 0.01 0.02 147488
1 0.93 0.99 0.96 1970425
accuracy 0.92 2117913
macro avg 0.51 0.50 0.49 2117913
weighted avg 0.87 0.92 0.89 2117913
Accuracy: 0.9222324052026688
40-80%
precision recall f1-score support
0 0.85 0.64 0.73 26113946
1 0.66 0.87 0.75 21397219
accuracy 0.74 47511165
macro avg 0.76 0.75 0.74 47511165
weighted avg 0.77 0.74 0.74 47511165
Accuracy: 0.7399448950578248
precision recall f1-score support
0 0.05 0.01 0.01 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.51 0.50 0.49 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9582654772831055
80-90%
precision recall f1-score support
0 0.03 0.00 0.01 3093
1 0.98 1.00 0.99 120943
accuracy 0.97 124036
macro avg 0.50 0.50 0.50 124036
weighted avg 0.95 0.97 0.96 124036
Accuracy: 0.9721613080073527
90-100%
precision recall f1-score support
0 0.02 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.97 99395
macro avg 0.50 0.50 0.50 99395
weighted avg 0.95 0.97 0.96 99395
Accuracy: 0.9743146033502691
Treshold: 0.6
All
precision recall f1-score support
0 0.80 0.72 0.76 26119367
1 0.70 0.78 0.74 21615229
accuracy 0.75 47734596
macro avg 0.75 0.75 0.75 47734596
weighted avg 0.75 0.75 0.75 47734596
Accuracy: 0.7474979153484403
0-1%
precision recall f1-score support
0 0.96 0.98 0.97 12053010
1 0.22 0.15 0.18 508421
accuracy 0.94 12561431
macro avg 0.59 0.56 0.57 12561431
weighted avg 0.93 0.94 0.94 12561431
Accuracy: 0.9442247463684671
1-10%
precision recall f1-score support
0 0.63 0.52 0.57 13368467
1 0.62 0.72 0.67 14466820
accuracy 0.63 27835287
macro avg 0.63 0.62 0.62 27835287
weighted avg 0.63 0.63 0.62 27835287
Accuracy: 0.6252443166833523
10-20%
precision recall f1-score support
0 0.16 0.07 0.10 503365
1 0.87 0.94 0.91 3387274
accuracy 0.83 3890639
macro avg 0.51 0.51 0.50 3890639
weighted avg 0.78 0.83 0.80 3890639
Accuracy: 0.8299675194743075
20-40%
precision recall f1-score support
0 0.09 0.03 0.05 147488
1 0.93 0.97 0.95 1970425
accuracy 0.91 2117913
macro avg 0.51 0.50 0.50 2117913
weighted avg 0.87 0.91 0.89 2117913
Accuracy: 0.9069258274537245
40-80%
precision recall f1-score support
0 0.05 0.02 0.03 41616
1 0.96 0.99 0.97 1064279
accuracy 0.95 1105895
macro avg 0.51 0.50 0.50 1105895
weighted avg 0.93 0.95 0.94 1105895
Accuracy: 0.9500513159025044
80-90%
precision recall f1-score support
0 0.03 0.01 0.02 3093
1 0.98 0.99 0.98 120943
accuracy 0.97 124036
macro avg 0.50 0.50 0.50 124036
weighted avg 0.95 0.97 0.96 124036
Accuracy: 0.966880583056532
90-100%
precision recall f1-score support
0 0.03 0.01 0.01 2328
1 0.98 0.99 0.98 97067
accuracy 0.97 99395
macro avg 0.50 0.50 0.50 99395
weighted avg 0.95 0.97 0.96 99395
Accuracy: 0.9694954474571156
Treshold: 0.7
All
precision recall f1-score support
0 0.69 0.84 0.76 26119367
1 0.74 0.54 0.62 21615229
accuracy 0.70 47734596
macro avg 0.71 0.69 0.69 47734596
weighted avg 0.71 0.70 0.70 47734596
Accuracy: 0.703846723663483
0-1%
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.25 0.06 0.09 508421
accuracy 0.95 12561431
macro avg 0.60 0.52 0.53 12561431
weighted avg 0.93 0.95 0.94 12561431
Accuracy: 0.9548723389874928
1-10%
precision recall f1-score support
0 0.56 0.73 0.63 13368467
1 0.65 0.48 0.55 14466820
accuracy 0.60 27835287
macro avg 0.61 0.60 0.59 27835287
weighted avg 0.61 0.60 0.59 27835287
Accuracy: 0.5968417354561496
10-20%
precision recall f1-score support
0 0.15 0.36 0.21 503365
1 0.88 0.69 0.78 3387274
accuracy 0.65 3890639
macro avg 0.52 0.53 0.49 3890639
weighted avg 0.79 0.65 0.70 3890639
Accuracy: 0.6519402082794111
20-40%
precision recall f1-score support
0 0.08 0.33 0.13 147488
1 0.94 0.73 0.82 1970425
accuracy 0.70 2117913
macro avg 0.51 0.53 0.48 2117913
weighted avg 0.88 0.70 0.77 2117913
Accuracy: 0.7003502976751169
40-80%
precision recall f1-score support
0 0.04 0.31 0.08 41616
1 0.96 0.74 0.84 1064279
accuracy 0.73 1105895
macro avg 0.50 0.53 0.46 1105895
weighted avg 0.93 0.73 0.81 1105895
Accuracy: 0.7280835884057709
80-90%
precision recall f1-score support
0 0.03 0.30 0.05 3093
1 0.98 0.75 0.85 120943
accuracy 0.74 124036
macro avg 0.50 0.53 0.45 124036
weighted avg 0.95 0.74 0.83 124036
Accuracy: 0.7379147989293431
90-100%
precision recall f1-score support
0 0.03 0.28 0.05 2328
1 0.98 0.75 0.85 97067
accuracy 0.74 99395
macro avg 0.50 0.52 0.45 99395
weighted avg 0.96 0.74 0.83 99395
Accuracy: 0.7400573469490417
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.82 0.02 0.03 21615229
accuracy 0.55 47734596
macro avg 0.68 0.51 0.37 47734596
weighted avg 0.67 0.55 0.40 47734596
Accuracy: 0.5529226014607938
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.46 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.71 0.50 0.49 12561431
weighted avg 0.94 0.96 0.94 12561431
Accuracy: 0.9595244363480562
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.71 0.01 0.02 14466820
accuracy 0.48 27835287
macro avg 0.60 0.50 0.33 27835287
weighted avg 0.60 0.48 0.32 27835287
Accuracy: 0.4835334013261656
10-20%
precision recall f1-score support
0 0.13 0.98 0.23 503365
1 0.88 0.03 0.05 3387274
accuracy 0.15 3890639
macro avg 0.51 0.50 0.14 3890639
weighted avg 0.78 0.15 0.08 3890639
Accuracy: 0.14965665023149155
20-40%
precision recall f1-score support
0 0.07 0.97 0.13 147488
1 0.94 0.03 0.06 1970425
accuracy 0.10 2117913
macro avg 0.50 0.50 0.10 2117913
weighted avg 0.88 0.10 0.07 2117913
Accuracy: 0.09791384254216297
40-80%
precision recall f1-score support
0 0.04 0.97 0.07 41616
1 0.97 0.04 0.07 1064279
accuracy 0.07 1105895
macro avg 0.50 0.50 0.07 1105895
weighted avg 0.93 0.07 0.07 1105895
Accuracy: 0.07080057329131609
80-90%
precision recall f1-score support
0 0.03 0.97 0.05 3093
1 0.98 0.04 0.07 120943
accuracy 0.06 124036
macro avg 0.50 0.50 0.06 124036
weighted avg 0.96 0.06 0.07 124036
Accuracy: 0.06039375665129479
90-100%
precision recall f1-score support
0 0.02 0.97 0.05 2328
1 0.98 0.04 0.07 97067
accuracy 0.06 99395
macro avg 0.50 0.50 0.06 99395
weighted avg 0.96 0.06 0.07 99395
Accuracy: 0.05859449670506565
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.91 0.37 0.53 24893266
1 0.56 0.96 0.71 20563095
accuracy 0.64 45456361
macro avg 0.74 0.67 0.62 45456361
weighted avg 0.75 0.64 0.61 45456361
Accuracy: 0.6377514909299493
0-1%
precision recall f1-score support
0 1.00 0.92 0.96 4873589
1 0.01 0.77 0.02 3872
accuracy 0.92 4877461
macro avg 0.50 0.84 0.49 4877461
weighted avg 1.00 0.92 0.96 4877461
Accuracy: 0.9205190979487073
1-10%
precision recall f1-score support
0 0.89 0.27 0.42 16949103
1 0.38 0.93 0.54 8016772
accuracy 0.49 24965875
macro avg 0.64 0.60 0.48 24965875
weighted avg 0.73 0.49 0.46 24965875
Accuracy: 0.48552678406024224
10-20%
precision recall f1-score support
0 0.41 0.06 0.10 2057494
1 0.73 0.97 0.83 5461156
accuracy 0.72 7518650
macro avg 0.57 0.51 0.47 7518650
weighted avg 0.64 0.72 0.63 7518650
Accuracy: 0.718843675393854
20-40%
precision recall f1-score support
0 0.24 0.04 0.07 744974
1 0.85 0.98 0.91 4060539
accuracy 0.83 4805513
macro avg 0.54 0.51 0.49 4805513
weighted avg 0.75 0.83 0.78 4805513
Accuracy: 0.8318025567717744
40-80%
precision recall f1-score support
0 0.14 0.03 0.05 235909
1 0.91 0.98 0.95 2483775
accuracy 0.90 2719684
macro avg 0.52 0.51 0.50 2719684
weighted avg 0.85 0.90 0.87 2719684
Accuracy: 0.8997626194807926
80-90%
precision recall f1-score support
0 0.09 0.02 0.04 18577
1 0.94 0.98 0.96 296772
accuracy 0.93 315349
macro avg 0.51 0.50 0.50 315349
weighted avg 0.89 0.93 0.91 315349
Accuracy: 0.9277720874332882
90-100%
precision recall f1-score support
0 0.08 0.02 0.03 13620
1 0.95 0.98 0.97 240209
accuracy 0.93 253829
macro avg 0.51 0.50 0.50 253829
weighted avg 0.90 0.93 0.92 253829
Accuracy: 0.9331124497200871
Treshold: 0.5
All
precision recall f1-score support
0 0.81 0.54 0.65 24893266
1 0.60 0.84 0.70 20563095
accuracy 0.68 45456361
macro avg 0.71 0.69 0.68 45456361
weighted avg 0.72 0.68 0.68 45456361
Accuracy: 0.6798796982450926
precision recall f1-score support
0 0.81 0.54 0.65 24893266
1 0.60 0.84 0.70 20563095
accuracy 0.68 45456361
macro avg 0.71 0.69 0.68 45456361
weighted avg 0.72 0.68 0.68 45456361
Accuracy: 0.6798797202442141
0-1%
precision recall f1-score support
0 1.00 0.97 0.98 4873589
1 0.02 0.65 0.03 3872
accuracy 0.97 4877461
macro avg 0.51 0.81 0.51 4877461
weighted avg 1.00 0.97 0.98 4877461
Accuracy: 0.9683058460129154
precision recall f1-score support
0 1.00 0.97 0.98 4873589
1 0.02 0.65 0.03 3872
accuracy 0.97 4877461
macro avg 0.51 0.81 0.51 4877461
weighted avg 1.00 0.97 0.98 4877461
Accuracy: 0.9683058460129154
1-10%
precision recall f1-score support
0 0.85 0.48 0.61 16949103
1 0.43 0.82 0.56 8016772
accuracy 0.59 24965875
macro avg 0.64 0.65 0.59 24965875
weighted avg 0.71 0.59 0.60 24965875
Accuracy: 0.5884040114756642
precision recall f1-score support
0 0.90 0.59 0.71 21822692
1 0.42 0.82 0.56 8020644
accuracy 0.65 29843336
macro avg 0.66 0.70 0.63 29843336
weighted avg 0.77 0.65 0.67 29843336
Accuracy: 0.650493497107696
10-20%
precision recall f1-score support
0 0.86 0.56 0.68 23880186
1 0.52 0.84 0.64 13481800
accuracy 0.66 37361986
macro avg 0.69 0.70 0.66 37361986
weighted avg 0.73 0.66 0.66 37361986
Accuracy: 0.6582244048804043
precision recall f1-score support
0 0.39 0.24 0.30 2057494
1 0.75 0.86 0.80 5461156
accuracy 0.69 7518650
macro avg 0.57 0.55 0.55 7518650
weighted avg 0.65 0.69 0.66 7518650
Accuracy: 0.6889102431952545
20-40%
precision recall f1-score support
0 0.83 0.55 0.66 24625160
1 0.57 0.84 0.68 17542339
accuracy 0.67 42167499
macro avg 0.70 0.69 0.67 42167499
weighted avg 0.72 0.67 0.67 42167499
Accuracy: 0.6699554080738818
precision recall f1-score support
0 0.23 0.22 0.23 744974
1 0.86 0.86 0.86 4060539
accuracy 0.76 4805513
macro avg 0.54 0.54 0.54 4805513
weighted avg 0.76 0.76 0.76 4805513
Accuracy: 0.7611618156063671
40-80%
precision recall f1-score support
0 0.13 0.22 0.16 235909
1 0.92 0.86 0.89 2483775
accuracy 0.80 2719684
macro avg 0.52 0.54 0.53 2719684
weighted avg 0.85 0.80 0.83 2719684
Accuracy: 0.8040147311231746
precision recall f1-score support
0 0.81 0.54 0.65 24861069
1 0.60 0.84 0.70 20026114
accuracy 0.68 44887183
macro avg 0.71 0.69 0.68 44887183
weighted avg 0.72 0.68 0.67 44887183
Accuracy: 0.6780779716116291
80-90%
precision recall f1-score support
0 0.09 0.21 0.12 18577
1 0.95 0.86 0.90 296772
accuracy 0.82 315349
macro avg 0.52 0.54 0.51 315349
weighted avg 0.90 0.82 0.85 315349
Accuracy: 0.8201357860655971
90-100%
precision recall f1-score support
0 0.08 0.22 0.12 13620
1 0.95 0.86 0.90 240209
accuracy 0.82 253829
macro avg 0.52 0.54 0.51 253829
weighted avg 0.90 0.82 0.86 253829
Accuracy: 0.8242517600431787
Treshold: 0.6
All
precision recall f1-score support
0 0.77 0.65 0.70 24893266
1 0.64 0.76 0.70 20563095
accuracy 0.70 45456361
macro avg 0.70 0.70 0.70 45456361
weighted avg 0.71 0.70 0.70 45456361
Accuracy: 0.6992710877142145
0-1%
precision recall f1-score support
0 1.00 0.99 0.99 4873589
1 0.03 0.54 0.06 3872
accuracy 0.99 4877461
macro avg 0.51 0.76 0.53 4877461
weighted avg 1.00 0.99 0.99 4877461
Accuracy: 0.9858723626903424
1-10%
precision recall f1-score support
0 0.83 0.60 0.70 16949103
1 0.47 0.73 0.57 8016772
accuracy 0.65 24965875
macro avg 0.65 0.67 0.63 24965875
weighted avg 0.71 0.65 0.66 24965875
Accuracy: 0.6459158351149319
10-20%
precision recall f1-score support
0 0.38 0.37 0.37 2057494
1 0.77 0.78 0.77 5461156
accuracy 0.66 7518650
macro avg 0.57 0.57 0.57 7518650
weighted avg 0.66 0.66 0.66 7518650
Accuracy: 0.6641225485958251
20-40%
precision recall f1-score support
0 0.22 0.35 0.27 744974
1 0.87 0.78 0.82 4060539
accuracy 0.71 4805513
macro avg 0.55 0.56 0.55 4805513
weighted avg 0.77 0.71 0.74 4805513
Accuracy: 0.7119543740699484
40-80%
precision recall f1-score support
0 0.13 0.34 0.19 235909
1 0.93 0.78 0.84 2483775
accuracy 0.74 2719684
macro avg 0.53 0.56 0.52 2719684
weighted avg 0.86 0.74 0.79 2719684
Accuracy: 0.7391696976560512
80-90%
precision recall f1-score support
0 0.09 0.34 0.14 18577
1 0.95 0.77 0.85 296772
accuracy 0.75 315349
macro avg 0.52 0.56 0.50 315349
weighted avg 0.90 0.75 0.81 315349
Accuracy: 0.7485452625503807
90-100%
precision recall f1-score support
0 0.08 0.34 0.13 13620
1 0.95 0.78 0.86 240209
accuracy 0.75 253829
macro avg 0.52 0.56 0.49 253829
weighted avg 0.91 0.75 0.82 253829
Accuracy: 0.7522347722285475
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.85 0.36 0.51 22531902
1 0.52 0.92 0.66 16938696
accuracy 0.60 39470598
macro avg 0.69 0.64 0.59 39470598
weighted avg 0.71 0.60 0.58 39470598
Accuracy: 0.6008948736981385
0-1%
precision recall f1-score support
0 1.00 0.97 0.98 1549999
1 0.00 0.00 0.00 0
accuracy 0.97 1549999
macro avg 0.50 0.48 0.49 1549999
weighted avg 1.00 0.97 0.98 1549999
Accuracy: 0.9674109467167398
1-10%
precision recall f1-score support
0 0.97 0.42 0.59 11439888
1 0.15 0.90 0.25 1271288
accuracy 0.47 12711176
macro avg 0.56 0.66 0.42 12711176
weighted avg 0.89 0.47 0.56 12711176
Accuracy: 0.47123838109078187
10-20%
precision recall f1-score support
0 0.76 0.21 0.33 5044441
1 0.47 0.91 0.62 3812372
accuracy 0.51 8856813
macro avg 0.62 0.56 0.47 8856813
weighted avg 0.64 0.51 0.45 8856813
Accuracy: 0.512843954140163
20-40%
precision recall f1-score support
0 0.54 0.18 0.27 2995598
1 0.68 0.92 0.78 5583215
accuracy 0.66 8578813
macro avg 0.61 0.55 0.52 8578813
weighted avg 0.63 0.66 0.60 8578813
Accuracy: 0.6608401418704429
40-80%
precision recall f1-score support
0 0.35 0.17 0.23 1295061
1 0.81 0.92 0.86 5001564
accuracy 0.76 6296625
macro avg 0.58 0.54 0.54 6296625
weighted avg 0.72 0.76 0.73 6296625
Accuracy: 0.764922478311794
80-90%
precision recall f1-score support
0 0.26 0.17 0.20 117971
1 0.87 0.92 0.89 692761
accuracy 0.81 810732
macro avg 0.56 0.54 0.55 810732
weighted avg 0.78 0.81 0.79 810732
Accuracy: 0.808783913796421
90-100%
precision recall f1-score support
0 0.24 0.17 0.20 88944
1 0.88 0.92 0.90 577496
accuracy 0.82 666440
macro avg 0.56 0.54 0.55 666440
weighted avg 0.79 0.82 0.80 666440
Accuracy: 0.8172918792389412
Treshold: 0.5
All
precision recall f1-score support
0 0.80 0.63 0.70 22531902
1 0.61 0.79 0.69 16938696
accuracy 0.70 39470598
macro avg 0.70 0.71 0.69 39470598
weighted avg 0.72 0.70 0.70 39470598
Accuracy: 0.6950427252204286
precision recall f1-score support
0 0.80 0.63 0.70 22531902
1 0.61 0.79 0.69 16938696
accuracy 0.70 39470598
macro avg 0.70 0.71 0.69 39470598
weighted avg 0.72 0.70 0.70 39470598
Accuracy: 0.6950427252204286
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9992832253440164
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9992832253440164
1-10%
precision recall f1-score support
0 0.97 0.76 0.85 12989887
1 0.24 0.76 0.36 1271288
accuracy 0.76 14261175
macro avg 0.60 0.76 0.61 14261175
weighted avg 0.90 0.76 0.81 14261175
Accuracy: 0.7582692870678608
precision recall f1-score support
0 0.96 0.73 0.83 11439888
1 0.24 0.76 0.36 1271288
accuracy 0.73 12711176
macro avg 0.60 0.74 0.59 12711176
weighted avg 0.89 0.73 0.78 12711176
Accuracy: 0.7288800815911919
10-20%
precision recall f1-score support
0 0.92 0.68 0.78 18034328
1 0.41 0.78 0.53 5083660
accuracy 0.70 23117988
macro avg 0.66 0.73 0.66 23117988
weighted avg 0.80 0.70 0.73 23117988
Accuracy: 0.7013371578876155
precision recall f1-score support
0 0.75 0.48 0.58 5044441
1 0.53 0.78 0.63 3812372
accuracy 0.61 8856813
macro avg 0.64 0.63 0.61 8856813
weighted avg 0.65 0.61 0.60 8856813
Accuracy: 0.6096654631863628
20-40%
precision recall f1-score support
0 0.86 0.64 0.73 21029926
1 0.53 0.79 0.63 10666875
accuracy 0.69 31696801
macro avg 0.69 0.71 0.68 31696801
weighted avg 0.74 0.69 0.70 31696801
Accuracy: 0.6909201657290274
precision recall f1-score support
0 0.52 0.42 0.47 2995598
1 0.72 0.79 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: 0.6628486948019499
40-80%
precision recall f1-score support
0 0.33 0.41 0.36 1295061
1 0.84 0.79 0.81 5001564
accuracy 0.71 6296625
macro avg 0.58 0.60 0.59 6296625
weighted avg 0.73 0.71 0.72 6296625
Accuracy: 0.70798864471046
80-90%
precision recall f1-score support
0 0.24 0.40 0.30 117971
1 0.88 0.78 0.83 692761
accuracy 0.73 810732
macro avg 0.56 0.59 0.56 810732
weighted avg 0.79 0.73 0.75 810732
Accuracy: 0.7265989254155504
90-100%
precision recall f1-score support
0 0.22 0.40 0.28 88944
1 0.89 0.78 0.83 577496
accuracy 0.73 666440
macro avg 0.56 0.59 0.56 666440
weighted avg 0.80 0.73 0.76 666440
Accuracy: 0.73041384070584
Treshold: 0.6
All
precision recall f1-score support
0 0.75 0.77 0.76 22531902
1 0.68 0.65 0.67 16938696
accuracy 0.72 39470598
macro avg 0.71 0.71 0.71 39470598
weighted avg 0.72 0.72 0.72 39470598
Accuracy: 0.7205077308430949
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999799999870967
1-10%
precision recall f1-score support
0 0.95 0.86 0.90 11439888
1 0.33 0.61 0.43 1271288
accuracy 0.84 12711176
macro avg 0.64 0.74 0.66 12711176
weighted avg 0.89 0.84 0.86 12711176
Accuracy: 0.8353577198521993
10-20%
precision recall f1-score support
0 0.71 0.66 0.69 5044441
1 0.59 0.65 0.62 3812372
accuracy 0.66 8856813
macro avg 0.65 0.65 0.65 8856813
weighted avg 0.66 0.66 0.66 8856813
Accuracy: 0.6560384644002306
20-40%
precision recall f1-score support
0 0.49 0.61 0.54 2995598
1 0.76 0.66 0.70 5583215
accuracy 0.64 8578813
macro avg 0.62 0.63 0.62 8578813
weighted avg 0.66 0.64 0.65 8578813
Accuracy: 0.640384398167905
40-80%
precision recall f1-score support
0 0.30 0.58 0.40 1295061
1 0.86 0.65 0.74 5001564
accuracy 0.64 6296625
macro avg 0.58 0.62 0.57 6296625
weighted avg 0.74 0.64 0.67 6296625
Accuracy: 0.639221487701745
80-90%
precision recall f1-score support
0 0.22 0.58 0.32 117971
1 0.90 0.65 0.75 692761
accuracy 0.64 810732
macro avg 0.56 0.61 0.53 810732
weighted avg 0.80 0.64 0.69 810732
Accuracy: 0.637287044300706
90-100%
precision recall f1-score support
0 0.20 0.58 0.30 88944
1 0.91 0.65 0.76 577496
accuracy 0.64 666440
macro avg 0.55 0.61 0.53 666440
weighted avg 0.81 0.64 0.69 666440
Accuracy: 0.6373702058699958
Treshold: 0.7
All
precision recall f1-score support
0 0.67 0.91 0.77 22531902
1 0.77 0.40 0.53 16938696
accuracy 0.69 39470598
macro avg 0.72 0.66 0.65 39470598
weighted avg 0.71 0.69 0.67 39470598
Accuracy: 0.6930358643160157
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.93 0.96 0.95 11439888
1 0.52 0.36 0.43 1271288
accuracy 0.90 12711176
macro avg 0.73 0.66 0.69 12711176
weighted avg 0.89 0.90 0.89 12711176
Accuracy: 0.903030765996789
10-20%
precision recall f1-score support
0 0.65 0.87 0.75 5044441
1 0.69 0.40 0.50 3812372
accuracy 0.66 8856813
macro avg 0.67 0.63 0.62 8856813
weighted avg 0.67 0.66 0.64 8856813
Accuracy: 0.6643726134897507
20-40%
precision recall f1-score support
0 0.42 0.81 0.56 2995598
1 0.80 0.41 0.54 5583215
accuracy 0.55 8578813
macro avg 0.61 0.61 0.55 8578813
weighted avg 0.67 0.55 0.55 8578813
Accuracy: 0.5504544742961526
40-80%
precision recall f1-score support
0 0.25 0.78 0.38 1295061
1 0.88 0.41 0.56 5001564
accuracy 0.48 6296625
macro avg 0.57 0.59 0.47 6296625
weighted avg 0.75 0.48 0.52 6296625
Accuracy: 0.48422305600222343
80-90%
precision recall f1-score support
0 0.18 0.77 0.29 117971
1 0.91 0.40 0.56 692761
accuracy 0.46 810732
macro avg 0.54 0.58 0.42 810732
weighted avg 0.80 0.46 0.52 810732
Accuracy: 0.45620007598071866
90-100%
precision recall f1-score support
0 0.16 0.76 0.27 88944
1 0.92 0.40 0.56 577496
accuracy 0.45 666440
macro avg 0.54 0.58 0.42 666440
weighted avg 0.82 0.45 0.52 666440
Accuracy: 0.4511448892623492
Treshold: 0.8
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
LR_8_decay_vtime
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.84 0.23 0.37 28055468
1 0.49 0.94 0.64 21729815
accuracy 0.54 49785283
macro avg 0.66 0.59 0.50 49785283
weighted avg 0.68 0.54 0.49 49785283
Accuracy: 0.5427700792621788
0-1%
precision recall f1-score support
0 0.87 0.24 0.37 27764588
1 0.43 0.94 0.59 17098553
accuracy 0.50 44863141
macro avg 0.65 0.59 0.48 44863141
weighted avg 0.70 0.50 0.45 44863141
Accuracy: 0.5044548262904731
1-10%
precision recall f1-score support
0 0.08 0.07 0.07 287564
1 0.94 0.94 0.94 4164787
accuracy 0.89 4452351
macro avg 0.51 0.51 0.51 4452351
weighted avg 0.88 0.89 0.88 4452351
Accuracy: 0.8872907818813027
10-20%
precision recall f1-score support
0 0.01 0.08 0.02 2455
1 0.99 0.94 0.97 257616
accuracy 0.93 260071
macro avg 0.50 0.51 0.49 260071
weighted avg 0.98 0.93 0.96 260071
Accuracy: 0.9342102733484318
20-40%
precision recall f1-score support
0 0.01 0.10 0.02 659
1 1.00 0.94 0.97 130568
accuracy 0.94 131227
macro avg 0.50 0.52 0.49 131227
weighted avg 0.99 0.94 0.96 131227
Accuracy: 0.9394179551464257
40-80%
precision recall f1-score support
0 0.01 0.16 0.01 169
1 1.00 0.94 0.97 65234
accuracy 0.94 65403
macro avg 0.50 0.55 0.49 65403
weighted avg 1.00 0.94 0.97 65403
Accuracy: 0.9396205067045854
80-90%
precision recall f1-score support
0 0.00 0.13 0.01 15
1 1.00 0.94 0.97 7371
accuracy 0.94 7386
macro avg 0.50 0.54 0.49 7386
weighted avg 1.00 0.94 0.97 7386
Accuracy: 0.9406986190089358
90-100%
precision recall f1-score support
0 0.02 0.28 0.03 18
1 1.00 0.94 0.97 5686
accuracy 0.94 5704
macro avg 0.51 0.61 0.50 5704
weighted avg 0.99 0.94 0.97 5704
Accuracy: 0.9403927068723703
Treshold: 0.5
All
precision recall f1-score support
0 0.74 0.52 0.61 28055468
1 0.55 0.77 0.64 21729815
accuracy 0.63 49785283
macro avg 0.65 0.64 0.63 49785283
weighted avg 0.66 0.63 0.63 49785283
Accuracy: 0.6286199076140634
precision recall f1-score support
0 0.74 0.52 0.61 28055468
1 0.55 0.77 0.64 21729815
accuracy 0.63 49785283
macro avg 0.65 0.64 0.63 49785283
weighted avg 0.66 0.63 0.63 49785283
Accuracy: 0.6286199076140634
0-1%
precision recall f1-score support
0 0.79 0.52 0.63 27764588
1 0.50 0.77 0.60 17098553
accuracy 0.62 44863141
macro avg 0.64 0.64 0.62 44863141
weighted avg 0.68 0.62 0.62 44863141
Accuracy: 0.615548764184835
precision recall f1-score support
0 0.79 0.52 0.63 27764588
1 0.50 0.77 0.60 17098553
accuracy 0.62 44863141
macro avg 0.64 0.64 0.62 44863141
weighted avg 0.68 0.62 0.62 44863141
Accuracy: 0.615548764184835
1-10%
precision recall f1-score support
0 0.07 0.24 0.11 287564
1 0.94 0.78 0.85 4164787
accuracy 0.75 4452351
macro avg 0.50 0.51 0.48 4452351
weighted avg 0.88 0.75 0.80 4452351
Accuracy: 0.7451294832774864
precision recall f1-score support
0 0.75 0.52 0.61 28052152
1 0.55 0.77 0.64 21263340
accuracy 0.63 49315492
macro avg 0.65 0.64 0.63 49315492
weighted avg 0.66 0.63 0.62 49315492
Accuracy: 0.6272477013916844
10-20%
precision recall f1-score support
0 0.75 0.52 0.61 28054607
1 0.55 0.77 0.64 21520956
accuracy 0.63 49575563
macro avg 0.65 0.64 0.63 49575563
weighted avg 0.66 0.63 0.63 49575563
Accuracy: 0.627999322972893
precision recall f1-score support
0 0.01 0.25 0.02 2455
1 0.99 0.78 0.87 257616
accuracy 0.77 260071
macro avg 0.50 0.51 0.44 260071
weighted avg 0.98 0.77 0.86 260071
Accuracy: 0.7705242030061021
20-40%
precision recall f1-score support
0 0.75 0.52 0.61 28055266
1 0.55 0.77 0.64 21651524
accuracy 0.63 49706790
macro avg 0.65 0.64 0.63 49706790
weighted avg 0.66 0.63 0.63 49706790
Accuracy: 0.6283882342834852
precision recall f1-score support
0 0.01 0.28 0.01 659
1 1.00 0.78 0.87 130568
accuracy 0.78 131227
macro avg 0.50 0.53 0.44 131227
weighted avg 0.99 0.78 0.87 131227
Accuracy: 0.7753130072317435
40-80%
precision recall f1-score support
0 0.75 0.52 0.61 28055435
1 0.55 0.77 0.64 21716758
accuracy 0.63 49772193
macro avg 0.65 0.64 0.63 49772193
weighted avg 0.66 0.63 0.63 49772193
Accuracy: 0.6285807418612236
precision recall f1-score support
0 0.00 0.28 0.01 169
1 1.00 0.78 0.87 65234
accuracy 0.77 65403
macro avg 0.50 0.53 0.44 65403
weighted avg 1.00 0.77 0.87 65403
Accuracy: 0.7748880020794153
80-90%
precision recall f1-score support
0 0.00 0.33 0.01 15
1 1.00 0.77 0.87 7371
accuracy 0.77 7386
macro avg 0.50 0.55 0.44 7386
weighted avg 1.00 0.77 0.87 7386
Accuracy: 0.7705117790414298
90-100%
precision recall f1-score support
0 0.00 0.33 0.01 18
1 1.00 0.79 0.88 5686
accuracy 0.79 5704
macro avg 0.50 0.56 0.45 5704
weighted avg 0.99 0.79 0.88 5704
Accuracy: 0.7866409537166901
Treshold: 0.6
All
precision recall f1-score support
0 0.66 0.76 0.71 28055468
1 0.61 0.49 0.54 21729815
accuracy 0.64 49785283
macro avg 0.64 0.63 0.63 49785283
weighted avg 0.64 0.64 0.64 49785283
Accuracy: 0.6429305021727003
0-1%
precision recall f1-score support
0 0.71 0.77 0.73 27764588
1 0.56 0.48 0.52 17098553
accuracy 0.66 44863141
macro avg 0.63 0.62 0.63 44863141
weighted avg 0.65 0.66 0.65 44863141
Accuracy: 0.6570415566756683
1-10%
precision recall f1-score support
0 0.07 0.50 0.12 287564
1 0.94 0.52 0.66 4164787
accuracy 0.51 4452351
macro avg 0.50 0.51 0.39 4452351
weighted avg 0.88 0.51 0.63 4452351
Accuracy: 0.5141369132846894
10-20%
precision recall f1-score support
0 0.01 0.49 0.02 2455
1 0.99 0.52 0.68 257616
accuracy 0.52 260071
macro avg 0.50 0.50 0.35 260071
weighted avg 0.98 0.52 0.67 260071
Accuracy: 0.5153631123808499
20-40%
precision recall f1-score support
0 0.01 0.54 0.01 659
1 1.00 0.52 0.68 130568
accuracy 0.52 131227
macro avg 0.50 0.53 0.35 131227
weighted avg 0.99 0.52 0.68 131227
Accuracy: 0.5159685125774421
40-80%
precision recall f1-score support
0 0.00 0.51 0.01 169
1 1.00 0.52 0.68 65234
accuracy 0.52 65403
macro avg 0.50 0.51 0.34 65403
weighted avg 0.99 0.52 0.68 65403
Accuracy: 0.5182178187544914
80-90%
precision recall f1-score support
0 0.00 0.33 0.00 15
1 1.00 0.51 0.68 7371
accuracy 0.51 7386
macro avg 0.50 0.42 0.34 7386
weighted avg 1.00 0.51 0.68 7386
Accuracy: 0.5139453019225562
90-100%
precision recall f1-score support
0 0.00 0.56 0.01 18
1 1.00 0.52 0.69 5686
accuracy 0.52 5704
macro avg 0.50 0.54 0.35 5704
weighted avg 0.99 0.52 0.68 5704
Accuracy: 0.5227910238429172
Treshold: 0.7
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.8
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.9
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.83 0.28 0.42 26119367
1 0.52 0.93 0.66 21615229
accuracy 0.57 47734596
macro avg 0.67 0.60 0.54 47734596
weighted avg 0.69 0.57 0.53 47734596
Accuracy: 0.5741434158152297
0-1%
precision recall f1-score support
0 0.99 0.45 0.62 12053010
1 0.06 0.91 0.12 508421
accuracy 0.47 12561431
macro avg 0.53 0.68 0.37 12561431
weighted avg 0.95 0.47 0.60 12561431
Accuracy: 0.4651880824724508
1-10%
precision recall f1-score support
0 0.65 0.14 0.23 13368467
1 0.54 0.93 0.68 14466820
accuracy 0.55 27835287
macro avg 0.59 0.53 0.46 27835287
weighted avg 0.59 0.55 0.47 27835287
Accuracy: 0.550356100154455
10-20%
precision recall f1-score support
0 0.18 0.10 0.13 503365
1 0.87 0.93 0.90 3387274
accuracy 0.82 3890639
macro avg 0.53 0.52 0.52 3890639
weighted avg 0.79 0.82 0.80 3890639
Accuracy: 0.8233698885967061
20-40%
precision recall f1-score support
0 0.10 0.11 0.10 147488
1 0.93 0.93 0.93 1970425
accuracy 0.87 2117913
macro avg 0.52 0.52 0.52 2117913
weighted avg 0.87 0.87 0.87 2117913
Accuracy: 0.8715792386183946
40-80%
precision recall f1-score support
0 0.06 0.11 0.08 41616
1 0.96 0.93 0.95 1064279
accuracy 0.90 1105895
macro avg 0.51 0.52 0.51 1105895
weighted avg 0.93 0.90 0.91 1105895
Accuracy: 0.8967117131373231
80-90%
precision recall f1-score support
0 0.04 0.12 0.06 3093
1 0.98 0.93 0.95 120943
accuracy 0.91 124036
macro avg 0.51 0.53 0.51 124036
weighted avg 0.95 0.91 0.93 124036
Accuracy: 0.9065110129317295
90-100%
precision recall f1-score support
0 0.04 0.12 0.06 2328
1 0.98 0.93 0.95 97067
accuracy 0.91 99395
macro avg 0.51 0.52 0.51 99395
weighted avg 0.96 0.91 0.93 99395
Accuracy: 0.9083253684792998
Treshold: 0.5
All
precision recall f1-score support
0 0.74 0.58 0.65 26119367
1 0.60 0.76 0.67 21615229
accuracy 0.66 47734596
macro avg 0.67 0.67 0.66 47734596
weighted avg 0.68 0.66 0.66 47734596
Accuracy: 0.6590226300438365
precision recall f1-score support
0 0.74 0.58 0.65 26119367
1 0.60 0.76 0.67 21615229
accuracy 0.66 47734596
macro avg 0.67 0.67 0.66 47734596
weighted avg 0.68 0.66 0.66 47734596
Accuracy: 0.6590226300438365
0-1%
precision recall f1-score support
0 0.98 0.78 0.87 12053010
1 0.12 0.70 0.20 508421
accuracy 0.78 12561431
macro avg 0.55 0.74 0.54 12561431
weighted avg 0.95 0.78 0.84 12561431
Accuracy: 0.7775252676227732
precision recall f1-score support
0 0.98 0.78 0.87 12053010
1 0.12 0.70 0.20 508421
accuracy 0.78 12561431
macro avg 0.55 0.74 0.54 12561431
weighted avg 0.95 0.78 0.84 12561431
Accuracy: 0.7775252676227732
1-10%
precision recall f1-score support
0 0.80 0.59 0.68 25421477
1 0.52 0.76 0.61 14975241
accuracy 0.65 40396718
macro avg 0.66 0.67 0.65 40396718
weighted avg 0.70 0.65 0.65 40396718
Accuracy: 0.6483005129278077
precision recall f1-score support
0 0.61 0.41 0.49 13368467
1 0.58 0.76 0.66 14466820
accuracy 0.59 27835287
macro avg 0.59 0.58 0.57 27835287
weighted avg 0.59 0.59 0.58 27835287
Accuracy: 0.5899843245733374
10-20%
precision recall f1-score support
0 0.16 0.31 0.21 503365
1 0.88 0.76 0.82 3387274
accuracy 0.71 3890639
macro avg 0.52 0.54 0.52 3890639
weighted avg 0.79 0.71 0.74 3890639
Accuracy: 0.7052293980500376
20-40%
precision recall f1-score support
0 0.75 0.58 0.65 26072330
1 0.58 0.76 0.66 20332940
accuracy 0.66 46405270
macro avg 0.67 0.67 0.66 46405270
weighted avg 0.68 0.66 0.66 46405270
Accuracy: 0.656706856785878
precision recall f1-score support
0 0.09 0.31 0.14 147488
1 0.94 0.76 0.84 1970425
accuracy 0.73 2117913
macro avg 0.51 0.53 0.49 2117913
weighted avg 0.88 0.73 0.79 2117913
Accuracy: 0.7279113920165748
40-80%
precision recall f1-score support
0 0.74 0.58 0.65 26113946
1 0.60 0.76 0.67 21397219
accuracy 0.66 47511165
macro avg 0.67 0.67 0.66 47511165
weighted avg 0.68 0.66 0.66 47511165
Accuracy: 0.6586280929966672
precision recall f1-score support
0 0.05 0.31 0.08 41616
1 0.97 0.76 0.85 1064279
accuracy 0.74 1105895
macro avg 0.51 0.53 0.47 1105895
weighted avg 0.93 0.74 0.82 1105895
Accuracy: 0.7392464926597914
80-90%
precision recall f1-score support
0 0.03 0.32 0.06 3093
1 0.98 0.75 0.85 120943
accuracy 0.74 124036
macro avg 0.51 0.54 0.45 124036
weighted avg 0.95 0.74 0.83 124036
Accuracy: 0.7423328711019381
90-100%
precision recall f1-score support
0 0.03 0.31 0.05 2328
1 0.98 0.75 0.85 97067
accuracy 0.74 99395
macro avg 0.50 0.53 0.45 99395
weighted avg 0.96 0.74 0.83 99395
Accuracy: 0.7436490769153378
Treshold: 0.6
All
precision recall f1-score support
0 0.67 0.76 0.71 26119367
1 0.65 0.56 0.60 21615229
accuracy 0.67 47734596
macro avg 0.66 0.66 0.66 47734596
weighted avg 0.66 0.67 0.66 47734596
Accuracy: 0.6658257042753646
0-1%
precision recall f1-score support
0 0.98 0.91 0.94 12053010
1 0.19 0.49 0.28 508421
accuracy 0.90 12561431
macro avg 0.59 0.70 0.61 12561431
weighted avg 0.95 0.90 0.92 12561431
Accuracy: 0.8971429290181987
1-10%
precision recall f1-score support
0 0.57 0.63 0.59 13368467
1 0.62 0.56 0.58 14466820
accuracy 0.59 27835287
macro avg 0.59 0.59 0.59 27835287
weighted avg 0.59 0.59 0.59 27835287
Accuracy: 0.5894819766004209
10-20%
precision recall f1-score support
0 0.14 0.49 0.22 503365
1 0.88 0.57 0.69 3387274
accuracy 0.56 3890639
macro avg 0.51 0.53 0.46 3890639
weighted avg 0.79 0.56 0.63 3890639
Accuracy: 0.5590942773153715
20-40%
precision recall f1-score support
0 0.08 0.49 0.13 147488
1 0.94 0.57 0.71 1970425
accuracy 0.56 2117913
macro avg 0.51 0.53 0.42 2117913
weighted avg 0.88 0.56 0.67 2117913
Accuracy: 0.5598851322032586
40-80%
precision recall f1-score support
0 0.04 0.49 0.08 41616
1 0.97 0.56 0.71 1064279
accuracy 0.56 1105895
macro avg 0.50 0.53 0.39 1105895
weighted avg 0.93 0.56 0.69 1105895
Accuracy: 0.5599509899221897
80-90%
precision recall f1-score support
0 0.03 0.50 0.05 3093
1 0.98 0.56 0.71 120943
accuracy 0.56 124036
macro avg 0.50 0.53 0.38 124036
weighted avg 0.95 0.56 0.70 124036
Accuracy: 0.5590151246412332
90-100%
precision recall f1-score support
0 0.03 0.48 0.05 2328
1 0.98 0.56 0.71 97067
accuracy 0.56 99395
macro avg 0.50 0.52 0.38 99395
weighted avg 0.96 0.56 0.70 99395
Accuracy: 0.5585291010614216
Treshold: 0.7
All
precision recall f1-score support
0 0.58 0.95 0.72 26119367
1 0.72 0.16 0.27 21615229
accuracy 0.59 47734596
macro avg 0.65 0.56 0.49 47734596
weighted avg 0.64 0.59 0.51 47734596
Accuracy: 0.5930795978665033
0-1%
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.41 0.14 0.21 508421
accuracy 0.96 12561431
macro avg 0.69 0.56 0.59 12561431
weighted avg 0.94 0.96 0.95 12561431
Accuracy: 0.9569498889099498
1-10%
precision recall f1-score support
0 0.50 0.91 0.65 13368467
1 0.67 0.16 0.26 14466820
accuracy 0.52 27835287
macro avg 0.58 0.54 0.45 27835287
weighted avg 0.59 0.52 0.45 27835287
Accuracy: 0.5221420206660704
10-20%
precision recall f1-score support
0 0.13 0.85 0.23 503365
1 0.88 0.17 0.29 3387274
accuracy 0.26 3890639
macro avg 0.51 0.51 0.26 3890639
weighted avg 0.79 0.26 0.28 3890639
Accuracy: 0.2614686173659391
20-40%
precision recall f1-score support
0 0.07 0.84 0.13 147488
1 0.94 0.18 0.30 1970425
accuracy 0.22 2117913
macro avg 0.50 0.51 0.21 2117913
weighted avg 0.88 0.22 0.29 2117913
Accuracy: 0.22299310689343707
40-80%
precision recall f1-score support
0 0.04 0.85 0.07 41616
1 0.97 0.18 0.30 1064279
accuracy 0.20 1105895
macro avg 0.50 0.51 0.19 1105895
weighted avg 0.93 0.20 0.29 1105895
Accuracy: 0.20169093810895247
80-90%
precision recall f1-score support
0 0.03 0.85 0.05 3093
1 0.98 0.18 0.30 120943
accuracy 0.19 124036
macro avg 0.50 0.51 0.18 124036
weighted avg 0.95 0.19 0.30 124036
Accuracy: 0.1948305330710439
90-100%
precision recall f1-score support
0 0.02 0.84 0.05 2328
1 0.98 0.18 0.30 97067
accuracy 0.19 99395
macro avg 0.50 0.51 0.17 99395
weighted avg 0.96 0.19 0.29 99395
Accuracy: 0.19122692288344484
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.83 0.31 0.45 24893266
1 0.53 0.92 0.67 20563095
accuracy 0.59 45456361
macro avg 0.68 0.62 0.56 45456361
weighted avg 0.69 0.59 0.55 45456361
Accuracy: 0.588633216812054
0-1%
precision recall f1-score support
0 1.00 0.72 0.84 4873589
1 0.00 0.91 0.01 3872
accuracy 0.72 4877461
macro avg 0.50 0.81 0.42 4877461
weighted avg 1.00 0.72 0.83 4877461
Accuracy: 0.7169957894076446
1-10%
precision recall f1-score support
0 0.86 0.23 0.36 16949103
1 0.36 0.92 0.52 8016772
accuracy 0.45 24965875
macro avg 0.61 0.57 0.44 24965875
weighted avg 0.70 0.45 0.41 24965875
Accuracy: 0.4506641165190485
10-20%
precision recall f1-score support
0 0.40 0.13 0.20 2057494
1 0.74 0.93 0.82 5461156
accuracy 0.71 7518650
macro avg 0.57 0.53 0.51 7518650
weighted avg 0.65 0.71 0.65 7518650
Accuracy: 0.7092088340327053
20-40%
precision recall f1-score support
0 0.24 0.13 0.17 744974
1 0.85 0.93 0.89 4060539
accuracy 0.80 4805513
macro avg 0.55 0.53 0.53 4805513
weighted avg 0.76 0.80 0.78 4805513
Accuracy: 0.8017901522688629
40-80%
precision recall f1-score support
0 0.14 0.13 0.14 235909
1 0.92 0.92 0.92 2483775
accuracy 0.85 2719684
macro avg 0.53 0.53 0.53 2719684
weighted avg 0.85 0.85 0.85 2719684
Accuracy: 0.8546268610617999
80-90%
precision recall f1-score support
0 0.10 0.14 0.11 18577
1 0.94 0.92 0.93 296772
accuracy 0.88 315349
macro avg 0.52 0.53 0.52 315349
weighted avg 0.89 0.88 0.88 315349
Accuracy: 0.8751193122540424
90-100%
precision recall f1-score support
0 0.09 0.14 0.11 13620
1 0.95 0.92 0.94 240209
accuracy 0.88 253829
macro avg 0.52 0.53 0.52 253829
weighted avg 0.90 0.88 0.89 253829
Accuracy: 0.8793006315275245
Treshold: 0.5
All
precision recall f1-score support
0 0.76 0.60 0.67 24893266
1 0.61 0.77 0.68 20563095
accuracy 0.68 45456361
macro avg 0.69 0.68 0.68 45456361
weighted avg 0.69 0.68 0.67 45456361
Accuracy: 0.6755559249452459
precision recall f1-score support
0 0.76 0.60 0.67 24893266
1 0.61 0.77 0.68 20563095
accuracy 0.68 45456361
macro avg 0.69 0.68 0.68 45456361
weighted avg 0.69 0.68 0.67 45456361
Accuracy: 0.6755559249452459
0-1%
precision recall f1-score support
0 1.00 0.95 0.97 4873589
1 0.01 0.71 0.02 3872
accuracy 0.95 4877461
macro avg 0.51 0.83 0.50 4877461
weighted avg 1.00 0.95 0.97 4877461
Accuracy: 0.9479493531573087
precision recall f1-score support
0 1.00 0.95 0.97 4873589
1 0.01 0.71 0.02 3872
accuracy 0.95 4877461
macro avg 0.51 0.83 0.50 4877461
weighted avg 1.00 0.95 0.97 4877461
Accuracy: 0.9479493531573087
1-10%
precision recall f1-score support
0 0.83 0.54 0.66 16949103
1 0.44 0.76 0.56 8016772
accuracy 0.61 24965875
macro avg 0.63 0.65 0.61 24965875
weighted avg 0.70 0.61 0.62 24965875
Accuracy: 0.6124436255488742
precision recall f1-score support
0 0.88 0.63 0.74 21822692
1 0.43 0.76 0.55 8020644
accuracy 0.67 29843336
macro avg 0.66 0.70 0.64 29843336
weighted avg 0.76 0.67 0.69 29843336
Accuracy: 0.667277177055541
10-20%
precision recall f1-score support
0 0.82 0.61 0.70 23880186
1 0.53 0.77 0.62 13481800
accuracy 0.67 37361986
macro avg 0.67 0.69 0.66 37361986
weighted avg 0.72 0.67 0.67 37361986
Accuracy: 0.6666577360207779
precision recall f1-score support
0 0.38 0.37 0.37 2057494
1 0.77 0.78 0.77 5461156
accuracy 0.66 7518650
macro avg 0.57 0.57 0.57 7518650
weighted avg 0.66 0.66 0.66 7518650
Accuracy: 0.6641990250909405
20-40%
precision recall f1-score support
0 0.78 0.60 0.68 24625160
1 0.58 0.77 0.66 17542339
accuracy 0.67 42167499
macro avg 0.68 0.69 0.67 42167499
weighted avg 0.70 0.67 0.67 42167499
Accuracy: 0.6712240865885833
precision recall f1-score support
0 0.22 0.36 0.27 744974
1 0.87 0.77 0.82 4060539
accuracy 0.71 4805513
macro avg 0.54 0.56 0.54 4805513
weighted avg 0.77 0.71 0.73 4805513
Accuracy: 0.7067266283537262
40-80%
precision recall f1-score support
0 0.13 0.35 0.19 235909
1 0.93 0.77 0.84 2483775
accuracy 0.73 2719684
macro avg 0.53 0.56 0.51 2719684
weighted avg 0.86 0.73 0.78 2719684
Accuracy: 0.7295781421665164
precision recall f1-score support
0 0.76 0.60 0.67 24861069
1 0.61 0.77 0.68 20026114
accuracy 0.67 44887183
macro avg 0.68 0.68 0.67 44887183
weighted avg 0.69 0.67 0.67 44887183
Accuracy: 0.6747597192722029
80-90%
precision recall f1-score support
0 0.09 0.36 0.14 18577
1 0.95 0.76 0.84 296772
accuracy 0.74 315349
macro avg 0.52 0.56 0.49 315349
weighted avg 0.90 0.74 0.80 315349
Accuracy: 0.7371325103298251
90-100%
precision recall f1-score support
0 0.08 0.36 0.13 13620
1 0.95 0.76 0.85 240209
accuracy 0.74 253829
macro avg 0.52 0.56 0.49 253829
weighted avg 0.91 0.74 0.81 253829
Accuracy: 0.7398563599903872
Treshold: 0.6
All
precision recall f1-score support
0 0.69 0.76 0.73 24893266
1 0.67 0.60 0.63 20563095
accuracy 0.69 45456361
macro avg 0.68 0.68 0.68 45456361
weighted avg 0.68 0.69 0.68 45456361
Accuracy: 0.6853808425183882
0-1%
precision recall f1-score support
0 1.00 0.99 0.99 4873589
1 0.04 0.53 0.07 3872
accuracy 0.99 4877461
macro avg 0.52 0.76 0.53 4877461
weighted avg 1.00 0.99 0.99 4877461
Accuracy: 0.9888275887803101
1-10%
precision recall f1-score support
0 0.79 0.73 0.76 16949103
1 0.51 0.59 0.55 8016772
accuracy 0.69 24965875
macro avg 0.65 0.66 0.65 24965875
weighted avg 0.70 0.69 0.69 24965875
Accuracy: 0.6864149964701818
10-20%
precision recall f1-score support
0 0.34 0.53 0.42 2057494
1 0.78 0.61 0.68 5461156
accuracy 0.59 7518650
macro avg 0.56 0.57 0.55 7518650
weighted avg 0.66 0.59 0.61 7518650
Accuracy: 0.5878621827056719
20-40%
precision recall f1-score support
0 0.19 0.51 0.28 744974
1 0.87 0.60 0.71 4060539
accuracy 0.59 4805513
macro avg 0.53 0.56 0.50 4805513
weighted avg 0.77 0.59 0.65 4805513
Accuracy: 0.5900872601946973
40-80%
precision recall f1-score support
0 0.11 0.51 0.18 235909
1 0.93 0.60 0.73 2483775
accuracy 0.59 2719684
macro avg 0.52 0.55 0.45 2719684
weighted avg 0.86 0.59 0.68 2719684
Accuracy: 0.5899218438612721
80-90%
precision recall f1-score support
0 0.07 0.51 0.13 18577
1 0.95 0.59 0.73 296772
accuracy 0.59 315349
macro avg 0.51 0.55 0.43 315349
weighted avg 0.90 0.59 0.70 315349
Accuracy: 0.5883291210690378
90-100%
precision recall f1-score support
0 0.07 0.51 0.12 13620
1 0.96 0.59 0.73 240209
accuracy 0.59 253829
macro avg 0.51 0.55 0.42 253829
weighted avg 0.91 0.59 0.70 253829
Accuracy: 0.5888531255293918
Treshold: 0.7
All
precision recall f1-score support
0 0.60 0.93 0.73 24893266
1 0.74 0.26 0.38 20563095
accuracy 0.62 45456361
macro avg 0.67 0.59 0.56 45456361
weighted avg 0.67 0.62 0.57 45456361
Accuracy: 0.6245204274050886
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.25 0.21 0.23 3872
accuracy 1.00 4877461
macro avg 0.62 0.61 0.61 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9988557571244547
1-10%
precision recall f1-score support
0 0.72 0.93 0.81 16949103
1 0.62 0.25 0.35 8016772
accuracy 0.71 24965875
macro avg 0.67 0.59 0.58 24965875
weighted avg 0.69 0.71 0.66 24965875
Accuracy: 0.7089028123388426
10-20%
precision recall f1-score support
0 0.29 0.81 0.43 2057494
1 0.79 0.27 0.40 5461156
accuracy 0.42 7518650
macro avg 0.54 0.54 0.41 7518650
weighted avg 0.65 0.42 0.41 7518650
Accuracy: 0.4150061513702593
20-40%
precision recall f1-score support
0 0.17 0.79 0.27 744974
1 0.87 0.27 0.41 4060539
accuracy 0.35 4805513
macro avg 0.52 0.53 0.34 4805513
weighted avg 0.76 0.35 0.39 4805513
Accuracy: 0.34924325457032374
40-80%
precision recall f1-score support
0 0.09 0.79 0.17 235909
1 0.93 0.27 0.42 2483775
accuracy 0.31 2719684
macro avg 0.51 0.53 0.29 2719684
weighted avg 0.86 0.31 0.39 2719684
Accuracy: 0.3129749632677914
80-90%
precision recall f1-score support
0 0.06 0.79 0.12 18577
1 0.95 0.27 0.42 296772
accuracy 0.30 315349
macro avg 0.51 0.53 0.27 315349
weighted avg 0.90 0.30 0.40 315349
Accuracy: 0.2969218231229527
90-100%
precision recall f1-score support
0 0.06 0.79 0.11 13620
1 0.96 0.27 0.42 240209
accuracy 0.29 253829
macro avg 0.51 0.53 0.26 253829
weighted avg 0.91 0.29 0.40 253829
Accuracy: 0.2945329335891486
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.85 0.37 0.51 22531902
1 0.52 0.92 0.66 16938696
accuracy 0.60 39470598
macro avg 0.69 0.64 0.59 39470598
weighted avg 0.71 0.60 0.58 39470598
Accuracy: 0.6019079822403501
0-1%
precision recall f1-score support
0 1.00 0.97 0.98 1549999
1 0.00 0.00 0.00 0
accuracy 0.97 1549999
macro avg 0.50 0.48 0.49 1549999
weighted avg 1.00 0.97 0.98 1549999
Accuracy: 0.9668083656828166
1-10%
precision recall f1-score support
0 0.97 0.43 0.59 11439888
1 0.15 0.90 0.26 1271288
accuracy 0.47 12711176
macro avg 0.56 0.66 0.42 12711176
weighted avg 0.89 0.47 0.56 12711176
Accuracy: 0.4740468545160574
10-20%
precision recall f1-score support
0 0.76 0.21 0.33 5044441
1 0.47 0.91 0.62 3812372
accuracy 0.51 8856813
macro avg 0.62 0.56 0.48 8856813
weighted avg 0.64 0.51 0.46 8856813
Accuracy: 0.5139180425283902
20-40%
precision recall f1-score support
0 0.54 0.18 0.27 2995598
1 0.68 0.92 0.78 5583215
accuracy 0.66 8578813
macro avg 0.61 0.55 0.52 8578813
weighted avg 0.63 0.66 0.60 8578813
Accuracy: 0.6609094987849717
40-80%
precision recall f1-score support
0 0.35 0.17 0.23 1295061
1 0.81 0.92 0.86 5001564
accuracy 0.76 6296625
macro avg 0.58 0.54 0.55 6296625
weighted avg 0.72 0.76 0.73 6296625
Accuracy: 0.7643448672900165
80-90%
precision recall f1-score support
0 0.26 0.17 0.21 117971
1 0.87 0.92 0.89 692761
accuracy 0.81 810732
macro avg 0.56 0.54 0.55 810732
weighted avg 0.78 0.81 0.79 810732
Accuracy: 0.8079525663227799
90-100%
precision recall f1-score support
0 0.24 0.17 0.20 88944
1 0.88 0.92 0.90 577496
accuracy 0.82 666440
macro avg 0.56 0.54 0.55 666440
weighted avg 0.79 0.82 0.80 666440
Accuracy: 0.8164305863993758
Treshold: 0.5
All
precision recall f1-score support
0 0.79 0.63 0.70 22531902
1 0.61 0.78 0.69 16938696
accuracy 0.70 39470598
macro avg 0.70 0.71 0.70 39470598
weighted avg 0.72 0.70 0.70 39470598
Accuracy: 0.6961702480413395
precision recall f1-score support
0 0.79 0.63 0.70 22531902
1 0.61 0.78 0.69 16938696
accuracy 0.70 39470598
macro avg 0.70 0.71 0.70 39470598
weighted avg 0.72 0.70 0.70 39470598
Accuracy: 0.6961702480413395
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9993316124720081
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9993316124720081
1-10%
precision recall f1-score support
0 0.97 0.76 0.85 12989887
1 0.24 0.76 0.36 1271288
accuracy 0.76 14261175
macro avg 0.60 0.76 0.61 14261175
weighted avg 0.90 0.76 0.81 14261175
Accuracy: 0.7610588187859696
precision recall f1-score support
0 0.96 0.73 0.83 11439888
1 0.24 0.76 0.36 1271288
accuracy 0.73 12711176
macro avg 0.60 0.74 0.60 12711176
weighted avg 0.89 0.73 0.78 12711176
Accuracy: 0.7320038680921419
10-20%
precision recall f1-score support
0 0.92 0.68 0.78 18034328
1 0.41 0.78 0.54 5083660
accuracy 0.70 23117988
macro avg 0.66 0.73 0.66 23117988
weighted avg 0.80 0.70 0.73 23117988
Accuracy: 0.7036668156415689
precision recall f1-score support
0 0.75 0.48 0.59 5044441
1 0.53 0.78 0.63 3812372
accuracy 0.61 8856813
macro avg 0.64 0.63 0.61 8856813
weighted avg 0.65 0.61 0.61 8856813
Accuracy: 0.611254635273433
20-40%
precision recall f1-score support
0 0.85 0.65 0.74 21029926
1 0.53 0.78 0.63 10666875
accuracy 0.69 31696801
macro avg 0.69 0.71 0.68 31696801
weighted avg 0.74 0.69 0.70 31696801
Accuracy: 0.6926148162396577
precision recall f1-score support
0 0.52 0.43 0.47 2995598
1 0.72 0.79 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: 0.6628321423954573
40-80%
precision recall f1-score support
0 0.81 0.63 0.71 22324987
1 0.60 0.78 0.68 15668439
accuracy 0.69 37993426
macro avg 0.70 0.71 0.69 37993426
weighted avg 0.72 0.69 0.70 37993426
Accuracy: 0.6949805737445209
precision recall f1-score support
0 0.33 0.41 0.37 1295061
1 0.84 0.78 0.81 5001564
accuracy 0.71 6296625
macro avg 0.58 0.60 0.59 6296625
weighted avg 0.73 0.71 0.72 6296625
Accuracy: 0.7068896432612709
80-90%
precision recall f1-score support
0 0.24 0.41 0.30 117971
1 0.89 0.78 0.83 692761
accuracy 0.73 810732
macro avg 0.56 0.59 0.56 810732
weighted avg 0.79 0.73 0.75 810732
Accuracy: 0.7250583423375419
90-100%
precision recall f1-score support
0 0.22 0.41 0.29 88944
1 0.89 0.78 0.83 577496
accuracy 0.73 666440
macro avg 0.56 0.59 0.56 666440
weighted avg 0.80 0.73 0.76 666440
Accuracy: 0.7288503091050957
Treshold: 0.6
All
precision recall f1-score support
0 0.75 0.77 0.76 22531902
1 0.68 0.65 0.67 16938696
accuracy 0.72 39470598
macro avg 0.71 0.71 0.71 39470598
weighted avg 0.72 0.72 0.72 39470598
Accuracy: 0.7204534119295583
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999799999870967
1-10%
precision recall f1-score support
0 0.95 0.86 0.90 11439888
1 0.33 0.61 0.43 1271288
accuracy 0.84 12711176
macro avg 0.64 0.73 0.67 12711176
weighted avg 0.89 0.84 0.86 12711176
Accuracy: 0.8359920435371204
10-20%
precision recall f1-score support
0 0.71 0.67 0.69 5044441
1 0.59 0.64 0.62 3812372
accuracy 0.66 8856813
macro avg 0.65 0.65 0.65 8856813
weighted avg 0.66 0.66 0.66 8856813
Accuracy: 0.656142903773626
20-40%
precision recall f1-score support
0 0.49 0.61 0.54 2995598
1 0.76 0.66 0.70 5583215
accuracy 0.64 8578813
macro avg 0.62 0.63 0.62 8578813
weighted avg 0.66 0.64 0.65 8578813
Accuracy: 0.6398741877227071
40-80%
precision recall f1-score support
0 0.30 0.59 0.40 1295061
1 0.86 0.65 0.74 5001564
accuracy 0.64 6296625
macro avg 0.58 0.62 0.57 6296625
weighted avg 0.74 0.64 0.67 6296625
Accuracy: 0.6383792904929227
80-90%
precision recall f1-score support
0 0.22 0.58 0.32 117971
1 0.90 0.65 0.75 692761
accuracy 0.64 810732
macro avg 0.56 0.61 0.53 810732
weighted avg 0.80 0.64 0.69 810732
Accuracy: 0.6363286511448912
90-100%
precision recall f1-score support
0 0.20 0.58 0.30 88944
1 0.91 0.65 0.75 577496
accuracy 0.64 666440
macro avg 0.55 0.61 0.53 666440
weighted avg 0.81 0.64 0.69 666440
Accuracy: 0.636357361502911
Treshold: 0.7
All
precision recall f1-score support
0 0.67 0.91 0.77 22531902
1 0.77 0.41 0.53 16938696
accuracy 0.69 39470598
macro avg 0.72 0.66 0.65 39470598
weighted avg 0.71 0.69 0.67 39470598
Accuracy: 0.6938594140377604
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.93 0.96 0.95 11439888
1 0.52 0.36 0.43 1271288
accuracy 0.90 12711176
macro avg 0.73 0.66 0.69 12711176
weighted avg 0.89 0.90 0.89 12711176
Accuracy: 0.9026036615337558
10-20%
precision recall f1-score support
0 0.66 0.87 0.75 5044441
1 0.69 0.40 0.51 3812372
accuracy 0.66 8856813
macro avg 0.67 0.63 0.63 8856813
weighted avg 0.67 0.66 0.64 8856813
Accuracy: 0.6646632372163667
20-40%
precision recall f1-score support
0 0.43 0.81 0.56 2995598
1 0.80 0.41 0.55 5583215
accuracy 0.55 8578813
macro avg 0.61 0.61 0.55 8578813
weighted avg 0.67 0.55 0.55 8578813
Accuracy: 0.5520550453774898
40-80%
precision recall f1-score support
0 0.25 0.77 0.38 1295061
1 0.88 0.41 0.56 5001564
accuracy 0.49 6296625
macro avg 0.57 0.59 0.47 6296625
weighted avg 0.75 0.49 0.52 6296625
Accuracy: 0.4869195799336946
80-90%
precision recall f1-score support
0 0.18 0.76 0.29 117971
1 0.91 0.41 0.56 692761
accuracy 0.46 810732
macro avg 0.54 0.59 0.43 810732
weighted avg 0.80 0.46 0.52 810732
Accuracy: 0.4592812421367357
90-100%
precision recall f1-score support
0 0.17 0.76 0.27 88944
1 0.92 0.41 0.56 577496
accuracy 0.45 666440
macro avg 0.54 0.58 0.42 666440
weighted avg 0.82 0.45 0.52 666440
Accuracy: 0.4543754876658064
Treshold: 0.8
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
LR_9_decay_rtime
0.01
Treshold: 0.3
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: 0.7255593987484213
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: 0.7019329743318685
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 0.87 0.69 0.77 28055468
1 0.68 0.87 0.76 21729815
accuracy 0.77 49785283
macro avg 0.78 0.78 0.77 49785283
weighted avg 0.79 0.77 0.77 49785283
Accuracy: 0.766106501794918
precision recall f1-score support
0 0.87 0.69 0.77 28055468
1 0.68 0.87 0.76 21729815
accuracy 0.77 49785283
macro avg 0.78 0.78 0.77 49785283
weighted avg 0.79 0.77 0.77 49785283
Accuracy: 0.766106501794918
0-1%
precision recall f1-score support
0 0.87 0.69 0.77 27764588
1 0.63 0.83 0.72 17098553
accuracy 0.75 44863141
macro avg 0.75 0.76 0.74 44863141
weighted avg 0.78 0.75 0.75 44863141
Accuracy: 0.7469286869593014
precision recall f1-score support
0 0.87 0.69 0.77 27764588
1 0.63 0.83 0.72 17098553
accuracy 0.75 44863141
macro avg 0.75 0.76 0.74 44863141
weighted avg 0.78 0.75 0.75 44863141
Accuracy: 0.7469286869593014
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
precision recall f1-score support
0 0.87 0.69 0.77 28052152
1 0.68 0.87 0.76 21263340
accuracy 0.76 49315492
macro avg 0.77 0.78 0.76 49315492
weighted avg 0.79 0.76 0.76 49315492
Accuracy: 0.7639456177381339
10-20%
precision recall f1-score support
0 0.87 0.69 0.77 28054607
1 0.68 0.87 0.76 21520956
accuracy 0.77 49575563
macro avg 0.78 0.78 0.77 49575563
weighted avg 0.79 0.77 0.77 49575563
Accuracy: 0.7651344272177
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 0.87 0.69 0.77 28055266
1 0.68 0.87 0.76 21651524
accuracy 0.77 49706790
macro avg 0.78 0.78 0.77 49706790
weighted avg 0.79 0.77 0.77 49706790
Accuracy: 0.7657412196603322
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 0.87 0.69 0.77 28055435
1 0.68 0.87 0.76 21716758
accuracy 0.77 49772193
macro avg 0.78 0.78 0.77 49772193
weighted avg 0.79 0.77 0.77 49772193
Accuracy: 0.7660456512334106
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 0.83 0.76 0.79 28055468
1 0.72 0.80 0.76 21729815
accuracy 0.78 49785283
macro avg 0.77 0.78 0.78 49785283
weighted avg 0.78 0.78 0.78 49785283
Accuracy: 0.776786706224006
0-1%
precision recall f1-score support
0 0.83 0.77 0.80 27764588
1 0.66 0.74 0.70 17098553
accuracy 0.76 44863141
macro avg 0.75 0.76 0.75 44863141
weighted avg 0.77 0.76 0.76 44863141
Accuracy: 0.7587836972894965
1-10%
precision recall f1-score support
0 0.25 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.59 0.50 0.48 4452351
weighted avg 0.89 0.94 0.90 4452351
Accuracy: 0.9353824530006731
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
Treshold: 0.7
All
precision recall f1-score support
0 0.76 0.85 0.81 28055468
1 0.78 0.66 0.71 21729815
accuracy 0.77 49785283
macro avg 0.77 0.76 0.76 49785283
weighted avg 0.77 0.77 0.77 49785283
Accuracy: 0.7691218105559428
0-1%
precision recall f1-score support
0 0.76 0.86 0.81 27764588
1 0.72 0.57 0.64 17098553
accuracy 0.75 44863141
macro avg 0.74 0.72 0.72 44863141
weighted avg 0.75 0.75 0.74 44863141
Accuracy: 0.750495155923211
1-10%
precision recall f1-score support
0 0.13 0.01 0.01 287564
1 0.94 1.00 0.97 4164787
accuracy 0.93 4452351
macro avg 0.53 0.50 0.49 4452351
weighted avg 0.88 0.93 0.90 4452351
Accuracy: 0.9332572836238653
10-20%
precision recall f1-score support
0 0.17 0.02 0.03 2455
1 0.99 1.00 0.99 257616
accuracy 0.99 260071
macro avg 0.58 0.51 0.51 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9899181377393097
20-40%
precision recall f1-score support
0 0.20 0.04 0.06 659
1 1.00 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.60 0.52 0.53 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9944447407926722
40-80%
precision recall f1-score support
0 0.19 0.08 0.11 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.59 0.54 0.55 65403
weighted avg 1.00 1.00 1.00 65403
Accuracy: 0.9967585584759109
80-90%
precision recall f1-score support
0 0.12 0.07 0.09 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.56 0.53 0.54 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9971567831031681
90-100%
precision recall f1-score support
0 0.44 0.22 0.30 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.72 0.61 0.65 5704
weighted avg 1.00 1.00 1.00 5704
Accuracy: 0.9966690042075736
Treshold: 0.8
All
precision recall f1-score support
0 0.66 0.96 0.78 28055468
1 0.87 0.36 0.50 21729815
accuracy 0.70 49785283
macro avg 0.76 0.66 0.64 49785283
weighted avg 0.75 0.70 0.66 49785283
Accuracy: 0.6952265993948452
0-1%
precision recall f1-score support
0 0.66 0.97 0.79 27764588
1 0.80 0.21 0.33 17098553
accuracy 0.68 44863141
macro avg 0.73 0.59 0.56 44863141
weighted avg 0.71 0.68 0.61 44863141
Accuracy: 0.6779228409352791
1-10%
precision recall f1-score support
0 0.08 0.15 0.11 287564
1 0.94 0.89 0.91 4164787
accuracy 0.84 4452351
macro avg 0.51 0.52 0.51 4452351
weighted avg 0.88 0.84 0.86 4452351
Accuracy: 0.8425939464341423
10-20%
precision recall f1-score support
0 0.02 0.07 0.03 2455
1 0.99 0.96 0.97 257616
accuracy 0.95 260071
macro avg 0.50 0.51 0.50 260071
weighted avg 0.98 0.95 0.96 260071
Accuracy: 0.9470183142295757
20-40%
precision recall f1-score support
0 0.01 0.08 0.02 659
1 1.00 0.96 0.98 130568
accuracy 0.95 131227
macro avg 0.50 0.52 0.50 131227
weighted avg 0.99 0.95 0.97 131227
Accuracy: 0.954795888041333
40-80%
precision recall f1-score support
0 0.01 0.14 0.02 169
1 1.00 0.96 0.98 65234
accuracy 0.96 65403
macro avg 0.50 0.55 0.50 65403
weighted avg 1.00 0.96 0.98 65403
Accuracy: 0.9576472027277037
80-90%
precision recall f1-score support
0 0.01 0.13 0.01 15
1 1.00 0.96 0.98 7371
accuracy 0.96 7386
macro avg 0.50 0.55 0.50 7386
weighted avg 1.00 0.96 0.98 7386
Accuracy: 0.9601949634443542
90-100%
precision recall f1-score support
0 0.02 0.22 0.03 18
1 1.00 0.96 0.98 5686
accuracy 0.96 5704
macro avg 0.51 0.59 0.51 5704
weighted avg 0.99 0.96 0.98 5704
Accuracy: 0.9588008415147266
Treshold: 0.9
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.93 0.49 0.64 26119367
1 0.61 0.95 0.74 21615229
accuracy 0.70 47734596
macro avg 0.77 0.72 0.69 47734596
weighted avg 0.78 0.70 0.69 47734596
Accuracy: 0.702004831045391
0-1%
precision recall f1-score support
0 0.98 0.88 0.92 12053010
1 0.15 0.51 0.23 508421
accuracy 0.86 12561431
macro avg 0.56 0.69 0.58 12561431
weighted avg 0.94 0.86 0.90 12561431
Accuracy: 0.8612059406288981
1-10%
precision recall f1-score support
0 0.76 0.17 0.28 13368467
1 0.55 0.95 0.70 14466820
accuracy 0.58 27835287
macro avg 0.66 0.56 0.49 27835287
weighted avg 0.65 0.58 0.50 27835287
Accuracy: 0.5768442409090303
10-20%
precision recall f1-score support
0 0.18 0.00 0.00 503365
1 0.87 1.00 0.93 3387274
accuracy 0.87 3890639
macro avg 0.53 0.50 0.47 3890639
weighted avg 0.78 0.87 0.81 3890639
Accuracy: 0.8696383807389995
20-40%
precision recall f1-score support
0 0.09 0.00 0.00 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.51 0.50 0.48 2117913
weighted avg 0.87 0.93 0.90 2117913
Accuracy: 0.930020260511173
40-80%
precision recall f1-score support
0 0.04 0.00 0.00 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.50 0.50 0.49 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9622577188611938
80-90%
precision recall f1-score support
0 0.25 0.00 0.00 3093
1 0.98 1.00 0.99 120943
accuracy 0.98 124036
macro avg 0.61 0.50 0.49 124036
weighted avg 0.96 0.98 0.96 124036
Accuracy: 0.9750475668354349
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 0.96 99395
Accuracy: 0.9765581769706726
Treshold: 0.5
All
precision recall f1-score support
0 0.85 0.64 0.73 26119367
1 0.66 0.87 0.75 21615229
accuracy 0.74 47734596
macro avg 0.76 0.75 0.74 47734596
weighted avg 0.77 0.74 0.74 47734596
Accuracy: 0.741057764477571
precision recall f1-score support
0 0.85 0.64 0.73 26119367
1 0.66 0.87 0.75 21615229
accuracy 0.74 47734596
macro avg 0.76 0.75 0.74 47734596
weighted avg 0.77 0.74 0.74 47734596
Accuracy: 0.741057764477571
0-1%
precision recall f1-score support
0 0.97 0.95 0.96 12053010
1 0.19 0.26 0.22 508421
accuracy 0.93 12561431
macro avg 0.58 0.61 0.59 12561431
weighted avg 0.94 0.93 0.93 12561431
Accuracy: 0.9262549784335877
precision recall f1-score support
0 0.97 0.95 0.96 12053010
1 0.19 0.26 0.22 508421
accuracy 0.93 12561431
macro avg 0.58 0.61 0.59 12561431
weighted avg 0.94 0.93 0.93 12561431
Accuracy: 0.9262549784335877
1-10%
precision recall f1-score support
0 0.86 0.65 0.74 25421477
1 0.58 0.82 0.68 14975241
accuracy 0.71 40396718
macro avg 0.72 0.73 0.71 40396718
weighted avg 0.75 0.71 0.72 40396718
Accuracy: 0.7133189631890393
precision recall f1-score support
0 0.68 0.38 0.49 13368467
1 0.59 0.84 0.69 14466820
accuracy 0.62 27835287
macro avg 0.64 0.61 0.59 27835287
weighted avg 0.64 0.62 0.60 27835287
Accuracy: 0.6172257896963663
10-20%
precision recall f1-score support
0 0.85 0.64 0.73 25924842
1 0.63 0.85 0.72 18362515
accuracy 0.73 44287357
macro avg 0.74 0.74 0.73 44287357
weighted avg 0.76 0.73 0.73 44287357
Accuracy: 0.7258026483720851
precision recall f1-score support
0 0.17 0.03 0.05 503365
1 0.87 0.98 0.92 3387274
accuracy 0.86 3890639
macro avg 0.52 0.50 0.49 3890639
weighted avg 0.78 0.86 0.81 3890639
Accuracy: 0.8554214359132266
20-40%
precision recall f1-score support
0 0.09 0.01 0.02 147488
1 0.93 0.99 0.96 1970425
accuracy 0.92 2117913
macro avg 0.51 0.50 0.49 2117913
weighted avg 0.87 0.92 0.89 2117913
Accuracy: 0.9221748013256447
40-80%
precision recall f1-score support
0 0.85 0.64 0.73 26113946
1 0.66 0.87 0.75 21397219
accuracy 0.74 47511165
macro avg 0.76 0.75 0.74 47511165
weighted avg 0.77 0.74 0.74 47511165
Accuracy: 0.7399666162679867
precision recall f1-score support
0 0.05 0.01 0.01 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.51 0.50 0.50 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.958236541443808
80-90%
precision recall f1-score support
0 0.03 0.00 0.01 3093
1 0.98 1.00 0.99 120943
accuracy 0.97 124036
macro avg 0.50 0.50 0.50 124036
weighted avg 0.95 0.97 0.96 124036
Accuracy: 0.9721371214808604
90-100%
precision recall f1-score support
0 0.02 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.97 99395
macro avg 0.50 0.50 0.50 99395
weighted avg 0.95 0.97 0.96 99395
Accuracy: 0.9742642990090045
Treshold: 0.6
All
precision recall f1-score support
0 0.80 0.72 0.76 26119367
1 0.70 0.78 0.74 21615229
accuracy 0.75 47734596
macro avg 0.75 0.75 0.75 47734596
weighted avg 0.75 0.75 0.75 47734596
Accuracy: 0.7475000731125911
0-1%
precision recall f1-score support
0 0.96 0.98 0.97 12053010
1 0.22 0.15 0.18 508421
accuracy 0.94 12561431
macro avg 0.59 0.56 0.57 12561431
weighted avg 0.93 0.94 0.94 12561431
Accuracy: 0.9442128846625835
1-10%
precision recall f1-score support
0 0.63 0.52 0.57 13368467
1 0.62 0.72 0.67 14466820
accuracy 0.63 27835287
macro avg 0.63 0.62 0.62 27835287
weighted avg 0.63 0.63 0.62 27835287
Accuracy: 0.6252882537191012
10-20%
precision recall f1-score support
0 0.16 0.07 0.10 503365
1 0.87 0.94 0.91 3387274
accuracy 0.83 3890639
macro avg 0.51 0.51 0.50 3890639
weighted avg 0.78 0.83 0.80 3890639
Accuracy: 0.8298091907267675
20-40%
precision recall f1-score support
0 0.09 0.03 0.05 147488
1 0.93 0.97 0.95 1970425
accuracy 0.91 2117913
macro avg 0.51 0.50 0.50 2117913
weighted avg 0.87 0.91 0.89 2117913
Accuracy: 0.9068040094187061
40-80%
precision recall f1-score support
0 0.05 0.02 0.03 41616
1 0.96 0.99 0.97 1064279
accuracy 0.95 1105895
macro avg 0.51 0.50 0.50 1105895
weighted avg 0.93 0.95 0.94 1105895
Accuracy: 0.9499708380994579
80-90%
precision recall f1-score support
0 0.03 0.01 0.02 3093
1 0.98 0.99 0.98 120943
accuracy 0.97 124036
macro avg 0.50 0.50 0.50 124036
weighted avg 0.95 0.97 0.96 124036
Accuracy: 0.9668725208810346
90-100%
precision recall f1-score support
0 0.03 0.01 0.01 2328
1 0.98 0.99 0.98 97067
accuracy 0.97 99395
macro avg 0.50 0.50 0.50 99395
weighted avg 0.95 0.97 0.96 99395
Accuracy: 0.969425021379345
Treshold: 0.7
All
precision recall f1-score support
0 0.69 0.84 0.76 26119367
1 0.74 0.54 0.62 21615229
accuracy 0.70 47734596
macro avg 0.71 0.69 0.69 47734596
weighted avg 0.71 0.70 0.70 47734596
Accuracy: 0.7036790465347188
0-1%
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.25 0.06 0.09 508421
accuracy 0.95 12561431
macro avg 0.60 0.52 0.53 12561431
weighted avg 0.93 0.95 0.94 12561431
Accuracy: 0.9548506854035977
1-10%
precision recall f1-score support
0 0.56 0.73 0.63 13368467
1 0.65 0.48 0.55 14466820
accuracy 0.60 27835287
macro avg 0.61 0.60 0.59 27835287
weighted avg 0.61 0.60 0.59 27835287
Accuracy: 0.596758208384918
10-20%
precision recall f1-score support
0 0.15 0.36 0.21 503365
1 0.88 0.69 0.78 3387274
accuracy 0.65 3890639
macro avg 0.52 0.53 0.49 3890639
weighted avg 0.79 0.65 0.70 3890639
Accuracy: 0.6513580416995769
20-40%
precision recall f1-score support
0 0.08 0.33 0.13 147488
1 0.94 0.73 0.82 1970425
accuracy 0.70 2117913
macro avg 0.51 0.53 0.48 2117913
weighted avg 0.88 0.70 0.77 2117913
Accuracy: 0.6995150414582657
40-80%
precision recall f1-score support
0 0.04 0.31 0.08 41616
1 0.96 0.74 0.84 1064279
accuracy 0.73 1105895
macro avg 0.50 0.53 0.46 1105895
weighted avg 0.93 0.73 0.81 1105895
Accuracy: 0.7270391854561238
80-90%
precision recall f1-score support
0 0.03 0.31 0.05 3093
1 0.98 0.75 0.85 120943
accuracy 0.74 124036
macro avg 0.50 0.53 0.45 124036
weighted avg 0.95 0.74 0.83 124036
Accuracy: 0.7368344674126867
90-100%
precision recall f1-score support
0 0.03 0.28 0.05 2328
1 0.98 0.75 0.85 97067
accuracy 0.74 99395
macro avg 0.50 0.52 0.45 99395
weighted avg 0.96 0.74 0.83 99395
Accuracy: 0.7392122340157956
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.81 0.02 0.04 21615229
accuracy 0.55 47734596
macro avg 0.68 0.51 0.38 47734596
weighted avg 0.67 0.55 0.41 47734596
Accuracy: 0.5548408118924899
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.40 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.68 0.50 0.49 12561431
weighted avg 0.94 0.96 0.94 12561431
Accuracy: 0.9595222073026553
1-10%
precision recall f1-score support
0 0.48 0.99 0.65 13368467
1 0.71 0.01 0.03 14466820
accuracy 0.48 27835287
macro avg 0.59 0.50 0.34 27835287
weighted avg 0.60 0.48 0.33 27835287
Accuracy: 0.48464120380723935
10-20%
precision recall f1-score support
0 0.13 0.97 0.23 503365
1 0.88 0.04 0.07 3387274
accuracy 0.16 3890639
macro avg 0.51 0.50 0.15 3890639
weighted avg 0.78 0.16 0.09 3890639
Accuracy: 0.15661463322605876
20-40%
precision recall f1-score support
0 0.07 0.96 0.13 147488
1 0.94 0.04 0.08 1970425
accuracy 0.11 2117913
macro avg 0.50 0.50 0.11 2117913
weighted avg 0.88 0.11 0.09 2117913
Accuracy: 0.1071672915742998
40-80%
precision recall f1-score support
0 0.04 0.96 0.07 41616
1 0.97 0.05 0.09 1064279
accuracy 0.08 1105895
macro avg 0.50 0.50 0.08 1105895
weighted avg 0.93 0.08 0.09 1105895
Accuracy: 0.08127173013712875
80-90%
precision recall f1-score support
0 0.03 0.96 0.05 3093
1 0.98 0.05 0.09 120943
accuracy 0.07 124036
macro avg 0.50 0.50 0.07 124036
weighted avg 0.96 0.07 0.09 124036
Accuracy: 0.07212422200006449
90-100%
precision recall f1-score support
0 0.02 0.96 0.05 2328
1 0.98 0.05 0.09 97067
accuracy 0.07 99395
macro avg 0.50 0.50 0.07 99395
weighted avg 0.96 0.07 0.09 99395
Accuracy: 0.06918859097540117
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.91 0.38 0.53 24893266
1 0.56 0.96 0.70 20563095
accuracy 0.64 45456361
macro avg 0.73 0.67 0.62 45456361
weighted avg 0.75 0.64 0.61 45456361
Accuracy: 0.6375908973443782
0-1%
precision recall f1-score support
0 1.00 0.92 0.96 4873589
1 0.01 0.77 0.02 3872
accuracy 0.92 4877461
macro avg 0.50 0.84 0.49 4877461
weighted avg 1.00 0.92 0.96 4877461
Accuracy: 0.9202041800026695
1-10%
precision recall f1-score support
0 0.89 0.28 0.42 16949103
1 0.38 0.93 0.54 8016772
accuracy 0.49 24965875
macro avg 0.64 0.60 0.48 24965875
weighted avg 0.73 0.49 0.46 24965875
Accuracy: 0.48612496057117965
10-20%
precision recall f1-score support
0 0.41 0.06 0.11 2057494
1 0.73 0.97 0.83 5461156
accuracy 0.72 7518650
macro avg 0.57 0.51 0.47 7518650
weighted avg 0.64 0.72 0.63 7518650
Accuracy: 0.7182914485978201
20-40%
precision recall f1-score support
0 0.24 0.04 0.07 744974
1 0.85 0.97 0.91 4060539
accuracy 0.83 4805513
macro avg 0.54 0.51 0.49 4805513
weighted avg 0.75 0.83 0.78 4805513
Accuracy: 0.8301423802203843
40-80%
precision recall f1-score support
0 0.13 0.03 0.05 235909
1 0.91 0.98 0.95 2483775
accuracy 0.90 2719684
macro avg 0.52 0.51 0.50 2719684
weighted avg 0.85 0.90 0.87 2719684
Accuracy: 0.8972244569589702
80-90%
precision recall f1-score support
0 0.09 0.03 0.05 18577
1 0.94 0.98 0.96 296772
accuracy 0.93 315349
macro avg 0.52 0.51 0.50 315349
weighted avg 0.89 0.93 0.91 315349
Accuracy: 0.9250608056470767
90-100%
precision recall f1-score support
0 0.07 0.03 0.04 13620
1 0.95 0.98 0.96 240209
accuracy 0.93 253829
macro avg 0.51 0.50 0.50 253829
weighted avg 0.90 0.93 0.91 253829
Accuracy: 0.9299213249865067
Treshold: 0.5
All
precision recall f1-score support
0 0.81 0.54 0.65 24893266
1 0.60 0.84 0.70 20563095
accuracy 0.68 45456361
macro avg 0.71 0.69 0.68 45456361
weighted avg 0.72 0.68 0.68 45456361
Accuracy: 0.6798581391062078
precision recall f1-score support
0 0.81 0.54 0.65 24893266
1 0.60 0.84 0.70 20563095
accuracy 0.68 45456361
macro avg 0.71 0.69 0.68 45456361
weighted avg 0.72 0.68 0.68 45456361
Accuracy: 0.6798581611053292
0-1%
precision recall f1-score support
0 1.00 0.97 0.98 4873589
1 0.02 0.65 0.03 3872
accuracy 0.97 4877461
macro avg 0.51 0.81 0.51 4877461
weighted avg 1.00 0.97 0.98 4877461
Accuracy: 0.9682306019463816
precision recall f1-score support
0 1.00 0.97 0.98 4873589
1 0.02 0.65 0.03 3872
accuracy 0.97 4877461
macro avg 0.51 0.81 0.51 4877461
weighted avg 1.00 0.97 0.98 4877461
Accuracy: 0.9682306019463816
1-10%
precision recall f1-score support
0 0.85 0.48 0.61 16949103
1 0.43 0.82 0.56 8016772
accuracy 0.59 24965875
macro avg 0.64 0.65 0.59 24965875
weighted avg 0.71 0.59 0.60 24965875
Accuracy: 0.5885483284683594
precision recall f1-score support
0 0.90 0.59 0.71 21822692
1 0.42 0.82 0.56 8020644
accuracy 0.65 29843336
macro avg 0.66 0.70 0.63 29843336
weighted avg 0.77 0.65 0.67 29843336
Accuracy: 0.6506019300255172
10-20%
precision recall f1-score support
0 0.86 0.56 0.68 23880186
1 0.52 0.84 0.64 13481800
accuracy 0.66 37361986
macro avg 0.69 0.70 0.66 37361986
weighted avg 0.73 0.66 0.66 37361986
Accuracy: 0.6582850012309303
precision recall f1-score support
0 0.39 0.25 0.30 2057494
1 0.75 0.86 0.80 5461156
accuracy 0.69 7518650
macro avg 0.57 0.55 0.55 7518650
weighted avg 0.65 0.69 0.66 7518650
Accuracy: 0.6887809646678592
20-40%
precision recall f1-score support
0 0.83 0.55 0.66 24625160
1 0.57 0.84 0.68 17542339
accuracy 0.67 42167499
macro avg 0.70 0.69 0.67 42167499
weighted avg 0.72 0.67 0.67 42167499
Accuracy: 0.6699703959203271
precision recall f1-score support
0 0.23 0.23 0.23 744974
1 0.86 0.86 0.86 4060539
accuracy 0.76 4805513
macro avg 0.54 0.54 0.54 4805513
weighted avg 0.76 0.76 0.76 4805513
Accuracy: 0.760822205662538
40-80%
precision recall f1-score support
0 0.13 0.22 0.16 235909
1 0.92 0.86 0.89 2483775
accuracy 0.80 2719684
macro avg 0.52 0.54 0.53 2719684
weighted avg 0.85 0.80 0.83 2719684
Accuracy: 0.8035352636556305
80-90%
precision recall f1-score support
0 0.09 0.22 0.12 18577
1 0.95 0.86 0.90 296772
accuracy 0.82 315349
macro avg 0.52 0.54 0.51 315349
weighted avg 0.90 0.82 0.85 315349
Accuracy: 0.8196188984268223
90-100%
precision recall f1-score support
0 0.08 0.22 0.12 13620
1 0.95 0.86 0.90 240209
accuracy 0.82 253829
macro avg 0.52 0.54 0.51 253829
weighted avg 0.90 0.82 0.86 253829
Accuracy: 0.8236805093192662
Treshold: 0.6
All
precision recall f1-score support
0 0.77 0.65 0.70 24893266
1 0.64 0.76 0.70 20563095
accuracy 0.70 45456361
macro avg 0.70 0.70 0.70 45456361
weighted avg 0.71 0.70 0.70 45456361
Accuracy: 0.699147870635751
0-1%
precision recall f1-score support
0 1.00 0.99 0.99 4873589
1 0.03 0.54 0.06 3872
accuracy 0.99 4877461
macro avg 0.51 0.76 0.53 4877461
weighted avg 1.00 0.99 0.99 4877461
Accuracy: 0.9858715425915245
1-10%
precision recall f1-score support
0 0.83 0.60 0.70 16949103
1 0.47 0.73 0.57 8016772
accuracy 0.65 24965875
macro avg 0.65 0.67 0.63 24965875
weighted avg 0.71 0.65 0.66 24965875
Accuracy: 0.6461317298111923
10-20%
precision recall f1-score support
0 0.38 0.37 0.38 2057494
1 0.77 0.77 0.77 5461156
accuracy 0.66 7518650
macro avg 0.57 0.57 0.57 7518650
weighted avg 0.66 0.66 0.66 7518650
Accuracy: 0.6636123506214546
20-40%
precision recall f1-score support
0 0.22 0.35 0.27 744974
1 0.87 0.78 0.82 4060539
accuracy 0.71 4805513
macro avg 0.54 0.56 0.55 4805513
weighted avg 0.77 0.71 0.73 4805513
Accuracy: 0.7111607023017106
40-80%
precision recall f1-score support
0 0.13 0.34 0.19 235909
1 0.93 0.78 0.84 2483775
accuracy 0.74 2719684
macro avg 0.53 0.56 0.51 2719684
weighted avg 0.86 0.74 0.79 2719684
Accuracy: 0.7381673753274277
80-90%
precision recall f1-score support
0 0.09 0.34 0.14 18577
1 0.95 0.77 0.85 296772
accuracy 0.75 315349
macro avg 0.52 0.56 0.49 315349
weighted avg 0.90 0.75 0.81 315349
Accuracy: 0.747584422338425
90-100%
precision recall f1-score support
0 0.08 0.34 0.13 13620
1 0.95 0.77 0.85 240209
accuracy 0.75 253829
macro avg 0.52 0.56 0.49 253829
weighted avg 0.91 0.75 0.82 253829
Accuracy: 0.751021356897754
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.12 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.33 0.50 0.35 45456361
weighted avg 0.35 0.55 0.39 45456361
Accuracy: 0.5475752887478168
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.999198558430298
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.11 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.39 0.50 0.40 24965875
weighted avg 0.50 0.68 0.55 24965875
Accuracy: 0.6788336879840983
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.18 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.23 0.50 0.21 7518650
weighted avg 0.21 0.27 0.12 7518650
Accuracy: 0.2735976538341325
20-40%
precision recall f1-score support
0 0.15 1.00 0.27 744974
1 0.14 0.00 0.00 4060539
accuracy 0.15 4805513
macro avg 0.15 0.50 0.13 4805513
weighted avg 0.14 0.15 0.04 4805513
Accuracy: 0.1549582739657556
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.06 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.07 0.50 0.08 2719684
weighted avg 0.06 0.09 0.01 2719684
Accuracy: 0.08665161099598336
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.03 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.05 0.50 0.06 315349
weighted avg 0.04 0.06 0.01 315349
Accuracy: 0.05882371594645932
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.07 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.06 0.50 0.05 253829
weighted avg 0.07 0.05 0.01 253829
Accuracy: 0.053567559262338034
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.12 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.33 0.50 0.35 45456361
weighted avg 0.35 0.55 0.39 45456361
Accuracy: 0.5476166910941244
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992051192208405
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.10 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.39 0.50 0.40 24965875
weighted avg 0.49 0.68 0.55 24965875
Accuracy: 0.6788771873607474
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.20 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.24 0.50 0.21 7518650
weighted avg 0.22 0.27 0.12 7518650
Accuracy: 0.27363861863499434
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.11 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.13 0.50 0.13 4805513
weighted avg 0.12 0.16 0.04 4805513
Accuracy: 0.15500634375559905
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.05 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.07 0.50 0.08 2719684
weighted avg 0.05 0.09 0.01 2719684
Accuracy: 0.08672110436359519
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05888713774262801
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.11 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.08 0.50 0.05 253829
weighted avg 0.11 0.05 0.01 253829
Accuracy: 0.05363059382497666
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.04 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.29 0.50 0.35 45456361
weighted avg 0.32 0.55 0.39 45456361
Accuracy: 0.5476294725836061
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: 0.678890365348701
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.14 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.21 0.50 0.21 7518650
weighted avg 0.18 0.27 0.12 7518650
Accuracy: 0.2736513868846136
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502423986783512
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674022423193282
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.058906164281478615
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.85 0.36 0.51 22531902
1 0.52 0.92 0.66 16938696
accuracy 0.60 39470598
macro avg 0.69 0.64 0.59 39470598
weighted avg 0.71 0.60 0.58 39470598
Accuracy: 0.6007910242454396
0-1%
precision recall f1-score support
0 1.00 0.97 0.98 1549999
1 0.00 0.00 0.00 0
accuracy 0.97 1549999
macro avg 0.50 0.48 0.49 1549999
weighted avg 1.00 0.97 0.98 1549999
Accuracy: 0.9673096563288105
1-10%
precision recall f1-score support
0 0.97 0.42 0.59 11439888
1 0.15 0.90 0.25 1271288
accuracy 0.47 12711176
macro avg 0.56 0.66 0.42 12711176
weighted avg 0.89 0.47 0.56 12711176
Accuracy: 0.4709554804370579
10-20%
precision recall f1-score support
0 0.76 0.21 0.33 5044441
1 0.47 0.91 0.62 3812372
accuracy 0.51 8856813
macro avg 0.62 0.56 0.47 8856813
weighted avg 0.64 0.51 0.45 8856813
Accuracy: 0.5127644673089519
20-40%
precision recall f1-score support
0 0.54 0.18 0.27 2995598
1 0.68 0.92 0.78 5583215
accuracy 0.66 8578813
macro avg 0.61 0.55 0.52 8578813
weighted avg 0.63 0.66 0.60 8578813
Accuracy: 0.6608404915691717
40-80%
precision recall f1-score support
0 0.35 0.17 0.23 1295061
1 0.81 0.92 0.86 5001564
accuracy 0.76 6296625
macro avg 0.58 0.54 0.54 6296625
weighted avg 0.72 0.76 0.73 6296625
Accuracy: 0.7649642467194727
80-90%
precision recall f1-score support
0 0.26 0.17 0.20 117971
1 0.87 0.92 0.89 692761
accuracy 0.81 810732
macro avg 0.56 0.54 0.55 810732
weighted avg 0.78 0.81 0.79 810732
Accuracy: 0.8088517537237953
90-100%
precision recall f1-score support
0 0.24 0.17 0.20 88944
1 0.88 0.92 0.90 577496
accuracy 0.82 666440
macro avg 0.56 0.54 0.55 666440
weighted avg 0.79 0.82 0.80 666440
Accuracy: 0.8173473981153592
Treshold: 0.5
All
precision recall f1-score support
0 0.80 0.63 0.70 22531902
1 0.61 0.79 0.69 16938696
accuracy 0.70 39470598
macro avg 0.70 0.71 0.69 39470598
weighted avg 0.72 0.70 0.70 39470598
Accuracy: 0.695003303471612
precision recall f1-score support
0 0.80 0.63 0.70 22531902
1 0.61 0.79 0.69 16938696
accuracy 0.70 39470598
macro avg 0.70 0.71 0.69 39470598
weighted avg 0.72 0.70 0.70 39470598
Accuracy: 0.695003303471612
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9992825801823098
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9992825801823098
1-10%
precision recall f1-score support
0 0.97 0.76 0.85 12989887
1 0.24 0.76 0.36 1271288
accuracy 0.76 14261175
macro avg 0.60 0.76 0.61 14261175
weighted avg 0.90 0.76 0.81 14261175
Accuracy: 0.7581716092818439
precision recall f1-score support
0 0.96 0.73 0.83 11439888
1 0.24 0.76 0.36 1271288
accuracy 0.73 12711176
macro avg 0.60 0.74 0.59 12711176
weighted avg 0.89 0.73 0.78 12711176
Accuracy: 0.7287705716607181
10-20%
precision recall f1-score support
0 0.92 0.68 0.78 18034328
1 0.41 0.78 0.53 5083660
accuracy 0.70 23117988
macro avg 0.66 0.73 0.66 23117988
weighted avg 0.80 0.70 0.73 23117988
Accuracy: 0.7012536731137675
precision recall f1-score support
0 0.75 0.48 0.58 5044441
1 0.53 0.78 0.63 3812372
accuracy 0.61 8856813
macro avg 0.64 0.63 0.61 8856813
weighted avg 0.65 0.61 0.60 8856813
Accuracy: 0.6096048318960782
20-40%
precision recall f1-score support
0 0.86 0.64 0.73 21029926
1 0.53 0.79 0.63 10666875
accuracy 0.69 31696801
macro avg 0.69 0.71 0.68 31696801
weighted avg 0.74 0.69 0.70 31696801
Accuracy: 0.6908608222009534
precision recall f1-score support
0 0.52 0.42 0.47 2995598
1 0.72 0.79 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: 0.6628544065478522
40-80%
precision recall f1-score support
0 0.81 0.63 0.71 22324987
1 0.60 0.79 0.68 15668439
accuracy 0.69 37993426
macro avg 0.70 0.71 0.69 37993426
weighted avg 0.72 0.69 0.70 37993426
Accuracy: 0.6937060111399272
precision recall f1-score support
0 0.33 0.40 0.36 1295061
1 0.84 0.79 0.81 5001564
accuracy 0.71 6296625
macro avg 0.58 0.60 0.59 6296625
weighted avg 0.73 0.71 0.72 6296625
Accuracy: 0.7080285073352788
80-90%
precision recall f1-score support
0 0.24 0.40 0.30 117971
1 0.88 0.78 0.83 692761
accuracy 0.73 810732
macro avg 0.56 0.59 0.56 810732
weighted avg 0.79 0.73 0.75 810732
Accuracy: 0.7266457966380999
90-100%
precision recall f1-score support
0 0.22 0.40 0.28 88944
1 0.89 0.78 0.83 577496
accuracy 0.73 666440
macro avg 0.56 0.59 0.56 666440
weighted avg 0.80 0.73 0.76 666440
Accuracy: 0.7304678590720846
Treshold: 0.6
All
precision recall f1-score support
0 0.75 0.77 0.76 22531902
1 0.68 0.65 0.67 16938696
accuracy 0.72 39470598
macro avg 0.71 0.71 0.71 39470598
weighted avg 0.72 0.72 0.72 39470598
Accuracy: 0.7205002822607349
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999799999870967
1-10%
precision recall f1-score support
0 0.95 0.86 0.90 11439888
1 0.33 0.61 0.43 1271288
accuracy 0.84 12711176
macro avg 0.64 0.74 0.66 12711176
weighted avg 0.89 0.84 0.86 12711176
Accuracy: 0.8353920203763995
10-20%
precision recall f1-score support
0 0.71 0.66 0.69 5044441
1 0.59 0.65 0.62 3812372
accuracy 0.66 8856813
macro avg 0.65 0.65 0.65 8856813
weighted avg 0.66 0.66 0.66 8856813
Accuracy: 0.6560426419751665
20-40%
precision recall f1-score support
0 0.49 0.61 0.54 2995598
1 0.76 0.66 0.70 5583215
accuracy 0.64 8578813
macro avg 0.62 0.63 0.62 8578813
weighted avg 0.66 0.64 0.65 8578813
Accuracy: 0.640351060222434
40-80%
precision recall f1-score support
0 0.30 0.58 0.40 1295061
1 0.86 0.65 0.74 5001564
accuracy 0.64 6296625
macro avg 0.58 0.62 0.57 6296625
weighted avg 0.74 0.64 0.67 6296625
Accuracy: 0.6391579616064161
80-90%
precision recall f1-score support
0 0.22 0.58 0.32 117971
1 0.90 0.65 0.75 692761
accuracy 0.64 810732
macro avg 0.56 0.61 0.53 810732
weighted avg 0.80 0.64 0.69 810732
Accuracy: 0.6372303054523566
90-100%
precision recall f1-score support
0 0.20 0.58 0.30 88944
1 0.91 0.65 0.76 577496
accuracy 0.64 666440
macro avg 0.55 0.61 0.53 666440
weighted avg 0.81 0.64 0.69 666440
Accuracy: 0.6373176880139247
Treshold: 0.7
All
precision recall f1-score support
0 0.67 0.91 0.77 22531902
1 0.77 0.40 0.53 16938696
accuracy 0.69 39470598
macro avg 0.72 0.66 0.65 39470598
weighted avg 0.71 0.69 0.67 39470598
Accuracy: 0.6929483054703149
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.93 0.96 0.95 11439888
1 0.52 0.36 0.43 1271288
accuracy 0.90 12711176
macro avg 0.73 0.66 0.69 12711176
weighted avg 0.89 0.90 0.89 12711176
Accuracy: 0.9030749003868721
10-20%
precision recall f1-score support
0 0.65 0.87 0.75 5044441
1 0.69 0.39 0.50 3812372
accuracy 0.66 8856813
macro avg 0.67 0.63 0.62 8856813
weighted avg 0.67 0.66 0.64 8856813
Accuracy: 0.6643434833726307
20-40%
precision recall f1-score support
0 0.42 0.81 0.56 2995598
1 0.80 0.41 0.54 5583215
accuracy 0.55 8578813
macro avg 0.61 0.61 0.55 8578813
weighted avg 0.67 0.55 0.55 8578813
Accuracy: 0.5502790421005797
40-80%
precision recall f1-score support
0 0.25 0.78 0.38 1295061
1 0.88 0.41 0.56 5001564
accuracy 0.48 6296625
macro avg 0.57 0.59 0.47 6296625
weighted avg 0.75 0.48 0.52 6296625
Accuracy: 0.4839400472475334
80-90%
precision recall f1-score support
0 0.18 0.77 0.29 117971
1 0.91 0.40 0.56 692761
accuracy 0.46 810732
macro avg 0.54 0.58 0.42 810732
weighted avg 0.80 0.46 0.52 810732
Accuracy: 0.4559003468470469
90-100%
precision recall f1-score support
0 0.16 0.76 0.27 88944
1 0.92 0.40 0.56 577496
accuracy 0.45 666440
macro avg 0.54 0.58 0.42 666440
weighted avg 0.82 0.45 0.52 666440
Accuracy: 0.4508012724326271
Treshold: 0.8
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
LR_9_decay_vtime
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.84 0.23 0.35 28055468
1 0.49 0.94 0.64 21729815
accuracy 0.54 49785283
macro avg 0.66 0.58 0.50 49785283
weighted avg 0.68 0.54 0.48 49785283
Accuracy: 0.5389093198485986
0-1%
precision recall f1-score support
0 0.87 0.23 0.36 27764588
1 0.43 0.94 0.59 17098553
accuracy 0.50 44863141
macro avg 0.65 0.59 0.47 44863141
weighted avg 0.70 0.50 0.45 44863141
Accuracy: 0.49991528680526404
1-10%
precision recall f1-score support
0 0.08 0.07 0.07 287564
1 0.94 0.95 0.94 4164787
accuracy 0.89 4452351
macro avg 0.51 0.51 0.51 4452351
weighted avg 0.88 0.89 0.89 4452351
Accuracy: 0.8895844015891828
10-20%
precision recall f1-score support
0 0.01 0.08 0.02 2455
1 0.99 0.94 0.97 257616
accuracy 0.94 260071
macro avg 0.50 0.51 0.50 260071
weighted avg 0.98 0.94 0.96 260071
Accuracy: 0.9368210988537745
20-40%
precision recall f1-score support
0 0.01 0.10 0.02 659
1 1.00 0.95 0.97 130568
accuracy 0.94 131227
macro avg 0.50 0.52 0.49 131227
weighted avg 0.99 0.94 0.97 131227
Accuracy: 0.9418945796215717
40-80%
precision recall f1-score support
0 0.01 0.16 0.01 169
1 1.00 0.94 0.97 65234
accuracy 0.94 65403
macro avg 0.50 0.55 0.49 65403
weighted avg 1.00 0.94 0.97 65403
Accuracy: 0.9425561518584774
80-90%
precision recall f1-score support
0 0.00 0.13 0.01 15
1 1.00 0.95 0.97 7371
accuracy 0.94 7386
macro avg 0.50 0.54 0.49 7386
weighted avg 1.00 0.94 0.97 7386
Accuracy: 0.9440834010289737
90-100%
precision recall f1-score support
0 0.02 0.28 0.03 18
1 1.00 0.95 0.97 5686
accuracy 0.94 5704
macro avg 0.51 0.61 0.50 5704
weighted avg 0.99 0.94 0.97 5704
Accuracy: 0.9431977559607293
Treshold: 0.5
All
precision recall f1-score support
0 0.75 0.51 0.61 28055468
1 0.55 0.78 0.65 21729815
accuracy 0.63 49785283
macro avg 0.65 0.64 0.63 49785283
weighted avg 0.66 0.63 0.62 49785283
Accuracy: 0.6269150061876719
precision recall f1-score support
0 0.75 0.51 0.61 28055468
1 0.55 0.78 0.65 21729815
accuracy 0.63 49785283
macro avg 0.65 0.64 0.63 49785283
weighted avg 0.66 0.63 0.62 49785283
Accuracy: 0.6269150061876719
0-1%
precision recall f1-score support
0 0.79 0.51 0.62 27764588
1 0.50 0.78 0.60 17098553
accuracy 0.61 44863141
macro avg 0.64 0.64 0.61 44863141
weighted avg 0.68 0.61 0.61 44863141
Accuracy: 0.6129199023314038
1-10%
precision recall f1-score support
0 0.07 0.23 0.11 287564
1 0.94 0.79 0.86 4164787
accuracy 0.75 4452351
macro avg 0.50 0.51 0.48 4452351
weighted avg 0.88 0.75 0.81 4452351
Accuracy: 0.7517740627367429
precision recall f1-score support
0 0.75 0.51 0.61 28052152
1 0.55 0.78 0.64 21263340
accuracy 0.63 49315492
macro avg 0.65 0.64 0.62 49315492
weighted avg 0.66 0.63 0.62 49315492
Accuracy: 0.6254560737222291
10-20%
precision recall f1-score support
0 0.75 0.51 0.61 28054607
1 0.55 0.78 0.64 21520956
accuracy 0.63 49575563
macro avg 0.65 0.64 0.63 49575563
weighted avg 0.66 0.63 0.62 49575563
Accuracy: 0.6262555202852663
precision recall f1-score support
0 0.01 0.24 0.02 2455
1 0.99 0.78 0.87 257616
accuracy 0.78 260071
macro avg 0.50 0.51 0.45 260071
weighted avg 0.98 0.78 0.87 260071
Accuracy: 0.7778491258156427
20-40%
precision recall f1-score support
0 0.75 0.51 0.61 28055266
1 0.55 0.78 0.65 21651524
accuracy 0.63 49706790
macro avg 0.65 0.64 0.63 49706790
weighted avg 0.66 0.63 0.62 49706790
Accuracy: 0.6266689319507456
precision recall f1-score support
0 0.01 0.28 0.01 659
1 1.00 0.79 0.88 130568
accuracy 0.78 131227
macro avg 0.50 0.53 0.45 131227
weighted avg 0.99 0.78 0.87 131227
Accuracy: 0.7828495660191881
40-80%
precision recall f1-score support
0 0.00 0.27 0.01 169
1 1.00 0.78 0.88 65234
accuracy 0.78 65403
macro avg 0.50 0.52 0.44 65403
weighted avg 1.00 0.78 0.88 65403
Accuracy: 0.7822576946011651
80-90%
precision recall f1-score support
0 0.00 0.33 0.01 15
1 1.00 0.78 0.88 7371
accuracy 0.78 7386
macro avg 0.50 0.56 0.44 7386
weighted avg 1.00 0.78 0.87 7386
Accuracy: 0.7787706471703222
90-100%
precision recall f1-score support
0 0.01 0.33 0.01 18
1 1.00 0.79 0.88 5686
accuracy 0.79 5704
macro avg 0.50 0.56 0.45 5704
weighted avg 0.99 0.79 0.88 5704
Accuracy: 0.7934782608695652
Treshold: 0.6
All
precision recall f1-score support
0 0.66 0.77 0.71 28055468
1 0.62 0.48 0.54 21729815
accuracy 0.64 49785283
macro avg 0.64 0.62 0.62 49785283
weighted avg 0.64 0.64 0.63 49785283
Accuracy: 0.6420526323009954
0-1%
precision recall f1-score support
0 0.70 0.77 0.74 27764588
1 0.56 0.47 0.51 17098553
accuracy 0.66 44863141
macro avg 0.63 0.62 0.62 44863141
weighted avg 0.65 0.66 0.65 44863141
Accuracy: 0.6572652369569932
1-10%
precision recall f1-score support
0 0.07 0.51 0.12 287564
1 0.94 0.50 0.65 4164787
accuracy 0.50 4452351
macro avg 0.50 0.51 0.39 4452351
weighted avg 0.88 0.50 0.62 4452351
Accuracy: 0.5033585627009192
10-20%
precision recall f1-score support
0 0.01 0.50 0.02 2455
1 0.99 0.50 0.67 257616
accuracy 0.50 260071
macro avg 0.50 0.50 0.34 260071
weighted avg 0.98 0.50 0.66 260071
Accuracy: 0.5031856685289786
20-40%
precision recall f1-score support
0 0.01 0.55 0.01 659
1 1.00 0.50 0.67 130568
accuracy 0.50 131227
macro avg 0.50 0.52 0.34 131227
weighted avg 0.99 0.50 0.67 131227
Accuracy: 0.5033796398606994
40-80%
precision recall f1-score support
0 0.00 0.53 0.01 169
1 1.00 0.51 0.67 65234
accuracy 0.51 65403
macro avg 0.50 0.52 0.34 65403
weighted avg 1.00 0.51 0.67 65403
Accuracy: 0.5063682094093543
80-90%
precision recall f1-score support
0 0.00 0.33 0.00 15
1 1.00 0.50 0.67 7371
accuracy 0.50 7386
macro avg 0.50 0.42 0.33 7386
weighted avg 1.00 0.50 0.66 7386
Accuracy: 0.499729217438397
90-100%
precision recall f1-score support
0 0.00 0.56 0.01 18
1 1.00 0.51 0.68 5686
accuracy 0.51 5704
macro avg 0.50 0.53 0.34 5704
weighted avg 0.99 0.51 0.68 5704
Accuracy: 0.5136746143057503
Treshold: 0.7
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.8
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.9
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.83 0.28 0.42 26119367
1 0.52 0.93 0.66 21615229
accuracy 0.57 47734596
macro avg 0.67 0.60 0.54 47734596
weighted avg 0.69 0.57 0.53 47734596
Accuracy: 0.5734690830943662
0-1%
precision recall f1-score support
0 0.99 0.44 0.61 12053010
1 0.06 0.91 0.12 508421
accuracy 0.46 12561431
macro avg 0.53 0.68 0.37 12561431
weighted avg 0.95 0.46 0.59 12561431
Accuracy: 0.4628935190584576
1-10%
precision recall f1-score support
0 0.65 0.14 0.23 13368467
1 0.54 0.93 0.68 14466820
accuracy 0.55 27835287
macro avg 0.59 0.53 0.46 27835287
weighted avg 0.59 0.55 0.46 27835287
Accuracy: 0.5500978667832669
10-20%
precision recall f1-score support
0 0.18 0.10 0.13 503365
1 0.87 0.93 0.90 3387274
accuracy 0.82 3890639
macro avg 0.53 0.52 0.52 3890639
weighted avg 0.79 0.82 0.80 3890639
Accuracy: 0.8238428186218254
20-40%
precision recall f1-score support
0 0.10 0.11 0.10 147488
1 0.93 0.93 0.93 1970425
accuracy 0.87 2117913
macro avg 0.52 0.52 0.52 2117913
weighted avg 0.87 0.87 0.87 2117913
Accuracy: 0.8721297805906097
40-80%
precision recall f1-score support
0 0.06 0.11 0.08 41616
1 0.96 0.93 0.95 1064279
accuracy 0.90 1105895
macro avg 0.51 0.52 0.51 1105895
weighted avg 0.93 0.90 0.91 1105895
Accuracy: 0.8973220784975066
80-90%
precision recall f1-score support
0 0.04 0.12 0.06 3093
1 0.98 0.93 0.95 120943
accuracy 0.91 124036
macro avg 0.51 0.53 0.51 124036
weighted avg 0.95 0.91 0.93 124036
Accuracy: 0.9071398626205295
90-100%
precision recall f1-score support
0 0.04 0.12 0.06 2328
1 0.98 0.93 0.95 97067
accuracy 0.91 99395
macro avg 0.51 0.52 0.51 99395
weighted avg 0.96 0.91 0.93 99395
Accuracy: 0.9089592031792344
Treshold: 0.5
All
precision recall f1-score support
0 0.74 0.58 0.65 26119367
1 0.60 0.76 0.67 21615229
accuracy 0.66 47734596
macro avg 0.67 0.67 0.66 47734596
weighted avg 0.68 0.66 0.66 47734596
Accuracy: 0.6589189316696008
precision recall f1-score support
0 0.74 0.58 0.65 26119367
1 0.60 0.76 0.67 21615229
accuracy 0.66 47734596
macro avg 0.67 0.67 0.66 47734596
weighted avg 0.68 0.66 0.66 47734596
Accuracy: 0.6589189316696008
0-1%
precision recall f1-score support
0 0.98 0.78 0.87 12053010
1 0.12 0.70 0.20 508421
accuracy 0.78 12561431
macro avg 0.55 0.74 0.54 12561431
weighted avg 0.95 0.78 0.84 12561431
Accuracy: 0.776987749246085
precision recall f1-score support
0 0.98 0.78 0.87 12053010
1 0.12 0.70 0.20 508421
accuracy 0.78 12561431
macro avg 0.55 0.74 0.54 12561431
weighted avg 0.95 0.78 0.84 12561431
Accuracy: 0.776987749246085
1-10%
precision recall f1-score support
0 0.80 0.58 0.68 25421477
1 0.52 0.76 0.61 14975241
accuracy 0.65 40396718
macro avg 0.66 0.67 0.65 40396718
weighted avg 0.70 0.65 0.65 40396718
Accuracy: 0.6481008679962565
precision recall f1-score support
0 0.61 0.41 0.49 13368467
1 0.58 0.76 0.66 14466820
accuracy 0.59 27835287
macro avg 0.59 0.58 0.57 27835287
weighted avg 0.59 0.59 0.58 27835287
Accuracy: 0.5899371542316054
10-20%
precision recall f1-score support
0 0.77 0.58 0.66 25924842
1 0.56 0.76 0.64 18362515
accuracy 0.65 44287357
macro avg 0.67 0.67 0.65 44287357
weighted avg 0.68 0.65 0.65 44287357
Accuracy: 0.6531529077248841
precision recall f1-score support
0 0.16 0.31 0.21 503365
1 0.88 0.76 0.82 3387274
accuracy 0.71 3890639
macro avg 0.52 0.54 0.52 3890639
weighted avg 0.79 0.71 0.74 3890639
Accuracy: 0.7056085131516956
20-40%
precision recall f1-score support
0 0.75 0.58 0.65 26072330
1 0.58 0.76 0.66 20332940
accuracy 0.66 46405270
macro avg 0.67 0.67 0.66 46405270
weighted avg 0.68 0.66 0.66 46405270
Accuracy: 0.6565860946396821
precision recall f1-score support
0 0.09 0.31 0.14 147488
1 0.94 0.76 0.84 1970425
accuracy 0.73 2117913
macro avg 0.51 0.53 0.49 2117913
weighted avg 0.88 0.73 0.79 2117913
Accuracy: 0.7283769446620328
40-80%
precision recall f1-score support
0 0.74 0.58 0.65 26113946
1 0.59 0.76 0.67 21397219
accuracy 0.66 47511165
macro avg 0.67 0.67 0.66 47511165
weighted avg 0.68 0.66 0.66 47511165
Accuracy: 0.6585215706666001
precision recall f1-score support
0 0.05 0.31 0.08 41616
1 0.97 0.76 0.85 1064279
accuracy 0.74 1105895
macro avg 0.51 0.53 0.47 1105895
weighted avg 0.93 0.74 0.82 1105895
Accuracy: 0.7397374976828722
80-90%
precision recall f1-score support
0 0.03 0.32 0.06 3093
1 0.98 0.75 0.85 120943
accuracy 0.74 124036
macro avg 0.51 0.54 0.46 124036
weighted avg 0.95 0.74 0.83 124036
Accuracy: 0.7428327259827792
90-100%
precision recall f1-score support
0 0.03 0.31 0.05 2328
1 0.98 0.75 0.85 97067
accuracy 0.74 99395
macro avg 0.50 0.53 0.45 99395
weighted avg 0.96 0.74 0.83 99395
Accuracy: 0.7441420594597313
Treshold: 0.6
All
precision recall f1-score support
0 0.67 0.76 0.71 26119367
1 0.65 0.56 0.60 21615229
accuracy 0.67 47734596
macro avg 0.66 0.66 0.66 47734596
weighted avg 0.66 0.67 0.66 47734596
Accuracy: 0.6657563834833754
0-1%
precision recall f1-score support
0 0.98 0.91 0.94 12053010
1 0.20 0.49 0.28 508421
accuracy 0.90 12561431
macro avg 0.59 0.70 0.61 12561431
weighted avg 0.95 0.90 0.92 12561431
Accuracy: 0.8974491839345374
1-10%
precision recall f1-score support
0 0.57 0.63 0.59 13368467
1 0.62 0.55 0.58 14466820
accuracy 0.59 27835287
macro avg 0.59 0.59 0.59 27835287
weighted avg 0.59 0.59 0.59 27835287
Accuracy: 0.5894146879103492
10-20%
precision recall f1-score support
0 0.14 0.49 0.22 503365
1 0.88 0.57 0.69 3387274
accuracy 0.56 3890639
macro avg 0.51 0.53 0.46 3890639
weighted avg 0.79 0.56 0.63 3890639
Accuracy: 0.5584344885248927
20-40%
precision recall f1-score support
0 0.08 0.49 0.13 147488
1 0.94 0.56 0.70 1970425
accuracy 0.56 2117913
macro avg 0.51 0.53 0.42 2117913
weighted avg 0.88 0.56 0.66 2117913
Accuracy: 0.5591060633746523
40-80%
precision recall f1-score support
0 0.04 0.49 0.08 41616
1 0.97 0.56 0.71 1064279
accuracy 0.56 1105895
macro avg 0.50 0.53 0.39 1105895
weighted avg 0.93 0.56 0.69 1105895
Accuracy: 0.5591344567070111
80-90%
precision recall f1-score support
0 0.03 0.50 0.05 3093
1 0.98 0.56 0.71 120943
accuracy 0.56 124036
macro avg 0.50 0.53 0.38 124036
weighted avg 0.95 0.56 0.70 124036
Accuracy: 0.5583056531974588
90-100%
precision recall f1-score support
0 0.03 0.48 0.05 2328
1 0.98 0.56 0.71 97067
accuracy 0.56 99395
macro avg 0.50 0.52 0.38 99395
weighted avg 0.96 0.56 0.70 99395
Accuracy: 0.5577745359424519
Treshold: 0.7
All
precision recall f1-score support
0 0.58 0.95 0.72 26119367
1 0.72 0.16 0.26 21615229
accuracy 0.59 47734596
macro avg 0.65 0.55 0.49 47734596
weighted avg 0.64 0.59 0.51 47734596
Accuracy: 0.59157576194842
0-1%
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.41 0.13 0.20 508421
accuracy 0.96 12561431
macro avg 0.69 0.56 0.59 12561431
weighted avg 0.94 0.96 0.95 12561431
Accuracy: 0.9571753409305038
1-10%
precision recall f1-score support
0 0.50 0.92 0.65 13368467
1 0.67 0.15 0.25 14466820
accuracy 0.52 27835287
macro avg 0.58 0.54 0.45 27835287
weighted avg 0.59 0.52 0.44 27835287
Accuracy: 0.5207842117812544
10-20%
precision recall f1-score support
0 0.13 0.85 0.23 503365
1 0.88 0.17 0.28 3387274
accuracy 0.26 3890639
macro avg 0.51 0.51 0.26 3890639
weighted avg 0.79 0.26 0.28 3890639
Accuracy: 0.25682979068476924
20-40%
precision recall f1-score support
0 0.07 0.85 0.13 147488
1 0.94 0.17 0.29 1970425
accuracy 0.22 2117913
macro avg 0.50 0.51 0.21 2117913
weighted avg 0.88 0.22 0.28 2117913
Accuracy: 0.21765294419553588
40-80%
precision recall f1-score support
0 0.04 0.85 0.07 41616
1 0.97 0.17 0.29 1064279
accuracy 0.20 1105895
macro avg 0.50 0.51 0.18 1105895
weighted avg 0.93 0.20 0.28 1105895
Accuracy: 0.19608281075508976
80-90%
precision recall f1-score support
0 0.03 0.85 0.05 3093
1 0.98 0.17 0.29 120943
accuracy 0.19 124036
macro avg 0.50 0.51 0.17 124036
weighted avg 0.95 0.19 0.29 124036
Accuracy: 0.18934825373278724
90-100%
precision recall f1-score support
0 0.02 0.85 0.05 2328
1 0.98 0.17 0.29 97067
accuracy 0.19 99395
macro avg 0.50 0.51 0.17 99395
weighted avg 0.96 0.19 0.28 99395
Accuracy: 0.18537149756023946
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.83 0.31 0.45 24893266
1 0.53 0.92 0.67 20563095
accuracy 0.59 45456361
macro avg 0.68 0.62 0.56 45456361
weighted avg 0.69 0.59 0.55 45456361
Accuracy: 0.588235582694356
0-1%
precision recall f1-score support
0 1.00 0.72 0.83 4873589
1 0.00 0.91 0.01 3872
accuracy 0.72 4877461
macro avg 0.50 0.81 0.42 4877461
weighted avg 1.00 0.72 0.83 4877461
Accuracy: 0.7155848093916076
1-10%
precision recall f1-score support
0 0.86 0.23 0.36 16949103
1 0.36 0.92 0.52 8016772
accuracy 0.45 24965875
macro avg 0.61 0.57 0.44 24965875
weighted avg 0.70 0.45 0.41 24965875
Accuracy: 0.4500897324848418
10-20%
precision recall f1-score support
0 0.40 0.13 0.20 2057494
1 0.74 0.93 0.82 5461156
accuracy 0.71 7518650
macro avg 0.57 0.53 0.51 7518650
weighted avg 0.65 0.71 0.65 7518650
Accuracy: 0.7093216202376756
20-40%
precision recall f1-score support
0 0.24 0.13 0.17 744974
1 0.85 0.93 0.89 4060539
accuracy 0.80 4805513
macro avg 0.55 0.53 0.53 4805513
weighted avg 0.76 0.80 0.78 4805513
Accuracy: 0.8020350792933033
40-80%
precision recall f1-score support
0 0.14 0.13 0.14 235909
1 0.92 0.92 0.92 2483775
accuracy 0.85 2719684
macro avg 0.53 0.53 0.53 2719684
weighted avg 0.85 0.85 0.85 2719684
Accuracy: 0.8549563111008485
80-90%
precision recall f1-score support
0 0.10 0.14 0.11 18577
1 0.94 0.92 0.93 296772
accuracy 0.88 315349
macro avg 0.52 0.53 0.52 315349
weighted avg 0.89 0.88 0.88 315349
Accuracy: 0.8754871586718207
90-100%
precision recall f1-score support
0 0.09 0.14 0.11 13620
1 0.95 0.92 0.94 240209
accuracy 0.88 253829
macro avg 0.52 0.53 0.52 253829
weighted avg 0.90 0.88 0.89 253829
Accuracy: 0.879733994145665
Treshold: 0.5
All
precision recall f1-score support
0 0.76 0.60 0.67 24893266
1 0.61 0.77 0.68 20563095
accuracy 0.68 45456361
macro avg 0.69 0.68 0.68 45456361
weighted avg 0.69 0.68 0.67 45456361
Accuracy: 0.6755377756701642
precision recall f1-score support
0 0.76 0.60 0.67 24893266
1 0.61 0.77 0.68 20563095
accuracy 0.68 45456361
macro avg 0.69 0.68 0.68 45456361
weighted avg 0.69 0.68 0.67 45456361
Accuracy: 0.6755377756701642
0-1%
precision recall f1-score support
0 1.00 0.95 0.97 4873589
1 0.01 0.71 0.02 3872
accuracy 0.95 4877461
macro avg 0.51 0.83 0.50 4877461
weighted avg 1.00 0.95 0.97 4877461
Accuracy: 0.9478956366847423
precision recall f1-score support
0 1.00 0.95 0.97 4873589
1 0.01 0.71 0.02 3872
accuracy 0.95 4877461
macro avg 0.51 0.83 0.50 4877461
weighted avg 1.00 0.95 0.97 4877461
Accuracy: 0.9478956366847423
1-10%
precision recall f1-score support
0 0.83 0.54 0.65 16949103
1 0.44 0.76 0.56 8016772
accuracy 0.61 24965875
macro avg 0.63 0.65 0.61 24965875
weighted avg 0.70 0.61 0.62 24965875
Accuracy: 0.6123784165385752
precision recall f1-score support
0 0.88 0.63 0.74 21822692
1 0.43 0.76 0.55 8020644
accuracy 0.67 29843336
macro avg 0.66 0.70 0.64 29843336
weighted avg 0.76 0.67 0.69 29843336
Accuracy: 0.6672138463340693
10-20%
precision recall f1-score support
0 0.82 0.61 0.70 23880186
1 0.53 0.77 0.62 13481800
accuracy 0.67 37361986
macro avg 0.67 0.69 0.66 37361986
weighted avg 0.72 0.67 0.67 37361986
Accuracy: 0.6666169726630699
precision recall f1-score support
0 0.38 0.37 0.37 2057494
1 0.77 0.78 0.77 5461156
accuracy 0.66 7518650
macro avg 0.57 0.57 0.57 7518650
weighted avg 0.66 0.66 0.66 7518650
Accuracy: 0.6642478370452143
20-40%
precision recall f1-score support
0 0.78 0.60 0.68 24625160
1 0.58 0.77 0.66 17542339
accuracy 0.67 42167499
macro avg 0.68 0.69 0.67 42167499
weighted avg 0.70 0.67 0.67 42167499
Accuracy: 0.6711966483950115
precision recall f1-score support
0 0.22 0.36 0.27 744974
1 0.87 0.77 0.82 4060539
accuracy 0.71 4805513
macro avg 0.54 0.56 0.54 4805513
weighted avg 0.77 0.71 0.73 4805513
Accuracy: 0.7068027908778938
40-80%
precision recall f1-score support
0 0.13 0.35 0.19 235909
1 0.93 0.77 0.84 2483775
accuracy 0.73 2719684
macro avg 0.53 0.56 0.51 2719684
weighted avg 0.86 0.73 0.78 2719684
Accuracy: 0.729682566062822
precision recall f1-score support
0 0.76 0.60 0.67 24861069
1 0.61 0.77 0.68 20026114
accuracy 0.67 44887183
macro avg 0.68 0.68 0.67 44887183
weighted avg 0.69 0.67 0.67 44887183
Accuracy: 0.6747402705133
80-90%
precision recall f1-score support
0 0.09 0.36 0.14 18577
1 0.95 0.76 0.84 296772
accuracy 0.74 315349
macro avg 0.52 0.56 0.49 315349
weighted avg 0.90 0.74 0.80 315349
Accuracy: 0.737205445395419
90-100%
precision recall f1-score support
0 0.08 0.36 0.13 13620
1 0.95 0.76 0.85 240209
accuracy 0.74 253829
macro avg 0.52 0.56 0.49 253829
weighted avg 0.91 0.74 0.81 253829
Accuracy: 0.7399548514945101
Treshold: 0.6
All
precision recall f1-score support
0 0.69 0.76 0.73 24893266
1 0.67 0.60 0.63 20563095
accuracy 0.69 45456361
macro avg 0.68 0.68 0.68 45456361
weighted avg 0.68 0.69 0.68 45456361
Accuracy: 0.6853518476765001
0-1%
precision recall f1-score support
0 1.00 0.99 0.99 4873589
1 0.04 0.53 0.07 3872
accuracy 0.99 4877461
macro avg 0.52 0.76 0.53 4877461
weighted avg 1.00 0.99 0.99 4877461
Accuracy: 0.9888999625009816
1-10%
precision recall f1-score support
0 0.79 0.73 0.76 16949103
1 0.51 0.58 0.55 8016772
accuracy 0.69 24965875
macro avg 0.65 0.66 0.65 24965875
weighted avg 0.70 0.69 0.69 24965875
Accuracy: 0.6866411051084731
10-20%
precision recall f1-score support
0 0.34 0.54 0.42 2057494
1 0.78 0.61 0.68 5461156
accuracy 0.59 7518650
macro avg 0.56 0.57 0.55 7518650
weighted avg 0.66 0.59 0.61 7518650
Accuracy: 0.587527149155766
20-40%
precision recall f1-score support
0 0.19 0.51 0.28 744974
1 0.87 0.60 0.71 4060539
accuracy 0.59 4805513
macro avg 0.53 0.56 0.50 4805513
weighted avg 0.77 0.59 0.65 4805513
Accuracy: 0.5895420530544814
40-80%
precision recall f1-score support
0 0.11 0.51 0.18 235909
1 0.93 0.60 0.73 2483775
accuracy 0.59 2719684
macro avg 0.52 0.55 0.45 2719684
weighted avg 0.86 0.59 0.68 2719684
Accuracy: 0.589262576093399
80-90%
precision recall f1-score support
0 0.07 0.51 0.13 18577
1 0.95 0.59 0.73 296772
accuracy 0.59 315349
macro avg 0.51 0.55 0.43 315349
weighted avg 0.90 0.59 0.69 315349
Accuracy: 0.5877012452869678
90-100%
precision recall f1-score support
0 0.07 0.51 0.12 13620
1 0.96 0.59 0.73 240209
accuracy 0.59 253829
macro avg 0.51 0.55 0.42 253829
weighted avg 0.91 0.59 0.70 253829
Accuracy: 0.5881203487387178
Treshold: 0.7
All
precision recall f1-score support
0 0.60 0.93 0.73 24893266
1 0.74 0.26 0.38 20563095
accuracy 0.62 45456361
macro avg 0.67 0.59 0.56 45456361
weighted avg 0.67 0.62 0.57 45456361
Accuracy: 0.6235824288706261
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.25 0.21 0.23 3872
accuracy 1.00 4877461
macro avg 0.62 0.60 0.61 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9988678535820174
1-10%
precision recall f1-score support
0 0.72 0.93 0.81 16949103
1 0.62 0.24 0.35 8016772
accuracy 0.71 24965875
macro avg 0.67 0.59 0.58 24965875
weighted avg 0.69 0.71 0.66 24965875
Accuracy: 0.7086113344715537
10-20%
precision recall f1-score support
0 0.29 0.81 0.43 2057494
1 0.79 0.26 0.39 5461156
accuracy 0.41 7518650
macro avg 0.54 0.54 0.41 7518650
weighted avg 0.65 0.41 0.40 7518650
Accuracy: 0.4131598092742713
20-40%
precision recall f1-score support
0 0.17 0.79 0.27 744974
1 0.87 0.26 0.41 4060539
accuracy 0.35 4805513
macro avg 0.52 0.53 0.34 4805513
weighted avg 0.76 0.35 0.39 4805513
Accuracy: 0.34675049261129876
40-80%
precision recall f1-score support
0 0.09 0.79 0.17 235909
1 0.93 0.26 0.41 2483775
accuracy 0.31 2719684
macro avg 0.51 0.53 0.29 2719684
weighted avg 0.86 0.31 0.39 2719684
Accuracy: 0.31007793552486246
80-90%
precision recall f1-score support
0 0.06 0.79 0.12 18577
1 0.95 0.26 0.41 296772
accuracy 0.29 315349
macro avg 0.51 0.53 0.26 315349
weighted avg 0.90 0.29 0.39 315349
Accuracy: 0.2940519868463195
90-100%
precision recall f1-score support
0 0.06 0.79 0.11 13620
1 0.96 0.26 0.41 240209
accuracy 0.29 253829
macro avg 0.51 0.53 0.26 253829
weighted avg 0.91 0.29 0.40 253829
Accuracy: 0.29147969696134013
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.85 0.37 0.51 22531902
1 0.52 0.92 0.66 16938696
accuracy 0.60 39470598
macro avg 0.69 0.64 0.59 39470598
weighted avg 0.71 0.60 0.58 39470598
Accuracy: 0.6018024859922315
0-1%
precision recall f1-score support
0 1.00 0.97 0.98 1549999
1 0.00 0.00 0.00 0
accuracy 0.97 1549999
macro avg 0.50 0.48 0.49 1549999
weighted avg 1.00 0.97 0.98 1549999
Accuracy: 0.9667077204565938
1-10%
precision recall f1-score support
0 0.97 0.43 0.59 11439888
1 0.15 0.90 0.25 1271288
accuracy 0.47 12711176
macro avg 0.56 0.66 0.42 12711176
weighted avg 0.89 0.47 0.56 12711176
Accuracy: 0.47376198708915684
10-20%
precision recall f1-score support
0 0.76 0.21 0.33 5044441
1 0.47 0.91 0.62 3812372
accuracy 0.51 8856813
macro avg 0.62 0.56 0.47 8856813
weighted avg 0.64 0.51 0.46 8856813
Accuracy: 0.5138466850321893
20-40%
precision recall f1-score support
0 0.54 0.18 0.27 2995598
1 0.68 0.92 0.78 5583215
accuracy 0.66 8578813
macro avg 0.61 0.55 0.52 8578813
weighted avg 0.63 0.66 0.60 8578813
Accuracy: 0.6609011060154826
40-80%
precision recall f1-score support
0 0.35 0.17 0.23 1295061
1 0.81 0.92 0.86 5001564
accuracy 0.76 6296625
macro avg 0.58 0.54 0.55 6296625
weighted avg 0.72 0.76 0.73 6296625
Accuracy: 0.7643829829472137
80-90%
precision recall f1-score support
0 0.26 0.17 0.21 117971
1 0.87 0.92 0.89 692761
accuracy 0.81 810732
macro avg 0.56 0.54 0.55 810732
weighted avg 0.78 0.81 0.79 810732
Accuracy: 0.8080019044517793
90-100%
precision recall f1-score support
0 0.24 0.17 0.20 88944
1 0.88 0.92 0.90 577496
accuracy 0.82 666440
macro avg 0.56 0.54 0.55 666440
weighted avg 0.79 0.82 0.80 666440
Accuracy: 0.8164861052757938
Treshold: 0.5
All
precision recall f1-score support
0 0.79 0.63 0.70 22531902
1 0.61 0.78 0.69 16938696
accuracy 0.70 39470598
macro avg 0.70 0.71 0.70 39470598
weighted avg 0.72 0.70 0.70 39470598
Accuracy: 0.69614118843601
precision recall f1-score support
0 0.79 0.63 0.70 22531902
1 0.61 0.78 0.69 16938696
accuracy 0.70 39470598
macro avg 0.70 0.71 0.70 39470598
weighted avg 0.72 0.70 0.70 39470598
Accuracy: 0.69614118843601
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9993296769868883
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9993296769868883
1-10%
precision recall f1-score support
0 0.97 0.76 0.85 12989887
1 0.24 0.76 0.36 1271288
accuracy 0.76 14261175
macro avg 0.60 0.76 0.61 14261175
weighted avg 0.90 0.76 0.81 14261175
Accuracy: 0.7609895397819605
precision recall f1-score support
0 0.96 0.73 0.83 11439888
1 0.24 0.76 0.36 1271288
accuracy 0.73 12711176
macro avg 0.60 0.74 0.60 12711176
weighted avg 0.89 0.73 0.78 12711176
Accuracy: 0.7319263772289833
10-20%
precision recall f1-score support
0 0.92 0.68 0.78 18034328
1 0.41 0.78 0.54 5083660
accuracy 0.70 23117988
macro avg 0.66 0.73 0.66 23117988
weighted avg 0.80 0.70 0.73 23117988
Accuracy: 0.7036091549143464
precision recall f1-score support
0 0.75 0.48 0.59 5044441
1 0.53 0.78 0.63 3812372
accuracy 0.61 8856813
macro avg 0.64 0.63 0.61 8856813
weighted avg 0.65 0.61 0.61 8856813
Accuracy: 0.6112156822098423
20-40%
precision recall f1-score support
0 0.85 0.65 0.74 21029926
1 0.53 0.78 0.63 10666875
accuracy 0.69 31696801
macro avg 0.69 0.71 0.68 31696801
weighted avg 0.74 0.69 0.70 31696801
Accuracy: 0.6925724775822014
precision recall f1-score support
0 0.52 0.43 0.47 2995598
1 0.72 0.79 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: 0.6628310932992711
40-80%
precision recall f1-score support
0 0.81 0.63 0.71 22324987
1 0.60 0.78 0.68 15668439
accuracy 0.69 37993426
macro avg 0.70 0.71 0.69 37993426
weighted avg 0.72 0.69 0.70 37993426
Accuracy: 0.694948831410992
precision recall f1-score support
0 0.33 0.41 0.37 1295061
1 0.84 0.78 0.81 5001564
accuracy 0.71 6296625
macro avg 0.58 0.60 0.59 6296625
weighted avg 0.73 0.71 0.72 6296625
Accuracy: 0.7069112421336827
80-90%
precision recall f1-score support
0 0.24 0.41 0.30 117971
1 0.89 0.78 0.83 692761
accuracy 0.73 810732
macro avg 0.56 0.59 0.56 810732
weighted avg 0.79 0.73 0.75 810732
Accuracy: 0.7250978128407415
90-100%
precision recall f1-score support
0 0.22 0.41 0.29 88944
1 0.89 0.78 0.83 577496
accuracy 0.73 666440
macro avg 0.56 0.59 0.56 666440
weighted avg 0.80 0.73 0.76 666440
Accuracy: 0.7288908228797791
Treshold: 0.6
All
precision recall f1-score support
0 0.75 0.78 0.76 22531902
1 0.68 0.65 0.67 16938696
accuracy 0.72 39470598
macro avg 0.71 0.71 0.71 39470598
weighted avg 0.72 0.72 0.72 39470598
Accuracy: 0.7204513851044263
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999799999870967
1-10%
precision recall f1-score support
0 0.95 0.86 0.90 11439888
1 0.33 0.61 0.43 1271288
accuracy 0.84 12711176
macro avg 0.64 0.73 0.67 12711176
weighted avg 0.89 0.84 0.86 12711176
Accuracy: 0.8360128126618654
10-20%
precision recall f1-score support
0 0.71 0.67 0.69 5044441
1 0.59 0.64 0.62 3812372
accuracy 0.66 8856813
macro avg 0.65 0.65 0.65 8856813
weighted avg 0.66 0.66 0.66 8856813
Accuracy: 0.6561427908661953
20-40%
precision recall f1-score support
0 0.49 0.61 0.54 2995598
1 0.76 0.66 0.70 5583215
accuracy 0.64 8578813
macro avg 0.62 0.63 0.62 8578813
weighted avg 0.66 0.64 0.65 8578813
Accuracy: 0.6398600832073155
40-80%
precision recall f1-score support
0 0.30 0.59 0.40 1295061
1 0.86 0.65 0.74 5001564
accuracy 0.64 6296625
macro avg 0.58 0.62 0.57 6296625
weighted avg 0.74 0.64 0.67 6296625
Accuracy: 0.6383510213805015
80-90%
precision recall f1-score support
0 0.22 0.58 0.32 117971
1 0.90 0.65 0.75 692761
accuracy 0.64 810732
macro avg 0.56 0.61 0.53 810732
weighted avg 0.80 0.64 0.69 810732
Accuracy: 0.6362965813610416
90-100%
precision recall f1-score support
0 0.20 0.58 0.30 88944
1 0.91 0.65 0.75 577496
accuracy 0.64 666440
macro avg 0.55 0.61 0.53 666440
weighted avg 0.81 0.64 0.69 666440
Accuracy: 0.6363303523197887
Treshold: 0.7
All
precision recall f1-score support
0 0.67 0.91 0.77 22531902
1 0.77 0.41 0.53 16938696
accuracy 0.69 39470598
macro avg 0.72 0.66 0.65 39470598
weighted avg 0.71 0.69 0.67 39470598
Accuracy: 0.6937823693474318
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.93 0.96 0.95 11439888
1 0.52 0.36 0.43 1271288
accuracy 0.90 12711176
macro avg 0.73 0.66 0.69 12711176
weighted avg 0.89 0.90 0.89 12711176
Accuracy: 0.9026463011762248
10-20%
precision recall f1-score support
0 0.66 0.87 0.75 5044441
1 0.69 0.40 0.51 3812372
accuracy 0.66 8856813
macro avg 0.67 0.63 0.63 8856813
weighted avg 0.67 0.66 0.64 8856813
Accuracy: 0.6646303811540336
20-40%
precision recall f1-score support
0 0.43 0.81 0.56 2995598
1 0.80 0.41 0.55 5583215
accuracy 0.55 8578813
macro avg 0.61 0.61 0.55 8578813
weighted avg 0.67 0.55 0.55 8578813
Accuracy: 0.5518986134795105
40-80%
precision recall f1-score support
0 0.25 0.78 0.38 1295061
1 0.88 0.41 0.56 5001564
accuracy 0.49 6296625
macro avg 0.57 0.59 0.47 6296625
weighted avg 0.75 0.49 0.52 6296625
Accuracy: 0.4866735751295337
80-90%
precision recall f1-score support
0 0.18 0.76 0.29 117971
1 0.91 0.41 0.56 692761
accuracy 0.46 810732
macro avg 0.54 0.59 0.43 810732
weighted avg 0.80 0.46 0.52 810732
Accuracy: 0.4590259173191634
90-100%
precision recall f1-score support
0 0.16 0.76 0.27 88944
1 0.92 0.41 0.56 577496
accuracy 0.45 666440
macro avg 0.54 0.58 0.42 666440
weighted avg 0.82 0.45 0.52 666440
Accuracy: 0.45408438869215534
Treshold: 0.8
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
LR_decay_rtime
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.96 0.29 0.45 28055468
1 0.52 0.98 0.68 21729815
accuracy 0.59 49785283
macro avg 0.74 0.64 0.56 49785283
weighted avg 0.77 0.59 0.55 49785283
Accuracy: 0.5934621683279374
0-1%
precision recall f1-score support
0 0.96 0.29 0.45 27764588
1 0.46 0.98 0.63 17098553
accuracy 0.56 44863141
macro avg 0.71 0.64 0.54 44863141
weighted avg 0.77 0.56 0.52 44863141
Accuracy: 0.5553687602925529
1-10%
precision recall f1-score support
0 0.10 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.52 0.50 0.48 4452351
weighted avg 0.88 0.94 0.90 4452351
Accuracy: 0.9351508899455591
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 0.76 0.49 0.59 28055468
1 0.55 0.80 0.65 21729815
accuracy 0.62 49785283
macro avg 0.65 0.64 0.62 49785283
weighted avg 0.67 0.62 0.62 49785283
Accuracy: 0.6244382903276858
precision recall f1-score support
0 0.76 0.49 0.59 28055468
1 0.55 0.80 0.65 21729815
accuracy 0.62 49785283
macro avg 0.65 0.64 0.62 49785283
weighted avg 0.67 0.62 0.62 49785283
Accuracy: 0.6244382903276858
0-1%
precision recall f1-score support
0 0.78 0.49 0.60 27764588
1 0.48 0.77 0.59 17098553
accuracy 0.60 44863141
macro avg 0.63 0.63 0.60 44863141
weighted avg 0.67 0.60 0.60 44863141
Accuracy: 0.5972438933778622
precision recall f1-score support
0 0.78 0.49 0.60 27764588
1 0.48 0.77 0.59 17098553
accuracy 0.60 44863141
macro avg 0.63 0.63 0.60 44863141
weighted avg 0.67 0.60 0.60 44863141
Accuracy: 0.5972438933778622
1-10%
precision recall f1-score support
0 0.09 0.12 0.10 287564
1 0.94 0.91 0.92 4164787
accuracy 0.86 4452351
macro avg 0.51 0.52 0.51 4452351
weighted avg 0.88 0.86 0.87 4452351
Accuracy: 0.8597300617134633
precision recall f1-score support
0 0.76 0.49 0.59 28052152
1 0.54 0.80 0.65 21263340
accuracy 0.62 49315492
macro avg 0.65 0.64 0.62 49315492
weighted avg 0.67 0.62 0.62 49315492
Accuracy: 0.6209419344330986
10-20%
precision recall f1-score support
0 0.76 0.49 0.59 28054607
1 0.54 0.80 0.65 21520956
accuracy 0.62 49575563
macro avg 0.65 0.64 0.62 49575563
weighted avg 0.67 0.62 0.62 49575563
Accuracy: 0.6228689122501746
precision recall f1-score support
0 0.01 0.00 0.00 2455
1 0.99 1.00 0.99 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.98 260071
Accuracy: 0.9882685881932242
20-40%
precision recall f1-score support
0 0.76 0.49 0.59 28055266
1 0.55 0.80 0.65 21651524
accuracy 0.62 49706790
macro avg 0.65 0.64 0.62 49706790
weighted avg 0.67 0.62 0.62 49706790
Accuracy: 0.623849578699409
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: 0.9943304350476655
40-80%
precision recall f1-score support
0 0.76 0.49 0.59 28055435
1 0.55 0.80 0.65 21716758
accuracy 0.62 49772193
macro avg 0.65 0.64 0.62 49772193
weighted avg 0.67 0.62 0.62 49772193
Accuracy: 0.6243402013650473
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: 0.9972172530312066
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: 0.9978337395071757
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 0.64 0.65 0.64 28055468
1 0.53 0.52 0.53 21729815
accuracy 0.59 49785283
macro avg 0.59 0.58 0.58 49785283
weighted avg 0.59 0.59 0.59 49785283
Accuracy: 0.5927141360228886
0-1%
precision recall f1-score support
0 0.69 0.65 0.67 27764588
1 0.48 0.52 0.50 17098553
accuracy 0.60 44863141
macro avg 0.58 0.59 0.58 44863141
weighted avg 0.61 0.60 0.60 44863141
Accuracy: 0.6006951006841006
1-10%
precision recall f1-score support
0 0.07 0.61 0.13 287564
1 0.95 0.47 0.63 4164787
accuracy 0.48 4452351
macro avg 0.51 0.54 0.38 4452351
weighted avg 0.89 0.48 0.60 4452351
Accuracy: 0.47973553747222536
10-20%
precision recall f1-score support
0 0.01 0.13 0.02 2455
1 0.99 0.87 0.93 257616
accuracy 0.87 260071
macro avg 0.50 0.50 0.47 260071
weighted avg 0.98 0.87 0.92 260071
Accuracy: 0.8674131294915619
20-40%
precision recall f1-score support
0 0.01 0.09 0.01 659
1 1.00 0.93 0.96 130568
accuracy 0.93 131227
macro avg 0.50 0.51 0.49 131227
weighted avg 0.99 0.93 0.96 131227
Accuracy: 0.9298619948638619
40-80%
precision recall f1-score support
0 0.00 0.02 0.00 169
1 1.00 0.97 0.98 65234
accuracy 0.96 65403
macro avg 0.50 0.49 0.49 65403
weighted avg 0.99 0.96 0.98 65403
Accuracy: 0.9635184930354876
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 0.98 0.99 7371
accuracy 0.98 7386
macro avg 0.50 0.49 0.49 7386
weighted avg 1.00 0.98 0.99 7386
Accuracy: 0.979555916598971
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 0.98 0.99 5686
accuracy 0.97 5704
macro avg 0.50 0.49 0.49 5704
weighted avg 0.99 0.97 0.98 5704
Accuracy: 0.9742286115007013
Treshold: 0.7
All
precision recall f1-score support
0 0.58 0.86 0.70 28055468
1 0.54 0.21 0.30 21729815
accuracy 0.58 49785283
macro avg 0.56 0.53 0.50 49785283
weighted avg 0.56 0.58 0.52 49785283
Accuracy: 0.5765067158501439
0-1%
precision recall f1-score support
0 0.65 0.86 0.74 27764588
1 0.53 0.25 0.34 17098553
accuracy 0.63 44863141
macro avg 0.59 0.55 0.54 44863141
weighted avg 0.60 0.63 0.59 44863141
Accuracy: 0.628007232039326
1-10%
precision recall f1-score support
0 0.06 0.94 0.12 287564
1 0.93 0.06 0.11 4164787
accuracy 0.12 4452351
macro avg 0.50 0.50 0.12 4452351
weighted avg 0.88 0.12 0.11 4452351
Accuracy: 0.11696472268246597
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.99 0.01 0.02 257616
accuracy 0.02 260071
macro avg 0.50 0.50 0.02 260071
weighted avg 0.99 0.02 0.02 260071
Accuracy: 0.01841804737936948
20-40%
precision recall f1-score support
0 0.01 0.99 0.01 659
1 0.99 0.00 0.01 130568
accuracy 0.01 131227
macro avg 0.50 0.50 0.01 131227
weighted avg 0.99 0.01 0.01 131227
Accuracy: 0.009510237984561104
40-80%
precision recall f1-score support
0 0.00 0.99 0.01 169
1 0.99 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.50 0.50 0.00 65403
weighted avg 0.99 0.00 0.00 65403
Accuracy: 0.004693974282525266
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 1.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.50 0.50 0.00 7386
weighted avg 1.00 0.00 0.00 7386
Accuracy: 0.003926347143243975
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 1.00 0.00 0.00 5686
accuracy 0.01 5704
macro avg 0.50 0.50 0.01 5704
weighted avg 1.00 0.01 0.00 5704
Accuracy: 0.005434782608695652
Treshold: 0.8
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.9
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.93 0.42 0.57 26119367
1 0.58 0.96 0.72 21615229
accuracy 0.66 47734596
macro avg 0.75 0.69 0.65 47734596
weighted avg 0.77 0.66 0.64 47734596
Accuracy: 0.6623225427528495
0-1%
precision recall f1-score support
0 0.99 0.74 0.85 12053010
1 0.11 0.76 0.19 508421
accuracy 0.74 12561431
macro avg 0.55 0.75 0.52 12561431
weighted avg 0.95 0.74 0.82 12561431
Accuracy: 0.7413108426898177
1-10%
precision recall f1-score support
0 0.73 0.15 0.24 13368467
1 0.55 0.95 0.69 14466820
accuracy 0.56 27835287
macro avg 0.64 0.55 0.47 27835287
weighted avg 0.64 0.56 0.48 27835287
Accuracy: 0.5639647617069657
10-20%
precision recall f1-score support
0 0.18 0.01 0.03 503365
1 0.87 0.99 0.93 3387274
accuracy 0.86 3890639
macro avg 0.53 0.50 0.48 3890639
weighted avg 0.78 0.86 0.81 3890639
Accuracy: 0.8644286966742482
20-40%
precision recall f1-score support
0 0.10 0.01 0.01 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.52 0.50 0.49 2117913
weighted avg 0.87 0.93 0.90 2117913
Accuracy: 0.9266981221608253
40-80%
precision recall f1-score support
0 0.05 0.00 0.01 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.51 0.50 0.49 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9603958784513901
80-90%
precision recall f1-score support
0 0.04 0.00 0.01 3093
1 0.98 1.00 0.99 120943
accuracy 0.97 124036
macro avg 0.51 0.50 0.50 124036
weighted avg 0.95 0.97 0.96 124036
Accuracy: 0.9735318778419169
90-100%
precision recall f1-score support
0 0.02 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.98 99395
macro avg 0.50 0.50 0.49 99395
weighted avg 0.95 0.98 0.96 99395
Accuracy: 0.9754716031993561
Treshold: 0.5
All
precision recall f1-score support
0 0.80 0.60 0.69 26119367
1 0.63 0.82 0.71 21615229
accuracy 0.70 47734596
macro avg 0.72 0.71 0.70 47734596
weighted avg 0.73 0.70 0.70 47734596
Accuracy: 0.7023233002747106
precision recall f1-score support
0 0.80 0.60 0.69 26119367
1 0.63 0.82 0.71 21615229
accuracy 0.70 47734596
macro avg 0.72 0.71 0.70 47734596
weighted avg 0.73 0.70 0.70 47734596
Accuracy: 0.7023233002747106
0-1%
precision recall f1-score support
0 0.98 0.87 0.92 12053010
1 0.16 0.58 0.25 508421
accuracy 0.86 12561431
macro avg 0.57 0.73 0.59 12561431
weighted avg 0.95 0.86 0.90 12561431
Accuracy: 0.8596725166105676
precision recall f1-score support
0 0.98 0.87 0.92 12053010
1 0.16 0.58 0.25 508421
accuracy 0.86 12561431
macro avg 0.57 0.73 0.59 12561431
weighted avg 0.95 0.86 0.90 12561431
Accuracy: 0.8596725166105676
1-10%
precision recall f1-score support
0 0.84 0.61 0.71 25421477
1 0.55 0.80 0.65 14975241
accuracy 0.68 40396718
macro avg 0.69 0.71 0.68 40396718
weighted avg 0.73 0.68 0.69 40396718
Accuracy: 0.6821889837684338
precision recall f1-score support
0 0.64 0.38 0.48 13368467
1 0.59 0.81 0.68 14466820
accuracy 0.60 27835287
macro avg 0.61 0.59 0.58 27835287
weighted avg 0.61 0.60 0.58 27835287
Accuracy: 0.6020947080588751
10-20%
precision recall f1-score support
0 0.82 0.61 0.70 25924842
1 0.59 0.81 0.69 18362515
accuracy 0.69 44287357
macro avg 0.71 0.71 0.69 44287357
weighted avg 0.73 0.69 0.69 44287357
Accuracy: 0.6911962481752976
precision recall f1-score support
0 0.17 0.18 0.18 503365
1 0.88 0.87 0.88 3387274
accuracy 0.78 3890639
macro avg 0.53 0.53 0.53 3890639
weighted avg 0.79 0.78 0.79 3890639
Accuracy: 0.7847191682394589
20-40%
precision recall f1-score support
0 0.81 0.60 0.69 26072330
1 0.62 0.82 0.70 20332940
accuracy 0.70 46405270
macro avg 0.71 0.71 0.70 46405270
weighted avg 0.73 0.70 0.70 46405270
Accuracy: 0.6977214656869791
precision recall f1-score support
0 0.10 0.17 0.12 147488
1 0.93 0.88 0.91 1970425
accuracy 0.83 2117913
macro avg 0.52 0.53 0.52 2117913
weighted avg 0.88 0.83 0.85 2117913
Accuracy: 0.8341692977945742
40-80%
precision recall f1-score support
0 0.81 0.60 0.69 26113946
1 0.63 0.82 0.71 21397219
accuracy 0.70 47511165
macro avg 0.72 0.71 0.70 47511165
weighted avg 0.73 0.70 0.70 47511165
Accuracy: 0.7015260939191872
precision recall f1-score support
0 0.05 0.17 0.08 41616
1 0.96 0.89 0.92 1064279
accuracy 0.86 1105895
macro avg 0.51 0.53 0.50 1105895
weighted avg 0.93 0.86 0.89 1105895
Accuracy: 0.8611748854999797
80-90%
precision recall f1-score support
0 0.04 0.17 0.06 3093
1 0.98 0.89 0.93 120943
accuracy 0.87 124036
macro avg 0.51 0.53 0.50 124036
weighted avg 0.95 0.87 0.91 124036
Accuracy: 0.8705698345641588
90-100%
precision recall f1-score support
0 0.04 0.17 0.06 2328
1 0.98 0.89 0.93 97067
accuracy 0.87 99395
macro avg 0.51 0.53 0.50 99395
weighted avg 0.96 0.87 0.91 99395
Accuracy: 0.8734342773781377
Treshold: 0.6
All
precision recall f1-score support
0 0.73 0.71 0.72 26119367
1 0.66 0.68 0.67 21615229
accuracy 0.70 47734596
macro avg 0.69 0.70 0.69 47734596
weighted avg 0.70 0.70 0.70 47734596
Accuracy: 0.6970736905367335
0-1%
precision recall f1-score support
0 0.98 0.92 0.95 12053010
1 0.20 0.46 0.28 508421
accuracy 0.90 12561431
macro avg 0.59 0.69 0.62 12561431
weighted avg 0.94 0.90 0.92 12561431
Accuracy: 0.904882811520439
1-10%
precision recall f1-score support
0 0.60 0.55 0.57 13368467
1 0.61 0.66 0.64 14466820
accuracy 0.61 27835287
macro avg 0.60 0.60 0.60 27835287
weighted avg 0.60 0.61 0.60 27835287
Accuracy: 0.6054185825351828
10-20%
precision recall f1-score support
0 0.16 0.35 0.22 503365
1 0.88 0.72 0.79 3387274
accuracy 0.67 3890639
macro avg 0.52 0.54 0.51 3890639
weighted avg 0.79 0.67 0.72 3890639
Accuracy: 0.6739247717405804
20-40%
precision recall f1-score support
0 0.09 0.34 0.14 147488
1 0.94 0.73 0.82 1970425
accuracy 0.70 2117913
macro avg 0.51 0.53 0.48 2117913
weighted avg 0.88 0.70 0.77 2117913
Accuracy: 0.7002516156234935
40-80%
precision recall f1-score support
0 0.05 0.34 0.08 41616
1 0.97 0.73 0.83 1064279
accuracy 0.71 1105895
macro avg 0.51 0.53 0.46 1105895
weighted avg 0.93 0.71 0.80 1105895
Accuracy: 0.714353532659068
80-90%
precision recall f1-score support
0 0.03 0.35 0.06 3093
1 0.98 0.73 0.83 120943
accuracy 0.72 124036
macro avg 0.50 0.54 0.45 124036
weighted avg 0.95 0.72 0.82 124036
Accuracy: 0.7191379921958141
90-100%
precision recall f1-score support
0 0.03 0.33 0.05 2328
1 0.98 0.73 0.84 97067
accuracy 0.72 99395
macro avg 0.50 0.53 0.44 99395
weighted avg 0.96 0.72 0.82 99395
Accuracy: 0.7207505407716686
Treshold: 0.7
All
precision recall f1-score support
0 0.64 0.85 0.73 26119367
1 0.70 0.42 0.53 21615229
accuracy 0.66 47734596
macro avg 0.67 0.64 0.63 47734596
weighted avg 0.67 0.66 0.64 47734596
Accuracy: 0.6553020371220907
0-1%
precision recall f1-score support
0 0.97 0.97 0.97 12053010
1 0.28 0.29 0.29 508421
accuracy 0.94 12561431
macro avg 0.63 0.63 0.63 12561431
weighted avg 0.94 0.94 0.94 12561431
Accuracy: 0.941196906626323
1-10%
precision recall f1-score support
0 0.54 0.75 0.63 13368467
1 0.64 0.42 0.51 14466820
accuracy 0.58 27835287
macro avg 0.59 0.58 0.57 27835287
weighted avg 0.60 0.58 0.57 27835287
Accuracy: 0.5781541250140514
10-20%
precision recall f1-score support
0 0.14 0.61 0.23 503365
1 0.88 0.45 0.59 3387274
accuracy 0.47 3890639
macro avg 0.51 0.53 0.41 3890639
weighted avg 0.79 0.47 0.55 3890639
Accuracy: 0.46630771963165946
20-40%
precision recall f1-score support
0 0.07 0.60 0.13 147488
1 0.94 0.44 0.60 1970425
accuracy 0.45 2117913
macro avg 0.51 0.52 0.37 2117913
weighted avg 0.88 0.45 0.57 2117913
Accuracy: 0.4530648803798834
40-80%
precision recall f1-score support
0 0.04 0.61 0.08 41616
1 0.97 0.44 0.60 1064279
accuracy 0.45 1105895
macro avg 0.50 0.52 0.34 1105895
weighted avg 0.93 0.45 0.58 1105895
Accuracy: 0.4451986852278019
80-90%
precision recall f1-score support
0 0.03 0.62 0.05 3093
1 0.98 0.44 0.61 120943
accuracy 0.44 124036
macro avg 0.50 0.53 0.33 124036
weighted avg 0.95 0.44 0.59 124036
Accuracy: 0.44258118610725916
90-100%
precision recall f1-score support
0 0.02 0.60 0.05 2328
1 0.98 0.44 0.60 97067
accuracy 0.44 99395
macro avg 0.50 0.52 0.33 99395
weighted avg 0.96 0.44 0.59 99395
Accuracy: 0.4395190904975099
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.88 0.38 0.53 24893266
1 0.56 0.94 0.70 20563095
accuracy 0.63 45456361
macro avg 0.72 0.66 0.61 45456361
weighted avg 0.73 0.63 0.61 45456361
Accuracy: 0.6317128641247811
0-1%
precision recall f1-score support
0 1.00 0.90 0.95 4873589
1 0.01 0.79 0.01 3872
accuracy 0.90 4877461
macro avg 0.50 0.85 0.48 4877461
weighted avg 1.00 0.90 0.95 4877461
Accuracy: 0.9036908752320111
1-10%
precision recall f1-score support
0 0.88 0.28 0.43 16949103
1 0.38 0.92 0.53 8016772
accuracy 0.49 24965875
macro avg 0.63 0.60 0.48 24965875
weighted avg 0.72 0.49 0.46 24965875
Accuracy: 0.48618227881057646
10-20%
precision recall f1-score support
0 0.41 0.10 0.17 2057494
1 0.74 0.94 0.83 5461156
accuracy 0.71 7518650
macro avg 0.57 0.52 0.50 7518650
weighted avg 0.65 0.71 0.65 7518650
Accuracy: 0.7135812945143077
20-40%
precision recall f1-score support
0 0.25 0.09 0.14 744974
1 0.85 0.95 0.90 4060539
accuracy 0.81 4805513
macro avg 0.55 0.52 0.52 4805513
weighted avg 0.76 0.81 0.78 4805513
Accuracy: 0.8147342437737657
40-80%
precision recall f1-score support
0 0.15 0.10 0.12 235909
1 0.92 0.95 0.93 2483775
accuracy 0.87 2719684
macro avg 0.53 0.52 0.52 2719684
weighted avg 0.85 0.87 0.86 2719684
Accuracy: 0.8740386750813698
80-90%
precision recall f1-score support
0 0.11 0.10 0.10 18577
1 0.94 0.95 0.95 296772
accuracy 0.90 315349
macro avg 0.52 0.52 0.52 315349
weighted avg 0.89 0.90 0.90 315349
Accuracy: 0.8979353034257284
90-100%
precision recall f1-score support
0 0.10 0.10 0.10 13620
1 0.95 0.95 0.95 240209
accuracy 0.90 253829
macro avg 0.52 0.52 0.52 253829
weighted avg 0.90 0.90 0.90 253829
Accuracy: 0.9022964279101284
Treshold: 0.5
All
precision recall f1-score support
0 0.80 0.56 0.65 24893266
1 0.61 0.83 0.70 20563095
accuracy 0.68 45456361
macro avg 0.70 0.69 0.68 45456361
weighted avg 0.71 0.68 0.68 45456361
Accuracy: 0.6792040612313863
precision recall f1-score support
0 0.80 0.56 0.65 24893266
1 0.61 0.83 0.70 20563095
accuracy 0.68 45456361
macro avg 0.70 0.69 0.68 45456361
weighted avg 0.71 0.68 0.68 45456361
Accuracy: 0.6792040612313863
0-1%
precision recall f1-score support
0 1.00 0.97 0.98 4873589
1 0.01 0.67 0.03 3872
accuracy 0.96 4877461
macro avg 0.51 0.82 0.51 4877461
weighted avg 1.00 0.96 0.98 4877461
Accuracy: 0.9649407755387486
precision recall f1-score support
0 1.00 0.97 0.98 4873589
1 0.01 0.67 0.03 3872
accuracy 0.96 4877461
macro avg 0.51 0.82 0.51 4877461
weighted avg 1.00 0.96 0.98 4877461
Accuracy: 0.9649407755387486
1-10%
precision recall f1-score support
0 0.85 0.49 0.62 16949103
1 0.43 0.81 0.56 8016772
accuracy 0.59 24965875
macro avg 0.64 0.65 0.59 24965875
weighted avg 0.71 0.59 0.60 24965875
Accuracy: 0.5929809790363847
precision recall f1-score support
0 0.90 0.60 0.72 21822692
1 0.42 0.81 0.56 8020644
accuracy 0.65 29843336
macro avg 0.66 0.70 0.64 29843336
weighted avg 0.77 0.65 0.67 29843336
Accuracy: 0.6537724200806505
10-20%
precision recall f1-score support
0 0.85 0.57 0.68 23880186
1 0.52 0.82 0.64 13481800
accuracy 0.66 37361986
macro avg 0.68 0.70 0.66 37361986
weighted avg 0.73 0.66 0.66 37361986
Accuracy: 0.660068230848328
precision recall f1-score support
0 0.39 0.27 0.32 2057494
1 0.75 0.84 0.79 5461156
accuracy 0.69 7518650
macro avg 0.57 0.56 0.56 7518650
weighted avg 0.66 0.69 0.67 7518650
Accuracy: 0.6850578228804373
20-40%
precision recall f1-score support
0 0.82 0.56 0.66 24625160
1 0.57 0.83 0.68 17542339
accuracy 0.67 42167499
macro avg 0.70 0.69 0.67 42167499
weighted avg 0.72 0.67 0.67 42167499
Accuracy: 0.6704102844705113
precision recall f1-score support
0 0.23 0.26 0.24 744974
1 0.86 0.84 0.85 4060539
accuracy 0.75 4805513
macro avg 0.54 0.55 0.55 4805513
weighted avg 0.76 0.75 0.76 4805513
Accuracy: 0.7508178627339058
40-80%
precision recall f1-score support
0 0.13 0.26 0.17 235909
1 0.92 0.84 0.88 2483775
accuracy 0.79 2719684
macro avg 0.53 0.55 0.53 2719684
weighted avg 0.85 0.79 0.82 2719684
Accuracy: 0.7891902147455366
80-90%
precision recall f1-score support
0 0.09 0.26 0.13 18577
1 0.95 0.84 0.89 296772
accuracy 0.80 315349
macro avg 0.52 0.55 0.51 315349
weighted avg 0.90 0.80 0.84 315349
Accuracy: 0.8033638920687873
90-100%
precision recall f1-score support
0 0.08 0.26 0.13 13620
1 0.95 0.84 0.89 240209
accuracy 0.81 253829
macro avg 0.52 0.55 0.51 253829
weighted avg 0.91 0.81 0.85 253829
Accuracy: 0.8073624369161916
Treshold: 0.6
All
precision recall f1-score support
0 0.75 0.67 0.71 24893266
1 0.65 0.72 0.68 20563095
accuracy 0.70 45456361
macro avg 0.70 0.70 0.70 45456361
weighted avg 0.70 0.70 0.70 45456361
Accuracy: 0.6958789772018926
0-1%
precision recall f1-score support
0 1.00 0.99 0.99 4873589
1 0.03 0.55 0.06 3872
accuracy 0.99 4877461
macro avg 0.52 0.77 0.53 4877461
weighted avg 1.00 0.99 0.99 4877461
Accuracy: 0.9858184411930716
1-10%
precision recall f1-score support
0 0.82 0.63 0.71 16949103
1 0.47 0.70 0.57 8016772
accuracy 0.65 24965875
macro avg 0.65 0.67 0.64 24965875
weighted avg 0.71 0.65 0.67 24965875
Accuracy: 0.6545496602862908
10-20%
precision recall f1-score support
0 0.37 0.41 0.39 2057494
1 0.77 0.74 0.75 5461156
accuracy 0.65 7518650
macro avg 0.57 0.57 0.57 7518650
weighted avg 0.66 0.65 0.65 7518650
Accuracy: 0.6473836393501493
20-40%
precision recall f1-score support
0 0.21 0.39 0.27 744974
1 0.87 0.74 0.80 4060539
accuracy 0.68 4805513
macro avg 0.54 0.56 0.54 4805513
weighted avg 0.77 0.68 0.72 4805513
Accuracy: 0.6846078660072296
40-80%
precision recall f1-score support
0 0.12 0.38 0.18 235909
1 0.93 0.74 0.82 2483775
accuracy 0.71 2719684
macro avg 0.52 0.56 0.50 2719684
weighted avg 0.86 0.71 0.77 2719684
Accuracy: 0.7055860166107533
80-90%
precision recall f1-score support
0 0.08 0.38 0.13 18577
1 0.95 0.73 0.83 296772
accuracy 0.71 315349
macro avg 0.52 0.56 0.48 315349
weighted avg 0.90 0.71 0.79 315349
Accuracy: 0.7122553107826567
90-100%
precision recall f1-score support
0 0.08 0.39 0.13 13620
1 0.95 0.73 0.83 240209
accuracy 0.72 253829
macro avg 0.52 0.56 0.48 253829
weighted avg 0.91 0.72 0.79 253829
Accuracy: 0.7150758975530771
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.89 0.28 0.42 22531902
1 0.50 0.95 0.65 16938696
accuracy 0.57 39470598
macro avg 0.69 0.62 0.54 39470598
weighted avg 0.72 0.57 0.52 39470598
Accuracy: 0.5673319669491707
0-1%
precision recall f1-score support
0 1.00 0.96 0.98 1549999
1 0.00 0.00 0.00 0
accuracy 0.96 1549999
macro avg 0.50 0.48 0.49 1549999
weighted avg 1.00 0.96 0.98 1549999
Accuracy: 0.9625902984453538
1-10%
precision recall f1-score support
0 0.98 0.32 0.48 11439888
1 0.13 0.94 0.23 1271288
accuracy 0.38 12711176
macro avg 0.56 0.63 0.36 12711176
weighted avg 0.89 0.38 0.46 12711176
Accuracy: 0.38131381392248836
10-20%
precision recall f1-score support
0 0.77 0.13 0.22 5044441
1 0.45 0.95 0.61 3812372
accuracy 0.48 8856813
macro avg 0.61 0.54 0.41 8856813
weighted avg 0.63 0.48 0.39 8856813
Accuracy: 0.481217792449722
20-40%
precision recall f1-score support
0 0.56 0.10 0.17 2995598
1 0.67 0.96 0.78 5583215
accuracy 0.66 8578813
macro avg 0.61 0.53 0.48 8578813
weighted avg 0.63 0.66 0.57 8578813
Accuracy: 0.6583209122287664
40-80%
precision recall f1-score support
0 0.37 0.10 0.16 1295061
1 0.80 0.96 0.87 5001564
accuracy 0.78 6296625
macro avg 0.59 0.53 0.51 6296625
weighted avg 0.71 0.78 0.73 6296625
Accuracy: 0.7797791674111131
80-90%
precision recall f1-score support
0 0.28 0.10 0.15 117971
1 0.86 0.96 0.91 692761
accuracy 0.83 810732
macro avg 0.57 0.53 0.53 810732
weighted avg 0.78 0.83 0.80 810732
Accuracy: 0.8312216614121559
90-100%
precision recall f1-score support
0 0.25 0.10 0.14 88944
1 0.87 0.96 0.91 577496
accuracy 0.84 666440
macro avg 0.56 0.53 0.53 666440
weighted avg 0.79 0.84 0.81 666440
Accuracy: 0.840927915491267
Treshold: 0.5
All
precision recall f1-score support
0 0.85 0.41 0.56 22531902
1 0.54 0.90 0.67 16938696
accuracy 0.62 39470598
macro avg 0.69 0.66 0.62 39470598
weighted avg 0.72 0.62 0.61 39470598
Accuracy: 0.6240024536745048
precision recall f1-score support
0 0.85 0.41 0.56 22531902
1 0.54 0.90 0.67 16938696
accuracy 0.62 39470598
macro avg 0.69 0.66 0.62 39470598
weighted avg 0.72 0.62 0.61 39470598
Accuracy: 0.6240024536745048
0-1%
precision recall f1-score support
0 1.00 0.99 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 0.99 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 0.99 1.00 1549999
Accuracy: 0.9917967689011412
precision recall f1-score support
0 1.00 0.99 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 0.99 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 0.99 1.00 1549999
Accuracy: 0.9917967689011412
1-10%
precision recall f1-score support
0 0.98 0.55 0.71 12989887
1 0.16 0.88 0.27 1271288
accuracy 0.58 14261175
macro avg 0.57 0.72 0.49 14261175
weighted avg 0.91 0.58 0.67 14261175
Accuracy: 0.5839330209467313
precision recall f1-score support
0 0.97 0.50 0.66 11439888
1 0.16 0.88 0.27 1271288
accuracy 0.53 12711176
macro avg 0.57 0.69 0.47 12711176
weighted avg 0.89 0.53 0.62 12711176
Accuracy: 0.5341981733240103
10-20%
precision recall f1-score support
0 0.94 0.47 0.62 18034328
1 0.32 0.89 0.47 5083660
accuracy 0.56 23117988
macro avg 0.63 0.68 0.55 23117988
weighted avg 0.80 0.56 0.59 23117988
Accuracy: 0.5617400614620961
precision recall f1-score support
0 0.76 0.24 0.37 5044441
1 0.47 0.90 0.62 3812372
accuracy 0.53 8856813
macro avg 0.62 0.57 0.50 8856813
weighted avg 0.64 0.53 0.48 8856813
Accuracy: 0.5260051217068713
20-40%
precision recall f1-score support
0 0.90 0.43 0.58 21029926
1 0.45 0.90 0.60 10666875
accuracy 0.59 31696801
macro avg 0.67 0.67 0.59 31696801
weighted avg 0.74 0.59 0.59 31696801
Accuracy: 0.5887225969586016
precision recall f1-score support
0 0.54 0.20 0.30 2995598
1 0.68 0.91 0.78 5583215
accuracy 0.66 8578813
macro avg 0.61 0.56 0.54 8578813
weighted avg 0.63 0.66 0.61 8578813
Accuracy: 0.6614345131430187
40-80%
precision recall f1-score support
0 0.86 0.42 0.56 22324987
1 0.52 0.90 0.66 15668439
accuracy 0.62 37993426
macro avg 0.69 0.66 0.61 37993426
weighted avg 0.72 0.62 0.60 37993426
Accuracy: 0.6169883705670555
precision recall f1-score support
0 0.35 0.19 0.25 1295061
1 0.81 0.91 0.86 5001564
accuracy 0.76 6296625
macro avg 0.58 0.55 0.55 6296625
weighted avg 0.72 0.76 0.73 6296625
Accuracy: 0.7592764377742044
80-90%
precision recall f1-score support
0 0.25 0.19 0.22 117971
1 0.87 0.90 0.89 692761
accuracy 0.80 810732
macro avg 0.56 0.55 0.55 810732
weighted avg 0.78 0.80 0.79 810732
Accuracy: 0.8006838264679327
90-100%
precision recall f1-score support
0 0.24 0.19 0.21 88944
1 0.88 0.90 0.89 577496
accuracy 0.81 666440
macro avg 0.56 0.55 0.55 666440
weighted avg 0.79 0.81 0.80 666440
Accuracy: 0.8089370385931217
Treshold: 0.6
All
precision recall f1-score support
0 0.79 0.66 0.72 22531902
1 0.63 0.77 0.69 16938696
accuracy 0.71 39470598
macro avg 0.71 0.71 0.70 39470598
weighted avg 0.72 0.71 0.71 39470598
Accuracy: 0.7054521190684773
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9998161289136316
1-10%
precision recall f1-score support
0 0.96 0.76 0.85 11439888
1 0.25 0.74 0.38 1271288
accuracy 0.76 12711176
macro avg 0.61 0.75 0.61 12711176
weighted avg 0.89 0.76 0.80 12711176
Accuracy: 0.758062511289278
10-20%
precision recall f1-score support
0 0.74 0.51 0.61 5044441
1 0.54 0.77 0.64 3812372
accuracy 0.62 8856813
macro avg 0.64 0.64 0.62 8856813
weighted avg 0.66 0.62 0.62 8856813
Accuracy: 0.6216626680500085
20-40%
precision recall f1-score support
0 0.52 0.46 0.49 2995598
1 0.73 0.77 0.75 5583215
accuracy 0.66 8578813
macro avg 0.62 0.61 0.62 8578813
weighted avg 0.65 0.66 0.66 8578813
Accuracy: 0.6626260532780001
40-80%
precision recall f1-score support
0 0.33 0.44 0.37 1295061
1 0.84 0.77 0.80 5001564
accuracy 0.70 6296625
macro avg 0.58 0.60 0.59 6296625
weighted avg 0.74 0.70 0.71 6296625
Accuracy: 0.700276100291823
80-90%
precision recall f1-score support
0 0.24 0.43 0.31 117971
1 0.89 0.76 0.82 692761
accuracy 0.72 810732
macro avg 0.56 0.60 0.56 810732
weighted avg 0.79 0.72 0.75 810732
Accuracy: 0.7156125575405929
90-100%
precision recall f1-score support
0 0.22 0.43 0.29 88944
1 0.90 0.76 0.82 577496
accuracy 0.72 666440
macro avg 0.56 0.60 0.56 666440
weighted avg 0.81 0.72 0.75 666440
Accuracy: 0.7187383710461557
Treshold: 0.7
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.8
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
LR_decay_vtime
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.86 0.20 0.32 28055468
1 0.48 0.96 0.64 21729815
accuracy 0.53 49785283
macro avg 0.67 0.58 0.48 49785283
weighted avg 0.70 0.53 0.46 49785283
Accuracy: 0.529126027063058
0-1%
precision recall f1-score support
0 0.89 0.20 0.32 27764588
1 0.42 0.96 0.59 17098553
accuracy 0.49 44863141
macro avg 0.66 0.58 0.46 44863141
weighted avg 0.71 0.49 0.42 44863141
Accuracy: 0.48753207003495364
1-10%
precision recall f1-score support
0 0.08 0.05 0.06 287564
1 0.94 0.96 0.95 4164787
accuracy 0.90 4452351
macro avg 0.51 0.50 0.50 4452351
weighted avg 0.88 0.90 0.89 4452351
Accuracy: 0.9032551566576849
10-20%
precision recall f1-score support
0 0.02 0.07 0.03 2455
1 0.99 0.96 0.98 257616
accuracy 0.95 260071
macro avg 0.50 0.51 0.50 260071
weighted avg 0.98 0.95 0.97 260071
Accuracy: 0.953128184226615
20-40%
precision recall f1-score support
0 0.01 0.08 0.02 659
1 1.00 0.96 0.98 130568
accuracy 0.96 131227
macro avg 0.50 0.52 0.50 131227
weighted avg 0.99 0.96 0.97 131227
Accuracy: 0.9576687724325025
40-80%
precision recall f1-score support
0 0.01 0.14 0.02 169
1 1.00 0.96 0.98 65234
accuracy 0.96 65403
macro avg 0.50 0.55 0.50 65403
weighted avg 1.00 0.96 0.98 65403
Accuracy: 0.9591456049416693
80-90%
precision recall f1-score support
0 0.01 0.13 0.01 15
1 1.00 0.96 0.98 7371
accuracy 0.96 7386
macro avg 0.50 0.55 0.50 7386
weighted avg 1.00 0.96 0.98 7386
Accuracy: 0.9611427024099648
90-100%
precision recall f1-score support
0 0.02 0.22 0.03 18
1 1.00 0.96 0.98 5686
accuracy 0.96 5704
macro avg 0.51 0.59 0.51 5704
weighted avg 0.99 0.96 0.98 5704
Accuracy: 0.960203366058906
Treshold: 0.5
All
precision recall f1-score support
0 0.81 0.34 0.48 28055468
1 0.51 0.90 0.65 21729815
accuracy 0.58 49785283
macro avg 0.66 0.62 0.56 49785283
weighted avg 0.68 0.58 0.55 49785283
Accuracy: 0.5817977573814334
precision recall f1-score support
0 0.81 0.34 0.48 28055468
1 0.51 0.90 0.65 21729815
accuracy 0.58 49785283
macro avg 0.66 0.62 0.56 49785283
weighted avg 0.68 0.58 0.55 49785283
Accuracy: 0.5817977573814334
0-1%
precision recall f1-score support
0 0.84 0.34 0.48 27764588
1 0.46 0.90 0.60 17098553
accuracy 0.55 44863141
macro avg 0.65 0.62 0.54 44863141
weighted avg 0.69 0.55 0.53 44863141
Accuracy: 0.5518211263897015
precision recall f1-score support
0 0.84 0.34 0.48 27764588
1 0.46 0.90 0.60 17098553
accuracy 0.55 44863141
macro avg 0.65 0.62 0.54 44863141
weighted avg 0.69 0.55 0.53 44863141
Accuracy: 0.5518211263897015
1-10%
precision recall f1-score support
0 0.08 0.12 0.09 287564
1 0.94 0.90 0.92 4164787
accuracy 0.85 4452351
macro avg 0.51 0.51 0.51 4452351
weighted avg 0.88 0.85 0.87 4452351
Accuracy: 0.8509160665904373
precision recall f1-score support
0 0.81 0.34 0.48 28052152
1 0.51 0.90 0.65 21263340
accuracy 0.58 49315492
macro avg 0.66 0.62 0.56 49315492
weighted avg 0.68 0.58 0.55 49315492
Accuracy: 0.5788243175187221
10-20%
precision recall f1-score support
0 0.81 0.34 0.48 28054607
1 0.51 0.90 0.65 21520956
accuracy 0.58 49575563
macro avg 0.66 0.62 0.56 49575563
weighted avg 0.68 0.58 0.55 49575563
Accuracy: 0.5804661663650699
precision recall f1-score support
0 0.01 0.13 0.02 2455
1 0.99 0.90 0.94 257616
accuracy 0.89 260071
macro avg 0.50 0.51 0.48 260071
weighted avg 0.98 0.89 0.93 260071
Accuracy: 0.8917987780260006
20-40%
precision recall f1-score support
0 0.81 0.34 0.48 28055266
1 0.51 0.90 0.65 21651524
accuracy 0.58 49706790
macro avg 0.66 0.62 0.56 49706790
weighted avg 0.68 0.58 0.55 49706790
Accuracy: 0.5813016692488089
precision recall f1-score support
0 0.01 0.16 0.02 659
1 1.00 0.90 0.95 130568
accuracy 0.90 131227
macro avg 0.50 0.53 0.48 131227
weighted avg 0.99 0.90 0.94 131227
Accuracy: 0.8969419403019195
40-80%
precision recall f1-score support
0 0.81 0.34 0.48 28055435
1 0.51 0.90 0.65 21716758
accuracy 0.58 49772193
macro avg 0.66 0.62 0.56 49772193
weighted avg 0.68 0.58 0.55 49772193
Accuracy: 0.5817143319363083
precision recall f1-score support
0 0.00 0.18 0.01 169
1 1.00 0.90 0.94 65234
accuracy 0.90 65403
macro avg 0.50 0.54 0.48 65403
weighted avg 1.00 0.90 0.94 65403
Accuracy: 0.8953411923000474
80-90%
precision recall f1-score support
0 0.00 0.13 0.01 15
1 1.00 0.90 0.94 7371
accuracy 0.90 7386
macro avg 0.50 0.52 0.47 7386
weighted avg 1.00 0.90 0.94 7386
Accuracy: 0.8952071486596264
90-100%
precision recall f1-score support
0 0.01 0.28 0.02 18
1 1.00 0.91 0.95 5686
accuracy 0.90 5704
macro avg 0.50 0.59 0.48 5704
weighted avg 0.99 0.90 0.95 5704
Accuracy: 0.9039270687237027
Treshold: 0.6
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.7
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.8
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.9
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.92 0.04 0.07 26119367
1 0.46 1.00 0.63 21615229
accuracy 0.47 47734596
macro avg 0.69 0.52 0.35 47734596
weighted avg 0.71 0.47 0.32 47734596
Accuracy: 0.4712758436250304
0-1%
precision recall f1-score support
0 1.00 0.07 0.13 12053010
1 0.04 1.00 0.08 508421
accuracy 0.11 12561431
macro avg 0.52 0.53 0.11 12561431
weighted avg 0.96 0.11 0.13 12561431
Accuracy: 0.10621369492058667
1-10%
precision recall f1-score support
0 0.69 0.01 0.02 13368467
1 0.52 1.00 0.68 14466820
accuracy 0.52 27835287
macro avg 0.61 0.50 0.35 27835287
weighted avg 0.60 0.52 0.37 27835287
Accuracy: 0.5224117143106878
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: 0.8683434777680479
20-40%
precision recall f1-score support
0 0.20 0.01 0.03 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.56 0.50 0.49 2117913
weighted avg 0.88 0.93 0.90 2117913
Accuracy: 0.9274205314382602
40-80%
precision recall f1-score support
0 0.16 0.02 0.04 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.56 0.51 0.51 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9590566916388988
80-90%
precision recall f1-score support
0 0.16 0.03 0.05 3093
1 0.98 1.00 0.99 120943
accuracy 0.97 124036
macro avg 0.57 0.51 0.52 124036
weighted avg 0.96 0.97 0.96 124036
Accuracy: 0.9715808313715373
90-100%
precision recall f1-score support
0 0.16 0.03 0.05 2328
1 0.98 1.00 0.99 97067
accuracy 0.97 99395
macro avg 0.57 0.51 0.52 99395
weighted avg 0.96 0.97 0.96 99395
Accuracy: 0.9734091252075054
Treshold: 0.5
All
precision recall f1-score support
0 0.89 0.08 0.14 26119367
1 0.47 0.99 0.64 21615229
accuracy 0.49 47734596
macro avg 0.68 0.53 0.39 47734596
weighted avg 0.70 0.49 0.37 47734596
Accuracy: 0.49043582562215465
precision recall f1-score support
0 0.89 0.08 0.14 26119367
1 0.47 0.99 0.64 21615229
accuracy 0.49 47734596
macro avg 0.68 0.53 0.39 47734596
weighted avg 0.70 0.49 0.37 47734596
Accuracy: 0.49043582562215465
0-1%
precision recall f1-score support
0 1.00 0.14 0.25 12053010
1 0.05 0.99 0.09 508421
accuracy 0.17 12561431
macro avg 0.52 0.56 0.17 12561431
weighted avg 0.96 0.17 0.24 12561431
Accuracy: 0.1745133973987518
precision recall f1-score support
0 1.00 0.14 0.25 12053010
1 0.05 0.99 0.09 508421
accuracy 0.17 12561431
macro avg 0.52 0.56 0.17 12561431
weighted avg 0.96 0.17 0.24 12561431
Accuracy: 0.1745133973987518
1-10%
precision recall f1-score support
0 0.92 0.08 0.15 25421477
1 0.39 0.99 0.56 14975241
accuracy 0.42 40396718
macro avg 0.65 0.53 0.35 40396718
weighted avg 0.72 0.42 0.30 40396718
Accuracy: 0.4166934551465295
precision recall f1-score support
0 0.67 0.03 0.05 13368467
1 0.52 0.99 0.68 14466820
accuracy 0.53 27835287
macro avg 0.60 0.51 0.37 27835287
weighted avg 0.59 0.53 0.38 27835287
Accuracy: 0.5259837989096359
10-20%
precision recall f1-score support
0 0.90 0.08 0.15 25924842
1 0.43 0.99 0.60 18362515
accuracy 0.46 44287357
macro avg 0.67 0.53 0.37 44287357
weighted avg 0.71 0.46 0.33 44287357
Accuracy: 0.4559228494940441
precision recall f1-score support
0 0.21 0.02 0.04 503365
1 0.87 0.99 0.93 3387274
accuracy 0.86 3890639
macro avg 0.54 0.50 0.48 3890639
weighted avg 0.79 0.86 0.81 3890639
Accuracy: 0.8632438013395743
20-40%
precision recall f1-score support
0 0.90 0.08 0.14 26072330
1 0.46 0.99 0.62 20332940
accuracy 0.48 46405270
macro avg 0.68 0.53 0.38 46405270
weighted avg 0.70 0.48 0.35 46405270
Accuracy: 0.47715774523022925
precision recall f1-score support
0 0.14 0.03 0.04 147488
1 0.93 0.99 0.96 1970425
accuracy 0.92 2117913
macro avg 0.54 0.51 0.50 2117913
weighted avg 0.88 0.92 0.90 2117913
Accuracy: 0.9211974240679386
40-80%
precision recall f1-score support
0 0.89 0.08 0.14 26113946
1 0.47 0.99 0.63 21397219
accuracy 0.49 47511165
macro avg 0.68 0.53 0.39 47511165
weighted avg 0.70 0.49 0.37 47511165
Accuracy: 0.48820526711984435
precision recall f1-score support
0 0.09 0.03 0.05 41616
1 0.96 0.99 0.98 1064279
accuracy 0.95 1105895
macro avg 0.53 0.51 0.51 1105895
weighted avg 0.93 0.95 0.94 1105895
Accuracy: 0.9517784238105788
80-90%
precision recall f1-score support
0 0.09 0.05 0.06 3093
1 0.98 0.99 0.98 120943
accuracy 0.96 124036
macro avg 0.53 0.52 0.52 124036
weighted avg 0.95 0.96 0.96 124036
Accuracy: 0.9637363346125318
90-100%
precision recall f1-score support
0 0.08 0.04 0.05 2328
1 0.98 0.99 0.98 97067
accuracy 0.97 99395
macro avg 0.53 0.51 0.52 99395
weighted avg 0.96 0.97 0.96 99395
Accuracy: 0.9660143870416017
Treshold: 0.6
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.94 0.02 0.04 24893266
1 0.46 1.00 0.63 20563095
accuracy 0.46 45456361
macro avg 0.70 0.51 0.33 45456361
weighted avg 0.72 0.46 0.31 45456361
Accuracy: 0.4634114024217645
0-1%
precision recall f1-score support
0 1.00 0.08 0.15 4873589
1 0.00 1.00 0.00 3872
accuracy 0.08 4877461
macro avg 0.50 0.54 0.07 4877461
weighted avg 1.00 0.08 0.14 4877461
Accuracy: 0.07890129721180754
1-10%
precision recall f1-score support
0 0.90 0.01 0.02 16949103
1 0.32 1.00 0.49 8016772
accuracy 0.33 24965875
macro avg 0.61 0.50 0.25 24965875
weighted avg 0.72 0.33 0.17 24965875
Accuracy: 0.32577632468319256
10-20%
precision recall f1-score support
0 0.59 0.01 0.01 2057494
1 0.73 1.00 0.84 5461156
accuracy 0.73 7518650
macro avg 0.66 0.50 0.43 7518650
weighted avg 0.69 0.73 0.61 7518650
Accuracy: 0.7268287525021114
20-40%
precision recall f1-score support
0 0.52 0.01 0.02 744974
1 0.85 1.00 0.92 4060539
accuracy 0.85 4805513
macro avg 0.68 0.50 0.47 4805513
weighted avg 0.80 0.85 0.78 4805513
Accuracy: 0.8450872986921479
40-80%
precision recall f1-score support
0 0.52 0.01 0.03 235909
1 0.91 1.00 0.95 2483775
accuracy 0.91 2719684
macro avg 0.72 0.51 0.49 2719684
weighted avg 0.88 0.91 0.87 2719684
Accuracy: 0.9133406675187264
80-90%
precision recall f1-score support
0 0.52 0.02 0.04 18577
1 0.94 1.00 0.97 296772
accuracy 0.94 315349
macro avg 0.73 0.51 0.50 315349
weighted avg 0.92 0.94 0.91 315349
Accuracy: 0.9411953105923913
90-100%
precision recall f1-score support
0 0.50 0.02 0.04 13620
1 0.95 1.00 0.97 240209
accuracy 0.95 253829
macro avg 0.73 0.51 0.51 253829
weighted avg 0.92 0.95 0.92 253829
Accuracy: 0.9463654665148584
Treshold: 0.5
All
precision recall f1-score support
0 0.92 0.04 0.08 24893266
1 0.46 1.00 0.63 20563095
accuracy 0.47 45456361
macro avg 0.69 0.52 0.36 45456361
weighted avg 0.71 0.47 0.33 45456361
Accuracy: 0.47456570489661504
precision recall f1-score support
0 0.92 0.04 0.08 24893266
1 0.46 1.00 0.63 20563095
accuracy 0.47 45456361
macro avg 0.69 0.52 0.36 45456361
weighted avg 0.71 0.47 0.33 45456361
Accuracy: 0.47456570489661504
0-1%
precision recall f1-score support
0 1.00 0.15 0.27 4873589
1 0.00 0.99 0.00 3872
accuracy 0.15 4877461
macro avg 0.50 0.57 0.13 4877461
weighted avg 1.00 0.15 0.27 4877461
Accuracy: 0.15409431259419604
precision recall f1-score support
0 1.00 0.15 0.27 4873589
1 0.00 0.99 0.00 3872
accuracy 0.15 4877461
macro avg 0.50 0.57 0.13 4877461
weighted avg 1.00 0.15 0.27 4877461
Accuracy: 0.15409431259419604
1-10%
precision recall f1-score support
0 0.89 0.02 0.04 16949103
1 0.32 1.00 0.49 8016772
accuracy 0.33 24965875
macro avg 0.61 0.51 0.26 24965875
weighted avg 0.71 0.33 0.18 24965875
Accuracy: 0.3323101633730042
precision recall f1-score support
0 0.96 0.05 0.09 21822692
1 0.28 1.00 0.43 8020644
accuracy 0.30 29843336
macro avg 0.62 0.52 0.26 29843336
weighted avg 0.78 0.30 0.18 29843336
Accuracy: 0.30318336395100065
10-20%
precision recall f1-score support
0 0.94 0.05 0.09 23880186
1 0.37 1.00 0.54 13481800
accuracy 0.39 37361986
macro avg 0.66 0.52 0.31 37361986
weighted avg 0.74 0.39 0.25 37361986
Accuracy: 0.3882933043227413
precision recall f1-score support
0 0.48 0.01 0.02 2057494
1 0.73 1.00 0.84 5461156
accuracy 0.73 7518650
macro avg 0.60 0.50 0.43 7518650
weighted avg 0.66 0.73 0.62 7518650
Accuracy: 0.7261151935520339
20-40%
precision recall f1-score support
0 0.35 0.01 0.03 744974
1 0.85 1.00 0.91 4060539
accuracy 0.84 4805513
macro avg 0.60 0.50 0.47 4805513
weighted avg 0.77 0.84 0.78 4805513
Accuracy: 0.8432288082458627
40-80%
precision recall f1-score support
0 0.29 0.02 0.04 235909
1 0.91 1.00 0.95 2483775
accuracy 0.91 2719684
macro avg 0.60 0.51 0.50 2719684
weighted avg 0.86 0.91 0.87 2719684
Accuracy: 0.9108234633141203
precision recall f1-score support
0 0.92 0.04 0.08 24861069
1 0.46 1.00 0.63 20026114
accuracy 0.47 44887183
macro avg 0.69 0.52 0.36 44887183
weighted avg 0.71 0.47 0.33 44887183
Accuracy: 0.4686573447926104
80-90%
precision recall f1-score support
0 0.26 0.03 0.05 18577
1 0.94 1.00 0.97 296772
accuracy 0.94 315349
macro avg 0.60 0.51 0.51 315349
weighted avg 0.90 0.94 0.91 315349
Accuracy: 0.9382335127113135
90-100%
precision recall f1-score support
0 0.25 0.03 0.05 13620
1 0.95 1.00 0.97 240209
accuracy 0.94 253829
macro avg 0.60 0.51 0.51 253829
weighted avg 0.91 0.94 0.92 253829
Accuracy: 0.943355566148864
Treshold: 0.6
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.97 0.01 0.02 22531902
1 0.43 1.00 0.60 16938696
accuracy 0.43 39470598
macro avg 0.70 0.50 0.31 39470598
weighted avg 0.74 0.43 0.27 39470598
Accuracy: 0.43401949471350804
0-1%
precision recall f1-score support
0 1.00 0.08 0.15 1549999
1 0.00 0.00 0.00 0
accuracy 0.08 1549999
macro avg 0.50 0.04 0.07 1549999
weighted avg 1.00 0.08 0.15 1549999
Accuracy: 0.07853359905393488
1-10%
precision recall f1-score support
0 0.98 0.00 0.01 11439888
1 0.10 1.00 0.18 1271288
accuracy 0.10 12711176
macro avg 0.54 0.50 0.10 12711176
weighted avg 0.89 0.10 0.03 12711176
Accuracy: 0.10443384624679888
10-20%
precision recall f1-score support
0 0.82 0.00 0.00 5044441
1 0.43 1.00 0.60 3812372
accuracy 0.43 8856813
macro avg 0.62 0.50 0.30 8856813
weighted avg 0.65 0.43 0.26 8856813
Accuracy: 0.4313116919144618
20-40%
precision recall f1-score support
0 0.72 0.00 0.00 2995598
1 0.65 1.00 0.79 5583215
accuracy 0.65 8578813
macro avg 0.69 0.50 0.40 8578813
weighted avg 0.68 0.65 0.51 8578813
Accuracy: 0.6512376479123627
40-80%
precision recall f1-score support
0 0.74 0.00 0.01 1295061
1 0.79 1.00 0.89 5001564
accuracy 0.79 6296625
macro avg 0.77 0.50 0.45 6296625
weighted avg 0.78 0.79 0.70 6296625
Accuracy: 0.79471367597721
80-90%
precision recall f1-score support
0 0.81 0.00 0.01 117971
1 0.85 1.00 0.92 692761
accuracy 0.85 810732
macro avg 0.83 0.50 0.46 810732
weighted avg 0.85 0.85 0.79 810732
Accuracy: 0.8549459007415521
90-100%
precision recall f1-score support
0 0.78 0.00 0.01 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 0.81 666440
Accuracy: 0.8669437608786987
Treshold: 0.5
All
precision recall f1-score support
0 0.96 0.02 0.04 22531902
1 0.43 1.00 0.61 16938696
accuracy 0.44 39470598
macro avg 0.70 0.51 0.32 39470598
weighted avg 0.73 0.44 0.28 39470598
Accuracy: 0.44080791479267684
precision recall f1-score support
0 0.96 0.02 0.04 22531902
1 0.43 1.00 0.61 16938696
accuracy 0.44 39470598
macro avg 0.70 0.51 0.32 39470598
weighted avg 0.73 0.44 0.28 39470598
Accuracy: 0.44080791479267684
0-1%
precision recall f1-score support
0 1.00 0.17 0.29 1549999
1 0.00 0.00 0.00 0
accuracy 0.17 1549999
macro avg 0.50 0.08 0.14 1549999
weighted avg 1.00 0.17 0.29 1549999
Accuracy: 0.16862785072764563
1-10%
precision recall f1-score support
0 0.99 0.03 0.06 12989887
1 0.09 1.00 0.17 1271288
accuracy 0.12 14261175
macro avg 0.54 0.52 0.12 14261175
weighted avg 0.91 0.12 0.07 14261175
Accuracy: 0.11858826499219033
precision recall f1-score support
0 0.98 0.01 0.03 11439888
1 0.10 1.00 0.18 1271288
accuracy 0.11 12711176
macro avg 0.54 0.51 0.11 12711176
weighted avg 0.90 0.11 0.04 12711176
Accuracy: 0.11248644499926679
10-20%
precision recall f1-score support
0 0.81 0.01 0.01 5044441
1 0.43 1.00 0.60 3812372
accuracy 0.43 8856813
macro avg 0.62 0.50 0.31 8856813
weighted avg 0.65 0.43 0.27 8856813
Accuracy: 0.43288471823894215
20-40%
precision recall f1-score support
0 0.97 0.02 0.04 21029926
1 0.34 1.00 0.51 10666875
accuracy 0.35 31696801
macro avg 0.65 0.51 0.28 31696801
weighted avg 0.76 0.35 0.20 31696801
Accuracy: 0.3507822130062904
precision recall f1-score support
0 0.72 0.01 0.01 2995598
1 0.65 1.00 0.79 5583215
accuracy 0.65 8578813
macro avg 0.69 0.50 0.40 8578813
weighted avg 0.68 0.65 0.52 8578813
Accuracy: 0.652011764331499
40-80%
precision recall f1-score support
0 0.96 0.02 0.04 22324987
1 0.42 1.00 0.59 15668439
accuracy 0.42 37993426
macro avg 0.69 0.51 0.32 37993426
weighted avg 0.74 0.42 0.27 37993426
Accuracy: 0.42446380065856654
precision recall f1-score support
0 0.73 0.01 0.02 1295061
1 0.80 1.00 0.89 5001564
accuracy 0.80 6296625
macro avg 0.76 0.50 0.45 6296625
weighted avg 0.78 0.80 0.71 6296625
Accuracy: 0.7953721239552936
80-90%
precision recall f1-score support
0 0.78 0.01 0.02 117971
1 0.86 1.00 0.92 692761
accuracy 0.86 810732
macro avg 0.82 0.51 0.47 810732
weighted avg 0.85 0.86 0.79 810732
Accuracy: 0.8557155755539438
90-100%
precision recall f1-score support
0 0.80 0.01 0.03 88944
1 0.87 1.00 0.93 577496
accuracy 0.87 666440
macro avg 0.83 0.51 0.48 666440
weighted avg 0.86 0.87 0.81 666440
Accuracy: 0.8678380649420803
Treshold: 0.6
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.7
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.8
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Individual Workload Result
zipf_1_15
Ignore Obj Size
0.01
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
| Offline Clock 2nd iteration | 6046758 | 0.403719 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| Zipf Optimal Distribution | 9519768 | 0.404397 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.9] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| Offline Clock 1st iteration | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.8] | 10440919 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.9] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.7] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.9] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.8] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.9] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.6] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.8] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.9] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.7] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.9] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.9] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.8] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.9] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.8] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 10439791 | 0.405179 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.8] | 8731112 | 0.405191 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.8] | 8730451 | 0.405225 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.8] | 8737176 | 0.405235 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.7] | 6647217 | 0.40926 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.7] | 6644960 | 0.409272 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 6643390 | 0.409278 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.6] | 5395897 | 0.413662 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.6] | 5395433 | 0.413663 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 5394390 | 0.41367 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | 8242479 | 0.413734 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.6] | 6734228 | 0.416334 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.6] | 6613680 | 0.416755 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 6555803 | 0.416964 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.5] | 4544576 | 0.417459 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.5] | 4542983 | 0.417466 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | 4543024 | 0.417467 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | 5951926 | 0.421107 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.3] | 3360769 | 0.423796 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.3] | 3359639 | 0.423802 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | 3359046 | 0.423806 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.5] | 3769272 | 0.42713 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.5] | 3795018 | 0.42791 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | 3794070 | 0.42792 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.5] | 3705737 | 0.428311 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | 1758243 | 0.435337 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.5] | 2199323 | 0.435544 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 1538851 | 0.439285 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.3] | 1455705 | 0.439779 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.3] | 1395979 | 0.440154 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | 1175850 | 0.441271 | ../../result/log/zipf_1_15 | 0.01 | 1 |
0.1
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
| Offline Clock 2nd iteration | 5855919 | 0.209857 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| Zipf Optimal Distribution | 8927244 | 0.211885 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.8] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| Offline Clock 1st iteration | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.8] | 10273543 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.9] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.8] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.9] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.8] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.9] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.8] | 10273433 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.9] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.8] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.8] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.9] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.9] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.9] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.8] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.6] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.9] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.7] | 10270543 | 0.213824 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.7] | 10239417 | 0.213887 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 10143683 | 0.214071 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 7216965 | 0.216996 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.7] | 7215536 | 0.216998 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.7] | 7216309 | 0.217004 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | 7890608 | 0.219222 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.6] | 4737250 | 0.22218 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.6] | 4734029 | 0.22219 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 4733150 | 0.222191 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.6] | 6313074 | 0.223174 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.6] | 6304059 | 0.2232 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 6293267 | 0.223231 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | 5377652 | 0.224473 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.5] | 3704922 | 0.226196 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 3703970 | 0.226198 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.5] | 3704170 | 0.226199 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.5] | 3878974 | 0.228482 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 4110260 | 0.23031 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.5] | 4090224 | 0.23038 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.5] | 4083679 | 0.230404 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 2487684 | 0.232159 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.3] | 2487458 | 0.232161 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.3] | 2486200 | 0.232167 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | 2224245 | 0.234625 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 1684624 | 0.24083 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.3] | 1659779 | 0.240959 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.3] | 1647700 | 0.241021 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.5] | 420889 | 0.248217 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | 193561 | 0.2498 | ../../result/log/zipf_1_15 | 0.1 | 1 |
0.2
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
| Offline Clock 2nd iteration | 5679810 | 0.147307 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| Zipf Optimal Distribution | 8496578 | 0.150203 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.8] | 10000375 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| Offline Clock 1st iteration | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.8] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.9] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.8] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.9] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.8] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.9] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.8] | 10000097 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.9] | 10000395 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.9] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.8] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.9] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.7] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.6] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.9] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.8] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.8] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.9] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 9999712 | 0.152751 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.7] | 9999162 | 0.152753 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.7] | 9604876 | 0.15338 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 9586284 | 0.153416 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.7] | 9568910 | 0.153447 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.6] | 6040582 | 0.160527 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 6035426 | 0.16054 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.6] | 6031811 | 0.160549 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | 4696286 | 0.163388 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.6] | 4356984 | 0.164048 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 4353128 | 0.164057 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.6] | 4347879 | 0.164066 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.5] | 4021354 | 0.166205 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 4020575 | 0.166207 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.5] | 4019865 | 0.166209 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.5] | 3445463 | 0.16707 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.5] | 3314446 | 0.167228 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | 3311970 | 0.167232 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.5] | 3309778 | 0.167235 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.3] | 1883662 | 0.171925 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 1875241 | 0.171937 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.3] | 1864327 | 0.171946 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | 2022522 | 0.172074 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.3] | 1747002 | 0.175033 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 1742919 | 0.175052 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.3] | 1740023 | 0.175066 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.5] | 217023 | 0.183617 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | 101791 | 0.184441 | ../../result/log/zipf_1_15 | 0.2 | 1 |
0.4
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
| Offline Clock 2nd iteration | 5220469 | 0.0827401 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| Zipf Optimal Distribution | 7658498 | 0.0867334 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.8] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| Offline Clock 1st iteration | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.8] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.9] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.8] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.9] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.8] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.9] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.8] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.9] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.8] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.8] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.9] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.9] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.6] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.9] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.9] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.8] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.7] | 8399329 | 0.0906425 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 8395556 | 0.090647 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.7] | 8394244 | 0.090648 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.7] | 8348337 | 0.0907016 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.7] | 8343410 | 0.0907082 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 8341028 | 0.0907109 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.6] | 5443960 | 0.0949 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.6] | 5443291 | 0.0949008 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 5441395 | 0.0949039 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.6] | 5428568 | 0.0949253 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 5428111 | 0.0949261 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.6] | 5427760 | 0.0949267 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | 4022189 | 0.0976843 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.5] | 3762497 | 0.0984022 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.5] | 3761198 | 0.0984033 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | 3760799 | 0.0984036 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.5] | 3727070 | 0.0984849 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 3726531 | 0.0984863 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.5] | 3725966 | 0.0984879 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.5] | 2082106 | 0.103085 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.3] | 1809011 | 0.104392 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 1808268 | 0.104395 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.3] | 1807381 | 0.104398 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.3] | 1791179 | 0.104443 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 1790454 | 0.104446 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.3] | 1789547 | 0.10445 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | 1267709 | 0.106156 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.5] | 87314 | 0.113052 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | 36115 | 0.113426 | ../../result/log/zipf_1_15 | 0.4 | 1 |
zipf_1_16
Ignore Obj Size
0.01
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
| Offline Clock 2nd iteration | 6044928 | 0.403882 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| Zipf Optimal Distribution | 9516893 | 0.40457 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.9] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| Offline Clock 1st iteration | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.8] | 10437581 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.9] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.7] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.9] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.8] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.9] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.6] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.8] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.9] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.7] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.9] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.9] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.8] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.9] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.8] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 10436347 | 0.405354 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.8] | 8726327 | 0.405386 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.8] | 8725868 | 0.40542 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.8] | 8732526 | 0.405431 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.7] | 6644635 | 0.409435 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.7] | 6642620 | 0.409445 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 6641067 | 0.409452 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.6] | 5391766 | 0.413825 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.6] | 5391977 | 0.413827 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 5390735 | 0.413832 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | 8239578 | 0.413925 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.6] | 6733777 | 0.416491 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.6] | 6613943 | 0.416905 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 6555117 | 0.417117 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.5] | 4543597 | 0.417588 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.5] | 4542423 | 0.417593 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | 4542238 | 0.417596 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | 5949888 | 0.421275 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.3] | 3363799 | 0.423905 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.3] | 3362433 | 0.423914 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | 3362161 | 0.423915 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.5] | 3768645 | 0.427273 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.5] | 3794773 | 0.428055 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | 3793209 | 0.428066 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.5] | 3704986 | 0.428455 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | 1757198 | 0.435467 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.5] | 2199923 | 0.435688 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 1541566 | 0.439412 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.3] | 1456803 | 0.439916 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.3] | 1396899 | 0.440291 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | 1176660 | 0.441402 | ../../result/log/zipf_1_16 | 0.01 | 1 |
0.1
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
| Offline Clock 2nd iteration | 5851636 | 0.210029 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| Zipf Optimal Distribution | 8926367 | 0.212052 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.8] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| Offline Clock 1st iteration | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.8] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.9] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.8] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.9] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.8] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.9] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.8] | 10274500 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.9] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.8] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.8] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.9] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.9] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.9] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.8] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.6] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.9] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.7] | 10271666 | 0.213989 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.7] | 10243461 | 0.214046 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 10147164 | 0.214231 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 7216374 | 0.217167 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.7] | 7214966 | 0.217169 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.7] | 7215727 | 0.217175 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | 7894610 | 0.21938 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.6] | 4738193 | 0.222326 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.6] | 4735021 | 0.222335 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 4733840 | 0.222338 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.6] | 6318541 | 0.223323 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.6] | 6309387 | 0.22335 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 6298342 | 0.223385 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | 5380365 | 0.224623 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.5] | 3706147 | 0.226329 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.5] | 3705147 | 0.226332 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 3704837 | 0.226332 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.5] | 3880149 | 0.228621 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 4111649 | 0.230457 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.5] | 4091646 | 0.230531 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.5] | 4085206 | 0.230552 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 2487232 | 0.232314 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.3] | 2486949 | 0.232317 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.3] | 2485862 | 0.232323 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | 2224337 | 0.23477 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 1682058 | 0.241013 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.3] | 1658056 | 0.241133 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.3] | 1646157 | 0.241196 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.5] | 420884 | 0.248365 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | 193186 | 0.249944 | ../../result/log/zipf_1_16 | 0.1 | 1 |
0.2
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
| Offline Clock 2nd iteration | 5683642 | 0.147393 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| Zipf Optimal Distribution | 8505430 | 0.150288 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.8] | 10010485 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| Offline Clock 1st iteration | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.8] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.9] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.8] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.9] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.8] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.9] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.9] | 10010505 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.9] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.8] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.8] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.9] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.7] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.6] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.9] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.9] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.8] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.8] | 10010226 | 0.152837 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 10009864 | 0.152838 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.7] | 10009338 | 0.152839 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.7] | 9616362 | 0.153467 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 9598544 | 0.153498 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.7] | 9581302 | 0.153529 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.6] | 6044601 | 0.160647 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 6039481 | 0.160661 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.6] | 6035935 | 0.160669 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | 4701991 | 0.163493 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.6] | 4361733 | 0.164157 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 4357859 | 0.164165 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.6] | 4352832 | 0.164175 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.5] | 4026213 | 0.16631 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 4025598 | 0.166311 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.5] | 4024916 | 0.166314 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.5] | 3449253 | 0.167174 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.5] | 3318529 | 0.167323 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | 3316277 | 0.167327 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.5] | 3313986 | 0.167329 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.3] | 1884768 | 0.172017 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 1876720 | 0.172025 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.3] | 1865708 | 0.172037 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | 2024363 | 0.172162 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.3] | 1746643 | 0.17513 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 1742907 | 0.175147 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.3] | 1739888 | 0.175162 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.5] | 216807 | 0.183694 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | 101602 | 0.184524 | ../../result/log/zipf_1_16 | 0.2 | 1 |
0.4
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
| Offline Clock 2nd iteration | 5225924 | 0.0827439 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| Zipf Optimal Distribution | 7664562 | 0.0867505 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.8] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| Offline Clock 1st iteration | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.8] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.9] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.8] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.9] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.8] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.9] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.8] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.9] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.8] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.8] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.9] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.9] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.6] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.9] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.9] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.8] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.7] | 8405327 | 0.0906652 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 8401564 | 0.0906702 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.7] | 8400206 | 0.0906713 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.7] | 8355176 | 0.0907292 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.7] | 8350532 | 0.0907341 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 8348071 | 0.0907372 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.6] | 5452787 | 0.0949107 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.6] | 5452024 | 0.094912 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 5450060 | 0.0949163 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.6] | 5437415 | 0.0949367 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 5436795 | 0.0949382 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.6] | 5436522 | 0.0949385 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | 4028109 | 0.0976989 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.5] | 3770881 | 0.0984211 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.5] | 3769609 | 0.0984242 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | 3769124 | 0.0984251 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.5] | 3732022 | 0.0985083 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 3731373 | 0.0985102 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.5] | 3730649 | 0.0985127 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.5] | 2084724 | 0.103106 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.3] | 1810756 | 0.104408 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 1809921 | 0.104411 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.3] | 1809031 | 0.104415 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 1791955 | 0.104464 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.3] | 1792437 | 0.104464 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.3] | 1790913 | 0.10447 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | 1269156 | 0.106185 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.5] | 87208 | 0.113083 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | 36416 | 0.113451 | ../../result/log/zipf_1_16 | 0.4 | 1 |
zipf_1_17
Ignore Obj Size
0.01
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
| Offline Clock 2nd iteration | 6046350 | 0.403777 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| Zipf Optimal Distribution | 9518366 | 0.404457 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.9] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| Offline Clock 1st iteration | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.8] | 10439514 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.9] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.7] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.9] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.8] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.9] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.6] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.8] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.9] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.7] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.9] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.9] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.8] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.9] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.8] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 10438399 | 0.405248 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.8] | 8728082 | 0.405269 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.8] | 8726886 | 0.405304 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.8] | 8733354 | 0.405315 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.7] | 6647794 | 0.40932 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.7] | 6645249 | 0.409333 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 6644053 | 0.409339 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.6] | 5395395 | 0.413709 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.6] | 5395990 | 0.413711 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 5394726 | 0.413716 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | 8240720 | 0.413818 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.6] | 6735183 | 0.416378 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.6] | 6615081 | 0.416793 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 6556563 | 0.417008 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.5] | 4546871 | 0.417476 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.5] | 4545638 | 0.417479 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | 4545583 | 0.417482 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | 5952343 | 0.421169 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.3] | 3365292 | 0.423799 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.3] | 3363908 | 0.423807 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | 3363487 | 0.423809 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.5] | 3770422 | 0.427162 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.5] | 3796090 | 0.427953 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | 3794990 | 0.427964 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.5] | 3706669 | 0.428353 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | 1758568 | 0.435363 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.5] | 2203235 | 0.435565 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 1540387 | 0.439321 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.3] | 1456588 | 0.439811 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.3] | 1396529 | 0.440189 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | 1176510 | 0.441305 | ../../result/log/zipf_1_17 | 0.01 | 1 |
0.1
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
| Offline Clock 2nd iteration | 5851791 | 0.209897 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| Zipf Optimal Distribution | 8925674 | 0.211925 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.8] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| Offline Clock 1st iteration | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.8] | 10272629 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.9] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.8] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.9] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.8] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.9] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.8] | 10272511 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.9] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.8] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.8] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.9] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.9] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.9] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.8] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.6] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.9] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.7] | 10269580 | 0.213858 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.7] | 10239477 | 0.213918 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 10141557 | 0.214113 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 7212567 | 0.217055 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.7] | 7211379 | 0.217057 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.7] | 7211905 | 0.217064 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | 7890041 | 0.219254 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.6] | 4738449 | 0.222188 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.6] | 4735201 | 0.222198 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 4734409 | 0.2222 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.6] | 6309030 | 0.223228 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.6] | 6300211 | 0.223253 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 6289254 | 0.223285 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | 5375344 | 0.224522 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.5] | 3706288 | 0.226191 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.5] | 3705211 | 0.226195 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 3704953 | 0.226195 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.5] | 3880286 | 0.228496 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 4111180 | 0.23034 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.5] | 4091778 | 0.230408 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.5] | 4085178 | 0.230431 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 2488327 | 0.232164 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.3] | 2487992 | 0.232166 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.3] | 2486732 | 0.232173 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | 2224946 | 0.234618 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 1684121 | 0.240858 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.3] | 1660063 | 0.240977 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.3] | 1647886 | 0.241041 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.5] | 420548 | 0.248225 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | 193420 | 0.249806 | ../../result/log/zipf_1_17 | 0.1 | 1 |
0.2
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
| Offline Clock 2nd iteration | 5680729 | 0.147336 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| Zipf Optimal Distribution | 8498188 | 0.150231 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.8] | 10002858 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| Offline Clock 1st iteration | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.8] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.9] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.8] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.9] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.8] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.9] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.9] | 10002871 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.9] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.8] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.8] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.9] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.7] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.6] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.9] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.9] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.8] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 10002145 | 0.152786 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.8] | 10002553 | 0.152786 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.7] | 10001590 | 0.152788 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.7] | 9607488 | 0.153418 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 9589724 | 0.153449 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.7] | 9572529 | 0.153477 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.6] | 6036959 | 0.160581 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 6032244 | 0.160593 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.6] | 6028506 | 0.160602 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | 4697984 | 0.163428 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.6] | 4357895 | 0.164091 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 4354036 | 0.164098 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.6] | 4348719 | 0.164108 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.5] | 4021861 | 0.166254 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 4021063 | 0.166257 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.5] | 4020453 | 0.166258 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.5] | 3449515 | 0.167086 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.5] | 3317870 | 0.167243 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | 3315498 | 0.167247 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.5] | 3313407 | 0.16725 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.3] | 1883432 | 0.171953 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 1874738 | 0.171965 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.3] | 1863772 | 0.171976 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | 2022310 | 0.172107 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.3] | 1746120 | 0.175073 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 1742041 | 0.175092 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.3] | 1739006 | 0.175107 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.5] | 216929 | 0.183643 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | 102090 | 0.184467 | ../../result/log/zipf_1_17 | 0.2 | 1 |
0.4
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
| Offline Clock 2nd iteration | 5224778 | 0.0827112 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| Zipf Optimal Distribution | 7661751 | 0.0867151 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.8] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| Offline Clock 1st iteration | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.8] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.9] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.8] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.9] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.8] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.9] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.8] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.9] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.8] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.8] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.9] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.9] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.6] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.9] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.9] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.8] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.7] | 8404341 | 0.0906198 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 8400569 | 0.090626 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.7] | 8399085 | 0.0906271 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.7] | 8353580 | 0.0906838 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.7] | 8348581 | 0.09069 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 8346174 | 0.0906931 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.6] | 5447795 | 0.0948853 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.6] | 5447141 | 0.0948863 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 5445326 | 0.0948899 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.6] | 5432304 | 0.0949123 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 5431793 | 0.0949135 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.6] | 5431443 | 0.0949136 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | 4026445 | 0.097665 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.5] | 3767780 | 0.0983931 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.5] | 3766359 | 0.0983955 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | 3765984 | 0.098396 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.5] | 3730537 | 0.0984798 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 3729960 | 0.0984815 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.5] | 3729374 | 0.0984827 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.5] | 2083598 | 0.103091 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.3] | 1808285 | 0.104398 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 1807629 | 0.1044 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.3] | 1806752 | 0.104404 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.3] | 1790047 | 0.104452 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 1789334 | 0.104454 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.3] | 1788454 | 0.104458 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | 1268039 | 0.10616 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.5] | 87284 | 0.113031 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | 35743 | 0.113408 | ../../result/log/zipf_1_17 | 0.4 | 1 |
zipf_1_18
Ignore Obj Size
0.01
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
| Offline Clock 2nd iteration | 6046061 | 0.40372 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| Zipf Optimal Distribution | 9518058 | 0.404413 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.9] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| Offline Clock 1st iteration | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.8] | 10439702 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.9] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.7] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.9] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.8] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.9] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.6] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.8] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.9] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.7] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.9] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.9] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.8] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.9] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.8] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 10438585 | 0.405205 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.8] | 8729644 | 0.405207 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.8] | 8728768 | 0.405242 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.8] | 8735480 | 0.405254 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.7] | 6648927 | 0.409247 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.7] | 6646598 | 0.409259 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 6644967 | 0.409265 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.6] | 5391546 | 0.413664 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.6] | 5392025 | 0.413664 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 5390439 | 0.413671 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | 8243229 | 0.413757 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.6] | 6736280 | 0.41633 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.6] | 6616555 | 0.416744 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 6558117 | 0.416954 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.5] | 4544111 | 0.417436 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.5] | 4542688 | 0.417442 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | 4542541 | 0.417445 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | 5952093 | 0.421119 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.3] | 3364397 | 0.423761 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.3] | 3363098 | 0.423769 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | 3362796 | 0.42377 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.5] | 3768750 | 0.427127 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.5] | 3794691 | 0.427902 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | 3794220 | 0.427904 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.5] | 3706346 | 0.428292 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | 1758895 | 0.435314 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.5] | 2200039 | 0.435536 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 1539105 | 0.439275 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.3] | 1456112 | 0.439763 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.3] | 1395766 | 0.440143 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | 1176016 | 0.441251 | ../../result/log/zipf_1_18 | 0.01 | 1 |
0.1
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
| Offline Clock 2nd iteration | 5852167 | 0.209865 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| Zipf Optimal Distribution | 8924501 | 0.211883 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.8] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| Offline Clock 1st iteration | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.8] | 10268390 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.9] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.8] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.9] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.8] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.9] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.8] | 10268275 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.9] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.8] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.8] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.9] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.9] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.9] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.8] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.6] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.9] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.7] | 10265072 | 0.213828 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.7] | 10232603 | 0.21389 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 10137363 | 0.214076 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 7214951 | 0.216993 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.7] | 7213180 | 0.216996 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.7] | 7213784 | 0.217002 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | 7887789 | 0.219208 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.6] | 4741084 | 0.222144 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.6] | 4737750 | 0.222154 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 4736931 | 0.222155 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.6] | 6310574 | 0.223174 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.6] | 6301429 | 0.2232 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 6290318 | 0.223233 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | 5378521 | 0.22446 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.5] | 3707404 | 0.22616 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.5] | 3706614 | 0.226162 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 3706165 | 0.226163 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.5] | 3881983 | 0.228452 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 4111719 | 0.230295 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.5] | 4091554 | 0.230369 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.5] | 4084804 | 0.230396 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 2486239 | 0.232138 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.3] | 2485952 | 0.23214 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.3] | 2484643 | 0.232147 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | 2224237 | 0.234594 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 1685281 | 0.240813 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.3] | 1659881 | 0.240945 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.3] | 1647709 | 0.241008 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.5] | 420590 | 0.248191 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | 193808 | 0.249767 | ../../result/log/zipf_1_18 | 0.1 | 1 |
0.2
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
| Offline Clock 2nd iteration | 5677502 | 0.147262 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| Zipf Optimal Distribution | 8501025 | 0.150135 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.8] | 10001051 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| Offline Clock 1st iteration | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.8] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.9] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.8] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.9] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.8] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.9] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.9] | 10001064 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.9] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.8] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.8] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.9] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.7] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.6] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.9] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.9] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.8] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.8] | 10000770 | 0.152707 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 10000400 | 0.152708 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.7] | 9999791 | 0.152709 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.7] | 9604512 | 0.153342 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 9586153 | 0.153375 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.7] | 9569726 | 0.153401 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.6] | 6037496 | 0.160511 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 6032945 | 0.160522 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.6] | 6029208 | 0.160532 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | 4696106 | 0.163353 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.6] | 4358289 | 0.164 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 4354357 | 0.16401 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.6] | 4348912 | 0.164022 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.5] | 4021792 | 0.166162 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 4021129 | 0.166164 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.5] | 4020404 | 0.166167 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.5] | 3447337 | 0.167023 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.5] | 3315878 | 0.167176 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | 3313663 | 0.16718 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.5] | 3311610 | 0.16718 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.3] | 1884210 | 0.171862 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 1875598 | 0.171873 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.3] | 1864572 | 0.171883 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | 2022922 | 0.172008 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.3] | 1746378 | 0.174979 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 1742595 | 0.174995 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.3] | 1739614 | 0.175008 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.5] | 216802 | 0.183554 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | 101898 | 0.184375 | ../../result/log/zipf_1_18 | 0.2 | 1 |
0.4
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
| Offline Clock 2nd iteration | 5223361 | 0.0826611 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| Zipf Optimal Distribution | 7661309 | 0.0866641 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.8] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| Offline Clock 1st iteration | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.8] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.9] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.8] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.9] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.8] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.9] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.8] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.9] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.8] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.8] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.9] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.9] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.6] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.9] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.9] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.8] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.7] | 8398050 | 0.0905737 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 8394273 | 0.0905789 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.7] | 8392971 | 0.0905802 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.7] | 8347425 | 0.0906399 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.7] | 8342049 | 0.0906462 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 8339582 | 0.0906492 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.6] | 5440870 | 0.0948423 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.6] | 5440331 | 0.0948431 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 5438445 | 0.0948469 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.6] | 5425937 | 0.094869 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 5425339 | 0.0948704 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.6] | 5425052 | 0.0948708 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | 4021280 | 0.0976172 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.5] | 3760419 | 0.0983445 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.5] | 3759353 | 0.098348 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | 3759032 | 0.0983493 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.5] | 3726947 | 0.098431 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 3726252 | 0.0984329 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.5] | 3725664 | 0.0984347 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.5] | 2082036 | 0.103021 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.3] | 1807986 | 0.104327 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 1807260 | 0.10433 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.3] | 1806245 | 0.104333 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.3] | 1790277 | 0.104379 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 1789672 | 0.104381 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.3] | 1788884 | 0.104384 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | 1267830 | 0.106096 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.5] | 87300 | 0.112988 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | 35928 | 0.113367 | ../../result/log/zipf_1_18 | 0.4 | 1 |
zipf_1_19
Ignore Obj Size
0.01
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
| Offline Clock 2nd iteration | 6047379 | 0.403776 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| Zipf Optimal Distribution | 9518278 | 0.404475 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.9] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| Offline Clock 1st iteration | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.8] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.9] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.7] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.9] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.9] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.8] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.6] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.8] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.9] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.7] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.9] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.9] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.8] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.9] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.8] | 10442755 | 0.405257 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.8] | 8731810 | 0.405258 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 10441576 | 0.405263 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.8] | 8730846 | 0.405291 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.8] | 8737350 | 0.405305 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.7] | 6647233 | 0.409316 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.7] | 6645302 | 0.409327 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 6643912 | 0.409333 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.6] | 5394297 | 0.413707 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.6] | 5394857 | 0.413707 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 5393299 | 0.413714 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | 8244858 | 0.413813 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.6] | 6739492 | 0.416374 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.6] | 6618972 | 0.416793 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 6559818 | 0.417008 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.5] | 4547437 | 0.417477 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.5] | 4546078 | 0.417482 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | 4545854 | 0.417485 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | 5953935 | 0.421167 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.3] | 3364481 | 0.42381 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.3] | 3363160 | 0.423819 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | 3362791 | 0.423821 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.5] | 3769376 | 0.427171 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.5] | 3800509 | 0.427938 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | 3799093 | 0.427947 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.5] | 3710430 | 0.428343 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | 1759129 | 0.435369 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.5] | 2201811 | 0.435574 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 1542115 | 0.439306 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.3] | 1458005 | 0.439802 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.3] | 1397220 | 0.440189 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | 1176733 | 0.441303 | ../../result/log/zipf_1_19 | 0.01 | 1 |
0.1
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
| Offline Clock 2nd iteration | 5852464 | 0.209927 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| Zipf Optimal Distribution | 8923837 | 0.21197 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.8] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| Offline Clock 1st iteration | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.8] | 10270641 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.9] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.8] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.9] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.8] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.9] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.8] | 10270565 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.9] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.8] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.8] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.9] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.9] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.9] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.8] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.6] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.9] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.7] | 10267513 | 0.213888 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.7] | 10237768 | 0.213947 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 10141980 | 0.214132 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 7213949 | 0.217073 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.7] | 7212388 | 0.217075 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.7] | 7213158 | 0.21708 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | 7889703 | 0.219279 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.6] | 4740122 | 0.222219 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.6] | 4737502 | 0.222224 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 4736635 | 0.222227 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.6] | 6314367 | 0.223239 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.6] | 6304920 | 0.223266 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 6294254 | 0.223297 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | 5379727 | 0.224537 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.5] | 3708704 | 0.226217 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.5] | 3707682 | 0.22622 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 3707309 | 0.226221 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.5] | 3883613 | 0.228517 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 4113768 | 0.230355 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.5] | 4093623 | 0.230429 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.5] | 4087149 | 0.230453 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 2489838 | 0.232195 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.3] | 2489585 | 0.232196 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.3] | 2488451 | 0.232202 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | 2225772 | 0.234666 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 1682358 | 0.240908 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.3] | 1658095 | 0.24103 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.3] | 1646121 | 0.241091 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.5] | 421338 | 0.248257 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | 193843 | 0.249839 | ../../result/log/zipf_1_19 | 0.1 | 1 |
0.2
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
| Offline Clock 2nd iteration | 5678610 | 0.147359 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| Zipf Optimal Distribution | 8501803 | 0.150225 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.8] | 10003444 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| Offline Clock 1st iteration | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.8] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.9] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.8] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.9] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.8] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.9] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.9] | 10003463 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.9] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.8] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.8] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.9] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.7] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.6] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.9] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.9] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.8] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.8] | 10003230 | 0.152792 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 10002848 | 0.152793 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.7] | 10002271 | 0.152794 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.7] | 9608791 | 0.153425 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 9590329 | 0.153458 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.7] | 9573701 | 0.153485 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.6] | 6040435 | 0.16059 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 6035527 | 0.160602 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.6] | 6031708 | 0.160611 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | 4697660 | 0.163434 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.6] | 4358524 | 0.164088 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 4354820 | 0.164095 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.6] | 4349662 | 0.164106 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.5] | 4021224 | 0.166255 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 4020467 | 0.166257 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.5] | 4019870 | 0.16626 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.5] | 3445218 | 0.167118 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.5] | 3313887 | 0.167272 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | 3311199 | 0.167277 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.5] | 3309168 | 0.167279 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.3] | 1882802 | 0.17196 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 1874229 | 0.171972 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.3] | 1863324 | 0.171982 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | 2022841 | 0.172114 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.3] | 1747213 | 0.175067 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 1743406 | 0.175084 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.3] | 1740286 | 0.175099 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.5] | 216718 | 0.183648 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | 101988 | 0.184469 | ../../result/log/zipf_1_19 | 0.2 | 1 |
0.4
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
| Offline Clock 2nd iteration | 5227240 | 0.0827181 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| Zipf Optimal Distribution | 7662557 | 0.0867323 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.8] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| Offline Clock 1st iteration | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.8] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.9] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.8] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.9] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.8] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.9] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.8] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.9] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.8] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.8] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.9] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.9] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.6] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.9] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.9] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.8] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.7] | 8406465 | 0.0906164 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 8402875 | 0.0906213 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.7] | 8401407 | 0.0906235 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.7] | 8355243 | 0.0906845 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.7] | 8350256 | 0.0906917 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 8347871 | 0.0906953 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.6] | 5449365 | 0.0948911 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.6] | 5448824 | 0.0948916 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 5447047 | 0.0948944 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.6] | 5433646 | 0.0949202 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 5433109 | 0.094921 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.6] | 5432704 | 0.0949214 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | 4025183 | 0.0976775 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.5] | 3765171 | 0.0984136 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.5] | 3763831 | 0.0984161 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | 3763446 | 0.0984165 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.5] | 3728076 | 0.0984957 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 3727412 | 0.0984974 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.5] | 3726882 | 0.0984986 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.5] | 2086051 | 0.103083 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.3] | 1811701 | 0.104391 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 1811005 | 0.104394 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.3] | 1810195 | 0.104396 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.3] | 1794046 | 0.104439 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 1793392 | 0.104442 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.3] | 1792436 | 0.104446 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | 1268826 | 0.106166 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.5] | 86897 | 0.113065 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | 36230 | 0.113439 | ../../result/log/zipf_1_19 | 0.4 | 1 |