Zipf1 Decay Model with Treshold 0.5 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=0.5] | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 0 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.5] | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.5] | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 0 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.5] | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.5] | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.5] | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.5] | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 0 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.5] | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 0 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.5] | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 0 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.5] | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 0 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.5] | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.5] | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.5] | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.5] | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.5] | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 0 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.5] | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 0 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.5] | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.5] | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.5] | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 0 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.5] | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 0 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.5] | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 0 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.5] | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 0 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.5] | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.5] | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.5] | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 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=0.5] | 56.4884 | 56.4581 | 56.4771 | 56.4821 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 34.2313 | 34.1913 | 34.2091 | 34.2059 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 45.1582 | 45.1236 | 45.1456 | 45.1473 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | 63.6617 | 63.62 | 63.6488 | 63.656 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0.00120657 | 0.0009003 | 0.00106129 | 0.0011401 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 25.7027 | 25.6594 | 25.6791 | 25.6759 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.5] | 56.4736 | 56.4458 | 56.463 | 56.4691 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 34.2365 | 34.1957 | 34.2134 | 34.209 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 45.1495 | 45.1174 | 45.139 | 45.1424 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.5] | 63.6526 | 63.6064 | 63.6383 | 63.6434 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 24.7571 | 24.7182 | 24.7302 | 24.7213 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.5] | 56.4888 | 56.4576 | 56.476 | 56.4804 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 34.2111 | 34.1725 | 34.1891 | 34.1862 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 45.1412 | 45.1099 | 45.1313 | 45.1346 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.5] | 64.5077 | 64.469 | 64.4944 | 64.4977 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 23.0517 | 23.0227 | 23.0355 | 23.0339 |
| LR_decay_rtime[cache_size=0.01,treshold=0.5] | 63.9045 | 63.8833 | 63.8961 | 63.8992 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 21.0626 | 21.0399 | 21.053 | 21.0563 |
| LR_decay_vtime[cache_size=0.01,treshold=0.5] | 78.9356 | 78.8953 | 78.9192 | 78.9232 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 63.9465 | 63.9038 | 63.9266 | 63.9337 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 28.5692 | 28.5202 | 28.538 | 28.5346 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 52.062 | 52.0046 | 52.041 | 52.054 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 59.9918 | 59.9463 | 59.9715 | 59.9793 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0.926416 | 0.887802 | 0.904352 | 0.900935 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 34.4926 | 34.4349 | 34.4566 | 34.4537 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.5] | 63.9446 | 63.9002 | 63.9235 | 63.9312 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 28.5571 | 28.5076 | 28.526 | 28.5238 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 51.9551 | 51.8869 | 51.9306 | 51.948 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.5] | 60.1868 | 60.1425 | 60.1657 | 60.1682 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0.212244 | 0.17482 | 0.193878 | 0.193242 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 34.539 | 34.4772 | 34.5007 | 34.4972 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.5] | 63.9373 | 63.8902 | 63.9144 | 63.9207 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 28.543 | 28.4933 | 28.5112 | 28.5068 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 51.9016 | 51.8346 | 51.8748 | 51.8849 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.5] | 60.2505 | 60.2055 | 60.2296 | 60.2324 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0.0281544 | 0.0252565 | 0.0264548 | 0.0265709 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 34.4379 | 34.3807 | 34.4015 | 34.397 |
| LR_decay_rtime[cache_size=0.1,treshold=0.5] | 62.2431 | 62.1872 | 62.2175 | 62.2269 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 19.9354 | 19.8855 | 19.9158 | 19.9197 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 44.4933 | 44.4514 | 44.4708 | 44.4691 |
| LR_decay_vtime[cache_size=0.1,treshold=0.5] | 95.9061 | 95.8976 | 95.9029 | 95.9036 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | 66.8995 | 66.8546 | 66.875 | 66.8721 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0.000849965 | 0.000619349 | 0.000711758 | 0.000679926 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 53.6677 | 53.6658 | 53.6668 | 53.6674 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 59.8093 | 59.7863 | 59.7971 | 59.7959 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 4.55626 | 4.52937 | 4.54327 | 4.54304 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 35.9216 | 35.8698 | 35.8926 | 35.8913 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.5] | 66.9198 | 66.8755 | 66.8963 | 66.895 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 53.7185 | 53.7152 | 53.7165 | 53.7159 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.5] | 59.8017 | 59.7802 | 59.7899 | 59.7881 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 4.62462 | 4.59773 | 4.61148 | 4.61077 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 35.8916 | 35.8429 | 35.8637 | 35.8626 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.5] | 66.8726 | 66.8309 | 66.851 | 66.8496 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0.00414881 | 0.00309892 | 0.00359077 | 0.00361985 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 47.907 | 47.8637 | 47.8889 | 47.8873 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.5] | 59.8153 | 59.7931 | 59.8038 | 59.803 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 4.43623 | 4.41164 | 4.42373 | 4.42291 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 35.8676 | 35.8206 | 35.8401 | 35.8388 |
| LR_decay_rtime[cache_size=0.2,treshold=0.5] | 65.5598 | 65.5148 | 65.5391 | 65.5437 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 49.8896 | 49.8702 | 49.879 | 49.8794 |
| LR_decay_vtime[cache_size=0.2,treshold=0.5] | 97.8342 | 97.8299 | 97.8322 | 97.8322 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 59.6696 | 59.6298 | 59.6494 | 59.6452 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.95425 | 3.8717 | 3.90405 | 3.90182 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.8461 | 32.7577 | 32.7894 | 32.7867 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | 59.3149 | 59.2213 | 59.2666 | 59.2741 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.99379 | 3.90988 | 3.94366 | 3.9441 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.8409 | 32.7518 | 32.7837 | 32.7803 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.5] | 59.6621 | 59.6227 | 59.6426 | 59.6394 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.97674 | 3.89142 | 3.9258 | 3.92493 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.8346 | 32.7455 | 32.7772 | 32.7728 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.5] | 59.2998 | 59.2023 | 59.2485 | 59.2557 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.97674 | 3.89142 | 3.9258 | 3.92493 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.8466 | 32.7582 | 32.7899 | 32.7871 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.5] | 59.676 | 59.6376 | 59.6559 | 59.6513 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.93198 | 3.85022 | 3.88232 | 3.87906 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.8167 | 32.7269 | 32.7589 | 32.7553 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.5] | 59.3114 | 59.2161 | 59.2623 | 59.2698 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.9347 | 3.85215 | 3.88473 | 3.88183 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.8334 | 32.7449 | 32.7763 | 32.7715 |
| LR_decay_rtime[cache_size=0.4,treshold=0.5] | 77.4655 | 77.4274 | 77.4485 | 77.4519 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.5] | 99.0597 | 99.0545 | 99.0562 | 99.0554 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 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=0.5] | -3.0176 | -3.03426 | -3.02322 | -3.02186 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | -0.832428 | -0.841616 | -0.837077 | -0.838541 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | -1.75765 | -1.76887 | -1.76279 | -1.76166 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | -5.59918 | -5.61415 | -5.60567 | -5.60483 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | -0.000246808 | -0.000148054 | -0.000246702 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | -1.90768 | -1.91523 | -1.91144 | -1.90972 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.5] | -3.01562 | -3.03228 | -3.02129 | -3.01974 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | -0.833169 | -0.842109 | -0.837669 | -0.838788 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | -1.75741 | -1.76789 | -1.7621 | -1.76092 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.5] | -5.59696 | -5.61168 | -5.60354 | -5.60267 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | -1.82897 | -1.83719 | -1.83272 | -1.83169 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.5] | -3.01686 | -3.03401 | -3.02258 | -3.02112 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | -0.830948 | -0.839888 | -0.835497 | -0.837031 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | -1.75642 | -1.7669 | -1.76111 | -1.75994 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.5] | -5.69689 | -5.71065 | -5.70205 | -5.70079 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | -1.69226 | -1.69854 | -1.69542 | -1.69454 |
| LR_decay_rtime[cache_size=0.01,treshold=0.5] | -5.40769 | -5.41917 | -5.41131 | -5.40919 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | -2.1115 | -2.11627 | -2.11374 | -2.11292 |
| LR_decay_vtime[cache_size=0.01,treshold=0.5] | -7.4812 | -7.49581 | -7.48631 | -7.48519 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | -5.76907 | -5.79047 | -5.77488 | -5.77175 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | -1.37545 | -1.38881 | -1.38055 | -1.37908 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | -3.58103 | -3.597 | -3.58843 | -3.5872 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | -7.69874 | -7.71361 | -7.70577 | -7.70458 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | -0.0818208 | -0.0855856 | -0.0837891 | -0.0837164 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | -3.8204 | -3.8349 | -3.82595 | -3.82383 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.5] | -5.7686 | -5.79093 | -5.77479 | -5.77165 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | -1.37592 | -1.38975 | -1.38121 | -1.38002 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | -3.55952 | -3.57783 | -3.56832 | -3.56711 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.5] | -7.73332 | -7.74634 | -7.73943 | -7.73918 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | -0.0168238 | -0.0196426 | -0.0186096 | -0.0187045 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | -3.826 | -3.84144 | -3.83175 | -3.82944 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.5] | -5.7672 | -5.78953 | -5.77339 | -5.76988 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | -1.37872 | -1.39255 | -1.38401 | -1.38282 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | -3.55204 | -3.57034 | -3.56093 | -3.5601 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.5] | -7.74314 | -7.75757 | -7.75056 | -7.75181 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | -0.00233663 | -0.00280614 | -0.00271196 | -0.00280568 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | -3.81292 | -3.82741 | -3.81847 | -3.81635 |
| LR_decay_rtime[cache_size=0.1,treshold=0.5] | -6.84073 | -6.85867 | -6.84646 | -6.84264 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | -2.25142 | -2.25988 | -2.25491 | -2.25358 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | -4.60597 | -4.61768 | -4.61241 | -4.61329 |
| LR_decay_vtime[cache_size=0.1,treshold=0.5] | -16.0676 | -16.0885 | -16.0751 | -16.0733 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | -9.46559 | -9.4814 | -9.47742 | -9.48085 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 | -0.000654489 | -0.000130898 | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | -6.89635 | -6.90871 | -6.90145 | -6.9012 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | -8.80982 | -8.81762 | -8.81409 | -8.81335 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | -0.481049 | -0.485106 | -0.482151 | -0.481562 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | -4.50278 | -4.52242 | -4.51413 | -4.51419 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.5] | -9.46755 | -9.48282 | -9.47873 | -9.48223 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | -6.90289 | -6.9146 | -6.90761 | -6.90644 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.5] | -8.80851 | -8.81599 | -8.81278 | -8.81204 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | -0.48852 | -0.491653 | -0.489482 | -0.488922 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | -4.49885 | -4.51718 | -4.50903 | -4.5083 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.5] | -9.46297 | -9.47879 | -9.47467 | -9.47765 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | -0.000654296 | -0.000654853 | -0.000654563 | -0.000654515 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | -4.45827 | -4.47068 | -4.467 | -4.46885 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.5] | -8.81113 | -8.8186 | -8.81566 | -8.81531 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | -0.467305 | -0.471358 | -0.468406 | -0.467822 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | -4.49493 | -4.51325 | -4.50497 | -4.50437 |
| LR_decay_rtime[cache_size=0.2,treshold=0.5] | -9.36021 | -9.3813 | -9.37374 | -9.37553 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | -6.40917 | -6.42542 | -6.4176 | -6.41948 |
| LR_decay_vtime[cache_size=0.2,treshold=0.5] | -20.1903 | -20.2075 | -20.1983 | -20.197 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | -9.74211 | -9.80403 | -9.7766 | -9.78019 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | -0.412807 | -0.428867 | -0.420886 | -0.422638 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | -4.26471 | -4.32751 | -4.30519 | -4.31946 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | -9.64996 | -9.71384 | -9.68346 | -9.68488 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | -0.418493 | -0.433106 | -0.426058 | -0.427763 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | -4.26327 | -4.32606 | -4.30436 | -4.31946 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.5] | -9.74055 | -9.80214 | -9.77468 | -9.77829 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | -0.415483 | -0.431433 | -0.423829 | -0.425535 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | -4.26226 | -4.3245 | -4.30311 | -4.31789 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.5] | -9.6484 | -9.71061 | -9.67989 | -9.68164 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | -0.415483 | -0.431433 | -0.423829 | -0.425535 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | -4.26483 | -4.3274 | -4.3053 | -4.31957 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.5] | -9.74389 | -9.80537 | -9.77845 | -9.78152 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | -0.409797 | -0.42619 | -0.418322 | -0.421301 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | -4.25937 | -4.32126 | -4.3001 | -4.31555 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.5] | -9.64962 | -9.7134 | -9.6827 | -9.68432 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | -0.41002 | -0.426859 | -0.418634 | -0.421301 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | -4.26215 | -4.32439 | -4.30289 | -4.31778 |
| LR_decay_rtime[cache_size=0.4,treshold=0.5] | -14.8664 | -14.9185 | -14.8992 | -14.9085 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.5] | -25.9725 | -26.0439 | -26.0089 | -26.0035 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 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_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0.000711758 | -0.000130898 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0.00106129 | -0.000148054 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0.00359077 | -0.000654563 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0.0264548 | -0.00271196 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0.193878 | -0.0186096 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0.904352 | -0.0837891 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.88232 | -0.418322 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.88473 | -0.418634 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.90405 | -0.420886 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.9258 | -0.423829 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.9258 | -0.423829 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.94366 | -0.426058 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 4.42373 | -0.468406 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 4.54327 | -0.482151 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 4.61148 | -0.489482 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 34.1891 | -0.835497 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 34.2091 | -0.837077 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 34.2134 | -0.837669 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 28.538 | -1.38055 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 28.526 | -1.38121 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 28.5112 | -1.38401 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 23.0355 | -1.69542 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 45.1313 | -1.76111 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 45.139 | -1.7621 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 45.1456 | -1.76279 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 24.7302 | -1.83272 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 25.6791 | -1.91144 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 21.053 | -2.11374 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 19.9158 | -2.25491 |
| 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_w_0_75[cache_size=0.1,treshold=0.5] | 51.8748 | -3.56093 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 51.9306 | -3.56832 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 52.041 | -3.58843 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 34.4015 | -3.81847 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 34.4566 | -3.82595 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 34.5007 | -3.83175 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7589 | -4.3001 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7763 | -4.30289 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7772 | -4.30311 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7837 | -4.30436 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7894 | -4.30519 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7899 | -4.3053 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 47.8889 | -4.467 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 35.8401 | -4.50497 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 35.8637 | -4.50903 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 35.8926 | -4.51413 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 44.4708 | -4.61241 |
| 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_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_w_0_75[cache_size=0.2,treshold=0.5] | 49.879 | -6.4176 |
| LR_decay_rtime[cache_size=0.1,treshold=0.5] | 62.2175 | -6.84646 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 53.6668 | -6.90145 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 53.7165 | -6.90761 |
| 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_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_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_decay_vtime[cache_size=0.1,treshold=0.5] | 95.9029 | -16.0751 |
| LR_decay_vtime[cache_size=0.2,treshold=0.5] | 97.8322 | -20.1983 |
| LR_decay_vtime[cache_size=0.4,treshold=0.5] | 99.0562 | -26.0089 |
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_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0.00106129 | -0.000148054 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 34.1891 | -0.835497 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 34.2091 | -0.837077 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 34.2134 | -0.837669 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 23.0355 | -1.69542 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 45.1313 | -1.76111 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 45.139 | -1.7621 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 45.1456 | -1.76279 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 24.7302 | -1.83272 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 25.6791 | -1.91144 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 21.053 | -2.11374 |
| 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=0.5] | 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_vtime[cache_size=0.01,treshold=0.5] | 78.9192 | -7.48631 |
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 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0.0264548 | -0.00271196 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0.193878 | -0.0186096 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0.904352 | -0.0837891 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 28.538 | -1.38055 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 28.526 | -1.38121 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 28.5112 | -1.38401 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 19.9158 | -2.25491 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 51.8748 | -3.56093 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 51.9306 | -3.56832 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 52.041 | -3.58843 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 34.4015 | -3.81847 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 34.4566 | -3.82595 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 34.5007 | -3.83175 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 44.4708 | -4.61241 |
| 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_decay_vtime[cache_size=0.1,treshold=0.5] | 95.9029 | -16.0751 |
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_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 0 | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0.000711758 | -0.000130898 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0.00359077 | -0.000654563 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 4.42373 | -0.468406 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 4.54327 | -0.482151 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 4.61148 | -0.489482 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 47.8889 | -4.467 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 35.8401 | -4.50497 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 35.8637 | -4.50903 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 35.8926 | -4.51413 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 49.879 | -6.4176 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 53.6668 | -6.90145 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 53.7165 | -6.90761 |
| 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_decay_vtime[cache_size=0.2,treshold=0.5] | 97.8322 | -20.1983 |
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_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.88232 | -0.418322 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.88473 | -0.418634 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.90405 | -0.420886 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.9258 | -0.423829 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.9258 | -0.423829 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.94366 | -0.426058 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7589 | -4.3001 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7763 | -4.30289 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7772 | -4.30311 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7837 | -4.30436 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7894 | -4.30519 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7899 | -4.3053 |
| 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_decay_vtime[cache_size=0.4,treshold=0.5] | 99.0562 | -26.0089 |
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_w_0_5[cache_size=0.2,treshold=0.5] | 0.000679926 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0.0011401 | -0.000246702 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0.00361985 | -0.000654515 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0.0265709 | -0.00280568 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0.193242 | -0.0187045 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0.900935 | -0.0837164 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.88183 | -0.421301 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.87906 | -0.421301 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.90182 | -0.422638 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.92493 | -0.425535 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.92493 | -0.425535 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.9441 | -0.427763 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 4.42291 | -0.467822 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 4.54304 | -0.481562 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 4.61077 | -0.488922 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 34.1862 | -0.837031 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 34.2059 | -0.838541 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 34.209 | -0.838788 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 28.5346 | -1.37908 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 28.5238 | -1.38002 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 28.5068 | -1.38282 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 23.0339 | -1.69454 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 45.1346 | -1.75994 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 45.1424 | -1.76092 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 45.1473 | -1.76166 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 24.7213 | -1.83169 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 25.6759 | -1.90972 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 21.0563 | -2.11292 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 19.9197 | -2.25358 |
| 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_w_0_75[cache_size=0.1,treshold=0.5] | 51.8849 | -3.5601 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 51.948 | -3.56711 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 52.054 | -3.5872 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 34.397 | -3.81635 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 34.4537 | -3.82383 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 34.4972 | -3.82944 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7553 | -4.31555 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7715 | -4.31778 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7728 | -4.31789 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7803 | -4.31946 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7867 | -4.31946 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7871 | -4.31957 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 47.8873 | -4.46885 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 35.8388 | -4.50437 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 35.8626 | -4.5083 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 35.8913 | -4.51419 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 44.4691 | -4.61329 |
| 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_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_w_0_75[cache_size=0.2,treshold=0.5] | 49.8794 | -6.41948 |
| LR_decay_rtime[cache_size=0.1,treshold=0.5] | 62.2269 | -6.84264 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 53.6674 | -6.9012 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 53.7159 | -6.90644 |
| 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_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_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_decay_vtime[cache_size=0.1,treshold=0.5] | 95.9036 | -16.0733 |
| LR_decay_vtime[cache_size=0.2,treshold=0.5] | 97.8322 | -20.197 |
| LR_decay_vtime[cache_size=0.4,treshold=0.5] | 99.0554 | -26.0035 |
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_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0 | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 0.0011401 | -0.000246702 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 34.1862 | -0.837031 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 34.2059 | -0.838541 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 34.209 | -0.838788 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 23.0339 | -1.69454 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 45.1346 | -1.75994 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 45.1424 | -1.76092 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 45.1473 | -1.76166 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 24.7213 | -1.83169 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 25.6759 | -1.90972 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 21.0563 | -2.11292 |
| 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=0.5] | 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_vtime[cache_size=0.01,treshold=0.5] | 78.9232 | -7.48519 |
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 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 0 | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0.0265709 | -0.00280568 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0.193242 | -0.0187045 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 0.900935 | -0.0837164 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 28.5346 | -1.37908 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 28.5238 | -1.38002 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 28.5068 | -1.38282 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 19.9197 | -2.25358 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 51.8849 | -3.5601 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 51.948 | -3.56711 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 52.054 | -3.5872 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 34.397 | -3.81635 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 34.4537 | -3.82383 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 34.4972 | -3.82944 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 44.4691 | -4.61329 |
| 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_decay_vtime[cache_size=0.1,treshold=0.5] | 95.9036 | -16.0733 |
Cache Size 0.2
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.2233 | 3.56334 |
| Zipf Optimal Distribution | 15.0351 | 1.67163 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0.000679926 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 0 | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 0.00361985 | -0.000654515 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 4.42291 | -0.467822 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 4.54304 | -0.481562 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 4.61077 | -0.488922 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 47.8873 | -4.46885 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 35.8388 | -4.50437 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 35.8626 | -4.5083 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 35.8913 | -4.51419 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 49.8794 | -6.41948 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 53.6674 | -6.9012 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 53.7159 | -6.90644 |
| 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_decay_vtime[cache_size=0.2,treshold=0.5] | 97.8322 | -20.197 |
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_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.87906 | -0.421301 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.88183 | -0.421301 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.90182 | -0.422638 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.92493 | -0.425535 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.92493 | -0.425535 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 3.9441 | -0.427763 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7553 | -4.31555 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7715 | -4.31778 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7728 | -4.31789 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7803 | -4.31946 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7867 | -4.31946 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 32.7871 | -4.31957 |
| 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_decay_vtime[cache_size=0.4,treshold=0.5] | 99.0554 | -26.0035 |
Model Classification Report
LR_7_decay_rtime
0.01
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: 0.7471877637814079
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
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 0.00 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
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
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 0.00 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
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
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
0.1
Treshold: 0.5
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
0.2
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 0.90 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
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
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 0.81 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
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
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
0.4
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: 0.6950249144945815
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
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 0.52 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
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
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: 0.7080108788438251
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
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
LR_7_decay_rtime_w_0_5
0.01
Treshold: 0.5
All
precision recall f1-score support
0 0.75 0.87 0.81 28055468
1 0.79 0.64 0.70 21729815
accuracy 0.77 49785283
macro avg 0.77 0.75 0.75 49785283
weighted avg 0.77 0.77 0.76 49785283
Accuracy: 0.7658346343034748
precision recall f1-score support
0 0.75 0.87 0.81 28055468
1 0.79 0.64 0.70 21729815
accuracy 0.77 49785283
macro avg 0.77 0.75 0.75 49785283
weighted avg 0.77 0.77 0.76 49785283
Accuracy: 0.7658346142172175
0-1%
precision recall f1-score support
0 0.75 0.88 0.81 27764588
1 0.73 0.54 0.62 17098553
accuracy 0.75 44863141
macro avg 0.74 0.71 0.71 44863141
weighted avg 0.74 0.75 0.74 44863141
Accuracy: 0.7467056753783691
precision recall f1-score support
0 0.75 0.88 0.81 27764588
1 0.73 0.54 0.62 17098553
accuracy 0.75 44863141
macro avg 0.74 0.71 0.71 44863141
weighted avg 0.74 0.75 0.74 44863141
Accuracy: 0.7467056976683821
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: 0.9346199345020193
precision recall f1-score support
0 0.75 0.87 0.81 28052152
1 0.78 0.63 0.70 21263340
accuracy 0.76 49315492
macro avg 0.77 0.75 0.75 49315492
weighted avg 0.77 0.76 0.76 49315492
Accuracy: 0.7636711603728905
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
precision recall f1-score support
0 0.75 0.87 0.81 28054607
1 0.78 0.63 0.70 21520956
accuracy 0.76 49575563
macro avg 0.77 0.75 0.75 49575563
weighted avg 0.77 0.76 0.76 49575563
Accuracy: 0.7648614096424886
20-40%
precision recall f1-score support
0 0.75 0.87 0.81 28055266
1 0.79 0.63 0.70 21651524
accuracy 0.77 49706790
macro avg 0.77 0.75 0.75 49706790
weighted avg 0.77 0.77 0.76 49706790
Accuracy: 0.7654689228574205
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
precision recall f1-score support
0 0.75 0.87 0.81 28055435
1 0.79 0.64 0.70 21716758
accuracy 0.77 49772193
macro avg 0.77 0.75 0.75 49772193
weighted avg 0.77 0.77 0.76 49772193
Accuracy: 0.765773712241291
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
0.1
Treshold: 0.5
All
precision recall f1-score support
0 0.68 0.85 0.76 26119367
1 0.74 0.53 0.61 21615229
accuracy 0.70 47734596
macro avg 0.71 0.69 0.69 47734596
weighted avg 0.71 0.70 0.69 47734596
Accuracy: 0.7008368312156659
precision recall f1-score support
0 0.68 0.85 0.76 26119367
1 0.74 0.53 0.61 21615229
accuracy 0.70 47734596
macro avg 0.71 0.69 0.69 47734596
weighted avg 0.71 0.70 0.69 47734596
Accuracy: 0.7008368312156659
0-1%
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.25 0.05 0.08 508421
accuracy 0.96 12561431
macro avg 0.60 0.52 0.53 12561431
weighted avg 0.93 0.96 0.94 12561431
Accuracy: 0.9552677557198698
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.25 0.05 0.08 508421
accuracy 0.96 12561431
macro avg 0.60 0.52 0.53 12561431
weighted avg 0.93 0.96 0.94 12561431
Accuracy: 0.9552677557198698
1-10%
precision recall f1-score support
0 0.73 0.86 0.79 25421477
1 0.65 0.45 0.53 14975241
accuracy 0.71 40396718
macro avg 0.69 0.65 0.66 40396718
weighted avg 0.70 0.71 0.69 40396718
Accuracy: 0.7063740920735194
precision recall f1-score support
0 0.56 0.74 0.64 13368467
1 0.66 0.46 0.54 14466820
accuracy 0.59 27835287
macro avg 0.61 0.60 0.59 27835287
weighted avg 0.61 0.59 0.59 27835287
Accuracy: 0.5940540508887154
10-20%
precision recall f1-score support
0 0.70 0.85 0.77 25924842
1 0.70 0.49 0.58 18362515
accuracy 0.70 44287357
macro avg 0.70 0.67 0.67 44287357
weighted avg 0.70 0.70 0.69 44287357
Accuracy: 0.7007614611095442
precision recall f1-score support
0 0.15 0.38 0.21 503365
1 0.88 0.68 0.77 3387274
accuracy 0.64 3890639
macro avg 0.51 0.53 0.49 3890639
weighted avg 0.79 0.64 0.70 3890639
Accuracy: 0.6424852061576517
20-40%
precision recall f1-score support
0 0.69 0.85 0.76 26072330
1 0.72 0.51 0.60 20332940
accuracy 0.70 46405270
macro avg 0.71 0.68 0.68 46405270
weighted avg 0.70 0.70 0.69 46405270
Accuracy: 0.7002901825590068
precision recall f1-score support
0 0.08 0.34 0.13 147488
1 0.94 0.72 0.81 1970425
accuracy 0.69 2117913
macro avg 0.51 0.53 0.47 2117913
weighted avg 0.88 0.69 0.76 2117913
Accuracy: 0.6904353483830544
40-80%
precision recall f1-score support
0 0.68 0.85 0.76 26113946
1 0.74 0.52 0.61 21397219
accuracy 0.70 47511165
macro avg 0.71 0.68 0.68 47511165
weighted avg 0.71 0.70 0.69 47511165
Accuracy: 0.7007034662273594
precision recall f1-score support
0 0.04 0.32 0.08 41616
1 0.97 0.73 0.83 1064279
accuracy 0.72 1105895
macro avg 0.50 0.53 0.46 1105895
weighted avg 0.93 0.72 0.81 1105895
Accuracy: 0.7180455649044439
80-90%
precision recall f1-score support
0 0.03 0.32 0.05 3093
1 0.98 0.74 0.84 120943
accuracy 0.73 124036
macro avg 0.50 0.53 0.45 124036
weighted avg 0.95 0.73 0.82 124036
Accuracy: 0.7281192556999581
90-100%
precision recall f1-score support
0 0.03 0.30 0.05 2328
1 0.98 0.74 0.84 97067
accuracy 0.73 99395
macro avg 0.50 0.52 0.45 99395
weighted avg 0.96 0.73 0.82 99395
Accuracy: 0.7305397655817697
0.2
Treshold: 0.5
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.07 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.31 0.50 0.35 45456361
weighted avg 0.33 0.55 0.39 45456361
Accuracy: 0.547626502702229
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.07 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.31 0.50 0.35 45456361
weighted avg 0.33 0.55 0.39 45456361
Accuracy: 0.547626502702229
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992059393196583
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992059393196583
1-10%
precision recall f1-score support
0 0.73 1.00 0.84 21822692
1 0.09 0.00 0.00 8020644
accuracy 0.73 29843336
macro avg 0.41 0.50 0.42 29843336
weighted avg 0.56 0.73 0.62 29843336
Accuracy: 0.7312390947178291
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.09 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.38 0.50 0.40 24965875
weighted avg 0.49 0.68 0.55 24965875
Accuracy: 0.6788877217401753
10-20%
precision recall f1-score support
0 0.64 1.00 0.78 23880186
1 0.09 0.00 0.00 13481800
accuracy 0.64 37361986
macro avg 0.36 0.50 0.39 37361986
weighted avg 0.44 0.64 0.50 37361986
Accuracy: 0.6391545138954873
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.09 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.18 0.50 0.21 7518650
weighted avg 0.14 0.27 0.12 7518650
Accuracy: 0.2736485938300094
20-40%
precision recall f1-score support
0 0.58 1.00 0.74 24625160
1 0.08 0.00 0.00 17542339
accuracy 0.58 42167499
macro avg 0.33 0.50 0.37 42167499
weighted avg 0.37 0.58 0.43 42167499
Accuracy: 0.5839812078966314
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.03 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.09 0.50 0.13 4805513
weighted avg 0.05 0.16 0.04 4805513
Accuracy: 0.15501882941529863
40-80%
precision recall f1-score support
0 0.55 1.00 0.71 24861069
1 0.07 0.00 0.00 20026114
accuracy 0.55 44887183
macro avg 0.31 0.50 0.36 44887183
weighted avg 0.34 0.55 0.39 44887183
Accuracy: 0.5538534017605872
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08673507657507269
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.058899822101861746
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05363847314530649
0.4
Treshold: 0.5
All
precision recall f1-score support
0 0.66 0.93 0.77 22531902
1 0.79 0.36 0.49 16938696
accuracy 0.68 39470598
macro avg 0.72 0.64 0.63 39470598
weighted avg 0.71 0.68 0.65 39470598
Accuracy: 0.683587616280858
precision recall f1-score support
0 0.66 0.93 0.77 22531902
1 0.79 0.36 0.49 16938696
accuracy 0.68 39470598
macro avg 0.72 0.64 0.63 39470598
weighted avg 0.71 0.68 0.65 39470598
Accuracy: 0.683587616280858
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
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 0.94 0.97 0.95 12989887
1 0.55 0.32 0.40 1271288
accuracy 0.92 14261175
macro avg 0.74 0.65 0.68 14261175
weighted avg 0.90 0.92 0.91 14261175
Accuracy: 0.9159722813863515
precision recall f1-score support
0 0.93 0.97 0.95 11439888
1 0.55 0.32 0.40 1271288
accuracy 0.91 12711176
macro avg 0.74 0.64 0.68 12711176
weighted avg 0.89 0.91 0.89 12711176
Accuracy: 0.9057259532870916
10-20%
precision recall f1-score support
0 0.84 0.95 0.89 18034328
1 0.66 0.34 0.45 5083660
accuracy 0.82 23117988
macro avg 0.75 0.65 0.67 23117988
weighted avg 0.80 0.82 0.79 23117988
Accuracy: 0.8174503334805779
precision recall f1-score support
0 0.65 0.89 0.75 5044441
1 0.71 0.35 0.47 3812372
accuracy 0.66 8856813
macro avg 0.68 0.62 0.61 8856813
weighted avg 0.67 0.66 0.63 8856813
Accuracy: 0.6588110192684434
20-40%
precision recall f1-score support
0 0.42 0.84 0.56 2995598
1 0.81 0.37 0.51 5583215
accuracy 0.53 8578813
macro avg 0.61 0.60 0.53 8578813
weighted avg 0.67 0.53 0.52 8578813
Accuracy: 0.5331026565097059
40-80%
precision recall f1-score support
0 0.25 0.80 0.38 1295061
1 0.88 0.37 0.52 5001564
accuracy 0.46 6296625
macro avg 0.56 0.59 0.45 6296625
weighted avg 0.75 0.46 0.49 6296625
Accuracy: 0.4581060488753896
precision recall f1-score support
0 0.67 0.93 0.78 22324987
1 0.78 0.36 0.49 15668439
accuracy 0.69 37993426
macro avg 0.73 0.64 0.64 37993426
weighted avg 0.72 0.69 0.66 37993426
Accuracy: 0.6936915086309932
80-90%
precision recall f1-score support
0 0.18 0.79 0.29 117971
1 0.91 0.36 0.52 692761
accuracy 0.43 810732
macro avg 0.54 0.58 0.40 810732
weighted avg 0.80 0.43 0.49 810732
Accuracy: 0.4262259291603144
90-100%
precision recall f1-score support
0 0.16 0.79 0.27 88944
1 0.92 0.36 0.52 577496
accuracy 0.42 666440
macro avg 0.54 0.58 0.39 666440
weighted avg 0.82 0.42 0.49 666440
Accuracy: 0.42065302202748933
LR_7_decay_rtime_w_0_75
0.01
Treshold: 0.5
All
precision recall f1-score support
0 0.81 0.79 0.80 28055468
1 0.74 0.76 0.75 21729815
accuracy 0.78 49785283
macro avg 0.77 0.78 0.77 49785283
weighted avg 0.78 0.78 0.78 49785283
Accuracy: 0.7775125030423148
precision recall f1-score support
0 0.81 0.79 0.80 28055468
1 0.74 0.76 0.75 21729815
accuracy 0.78 49785283
macro avg 0.77 0.78 0.77 49785283
weighted avg 0.78 0.78 0.78 49785283
Accuracy: 0.777512523128572
0-1%
precision recall f1-score support
0 0.81 0.80 0.80 27764588
1 0.68 0.70 0.69 17098553
accuracy 0.76 44863141
macro avg 0.75 0.75 0.75 44863141
weighted avg 0.76 0.76 0.76 44863141
Accuracy: 0.7595866504309183
precision recall f1-score support
0 0.81 0.80 0.80 27764588
1 0.68 0.70 0.69 17098553
accuracy 0.76 44863141
macro avg 0.75 0.75 0.75 44863141
weighted avg 0.76 0.76 0.76 44863141
Accuracy: 0.7595866281409053
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: 0.9354076082501133
precision recall f1-score support
0 0.81 0.79 0.80 28052152
1 0.73 0.76 0.74 21263340
accuracy 0.78 49315492
macro avg 0.77 0.77 0.77 49315492
weighted avg 0.78 0.78 0.78 49315492
Accuracy: 0.7754602752417029
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
precision recall f1-score support
0 0.81 0.79 0.80 28054607
1 0.73 0.76 0.75 21520956
accuracy 0.78 49575563
macro avg 0.77 0.77 0.77 49575563
weighted avg 0.78 0.78 0.78 49575563
Accuracy: 0.7765886793862533
20-40%
precision recall f1-score support
0 0.81 0.79 0.80 28055266
1 0.74 0.76 0.75 21651524
accuracy 0.78 49706790
macro avg 0.77 0.78 0.77 49706790
weighted avg 0.78 0.78 0.78 49706790
Accuracy: 0.7771652323555795
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
precision recall f1-score support
0 0.81 0.79 0.80 28055435
1 0.74 0.76 0.75 21716758
accuracy 0.78 49772193
macro avg 0.77 0.78 0.77 49772193
weighted avg 0.78 0.78 0.78 49772193
Accuracy: 0.7774546522392534
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
0.1
Treshold: 0.5
All
precision recall f1-score support
0 0.79 0.73 0.76 26119367
1 0.70 0.76 0.73 21615229
accuracy 0.75 47734596
macro avg 0.75 0.75 0.75 47734596
weighted avg 0.75 0.75 0.75 47734596
Accuracy: 0.746851926849868
precision recall f1-score support
0 0.79 0.73 0.76 26119367
1 0.70 0.76 0.73 21615229
accuracy 0.75 47734596
macro avg 0.75 0.75 0.75 47734596
weighted avg 0.75 0.75 0.75 47734596
Accuracy: 0.7468519059007015
0-1%
precision recall f1-score support
0 0.96 0.98 0.97 12053010
1 0.22 0.13 0.16 508421
accuracy 0.95 12561431
macro avg 0.59 0.55 0.57 12561431
weighted avg 0.93 0.95 0.94 12561431
Accuracy: 0.9464397806269047
precision recall f1-score support
0 0.96 0.98 0.97 12053010
1 0.22 0.13 0.16 508421
accuracy 0.95 12561431
macro avg 0.59 0.55 0.57 12561431
weighted avg 0.93 0.95 0.94 12561431
Accuracy: 0.9464397806269047
1-10%
precision recall f1-score support
0 0.80 0.75 0.77 25421477
1 0.62 0.68 0.65 14975241
accuracy 0.72 40396718
macro avg 0.71 0.72 0.71 40396718
weighted avg 0.73 0.72 0.73 40396718
Accuracy: 0.7245034113909947
precision recall f1-score support
0 0.63 0.54 0.58 13368467
1 0.62 0.70 0.66 14466820
accuracy 0.62 27835287
macro avg 0.62 0.62 0.62 27835287
weighted avg 0.62 0.62 0.62 27835287
Accuracy: 0.6243486190747737
10-20%
precision recall f1-score support
0 0.16 0.08 0.11 503365
1 0.87 0.93 0.90 3387274
accuracy 0.82 3890639
macro avg 0.52 0.51 0.51 3890639
weighted avg 0.78 0.82 0.80 3890639
Accuracy: 0.8239335492190357
20-40%
precision recall f1-score support
0 0.79 0.73 0.76 26072330
1 0.69 0.75 0.72 20332940
accuracy 0.74 46405270
macro avg 0.74 0.74 0.74 46405270
weighted avg 0.75 0.74 0.74 46405270
Accuracy: 0.7409957963826092
precision recall f1-score support
0 0.10 0.05 0.06 147488
1 0.93 0.97 0.95 1970425
accuracy 0.90 2117913
macro avg 0.51 0.51 0.51 2117913
weighted avg 0.87 0.90 0.89 2117913
Accuracy: 0.9032108495485887
40-80%
precision recall f1-score support
0 0.79 0.73 0.76 26113946
1 0.70 0.76 0.73 21397219
accuracy 0.75 47511165
macro avg 0.74 0.75 0.74 47511165
weighted avg 0.75 0.75 0.75 47511165
Accuracy: 0.745816988491021
precision recall f1-score support
0 0.07 0.03 0.05 41616
1 0.96 0.98 0.97 1064279
accuracy 0.95 1105895
macro avg 0.52 0.51 0.51 1105895
weighted avg 0.93 0.95 0.94 1105895
Accuracy: 0.9481225613643248
80-90%
precision recall f1-score support
0 0.08 0.03 0.05 3093
1 0.98 0.99 0.98 120943
accuracy 0.97 124036
macro avg 0.53 0.51 0.52 124036
weighted avg 0.95 0.97 0.96 124036
Accuracy: 0.9656631945564191
90-100%
precision recall f1-score support
0 0.08 0.03 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: 0.9684893606318226
0.2
Treshold: 0.5
All
precision recall f1-score support
0 0.75 0.67 0.71 24893266
1 0.65 0.73 0.69 20563095
accuracy 0.70 45456361
macro avg 0.70 0.70 0.70 45456361
weighted avg 0.71 0.70 0.70 45456361
Accuracy: 0.7002499166178304
precision recall f1-score support
0 0.75 0.67 0.71 24893266
1 0.65 0.73 0.69 20563095
accuracy 0.70 45456361
macro avg 0.70 0.70 0.70 45456361
weighted avg 0.71 0.70 0.70 45456361
Accuracy: 0.7002499386169517
0-1%
precision recall f1-score support
0 1.00 0.99 0.99 4873589
1 0.04 0.52 0.07 3872
accuracy 0.99 4877461
macro avg 0.52 0.75 0.53 4877461
weighted avg 1.00 0.99 0.99 4877461
Accuracy: 0.9884968839320294
precision recall f1-score support
0 1.00 0.99 0.99 4873589
1 0.04 0.52 0.07 3872
accuracy 0.99 4877461
macro avg 0.52 0.75 0.53 4877461
weighted avg 1.00 0.99 0.99 4877461
Accuracy: 0.9884968839320294
1-10%
precision recall f1-score support
0 0.87 0.71 0.78 21822692
1 0.47 0.71 0.57 8020644
accuracy 0.71 29843336
macro avg 0.67 0.71 0.68 29843336
weighted avg 0.76 0.71 0.73 29843336
Accuracy: 0.7109330203567055
precision recall f1-score support
0 0.82 0.63 0.71 16949103
1 0.48 0.71 0.57 8016772
accuracy 0.66 24965875
macro avg 0.65 0.67 0.64 24965875
weighted avg 0.71 0.66 0.67 24965875
Accuracy: 0.6567067647338617
10-20%
precision recall f1-score support
0 0.81 0.68 0.74 23880186
1 0.56 0.72 0.63 13481800
accuracy 0.70 37361986
macro avg 0.69 0.70 0.69 37361986
weighted avg 0.72 0.70 0.70 37361986
Accuracy: 0.6992318341963941
precision recall f1-score support
0 0.37 0.39 0.38 2057494
1 0.77 0.75 0.76 5461156
accuracy 0.65 7518650
macro avg 0.57 0.57 0.57 7518650
weighted avg 0.66 0.65 0.66 7518650
Accuracy: 0.6527870029859084
20-40%
precision recall f1-score support
0 0.78 0.68 0.72 24625160
1 0.62 0.73 0.67 17542339
accuracy 0.70 42167499
macro avg 0.70 0.70 0.70 42167499
weighted avg 0.71 0.70 0.70 42167499
Accuracy: 0.6987041370416586
precision recall f1-score support
0 0.22 0.37 0.27 744974
1 0.87 0.75 0.81 4060539
accuracy 0.69 4805513
macro avg 0.54 0.56 0.54 4805513
weighted avg 0.77 0.69 0.72 4805513
Accuracy: 0.6946013880307889
40-80%
precision recall f1-score support
0 0.76 0.67 0.71 24861069
1 0.64 0.73 0.69 20026114
accuracy 0.70 44887183
macro avg 0.70 0.70 0.70 44887183
weighted avg 0.71 0.70 0.70 44887183
Accuracy: 0.6998996573253439
precision recall f1-score support
0 0.12 0.37 0.18 235909
1 0.93 0.75 0.83 2483775
accuracy 0.72 2719684
macro avg 0.52 0.56 0.51 2719684
weighted avg 0.86 0.72 0.77 2719684
Accuracy: 0.718435671202978
80-90%
precision recall f1-score support
0 0.08 0.36 0.14 18577
1 0.95 0.75 0.84 296772
accuracy 0.73 315349
macro avg 0.52 0.56 0.49 315349
weighted avg 0.90 0.73 0.80 315349
Accuracy: 0.726541070369654
90-100%
precision recall f1-score support
0 0.08 0.37 0.13 13620
1 0.95 0.75 0.84 240209
accuracy 0.73 253829
macro avg 0.52 0.56 0.48 253829
weighted avg 0.91 0.73 0.80 253829
Accuracy: 0.7295265710379822
0.4
Treshold: 0.5
All
precision recall f1-score support
0 0.72 0.82 0.77 22531902
1 0.71 0.58 0.64 16938696
accuracy 0.72 39470598
macro avg 0.71 0.70 0.70 39470598
weighted avg 0.72 0.72 0.71 39470598
Accuracy: 0.7167014292512113
precision recall f1-score support
0 0.72 0.82 0.77 22531902
1 0.71 0.58 0.64 16938696
accuracy 0.72 39470598
macro avg 0.71 0.70 0.70 39470598
weighted avg 0.72 0.72 0.71 39470598
Accuracy: 0.7167014292512113
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: 0.9999961290297606
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: 0.9999961290297606
1-10%
precision recall f1-score support
0 0.95 0.91 0.93 12989887
1 0.37 0.54 0.44 1271288
accuracy 0.88 14261175
macro avg 0.66 0.72 0.69 14261175
weighted avg 0.90 0.88 0.89 14261175
Accuracy: 0.8781145312360307
precision recall f1-score support
0 0.95 0.90 0.92 11439888
1 0.37 0.54 0.44 1271288
accuracy 0.86 12711176
macro avg 0.66 0.72 0.68 12711176
weighted avg 0.89 0.86 0.87 12711176
Accuracy: 0.8632523064742397
10-20%
precision recall f1-score support
0 0.87 0.86 0.87 18034328
1 0.53 0.56 0.55 5083660
accuracy 0.80 23117988
macro avg 0.70 0.71 0.71 23117988
weighted avg 0.80 0.80 0.80 23117988
Accuracy: 0.7950834216195631
precision recall f1-score support
0 0.69 0.73 0.71 5044441
1 0.61 0.57 0.59 3812372
accuracy 0.66 8856813
macro avg 0.65 0.65 0.65 8856813
weighted avg 0.66 0.66 0.66 8856813
Accuracy: 0.6613873410221035
20-40%
precision recall f1-score support
0 0.47 0.67 0.55 2995598
1 0.77 0.59 0.67 5583215
accuracy 0.62 8578813
macro avg 0.62 0.63 0.61 8578813
weighted avg 0.66 0.62 0.62 8578813
Accuracy: 0.6159584082320013
precision recall f1-score support
0 0.79 0.83 0.81 21029926
1 0.64 0.58 0.60 10666875
accuracy 0.75 31696801
macro avg 0.72 0.70 0.71 31696801
weighted avg 0.74 0.75 0.74 31696801
Accuracy: 0.7466028196347007
40-80%
precision recall f1-score support
0 0.29 0.64 0.39 1295061
1 0.86 0.59 0.70 5001564
accuracy 0.60 6296625
macro avg 0.57 0.61 0.55 6296625
weighted avg 0.74 0.60 0.64 6296625
Accuracy: 0.5965481507950687
80-90%
precision recall f1-score support
0 0.20 0.63 0.31 117971
1 0.90 0.58 0.71 692761
accuracy 0.59 810732
macro avg 0.55 0.61 0.51 810732
weighted avg 0.80 0.59 0.65 810732
Accuracy: 0.5877663642239359
90-100%
precision recall f1-score support
0 0.19 0.63 0.29 88944
1 0.91 0.58 0.71 577496
accuracy 0.59 666440
macro avg 0.55 0.61 0.50 666440
weighted avg 0.81 0.59 0.65 666440
Accuracy: 0.5866274533341336
LR_7_decay_vtime
0.01
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: 0.615350784288599
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
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 0.00 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
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
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
0.1
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
0.2
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 0.88 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
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
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 0.76 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
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
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
0.4
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 0.52 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
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
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
LR_7_decay_vtime_w_0_5
0.01
Treshold: 0.5
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: 0.5635253293628962
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: 0.5635253293628962
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: 0.6188683935438225
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: 0.6188683935438225
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.69 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.38 0.50 0.06 4452351
weighted avg 0.65 0.06 0.01 4452351
Accuracy: 0.06458834894194102
precision recall f1-score support
0 0.57 1.00 0.73 28052152
1 0.17 0.00 0.00 21263340
accuracy 0.57 49315492
macro avg 0.37 0.50 0.36 49315492
weighted avg 0.40 0.57 0.41 49315492
Accuracy: 0.568826323379274
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 1.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.50 0.50 0.01 260071
weighted avg 0.99 0.01 0.00 260071
Accuracy: 0.009451265231417575
precision recall f1-score support
0 0.57 1.00 0.72 28054607
1 0.18 0.00 0.00 21520956
accuracy 0.57 49575563
macro avg 0.37 0.50 0.36 49575563
weighted avg 0.40 0.57 0.41 49575563
Accuracy: 0.5658918689435761
20-40%
precision recall f1-score support
0 0.56 1.00 0.72 28055266
1 0.18 0.00 0.00 21651524
accuracy 0.56 49706790
macro avg 0.37 0.50 0.36 49706790
weighted avg 0.40 0.56 0.41 49706790
Accuracy: 0.5644111800420023
precision recall f1-score support
0 0.01 1.00 0.01 659
1 1.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.50 0.50 0.01 131227
weighted avg 1.00 0.01 0.00 131227
Accuracy: 0.005029452780296738
40-80%
precision recall f1-score support
0 0.00 0.99 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.49 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002553399691145666
precision recall f1-score support
0 0.56 1.00 0.72 28055435
1 0.18 0.00 0.00 21716758
accuracy 0.56 49772193
macro avg 0.37 0.50 0.36 49772193
weighted avg 0.40 0.56 0.41 49772193
Accuracy: 0.5636728725214097
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: 0.5
All
precision recall f1-score support
0 0.58 0.95 0.72 26119367
1 0.72 0.17 0.28 21615229
accuracy 0.59 47734596
macro avg 0.65 0.56 0.50 47734596
weighted avg 0.64 0.59 0.52 47734596
Accuracy: 0.5945489933548406
precision recall f1-score support
0 0.58 0.95 0.72 26119367
1 0.72 0.17 0.28 21615229
accuracy 0.59 47734596
macro avg 0.65 0.56 0.50 47734596
weighted avg 0.64 0.59 0.52 47734596
Accuracy: 0.5945489933548406
0-1%
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.40 0.14 0.21 508421
accuracy 0.96 12561431
macro avg 0.68 0.57 0.59 12561431
weighted avg 0.94 0.96 0.95 12561431
Accuracy: 0.9567321589395348
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.40 0.14 0.21 508421
accuracy 0.96 12561431
macro avg 0.68 0.57 0.59 12561431
weighted avg 0.94 0.96 0.95 12561431
Accuracy: 0.9567321589395348
1-10%
precision recall f1-score support
0 0.66 0.95 0.78 25421477
1 0.65 0.17 0.26 14975241
accuracy 0.66 40396718
macro avg 0.66 0.56 0.52 40396718
weighted avg 0.66 0.66 0.59 40396718
Accuracy: 0.6581969604560449
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: 0.5234748253179499
10-20%
precision recall f1-score support
0 0.62 0.95 0.75 25924842
1 0.69 0.17 0.27 18362515
accuracy 0.62 44287357
macro avg 0.65 0.56 0.51 44287357
weighted avg 0.65 0.62 0.55 44287357
Accuracy: 0.6237390278223196
precision recall f1-score support
0 0.13 0.84 0.23 503365
1 0.88 0.18 0.30 3387274
accuracy 0.27 3890639
macro avg 0.51 0.51 0.26 3890639
weighted avg 0.79 0.27 0.29 3890639
Accuracy: 0.2659604244958219
20-40%
precision recall f1-score support
0 0.59 0.95 0.73 26072330
1 0.71 0.17 0.27 20332940
accuracy 0.61 46405270
macro avg 0.65 0.56 0.50 46405270
weighted avg 0.64 0.61 0.53 46405270
Accuracy: 0.6056843543847499
precision recall f1-score support
0 0.07 0.84 0.13 147488
1 0.94 0.18 0.31 1970425
accuracy 0.23 2117913
macro avg 0.50 0.51 0.22 2117913
weighted avg 0.88 0.23 0.29 2117913
Accuracy: 0.22814582090954633
40-80%
precision recall f1-score support
0 0.58 0.95 0.72 26113946
1 0.72 0.17 0.28 21397219
accuracy 0.60 47511165
macro avg 0.65 0.56 0.50 47511165
weighted avg 0.64 0.60 0.52 47511165
Accuracy: 0.596408991444432
precision recall f1-score support
0 0.04 0.84 0.07 41616
1 0.97 0.18 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: 0.2071986942702517
80-90%
precision recall f1-score support
0 0.03 0.84 0.05 3093
1 0.98 0.18 0.31 120943
accuracy 0.20 124036
macro avg 0.50 0.51 0.18 124036
weighted avg 0.95 0.20 0.30 124036
Accuracy: 0.20071592118417234
90-100%
precision recall f1-score support
0 0.02 0.84 0.05 2328
1 0.98 0.18 0.31 97067
accuracy 0.20 99395
macro avg 0.50 0.51 0.18 99395
weighted avg 0.96 0.20 0.30 99395
Accuracy: 0.19693143518285627
0.2
Treshold: 0.5
All
precision recall f1-score support
0 0.60 0.93 0.73 24893266
1 0.74 0.26 0.39 20563095
accuracy 0.63 45456361
macro avg 0.67 0.59 0.56 45456361
weighted avg 0.67 0.63 0.58 45456361
Accuracy: 0.6251611518132743
precision recall f1-score support
0 0.60 0.93 0.73 24893266
1 0.74 0.26 0.39 20563095
accuracy 0.63 45456361
macro avg 0.67 0.59 0.56 45456361
weighted avg 0.67 0.63 0.58 45456361
Accuracy: 0.6251611518132743
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.24 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: 0.998844070716301
1-10%
precision recall f1-score support
0 0.77 0.94 0.85 21822692
1 0.62 0.25 0.36 8020644
accuracy 0.76 29843336
macro avg 0.69 0.60 0.60 29843336
weighted avg 0.73 0.76 0.72 29843336
Accuracy: 0.7564489439116324
precision recall f1-score support
0 0.72 0.93 0.81 16949103
1 0.62 0.25 0.36 8016772
accuracy 0.71 24965875
macro avg 0.67 0.59 0.58 24965875
weighted avg 0.69 0.71 0.67 24965875
Accuracy: 0.7090933924807362
10-20%
precision recall f1-score support
0 0.69 0.93 0.79 23880186
1 0.68 0.26 0.37 13481800
accuracy 0.69 37361986
macro avg 0.68 0.59 0.58 37361986
weighted avg 0.69 0.69 0.64 37361986
Accuracy: 0.6879937003348805
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 0.42 7518650
weighted avg 0.65 0.42 0.41 7518650
Accuracy: 0.41627832124118025
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: 0.3509681484578233
40-80%
precision recall f1-score support
0 0.61 0.93 0.73 24861069
1 0.74 0.26 0.39 20026114
accuracy 0.63 44887183
macro avg 0.67 0.59 0.56 44887183
weighted avg 0.67 0.63 0.58 44887183
Accuracy: 0.6293102866357196
precision recall f1-score support
0 0.09 0.78 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 0.40 2719684
Accuracy: 0.3149531342611862
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: 0.2990432822047953
90-100%
precision recall f1-score support
0 0.06 0.79 0.11 13620
1 0.96 0.27 0.42 240209
accuracy 0.30 253829
macro avg 0.51 0.53 0.26 253829
weighted avg 0.91 0.30 0.40 253829
Accuracy: 0.2965854965350689
0.4
Treshold: 0.5
All
precision recall f1-score support
0 0.66 0.93 0.77 22531902
1 0.79 0.36 0.50 16938696
accuracy 0.68 39470598
macro avg 0.72 0.64 0.63 39470598
weighted avg 0.71 0.68 0.65 39470598
Accuracy: 0.6836938219177728
precision recall f1-score support
0 0.66 0.93 0.77 22531902
1 0.79 0.36 0.50 16938696
accuracy 0.68 39470598
macro avg 0.72 0.64 0.63 39470598
weighted avg 0.71 0.68 0.65 39470598
Accuracy: 0.6836938219177728
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
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 0.94 0.97 0.95 12989887
1 0.55 0.32 0.40 1271288
accuracy 0.92 14261175
macro avg 0.74 0.65 0.68 14261175
weighted avg 0.90 0.92 0.91 14261175
Accuracy: 0.9159621840416375
precision recall f1-score support
0 0.93 0.97 0.95 11439888
1 0.55 0.32 0.40 1271288
accuracy 0.91 12711176
macro avg 0.74 0.64 0.68 12711176
weighted avg 0.89 0.91 0.89 12711176
Accuracy: 0.9057146246735943
10-20%
precision recall f1-score support
0 0.84 0.95 0.89 18034328
1 0.66 0.35 0.45 5083660
accuracy 0.82 23117988
macro avg 0.75 0.65 0.67 23117988
weighted avg 0.80 0.82 0.79 23117988
Accuracy: 0.8174771091671127
precision recall f1-score support
0 0.65 0.89 0.75 5044441
1 0.71 0.35 0.47 3812372
accuracy 0.66 8856813
macro avg 0.68 0.62 0.61 8856813
weighted avg 0.67 0.66 0.63 8856813
Accuracy: 0.6588971676380657
20-40%
precision recall f1-score support
0 0.42 0.84 0.56 2995598
1 0.81 0.37 0.51 5583215
accuracy 0.53 8578813
macro avg 0.61 0.60 0.53 8578813
weighted avg 0.67 0.53 0.52 8578813
Accuracy: 0.5332934754493425
precision recall f1-score support
0 0.74 0.93 0.83 21029926
1 0.74 0.36 0.48 10666875
accuracy 0.74 31696801
macro avg 0.74 0.65 0.65 31696801
weighted avg 0.74 0.74 0.71 31696801
Accuracy: 0.7405621469497821
40-80%
precision recall f1-score support
0 0.25 0.80 0.38 1295061
1 0.88 0.37 0.52 5001564
accuracy 0.46 6296625
macro avg 0.56 0.59 0.45 6296625
weighted avg 0.75 0.46 0.49 6296625
Accuracy: 0.45834395410239614
precision recall f1-score support
0 0.67 0.93 0.78 22324987
1 0.78 0.36 0.49 15668439
accuracy 0.69 37993426
macro avg 0.73 0.64 0.64 37993426
weighted avg 0.72 0.69 0.66 37993426
Accuracy: 0.6937903151982135
80-90%
precision recall f1-score support
0 0.18 0.79 0.29 117971
1 0.91 0.36 0.52 692761
accuracy 0.43 810732
macro avg 0.54 0.58 0.40 810732
weighted avg 0.80 0.43 0.49 810732
Accuracy: 0.42651949102786124
90-100%
precision recall f1-score support
0 0.16 0.79 0.27 88944
1 0.92 0.36 0.52 577496
accuracy 0.42 666440
macro avg 0.54 0.58 0.39 666440
weighted avg 0.82 0.42 0.49 666440
Accuracy: 0.42095312406218116
LR_7_decay_vtime_w_0_75
0.01
Treshold: 0.5
All
precision recall f1-score support
0 0.63 0.84 0.72 28055468
1 0.63 0.37 0.46 21729815
accuracy 0.63 49785283
macro avg 0.63 0.60 0.59 49785283
weighted avg 0.63 0.63 0.61 49785283
Accuracy: 0.6311348877940495
precision recall f1-score support
0 0.63 0.84 0.72 28055468
1 0.63 0.37 0.46 21729815
accuracy 0.63 49785283
macro avg 0.63 0.60 0.59 49785283
weighted avg 0.63 0.63 0.61 49785283
Accuracy: 0.6311348877940495
0-1%
precision recall f1-score support
0 0.68 0.84 0.75 27764588
1 0.58 0.36 0.44 17098553
accuracy 0.66 44863141
macro avg 0.63 0.60 0.60 44863141
weighted avg 0.64 0.66 0.63 44863141
Accuracy: 0.6555909672040128
precision recall f1-score support
0 0.68 0.84 0.75 27764588
1 0.58 0.36 0.44 17098553
accuracy 0.66 44863141
macro avg 0.63 0.60 0.60 44863141
weighted avg 0.64 0.66 0.63 44863141
Accuracy: 0.6555909672040128
1-10%
precision recall f1-score support
0 0.07 0.62 0.12 287564
1 0.94 0.39 0.56 4164787
accuracy 0.41 4452351
macro avg 0.50 0.51 0.34 4452351
weighted avg 0.88 0.41 0.53 4452351
Accuracy: 0.4092141432694772
10-20%
precision recall f1-score support
0 0.01 0.60 0.02 2455
1 0.99 0.40 0.57 257616
accuracy 0.40 260071
macro avg 0.50 0.50 0.29 260071
weighted avg 0.98 0.40 0.56 260071
Accuracy: 0.39927942754094076
precision recall f1-score support
0 0.63 0.84 0.72 28054607
1 0.63 0.37 0.46 21520956
accuracy 0.63 49575563
macro avg 0.63 0.60 0.59 49575563
weighted avg 0.63 0.63 0.61 49575563
Accuracy: 0.6321194173831167
20-40%
precision recall f1-score support
0 0.63 0.84 0.72 28055266
1 0.63 0.37 0.46 21651524
accuracy 0.63 49706790
macro avg 0.63 0.60 0.59 49706790
weighted avg 0.63 0.63 0.61 49706790
Accuracy: 0.6314995396001231
precision recall f1-score support
0 0.01 0.64 0.01 659
1 1.00 0.40 0.57 130568
accuracy 0.40 131227
macro avg 0.50 0.52 0.29 131227
weighted avg 0.99 0.40 0.56 131227
Accuracy: 0.3973191492604418
40-80%
precision recall f1-score support
0 0.00 0.60 0.01 169
1 1.00 0.40 0.57 65234
accuracy 0.40 65403
macro avg 0.50 0.50 0.29 65403
weighted avg 0.99 0.40 0.57 65403
Accuracy: 0.4012354173355962
precision recall f1-score support
0 0.63 0.84 0.72 28055435
1 0.63 0.37 0.46 21716758
accuracy 0.63 49772193
macro avg 0.63 0.60 0.59 49772193
weighted avg 0.63 0.63 0.61 49772193
Accuracy: 0.6311969617251947
80-90%
precision recall f1-score support
0 0.00 0.40 0.00 15
1 1.00 0.38 0.56 7371
accuracy 0.38 7386
macro avg 0.50 0.39 0.28 7386
weighted avg 0.99 0.38 0.55 7386
Accuracy: 0.38478202003790957
90-100%
precision recall f1-score support
0 0.00 0.67 0.01 18
1 1.00 0.41 0.58 5686
accuracy 0.41 5704
macro avg 0.50 0.54 0.29 5704
weighted avg 0.99 0.41 0.58 5704
Accuracy: 0.40848527349228614
0.1
Treshold: 0.5
All
precision recall f1-score support
0 0.66 0.78 0.72 26119367
1 0.66 0.52 0.58 21615229
accuracy 0.66 47734596
macro avg 0.66 0.65 0.65 47734596
weighted avg 0.66 0.66 0.65 47734596
Accuracy: 0.6618987620634728
precision recall f1-score support
0 0.66 0.78 0.72 26119367
1 0.66 0.52 0.58 21615229
accuracy 0.66 47734596
macro avg 0.66 0.65 0.65 47734596
weighted avg 0.66 0.66 0.65 47734596
Accuracy: 0.6618987620634728
0-1%
precision recall f1-score support
0 0.98 0.93 0.95 12053010
1 0.21 0.45 0.29 508421
accuracy 0.91 12561431
macro avg 0.59 0.69 0.62 12561431
weighted avg 0.94 0.91 0.93 12561431
Accuracy: 0.9103169057729171
precision recall f1-score support
0 0.98 0.93 0.95 12053010
1 0.21 0.45 0.29 508421
accuracy 0.91 12561431
macro avg 0.59 0.69 0.62 12561431
weighted avg 0.94 0.91 0.93 12561431
Accuracy: 0.9103169057729171
1-10%
precision recall f1-score support
0 0.73 0.79 0.76 25421477
1 0.59 0.51 0.55 14975241
accuracy 0.69 40396718
macro avg 0.66 0.65 0.65 40396718
weighted avg 0.68 0.69 0.68 40396718
Accuracy: 0.6866531583085537
precision recall f1-score support
0 0.56 0.66 0.61 13368467
1 0.62 0.51 0.56 14466820
accuracy 0.59 27835287
macro avg 0.59 0.59 0.58 27835287
weighted avg 0.59 0.59 0.58 27835287
Accuracy: 0.5857188036178682
10-20%
precision recall f1-score support
0 0.70 0.79 0.74 25924842
1 0.63 0.51 0.57 18362515
accuracy 0.67 44287357
macro avg 0.66 0.65 0.65 44287357
weighted avg 0.67 0.67 0.67 44287357
Accuracy: 0.6726740997436357
precision recall f1-score support
0 0.14 0.53 0.22 503365
1 0.88 0.53 0.66 3387274
accuracy 0.53 3890639
macro avg 0.51 0.53 0.44 3890639
weighted avg 0.79 0.53 0.60 3890639
Accuracy: 0.5275287684105362
20-40%
precision recall f1-score support
0 0.67 0.78 0.73 26072330
1 0.65 0.51 0.57 20332940
accuracy 0.67 46405270
macro avg 0.66 0.65 0.65 46405270
weighted avg 0.66 0.67 0.66 46405270
Accuracy: 0.6659040880486203
precision recall f1-score support
0 0.08 0.52 0.13 147488
1 0.94 0.52 0.67 1970425
accuracy 0.52 2117913
macro avg 0.51 0.52 0.40 2117913
weighted avg 0.88 0.52 0.63 2117913
Accuracy: 0.5243374019612703
40-80%
precision recall f1-score support
0 0.66 0.78 0.72 26113946
1 0.66 0.52 0.58 21397219
accuracy 0.66 47511165
macro avg 0.66 0.65 0.65 47511165
weighted avg 0.66 0.66 0.66 47511165
Accuracy: 0.662564746623241
precision recall f1-score support
0 0.04 0.53 0.08 41616
1 0.97 0.52 0.68 1064279
accuracy 0.52 1105895
macro avg 0.50 0.53 0.38 1105895
weighted avg 0.93 0.52 0.66 1105895
Accuracy: 0.5224401954977642
80-90%
precision recall f1-score support
0 0.03 0.54 0.05 3093
1 0.98 0.52 0.68 120943
accuracy 0.52 124036
macro avg 0.50 0.53 0.37 124036
weighted avg 0.95 0.52 0.66 124036
Accuracy: 0.5207762262568931
90-100%
precision recall f1-score support
0 0.03 0.52 0.05 2328
1 0.98 0.52 0.68 97067
accuracy 0.52 99395
macro avg 0.50 0.52 0.36 99395
weighted avg 0.96 0.52 0.66 99395
Accuracy: 0.5196639670003521
0.2
Treshold: 0.5
All
precision recall f1-score support
0 0.69 0.78 0.73 24893266
1 0.68 0.56 0.62 20563095
accuracy 0.68 45456361
macro avg 0.68 0.67 0.67 45456361
weighted avg 0.68 0.68 0.68 45456361
Accuracy: 0.6839020175856136
precision recall f1-score support
0 0.69 0.78 0.73 24893266
1 0.68 0.56 0.62 20563095
accuracy 0.68 45456361
macro avg 0.68 0.67 0.67 45456361
weighted avg 0.68 0.68 0.68 45456361
Accuracy: 0.6839020175856136
0-1%
precision recall f1-score support
0 1.00 0.99 1.00 4873589
1 0.05 0.49 0.09 3872
accuracy 0.99 4877461
macro avg 0.52 0.74 0.54 4877461
weighted avg 1.00 0.99 1.00 4877461
Accuracy: 0.9915525721271785
precision recall f1-score support
0 1.00 0.99 1.00 4873589
1 0.05 0.49 0.09 3872
accuracy 0.99 4877461
macro avg 0.52 0.74 0.54 4877461
weighted avg 1.00 0.99 1.00 4877461
Accuracy: 0.9915525721271785
1-10%
precision recall f1-score support
0 0.83 0.81 0.82 21822692
1 0.52 0.55 0.54 8020644
accuracy 0.74 29843336
macro avg 0.68 0.68 0.68 29843336
weighted avg 0.75 0.74 0.75 29843336
Accuracy: 0.7441137277682361
precision recall f1-score support
0 0.78 0.76 0.77 16949103
1 0.52 0.55 0.54 8016772
accuracy 0.70 24965875
macro avg 0.65 0.66 0.66 24965875
weighted avg 0.70 0.70 0.70 24965875
Accuracy: 0.6957728098854937
10-20%
precision recall f1-score support
0 0.76 0.79 0.78 23880186
1 0.61 0.56 0.58 13481800
accuracy 0.71 37361986
macro avg 0.68 0.68 0.68 37361986
weighted avg 0.71 0.71 0.71 37361986
Accuracy: 0.7097037614649285
precision recall f1-score support
0 0.33 0.57 0.42 2057494
1 0.78 0.58 0.66 5461156
accuracy 0.57 7518650
macro avg 0.56 0.57 0.54 7518650
weighted avg 0.66 0.57 0.60 7518650
Accuracy: 0.5731223025410147
20-40%
precision recall f1-score support
0 0.72 0.79 0.75 24625160
1 0.65 0.56 0.61 17542339
accuracy 0.69 42167499
macro avg 0.68 0.67 0.68 42167499
weighted avg 0.69 0.69 0.69 42167499
Accuracy: 0.6934430946450013
precision recall f1-score support
0 0.19 0.54 0.28 744974
1 0.87 0.57 0.69 4060539
accuracy 0.57 4805513
macro avg 0.53 0.56 0.48 4805513
weighted avg 0.77 0.57 0.63 4805513
Accuracy: 0.5670193796167027
40-80%
precision recall f1-score support
0 0.69 0.78 0.73 24861069
1 0.68 0.56 0.62 20026114
accuracy 0.69 44887183
macro avg 0.68 0.67 0.67 44887183
weighted avg 0.68 0.69 0.68 44887183
Accuracy: 0.6854893968284889
precision recall f1-score support
0 0.10 0.54 0.17 235909
1 0.93 0.56 0.70 2483775
accuracy 0.56 2719684
macro avg 0.52 0.55 0.44 2719684
weighted avg 0.86 0.56 0.66 2719684
Accuracy: 0.5621708257282831
80-90%
precision recall f1-score support
0 0.07 0.54 0.13 18577
1 0.95 0.56 0.71 296772
accuracy 0.56 315349
macro avg 0.51 0.55 0.42 315349
weighted avg 0.90 0.56 0.67 315349
Accuracy: 0.558945802904084
90-100%
precision recall f1-score support
0 0.06 0.54 0.12 13620
1 0.96 0.56 0.71 240209
accuracy 0.56 253829
macro avg 0.51 0.55 0.41 253829
weighted avg 0.91 0.56 0.67 253829
Accuracy: 0.5584310697359246
0.4
Treshold: 0.5
All
precision recall f1-score support
0 0.72 0.82 0.77 22531902
1 0.71 0.58 0.64 16938696
accuracy 0.72 39470598
macro avg 0.71 0.70 0.70 39470598
weighted avg 0.72 0.72 0.71 39470598
Accuracy: 0.7166955514583285
precision recall f1-score support
0 0.72 0.82 0.77 22531902
1 0.71 0.58 0.64 16938696
accuracy 0.72 39470598
macro avg 0.71 0.70 0.70 39470598
weighted avg 0.72 0.72 0.71 39470598
Accuracy: 0.7166955514583285
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: 0.9999961290297606
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: 0.9999961290297606
1-10%
precision recall f1-score support
0 0.95 0.91 0.93 12989887
1 0.37 0.54 0.44 1271288
accuracy 0.88 14261175
macro avg 0.66 0.72 0.69 14261175
weighted avg 0.90 0.88 0.89 14261175
Accuracy: 0.8781296772531015
precision recall f1-score support
0 0.95 0.90 0.92 11439888
1 0.37 0.54 0.44 1271288
accuracy 0.86 12711176
macro avg 0.66 0.72 0.68 12711176
weighted avg 0.89 0.86 0.87 12711176
Accuracy: 0.8632692993944856
10-20%
precision recall f1-score support
0 0.87 0.86 0.87 18034328
1 0.53 0.56 0.55 5083660
accuracy 0.80 23117988
macro avg 0.70 0.71 0.71 23117988
weighted avg 0.80 0.80 0.80 23117988
Accuracy: 0.7950931543004521
precision recall f1-score support
0 0.69 0.73 0.71 5044441
1 0.61 0.57 0.59 3812372
accuracy 0.66 8856813
macro avg 0.65 0.65 0.65 8856813
weighted avg 0.66 0.66 0.66 8856813
Accuracy: 0.6613883571889798
20-40%
precision recall f1-score support
0 0.47 0.67 0.55 2995598
1 0.77 0.59 0.67 5583215
accuracy 0.62 8578813
macro avg 0.62 0.63 0.61 8578813
weighted avg 0.66 0.62 0.62 8578813
Accuracy: 0.6159384754044644
precision recall f1-score support
0 0.79 0.83 0.81 21029926
1 0.64 0.58 0.60 10666875
accuracy 0.75 31696801
macro avg 0.72 0.70 0.71 31696801
weighted avg 0.74 0.75 0.74 31696801
Accuracy: 0.7466045232766549
40-80%
precision recall f1-score support
0 0.29 0.64 0.39 1295061
1 0.86 0.59 0.70 5001564
accuracy 0.60 6296625
macro avg 0.57 0.61 0.55 6296625
weighted avg 0.74 0.60 0.64 6296625
Accuracy: 0.5965116232902546
precision recall f1-score support
0 0.74 0.82 0.78 22324987
1 0.70 0.58 0.63 15668439
accuracy 0.72 37993426
macro avg 0.72 0.70 0.70 37993426
weighted avg 0.72 0.72 0.72 37993426
Accuracy: 0.7217297276639385
80-90%
precision recall f1-score support
0 0.20 0.63 0.31 117971
1 0.90 0.58 0.71 692761
accuracy 0.59 810732
macro avg 0.55 0.61 0.51 810732
weighted avg 0.80 0.59 0.65 810732
Accuracy: 0.5877367613465362
90-100%
precision recall f1-score support
0 0.19 0.63 0.29 88944
1 0.91 0.58 0.71 577496
accuracy 0.59 666440
macro avg 0.55 0.61 0.50 666440
weighted avg 0.81 0.59 0.65 666440
Accuracy: 0.586579437008583
LR_8_decay_rtime
0.01
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 0.00 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
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
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
0.1
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
0.2
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: 0.6798797202442141
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
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 0.90 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
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
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 0.81 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
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
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
0.4
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 0.52 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
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
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
LR_8_decay_rtime_w_0_5
0.01
Treshold: 0.5
All
precision recall f1-score support
0 0.75 0.87 0.81 28055468
1 0.79 0.64 0.70 21729815
accuracy 0.77 49785283
macro avg 0.77 0.75 0.75 49785283
weighted avg 0.77 0.77 0.76 49785283
Accuracy: 0.7658230244468028
precision recall f1-score support
0 0.75 0.87 0.81 28055468
1 0.79 0.64 0.70 21729815
accuracy 0.77 49785283
macro avg 0.77 0.75 0.75 49785283
weighted avg 0.77 0.77 0.76 49785283
Accuracy: 0.76582304453306
0-1%
precision recall f1-score support
0 0.75 0.88 0.81 27764588
1 0.73 0.54 0.62 17098553
accuracy 0.75 44863141
macro avg 0.74 0.71 0.71 44863141
weighted avg 0.74 0.75 0.74 44863141
Accuracy: 0.7466908525196664
precision recall f1-score support
0 0.75 0.88 0.81 27764588
1 0.73 0.54 0.62 17098553
accuracy 0.75 44863141
macro avg 0.74 0.71 0.71 44863141
weighted avg 0.74 0.75 0.74 44863141
Accuracy: 0.7466908302296533
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: 0.9346399239413065
precision recall f1-score support
0 0.75 0.87 0.81 28052152
1 0.78 0.63 0.70 21263340
accuracy 0.76 49315492
macro avg 0.77 0.75 0.75 49315492
weighted avg 0.77 0.76 0.76 49315492
Accuracy: 0.7636594399179877
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
precision recall f1-score support
0 0.75 0.87 0.81 28054607
1 0.78 0.63 0.70 21520956
accuracy 0.76 49575563
macro avg 0.77 0.75 0.75 49575563
weighted avg 0.77 0.76 0.76 49575563
Accuracy: 0.7648497506725239
20-40%
precision recall f1-score support
0 0.75 0.87 0.81 28055266
1 0.79 0.63 0.70 21651524
accuracy 0.77 49706790
macro avg 0.77 0.75 0.75 49706790
weighted avg 0.77 0.77 0.76 49706790
Accuracy: 0.7654572946673885
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
precision recall f1-score support
0 0.75 0.87 0.81 28055435
1 0.79 0.64 0.70 21716758
accuracy 0.77 49772193
macro avg 0.77 0.75 0.75 49772193
weighted avg 0.77 0.77 0.76 49772193
Accuracy: 0.7657620993312471
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
0.1
Treshold: 0.5
All
precision recall f1-score support
0 0.68 0.85 0.76 26119367
1 0.74 0.53 0.61 21615229
accuracy 0.70 47734596
macro avg 0.71 0.69 0.68 47734596
weighted avg 0.71 0.70 0.69 47734596
Accuracy: 0.7006605230302986
precision recall f1-score support
0 0.68 0.85 0.76 26119367
1 0.74 0.53 0.61 21615229
accuracy 0.70 47734596
macro avg 0.71 0.69 0.68 47734596
weighted avg 0.71 0.70 0.69 47734596
Accuracy: 0.7006605439794651
0-1%
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.25 0.05 0.08 508421
accuracy 0.96 12561431
macro avg 0.60 0.52 0.53 12561431
weighted avg 0.93 0.96 0.94 12561431
Accuracy: 0.9552593171908519
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.25 0.05 0.08 508421
accuracy 0.96 12561431
macro avg 0.60 0.52 0.53 12561431
weighted avg 0.93 0.96 0.94 12561431
Accuracy: 0.9552593171908519
1-10%
precision recall f1-score support
0 0.73 0.86 0.79 25421477
1 0.65 0.45 0.53 14975241
accuracy 0.71 40396718
macro avg 0.69 0.65 0.66 40396718
weighted avg 0.70 0.71 0.69 40396718
Accuracy: 0.7062878969524208
precision recall f1-score support
0 0.56 0.74 0.64 13368467
1 0.65 0.46 0.54 14466820
accuracy 0.59 27835287
macro avg 0.61 0.60 0.59 27835287
weighted avg 0.61 0.59 0.59 27835287
Accuracy: 0.593932765988725
10-20%
precision recall f1-score support
0 0.70 0.85 0.77 25924842
1 0.70 0.49 0.58 18362515
accuracy 0.70 44287357
macro avg 0.70 0.67 0.67 44287357
weighted avg 0.70 0.70 0.69 44287357
Accuracy: 0.7006324175091324
precision recall f1-score support
0 0.15 0.38 0.21 503365
1 0.88 0.68 0.77 3387274
accuracy 0.64 3890639
macro avg 0.51 0.53 0.49 3890639
weighted avg 0.79 0.64 0.70 3890639
Accuracy: 0.6419112644478195
20-40%
precision recall f1-score support
0 0.69 0.85 0.76 26072330
1 0.72 0.51 0.60 20332940
accuracy 0.70 46405270
macro avg 0.71 0.68 0.68 46405270
weighted avg 0.70 0.70 0.69 46405270
Accuracy: 0.7001336055150633
precision recall f1-score support
0 0.08 0.34 0.13 147488
1 0.94 0.72 0.81 1970425
accuracy 0.69 2117913
macro avg 0.51 0.53 0.47 2117913
weighted avg 0.88 0.69 0.76 2117913
Accuracy: 0.6897030236841646
40-80%
precision recall f1-score support
0 0.68 0.85 0.76 26113946
1 0.73 0.52 0.61 21397219
accuracy 0.70 47511165
macro avg 0.71 0.68 0.68 47511165
weighted avg 0.71 0.70 0.69 47511165
Accuracy: 0.7005308120733306
precision recall f1-score support
0 0.04 0.32 0.08 41616
1 0.96 0.73 0.83 1064279
accuracy 0.72 1105895
macro avg 0.50 0.53 0.46 1105895
weighted avg 0.93 0.72 0.80 1105895
Accuracy: 0.7171982873600116
80-90%
precision recall f1-score support
0 0.03 0.31 0.05 3093
1 0.98 0.74 0.84 120943
accuracy 0.73 124036
macro avg 0.50 0.53 0.45 124036
weighted avg 0.95 0.73 0.82 124036
Accuracy: 0.7272646650972299
90-100%
precision recall f1-score support
0 0.03 0.29 0.05 2328
1 0.98 0.74 0.84 97067
accuracy 0.73 99395
macro avg 0.50 0.52 0.45 99395
weighted avg 0.96 0.73 0.82 99395
Accuracy: 0.7294632526787062
0.2
Treshold: 0.5
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
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
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 0.73 1.00 0.84 21822692
1 0.00 0.00 0.00 8020644
accuracy 0.73 29843336
macro avg 0.37 0.50 0.42 29843336
weighted avg 0.53 0.73 0.62 29843336
Accuracy: 0.7312417083666518
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 0.64 1.00 0.78 23880186
1 0.00 0.00 0.00 13481800
accuracy 0.64 37361986
macro avg 0.32 0.50 0.39 37361986
weighted avg 0.41 0.64 0.50 37361986
Accuracy: 0.6391572974734266
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 0.58 1.00 0.74 24625160
1 0.00 0.00 0.00 17542339
accuracy 0.58 42167499
macro avg 0.29 0.50 0.37 42167499
weighted avg 0.34 0.58 0.43 42167499
Accuracy: 0.5839843619845702
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 0.55 1.00 0.71 24861069
1 0.00 0.00 0.00 20026114
accuracy 0.55 44887183
macro avg 0.28 0.50 0.36 44887183
weighted avg 0.31 0.55 0.39 44887183
Accuracy: 0.553856743471739
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: 0.5
All
precision recall f1-score support
0 0.66 0.93 0.77 22531902
1 0.79 0.36 0.50 16938696
accuracy 0.68 39470598
macro avg 0.72 0.64 0.63 39470598
weighted avg 0.71 0.68 0.65 39470598
Accuracy: 0.6836500424949224
precision recall f1-score support
0 0.66 0.93 0.77 22531902
1 0.79 0.36 0.50 16938696
accuracy 0.68 39470598
macro avg 0.72 0.64 0.63 39470598
weighted avg 0.71 0.68 0.65 39470598
Accuracy: 0.6836500424949224
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
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.93 0.97 0.95 11439888
1 0.55 0.32 0.40 1271288
accuracy 0.91 12711176
macro avg 0.74 0.64 0.68 12711176
weighted avg 0.89 0.91 0.89 12711176
Accuracy: 0.905719108916437
10-20%
precision recall f1-score support
0 0.84 0.95 0.89 18034328
1 0.66 0.34 0.45 5083660
accuracy 0.82 23117988
macro avg 0.75 0.65 0.67 23117988
weighted avg 0.80 0.82 0.79 23117988
Accuracy: 0.8174659490263599
precision recall f1-score support
0 0.65 0.89 0.75 5044441
1 0.71 0.35 0.47 3812372
accuracy 0.66 8856813
macro avg 0.68 0.62 0.61 8856813
weighted avg 0.67 0.66 0.63 8856813
Accuracy: 0.658861601797396
20-40%
precision recall f1-score support
0 0.42 0.84 0.56 2995598
1 0.81 0.37 0.51 5583215
accuracy 0.53 8578813
macro avg 0.61 0.60 0.53 8578813
weighted avg 0.67 0.53 0.52 8578813
Accuracy: 0.5332129281754947
precision recall f1-score support
0 0.74 0.93 0.83 21029926
1 0.74 0.36 0.48 10666875
accuracy 0.74 31696801
macro avg 0.74 0.65 0.65 31696801
weighted avg 0.74 0.74 0.71 31696801
Accuracy: 0.7405322070198819
40-80%
precision recall f1-score support
0 0.25 0.80 0.38 1295061
1 0.88 0.37 0.52 5001564
accuracy 0.46 6296625
macro avg 0.56 0.59 0.45 6296625
weighted avg 0.75 0.46 0.49 6296625
Accuracy: 0.45825088837273936
precision recall f1-score support
0 0.67 0.93 0.78 22324987
1 0.78 0.36 0.49 15668439
accuracy 0.69 37993426
macro avg 0.73 0.64 0.64 37993426
weighted avg 0.72 0.69 0.66 37993426
Accuracy: 0.6937499134718728
80-90%
precision recall f1-score support
0 0.18 0.79 0.29 117971
1 0.91 0.36 0.52 692761
accuracy 0.43 810732
macro avg 0.54 0.58 0.40 810732
weighted avg 0.80 0.43 0.49 810732
Accuracy: 0.4263936787989126
90-100%
precision recall f1-score support
0 0.16 0.79 0.27 88944
1 0.92 0.36 0.52 577496
accuracy 0.42 666440
macro avg 0.54 0.58 0.39 666440
weighted avg 0.82 0.42 0.49 666440
Accuracy: 0.42081657763639635
LR_8_decay_rtime_w_0_75
0.01
Treshold: 0.5
All
precision recall f1-score support
0 0.81 0.79 0.80 28055468
1 0.74 0.76 0.75 21729815
accuracy 0.78 49785283
macro avg 0.77 0.78 0.77 49785283
weighted avg 0.78 0.78 0.78 49785283
Accuracy: 0.7774990050774644
precision recall f1-score support
0 0.81 0.79 0.80 28055468
1 0.74 0.76 0.75 21729815
accuracy 0.78 49785283
macro avg 0.77 0.78 0.77 49785283
weighted avg 0.78 0.78 0.78 49785283
Accuracy: 0.777499065336236
0-1%
precision recall f1-score support
0 0.81 0.80 0.80 27764588
1 0.68 0.70 0.69 17098553
accuracy 0.76 44863141
macro avg 0.75 0.75 0.75 44863141
weighted avg 0.76 0.76 0.76 44863141
Accuracy: 0.7595720504723465
1-10%
precision recall f1-score support
0 0.15 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.54 0.50 0.48 4452351
weighted avg 0.88 0.94 0.90 4452351
Accuracy: 0.9354042392434918
precision recall f1-score support
0 0.81 0.79 0.80 28052152
1 0.73 0.76 0.74 21263340
accuracy 0.78 49315492
macro avg 0.77 0.77 0.77 49315492
weighted avg 0.78 0.78 0.78 49315492
Accuracy: 0.775446648692058
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 0.81 0.79 0.80 28055266
1 0.74 0.76 0.75 21651524
accuracy 0.78 49706790
macro avg 0.77 0.78 0.77 49706790
weighted avg 0.78 0.78 0.78 49706790
Accuracy: 0.7771517130758192
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
precision recall f1-score support
0 0.81 0.79 0.80 28055435
1 0.74 0.76 0.75 21716758
accuracy 0.78 49772193
macro avg 0.77 0.78 0.77 49772193
weighted avg 0.78 0.78 0.78 49772193
Accuracy: 0.7774411507244617
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
0.1
Treshold: 0.5
All
precision recall f1-score support
0 0.79 0.73 0.76 26119367
1 0.70 0.76 0.73 21615229
accuracy 0.75 47734596
macro avg 0.75 0.75 0.75 47734596
weighted avg 0.75 0.75 0.75 47734596
Accuracy: 0.7468403838591197
precision recall f1-score support
0 0.79 0.73 0.76 26119367
1 0.70 0.76 0.73 21615229
accuracy 0.75 47734596
macro avg 0.75 0.75 0.75 47734596
weighted avg 0.75 0.75 0.75 47734596
Accuracy: 0.7468403838591197
0-1%
precision recall f1-score support
0 0.96 0.98 0.97 12053010
1 0.22 0.13 0.16 508421
accuracy 0.95 12561431
macro avg 0.59 0.56 0.57 12561431
weighted avg 0.93 0.95 0.94 12561431
Accuracy: 0.9464279985297853
precision recall f1-score support
0 0.96 0.98 0.97 12053010
1 0.22 0.13 0.16 508421
accuracy 0.95 12561431
macro avg 0.59 0.56 0.57 12561431
weighted avg 0.93 0.95 0.94 12561431
Accuracy: 0.9464279985297853
1-10%
precision recall f1-score support
0 0.80 0.75 0.77 25421477
1 0.62 0.68 0.65 14975241
accuracy 0.72 40396718
macro avg 0.71 0.72 0.71 40396718
weighted avg 0.73 0.72 0.73 40396718
Accuracy: 0.7245799275079723
precision recall f1-score support
0 0.63 0.54 0.58 13368467
1 0.62 0.70 0.66 14466820
accuracy 0.62 27835287
macro avg 0.62 0.62 0.62 27835287
weighted avg 0.62 0.62 0.62 27835287
Accuracy: 0.6244649462389232
10-20%
precision recall f1-score support
0 0.79 0.74 0.76 25924842
1 0.66 0.73 0.69 18362515
accuracy 0.73 44287357
macro avg 0.73 0.73 0.73 44287357
weighted avg 0.74 0.73 0.73 44287357
Accuracy: 0.7332561751201364
precision recall f1-score support
0 0.15 0.08 0.11 503365
1 0.87 0.93 0.90 3387274
accuracy 0.82 3890639
macro avg 0.51 0.51 0.50 3890639
weighted avg 0.78 0.82 0.80 3890639
Accuracy: 0.8233421296604491
20-40%
precision recall f1-score support
0 0.79 0.73 0.76 26072330
1 0.69 0.75 0.72 20332940
accuracy 0.74 46405270
macro avg 0.74 0.74 0.74 46405270
weighted avg 0.75 0.74 0.74 46405270
Accuracy: 0.7409923700476261
precision recall f1-score support
0 0.08 0.04 0.05 147488
1 0.93 0.97 0.95 1970425
accuracy 0.90 2117913
macro avg 0.51 0.50 0.50 2117913
weighted avg 0.87 0.90 0.89 2117913
Accuracy: 0.9027627669314084
40-80%
precision recall f1-score support
0 0.79 0.73 0.76 26113946
1 0.70 0.76 0.73 21397219
accuracy 0.75 47511165
macro avg 0.74 0.75 0.74 47511165
weighted avg 0.75 0.75 0.75 47511165
Accuracy: 0.7458066119826782
precision recall f1-score support
0 0.05 0.02 0.03 41616
1 0.96 0.98 0.97 1064279
accuracy 0.95 1105895
macro avg 0.50 0.50 0.50 1105895
weighted avg 0.93 0.95 0.94 1105895
Accuracy: 0.9478205435416563
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: 0.9653971427650037
90-100%
precision recall f1-score support
0 0.02 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: 0.9682478997937523
0.2
Treshold: 0.5
All
precision recall f1-score support
0 0.75 0.67 0.71 24893266
1 0.65 0.73 0.69 20563095
accuracy 0.70 45456361
macro avg 0.70 0.70 0.70 45456361
weighted avg 0.71 0.70 0.70 45456361
Accuracy: 0.7003292014510356
precision recall f1-score support
0 0.75 0.67 0.71 24893266
1 0.65 0.73 0.69 20563095
accuracy 0.70 45456361
macro avg 0.70 0.70 0.70 45456361
weighted avg 0.71 0.70 0.70 45456361
Accuracy: 0.7003292014510356
0-1%
precision recall f1-score support
0 1.00 0.99 0.99 4873589
1 0.04 0.52 0.07 3872
accuracy 0.99 4877461
macro avg 0.52 0.75 0.53 4877461
weighted avg 1.00 0.99 0.99 4877461
Accuracy: 0.9884956537838027
1-10%
precision recall f1-score support
0 0.82 0.63 0.71 16949103
1 0.48 0.71 0.57 8016772
accuracy 0.66 24965875
macro avg 0.65 0.67 0.64 24965875
weighted avg 0.71 0.66 0.67 24965875
Accuracy: 0.6565969748706985
10-20%
precision recall f1-score support
0 0.82 0.68 0.74 23880186
1 0.56 0.73 0.64 13481800
accuracy 0.70 37361986
macro avg 0.69 0.70 0.69 37361986
weighted avg 0.72 0.70 0.70 37361986
Accuracy: 0.6992152130242756
precision recall f1-score support
0 0.37 0.39 0.38 2057494
1 0.77 0.75 0.76 5461156
accuracy 0.65 7518650
macro avg 0.57 0.57 0.57 7518650
weighted avg 0.66 0.65 0.66 7518650
Accuracy: 0.6530696335113352
20-40%
precision recall f1-score support
0 0.78 0.68 0.72 24625160
1 0.62 0.73 0.67 17542339
accuracy 0.70 42167499
macro avg 0.70 0.70 0.70 42167499
weighted avg 0.71 0.70 0.70 42167499
Accuracy: 0.6987434089937371
precision recall f1-score support
0 0.22 0.37 0.27 744974
1 0.87 0.75 0.81 4060539
accuracy 0.70 4805513
macro avg 0.54 0.56 0.54 4805513
weighted avg 0.77 0.70 0.72 4805513
Accuracy: 0.6950752188163886
40-80%
precision recall f1-score support
0 0.76 0.67 0.71 24861069
1 0.64 0.73 0.69 20026114
accuracy 0.70 44887183
macro avg 0.70 0.70 0.70 44887183
weighted avg 0.71 0.70 0.70 44887183
Accuracy: 0.699972105623113
precision recall f1-score support
0 0.12 0.37 0.18 235909
1 0.93 0.75 0.83 2483775
accuracy 0.72 2719684
macro avg 0.52 0.56 0.51 2719684
weighted avg 0.86 0.72 0.77 2719684
Accuracy: 0.7190225040850334
80-90%
precision recall f1-score support
0 0.08 0.36 0.14 18577
1 0.95 0.75 0.84 296772
accuracy 0.73 315349
macro avg 0.52 0.56 0.49 315349
weighted avg 0.90 0.73 0.80 315349
Accuracy: 0.7271784594211492
90-100%
precision recall f1-score support
0 0.08 0.37 0.13 13620
1 0.95 0.75 0.84 240209
accuracy 0.73 253829
macro avg 0.52 0.56 0.48 253829
weighted avg 0.91 0.73 0.80 253829
Accuracy: 0.7301214597228843
0.4
Treshold: 0.5
All
precision recall f1-score support
0 0.72 0.82 0.77 22531902
1 0.71 0.58 0.64 16938696
accuracy 0.72 39470598
macro avg 0.71 0.70 0.70 39470598
weighted avg 0.72 0.72 0.71 39470598
Accuracy: 0.7166914218021222
precision recall f1-score support
0 0.72 0.82 0.77 22531902
1 0.71 0.58 0.64 16938696
accuracy 0.72 39470598
macro avg 0.71 0.70 0.70 39470598
weighted avg 0.72 0.72 0.71 39470598
Accuracy: 0.7166914218021222
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: 0.9999961290297606
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: 0.9999961290297606
1-10%
precision recall f1-score support
0 0.95 0.91 0.93 12989887
1 0.37 0.54 0.44 1271288
accuracy 0.88 14261175
macro avg 0.66 0.72 0.69 14261175
weighted avg 0.90 0.88 0.89 14261175
Accuracy: 0.8781463659200592
precision recall f1-score support
0 0.95 0.90 0.92 11439888
1 0.37 0.54 0.44 1271288
accuracy 0.86 12711176
macro avg 0.66 0.72 0.68 12711176
weighted avg 0.89 0.86 0.87 12711176
Accuracy: 0.863288023075127
10-20%
precision recall f1-score support
0 0.87 0.86 0.87 18034328
1 0.53 0.56 0.55 5083660
accuracy 0.80 23117988
macro avg 0.70 0.71 0.71 23117988
weighted avg 0.80 0.80 0.80 23117988
Accuracy: 0.7951051363120355
precision recall f1-score support
0 0.69 0.73 0.71 5044441
1 0.61 0.57 0.59 3812372
accuracy 0.66 8856813
macro avg 0.65 0.65 0.65 8856813
weighted avg 0.66 0.66 0.66 8856813
Accuracy: 0.661392760578777
20-40%
precision recall f1-score support
0 0.47 0.67 0.55 2995598
1 0.77 0.59 0.67 5583215
accuracy 0.62 8578813
macro avg 0.62 0.63 0.61 8578813
weighted avg 0.66 0.62 0.62 8578813
Accuracy: 0.6159187757094134
precision recall f1-score support
0 0.79 0.83 0.81 21029926
1 0.64 0.58 0.60 10666875
accuracy 0.75 31696801
macro avg 0.72 0.70 0.71 31696801
weighted avg 0.74 0.75 0.74 31696801
Accuracy: 0.7466079305605635
40-80%
precision recall f1-score support
0 0.29 0.64 0.39 1295061
1 0.86 0.59 0.70 5001564
accuracy 0.60 6296625
macro avg 0.57 0.61 0.55 6296625
weighted avg 0.74 0.60 0.64 6296625
Accuracy: 0.5964776368292538
precision recall f1-score support
0 0.74 0.82 0.78 22324987
1 0.70 0.58 0.63 15668439
accuracy 0.72 37993426
macro avg 0.72 0.70 0.70 37993426
weighted avg 0.72 0.72 0.72 37993426
Accuracy: 0.7217269377075919
80-90%
precision recall f1-score support
0 0.20 0.63 0.31 117971
1 0.90 0.58 0.71 692761
accuracy 0.59 810732
macro avg 0.55 0.61 0.51 810732
weighted avg 0.80 0.59 0.65 810732
Accuracy: 0.5876985242965617
90-100%
precision recall f1-score support
0 0.19 0.63 0.29 88944
1 0.91 0.58 0.71 577496
accuracy 0.59 666440
macro avg 0.55 0.61 0.50 666440
weighted avg 0.81 0.59 0.65 666440
Accuracy: 0.586540423744073
LR_8_decay_vtime
0.01
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 0.01 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
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
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 0.00 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
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
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
0.1
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
0.2
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 0.88 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
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
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 0.76 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
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
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
0.4
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 0.52 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
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
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: 0.7068896432612709
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
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
LR_8_decay_vtime_w_0_5
0.01
Treshold: 0.5
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
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
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
precision recall f1-score support
0 0.57 1.00 0.73 28052152
1 0.00 0.00 0.00 21263340
accuracy 0.57 49315492
macro avg 0.28 0.50 0.36 49315492
weighted avg 0.32 0.57 0.41 49315492
Accuracy: 0.568830419455209
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
precision recall f1-score support
0 0.57 1.00 0.72 28054607
1 0.00 0.00 0.00 21520956
accuracy 0.57 49575563
macro avg 0.28 0.50 0.36 49575563
weighted avg 0.32 0.57 0.41 49575563
Accuracy: 0.5658958830180103
20-40%
precision recall f1-score support
0 0.56 1.00 0.72 28055266
1 0.00 0.00 0.00 21651524
accuracy 0.56 49706790
macro avg 0.28 0.50 0.36 49706790
weighted avg 0.32 0.56 0.41 49706790
Accuracy: 0.5644151634012174
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
precision recall f1-score support
0 0.56 1.00 0.72 28055435
1 0.00 0.00 0.00 21716758
accuracy 0.56 49772193
macro avg 0.28 0.50 0.36 49772193
weighted avg 0.32 0.56 0.41 49772193
Accuracy: 0.5636768908293834
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: 0.5
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: 0.592654644023802
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: 0.592654644023802
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: 0.9570162030106283
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: 0.9570162030106283
1-10%
precision recall f1-score support
0 0.66 0.95 0.78 25421477
1 0.66 0.16 0.25 14975241
accuracy 0.66 40396718
macro avg 0.66 0.55 0.52 40396718
weighted avg 0.66 0.66 0.58 40396718
Accuracy: 0.6571021437929685
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 0.44 27835287
Accuracy: 0.5217577602127832
10-20%
precision recall f1-score support
0 0.61 0.95 0.75 25924842
1 0.69 0.16 0.26 18362515
accuracy 0.62 44287357
macro avg 0.65 0.55 0.50 44287357
weighted avg 0.65 0.62 0.54 44287357
Accuracy: 0.6222306515152846
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: 0.2601580357365461
20-40%
precision recall f1-score support
0 0.59 0.95 0.73 26072330
1 0.71 0.16 0.26 20332940
accuracy 0.60 46405270
macro avg 0.65 0.56 0.50 46405270
weighted avg 0.64 0.60 0.53 46405270
Accuracy: 0.6039405222725781
precision recall f1-score support
0 0.07 0.84 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: 0.22147840822545592
40-80%
precision recall f1-score support
0 0.58 0.95 0.72 26113946
1 0.72 0.16 0.27 21397219
accuracy 0.59 47511165
macro avg 0.65 0.56 0.49 47511165
weighted avg 0.64 0.59 0.52 47511165
Accuracy: 0.594540188606194
precision recall f1-score support
0 0.04 0.85 0.07 41616
1 0.97 0.17 0.30 1064279
accuracy 0.20 1105895
macro avg 0.50 0.51 0.18 1105895
weighted avg 0.93 0.20 0.29 1105895
Accuracy: 0.2000859032729147
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 0.17 124036
weighted avg 0.95 0.19 0.29 124036
Accuracy: 0.19328259537553613
90-100%
precision recall f1-score support
0 0.02 0.85 0.05 2328
1 0.98 0.17 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: 0.18973791438201118
0.2
Treshold: 0.5
All
precision recall f1-score support
0 0.60 0.92 0.73 24893266
1 0.74 0.26 0.39 20563095
accuracy 0.63 45456361
macro avg 0.67 0.59 0.56 45456361
weighted avg 0.67 0.63 0.58 45456361
Accuracy: 0.6253410826264777
precision recall f1-score support
0 0.60 0.92 0.73 24893266
1 0.74 0.26 0.39 20563095
accuracy 0.63 45456361
macro avg 0.67 0.59 0.56 45456361
weighted avg 0.67 0.63 0.58 45456361
Accuracy: 0.6253410826264777
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.24 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: 0.9988399702222119
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.24 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: 0.9988399702222119
1-10%
precision recall f1-score support
0 0.77 0.94 0.85 21822692
1 0.62 0.25 0.36 8020644
accuracy 0.76 29843336
macro avg 0.69 0.60 0.60 29843336
weighted avg 0.73 0.76 0.72 29843336
Accuracy: 0.756489824059884
precision recall f1-score support
0 0.72 0.93 0.81 16949103
1 0.62 0.25 0.36 8016772
accuracy 0.71 24965875
macro avg 0.67 0.59 0.58 24965875
weighted avg 0.69 0.71 0.67 24965875
Accuracy: 0.7091430602772785
10-20%
precision recall f1-score support
0 0.69 0.93 0.79 23880186
1 0.68 0.26 0.37 13481800
accuracy 0.69 37361986
macro avg 0.68 0.59 0.58 37361986
weighted avg 0.69 0.69 0.64 37361986
Accuracy: 0.6881000651303707
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 0.42 7518650
weighted avg 0.65 0.42 0.41 7518650
Accuracy: 0.41664461040213335
20-40%
precision recall f1-score support
0 0.64 0.93 0.76 24625160
1 0.72 0.26 0.38 17542339
accuracy 0.65 42167499
macro avg 0.68 0.59 0.57 42167499
weighted avg 0.67 0.65 0.60 42167499
Accuracy: 0.6497353091773358
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: 0.3514563377520777
40-80%
precision recall f1-score support
0 0.61 0.93 0.73 24861069
1 0.74 0.26 0.39 20026114
accuracy 0.63 44887183
macro avg 0.67 0.59 0.56 44887183
weighted avg 0.67 0.63 0.58 44887183
Accuracy: 0.6294844566209468
precision recall f1-score support
0 0.09 0.78 0.17 235909
1 0.93 0.27 0.42 2483775
accuracy 0.32 2719684
macro avg 0.51 0.53 0.29 2719684
weighted avg 0.86 0.32 0.40 2719684
Accuracy: 0.3155039335452207
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: 0.299712382154375
90-100%
precision recall f1-score support
0 0.06 0.79 0.11 13620
1 0.96 0.27 0.42 240209
accuracy 0.30 253829
macro avg 0.51 0.53 0.26 253829
weighted avg 0.91 0.30 0.40 253829
Accuracy: 0.297176445559806
0.4
Treshold: 0.5
All
precision recall f1-score support
0 0.66 0.93 0.77 22531902
1 0.79 0.36 0.50 16938696
accuracy 0.68 39470598
macro avg 0.72 0.64 0.63 39470598
weighted avg 0.71 0.68 0.65 39470598
Accuracy: 0.6836500424949224
precision recall f1-score support
0 0.66 0.93 0.77 22531902
1 0.79 0.36 0.50 16938696
accuracy 0.68 39470598
macro avg 0.72 0.64 0.63 39470598
weighted avg 0.71 0.68 0.65 39470598
Accuracy: 0.6836500424949224
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
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 0.94 0.97 0.95 12989887
1 0.55 0.32 0.40 1271288
accuracy 0.92 14261175
macro avg 0.74 0.65 0.68 14261175
weighted avg 0.90 0.92 0.91 14261175
Accuracy: 0.9159661809072535
precision recall f1-score support
0 0.93 0.97 0.95 11439888
1 0.55 0.32 0.40 1271288
accuracy 0.91 12711176
macro avg 0.74 0.64 0.68 12711176
weighted avg 0.89 0.91 0.89 12711176
Accuracy: 0.905719108916437
10-20%
precision recall f1-score support
0 0.84 0.95 0.89 18034328
1 0.66 0.34 0.45 5083660
accuracy 0.82 23117988
macro avg 0.75 0.65 0.67 23117988
weighted avg 0.80 0.82 0.79 23117988
Accuracy: 0.8174659490263599
precision recall f1-score support
0 0.65 0.89 0.75 5044441
1 0.71 0.35 0.47 3812372
accuracy 0.66 8856813
macro avg 0.68 0.62 0.61 8856813
weighted avg 0.67 0.66 0.63 8856813
Accuracy: 0.658861601797396
20-40%
precision recall f1-score support
0 0.42 0.84 0.56 2995598
1 0.81 0.37 0.51 5583215
accuracy 0.53 8578813
macro avg 0.61 0.60 0.53 8578813
weighted avg 0.67 0.53 0.52 8578813
Accuracy: 0.5332129281754947
precision recall f1-score support
0 0.74 0.93 0.83 21029926
1 0.74 0.36 0.48 10666875
accuracy 0.74 31696801
macro avg 0.74 0.65 0.65 31696801
weighted avg 0.74 0.74 0.71 31696801
Accuracy: 0.7405322070198819
40-80%
precision recall f1-score support
0 0.25 0.80 0.38 1295061
1 0.88 0.37 0.52 5001564
accuracy 0.46 6296625
macro avg 0.56 0.59 0.45 6296625
weighted avg 0.75 0.46 0.49 6296625
Accuracy: 0.45825088837273936
precision recall f1-score support
0 0.67 0.93 0.78 22324987
1 0.78 0.36 0.49 15668439
accuracy 0.69 37993426
macro avg 0.73 0.64 0.64 37993426
weighted avg 0.72 0.69 0.66 37993426
Accuracy: 0.6937499134718728
80-90%
precision recall f1-score support
0 0.18 0.79 0.29 117971
1 0.91 0.36 0.52 692761
accuracy 0.43 810732
macro avg 0.54 0.58 0.40 810732
weighted avg 0.80 0.43 0.49 810732
Accuracy: 0.4263936787989126
90-100%
precision recall f1-score support
0 0.16 0.79 0.27 88944
1 0.92 0.36 0.52 577496
accuracy 0.42 666440
macro avg 0.54 0.58 0.39 666440
weighted avg 0.82 0.42 0.49 666440
Accuracy: 0.42081657763639635
LR_8_decay_vtime_w_0_75
0.01
Treshold: 0.5
All
precision recall f1-score support
0 0.63 0.84 0.72 28055468
1 0.64 0.36 0.46 21729815
accuracy 0.63 49785283
macro avg 0.63 0.60 0.59 49785283
weighted avg 0.63 0.63 0.60 49785283
Accuracy: 0.6298674650498622
precision recall f1-score support
0 0.63 0.84 0.72 28055468
1 0.64 0.36 0.46 21729815
accuracy 0.63 49785283
macro avg 0.63 0.60 0.59 49785283
weighted avg 0.63 0.63 0.60 49785283
Accuracy: 0.6298674650498622
0-1%
precision recall f1-score support
0 0.68 0.84 0.75 27764588
1 0.58 0.35 0.43 17098553
accuracy 0.66 44863141
macro avg 0.63 0.60 0.59 44863141
weighted avg 0.64 0.66 0.63 44863141
Accuracy: 0.6552110562209632
precision recall f1-score support
0 0.68 0.84 0.75 27764588
1 0.58 0.35 0.43 17098553
accuracy 0.66 44863141
macro avg 0.63 0.60 0.59 44863141
weighted avg 0.64 0.66 0.63 44863141
Accuracy: 0.6552110562209632
1-10%
precision recall f1-score support
0 0.07 0.63 0.12 287564
1 0.94 0.38 0.55 4164787
accuracy 0.40 4452351
macro avg 0.50 0.51 0.33 4452351
weighted avg 0.88 0.40 0.52 4452351
Accuracy: 0.39994488305167314
precision recall f1-score support
0 0.63 0.84 0.72 28052152
1 0.63 0.35 0.45 21263340
accuracy 0.63 49315492
macro avg 0.63 0.60 0.59 49315492
weighted avg 0.63 0.63 0.61 49315492
Accuracy: 0.6321648580531246
10-20%
precision recall f1-score support
0 0.01 0.61 0.02 2455
1 0.99 0.39 0.56 257616
accuracy 0.39 260071
macro avg 0.50 0.50 0.29 260071
weighted avg 0.98 0.39 0.55 260071
Accuracy: 0.3890283807114211
precision recall f1-score support
0 0.63 0.84 0.72 28054607
1 0.63 0.36 0.46 21520956
accuracy 0.63 49575563
macro avg 0.63 0.60 0.59 49575563
weighted avg 0.63 0.63 0.61 49575563
Accuracy: 0.6308893758806128
20-40%
precision recall f1-score support
0 0.63 0.84 0.72 28055266
1 0.63 0.36 0.46 21651524
accuracy 0.63 49706790
macro avg 0.63 0.60 0.59 49706790
weighted avg 0.63 0.63 0.60 49706790
Accuracy: 0.6302454252225903
precision recall f1-score support
0 0.01 0.65 0.01 659
1 1.00 0.39 0.56 130568
accuracy 0.39 131227
macro avg 0.50 0.52 0.28 131227
weighted avg 0.99 0.39 0.55 131227
Accuracy: 0.3869706691458313
40-80%
precision recall f1-score support
0 0.00 0.63 0.01 169
1 1.00 0.39 0.56 65234
accuracy 0.39 65403
macro avg 0.50 0.51 0.28 65403
weighted avg 0.99 0.39 0.56 65403
Accuracy: 0.3915416724003486
precision recall f1-score support
0 0.63 0.84 0.72 28055435
1 0.64 0.36 0.46 21716758
accuracy 0.63 49772193
macro avg 0.63 0.60 0.59 49772193
weighted avg 0.63 0.63 0.60 49772193
Accuracy: 0.6299317572765982
80-90%
precision recall f1-score support
0 0.00 0.40 0.00 15
1 1.00 0.38 0.55 7371
accuracy 0.38 7386
macro avg 0.50 0.39 0.27 7386
weighted avg 0.99 0.38 0.54 7386
Accuracy: 0.37571080422420794
90-100%
precision recall f1-score support
0 0.00 0.67 0.01 18
1 1.00 0.40 0.57 5686
accuracy 0.40 5704
macro avg 0.50 0.53 0.29 5704
weighted avg 0.99 0.40 0.57 5704
Accuracy: 0.3979663394109397
0.1
Treshold: 0.5
All
precision recall f1-score support
0 0.66 0.78 0.72 26119367
1 0.66 0.52 0.58 21615229
accuracy 0.66 47734596
macro avg 0.66 0.65 0.65 47734596
weighted avg 0.66 0.66 0.66 47734596
Accuracy: 0.6619465890106203
precision recall f1-score support
0 0.66 0.78 0.72 26119367
1 0.66 0.52 0.58 21615229
accuracy 0.66 47734596
macro avg 0.66 0.65 0.65 47734596
weighted avg 0.66 0.66 0.66 47734596
Accuracy: 0.6619465890106203
0-1%
precision recall f1-score support
0 0.98 0.93 0.95 12053010
1 0.21 0.45 0.29 508421
accuracy 0.91 12561431
macro avg 0.59 0.69 0.62 12561431
weighted avg 0.94 0.91 0.93 12561431
Accuracy: 0.9101863473994324
precision recall f1-score support
0 0.98 0.93 0.95 12053010
1 0.21 0.45 0.29 508421
accuracy 0.91 12561431
macro avg 0.59 0.69 0.62 12561431
weighted avg 0.94 0.91 0.93 12561431
Accuracy: 0.9101863473994324
1-10%
precision recall f1-score support
0 0.73 0.79 0.76 25421477
1 0.59 0.51 0.55 14975241
accuracy 0.69 40396718
macro avg 0.66 0.65 0.65 40396718
weighted avg 0.68 0.69 0.68 40396718
Accuracy: 0.6866440486576162
precision recall f1-score support
0 0.56 0.66 0.61 13368467
1 0.62 0.51 0.56 14466820
accuracy 0.59 27835287
macro avg 0.59 0.59 0.58 27835287
weighted avg 0.59 0.59 0.58 27835287
Accuracy: 0.5857645010090968
10-20%
precision recall f1-score support
0 0.14 0.53 0.22 503365
1 0.88 0.53 0.66 3387274
accuracy 0.53 3890639
macro avg 0.51 0.53 0.44 3890639
weighted avg 0.79 0.53 0.60 3890639
Accuracy: 0.5278724137603104
20-40%
precision recall f1-score support
0 0.67 0.78 0.72 26072330
1 0.65 0.52 0.57 20332940
accuracy 0.67 46405270
macro avg 0.66 0.65 0.65 46405270
weighted avg 0.66 0.67 0.66 46405270
Accuracy: 0.6659417992827108
precision recall f1-score support
0 0.08 0.52 0.13 147488
1 0.94 0.52 0.67 1970425
accuracy 0.52 2117913
macro avg 0.51 0.52 0.40 2117913
weighted avg 0.88 0.52 0.64 2117913
Accuracy: 0.5247061612068107
40-80%
precision recall f1-score support
0 0.66 0.78 0.72 26113946
1 0.66 0.52 0.58 21397219
accuracy 0.66 47511165
macro avg 0.66 0.65 0.65 47511165
weighted avg 0.66 0.66 0.66 47511165
Accuracy: 0.6626108831471508
precision recall f1-score support
0 0.04 0.53 0.08 41616
1 0.97 0.52 0.68 1064279
accuracy 0.52 1105895
macro avg 0.50 0.53 0.38 1105895
weighted avg 0.93 0.52 0.66 1105895
Accuracy: 0.5228398717780621
80-90%
precision recall f1-score support
0 0.03 0.54 0.05 3093
1 0.98 0.52 0.68 120943
accuracy 0.52 124036
macro avg 0.50 0.53 0.37 124036
weighted avg 0.95 0.52 0.66 124036
Accuracy: 0.5210987132767906
90-100%
precision recall f1-score support
0 0.03 0.52 0.05 2328
1 0.98 0.52 0.68 97067
accuracy 0.52 99395
macro avg 0.50 0.52 0.36 99395
weighted avg 0.96 0.52 0.66 99395
Accuracy: 0.5201770712812516
0.2
Treshold: 0.5
All
precision recall f1-score support
0 0.68 0.78 0.73 24893266
1 0.68 0.56 0.62 20563095
accuracy 0.68 45456361
macro avg 0.68 0.67 0.67 45456361
weighted avg 0.68 0.68 0.68 45456361
Accuracy: 0.6839017975944005
precision recall f1-score support
0 0.68 0.78 0.73 24893266
1 0.68 0.56 0.62 20563095
accuracy 0.68 45456361
macro avg 0.68 0.67 0.67 45456361
weighted avg 0.68 0.68 0.68 45456361
Accuracy: 0.6839017975944005
0-1%
precision recall f1-score support
0 1.00 0.99 1.00 4873589
1 0.05 0.49 0.09 3872
accuracy 0.99 4877461
macro avg 0.52 0.74 0.54 4877461
weighted avg 1.00 0.99 1.00 4877461
Accuracy: 0.9916634904922869
precision recall f1-score support
0 1.00 0.99 1.00 4873589
1 0.05 0.49 0.09 3872
accuracy 0.99 4877461
macro avg 0.52 0.74 0.54 4877461
weighted avg 1.00 0.99 1.00 4877461
Accuracy: 0.9916634904922869
1-10%
precision recall f1-score support
0 0.83 0.81 0.82 21822692
1 0.52 0.55 0.54 8020644
accuracy 0.74 29843336
macro avg 0.68 0.68 0.68 29843336
weighted avg 0.75 0.74 0.75 29843336
Accuracy: 0.7441914670665505
precision recall f1-score support
0 0.78 0.76 0.77 16949103
1 0.53 0.55 0.54 8016772
accuracy 0.70 24965875
macro avg 0.65 0.66 0.66 24965875
weighted avg 0.70 0.70 0.70 24965875
Accuracy: 0.695844067151662
10-20%
precision recall f1-score support
0 0.76 0.79 0.78 23880186
1 0.61 0.56 0.58 13481800
accuracy 0.71 37361986
macro avg 0.68 0.68 0.68 37361986
weighted avg 0.71 0.71 0.71 37361986
Accuracy: 0.7097432668595294
precision recall f1-score support
0 0.33 0.57 0.42 2057494
1 0.78 0.58 0.66 5461156
accuracy 0.57 7518650
macro avg 0.56 0.57 0.54 7518650
weighted avg 0.66 0.57 0.60 7518650
Accuracy: 0.5730100483464452
20-40%
precision recall f1-score support
0 0.72 0.79 0.75 24625160
1 0.65 0.56 0.61 17542339
accuracy 0.69 42167499
macro avg 0.68 0.67 0.68 42167499
weighted avg 0.69 0.69 0.69 42167499
Accuracy: 0.693459291953739
precision recall f1-score support
0 0.19 0.54 0.28 744974
1 0.87 0.57 0.69 4060539
accuracy 0.57 4805513
macro avg 0.53 0.56 0.48 4805513
weighted avg 0.77 0.57 0.63 4805513
Accuracy: 0.5668543608143397
40-80%
precision recall f1-score support
0 0.69 0.78 0.73 24861069
1 0.68 0.56 0.62 20026114
accuracy 0.69 44887183
macro avg 0.68 0.67 0.67 44887183
weighted avg 0.68 0.69 0.68 44887183
Accuracy: 0.6854920479193359
precision recall f1-score support
0 0.10 0.54 0.17 235909
1 0.93 0.56 0.70 2483775
accuracy 0.56 2719684
macro avg 0.52 0.55 0.44 2719684
weighted avg 0.86 0.56 0.66 2719684
Accuracy: 0.5619634486947749
80-90%
precision recall f1-score support
0 0.07 0.54 0.13 18577
1 0.95 0.56 0.70 296772
accuracy 0.56 315349
macro avg 0.51 0.55 0.42 315349
weighted avg 0.90 0.56 0.67 315349
Accuracy: 0.5587174844378767
90-100%
precision recall f1-score support
0 0.06 0.54 0.12 13620
1 0.96 0.56 0.71 240209
accuracy 0.56 253829
macro avg 0.51 0.55 0.41 253829
weighted avg 0.91 0.56 0.67 253829
Accuracy: 0.5582065091065245
0.4
Treshold: 0.5
All
precision recall f1-score support
0 0.72 0.82 0.77 22531902
1 0.71 0.58 0.64 16938696
accuracy 0.72 39470598
macro avg 0.71 0.70 0.70 39470598
weighted avg 0.72 0.72 0.71 39470598
Accuracy: 0.7167018599515518
precision recall f1-score support
0 0.72 0.82 0.77 22531902
1 0.71 0.58 0.64 16938696
accuracy 0.72 39470598
macro avg 0.71 0.70 0.70 39470598
weighted avg 0.72 0.72 0.71 39470598
Accuracy: 0.7167018599515518
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: 0.9999961290297606
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: 0.9999961290297606
1-10%
precision recall f1-score support
0 0.95 0.91 0.93 12989887
1 0.37 0.54 0.44 1271288
accuracy 0.88 14261175
macro avg 0.66 0.72 0.69 14261175
weighted avg 0.90 0.88 0.89 14261175
Accuracy: 0.8781143208746824
precision recall f1-score support
0 0.95 0.90 0.92 11439888
1 0.37 0.54 0.44 1271288
accuracy 0.86 12711176
macro avg 0.66 0.72 0.68 12711176
weighted avg 0.89 0.86 0.87 12711176
Accuracy: 0.8632520704614585
10-20%
precision recall f1-score support
0 0.87 0.86 0.87 18034328
1 0.53 0.56 0.55 5083660
accuracy 0.80 23117988
macro avg 0.70 0.71 0.71 23117988
weighted avg 0.80 0.80 0.80 23117988
Accuracy: 0.7950830755686871
precision recall f1-score support
0 0.69 0.73 0.71 5044441
1 0.61 0.57 0.59 3812372
accuracy 0.66 8856813
macro avg 0.65 0.65 0.65 8856813
weighted avg 0.66 0.66 0.66 8856813
Accuracy: 0.66138677648495
20-40%
precision recall f1-score support
0 0.47 0.67 0.55 2995598
1 0.77 0.59 0.67 5583215
accuracy 0.62 8578813
macro avg 0.62 0.63 0.61 8578813
weighted avg 0.66 0.62 0.62 8578813
Accuracy: 0.6159593407619446
40-80%
precision recall f1-score support
0 0.29 0.64 0.39 1295061
1 0.86 0.59 0.70 5001564
accuracy 0.60 6296625
macro avg 0.57 0.61 0.55 6296625
weighted avg 0.74 0.60 0.64 6296625
Accuracy: 0.5965498977626903
precision recall f1-score support
0 0.74 0.82 0.78 22324987
1 0.70 0.58 0.63 15668439
accuracy 0.72 37993426
macro avg 0.72 0.70 0.70 37993426
weighted avg 0.72 0.72 0.72 37993426
Accuracy: 0.7217346495680594
80-90%
precision recall f1-score support
0 0.20 0.63 0.31 117971
1 0.90 0.58 0.71 692761
accuracy 0.59 810732
macro avg 0.55 0.61 0.51 810732
weighted avg 0.80 0.59 0.65 810732
Accuracy: 0.5877725314900608
90-100%
precision recall f1-score support
0 0.19 0.63 0.29 88944
1 0.91 0.58 0.71 577496
accuracy 0.59 666440
macro avg 0.55 0.61 0.50 666440
weighted avg 0.81 0.59 0.65 666440
Accuracy: 0.586628953844307
LR_9_decay_rtime
0.01
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 0.00 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
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
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 0.00 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
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
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
0.1
Treshold: 0.5
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
0.2
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: 0.6798581611053292
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
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 0.90 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
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
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
0.4
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 0.52 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
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
40-80%
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
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
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
LR_9_decay_rtime_w_0_5
0.01
Treshold: 0.5
All
precision recall f1-score support
0 0.75 0.87 0.81 28055468
1 0.79 0.64 0.70 21729815
accuracy 0.77 49785283
macro avg 0.77 0.75 0.75 49785283
weighted avg 0.77 0.77 0.76 49785283
Accuracy: 0.7658449184671703
precision recall f1-score support
0 0.75 0.87 0.81 28055468
1 0.79 0.64 0.70 21729815
accuracy 0.77 49785283
macro avg 0.77 0.75 0.75 49785283
weighted avg 0.77 0.77 0.76 49785283
Accuracy: 0.7658449385534275
0-1%
precision recall f1-score support
0 0.75 0.88 0.81 27764588
1 0.73 0.54 0.62 17098553
accuracy 0.75 44863141
macro avg 0.74 0.71 0.71 44863141
weighted avg 0.74 0.75 0.74 44863141
Accuracy: 0.7467607094206801
precision recall f1-score support
0 0.75 0.88 0.81 27764588
1 0.73 0.54 0.62 17098553
accuracy 0.75 44863141
macro avg 0.74 0.71 0.71 44863141
weighted avg 0.74 0.75 0.74 44863141
Accuracy: 0.746760687130667
1-10%
precision recall f1-score support
0 0.14 0.00 0.01 287564
1 0.94 1.00 0.97 4164787
accuracy 0.93 4452351
macro avg 0.54 0.50 0.49 4452351
weighted avg 0.88 0.93 0.90 4452351
Accuracy: 0.9341803914381414
10-20%
precision recall f1-score support
0 0.43 0.01 0.02 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.71 0.51 0.51 260071
weighted avg 0.99 0.99 0.99 260071
Accuracy: 0.9905218190417232
precision recall f1-score support
0 0.75 0.87 0.81 28054607
1 0.78 0.63 0.70 21520956
accuracy 0.76 49575563
macro avg 0.77 0.75 0.75 49575563
weighted avg 0.77 0.76 0.76 49575563
Accuracy: 0.7648714952566449
20-40%
precision recall f1-score support
0 0.75 0.87 0.81 28055266
1 0.79 0.63 0.70 21651524
accuracy 0.77 49706790
macro avg 0.77 0.75 0.75 49706790
weighted avg 0.77 0.77 0.76 49706790
Accuracy: 0.7654791025531924
precision recall f1-score support
0 0.62 0.02 0.05 659
1 1.00 1.00 1.00 130568
accuracy 1.00 131227
macro avg 0.81 0.51 0.52 131227
weighted avg 0.99 1.00 0.99 131227
Accuracy: 0.9950238899007064
40-80%
precision recall f1-score support
0 0.62 0.05 0.09 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.81 0.52 0.54 65403
weighted avg 1.00 1.00 1.00 65403
Accuracy: 0.9974618901273642
precision recall f1-score support
0 0.75 0.87 0.81 28055435
1 0.79 0.64 0.70 21716758
accuracy 0.77 49772193
macro avg 0.77 0.75 0.75 49772193
weighted avg 0.77 0.77 0.76 49772193
Accuracy: 0.7657839388350841
80-90%
precision recall f1-score support
0 1.00 0.07 0.12 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 1.00 0.53 0.56 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9981045220687788
90-100%
precision recall f1-score support
0 1.00 0.11 0.20 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 1.00 0.56 0.60 5704
weighted avg 1.00 1.00 1.00 5704
Accuracy: 0.9971949509116409
0.1
Treshold: 0.5
All
precision recall f1-score support
0 0.68 0.85 0.76 26119367
1 0.74 0.53 0.61 21615229
accuracy 0.70 47734596
macro avg 0.71 0.69 0.68 47734596
weighted avg 0.71 0.70 0.69 47734596
Accuracy: 0.7003930231231034
precision recall f1-score support
0 0.68 0.85 0.76 26119367
1 0.74 0.53 0.61 21615229
accuracy 0.70 47734596
macro avg 0.71 0.69 0.68 47734596
weighted avg 0.71 0.70 0.69 47734596
Accuracy: 0.7003930231231034
0-1%
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.25 0.05 0.09 508421
accuracy 0.96 12561431
macro avg 0.60 0.52 0.53 12561431
weighted avg 0.93 0.96 0.94 12561431
Accuracy: 0.9552381412595428
1-10%
precision recall f1-score support
0 0.73 0.86 0.79 25421477
1 0.65 0.45 0.53 14975241
accuracy 0.71 40396718
macro avg 0.69 0.65 0.66 40396718
weighted avg 0.70 0.71 0.69 40396718
Accuracy: 0.7061913792105586
precision recall f1-score support
0 0.56 0.74 0.64 13368467
1 0.65 0.46 0.54 14466820
accuracy 0.59 27835287
macro avg 0.61 0.60 0.59 27835287
weighted avg 0.61 0.59 0.59 27835287
Accuracy: 0.5938022841294937
10-20%
precision recall f1-score support
0 0.70 0.85 0.77 25924842
1 0.70 0.49 0.58 18362515
accuracy 0.70 44287357
macro avg 0.70 0.67 0.67 44287357
weighted avg 0.70 0.70 0.69 44287357
Accuracy: 0.7004582820329514
precision recall f1-score support
0 0.15 0.38 0.21 503365
1 0.88 0.68 0.77 3387274
accuracy 0.64 3890639
macro avg 0.51 0.53 0.49 3890639
weighted avg 0.79 0.64 0.70 3890639
Accuracy: 0.6409312197816348
20-40%
precision recall f1-score support
0 0.69 0.85 0.76 26072330
1 0.72 0.51 0.60 20332940
accuracy 0.70 46405270
macro avg 0.71 0.68 0.68 46405270
weighted avg 0.70 0.70 0.69 46405270
Accuracy: 0.6999049892393687
precision recall f1-score support
0 0.08 0.34 0.13 147488
1 0.94 0.71 0.81 1970425
accuracy 0.69 2117913
macro avg 0.51 0.53 0.47 2117913
weighted avg 0.88 0.69 0.76 2117913
Accuracy: 0.6883351676863025
40-80%
precision recall f1-score support
0 0.68 0.85 0.76 26113946
1 0.73 0.52 0.61 21397219
accuracy 0.70 47511165
macro avg 0.71 0.68 0.68 47511165
weighted avg 0.71 0.70 0.69 47511165
Accuracy: 0.700270220694441
precision recall f1-score support
0 0.04 0.32 0.08 41616
1 0.96 0.73 0.83 1064279
accuracy 0.72 1105895
macro avg 0.50 0.53 0.45 1105895
weighted avg 0.93 0.72 0.80 1105895
Accuracy: 0.7155959652589079
80-90%
precision recall f1-score support
0 0.03 0.31 0.05 3093
1 0.98 0.74 0.84 120943
accuracy 0.73 124036
macro avg 0.50 0.53 0.45 124036
weighted avg 0.95 0.73 0.82 124036
Accuracy: 0.7254426134348092
90-100%
precision recall f1-score support
0 0.03 0.30 0.05 2328
1 0.98 0.74 0.84 97067
accuracy 0.73 99395
macro avg 0.50 0.52 0.44 99395
weighted avg 0.96 0.73 0.82 99395
Accuracy: 0.7278233311534785
0.2
Treshold: 0.5
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: 0.5476132152329571
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: 0.5476132152329571
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 0.73 1.00 0.84 21822692
1 0.11 0.00 0.00 8020644
accuracy 0.73 29843336
macro avg 0.42 0.50 0.42 29843336
weighted avg 0.56 0.73 0.62 29843336
Accuracy: 0.7312274003147637
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: 0.6788739028774277
10-20%
precision recall f1-score support
0 0.64 1.00 0.78 23880186
1 0.13 0.00 0.00 13481800
accuracy 0.64 37361986
macro avg 0.38 0.50 0.39 37361986
weighted avg 0.45 0.64 0.50 37361986
Accuracy: 0.6391422822116576
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: 0.2736342295491877
20-40%
precision recall f1-score support
0 0.58 1.00 0.74 24625160
1 0.13 0.00 0.00 17542339
accuracy 0.58 42167499
macro avg 0.36 0.50 0.37 42167499
weighted avg 0.39 0.58 0.43 42167499
Accuracy: 0.5839684255402484
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.13 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.14 0.50 0.13 4805513
weighted avg 0.14 0.16 0.04 4805513
Accuracy: 0.15500176568037585
40-80%
precision recall f1-score support
0 0.55 1.00 0.71 24861069
1 0.12 0.00 0.00 20026114
accuracy 0.55 44887183
macro avg 0.34 0.50 0.36 44887183
weighted avg 0.36 0.55 0.39 44887183
Accuracy: 0.553840146306352
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.04 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.06 0.50 0.08 2719684
weighted avg 0.04 0.09 0.01 2719684
Accuracy: 0.08671448594763215
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: 0.05888396665281957
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.15 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.10 0.50 0.05 253829
weighted avg 0.15 0.05 0.01 253829
Accuracy: 0.053622714504646826
0.4
Treshold: 0.5
All
precision recall f1-score support
0 0.66 0.93 0.77 22531902
1 0.79 0.36 0.49 16938696
accuracy 0.68 39470598
macro avg 0.72 0.64 0.63 39470598
weighted avg 0.71 0.68 0.65 39470598
Accuracy: 0.6835438621933217
precision recall f1-score support
0 0.66 0.93 0.77 22531902
1 0.79 0.36 0.49 16938696
accuracy 0.68 39470598
macro avg 0.72 0.64 0.63 39470598
weighted avg 0.71 0.68 0.65 39470598
Accuracy: 0.6835438621933217
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
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 0.94 0.97 0.95 12989887
1 0.55 0.32 0.40 1271288
accuracy 0.92 14261175
macro avg 0.74 0.65 0.68 14261175
weighted avg 0.90 0.92 0.91 14261175
Accuracy: 0.9159759276497204
precision recall f1-score support
0 0.93 0.97 0.95 11439888
1 0.55 0.32 0.40 1271288
accuracy 0.91 12711176
macro avg 0.74 0.64 0.68 12711176
weighted avg 0.89 0.91 0.89 12711176
Accuracy: 0.905730044175299
10-20%
precision recall f1-score support
0 0.84 0.95 0.89 18034328
1 0.66 0.34 0.45 5083660
accuracy 0.82 23117988
macro avg 0.75 0.65 0.67 23117988
weighted avg 0.80 0.82 0.79 23117988
Accuracy: 0.8174393463652633
precision recall f1-score support
0 0.65 0.89 0.75 5044441
1 0.71 0.35 0.47 3812372
accuracy 0.66 8856813
macro avg 0.68 0.62 0.61 8856813
weighted avg 0.67 0.66 0.63 8856813
Accuracy: 0.6587764695946499
20-40%
precision recall f1-score support
0 0.42 0.84 0.56 2995598
1 0.81 0.37 0.51 5583215
accuracy 0.53 8578813
macro avg 0.61 0.60 0.53 8578813
weighted avg 0.67 0.53 0.52 8578813
Accuracy: 0.5330247902594449
precision recall f1-score support
0 0.74 0.93 0.83 21029926
1 0.74 0.36 0.48 10666875
accuracy 0.74 31696801
macro avg 0.74 0.65 0.65 31696801
weighted avg 0.74 0.74 0.71 31696801
Accuracy: 0.7404618844658803
40-80%
precision recall f1-score support
0 0.25 0.80 0.38 1295061
1 0.88 0.37 0.52 5001564
accuracy 0.46 6296625
macro avg 0.56 0.59 0.45 6296625
weighted avg 0.75 0.46 0.49 6296625
Accuracy: 0.45800663053619994
precision recall f1-score support
0 0.67 0.93 0.78 22324987
1 0.78 0.36 0.49 15668439
accuracy 0.69 37993426
macro avg 0.73 0.64 0.64 37993426
weighted avg 0.72 0.69 0.66 37993426
Accuracy: 0.6936507647401948
80-90%
precision recall f1-score support
0 0.18 0.79 0.29 117971
1 0.91 0.36 0.52 692761
accuracy 0.43 810732
macro avg 0.54 0.58 0.40 810732
weighted avg 0.80 0.43 0.49 810732
Accuracy: 0.4261025838378157
90-100%
precision recall f1-score support
0 0.16 0.79 0.27 88944
1 0.92 0.36 0.52 577496
accuracy 0.42 666440
macro avg 0.54 0.58 0.39 666440
weighted avg 0.82 0.42 0.49 666440
Accuracy: 0.4205344817237861
LR_9_decay_rtime_w_0_75
0.01
Treshold: 0.5
All
precision recall f1-score support
0 0.81 0.79 0.80 28055468
1 0.74 0.76 0.75 21729815
accuracy 0.78 49785283
macro avg 0.77 0.78 0.77 49785283
weighted avg 0.78 0.78 0.78 49785283
Accuracy: 0.7774621467954697
precision recall f1-score support
0 0.81 0.79 0.80 28055468
1 0.74 0.76 0.75 21729815
accuracy 0.78 49785283
macro avg 0.77 0.78 0.77 49785283
weighted avg 0.78 0.78 0.78 49785283
Accuracy: 0.7774621467954697
0-1%
precision recall f1-score support
0 0.81 0.80 0.80 27764588
1 0.68 0.70 0.69 17098553
accuracy 0.76 44863141
macro avg 0.75 0.75 0.75 44863141
weighted avg 0.76 0.76 0.76 44863141
Accuracy: 0.7595344918002955
precision recall f1-score support
0 0.81 0.80 0.80 27764588
1 0.68 0.70 0.69 17098553
accuracy 0.76 44863141
macro avg 0.75 0.75 0.75 44863141
weighted avg 0.76 0.76 0.76 44863141
Accuracy: 0.7595344918002955
1-10%
precision recall f1-score support
0 0.21 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.57 0.50 0.48 4452351
weighted avg 0.89 0.94 0.90 4452351
Accuracy: 0.9353698753759531
precision recall f1-score support
0 0.81 0.79 0.80 28052152
1 0.73 0.76 0.74 21263340
accuracy 0.78 49315492
macro avg 0.77 0.77 0.77 49315492
weighted avg 0.78 0.78 0.78 49315492
Accuracy: 0.7754094392893819
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
precision recall f1-score support
0 0.81 0.79 0.80 28054607
1 0.73 0.76 0.75 21520956
accuracy 0.78 49575563
macro avg 0.77 0.77 0.77 49575563
weighted avg 0.78 0.78 0.78 49575563
Accuracy: 0.7765381101168735
20-40%
precision recall f1-score support
0 0.81 0.79 0.80 28055266
1 0.74 0.76 0.75 21651524
accuracy 0.78 49706790
macro avg 0.77 0.78 0.77 49706790
weighted avg 0.78 0.78 0.78 49706790
Accuracy: 0.777114796590164
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
precision recall f1-score support
0 0.81 0.79 0.80 28055435
1 0.74 0.76 0.75 21716758
accuracy 0.78 49772193
macro avg 0.77 0.78 0.77 49772193
weighted avg 0.78 0.78 0.78 49772193
Accuracy: 0.7774042827488031
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
0.1
Treshold: 0.5
All
precision recall f1-score support
0 0.79 0.73 0.76 26119367
1 0.70 0.76 0.73 21615229
accuracy 0.75 47734596
macro avg 0.75 0.75 0.75 47734596
weighted avg 0.75 0.75 0.75 47734596
Accuracy: 0.7469020163069988
precision recall f1-score support
0 0.79 0.73 0.76 26119367
1 0.70 0.76 0.73 21615229
accuracy 0.75 47734596
macro avg 0.75 0.75 0.75 47734596
weighted avg 0.75 0.75 0.75 47734596
Accuracy: 0.7469020372561653
0-1%
precision recall f1-score support
0 0.96 0.98 0.97 12053010
1 0.22 0.13 0.16 508421
accuracy 0.95 12561431
macro avg 0.59 0.56 0.57 12561431
weighted avg 0.93 0.95 0.94 12561431
Accuracy: 0.9464193211744745
precision recall f1-score support
0 0.96 0.98 0.97 12053010
1 0.22 0.13 0.16 508421
accuracy 0.95 12561431
macro avg 0.59 0.56 0.57 12561431
weighted avg 0.93 0.95 0.94 12561431
Accuracy: 0.9464193211744745
1-10%
precision recall f1-score support
0 0.80 0.75 0.77 25421477
1 0.62 0.68 0.65 14975241
accuracy 0.72 40396718
macro avg 0.71 0.72 0.71 40396718
weighted avg 0.73 0.72 0.73 40396718
Accuracy: 0.7246658008207498
precision recall f1-score support
0 0.63 0.54 0.58 13368467
1 0.62 0.70 0.66 14466820
accuracy 0.62 27835287
macro avg 0.62 0.62 0.62 27835287
weighted avg 0.62 0.62 0.62 27835287
Accuracy: 0.6245934521889428
10-20%
precision recall f1-score support
0 0.79 0.74 0.76 25924842
1 0.66 0.73 0.69 18362515
accuracy 0.73 44287357
macro avg 0.73 0.73 0.73 44287357
weighted avg 0.74 0.73 0.73 44287357
Accuracy: 0.7333267370188743
precision recall f1-score support
0 0.15 0.08 0.11 503365
1 0.87 0.93 0.90 3387274
accuracy 0.82 3890639
macro avg 0.51 0.51 0.50 3890639
weighted avg 0.78 0.82 0.80 3890639
Accuracy: 0.8232537123079268
20-40%
precision recall f1-score support
0 0.79 0.73 0.76 26072330
1 0.69 0.75 0.72 20332940
accuracy 0.74 46405270
macro avg 0.74 0.74 0.74 46405270
weighted avg 0.75 0.74 0.74 46405270
Accuracy: 0.7410568023847292
precision recall f1-score support
0 0.08 0.04 0.05 147488
1 0.93 0.97 0.95 1970425
accuracy 0.90 2117913
macro avg 0.51 0.50 0.50 2117913
weighted avg 0.87 0.90 0.89 2117913
Accuracy: 0.9026990249363407
40-80%
precision recall f1-score support
0 0.79 0.73 0.76 26113946
1 0.70 0.76 0.73 21397219
accuracy 0.75 47511165
macro avg 0.74 0.75 0.74 47511165
weighted avg 0.75 0.75 0.75 47511165
Accuracy: 0.7458686605558925
precision recall f1-score support
0 0.05 0.02 0.03 41616
1 0.96 0.98 0.97 1064279
accuracy 0.95 1105895
macro avg 0.50 0.50 0.50 1105895
weighted avg 0.93 0.95 0.94 1105895
Accuracy: 0.9477825652525782
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: 0.9653810184140088
90-100%
precision recall f1-score support
0 0.02 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: 0.9682177171889934
0.2
Treshold: 0.5
All
precision recall f1-score support
0 0.75 0.72 0.74 24893266
1 0.68 0.71 0.69 20563095
accuracy 0.72 45456361
macro avg 0.71 0.72 0.71 45456361
weighted avg 0.72 0.72 0.72 45456361
Accuracy: 0.7164893819811049
precision recall f1-score support
0 0.75 0.72 0.74 24893266
1 0.68 0.71 0.69 20563095
accuracy 0.72 45456361
macro avg 0.71 0.72 0.71 45456361
weighted avg 0.72 0.72 0.72 45456361
Accuracy: 0.7164894259793475
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.04 0.06 0.05 3872
accuracy 1.00 4877461
macro avg 0.52 0.53 0.52 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.997983171982308
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.04 0.06 0.05 3872
accuracy 1.00 4877461
macro avg 0.52 0.53 0.52 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.997983171982308
1-10%
precision recall f1-score support
0 0.84 0.77 0.81 21822692
1 0.50 0.61 0.55 8020644
accuracy 0.73 29843336
macro avg 0.67 0.69 0.68 29843336
weighted avg 0.75 0.73 0.74 29843336
Accuracy: 0.7289951766786394
precision recall f1-score support
0 0.79 0.71 0.75 16949103
1 0.50 0.61 0.55 8016772
accuracy 0.68 24965875
macro avg 0.64 0.66 0.65 24965875
weighted avg 0.70 0.68 0.68 24965875
Accuracy: 0.676444306478343
10-20%
precision recall f1-score support
0 0.80 0.74 0.77 23880186
1 0.59 0.67 0.63 13481800
accuracy 0.71 37361986
macro avg 0.69 0.70 0.70 37361986
weighted avg 0.72 0.71 0.72 37361986
Accuracy: 0.7126612594951457
precision recall f1-score support
0 0.36 0.37 0.36 2057494
1 0.76 0.75 0.76 5461156
accuracy 0.65 7518650
macro avg 0.56 0.56 0.56 7518650
weighted avg 0.65 0.65 0.65 7518650
Accuracy: 0.6478280010374203
20-40%
precision recall f1-score support
0 0.77 0.73 0.75 24625160
1 0.64 0.69 0.67 17542339
accuracy 0.71 42167499
macro avg 0.71 0.71 0.71 42167499
weighted avg 0.72 0.71 0.71 42167499
Accuracy: 0.7129064021558404
precision recall f1-score support
0 0.22 0.32 0.26 744974
1 0.86 0.79 0.82 4060539
accuracy 0.71 4805513
macro avg 0.54 0.55 0.54 4805513
weighted avg 0.76 0.71 0.74 4805513
Accuracy: 0.7148123415751867
40-80%
precision recall f1-score support
0 0.75 0.72 0.74 24861069
1 0.67 0.71 0.69 20026114
accuracy 0.72 44887183
macro avg 0.71 0.71 0.71 44887183
weighted avg 0.72 0.72 0.72 44887183
Accuracy: 0.715699312206783
precision recall f1-score support
0 0.13 0.30 0.18 235909
1 0.92 0.80 0.86 2483775
accuracy 0.76 2719684
macro avg 0.52 0.55 0.52 2719684
weighted avg 0.85 0.76 0.80 2719684
Accuracy: 0.7590021487790494
80-90%
precision recall f1-score support
0 0.09 0.29 0.13 18577
1 0.95 0.81 0.87 296772
accuracy 0.78 315349
macro avg 0.52 0.55 0.50 315349
weighted avg 0.90 0.78 0.83 315349
Accuracy: 0.7766760002410028
90-100%
precision recall f1-score support
0 0.08 0.30 0.13 13620
1 0.95 0.81 0.88 240209
accuracy 0.78 253829
macro avg 0.52 0.55 0.50 253829
weighted avg 0.91 0.78 0.83 253829
Accuracy: 0.7814394730310563
0.4
Treshold: 0.5
All
precision recall f1-score support
0 0.72 0.82 0.77 22531902
1 0.71 0.58 0.64 16938696
accuracy 0.72 39470598
macro avg 0.71 0.70 0.70 39470598
weighted avg 0.72 0.72 0.71 39470598
Accuracy: 0.7166788554863041
precision recall f1-score support
0 0.72 0.82 0.77 22531902
1 0.71 0.58 0.64 16938696
accuracy 0.72 39470598
macro avg 0.71 0.70 0.70 39470598
weighted avg 0.72 0.72 0.71 39470598
Accuracy: 0.7166788554863041
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: 0.9999961290297606
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: 0.9999961290297606
1-10%
precision recall f1-score support
0 0.95 0.91 0.93 12989887
1 0.37 0.54 0.44 1271288
accuracy 0.88 14261175
macro avg 0.66 0.72 0.69 14261175
weighted avg 0.90 0.88 0.89 14261175
Accuracy: 0.8781928557780126
precision recall f1-score support
0 0.95 0.90 0.92 11439888
1 0.37 0.54 0.44 1271288
accuracy 0.86 12711176
macro avg 0.66 0.72 0.68 12711176
weighted avg 0.89 0.86 0.87 12711176
Accuracy: 0.8633401818997707
10-20%
precision recall f1-score support
0 0.87 0.86 0.87 18034328
1 0.53 0.56 0.55 5083660
accuracy 0.80 23117988
macro avg 0.70 0.71 0.71 23117988
weighted avg 0.80 0.80 0.80 23117988
Accuracy: 0.7951380544016201
precision recall f1-score support
0 0.69 0.73 0.71 5044441
1 0.61 0.57 0.59 3812372
accuracy 0.66 8856813
macro avg 0.65 0.65 0.65 8856813
weighted avg 0.66 0.66 0.66 8856813
Accuracy: 0.6614038255069854
20-40%
precision recall f1-score support
0 0.47 0.67 0.55 2995598
1 0.77 0.59 0.67 5583215
accuracy 0.62 8578813
macro avg 0.62 0.63 0.61 8578813
weighted avg 0.66 0.62 0.62 8578813
Accuracy: 0.6158679528275065
40-80%
precision recall f1-score support
0 0.29 0.64 0.39 1295061
1 0.86 0.59 0.70 5001564
accuracy 0.60 6296625
macro avg 0.57 0.61 0.55 6296625
weighted avg 0.74 0.60 0.64 6296625
Accuracy: 0.5963771067833958
precision recall f1-score support
0 0.74 0.82 0.78 22324987
1 0.70 0.58 0.63 15668439
accuracy 0.72 37993426
macro avg 0.72 0.70 0.70 37993426
weighted avg 0.72 0.72 0.72 37993426
Accuracy: 0.7217188310419808
80-90%
precision recall f1-score support
0 0.20 0.63 0.31 117971
1 0.90 0.58 0.71 692761
accuracy 0.59 810732
macro avg 0.55 0.61 0.51 810732
weighted avg 0.80 0.59 0.65 810732
Accuracy: 0.5875665448014881
90-100%
precision recall f1-score support
0 0.19 0.63 0.29 88944
1 0.91 0.58 0.71 577496
accuracy 0.59 666440
macro avg 0.55 0.61 0.50 666440
weighted avg 0.81 0.59 0.65 666440
Accuracy: 0.5864188824200228
LR_9_decay_vtime
0.01
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 0.01 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
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
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
0.1
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
0.2
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 0.88 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
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
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 0.76 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
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
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
0.4
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 0.52 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
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
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: 0.7069112421336827
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
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
LR_9_decay_vtime_w_0_5
0.01
Treshold: 0.5
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
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
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
precision recall f1-score support
0 0.57 1.00 0.73 28052152
1 0.00 0.00 0.00 21263340
accuracy 0.57 49315492
macro avg 0.28 0.50 0.36 49315492
weighted avg 0.32 0.57 0.41 49315492
Accuracy: 0.568830419455209
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
precision recall f1-score support
0 0.57 1.00 0.72 28054607
1 0.00 0.00 0.00 21520956
accuracy 0.57 49575563
macro avg 0.28 0.50 0.36 49575563
weighted avg 0.32 0.57 0.41 49575563
Accuracy: 0.5658958830180103
20-40%
precision recall f1-score support
0 0.56 1.00 0.72 28055266
1 0.00 0.00 0.00 21651524
accuracy 0.56 49706790
macro avg 0.28 0.50 0.36 49706790
weighted avg 0.32 0.56 0.41 49706790
Accuracy: 0.5644151634012174
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
precision recall f1-score support
0 0.56 1.00 0.72 28055435
1 0.00 0.00 0.00 21716758
accuracy 0.56 49772193
macro avg 0.28 0.50 0.36 49772193
weighted avg 0.32 0.56 0.41 49772193
Accuracy: 0.5636768908293834
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: 0.5
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: 0.5914927194523654
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: 0.5914927194523654
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: 0.9571873618539162
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: 0.9571873618539162
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: 0.5207089116774689
10-20%
precision recall f1-score support
0 0.61 0.95 0.75 25924842
1 0.69 0.16 0.25 18362515
accuracy 0.62 44287357
macro avg 0.65 0.55 0.50 44287357
weighted avg 0.65 0.62 0.54 44287357
Accuracy: 0.6213051503615354
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: 0.25657430566032985
20-40%
precision recall f1-score support
0 0.59 0.95 0.73 26072330
1 0.71 0.16 0.26 20332940
accuracy 0.60 46405270
macro avg 0.65 0.55 0.49 46405270
weighted avg 0.64 0.60 0.52 46405270
Accuracy: 0.602869501675133
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: 0.21736445264748835
40-80%
precision recall f1-score support
0 0.58 0.95 0.72 26113946
1 0.72 0.16 0.26 21397219
accuracy 0.59 47511165
macro avg 0.65 0.55 0.49 47511165
weighted avg 0.64 0.59 0.51 47511165
Accuracy: 0.5933936370535221
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: 0.19576994199268466
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: 0.18908220194137185
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: 0.1850193671713869
0.2
Treshold: 0.5
All
precision recall f1-score support
0 0.60 0.93 0.73 24893266
1 0.74 0.26 0.39 20563095
accuracy 0.62 45456361
macro avg 0.67 0.59 0.56 45456361
weighted avg 0.67 0.62 0.57 45456361
Accuracy: 0.6248361367950241
precision recall f1-score support
0 0.60 0.93 0.73 24893266
1 0.74 0.26 0.39 20563095
accuracy 0.62 45456361
macro avg 0.67 0.59 0.56 45456361
weighted avg 0.67 0.62 0.57 45456361
Accuracy: 0.6248361367950241
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.24 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: 0.9988487862845034
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.24 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: 0.9988487862845034
1-10%
precision recall f1-score support
0 0.77 0.94 0.85 21822692
1 0.62 0.25 0.35 8020644
accuracy 0.76 29843336
macro avg 0.69 0.60 0.60 29843336
weighted avg 0.73 0.76 0.72 29843336
Accuracy: 0.756366010823991
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 0.67 24965875
Accuracy: 0.7089933359035083
10-20%
precision recall f1-score support
0 0.69 0.93 0.79 23880186
1 0.68 0.26 0.37 13481800
accuracy 0.69 37361986
macro avg 0.68 0.59 0.58 37361986
weighted avg 0.69 0.69 0.64 37361986
Accuracy: 0.6877995190084382
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 0.42 7518650
weighted avg 0.65 0.42 0.41 7518650
Accuracy: 0.4156425688122203
20-40%
precision recall f1-score support
0 0.64 0.93 0.76 24625160
1 0.72 0.26 0.38 17542339
accuracy 0.65 42167499
macro avg 0.68 0.59 0.57 42167499
weighted avg 0.67 0.65 0.60 42167499
Accuracy: 0.6493133728419606
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: 0.35009061467526986
40-80%
precision recall f1-score support
0 0.61 0.93 0.73 24861069
1 0.74 0.26 0.39 20026114
accuracy 0.63 44887183
macro avg 0.67 0.59 0.56 44887183
weighted avg 0.67 0.63 0.58 44887183
Accuracy: 0.6289949850495185
precision recall f1-score support
0 0.09 0.78 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 0.40 2719684
Accuracy: 0.31396735797247033
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: 0.29791437423299266
90-100%
precision recall f1-score support
0 0.06 0.79 0.11 13620
1 0.96 0.27 0.42 240209
accuracy 0.30 253829
macro avg 0.51 0.53 0.26 253829
weighted avg 0.91 0.30 0.40 253829
Accuracy: 0.29554148659136664
0.4
Treshold: 0.5
All
precision recall f1-score support
0 0.66 0.93 0.77 22531902
1 0.79 0.36 0.49 16938696
accuracy 0.68 39470598
macro avg 0.72 0.64 0.63 39470598
weighted avg 0.71 0.68 0.65 39470598
Accuracy: 0.6835438621933217
precision recall f1-score support
0 0.66 0.93 0.77 22531902
1 0.79 0.36 0.49 16938696
accuracy 0.68 39470598
macro avg 0.72 0.64 0.63 39470598
weighted avg 0.71 0.68 0.65 39470598
Accuracy: 0.6835438621933217
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
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 0.94 0.97 0.95 12989887
1 0.55 0.32 0.40 1271288
accuracy 0.92 14261175
macro avg 0.74 0.65 0.68 14261175
weighted avg 0.90 0.92 0.91 14261175
Accuracy: 0.9159759276497204
precision recall f1-score support
0 0.93 0.97 0.95 11439888
1 0.55 0.32 0.40 1271288
accuracy 0.91 12711176
macro avg 0.74 0.64 0.68 12711176
weighted avg 0.89 0.91 0.89 12711176
Accuracy: 0.905730044175299
10-20%
precision recall f1-score support
0 0.84 0.95 0.89 18034328
1 0.66 0.34 0.45 5083660
accuracy 0.82 23117988
macro avg 0.75 0.65 0.67 23117988
weighted avg 0.80 0.82 0.79 23117988
Accuracy: 0.8174393463652633
precision recall f1-score support
0 0.65 0.89 0.75 5044441
1 0.71 0.35 0.47 3812372
accuracy 0.66 8856813
macro avg 0.68 0.62 0.61 8856813
weighted avg 0.67 0.66 0.63 8856813
Accuracy: 0.6587764695946499
20-40%
precision recall f1-score support
0 0.42 0.84 0.56 2995598
1 0.81 0.37 0.51 5583215
accuracy 0.53 8578813
macro avg 0.61 0.60 0.53 8578813
weighted avg 0.67 0.53 0.52 8578813
Accuracy: 0.5330247902594449
precision recall f1-score support
0 0.74 0.93 0.83 21029926
1 0.74 0.36 0.48 10666875
accuracy 0.74 31696801
macro avg 0.74 0.65 0.65 31696801
weighted avg 0.74 0.74 0.71 31696801
Accuracy: 0.7404618844658803
40-80%
precision recall f1-score support
0 0.25 0.80 0.38 1295061
1 0.88 0.37 0.52 5001564
accuracy 0.46 6296625
macro avg 0.56 0.59 0.45 6296625
weighted avg 0.75 0.46 0.49 6296625
Accuracy: 0.45800663053619994
precision recall f1-score support
0 0.67 0.93 0.78 22324987
1 0.78 0.36 0.49 15668439
accuracy 0.69 37993426
macro avg 0.73 0.64 0.64 37993426
weighted avg 0.72 0.69 0.66 37993426
Accuracy: 0.6936507647401948
80-90%
precision recall f1-score support
0 0.18 0.79 0.29 117971
1 0.91 0.36 0.52 692761
accuracy 0.43 810732
macro avg 0.54 0.58 0.40 810732
weighted avg 0.80 0.43 0.49 810732
Accuracy: 0.4261025838378157
90-100%
precision recall f1-score support
0 0.16 0.79 0.27 88944
1 0.92 0.36 0.52 577496
accuracy 0.42 666440
macro avg 0.54 0.58 0.39 666440
weighted avg 0.82 0.42 0.49 666440
Accuracy: 0.4205344817237861
LR_9_decay_vtime_w_0_75
0.01
Treshold: 0.5
All
precision recall f1-score support
0 0.62 0.85 0.72 28055468
1 0.64 0.34 0.44 21729815
accuracy 0.63 49785283
macro avg 0.63 0.59 0.58 49785283
weighted avg 0.63 0.63 0.60 49785283
Accuracy: 0.6273655208508104
precision recall f1-score support
0 0.62 0.85 0.72 28055468
1 0.64 0.34 0.44 21729815
accuracy 0.63 49785283
macro avg 0.63 0.59 0.58 49785283
weighted avg 0.63 0.63 0.60 49785283
Accuracy: 0.6273655208508104
0-1%
precision recall f1-score support
0 0.67 0.85 0.75 27764588
1 0.58 0.33 0.42 17098553
accuracy 0.65 44863141
macro avg 0.63 0.59 0.59 44863141
weighted avg 0.64 0.65 0.63 44863141
Accuracy: 0.6542890075396193
precision recall f1-score support
0 0.67 0.85 0.75 27764588
1 0.58 0.33 0.42 17098553
accuracy 0.65 44863141
macro avg 0.63 0.59 0.59 44863141
weighted avg 0.64 0.65 0.63 44863141
Accuracy: 0.6542890075396193
1-10%
precision recall f1-score support
0 0.07 0.65 0.12 287564
1 0.94 0.37 0.53 4164787
accuracy 0.38 4452351
macro avg 0.50 0.51 0.32 4452351
weighted avg 0.88 0.38 0.50 4452351
Accuracy: 0.3832494338384373
precision recall f1-score support
0 0.63 0.85 0.72 28052152
1 0.63 0.34 0.44 21263340
accuracy 0.63 49315492
macro avg 0.63 0.59 0.58 49315492
weighted avg 0.63 0.63 0.60 49315492
Accuracy: 0.629818739312182
10-20%
precision recall f1-score support
0 0.01 0.63 0.02 2455
1 0.99 0.37 0.54 257616
accuracy 0.37 260071
macro avg 0.50 0.50 0.28 260071
weighted avg 0.98 0.37 0.53 260071
Accuracy: 0.370002806925801
precision recall f1-score support
0 0.63 0.85 0.72 28054607
1 0.64 0.34 0.44 21520956
accuracy 0.63 49575563
macro avg 0.63 0.59 0.58 49575563
weighted avg 0.63 0.63 0.60 49575563
Accuracy: 0.628455757527151
20-40%
precision recall f1-score support
0 0.62 0.85 0.72 28055266
1 0.64 0.34 0.44 21651524
accuracy 0.63 49706790
macro avg 0.63 0.59 0.58 49706790
weighted avg 0.63 0.63 0.60 49706790
Accuracy: 0.6277698077063516
precision recall f1-score support
0 0.01 0.67 0.01 659
1 1.00 0.37 0.54 130568
accuracy 0.37 131227
macro avg 0.50 0.52 0.27 131227
weighted avg 0.99 0.37 0.53 131227
Accuracy: 0.36862840726374907
40-80%
precision recall f1-score support
0 0.00 0.64 0.01 169
1 1.00 0.37 0.54 65234
accuracy 0.37 65403
macro avg 0.50 0.51 0.27 65403
weighted avg 0.99 0.37 0.54 65403
Accuracy: 0.37253642799259973
precision recall f1-score support
0 0.62 0.85 0.72 28055435
1 0.64 0.34 0.44 21716758
accuracy 0.63 49772193
macro avg 0.63 0.59 0.58 49772193
weighted avg 0.63 0.63 0.60 49772193
Accuracy: 0.6274344190540289
80-90%
precision recall f1-score support
0 0.00 0.40 0.00 15
1 1.00 0.36 0.53 7371
accuracy 0.36 7386
macro avg 0.50 0.38 0.26 7386
weighted avg 0.99 0.36 0.53 7386
Accuracy: 0.3577037638776063
90-100%
precision recall f1-score support
0 0.00 0.67 0.01 18
1 1.00 0.37 0.54 5686
accuracy 0.38 5704
macro avg 0.50 0.52 0.28 5704
weighted avg 0.99 0.38 0.54 5704
Accuracy: 0.3753506311360449
0.1
Treshold: 0.5
All
precision recall f1-score support
0 0.66 0.78 0.72 26119367
1 0.66 0.51 0.58 21615229
accuracy 0.66 47734596
macro avg 0.66 0.65 0.65 47734596
weighted avg 0.66 0.66 0.65 47734596
Accuracy: 0.6618385751080831
precision recall f1-score support
0 0.66 0.78 0.72 26119367
1 0.66 0.51 0.58 21615229
accuracy 0.66 47734596
macro avg 0.66 0.65 0.65 47734596
weighted avg 0.66 0.66 0.65 47734596
Accuracy: 0.6618385751080831
0-1%
precision recall f1-score support
0 0.98 0.93 0.95 12053010
1 0.21 0.45 0.29 508421
accuracy 0.91 12561431
macro avg 0.59 0.69 0.62 12561431
weighted avg 0.94 0.91 0.93 12561431
Accuracy: 0.9104785115644866
precision recall f1-score support
0 0.98 0.93 0.95 12053010
1 0.21 0.45 0.29 508421
accuracy 0.91 12561431
macro avg 0.59 0.69 0.62 12561431
weighted avg 0.94 0.91 0.93 12561431
Accuracy: 0.9104785115644866
1-10%
precision recall f1-score support
0 0.73 0.79 0.76 25421477
1 0.59 0.51 0.55 14975241
accuracy 0.69 40396718
macro avg 0.66 0.65 0.65 40396718
weighted avg 0.68 0.69 0.68 40396718
Accuracy: 0.6866671198387948
precision recall f1-score support
0 0.56 0.67 0.61 13368467
1 0.62 0.51 0.56 14466820
accuracy 0.59 27835287
macro avg 0.59 0.59 0.58 27835287
weighted avg 0.59 0.59 0.58 27835287
Accuracy: 0.5856661366559648
10-20%
precision recall f1-score support
0 0.69 0.79 0.74 25924842
1 0.63 0.51 0.57 18362515
accuracy 0.67 44287357
macro avg 0.66 0.65 0.65 44287357
weighted avg 0.67 0.67 0.67 44287357
Accuracy: 0.6726487426197052
precision recall f1-score support
0 0.14 0.53 0.22 503365
1 0.88 0.53 0.66 3387274
accuracy 0.53 3890639
macro avg 0.51 0.53 0.44 3890639
weighted avg 0.79 0.53 0.60 3890639
Accuracy: 0.5270951635451143
20-40%
precision recall f1-score support
0 0.67 0.78 0.73 26072330
1 0.65 0.51 0.57 20332940
accuracy 0.67 46405270
macro avg 0.66 0.65 0.65 46405270
weighted avg 0.66 0.67 0.66 46405270
Accuracy: 0.6658570028791988
precision recall f1-score support
0 0.08 0.53 0.13 147488
1 0.94 0.52 0.67 1970425
accuracy 0.52 2117913
macro avg 0.51 0.52 0.40 2117913
weighted avg 0.88 0.52 0.63 2117913
Accuracy: 0.5238359649334038
40-80%
precision recall f1-score support
0 0.66 0.78 0.72 26113946
1 0.66 0.51 0.58 21397219
accuracy 0.66 47511165
macro avg 0.66 0.65 0.65 47511165
weighted avg 0.66 0.66 0.66 47511165
Accuracy: 0.6625068233961428
precision recall f1-score support
0 0.04 0.53 0.08 41616
1 0.97 0.52 0.68 1064279
accuracy 0.52 1105895
macro avg 0.50 0.53 0.38 1105895
weighted avg 0.93 0.52 0.65 1105895
Accuracy: 0.5219274885952102
80-90%
precision recall f1-score support
0 0.03 0.54 0.05 3093
1 0.98 0.52 0.68 120943
accuracy 0.52 124036
macro avg 0.50 0.53 0.37 124036
weighted avg 0.95 0.52 0.66 124036
Accuracy: 0.5201957496210777
90-100%
precision recall f1-score support
0 0.03 0.52 0.05 2328
1 0.98 0.52 0.68 97067
accuracy 0.52 99395
macro avg 0.50 0.52 0.36 99395
weighted avg 0.96 0.52 0.66 99395
Accuracy: 0.5191709844559586
0.2
Treshold: 0.5
All
precision recall f1-score support
0 0.68 0.78 0.73 24893266
1 0.68 0.56 0.62 20563095
accuracy 0.68 45456361
macro avg 0.68 0.67 0.67 45456361
weighted avg 0.68 0.68 0.68 45456361
Accuracy: 0.683884440287686
precision recall f1-score support
0 0.68 0.78 0.73 24893266
1 0.68 0.56 0.62 20563095
accuracy 0.68 45456361
macro avg 0.68 0.67 0.67 45456361
weighted avg 0.68 0.68 0.68 45456361
Accuracy: 0.683884440287686
0-1%
precision recall f1-score support
0 1.00 0.99 1.00 4873589
1 0.05 0.49 0.09 3872
accuracy 0.99 4877461
macro avg 0.52 0.74 0.54 4877461
weighted avg 1.00 0.99 1.00 4877461
Accuracy: 0.991675791974554
1-10%
precision recall f1-score support
0 0.83 0.81 0.82 21822692
1 0.52 0.55 0.54 8020644
accuracy 0.74 29843336
macro avg 0.68 0.68 0.68 29843336
weighted avg 0.75 0.74 0.75 29843336
Accuracy: 0.7442351619135341
precision recall f1-score support
0 0.78 0.76 0.77 16949103
1 0.53 0.55 0.54 8016772
accuracy 0.70 24965875
macro avg 0.65 0.66 0.66 24965875
weighted avg 0.70 0.70 0.70 24965875
Accuracy: 0.6958938951669028
10-20%
precision recall f1-score support
0 0.76 0.79 0.78 23880186
1 0.61 0.56 0.58 13481800
accuracy 0.71 37361986
macro avg 0.68 0.68 0.68 37361986
weighted avg 0.71 0.71 0.71 37361986
Accuracy: 0.7097588709550933
precision recall f1-score support
0 0.33 0.57 0.42 2057494
1 0.78 0.58 0.66 5461156
accuracy 0.57 7518650
macro avg 0.56 0.57 0.54 7518650
weighted avg 0.66 0.57 0.60 7518650
Accuracy: 0.5729141534717004
20-40%
precision recall f1-score support
0 0.72 0.79 0.75 24625160
1 0.65 0.56 0.60 17542339
accuracy 0.69 42167499
macro avg 0.68 0.67 0.68 42167499
weighted avg 0.69 0.69 0.69 42167499
Accuracy: 0.6934554975622339
precision recall f1-score support
0 0.19 0.54 0.28 744974
1 0.87 0.57 0.69 4060539
accuracy 0.57 4805513
macro avg 0.53 0.56 0.48 4805513
weighted avg 0.77 0.57 0.63 4805513
Accuracy: 0.566699746728393
40-80%
precision recall f1-score support
0 0.69 0.78 0.73 24861069
1 0.68 0.56 0.62 20026114
accuracy 0.69 44887183
macro avg 0.68 0.67 0.67 44887183
weighted avg 0.68 0.69 0.68 44887183
Accuracy: 0.685476742882261
precision recall f1-score support
0 0.10 0.54 0.17 235909
1 0.93 0.56 0.70 2483775
accuracy 0.56 2719684
macro avg 0.52 0.55 0.44 2719684
weighted avg 0.86 0.56 0.66 2719684
Accuracy: 0.5617696761829684
80-90%
precision recall f1-score support
0 0.07 0.54 0.13 18577
1 0.95 0.56 0.70 296772
accuracy 0.56 315349
macro avg 0.51 0.55 0.42 315349
weighted avg 0.90 0.56 0.67 315349
Accuracy: 0.5585335612289876
90-100%
precision recall f1-score support
0 0.06 0.54 0.12 13620
1 0.96 0.56 0.71 240209
accuracy 0.56 253829
macro avg 0.51 0.55 0.41 253829
weighted avg 0.91 0.56 0.67 253829
Accuracy: 0.5580331640592683
0.4
Treshold: 0.5
All
precision recall f1-score support
0 0.72 0.82 0.77 22531902
1 0.71 0.58 0.64 16938696
accuracy 0.72 39470598
macro avg 0.71 0.70 0.70 39470598
weighted avg 0.72 0.72 0.71 39470598
Accuracy: 0.7166907377486401
precision recall f1-score support
0 0.72 0.82 0.77 22531902
1 0.71 0.58 0.64 16938696
accuracy 0.72 39470598
macro avg 0.71 0.70 0.70 39470598
weighted avg 0.72 0.72 0.71 39470598
Accuracy: 0.7166907377486401
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: 0.9999961290297606
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: 0.9999961290297606
1-10%
precision recall f1-score support
0 0.95 0.90 0.92 11439888
1 0.37 0.54 0.44 1271288
accuracy 0.86 12711176
macro avg 0.66 0.72 0.68 12711176
weighted avg 0.89 0.86 0.87 12711176
Accuracy: 0.8632954968131981
10-20%
precision recall f1-score support
0 0.87 0.86 0.87 18034328
1 0.53 0.56 0.55 5083660
accuracy 0.80 23117988
macro avg 0.70 0.71 0.71 23117988
weighted avg 0.80 0.80 0.80 23117988
Accuracy: 0.7951106731260523
precision recall f1-score support
0 0.69 0.73 0.71 5044441
1 0.61 0.57 0.59 3812372
accuracy 0.66 8856813
macro avg 0.65 0.65 0.65 8856813
weighted avg 0.66 0.66 0.66 8856813
Accuracy: 0.6613964865239901
20-40%
precision recall f1-score support
0 0.47 0.67 0.55 2995598
1 0.77 0.59 0.67 5583215
accuracy 0.62 8578813
macro avg 0.62 0.63 0.61 8578813
weighted avg 0.66 0.62 0.62 8578813
Accuracy: 0.61591061607241
precision recall f1-score support
0 0.79 0.83 0.81 21029926
1 0.64 0.58 0.60 10666875
accuracy 0.75 31696801
macro avg 0.72 0.70 0.71 31696801
weighted avg 0.74 0.75 0.74 31696801
Accuracy: 0.7466097603982181
40-80%
precision recall f1-score support
0 0.29 0.64 0.39 1295061
1 0.86 0.59 0.70 5001564
accuracy 0.60 6296625
macro avg 0.57 0.61 0.55 6296625
weighted avg 0.74 0.60 0.64 6296625
Accuracy: 0.5964665197625713
precision recall f1-score support
0 0.74 0.82 0.78 22324987
1 0.70 0.58 0.63 15668439
accuracy 0.72 37993426
macro avg 0.72 0.70 0.70 37993426
weighted avg 0.72 0.72 0.72 37993426
Accuracy: 0.7217266218634771
80-90%
precision recall f1-score support
0 0.20 0.63 0.31 117971
1 0.90 0.58 0.71 692761
accuracy 0.59 810732
macro avg 0.55 0.61 0.51 810732
weighted avg 0.80 0.59 0.65 810732
Accuracy: 0.5876837228578617
90-100%
precision recall f1-score support
0 0.19 0.63 0.29 88944
1 0.91 0.58 0.71 577496
accuracy 0.59 666440
macro avg 0.55 0.61 0.50 666440
weighted avg 0.81 0.59 0.65 666440
Accuracy: 0.5865359222135527
LR_decay_rtime
0.01
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 0.01 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
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
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 0.00 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
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
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
0.1
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
0.2
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 0.90 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
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
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
0.4
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 0.54 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
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
40-80%
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
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
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
LR_decay_rtime_w_0_5
0.01
Treshold: 0.5
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
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
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
precision recall f1-score support
0 0.57 1.00 0.73 28052152
1 0.00 0.00 0.00 21263340
accuracy 0.57 49315492
macro avg 0.28 0.50 0.36 49315492
weighted avg 0.32 0.57 0.41 49315492
Accuracy: 0.568830419455209
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 0.56 1.00 0.72 28055266
1 0.00 0.00 0.00 21651524
accuracy 0.56 49706790
macro avg 0.28 0.50 0.36 49706790
weighted avg 0.32 0.56 0.41 49706790
Accuracy: 0.5644151634012174
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
precision recall f1-score support
0 0.56 1.00 0.72 28055435
1 0.00 0.00 0.00 21716758
accuracy 0.56 49772193
macro avg 0.28 0.50 0.36 49772193
weighted avg 0.32 0.56 0.41 49772193
Accuracy: 0.5636768908293834
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: 0.5
All
precision recall f1-score support
0 0.63 0.86 0.73 26119367
1 0.70 0.39 0.50 21615229
accuracy 0.65 47734596
macro avg 0.66 0.63 0.61 47734596
weighted avg 0.66 0.65 0.63 47734596
Accuracy: 0.6479074003265891
precision recall f1-score support
0 0.63 0.86 0.73 26119367
1 0.70 0.39 0.50 21615229
accuracy 0.65 47734596
macro avg 0.66 0.63 0.61 47734596
weighted avg 0.66 0.65 0.63 47734596
Accuracy: 0.6479074003265891
0-1%
precision recall f1-score support
0 0.97 0.97 0.97 12053010
1 0.29 0.27 0.28 508421
accuracy 0.94 12561431
macro avg 0.63 0.62 0.63 12561431
weighted avg 0.94 0.94 0.94 12561431
Accuracy: 0.9437496412630058
precision recall f1-score support
0 0.97 0.97 0.97 12053010
1 0.29 0.27 0.28 508421
accuracy 0.94 12561431
macro avg 0.63 0.62 0.63 12561431
weighted avg 0.94 0.94 0.94 12561431
Accuracy: 0.9437496412630058
1-10%
precision recall f1-score support
0 0.71 0.87 0.78 25421477
1 0.63 0.38 0.48 14975241
accuracy 0.69 40396718
macro avg 0.67 0.63 0.63 40396718
weighted avg 0.68 0.69 0.67 40396718
Accuracy: 0.6880548315831004
precision recall f1-score support
0 0.54 0.77 0.63 13368467
1 0.65 0.39 0.49 14466820
accuracy 0.57 27835287
macro avg 0.59 0.58 0.56 27835287
weighted avg 0.60 0.57 0.56 27835287
Accuracy: 0.5726655881076419
10-20%
precision recall f1-score support
0 0.67 0.86 0.75 25924842
1 0.67 0.39 0.49 18362515
accuracy 0.67 44287357
macro avg 0.67 0.63 0.62 44287357
weighted avg 0.67 0.67 0.64 44287357
Accuracy: 0.6660603160400834
precision recall f1-score support
0 0.14 0.64 0.23 503365
1 0.88 0.41 0.56 3387274
accuracy 0.44 3890639
macro avg 0.51 0.52 0.39 3890639
weighted avg 0.79 0.44 0.52 3890639
Accuracy: 0.437690055541005
20-40%
precision recall f1-score support
0 0.64 0.86 0.74 26072330
1 0.69 0.39 0.50 20332940
accuracy 0.65 46405270
macro avg 0.67 0.63 0.62 46405270
weighted avg 0.66 0.65 0.63 46405270
Accuracy: 0.654789165109911
precision recall f1-score support
0 0.07 0.64 0.13 147488
1 0.94 0.40 0.56 1970425
accuracy 0.42 2117913
macro avg 0.51 0.52 0.35 2117913
weighted avg 0.88 0.42 0.53 2117913
Accuracy: 0.419099840267282
40-80%
precision recall f1-score support
0 0.63 0.86 0.73 26113946
1 0.70 0.39 0.50 21397219
accuracy 0.65 47511165
macro avg 0.66 0.63 0.62 47511165
weighted avg 0.66 0.65 0.63 47511165
Accuracy: 0.6490584055347832
precision recall f1-score support
0 0.04 0.65 0.08 41616
1 0.97 0.40 0.57 1064279
accuracy 0.41 1105895
macro avg 0.50 0.52 0.32 1105895
weighted avg 0.93 0.41 0.55 1105895
Accuracy: 0.40858580606657957
80-90%
precision recall f1-score support
0 0.03 0.66 0.05 3093
1 0.98 0.40 0.57 120943
accuracy 0.40 124036
macro avg 0.50 0.53 0.31 124036
weighted avg 0.95 0.40 0.55 124036
Accuracy: 0.4045841529878422
90-100%
precision recall f1-score support
0 0.02 0.63 0.05 2328
1 0.98 0.40 0.56 97067
accuracy 0.40 99395
macro avg 0.50 0.51 0.31 99395
weighted avg 0.96 0.40 0.55 99395
Accuracy: 0.4013682780823985
0.2
Treshold: 0.5
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
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
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 0.73 1.00 0.84 21822692
1 0.00 0.00 0.00 8020644
accuracy 0.73 29843336
macro avg 0.37 0.50 0.42 29843336
weighted avg 0.53 0.73 0.62 29843336
Accuracy: 0.7312417083666518
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 0.64 1.00 0.78 23880186
1 0.00 0.00 0.00 13481800
accuracy 0.64 37361986
macro avg 0.32 0.50 0.39 37361986
weighted avg 0.41 0.64 0.50 37361986
Accuracy: 0.6391572974734266
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 0.58 1.00 0.74 24625160
1 0.00 0.00 0.00 17542339
accuracy 0.58 42167499
macro avg 0.29 0.50 0.37 42167499
weighted avg 0.34 0.58 0.43 42167499
Accuracy: 0.5839843619845702
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 0.55 1.00 0.71 24861069
1 0.00 0.00 0.00 20026114
accuracy 0.55 44887183
macro avg 0.28 0.50 0.36 44887183
weighted avg 0.31 0.55 0.39 44887183
Accuracy: 0.553856743471739
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: 0.5
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
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 0.91 1.00 0.95 12989887
1 0.00 0.00 0.00 1271288
accuracy 0.91 14261175
macro avg 0.46 0.50 0.48 14261175
weighted avg 0.83 0.91 0.87 14261175
Accuracy: 0.9108567141206808
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 0.78 1.00 0.88 18034328
1 0.00 0.00 0.00 5083660
accuracy 0.78 23117988
macro avg 0.39 0.50 0.44 23117988
weighted avg 0.61 0.78 0.68 23117988
Accuracy: 0.7800993754300763
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
precision recall f1-score support
0 0.66 1.00 0.80 21029926
1 0.00 0.00 0.00 10666875
accuracy 0.66 31696801
macro avg 0.33 0.50 0.40 31696801
weighted avg 0.44 0.66 0.53 31696801
Accuracy: 0.6634715597955768
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
precision recall f1-score support
0 0.59 1.00 0.74 22324987
1 0.00 0.00 0.00 15668439
accuracy 0.59 37993426
macro avg 0.29 0.50 0.37 37993426
weighted avg 0.35 0.59 0.43 37993426
Accuracy: 0.5876013129218723
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
LR_decay_rtime_w_0_75
0.01
Treshold: 0.5
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
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
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
precision recall f1-score support
0 0.59 0.86 0.70 28052152
1 0.54 0.21 0.30 21263340
accuracy 0.58 49315492
macro avg 0.56 0.54 0.50 49315492
weighted avg 0.57 0.58 0.53 49315492
Accuracy: 0.5818687766513614
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
precision recall f1-score support
0 0.59 0.86 0.70 28054607
1 0.54 0.21 0.30 21520956
accuracy 0.58 49575563
macro avg 0.56 0.54 0.50 49575563
weighted avg 0.57 0.58 0.53 49575563
Accuracy: 0.5789129414425409
20-40%
precision recall f1-score support
0 0.59 0.86 0.70 28055266
1 0.54 0.21 0.30 21651524
accuracy 0.58 49706790
macro avg 0.56 0.54 0.50 49706790
weighted avg 0.56 0.58 0.52 49706790
Accuracy: 0.577409705997913
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
precision recall f1-score support
0 0.58 0.86 0.70 28055435
1 0.54 0.21 0.30 21716758
accuracy 0.58 49772193
macro avg 0.56 0.53 0.50 49772193
weighted avg 0.56 0.58 0.52 49772193
Accuracy: 0.576657130619099
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 1.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.50 0.50 0.00 7386
weighted avg 1.00 0.00 0.00 7386
Accuracy: 0.003926347143243975
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 1.00 0.00 0.00 5686
accuracy 0.01 5704
macro avg 0.50 0.50 0.01 5704
weighted avg 1.00 0.01 0.00 5704
Accuracy: 0.005434782608695652
0.1
Treshold: 0.5
All
precision recall f1-score support
0 0.71 0.74 0.72 26119367
1 0.67 0.64 0.66 21615229
accuracy 0.69 47734596
macro avg 0.69 0.69 0.69 47734596
weighted avg 0.69 0.69 0.69 47734596
Accuracy: 0.6935438397760819
precision recall f1-score support
0 0.71 0.74 0.72 26119367
1 0.67 0.64 0.66 21615229
accuracy 0.69 47734596
macro avg 0.69 0.69 0.69 47734596
weighted avg 0.69 0.69 0.69 47734596
Accuracy: 0.6935438397760819
0-1%
precision recall f1-score support
0 0.98 0.93 0.95 12053010
1 0.21 0.44 0.29 508421
accuracy 0.91 12561431
macro avg 0.59 0.68 0.62 12561431
weighted avg 0.94 0.91 0.93 12561431
Accuracy: 0.9118375923889563
precision recall f1-score support
0 0.98 0.93 0.95 12053010
1 0.21 0.44 0.29 508421
accuracy 0.91 12561431
macro avg 0.59 0.68 0.62 12561431
weighted avg 0.94 0.91 0.93 12561431
Accuracy: 0.9118375923889563
1-10%
precision recall f1-score support
0 0.77 0.74 0.76 25421477
1 0.59 0.62 0.61 14975241
accuracy 0.70 40396718
macro avg 0.68 0.68 0.68 40396718
weighted avg 0.70 0.70 0.70 40396718
Accuracy: 0.699548463318233
precision recall f1-score support
0 0.59 0.58 0.58 13368467
1 0.62 0.63 0.62 14466820
accuracy 0.60 27835287
macro avg 0.60 0.60 0.60 27835287
weighted avg 0.60 0.60 0.60 27835287
Accuracy: 0.6037472148212447
10-20%
precision recall f1-score support
0 0.74 0.74 0.74 25924842
1 0.63 0.63 0.63 18362515
accuracy 0.70 44287357
macro avg 0.69 0.69 0.69 44287357
weighted avg 0.70 0.70 0.70 44287357
Accuracy: 0.6950480923935018
precision recall f1-score support
0 0.15 0.38 0.22 503365
1 0.88 0.69 0.77 3387274
accuracy 0.65 3890639
macro avg 0.52 0.53 0.50 3890639
weighted avg 0.79 0.65 0.70 3890639
Accuracy: 0.6483204943969358
20-40%
precision recall f1-score support
0 0.72 0.74 0.73 26072330
1 0.65 0.64 0.65 20332940
accuracy 0.69 46405270
macro avg 0.69 0.69 0.69 46405270
weighted avg 0.69 0.69 0.69 46405270
Accuracy: 0.6938819664232101
precision recall f1-score support
0 0.08 0.37 0.14 147488
1 0.94 0.69 0.80 1970425
accuracy 0.67 2117913
macro avg 0.51 0.53 0.47 2117913
weighted avg 0.88 0.67 0.75 2117913
Accuracy: 0.6694972834106028
40-80%
precision recall f1-score support
0 0.72 0.74 0.73 26113946
1 0.67 0.64 0.65 21397219
accuracy 0.69 47511165
macro avg 0.69 0.69 0.69 47511165
weighted avg 0.69 0.69 0.69 47511165
Accuracy: 0.6935845711213354
precision recall f1-score support
0 0.05 0.37 0.08 41616
1 0.97 0.69 0.81 1064279
accuracy 0.68 1105895
macro avg 0.51 0.53 0.44 1105895
weighted avg 0.93 0.68 0.78 1105895
Accuracy: 0.6811053490611676
80-90%
precision recall f1-score support
0 0.03 0.38 0.06 3093
1 0.98 0.69 0.81 120943
accuracy 0.68 124036
macro avg 0.50 0.54 0.43 124036
weighted avg 0.95 0.68 0.79 124036
Accuracy: 0.6846399432422845
90-100%
precision recall f1-score support
0 0.03 0.36 0.05 2328
1 0.98 0.69 0.81 97067
accuracy 0.69 99395
macro avg 0.50 0.53 0.43 99395
weighted avg 0.96 0.69 0.79 99395
Accuracy: 0.6851853714975602
0.2
Treshold: 0.5
All
precision recall f1-score support
0 0.74 0.70 0.72 24893266
1 0.65 0.70 0.67 20563095
accuracy 0.70 45456361
macro avg 0.69 0.70 0.70 45456361
weighted avg 0.70 0.70 0.70 45456361
Accuracy: 0.6964883968604526
precision recall f1-score support
0 0.74 0.70 0.72 24893266
1 0.65 0.70 0.67 20563095
accuracy 0.70 45456361
macro avg 0.69 0.70 0.70 45456361
weighted avg 0.70 0.70 0.70 45456361
Accuracy: 0.6964883968604526
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: 0.9887078543529103
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: 0.9887078543529103
1-10%
precision recall f1-score support
0 0.86 0.73 0.79 21822692
1 0.48 0.67 0.56 8020644
accuracy 0.72 29843336
macro avg 0.67 0.70 0.68 29843336
weighted avg 0.76 0.72 0.73 29843336
Accuracy: 0.7184519183780258
precision recall f1-score support
0 0.81 0.66 0.73 16949103
1 0.49 0.67 0.56 8016772
accuracy 0.67 24965875
macro avg 0.65 0.67 0.65 24965875
weighted avg 0.71 0.67 0.68 24965875
Accuracy: 0.6656533368047385
10-20%
precision recall f1-score support
0 0.80 0.71 0.75 23880186
1 0.57 0.69 0.62 13481800
accuracy 0.70 37361986
macro avg 0.69 0.70 0.69 37361986
weighted avg 0.72 0.70 0.71 37361986
Accuracy: 0.7016109636141933
precision recall f1-score support
0 0.36 0.43 0.39 2057494
1 0.77 0.71 0.74 5461156
accuracy 0.63 7518650
macro avg 0.57 0.57 0.57 7518650
weighted avg 0.66 0.63 0.64 7518650
Accuracy: 0.6347651506586954
20-40%
precision recall f1-score support
0 0.76 0.70 0.73 24625160
1 0.62 0.69 0.66 17542339
accuracy 0.70 42167499
macro avg 0.69 0.70 0.69 42167499
weighted avg 0.70 0.70 0.70 42167499
Accuracy: 0.6974811809445943
precision recall f1-score support
0 0.21 0.41 0.28 744974
1 0.87 0.71 0.78 4060539
accuracy 0.67 4805513
macro avg 0.54 0.56 0.53 4805513
weighted avg 0.77 0.67 0.70 4805513
Accuracy: 0.6653728748626837
40-80%
precision recall f1-score support
0 0.74 0.70 0.72 24861069
1 0.65 0.70 0.67 20026114
accuracy 0.70 44887183
macro avg 0.69 0.70 0.69 44887183
weighted avg 0.70 0.70 0.70 44887183
Accuracy: 0.6965823629431145
precision recall f1-score support
0 0.12 0.41 0.18 235909
1 0.93 0.71 0.80 2483775
accuracy 0.68 2719684
macro avg 0.52 0.56 0.49 2719684
weighted avg 0.86 0.68 0.75 2719684
Accuracy: 0.6826465868828878
80-90%
precision recall f1-score support
0 0.08 0.41 0.13 18577
1 0.95 0.71 0.81 296772
accuracy 0.69 315349
macro avg 0.51 0.56 0.47 315349
weighted avg 0.90 0.69 0.77 315349
Accuracy: 0.6880281846462174
90-100%
precision recall f1-score support
0 0.07 0.41 0.12 13620
1 0.95 0.71 0.81 240209
accuracy 0.69 253829
macro avg 0.51 0.56 0.47 253829
weighted avg 0.91 0.69 0.78 253829
Accuracy: 0.690382107639395
0.4
Treshold: 0.5
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
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
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.91 1.00 0.95 12989887
1 0.00 0.00 0.00 1271288
accuracy 0.91 14261175
macro avg 0.46 0.50 0.48 14261175
weighted avg 0.83 0.91 0.87 14261175
Accuracy: 0.9108567141206808
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 0.78 1.00 0.88 18034328
1 0.00 0.00 0.00 5083660
accuracy 0.78 23117988
macro avg 0.39 0.50 0.44 23117988
weighted avg 0.61 0.78 0.68 23117988
Accuracy: 0.7800993754300763
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
precision recall f1-score support
0 0.66 1.00 0.80 21029926
1 0.00 0.00 0.00 10666875
accuracy 0.66 31696801
macro avg 0.33 0.50 0.40 31696801
weighted avg 0.44 0.66 0.53 31696801
Accuracy: 0.6634715597955768
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
precision recall f1-score support
0 0.59 1.00 0.74 22324987
1 0.00 0.00 0.00 15668439
accuracy 0.59 37993426
macro avg 0.29 0.50 0.37 37993426
weighted avg 0.35 0.59 0.43 37993426
Accuracy: 0.5876013129218723
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: 0.5
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 0.01 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
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
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 0.00 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
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
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
0.1
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
0.2
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 0.96 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
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
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 0.92 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
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
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
0.4
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 0.72 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
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
40-80%
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
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
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
LR_decay_vtime_w_0_5
0.01
Treshold: 0.5
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
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
precision recall f1-score support
0 0.57 1.00 0.73 28052152
1 0.00 0.00 0.00 21263340
accuracy 0.57 49315492
macro avg 0.28 0.50 0.36 49315492
weighted avg 0.32 0.57 0.41 49315492
Accuracy: 0.568830419455209
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
precision recall f1-score support
0 0.57 1.00 0.72 28054607
1 0.00 0.00 0.00 21520956
accuracy 0.57 49575563
macro avg 0.28 0.50 0.36 49575563
weighted avg 0.32 0.57 0.41 49575563
Accuracy: 0.5658958830180103
20-40%
precision recall f1-score support
0 0.56 1.00 0.72 28055266
1 0.00 0.00 0.00 21651524
accuracy 0.56 49706790
macro avg 0.28 0.50 0.36 49706790
weighted avg 0.32 0.56 0.41 49706790
Accuracy: 0.5644151634012174
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
precision recall f1-score support
0 0.56 1.00 0.72 28055435
1 0.00 0.00 0.00 21716758
accuracy 0.56 49772193
macro avg 0.28 0.50 0.36 49772193
weighted avg 0.32 0.56 0.41 49772193
Accuracy: 0.5636768908293834
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: 0.5
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
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
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 0.63 1.00 0.77 25421477
1 0.00 0.00 0.00 14975241
accuracy 0.63 40396718
macro avg 0.31 0.50 0.39 40396718
weighted avg 0.40 0.63 0.49 40396718
Accuracy: 0.6292956026774255
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 0.59 1.00 0.74 25924842
1 0.00 0.00 0.00 18362515
accuracy 0.59 44287357
macro avg 0.29 0.50 0.37 44287357
weighted avg 0.34 0.59 0.43 44287357
Accuracy: 0.5853779443194138
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 0.56 1.00 0.72 26072330
1 0.00 0.00 0.00 20332940
accuracy 0.56 46405270
macro avg 0.28 0.50 0.36 46405270
weighted avg 0.32 0.56 0.40 46405270
Accuracy: 0.561839851378949
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 0.55 1.00 0.71 26113946
1 0.00 0.00 0.00 21397219
accuracy 0.55 47511165
macro avg 0.27 0.50 0.35 47511165
weighted avg 0.30 0.55 0.39 47511165
Accuracy: 0.549638090330978
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: 0.5
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
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
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 0.73 1.00 0.84 21822692
1 0.00 0.00 0.00 8020644
accuracy 0.73 29843336
macro avg 0.37 0.50 0.42 29843336
weighted avg 0.53 0.73 0.62 29843336
Accuracy: 0.7312417083666518
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 0.64 1.00 0.78 23880186
1 0.00 0.00 0.00 13481800
accuracy 0.64 37361986
macro avg 0.32 0.50 0.39 37361986
weighted avg 0.41 0.64 0.50 37361986
Accuracy: 0.6391572974734266
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 0.58 1.00 0.74 24625160
1 0.00 0.00 0.00 17542339
accuracy 0.58 42167499
macro avg 0.29 0.50 0.37 42167499
weighted avg 0.34 0.58 0.43 42167499
Accuracy: 0.5839843619845702
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 0.55 1.00 0.71 24861069
1 0.00 0.00 0.00 20026114
accuracy 0.55 44887183
macro avg 0.28 0.50 0.36 44887183
weighted avg 0.31 0.55 0.39 44887183
Accuracy: 0.553856743471739
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: 0.5
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
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
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.91 1.00 0.95 12989887
1 0.00 0.00 0.00 1271288
accuracy 0.91 14261175
macro avg 0.46 0.50 0.48 14261175
weighted avg 0.83 0.91 0.87 14261175
Accuracy: 0.9108567141206808
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 0.78 1.00 0.88 18034328
1 0.00 0.00 0.00 5083660
accuracy 0.78 23117988
macro avg 0.39 0.50 0.44 23117988
weighted avg 0.61 0.78 0.68 23117988
Accuracy: 0.7800993754300763
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
precision recall f1-score support
0 0.66 1.00 0.80 21029926
1 0.00 0.00 0.00 10666875
accuracy 0.66 31696801
macro avg 0.33 0.50 0.40 31696801
weighted avg 0.44 0.66 0.53 31696801
Accuracy: 0.6634715597955768
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
precision recall f1-score support
0 0.59 1.00 0.74 22324987
1 0.00 0.00 0.00 15668439
accuracy 0.59 37993426
macro avg 0.29 0.50 0.37 37993426
weighted avg 0.35 0.59 0.43 37993426
Accuracy: 0.5876013129218723
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
LR_decay_vtime_w_0_75
0.01
Treshold: 0.5
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
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
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
precision recall f1-score support
0 0.57 1.00 0.73 28052152
1 0.00 0.00 0.00 21263340
accuracy 0.57 49315492
macro avg 0.28 0.50 0.36 49315492
weighted avg 0.32 0.57 0.41 49315492
Accuracy: 0.568830419455209
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
precision recall f1-score support
0 0.57 1.00 0.72 28054607
1 0.00 0.00 0.00 21520956
accuracy 0.57 49575563
macro avg 0.28 0.50 0.36 49575563
weighted avg 0.32 0.57 0.41 49575563
Accuracy: 0.5658958830180103
20-40%
precision recall f1-score support
0 0.56 1.00 0.72 28055266
1 0.00 0.00 0.00 21651524
accuracy 0.56 49706790
macro avg 0.28 0.50 0.36 49706790
weighted avg 0.32 0.56 0.41 49706790
Accuracy: 0.5644151634012174
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
precision recall f1-score support
0 0.56 1.00 0.72 28055435
1 0.00 0.00 0.00 21716758
accuracy 0.56 49772193
macro avg 0.28 0.50 0.36 49772193
weighted avg 0.32 0.56 0.41 49772193
Accuracy: 0.5636768908293834
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: 0.5
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
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
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 0.63 1.00 0.77 25421477
1 0.00 0.00 0.00 14975241
accuracy 0.63 40396718
macro avg 0.31 0.50 0.39 40396718
weighted avg 0.40 0.63 0.49 40396718
Accuracy: 0.6292956026774255
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 0.59 1.00 0.74 25924842
1 0.00 0.00 0.00 18362515
accuracy 0.59 44287357
macro avg 0.29 0.50 0.37 44287357
weighted avg 0.34 0.59 0.43 44287357
Accuracy: 0.5853779443194138
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 0.56 1.00 0.72 26072330
1 0.00 0.00 0.00 20332940
accuracy 0.56 46405270
macro avg 0.28 0.50 0.36 46405270
weighted avg 0.32 0.56 0.40 46405270
Accuracy: 0.561839851378949
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 0.55 1.00 0.71 26113946
1 0.00 0.00 0.00 21397219
accuracy 0.55 47511165
macro avg 0.27 0.50 0.35 47511165
weighted avg 0.30 0.55 0.39 47511165
Accuracy: 0.549638090330978
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: 0.5
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
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 0.73 1.00 0.84 21822692
1 0.00 0.00 0.00 8020644
accuracy 0.73 29843336
macro avg 0.37 0.50 0.42 29843336
weighted avg 0.53 0.73 0.62 29843336
Accuracy: 0.7312417083666518
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 0.64 1.00 0.78 23880186
1 0.00 0.00 0.00 13481800
accuracy 0.64 37361986
macro avg 0.32 0.50 0.39 37361986
weighted avg 0.41 0.64 0.50 37361986
Accuracy: 0.6391572974734266
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 0.58 1.00 0.74 24625160
1 0.00 0.00 0.00 17542339
accuracy 0.58 42167499
macro avg 0.29 0.50 0.37 42167499
weighted avg 0.34 0.58 0.43 42167499
Accuracy: 0.5839843619845702
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 0.55 1.00 0.71 24861069
1 0.00 0.00 0.00 20026114
accuracy 0.55 44887183
macro avg 0.28 0.50 0.36 44887183
weighted avg 0.31 0.55 0.39 44887183
Accuracy: 0.553856743471739
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: 0.5
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
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
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.91 1.00 0.95 12989887
1 0.00 0.00 0.00 1271288
accuracy 0.91 14261175
macro avg 0.46 0.50 0.48 14261175
weighted avg 0.83 0.91 0.87 14261175
Accuracy: 0.9108567141206808
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 0.78 1.00 0.88 18034328
1 0.00 0.00 0.00 5083660
accuracy 0.78 23117988
macro avg 0.39 0.50 0.44 23117988
weighted avg 0.61 0.78 0.68 23117988
Accuracy: 0.7800993754300763
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
precision recall f1-score support
0 0.66 1.00 0.80 21029926
1 0.00 0.00 0.00 10666875
accuracy 0.66 31696801
macro avg 0.33 0.50 0.40 31696801
weighted avg 0.44 0.66 0.53 31696801
Accuracy: 0.6634715597955768
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
precision recall f1-score support
0 0.59 1.00 0.74 22324987
1 0.00 0.00 0.00 15668439
accuracy 0.59 37993426
macro avg 0.29 0.50 0.37 37993426
weighted avg 0.35 0.59 0.43 37993426
Accuracy: 0.5876013129218723
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_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| Offline Clock 1st iteration | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 10440865 | 0.405174 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 6871009 | 0.408576 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 6868738 | 0.408583 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 6868367 | 0.408585 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 8034724 | 0.412051 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 5728960 | 0.412332 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 5728284 | 0.412336 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 5727499 | 0.41234 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 7858430 | 0.41261 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 7758890 | 0.412933 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 8242479 | 0.413734 | ../../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=0.5] | 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_vtime[cache_size=0.01,treshold=0.5] | 2199323 | 0.435544 | ../../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_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| Offline Clock 1st iteration | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 10270931 | 0.213823 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 10253401 | 0.213858 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 10180987 | 0.213996 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 7344265 | 0.216761 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 7342936 | 0.216761 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 7345719 | 0.216767 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 8225475 | 0.218649 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 4942236 | 0.221451 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 4936645 | 0.221467 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 4925755 | 0.221508 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 6739749 | 0.221977 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 6733932 | 0.221993 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 6729461 | 0.222005 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 5703595 | 0.223686 | ../../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_decay_vtime[cache_size=0.1,treshold=0.5] | 420889 | 0.248217 | ../../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_w_0_5[cache_size=0.2,treshold=0.5] | 10000330 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| Offline Clock 1st iteration | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 10000053 | 0.152751 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 9556774 | 0.15347 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 9544770 | 0.153491 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 9537934 | 0.153501 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 5213851 | 0.15956 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 6418211 | 0.159616 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 6415977 | 0.159622 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 6413286 | 0.159628 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 5012866 | 0.16254 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 4633419 | 0.163288 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 4628345 | 0.163297 | ../../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_decay_vtime[cache_size=0.2,treshold=0.5] | 217023 | 0.183617 | ../../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_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 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_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 8875272 | 0.0901127 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 8875082 | 0.090113 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 8873274 | 0.0901154 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 8871109 | 0.0901184 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 8871109 | 0.0901184 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 8869507 | 0.0901196 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 6212278 | 0.0935659 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 6210618 | 0.0935684 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 6210561 | 0.0935685 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 6209984 | 0.0935694 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 6209434 | 0.0935707 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 6209395 | 0.0935708 | ../../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_decay_vtime[cache_size=0.4,treshold=0.5] | 87314 | 0.113052 | ../../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_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| Offline Clock 1st iteration | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 10437518 | 0.405348 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 6869407 | 0.40874 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 6867350 | 0.408746 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 6867037 | 0.408747 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 8031581 | 0.412232 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 5726004 | 0.412496 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 5725118 | 0.4125 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 5724526 | 0.412503 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 7853577 | 0.412794 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 7754885 | 0.413109 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 8239578 | 0.413925 | ../../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=0.5] | 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_vtime[cache_size=0.01,treshold=0.5] | 2199923 | 0.435688 | ../../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_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 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_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 10271995 | 0.213988 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 10256628 | 0.214019 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 10183372 | 0.21416 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 7342209 | 0.216934 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 7343378 | 0.216936 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 7344877 | 0.216942 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 8231439 | 0.218805 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 4943629 | 0.221601 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 4936727 | 0.221616 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 4925687 | 0.221659 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 6742116 | 0.222142 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 6736544 | 0.222158 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 6732196 | 0.22217 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 5705574 | 0.223839 | ../../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_7_decay_rtime[cache_size=0.1,treshold=0.5] | 3704837 | 0.226332 | ../../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_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_decay_vtime[cache_size=0.1,treshold=0.5] | 420884 | 0.248365 | ../../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_w_0_5[cache_size=0.2,treshold=0.5] | 10010456 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| Offline Clock 1st iteration | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 10010202 | 0.152837 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 9568890 | 0.153551 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 9557105 | 0.153572 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 9550261 | 0.153584 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 5216755 | 0.159664 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 6422871 | 0.159729 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 6420490 | 0.159735 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 6417610 | 0.159743 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 5017335 | 0.162652 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 4638118 | 0.163395 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 4633154 | 0.163404 | ../../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_decay_vtime[cache_size=0.2,treshold=0.5] | 216807 | 0.183694 | ../../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_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 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_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 8886004 | 0.090124 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 8885767 | 0.090124 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 8884109 | 0.0901252 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 8882262 | 0.0901278 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 8882262 | 0.0901278 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 8880669 | 0.0901298 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 6217889 | 0.0935949 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 6216166 | 0.0935974 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 6216062 | 0.0935977 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 6215585 | 0.0935983 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 6215091 | 0.0935984 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 6215014 | 0.0935986 | ../../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_decay_vtime[cache_size=0.4,treshold=0.5] | 87208 | 0.113083 | ../../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_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 10439467 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| Offline Clock 1st iteration | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 6870902 | 0.408634 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 6868887 | 0.408641 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 6868291 | 0.408644 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 8034924 | 0.412109 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 5730281 | 0.412374 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 5729504 | 0.412378 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 5728852 | 0.412381 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 7858768 | 0.412659 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 7759105 | 0.412981 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 8240720 | 0.413818 | ../../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=0.5] | 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_vtime[cache_size=0.01,treshold=0.5] | 2203235 | 0.435565 | ../../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_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 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_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 10269872 | 0.213858 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 10252779 | 0.213892 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 10179153 | 0.214034 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 7337822 | 0.216822 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 7339060 | 0.216824 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 7340514 | 0.21683 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 8225622 | 0.218677 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 4940973 | 0.221476 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 4935473 | 0.221493 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 4924490 | 0.221535 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 6734956 | 0.222037 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 6729337 | 0.222053 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 6724569 | 0.222067 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 5702001 | 0.223727 | ../../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_7_decay_rtime[cache_size=0.1,treshold=0.5] | 3704953 | 0.226195 | ../../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_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_decay_vtime[cache_size=0.1,treshold=0.5] | 420548 | 0.248225 | ../../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_w_0_5[cache_size=0.2,treshold=0.5] | 10002812 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| Offline Clock 1st iteration | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 10002465 | 0.152786 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 9560462 | 0.153499 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 9548445 | 0.153521 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 9541670 | 0.153532 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 5213195 | 0.159614 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 6415091 | 0.159667 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 6412682 | 0.159673 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 6409686 | 0.159682 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 5012482 | 0.162593 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 4634753 | 0.163329 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 4629811 | 0.163337 | ../../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_decay_vtime[cache_size=0.2,treshold=0.5] | 216929 | 0.183643 | ../../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_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 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_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 8882245 | 0.0900872 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 8881989 | 0.0900875 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 8880142 | 0.0900897 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 8878006 | 0.0900926 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 8878006 | 0.0900926 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 8876235 | 0.0900952 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 6213882 | 0.0935793 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 6212381 | 0.093582 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 6212263 | 0.0935824 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 6211569 | 0.0935837 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 6210982 | 0.0935847 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 6210939 | 0.0935849 | ../../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_decay_vtime[cache_size=0.4,treshold=0.5] | 87284 | 0.113031 | ../../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_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 10439616 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| Offline Clock 1st iteration | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 6872222 | 0.408567 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 6870251 | 0.408573 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 6869797 | 0.408576 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 8036225 | 0.412065 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 5727110 | 0.412326 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 5726248 | 0.41233 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 5725344 | 0.412333 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 7859222 | 0.412622 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 7760967 | 0.412938 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 8243229 | 0.413757 | ../../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=0.5] | 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_vtime[cache_size=0.01,treshold=0.5] | 2200039 | 0.435536 | ../../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_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| Offline Clock 1st iteration | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 10265503 | 0.213827 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 10246600 | 0.213863 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 10173266 | 0.214004 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 7339829 | 0.216762 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 7341125 | 0.216763 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 7342591 | 0.216769 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 8222957 | 0.218635 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 4945810 | 0.221416 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 4940444 | 0.221432 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 4928355 | 0.221478 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 6736293 | 0.221977 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 6730462 | 0.221994 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 6725943 | 0.222006 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 5703945 | 0.223677 | ../../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_decay_vtime[cache_size=0.1,treshold=0.5] | 420590 | 0.248191 | ../../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_w_0_5[cache_size=0.2,treshold=0.5] | 10001014 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| Offline Clock 1st iteration | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 10000689 | 0.152707 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 9557960 | 0.153421 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 9546034 | 0.153441 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 9539359 | 0.153452 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 5209868 | 0.159533 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 6416264 | 0.159598 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 6414024 | 0.159604 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 6410976 | 0.159612 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 5012318 | 0.162518 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 4633926 | 0.163246 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 4628946 | 0.163257 | ../../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_8_decay_rtime[cache_size=0.2,treshold=0.5] | 3311610 | 0.16718 | ../../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_decay_vtime[cache_size=0.2,treshold=0.5] | 216802 | 0.183554 | ../../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_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 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_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 8876034 | 0.0900369 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 8875782 | 0.0900375 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 8873976 | 0.0900393 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 8871898 | 0.0900416 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 8871898 | 0.0900416 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 8870323 | 0.0900431 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 6207283 | 0.0935239 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 6205736 | 0.0935259 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 6205631 | 0.093526 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 6205050 | 0.0935274 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 6204563 | 0.0935274 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 6204516 | 0.0935275 | ../../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_decay_vtime[cache_size=0.4,treshold=0.5] | 87300 | 0.112988 | ../../result/log/zipf_1_18 | 0.4 | 1 |
zipf_1_19
Ignore Obj Size
0.01
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 6047379 | 0.403776 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| Zipf Optimal Distribution | 9518278 | 0.404475 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| Offline Clock 1st iteration | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] | 10442674 | 0.405257 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 6870202 | 0.40863 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 6868092 | 0.408636 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] | 6867548 | 0.408639 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 8038537 | 0.412114 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 5729486 | 0.412374 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 5728669 | 0.412378 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 5728158 | 0.412379 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 7861385 | 0.412668 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] | 7762167 | 0.412987 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] | 8244858 | 0.413813 | ../../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=0.5] | 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_vtime[cache_size=0.01,treshold=0.5] | 2201811 | 0.435574 | ../../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_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 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_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 10267913 | 0.213888 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 10250819 | 0.213922 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] | 10178551 | 0.214057 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 7339958 | 0.216839 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 7341063 | 0.216841 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 7342811 | 0.216847 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] | 8225582 | 0.218702 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 4944365 | 0.22149 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 4939071 | 0.221505 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 4927336 | 0.221548 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 6738149 | 0.222055 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 6732679 | 0.22207 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] | 6728160 | 0.222082 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] | 5704563 | 0.223749 | ../../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_decay_vtime[cache_size=0.1,treshold=0.5] | 421338 | 0.248257 | ../../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_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| Offline Clock 1st iteration | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 10003403 | 0.152792 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] | 10003166 | 0.152792 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 9561609 | 0.153505 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 9549551 | 0.153526 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] | 9542561 | 0.153538 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 5211471 | 0.159619 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 6419320 | 0.15967 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 6416760 | 0.159677 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] | 6413917 | 0.159685 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 5014727 | 0.162587 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 4634872 | 0.163328 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] | 4630019 | 0.163338 | ../../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_decay_vtime[cache_size=0.2,treshold=0.5] | 216718 | 0.183648 | ../../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_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 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_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 8885718 | 0.0900705 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 8885540 | 0.0900707 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 8883733 | 0.0900732 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] | 8881911 | 0.0900756 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 8881911 | 0.0900756 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] | 8880205 | 0.0900783 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 6213305 | 0.0935792 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 6211696 | 0.093582 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 6211630 | 0.0935821 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 6210984 | 0.0935835 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] | 6210437 | 0.0935847 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] | 6210484 | 0.0935848 | ../../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_decay_vtime[cache_size=0.4,treshold=0.5] | 86897 | 0.113065 | ../../result/log/zipf_1_19 | 0.4 | 1 |