Zipf1 Weighted Models with Treshold 0.3 Test Data Result Obj Size Ignored
Result
Model Summaries
| Model | Better than base % of the times |
|---|
| LR_7[cache_size=0.01,treshold=0.3] | 0 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 0 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.3] | 0 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.3] | 0 |
| LR_8[cache_size=0.01,treshold=0.3] | 0 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.3] | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 0 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.3] | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 0 |
| LR_9[cache_size=0.01,treshold=0.3] | 0 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.3] | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 0 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.3] | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 0 |
| LR_7[cache_size=0.1,treshold=0.3] | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 0 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.3] | 0 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.3] | 0 |
| LR_8[cache_size=0.1,treshold=0.3] | 0 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.3] | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 0 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.3] | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 0 |
| LR_9[cache_size=0.1,treshold=0.3] | 0 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.3] | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 0 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.3] | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 0 |
| LR_7[cache_size=0.2,treshold=0.3] | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 0 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.3] | 0 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.3] | 0 |
| LR_8[cache_size=0.2,treshold=0.3] | 0 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.3] | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 0 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.3] | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 0 |
| LR_9[cache_size=0.2,treshold=0.3] | 0 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.3] | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 0 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.3] | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 0 |
| LR_7[cache_size=0.4,treshold=0.3] | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 0 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 0 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 0 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 0 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 0 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.3] | 0 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.3] | 0 |
| LR_8[cache_size=0.4,treshold=0.3] | 0 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.3] | 0 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 0 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 0 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.3] | 0 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 0 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 0 |
| LR_9[cache_size=0.4,treshold=0.3] | 0 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.3] | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 0 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 0 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.3] | 0 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 0 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | 0 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 0 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 0 |
| Offline Clock 1st iteration | 0 |
| Offline Clock 2nd iteration | 100 |
| Zipf Optimal Distribution | 100 |
| Model | Max | Min | Avg | Mdn |
|---|
| LR_7[cache_size=0.01,treshold=0.3] | 72.9112 | 72.8872 | 72.9017 | 72.9019 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | 67.8282 | 67.7813 | 67.7968 | 67.7885 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 54.2435 | 54.2164 | 54.2332 | 54.2382 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 60.864 | 60.8278 | 60.8435 | 60.8458 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 85.2614 | 85.2307 | 85.2454 | 85.2447 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 57.7658 | 57.7157 | 57.7425 | 57.7425 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 74.313 | 74.2862 | 74.2995 | 74.305 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.3] | 55.4242 | 55.403 | 55.4171 | 55.4175 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.3] | 64.4934 | 64.4729 | 64.4842 | 64.4867 |
| LR_8[cache_size=0.01,treshold=0.3] | 72.8949 | 72.8688 | 72.8854 | 72.8871 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.3] | 67.8117 | 67.764 | 67.7806 | 67.7732 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 54.2421 | 54.2154 | 54.232 | 54.2363 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 60.8584 | 60.8218 | 60.8384 | 60.8414 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.3] | 86.0577 | 86.0382 | 86.0477 | 86.0474 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 57.5762 | 57.5278 | 57.554 | 57.5526 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 74.1675 | 74.1355 | 74.1503 | 74.1536 |
| LR_9[cache_size=0.01,treshold=0.3] | 72.8692 | 72.8397 | 72.8569 | 72.8571 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.3] | 67.8225 | 67.7773 | 67.7931 | 67.7856 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 54.2361 | 54.2072 | 54.2247 | 54.2296 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 60.8445 | 60.8133 | 60.8274 | 60.8313 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.3] | 86.6303 | 86.6167 | 86.6239 | 86.6227 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 58.249 | 58.202 | 58.2256 | 58.2289 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 75.428 | 75.3953 | 75.4157 | 75.4193 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | 83.1648 | 83.1519 | 83.1572 | 83.1548 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 53.491 | 53.4687 | 53.4817 | 53.4827 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 71.9372 | 71.9115 | 71.9242 | 71.9266 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | 88.7381 | 88.7268 | 88.7324 | 88.7316 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 76.2075 | 76.1658 | 76.1886 | 76.1883 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 83.7274 | 83.6894 | 83.7029 | 83.6977 |
| LR_7[cache_size=0.1,treshold=0.3] | 73.4806 | 73.4522 | 73.4674 | 73.4736 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 75.7924 | 75.7577 | 75.78 | 75.7855 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 63.2267 | 63.1686 | 63.1959 | 63.1987 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 70.0661 | 70.0286 | 70.0453 | 70.0476 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 83.629 | 83.5877 | 83.6089 | 83.6057 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 58.5434 | 58.4967 | 58.524 | 58.5267 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 72.9182 | 72.8858 | 72.902 | 72.9004 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.3] | 58.2086 | 58.162 | 58.189 | 58.1923 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.3] | 66.4711 | 66.4393 | 66.4598 | 66.4702 |
| LR_8[cache_size=0.1,treshold=0.3] | 73.4806 | 73.4536 | 73.4681 | 73.4754 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.3] | 75.7952 | 75.7602 | 75.7827 | 75.7877 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 63.2181 | 63.1602 | 63.1882 | 63.1913 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 70.1041 | 70.0658 | 70.0844 | 70.087 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.3] | 83.8626 | 83.835 | 83.8475 | 83.8441 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 58.6902 | 58.6421 | 58.668 | 58.6733 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 72.8589 | 72.828 | 72.8436 | 72.8426 |
| LR_9[cache_size=0.1,treshold=0.3] | 73.4937 | 73.4658 | 73.4809 | 73.4873 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.3] | 75.8057 | 75.7712 | 75.7945 | 75.8 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 63.2133 | 63.1545 | 63.1829 | 63.1871 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 70.112 | 70.0761 | 70.0929 | 70.0941 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.3] | 83.9784 | 83.9536 | 83.9649 | 83.9617 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 58.7956 | 58.7424 | 58.7694 | 58.7759 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 72.9787 | 72.9474 | 72.9631 | 72.9625 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | 78.3511 | 78.3288 | 78.3419 | 78.341 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 61.2032 | 61.1443 | 61.1787 | 61.1887 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 72.4953 | 72.4485 | 72.4722 | 72.4755 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | 98.1198 | 98.1126 | 98.1156 | 98.1159 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 94.891 | 94.8782 | 94.8854 | 94.8888 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 97.4697 | 97.4579 | 97.4629 | 97.464 |
| LR_7[cache_size=0.2,treshold=0.3] | 73.8603 | 73.8424 | 73.8544 | 73.856 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 81.2642 | 81.246 | 81.2538 | 81.2525 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 65.8205 | 65.7842 | 65.8017 | 65.7992 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 73.1319 | 73.1152 | 73.1232 | 73.1218 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 82.5892 | 82.5715 | 82.5787 | 82.5759 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 58.3578 | 58.3373 | 58.3465 | 58.3439 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 71.6187 | 71.6027 | 71.6098 | 71.6096 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.3] | 58.2102 | 58.1745 | 58.1917 | 58.1928 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.3] | 66.7312 | 66.7046 | 66.7151 | 66.7107 |
| LR_8[cache_size=0.2,treshold=0.3] | 73.8387 | 73.8212 | 73.8336 | 73.836 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.3] | 81.3732 | 81.3563 | 81.3634 | 81.3625 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 65.823 | 65.7874 | 65.8041 | 65.8017 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 73.1447 | 73.1277 | 73.1355 | 73.1327 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.3] | 82.5519 | 82.5307 | 82.5397 | 82.5381 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 58.3326 | 58.3115 | 58.3211 | 58.3199 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 71.7434 | 71.7241 | 71.734 | 71.7357 |
| LR_9[cache_size=0.2,treshold=0.3] | 73.8693 | 73.8515 | 73.8635 | 73.8653 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.3] | 81.1785 | 81.1599 | 81.1692 | 81.1711 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 65.7836 | 65.7456 | 65.7632 | 65.7604 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 71.6973 | 71.6539 | 71.6778 | 71.6811 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.3] | 82.6194 | 82.6005 | 82.6088 | 82.6057 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 58.3706 | 58.3493 | 58.359 | 58.3555 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 71.787 | 71.7699 | 71.7799 | 71.7831 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | 79.7827 | 79.773 | 79.7775 | 79.7776 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 64.5376 | 64.4798 | 64.5076 | 64.5048 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 72.6257 | 72.608 | 72.6152 | 72.6135 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | 98.985 | 98.9794 | 98.9816 | 98.9811 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 98.7195 | 98.7139 | 98.7164 | 98.7165 |
| LR_7[cache_size=0.4,treshold=0.3] | 74.2504 | 74.2035 | 74.2236 | 74.2211 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6364 | 80.5942 | 80.6168 | 80.6126 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4721 | 54.4275 | 54.4431 | 54.4419 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5555 | 67.5393 | 67.5453 | 67.5409 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4395 | 80.4036 | 80.4236 | 80.4182 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4797 | 54.436 | 54.451 | 54.4495 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5177 | 67.5005 | 67.5073 | 67.5015 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.3] | 55.7618 | 55.6841 | 55.7177 | 55.7096 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.3] | 65.3397 | 65.3061 | 65.3203 | 65.3204 |
| LR_8[cache_size=0.4,treshold=0.3] | 74.2465 | 74.1996 | 74.2199 | 74.2175 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6287 | 80.5871 | 80.6099 | 80.6074 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4732 | 54.4286 | 54.4443 | 54.4433 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5519 | 67.5344 | 67.5412 | 67.5369 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4316 | 80.3961 | 80.4157 | 80.4101 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4732 | 54.4286 | 54.4443 | 54.4433 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5117 | 67.4935 | 67.5003 | 67.4942 |
| LR_9[cache_size=0.4,treshold=0.3] | 74.2536 | 74.2062 | 74.2265 | 74.2239 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6459 | 80.6046 | 80.6267 | 80.6239 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4746 | 54.4303 | 54.4459 | 54.445 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5552 | 67.5382 | 67.5444 | 67.5399 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4505 | 80.4124 | 80.4333 | 80.4278 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4825 | 54.4386 | 54.4539 | 54.4519 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5249 | 67.5064 | 67.5136 | 67.5077 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | 86.2779 | 86.2688 | 86.2733 | 86.2719 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 74.6069 | 74.5577 | 74.5913 | 74.598 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 81.0729 | 81.0331 | 81.0526 | 81.0465 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | 99.6132 | 99.606 | 99.6094 | 99.6089 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 99.4498 | 99.4461 | 99.4481 | 99.4481 |
| Offline Clock 1st iteration | 0 | 0 | 0 | 0 |
| Offline Clock 2nd iteration | 43.4673 | 41.4753 | 42.6567 | 43.0175 |
| Zipf Optimal Distribution | 17.0869 | 6.59027 | 12.1282 | 13.1121 |
Miss Ratio Reduced (%)
| Model | Max | Min | Avg | Mdn |
|---|
| LR_7[cache_size=0.01,treshold=0.3] | -5.65544 | -5.67042 | -5.65936 | -5.65663 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | -4.58077 | -4.59878 | -4.58505 | -4.58171 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | -2.73975 | -2.75487 | -2.74516 | -2.74334 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | -3.58218 | -3.59772 | -3.58639 | -3.58329 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | -8.4021 | -8.41912 | -8.40882 | -8.40943 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | -4.9354 | -4.95097 | -4.94202 | -4.93997 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | -6.90033 | -6.91705 | -6.90691 | -6.90569 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.3] | -3.37614 | -3.39188 | -3.38429 | -3.38525 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.3] | -4.46582 | -4.48105 | -4.47287 | -4.47239 |
| LR_8[cache_size=0.01,treshold=0.3] | -5.65494 | -5.67042 | -5.65912 | -5.65639 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.3] | -4.5783 | -4.59631 | -4.58258 | -4.57924 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | -2.73975 | -2.75487 | -2.74502 | -2.74309 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | -3.58144 | -3.59698 | -3.58579 | -3.58267 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.3] | -8.52449 | -8.54104 | -8.53082 | -8.52986 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | -4.91418 | -4.92876 | -4.9206 | -4.91801 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | -6.88824 | -6.9052 | -6.89457 | -6.89317 |
| LR_9[cache_size=0.01,treshold=0.3] | -5.6581 | -5.67239 | -5.66163 | -5.65865 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.3] | -4.58052 | -4.59779 | -4.58455 | -4.58121 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | -2.73876 | -2.75364 | -2.74403 | -2.7421 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | -3.57996 | -3.59501 | -3.58441 | -3.58181 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.3] | -8.61998 | -8.6336 | -8.62434 | -8.62364 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | -4.98771 | -5.00157 | -4.99334 | -4.99062 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | -7.05011 | -7.06291 | -7.05428 | -7.05223 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | -7.43061 | -7.44472 | -7.43415 | -7.43189 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | -4.22967 | -4.23449 | -4.23168 | -4.23204 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | -5.91774 | -5.93154 | -5.92128 | -5.91937 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | -8.89485 | -8.90928 | -8.89904 | -8.89709 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | -7.11723 | -7.13103 | -7.12199 | -7.11933 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | -8.1472 | -8.16589 | -8.15401 | -8.15315 |
| LR_7[cache_size=0.1,treshold=0.3] | -8.14738 | -8.16586 | -8.15211 | -8.14887 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | -8.5622 | -8.57836 | -8.56731 | -8.56651 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | -5.61104 | -5.63613 | -5.61787 | -5.61404 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | -7.11941 | -7.14115 | -7.12607 | -7.12355 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | -12.6236 | -12.6359 | -12.6307 | -12.6318 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | -7.44779 | -7.46059 | -7.45393 | -7.4539 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | -10.1826 | -10.1984 | -10.1886 | -10.1884 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.3] | -4.86441 | -4.87333 | -4.86864 | -4.87019 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.3] | -6.50332 | -6.51679 | -6.50747 | -6.50592 |
| LR_8[cache_size=0.1,treshold=0.3] | -8.14691 | -8.16539 | -8.15183 | -8.14887 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.3] | -8.56267 | -8.5793 | -8.56825 | -8.56745 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | -5.61057 | -5.63519 | -5.61713 | -5.61323 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | -7.12596 | -7.14817 | -7.13252 | -7.12916 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.3] | -12.684 | -12.694 | -12.6889 | -12.6879 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | -7.47302 | -7.48631 | -7.47862 | -7.47588 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | -10.1695 | -10.1863 | -10.1762 | -10.1767 |
| LR_9[cache_size=0.1,treshold=0.3] | -8.15076 | -8.1696 | -8.15595 | -8.15308 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.3] | -8.56547 | -8.58211 | -8.57124 | -8.57072 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | -5.60964 | -5.63473 | -5.61638 | -5.61264 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | -7.12876 | -7.15051 | -7.13524 | -7.13244 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.3] | -12.7139 | -12.723 | -12.7181 | -12.7174 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | -7.48938 | -7.50595 | -7.4963 | -7.49365 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | -10.1947 | -10.2111 | -10.2013 | -10.2015 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | -9.71045 | -9.73169 | -9.71782 | -9.71514 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | -6.69633 | -6.71462 | -6.70264 | -6.7014 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | -8.33941 | -8.35855 | -8.34428 | -8.34062 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | -16.8055 | -16.8289 | -16.814 | -16.8116 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | -15.7438 | -15.7677 | -15.7529 | -15.7511 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | -16.5817 | -16.602 | -16.5901 | -16.5877 |
| LR_7[cache_size=0.2,treshold=0.3] | -9.1235 | -9.12733 | -9.12527 | -9.12554 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | -12.5516 | -12.561 | -12.555 | -12.5537 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | -9.264 | -9.27796 | -9.27451 | -9.27672 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | -10.8357 | -10.8447 | -10.8422 | -10.8437 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | -14.5905 | -14.6003 | -14.597 | -14.598 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | -8.50542 | -8.51305 | -8.50762 | -8.50654 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | -11.5365 | -11.5503 | -11.5428 | -11.5432 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.3] | -5.11241 | -5.13119 | -5.12183 | -5.1203 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.3] | -7.0946 | -7.10709 | -7.09966 | -7.09861 |
| LR_8[cache_size=0.2,treshold=0.3] | -9.11762 | -9.12144 | -9.11951 | -9.11965 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.3] | -12.5581 | -12.5669 | -12.5619 | -12.5608 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | -9.264 | -9.27796 | -9.27398 | -9.27607 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | -10.8357 | -10.845 | -10.8426 | -10.8444 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.3] | -14.5794 | -14.5879 | -14.5855 | -14.5869 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | -8.50016 | -8.50781 | -8.50238 | -8.5013 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | -11.5679 | -11.5824 | -11.5741 | -11.5738 |
| LR_9[cache_size=0.2,treshold=0.3] | -9.12612 | -9.12995 | -9.12815 | -9.12816 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.3] | -12.5444 | -12.5532 | -12.5478 | -12.5459 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | -9.25942 | -9.27403 | -9.26993 | -9.27214 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | -9.37672 | -9.39771 | -9.38605 | -9.38602 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.3] | -14.6003 | -14.6101 | -14.6065 | -14.6078 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | -8.50802 | -8.51501 | -8.50998 | -8.50916 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | -11.581 | -11.5948 | -11.5862 | -11.5851 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | -12.64 | -12.6507 | -12.6458 | -12.6465 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | -9.14946 | -9.17258 | -9.1631 | -9.16546 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | -10.9188 | -10.9295 | -10.9264 | -10.9281 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | -20.7329 | -20.747 | -20.7376 | -20.7363 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | -20.6044 | -20.6219 | -20.6106 | -20.6094 |
| LR_7[cache_size=0.4,treshold=0.3] | -9.49325 | -9.54149 | -9.51692 | -9.51555 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | -16.3829 | -16.4379 | -16.4154 | -16.4254 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | -8.49455 | -8.54186 | -8.52094 | -8.52503 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | -11.9291 | -12.0086 | -11.9638 | -11.9617 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | -16.3261 | -16.3777 | -16.3581 | -16.3686 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | -8.49667 | -8.54432 | -8.52293 | -8.52615 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | -11.9158 | -11.9986 | -11.9522 | -11.9516 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.3] | -4.41124 | -4.45493 | -4.43714 | -4.44242 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.3] | -6.61887 | -6.67648 | -6.64697 | -6.64378 |
| LR_8[cache_size=0.4,treshold=0.3] | -9.49247 | -9.54104 | -9.51637 | -9.51499 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.3] | -16.3796 | -16.4357 | -16.4132 | -16.4232 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | -8.495 | -8.54231 | -8.5213 | -8.52537 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | -11.9269 | -12.0075 | -11.9622 | -11.9594 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.3] | -16.3228 | -16.3755 | -16.355 | -16.3652 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | -8.495 | -8.54231 | -8.5213 | -8.52537 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | -11.9146 | -11.9964 | -11.9502 | -11.9494 |
| LR_9[cache_size=0.4,treshold=0.3] | -9.4938 | -9.54238 | -9.51777 | -9.51655 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.3] | -16.3874 | -16.4424 | -16.4201 | -16.4288 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | -8.49522 | -8.54287 | -8.5217 | -8.52548 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | -11.928 | -12.0086 | -11.9636 | -11.9617 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.3] | -16.3294 | -16.3822 | -16.3617 | -16.3719 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | -8.49767 | -8.54532 | -8.52373 | -8.52693 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | -11.918 | -12.0008 | -11.954 | -11.9527 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | -18.2884 | -18.3529 | -18.3273 | -18.3383 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | -13.9181 | -13.9629 | -13.9473 | -13.9515 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | -16.2046 | -16.2607 | -16.2395 | -16.2559 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | -26.3892 | -26.4608 | -26.4262 | -26.4192 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 0 | 0 | 0 | 0 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | -26.2633 | -26.3382 | -26.3014 | -26.2943 |
| 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_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 54.2247 | -2.74403 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 54.232 | -2.74502 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 54.2332 | -2.74516 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.3] | 55.4171 | -3.38429 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 60.8274 | -3.58441 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 60.8384 | -3.58579 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 60.8435 | -3.58639 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 53.4817 | -4.23168 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.3] | 55.7177 | -4.43714 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.3] | 64.4842 | -4.47287 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.3] | 67.7806 | -4.58258 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.3] | 67.7931 | -4.58455 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | 67.7968 | -4.58505 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.3] | 58.189 | -4.86864 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 57.554 | -4.9206 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 57.7425 | -4.94202 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 58.2256 | -4.99334 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.3] | 58.1917 | -5.12183 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 63.1829 | -5.61638 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 63.1882 | -5.61713 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 63.1959 | -5.61787 |
| LR_8[cache_size=0.01,treshold=0.3] | 72.8854 | -5.65912 |
| LR_7[cache_size=0.01,treshold=0.3] | 72.9017 | -5.65936 |
| LR_9[cache_size=0.01,treshold=0.3] | 72.8569 | -5.66163 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 71.9242 | -5.92128 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.3] | 66.4598 | -6.50747 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.3] | 65.3203 | -6.64697 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 61.1787 | -6.70264 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 74.1503 | -6.89457 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 74.2995 | -6.90691 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 75.4157 | -7.05428 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.3] | 66.7151 | -7.09966 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 76.1886 | -7.12199 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 70.0453 | -7.12607 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 70.0844 | -7.13252 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 70.0929 | -7.13524 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | 83.1572 | -7.43415 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 58.524 | -7.45393 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 58.668 | -7.47862 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 58.7694 | -7.4963 |
| LR_8[cache_size=0.1,treshold=0.3] | 73.4681 | -8.15183 |
| LR_7[cache_size=0.1,treshold=0.3] | 73.4674 | -8.15211 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 83.7029 | -8.15401 |
| LR_9[cache_size=0.1,treshold=0.3] | 73.4809 | -8.15595 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 72.4722 | -8.34428 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 85.2454 | -8.40882 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 58.3211 | -8.50238 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 58.3465 | -8.50762 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 58.359 | -8.50998 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4431 | -8.52094 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4443 | -8.5213 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4443 | -8.5213 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4459 | -8.5217 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.451 | -8.52293 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4539 | -8.52373 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.3] | 86.0477 | -8.53082 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 75.78 | -8.56731 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.3] | 75.7827 | -8.56825 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.3] | 75.7945 | -8.57124 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.3] | 86.6239 | -8.62434 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | 88.7324 | -8.89904 |
| LR_8[cache_size=0.2,treshold=0.3] | 73.8336 | -9.11951 |
| LR_7[cache_size=0.2,treshold=0.3] | 73.8544 | -9.12527 |
| LR_9[cache_size=0.2,treshold=0.3] | 73.8635 | -9.12815 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 64.5076 | -9.1631 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 65.7632 | -9.26993 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 65.8041 | -9.27398 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 65.8017 | -9.27451 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 71.6778 | -9.38605 |
| LR_8[cache_size=0.4,treshold=0.3] | 74.2199 | -9.51637 |
| LR_7[cache_size=0.4,treshold=0.3] | 74.2236 | -9.51692 |
| LR_9[cache_size=0.4,treshold=0.3] | 74.2265 | -9.51777 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | 78.3419 | -9.71782 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 72.8436 | -10.1762 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 72.902 | -10.1886 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 72.9631 | -10.2013 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 73.1232 | -10.8422 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 73.1355 | -10.8426 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 72.6152 | -10.9264 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 71.6098 | -11.5428 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 71.734 | -11.5741 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 71.7799 | -11.5862 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5003 | -11.9502 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5073 | -11.9522 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5136 | -11.954 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5412 | -11.9622 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5444 | -11.9636 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5453 | -11.9638 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.3] | 81.1692 | -12.5478 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 81.2538 | -12.555 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.3] | 81.3634 | -12.5619 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 83.6089 | -12.6307 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | 79.7775 | -12.6458 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.3] | 83.8475 | -12.6889 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.3] | 83.9649 | -12.7181 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 74.5913 | -13.9473 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.3] | 82.5397 | -14.5855 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 82.5787 | -14.597 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.3] | 82.6088 | -14.6065 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 94.8854 | -15.7529 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 81.0526 | -16.2395 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4157 | -16.355 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4236 | -16.3581 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4333 | -16.3617 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6099 | -16.4132 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6168 | -16.4154 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6267 | -16.4201 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 97.4629 | -16.5901 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | 98.1156 | -16.814 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | 86.2733 | -18.3273 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 98.7164 | -20.6106 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | 98.9816 | -20.7376 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 99.4481 | -26.3014 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | 99.6094 | -26.4262 |
Cache Size 0.01
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 42.0861 | 0.362449 |
| Zipf Optimal Distribution | 8.83002 | 0.192773 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 54.2247 | -2.74403 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 54.232 | -2.74502 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 54.2332 | -2.74516 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.3] | 55.4171 | -3.38429 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 60.8274 | -3.58441 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 60.8384 | -3.58579 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 60.8435 | -3.58639 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 53.4817 | -4.23168 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.3] | 64.4842 | -4.47287 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.3] | 67.7806 | -4.58258 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.3] | 67.7931 | -4.58455 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | 67.7968 | -4.58505 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 57.554 | -4.9206 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 57.7425 | -4.94202 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 58.2256 | -4.99334 |
| LR_8[cache_size=0.01,treshold=0.3] | 72.8854 | -5.65912 |
| LR_7[cache_size=0.01,treshold=0.3] | 72.9017 | -5.65936 |
| LR_9[cache_size=0.01,treshold=0.3] | 72.8569 | -5.66163 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 71.9242 | -5.92128 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 74.1503 | -6.89457 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 74.2995 | -6.90691 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 75.4157 | -7.05428 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 76.1886 | -7.12199 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | 83.1572 | -7.43415 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 83.7029 | -8.15401 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 85.2454 | -8.40882 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.3] | 86.0477 | -8.53082 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.3] | 86.6239 | -8.62434 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | 88.7324 | -8.89904 |
Cache Size 0.1
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.0216 | 1.84971 |
| Zipf Optimal Distribution | 13.1079 | 0.901478 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.3] | 58.189 | -4.86864 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 63.1829 | -5.61638 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 63.1882 | -5.61713 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 63.1959 | -5.61787 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.3] | 66.4598 | -6.50747 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 61.1787 | -6.70264 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 70.0453 | -7.12607 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 70.0844 | -7.13252 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 70.0929 | -7.13524 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 58.524 | -7.45393 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 58.668 | -7.47862 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 58.7694 | -7.4963 |
| LR_8[cache_size=0.1,treshold=0.3] | 73.4681 | -8.15183 |
| LR_7[cache_size=0.1,treshold=0.3] | 73.4674 | -8.15211 |
| LR_9[cache_size=0.1,treshold=0.3] | 73.4809 | -8.15595 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 72.4722 | -8.34428 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 75.78 | -8.56731 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.3] | 75.7827 | -8.56825 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.3] | 75.7945 | -8.57124 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | 78.3419 | -9.71782 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 72.8436 | -10.1762 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 72.902 | -10.1886 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 72.9631 | -10.2013 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 83.6089 | -12.6307 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.3] | 83.8475 | -12.6889 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.3] | 83.9649 | -12.7181 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 94.8854 | -15.7529 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 97.4629 | -16.5901 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | 98.1156 | -16.814 |
Cache Size 0.2
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.2203 | 3.56227 |
| Zipf Optimal Distribution | 15.0252 | 1.67385 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.3] | 58.1917 | -5.12183 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.3] | 66.7151 | -7.09966 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 58.3211 | -8.50238 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 58.3465 | -8.50762 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 58.359 | -8.50998 |
| LR_8[cache_size=0.2,treshold=0.3] | 73.8336 | -9.11951 |
| LR_7[cache_size=0.2,treshold=0.3] | 73.8544 | -9.12527 |
| LR_9[cache_size=0.2,treshold=0.3] | 73.8635 | -9.12815 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 64.5076 | -9.1631 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 65.7632 | -9.26993 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 65.8041 | -9.27398 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 65.8017 | -9.27451 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 71.6778 | -9.38605 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 73.1232 | -10.8422 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 73.1355 | -10.8426 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 72.6152 | -10.9264 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 71.6098 | -11.5428 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 71.734 | -11.5741 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 71.7799 | -11.5862 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.3] | 81.1692 | -12.5478 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 81.2538 | -12.555 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.3] | 81.3634 | -12.5619 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | 79.7775 | -12.6458 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.3] | 82.5397 | -14.5855 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 82.5787 | -14.597 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.3] | 82.6088 | -14.6065 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 98.7164 | -20.6106 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | 98.9816 | -20.7376 |
Cache Size 0.4
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.458 | 7.79849 |
| Zipf Optimal Distribution | 17.0787 | 3.33504 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.3] | 55.7177 | -4.43714 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.3] | 65.3203 | -6.64697 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4431 | -8.52094 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4443 | -8.5213 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4443 | -8.5213 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4459 | -8.5217 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.451 | -8.52293 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4539 | -8.52373 |
| LR_8[cache_size=0.4,treshold=0.3] | 74.2199 | -9.51637 |
| LR_7[cache_size=0.4,treshold=0.3] | 74.2236 | -9.51692 |
| LR_9[cache_size=0.4,treshold=0.3] | 74.2265 | -9.51777 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5003 | -11.9502 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5073 | -11.9522 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5136 | -11.954 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5412 | -11.9622 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5444 | -11.9636 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5453 | -11.9638 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 74.5913 | -13.9473 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 81.0526 | -16.2395 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4157 | -16.355 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4236 | -16.3581 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4333 | -16.3617 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6099 | -16.4132 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6168 | -16.4154 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6267 | -16.4201 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | 86.2733 | -18.3273 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 99.4481 | -26.3014 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | 99.6094 | -26.4262 |
Cache Size All
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.0175 | 1.84941 |
| Zipf Optimal Distribution | 13.1121 | 0.902408 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 0 | 0 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 54.2296 | -2.7421 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 54.2363 | -2.74309 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 54.2382 | -2.74334 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.3] | 55.4175 | -3.38525 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 60.8313 | -3.58181 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 60.8414 | -3.58267 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 60.8458 | -3.58329 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 53.4827 | -4.23204 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.3] | 55.7096 | -4.44242 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.3] | 64.4867 | -4.47239 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.3] | 67.7732 | -4.57924 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.3] | 67.7856 | -4.58121 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | 67.7885 | -4.58171 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.3] | 58.1923 | -4.87019 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 57.5526 | -4.91801 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 57.7425 | -4.93997 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 58.2289 | -4.99062 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.3] | 58.1928 | -5.1203 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 63.1871 | -5.61264 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 63.1913 | -5.61323 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 63.1987 | -5.61404 |
| LR_8[cache_size=0.01,treshold=0.3] | 72.8871 | -5.65639 |
| LR_7[cache_size=0.01,treshold=0.3] | 72.9019 | -5.65663 |
| LR_9[cache_size=0.01,treshold=0.3] | 72.8571 | -5.65865 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 71.9266 | -5.91937 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.3] | 66.4702 | -6.50592 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.3] | 65.3204 | -6.64378 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 61.1887 | -6.7014 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 74.1536 | -6.89317 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 74.305 | -6.90569 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 75.4193 | -7.05223 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.3] | 66.7107 | -7.09861 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 76.1883 | -7.11933 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 70.0476 | -7.12355 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 70.087 | -7.12916 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 70.0941 | -7.13244 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | 83.1548 | -7.43189 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 58.5267 | -7.4539 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 58.6733 | -7.47588 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 58.7759 | -7.49365 |
| LR_7[cache_size=0.1,treshold=0.3] | 73.4736 | -8.14887 |
| LR_8[cache_size=0.1,treshold=0.3] | 73.4754 | -8.14887 |
| LR_9[cache_size=0.1,treshold=0.3] | 73.4873 | -8.15308 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 83.6977 | -8.15315 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 72.4755 | -8.34062 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 85.2447 | -8.40943 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 58.3199 | -8.5013 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 58.3439 | -8.50654 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 58.3555 | -8.50916 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4419 | -8.52503 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4433 | -8.52537 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4433 | -8.52537 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.445 | -8.52548 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4495 | -8.52615 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4519 | -8.52693 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.3] | 86.0474 | -8.52986 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 75.7855 | -8.56651 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.3] | 75.7877 | -8.56745 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.3] | 75.8 | -8.57072 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.3] | 86.6227 | -8.62364 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | 88.7316 | -8.89709 |
| LR_8[cache_size=0.2,treshold=0.3] | 73.836 | -9.11965 |
| LR_7[cache_size=0.2,treshold=0.3] | 73.856 | -9.12554 |
| LR_9[cache_size=0.2,treshold=0.3] | 73.8653 | -9.12816 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 64.5048 | -9.16546 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 65.7604 | -9.27214 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 65.8017 | -9.27607 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 65.7992 | -9.27672 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 71.6811 | -9.38602 |
| LR_8[cache_size=0.4,treshold=0.3] | 74.2175 | -9.51499 |
| LR_7[cache_size=0.4,treshold=0.3] | 74.2211 | -9.51555 |
| LR_9[cache_size=0.4,treshold=0.3] | 74.2239 | -9.51655 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | 78.341 | -9.71514 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 72.8426 | -10.1767 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 72.9004 | -10.1884 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 72.9625 | -10.2015 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 73.1218 | -10.8437 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 73.1327 | -10.8444 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 72.6135 | -10.9281 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 71.6096 | -11.5432 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 71.7357 | -11.5738 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 71.7831 | -11.5851 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.4942 | -11.9494 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5015 | -11.9516 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5077 | -11.9527 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5369 | -11.9594 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5399 | -11.9617 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5409 | -11.9617 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.3] | 81.1711 | -12.5459 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 81.2525 | -12.5537 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.3] | 81.3625 | -12.5608 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 83.6057 | -12.6318 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | 79.7776 | -12.6465 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.3] | 83.8441 | -12.6879 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.3] | 83.9617 | -12.7174 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 74.598 | -13.9515 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.3] | 82.5381 | -14.5869 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 82.5759 | -14.598 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.3] | 82.6057 | -14.6078 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 94.8888 | -15.7511 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 81.0465 | -16.2559 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4101 | -16.3652 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4182 | -16.3686 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4278 | -16.3719 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6074 | -16.4232 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6126 | -16.4254 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6239 | -16.4288 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 97.464 | -16.5877 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | 98.1159 | -16.8116 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | 86.2719 | -18.3383 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 98.7165 | -20.6094 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | 98.9811 | -20.7363 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 99.4481 | -26.2943 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | 99.6089 | -26.4192 |
Cache Size 0.01
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 42.0861 | 0.361512 |
| Zipf Optimal Distribution | 8.82408 | 0.192718 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 54.2296 | -2.7421 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 54.2363 | -2.74309 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 54.2382 | -2.74334 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.3] | 55.4175 | -3.38525 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 60.8313 | -3.58181 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 60.8414 | -3.58267 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 60.8458 | -3.58329 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 53.4827 | -4.23204 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.3] | 64.4867 | -4.47239 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.3] | 67.7732 | -4.57924 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.3] | 67.7856 | -4.58121 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | 67.7885 | -4.58171 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 57.5526 | -4.91801 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 57.7425 | -4.93997 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 58.2289 | -4.99062 |
| LR_8[cache_size=0.01,treshold=0.3] | 72.8871 | -5.65639 |
| LR_7[cache_size=0.01,treshold=0.3] | 72.9019 | -5.65663 |
| LR_9[cache_size=0.01,treshold=0.3] | 72.8571 | -5.65865 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 71.9266 | -5.91937 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 74.1536 | -6.89317 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 74.305 | -6.90569 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 75.4193 | -7.05223 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 76.1883 | -7.11933 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | 83.1548 | -7.43189 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 83.6977 | -8.15315 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 85.2447 | -8.40943 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.3] | 86.0474 | -8.52986 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.3] | 86.6227 | -8.62364 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | 88.7316 | -8.89709 |
Cache Size 0.1
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.0175 | 1.84941 |
| Zipf Optimal Distribution | 13.1121 | 0.902408 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.3] | 58.1923 | -4.87019 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 63.1871 | -5.61264 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 63.1913 | -5.61323 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 63.1987 | -5.61404 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.3] | 66.4702 | -6.50592 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 61.1887 | -6.7014 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 70.0476 | -7.12355 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 70.087 | -7.12916 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 70.0941 | -7.13244 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 58.5267 | -7.4539 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 58.6733 | -7.47588 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 58.7759 | -7.49365 |
| LR_8[cache_size=0.1,treshold=0.3] | 73.4754 | -8.14887 |
| LR_7[cache_size=0.1,treshold=0.3] | 73.4736 | -8.14887 |
| LR_9[cache_size=0.1,treshold=0.3] | 73.4873 | -8.15308 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 72.4755 | -8.34062 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 75.7855 | -8.56651 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.3] | 75.7877 | -8.56745 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.3] | 75.8 | -8.57072 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | 78.341 | -9.71514 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 72.8426 | -10.1767 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 72.9004 | -10.1884 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 72.9625 | -10.2015 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 83.6057 | -12.6318 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.3] | 83.8441 | -12.6879 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.3] | 83.9617 | -12.7174 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 94.8888 | -15.7511 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 97.464 | -16.5877 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | 98.1159 | -16.8116 |
Cache Size 0.2
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.2233 | 3.56334 |
| Zipf Optimal Distribution | 15.0351 | 1.67163 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.3] | 58.1928 | -5.1203 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.3] | 66.7107 | -7.09861 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 58.3199 | -8.5013 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 58.3439 | -8.50654 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 58.3555 | -8.50916 |
| LR_8[cache_size=0.2,treshold=0.3] | 73.836 | -9.11965 |
| LR_7[cache_size=0.2,treshold=0.3] | 73.856 | -9.12554 |
| LR_9[cache_size=0.2,treshold=0.3] | 73.8653 | -9.12816 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 64.5048 | -9.16546 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 65.7604 | -9.27214 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 65.8017 | -9.27607 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 65.7992 | -9.27672 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 71.6811 | -9.38602 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 73.1218 | -10.8437 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 73.1327 | -10.8444 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 72.6135 | -10.9281 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 71.6096 | -11.5432 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 71.7357 | -11.5738 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 71.7831 | -11.5851 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.3] | 81.1711 | -12.5459 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 81.2525 | -12.5537 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.3] | 81.3625 | -12.5608 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | 79.7776 | -12.6465 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.3] | 82.5381 | -14.5869 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 82.5759 | -14.598 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.3] | 82.6057 | -14.6078 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 98.7165 | -20.6094 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | 98.9811 | -20.7363 |
Cache Size 0.4
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.46 | 7.8007 |
| Zipf Optimal Distribution | 17.0793 | 3.33616 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.3] | 55.7096 | -4.44242 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.3] | 65.3204 | -6.64378 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4419 | -8.52503 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4433 | -8.52537 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4433 | -8.52537 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.445 | -8.52548 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4495 | -8.52615 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 54.4519 | -8.52693 |
| LR_8[cache_size=0.4,treshold=0.3] | 74.2175 | -9.51499 |
| LR_7[cache_size=0.4,treshold=0.3] | 74.2211 | -9.51555 |
| LR_9[cache_size=0.4,treshold=0.3] | 74.2239 | -9.51655 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.4942 | -11.9494 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5015 | -11.9516 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5077 | -11.9527 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5369 | -11.9594 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5399 | -11.9617 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 67.5409 | -11.9617 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 74.598 | -13.9515 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 81.0465 | -16.2559 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4101 | -16.3652 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4182 | -16.3686 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4278 | -16.3719 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6074 | -16.4232 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6126 | -16.4254 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6239 | -16.4288 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | 86.2719 | -18.3383 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 99.4481 | -26.2943 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | 99.6089 | -26.4192 |
Model Classification Report
LR_7
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.92 0.47 0.62 28055468
1 0.58 0.95 0.72 21729815
accuracy 0.68 49785283
macro avg 0.75 0.71 0.67 49785283
weighted avg 0.77 0.68 0.66 49785283
Accuracy: 0.6755959587494963
0-1%
precision recall f1-score support
0 0.92 0.47 0.62 27764588
1 0.52 0.93 0.67 17098553
accuracy 0.65 44863141
macro avg 0.72 0.70 0.64 44863141
weighted avg 0.77 0.65 0.64 44863141
Accuracy: 0.6464878150194611
1-10%
precision recall f1-score support
0 0.00 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.47 0.50 0.48 4452351
weighted avg 0.87 0.94 0.90 4452351
Accuracy: 0.9354129986607076
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.92 0.48 0.63 26119367
1 0.60 0.95 0.73 21615229
accuracy 0.69 47734596
macro avg 0.76 0.71 0.68 47734596
weighted avg 0.77 0.69 0.68 47734596
Accuracy: 0.6900191844087252
0-1%
precision recall f1-score support
0 0.97 0.82 0.89 12053010
1 0.08 0.40 0.14 508421
accuracy 0.80 12561431
macro avg 0.53 0.61 0.51 12561431
weighted avg 0.93 0.80 0.86 12561431
Accuracy: 0.7982386720111745
1-10%
precision recall f1-score support
0 0.76 0.20 0.31 13368467
1 0.56 0.94 0.70 14466820
accuracy 0.59 27835287
macro avg 0.66 0.57 0.51 27835287
weighted avg 0.66 0.59 0.52 27835287
Accuracy: 0.5850499763124412
10-20%
precision recall f1-score support
0 0.28 0.01 0.02 503365
1 0.87 1.00 0.93 3387274
accuracy 0.87 3890639
macro avg 0.57 0.50 0.47 3890639
weighted avg 0.79 0.87 0.81 3890639
Accuracy: 0.8686038463090511
20-40%
precision recall f1-score support
0 0.24 0.01 0.02 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.58 0.50 0.49 2117913
weighted avg 0.88 0.93 0.90 2117913
Accuracy: 0.9285036731914862
40-80%
precision recall f1-score support
0 0.21 0.02 0.03 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.59 0.51 0.51 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.960486302949195
80-90%
precision recall f1-score support
0 0.22 0.03 0.05 3093
1 0.98 1.00 0.99 120943
accuracy 0.97 124036
macro avg 0.60 0.51 0.52 124036
weighted avg 0.96 0.97 0.96 124036
Accuracy: 0.9732980747524912
90-100%
precision recall f1-score support
0 0.22 0.03 0.05 2328
1 0.98 1.00 0.99 97067
accuracy 0.97 99395
macro avg 0.60 0.51 0.52 99395
weighted avg 0.96 0.97 0.97 99395
Accuracy: 0.9748780119724332
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.92 0.48 0.63 24893266
1 0.60 0.95 0.74 20563095
accuracy 0.69 45456361
macro avg 0.76 0.71 0.68 45456361
weighted avg 0.77 0.69 0.68 45456361
Accuracy: 0.6928762951350197
0-1%
precision recall f1-score support
0 1.00 0.95 0.98 4873589
1 0.00 0.18 0.01 3872
accuracy 0.95 4877461
macro avg 0.50 0.56 0.49 4877461
weighted avg 1.00 0.95 0.97 4877461
Accuracy: 0.9516461536032784
1-10%
precision recall f1-score support
0 0.88 0.43 0.58 16949103
1 0.42 0.88 0.57 8016772
accuracy 0.57 24965875
macro avg 0.65 0.66 0.57 24965875
weighted avg 0.73 0.57 0.58 24965875
Accuracy: 0.574837413068839
10-20%
precision recall f1-score support
0 0.45 0.03 0.05 2057494
1 0.73 0.99 0.84 5461156
accuracy 0.72 7518650
macro avg 0.59 0.51 0.44 7518650
weighted avg 0.65 0.72 0.62 7518650
Accuracy: 0.7249309383998457
20-40%
precision recall f1-score support
0 0.32 0.02 0.04 744974
1 0.85 0.99 0.91 4060539
accuracy 0.84 4805513
macro avg 0.58 0.51 0.48 4805513
weighted avg 0.76 0.84 0.78 4805513
Accuracy: 0.8415238914138824
40-80%
precision recall f1-score support
0 0.26 0.02 0.04 235909
1 0.91 0.99 0.95 2483775
accuracy 0.91 2719684
macro avg 0.59 0.51 0.50 2719684
weighted avg 0.86 0.91 0.87 2719684
Accuracy: 0.9094703649394562
80-90%
precision recall f1-score support
0 0.23 0.03 0.05 18577
1 0.94 0.99 0.97 296772
accuracy 0.94 315349
macro avg 0.59 0.51 0.51 315349
weighted avg 0.90 0.94 0.91 315349
Accuracy: 0.9372821857687832
90-100%
precision recall f1-score support
0 0.22 0.03 0.05 13620
1 0.95 0.99 0.97 240209
accuracy 0.94 253829
macro avg 0.58 0.51 0.51 253829
weighted avg 0.91 0.94 0.92 253829
Accuracy: 0.9423667114474705
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.92 0.50 0.64 22531902
1 0.58 0.95 0.72 16938696
accuracy 0.69 39470598
macro avg 0.75 0.72 0.68 39470598
weighted avg 0.78 0.69 0.68 39470598
Accuracy: 0.6886409980411242
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: 0.9999606451359001
1-10%
precision recall f1-score support
0 0.95 0.74 0.83 11439888
1 0.22 0.67 0.33 1271288
accuracy 0.73 12711176
macro avg 0.59 0.70 0.58 12711176
weighted avg 0.88 0.73 0.78 12711176
Accuracy: 0.7289276775020659
10-20%
precision recall f1-score support
0 0.78 0.19 0.30 5044441
1 0.46 0.93 0.62 3812372
accuracy 0.51 8856813
macro avg 0.62 0.56 0.46 8856813
weighted avg 0.65 0.51 0.44 8856813
Accuracy: 0.5069134913427663
20-40%
precision recall f1-score support
0 0.59 0.06 0.12 2995598
1 0.66 0.98 0.79 5583215
accuracy 0.66 8578813
macro avg 0.62 0.52 0.45 8578813
weighted avg 0.63 0.66 0.55 8578813
Accuracy: 0.6575001693124678
40-80%
precision recall f1-score support
0 0.41 0.05 0.08 1295061
1 0.80 0.98 0.88 5001564
accuracy 0.79 6296625
macro avg 0.60 0.51 0.48 6296625
weighted avg 0.72 0.79 0.72 6296625
Accuracy: 0.7901185158715979
80-90%
precision recall f1-score support
0 0.33 0.05 0.08 117971
1 0.86 0.98 0.92 692761
accuracy 0.85 810732
macro avg 0.60 0.51 0.50 810732
weighted avg 0.78 0.85 0.80 810732
Accuracy: 0.8478683461365778
90-100%
precision recall f1-score support
0 0.32 0.05 0.08 88944
1 0.87 0.98 0.92 577496
accuracy 0.86 666440
macro avg 0.60 0.52 0.50 666440
weighted avg 0.80 0.86 0.81 666440
Accuracy: 0.859676790108637
LR_7_decay_rtime
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.93 0.55 0.69 28055468
1 0.62 0.95 0.75 21729815
accuracy 0.73 49785283
macro avg 0.78 0.75 0.72 49785283
weighted avg 0.80 0.73 0.72 49785283
Accuracy: 0.7257623703776074
0-1%
precision recall f1-score support
0 0.93 0.56 0.70 27764588
1 0.57 0.93 0.70 17098553
accuracy 0.70 44863141
macro avg 0.75 0.75 0.70 44863141
weighted avg 0.79 0.70 0.70 44863141
Accuracy: 0.7021582149141096
1-10%
precision recall f1-score support
0 0.00 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.47 0.50 0.48 4452351
weighted avg 0.87 0.94 0.90 4452351
Accuracy: 0.9354129986607076
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.93 0.49 0.64 26119367
1 0.61 0.95 0.74 21615229
accuracy 0.70 47734596
macro avg 0.77 0.72 0.69 47734596
weighted avg 0.78 0.70 0.69 47734596
Accuracy: 0.7020437336476043
0-1%
precision recall f1-score support
0 0.98 0.88 0.92 12053010
1 0.15 0.51 0.23 508421
accuracy 0.86 12561431
macro avg 0.56 0.69 0.58 12561431
weighted avg 0.94 0.86 0.90 12561431
Accuracy: 0.8613169948551244
1-10%
precision recall f1-score support
0 0.76 0.17 0.28 13368467
1 0.55 0.95 0.70 14466820
accuracy 0.58 27835287
macro avg 0.66 0.56 0.49 27835287
weighted avg 0.65 0.58 0.50 27835287
Accuracy: 0.5768599404058596
10-20%
precision recall f1-score support
0 0.19 0.00 0.00 503365
1 0.87 1.00 0.93 3387274
accuracy 0.87 3890639
macro avg 0.53 0.50 0.47 3890639
weighted avg 0.78 0.87 0.81 3890639
Accuracy: 0.8696427502011881
20-40%
precision recall f1-score support
0 0.09 0.00 0.00 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.51 0.50 0.48 2117913
weighted avg 0.87 0.93 0.90 2117913
Accuracy: 0.9300230934887316
40-80%
precision recall f1-score support
0 0.04 0.00 0.00 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.50 0.50 0.49 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.96225952735115
80-90%
precision recall f1-score support
0 0.25 0.00 0.00 3093
1 0.98 1.00 0.99 120943
accuracy 0.98 124036
macro avg 0.61 0.50 0.49 124036
weighted avg 0.96 0.98 0.96 124036
Accuracy: 0.9750475668354349
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.98 99395
macro avg 0.49 0.50 0.49 99395
weighted avg 0.95 0.98 0.96 99395
Accuracy: 0.9765581769706726
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.91 0.37 0.53 24893266
1 0.56 0.96 0.70 20563095
accuracy 0.64 45456361
macro avg 0.74 0.67 0.62 45456361
weighted avg 0.75 0.64 0.61 45456361
Accuracy: 0.6376305397609808
0-1%
precision recall f1-score support
0 1.00 0.92 0.96 4873589
1 0.01 0.77 0.02 3872
accuracy 0.92 4877461
macro avg 0.50 0.84 0.49 4877461
weighted avg 1.00 0.92 0.96 4877461
Accuracy: 0.9202958260455594
1-10%
precision recall f1-score support
0 0.89 0.28 0.42 16949103
1 0.38 0.93 0.54 8016772
accuracy 0.49 24965875
macro avg 0.64 0.60 0.48 24965875
weighted avg 0.73 0.49 0.46 24965875
Accuracy: 0.4858217867388986
10-20%
precision recall f1-score support
0 0.41 0.06 0.11 2057494
1 0.73 0.97 0.83 5461156
accuracy 0.72 7518650
macro avg 0.57 0.51 0.47 7518650
weighted avg 0.64 0.72 0.63 7518650
Accuracy: 0.7185424245043991
20-40%
precision recall f1-score support
0 0.24 0.04 0.07 744974
1 0.85 0.98 0.91 4060539
accuracy 0.83 4805513
macro avg 0.54 0.51 0.49 4805513
weighted avg 0.75 0.83 0.78 4805513
Accuracy: 0.8308603056531113
40-80%
precision recall f1-score support
0 0.13 0.03 0.05 235909
1 0.91 0.98 0.95 2483775
accuracy 0.90 2719684
macro avg 0.52 0.51 0.50 2719684
weighted avg 0.85 0.90 0.87 2719684
Accuracy: 0.8982889188596911
80-90%
precision recall f1-score support
0 0.09 0.03 0.04 18577
1 0.94 0.98 0.96 296772
accuracy 0.93 315349
macro avg 0.52 0.51 0.50 315349
weighted avg 0.89 0.93 0.91 315349
Accuracy: 0.9262023979781131
90-100%
precision recall f1-score support
0 0.07 0.02 0.04 13620
1 0.95 0.98 0.96 240209
accuracy 0.93 253829
macro avg 0.51 0.50 0.50 253829
weighted avg 0.90 0.93 0.91 253829
Accuracy: 0.9312292921612582
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.85 0.36 0.51 22531902
1 0.52 0.92 0.66 16938696
accuracy 0.60 39470598
macro avg 0.69 0.64 0.59 39470598
weighted avg 0.71 0.60 0.58 39470598
Accuracy: 0.6008507142455759
0-1%
precision recall f1-score support
0 1.00 0.97 0.98 1549999
1 0.00 0.00 0.00 0
accuracy 0.97 1549999
macro avg 0.50 0.48 0.49 1549999
weighted avg 1.00 0.97 0.98 1549999
Accuracy: 0.9673580434568022
1-10%
precision recall f1-score support
0 0.97 0.42 0.59 11439888
1 0.15 0.90 0.25 1271288
accuracy 0.47 12711176
macro avg 0.56 0.66 0.42 12711176
weighted avg 0.89 0.47 0.56 12711176
Accuracy: 0.47111714919217546
10-20%
precision recall f1-score support
0 0.76 0.21 0.33 5044441
1 0.47 0.91 0.62 3812372
accuracy 0.51 8856813
macro avg 0.62 0.56 0.47 8856813
weighted avg 0.64 0.51 0.45 8856813
Accuracy: 0.5128106464481073
20-40%
precision recall f1-score support
0 0.54 0.18 0.27 2995598
1 0.68 0.92 0.78 5583215
accuracy 0.66 8578813
macro avg 0.61 0.55 0.52 8578813
weighted avg 0.63 0.66 0.60 8578813
Accuracy: 0.6608438719902159
40-80%
precision recall f1-score support
0 0.35 0.17 0.23 1295061
1 0.81 0.92 0.86 5001564
accuracy 0.76 6296625
macro avg 0.58 0.54 0.54 6296625
weighted avg 0.72 0.76 0.73 6296625
Accuracy: 0.7649380422051496
80-90%
precision recall f1-score support
0 0.26 0.17 0.20 117971
1 0.87 0.92 0.89 692761
accuracy 0.81 810732
macro avg 0.56 0.54 0.55 810732
weighted avg 0.78 0.81 0.79 810732
Accuracy: 0.8088135166738207
90-100%
precision recall f1-score support
0 0.24 0.17 0.20 88944
1 0.88 0.92 0.90 577496
accuracy 0.82 666440
macro avg 0.56 0.54 0.55 666440
weighted avg 0.79 0.82 0.80 666440
Accuracy: 0.8173233899525839
LR_7_decay_rtime_w_0_5
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.86 0.71 0.78 28055468
1 0.69 0.85 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: 0.7702849856251696
0-1%
precision recall f1-score support
0 0.86 0.71 0.78 27764588
1 0.64 0.81 0.71 17098553
accuracy 0.75 44863141
macro avg 0.75 0.76 0.75 44863141
weighted avg 0.78 0.75 0.76 44863141
Accuracy: 0.7515656115116862
1-10%
precision recall f1-score support
0 0.00 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.47 0.50 0.48 4452351
weighted avg 0.87 0.94 0.90 4452351
Accuracy: 0.9354129986607076
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.85 0.64 0.73 26119367
1 0.67 0.86 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: 0.742081319804194
0-1%
precision recall f1-score support
0 0.97 0.96 0.96 12053010
1 0.19 0.24 0.22 508421
accuracy 0.93 12561431
macro avg 0.58 0.60 0.59 12561431
weighted avg 0.94 0.93 0.93 12561431
Accuracy: 0.9284465281065509
1-10%
precision recall f1-score support
0 0.68 0.39 0.50 13368467
1 0.60 0.83 0.69 14466820
accuracy 0.62 27835287
macro avg 0.64 0.61 0.59 27835287
weighted avg 0.63 0.62 0.60 27835287
Accuracy: 0.6182538013709001
10-20%
precision recall f1-score support
0 0.17 0.03 0.05 503365
1 0.87 0.98 0.92 3387274
accuracy 0.85 3890639
macro avg 0.52 0.50 0.49 3890639
weighted avg 0.78 0.85 0.81 3890639
Accuracy: 0.8540707580425735
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: 0.9214377549974905
40-80%
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: 0.957853141573115
80-90%
precision recall f1-score support
0 0.04 0.01 0.01 3093
1 0.98 1.00 0.99 120943
accuracy 0.97 124036
macro avg 0.51 0.50 0.50 124036
weighted avg 0.95 0.97 0.96 124036
Accuracy: 0.9718871940404399
90-100%
precision recall f1-score support
0 0.03 0.00 0.01 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: 0.9741234468534634
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.80 0.56 0.66 24893266
1 0.61 0.83 0.70 20563095
accuracy 0.68 45456361
macro avg 0.71 0.70 0.68 45456361
weighted avg 0.71 0.68 0.68 45456361
Accuracy: 0.6820545753761503
0-1%
precision recall f1-score support
0 1.00 0.97 0.98 4873589
1 0.02 0.64 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: 0.9698966326947566
1-10%
precision recall f1-score support
0 0.85 0.49 0.62 16949103
1 0.43 0.81 0.56 8016772
accuracy 0.59 24965875
macro avg 0.64 0.65 0.59 24965875
weighted avg 0.71 0.59 0.60 24965875
Accuracy: 0.5947781521777226
10-20%
precision recall f1-score support
0 0.39 0.26 0.31 2057494
1 0.75 0.85 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: 0.6865985250011638
20-40%
precision recall f1-score support
0 0.23 0.24 0.23 744974
1 0.86 0.85 0.85 4060539
accuracy 0.76 4805513
macro avg 0.54 0.55 0.54 4805513
weighted avg 0.76 0.76 0.76 4805513
Accuracy: 0.7557752939176317
40-80%
precision recall f1-score support
0 0.13 0.24 0.17 235909
1 0.92 0.85 0.88 2483775
accuracy 0.80 2719684
macro avg 0.53 0.54 0.53 2719684
weighted avg 0.85 0.80 0.82 2719684
Accuracy: 0.7966421834301338
80-90%
precision recall f1-score support
0 0.09 0.24 0.13 18577
1 0.95 0.85 0.89 296772
accuracy 0.81 315349
macro avg 0.52 0.54 0.51 315349
weighted avg 0.90 0.81 0.85 315349
Accuracy: 0.811944861090411
90-100%
precision recall f1-score support
0 0.08 0.24 0.12 13620
1 0.95 0.85 0.90 240209
accuracy 0.82 253829
macro avg 0.52 0.54 0.51 253829
weighted avg 0.91 0.82 0.86 253829
Accuracy: 0.8158484649114167
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.78 0.68 0.73 22531902
1 0.64 0.75 0.69 16938696
accuracy 0.71 39470598
macro avg 0.71 0.71 0.71 39470598
weighted avg 0.72 0.71 0.71 39470598
Accuracy: 0.7088074013978709
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: 0.9997290320832465
1-10%
precision recall f1-score support
0 0.96 0.77 0.86 11439888
1 0.26 0.72 0.38 1271288
accuracy 0.77 12711176
macro avg 0.61 0.75 0.62 12711176
weighted avg 0.89 0.77 0.81 12711176
Accuracy: 0.7678910275492999
10-20%
precision recall f1-score support
0 0.74 0.54 0.62 5044441
1 0.55 0.75 0.64 3812372
accuracy 0.63 8856813
macro avg 0.65 0.64 0.63 8856813
weighted avg 0.66 0.63 0.63 8856813
Accuracy: 0.6299770583391565
20-40%
precision recall f1-score support
0 0.52 0.48 0.50 2995598
1 0.73 0.76 0.74 5583215
accuracy 0.66 8578813
macro avg 0.63 0.62 0.62 8578813
weighted avg 0.66 0.66 0.66 8578813
Accuracy: 0.6623954852495327
40-80%
precision recall f1-score support
0 0.33 0.47 0.38 1295061
1 0.84 0.75 0.80 5001564
accuracy 0.69 6296625
macro avg 0.59 0.61 0.59 6296625
weighted avg 0.74 0.69 0.71 6296625
Accuracy: 0.6927723979115796
80-90%
precision recall f1-score support
0 0.24 0.46 0.31 117971
1 0.89 0.75 0.81 692761
accuracy 0.70 810732
macro avg 0.56 0.60 0.56 810732
weighted avg 0.80 0.70 0.74 810732
Accuracy: 0.7044670741996122
90-100%
precision recall f1-score support
0 0.22 0.46 0.30 88944
1 0.90 0.74 0.82 577496
accuracy 0.71 666440
macro avg 0.56 0.60 0.56 666440
weighted avg 0.81 0.71 0.75 666440
Accuracy: 0.7071259228137566
LR_7_decay_rtime_w_0_75
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.90 0.64 0.75 28055468
1 0.66 0.90 0.76 21729815
accuracy 0.75 49785283
macro avg 0.78 0.77 0.75 49785283
weighted avg 0.79 0.75 0.75 49785283
Accuracy: 0.7543097826721202
0-1%
precision recall f1-score support
0 0.90 0.65 0.75 27764588
1 0.60 0.88 0.72 17098553
accuracy 0.73 44863141
macro avg 0.75 0.76 0.73 44863141
weighted avg 0.78 0.73 0.74 44863141
Accuracy: 0.7338376954034493
1-10%
precision recall f1-score support
0 0.00 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.47 0.50 0.48 4452351
weighted avg 0.87 0.94 0.90 4452351
Accuracy: 0.9354129986607076
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.89 0.57 0.69 26119367
1 0.64 0.92 0.75 21615229
accuracy 0.73 47734596
macro avg 0.76 0.74 0.72 47734596
weighted avg 0.78 0.73 0.72 47734596
Accuracy: 0.726402628399746
0-1%
precision recall f1-score support
0 0.97 0.93 0.95 12053010
1 0.17 0.36 0.23 508421
accuracy 0.90 12561431
macro avg 0.57 0.64 0.59 12561431
weighted avg 0.94 0.90 0.92 12561431
Accuracy: 0.9026870425829668
1-10%
precision recall f1-score support
0 0.72 0.28 0.40 13368467
1 0.57 0.90 0.70 14466820
accuracy 0.60 27835287
macro avg 0.65 0.59 0.55 27835287
weighted avg 0.64 0.60 0.56 27835287
Accuracy: 0.6006632157232652
10-20%
precision recall f1-score support
0 0.20 0.01 0.02 503365
1 0.87 0.99 0.93 3387274
accuracy 0.87 3890639
macro avg 0.54 0.50 0.48 3890639
weighted avg 0.78 0.87 0.81 3890639
Accuracy: 0.8658328361999147
20-40%
precision recall f1-score support
0 0.17 0.01 0.01 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.55 0.50 0.49 2117913
weighted avg 0.88 0.93 0.90 2117913
Accuracy: 0.9282279300424522
40-80%
precision recall f1-score support
0 0.23 0.01 0.02 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.59 0.50 0.50 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9615686841879202
80-90%
precision recall f1-score support
0 0.28 0.01 0.02 3093
1 0.98 1.00 0.99 120943
accuracy 0.97 124036
macro avg 0.63 0.51 0.50 124036
weighted avg 0.96 0.97 0.96 124036
Accuracy: 0.9746041471830759
90-100%
precision recall f1-score support
0 0.33 0.01 0.03 2328
1 0.98 1.00 0.99 97067
accuracy 0.98 99395
macro avg 0.65 0.51 0.51 99395
weighted avg 0.96 0.98 0.97 99395
Accuracy: 0.9762362291865788
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.84 0.47 0.60 24893266
1 0.58 0.89 0.70 20563095
accuracy 0.66 45456361
macro avg 0.71 0.68 0.65 45456361
weighted avg 0.72 0.66 0.65 45456361
Accuracy: 0.6619679916744765
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: 0.9494417279810131
1-10%
precision recall f1-score support
0 0.86 0.39 0.54 16949103
1 0.40 0.87 0.55 8016772
accuracy 0.55 24965875
macro avg 0.63 0.63 0.54 24965875
weighted avg 0.72 0.55 0.54 24965875
Accuracy: 0.5450460678826599
10-20%
precision recall f1-score support
0 0.40 0.17 0.24 2057494
1 0.74 0.90 0.81 5461156
accuracy 0.70 7518650
macro avg 0.57 0.54 0.53 7518650
weighted avg 0.65 0.70 0.66 7518650
Accuracy: 0.7017706636164737
20-40%
precision recall f1-score support
0 0.23 0.15 0.18 744974
1 0.85 0.91 0.88 4060539
accuracy 0.79 4805513
macro avg 0.54 0.53 0.53 4805513
weighted avg 0.76 0.79 0.77 4805513
Accuracy: 0.7897995489763527
40-80%
precision recall f1-score support
0 0.13 0.14 0.14 235909
1 0.92 0.91 0.91 2483775
accuracy 0.84 2719684
macro avg 0.52 0.53 0.52 2719684
weighted avg 0.85 0.84 0.85 2719684
Accuracy: 0.8415613725712252
80-90%
precision recall f1-score support
0 0.09 0.14 0.11 18577
1 0.94 0.91 0.93 296772
accuracy 0.86 315349
macro avg 0.52 0.52 0.52 315349
weighted avg 0.89 0.86 0.88 315349
Accuracy: 0.8618863544834453
90-100%
precision recall f1-score support
0 0.08 0.14 0.10 13620
1 0.95 0.91 0.93 240209
accuracy 0.87 253829
macro avg 0.51 0.52 0.51 253829
weighted avg 0.90 0.87 0.88 253829
Accuracy: 0.8663430892451217
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.82 0.54 0.65 22531902
1 0.58 0.84 0.68 16938696
accuracy 0.67 39470598
macro avg 0.70 0.69 0.67 39470598
weighted avg 0.71 0.67 0.66 39470598
Accuracy: 0.6672436784464223
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: 0.9968670947529643
1-10%
precision recall f1-score support
0 0.97 0.63 0.77 11439888
1 0.20 0.82 0.32 1271288
accuracy 0.65 12711176
macro avg 0.58 0.72 0.54 12711176
weighted avg 0.89 0.65 0.72 12711176
Accuracy: 0.6520494248525864
10-20%
precision recall f1-score support
0 0.75 0.38 0.50 5044441
1 0.50 0.83 0.63 3812372
accuracy 0.57 8856813
macro avg 0.63 0.61 0.57 8856813
weighted avg 0.64 0.57 0.56 8856813
Accuracy: 0.5747507596694206
20-40%
precision recall f1-score support
0 0.53 0.33 0.40 2995598
1 0.70 0.84 0.76 5583215
accuracy 0.66 8578813
macro avg 0.61 0.59 0.58 8578813
weighted avg 0.64 0.66 0.64 8578813
Accuracy: 0.662631065626445
40-80%
precision recall f1-score support
0 0.33 0.31 0.32 1295061
1 0.82 0.84 0.83 5001564
accuracy 0.73 6296625
macro avg 0.58 0.58 0.58 6296625
weighted avg 0.72 0.73 0.73 6296625
Accuracy: 0.7309125126555893
80-90%
precision recall f1-score support
0 0.24 0.31 0.27 117971
1 0.88 0.84 0.86 692761
accuracy 0.76 810732
macro avg 0.56 0.57 0.56 810732
weighted avg 0.78 0.76 0.77 810732
Accuracy: 0.7595617294000977
90-100%
precision recall f1-score support
0 0.22 0.31 0.26 88944
1 0.89 0.84 0.86 577496
accuracy 0.77 666440
macro avg 0.56 0.57 0.56 666440
weighted avg 0.80 0.77 0.78 666440
Accuracy: 0.7651371466298541
LR_7_decay_vtime
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.83 0.25 0.38 28055468
1 0.49 0.94 0.64 21729815
accuracy 0.55 49785283
macro avg 0.66 0.59 0.51 49785283
weighted avg 0.68 0.55 0.50 49785283
Accuracy: 0.5474596579073377
0-1%
precision recall f1-score support
0 0.86 0.25 0.39 27764588
1 0.43 0.94 0.59 17098553
accuracy 0.51 44863141
macro avg 0.65 0.59 0.49 44863141
weighted avg 0.70 0.51 0.46 44863141
Accuracy: 0.5101256730998839
1-10%
precision recall f1-score support
0 0.08 0.07 0.08 287564
1 0.94 0.94 0.94 4164787
accuracy 0.88 4452351
macro avg 0.51 0.51 0.51 4452351
weighted avg 0.88 0.88 0.88 4452351
Accuracy: 0.8830903044256844
10-20%
precision recall f1-score support
0 0.01 0.07 0.02 2455
1 0.99 0.94 0.96 257616
accuracy 0.93 260071
macro avg 0.50 0.50 0.49 260071
weighted avg 0.98 0.93 0.95 260071
Accuracy: 0.9295000211480711
20-40%
precision recall f1-score support
0 0.01 0.07 0.01 659
1 1.00 0.94 0.97 130568
accuracy 0.93 131227
macro avg 0.50 0.51 0.49 131227
weighted avg 0.99 0.93 0.96 131227
Accuracy: 0.9348457253461558
40-80%
precision recall f1-score support
0 0.00 0.08 0.01 169
1 1.00 0.94 0.97 65234
accuracy 0.93 65403
macro avg 0.50 0.51 0.49 65403
weighted avg 0.99 0.93 0.96 65403
Accuracy: 0.9344066785927251
80-90%
precision recall f1-score support
0 0.00 0.07 0.00 15
1 1.00 0.94 0.97 7371
accuracy 0.93 7386
macro avg 0.50 0.50 0.49 7386
weighted avg 1.00 0.93 0.96 7386
Accuracy: 0.934470620092066
90-100%
precision recall f1-score support
0 0.00 0.06 0.01 18
1 1.00 0.94 0.97 5686
accuracy 0.94 5704
macro avg 0.50 0.50 0.49 5704
weighted avg 0.99 0.94 0.96 5704
Accuracy: 0.9358345021037868
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.83 0.28 0.42 26119367
1 0.52 0.93 0.66 21615229
accuracy 0.58 47734596
macro avg 0.67 0.61 0.54 47734596
weighted avg 0.69 0.58 0.53 47734596
Accuracy: 0.5754493449572716
0-1%
precision recall f1-score support
0 0.99 0.45 0.62 12053010
1 0.07 0.90 0.12 508421
accuracy 0.47 12561431
macro avg 0.53 0.68 0.37 12561431
weighted avg 0.95 0.47 0.60 12561431
Accuracy: 0.46967403634187854
1-10%
precision recall f1-score support
0 0.65 0.14 0.23 13368467
1 0.54 0.93 0.68 14466820
accuracy 0.55 27835287
macro avg 0.59 0.54 0.46 27835287
weighted avg 0.59 0.55 0.47 27835287
Accuracy: 0.5508712735744381
10-20%
precision recall f1-score support
0 0.18 0.11 0.13 503365
1 0.87 0.93 0.90 3387274
accuracy 0.82 3890639
macro avg 0.53 0.52 0.52 3890639
weighted avg 0.79 0.82 0.80 3890639
Accuracy: 0.8223826471692697
20-40%
precision recall f1-score support
0 0.10 0.11 0.10 147488
1 0.93 0.93 0.93 1970425
accuracy 0.87 2117913
macro avg 0.52 0.52 0.52 2117913
weighted avg 0.87 0.87 0.87 2117913
Accuracy: 0.870333200655551
40-80%
precision recall f1-score support
0 0.06 0.11 0.08 41616
1 0.96 0.93 0.94 1064279
accuracy 0.90 1105895
macro avg 0.51 0.52 0.51 1105895
weighted avg 0.93 0.90 0.91 1105895
Accuracy: 0.8953264098309514
80-90%
precision recall f1-score support
0 0.04 0.13 0.06 3093
1 0.98 0.92 0.95 120943
accuracy 0.90 124036
macro avg 0.51 0.53 0.51 124036
weighted avg 0.95 0.90 0.93 124036
Accuracy: 0.9049227643587345
90-100%
precision recall f1-score support
0 0.04 0.12 0.06 2328
1 0.98 0.93 0.95 97067
accuracy 0.91 99395
macro avg 0.51 0.52 0.50 99395
weighted avg 0.96 0.91 0.93 99395
Accuracy: 0.9068866643191308
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.83 0.31 0.45 24893266
1 0.53 0.92 0.67 20563095
accuracy 0.59 45456361
macro avg 0.68 0.62 0.56 45456361
weighted avg 0.69 0.59 0.55 45456361
Accuracy: 0.5884104537096579
0-1%
precision recall f1-score support
0 1.00 0.72 0.83 4873589
1 0.00 0.91 0.01 3872
accuracy 0.72 4877461
macro avg 0.50 0.81 0.42 4877461
weighted avg 1.00 0.72 0.83 4877461
Accuracy: 0.7162039839990519
1-10%
precision recall f1-score support
0 0.86 0.23 0.36 16949103
1 0.36 0.92 0.52 8016772
accuracy 0.45 24965875
macro avg 0.61 0.57 0.44 24965875
weighted avg 0.70 0.45 0.41 24965875
Accuracy: 0.45034692355064665
10-20%
precision recall f1-score support
0 0.40 0.13 0.20 2057494
1 0.74 0.93 0.82 5461156
accuracy 0.71 7518650
macro avg 0.57 0.53 0.51 7518650
weighted avg 0.65 0.71 0.65 7518650
Accuracy: 0.7092624340805863
20-40%
precision recall f1-score support
0 0.24 0.13 0.17 744974
1 0.85 0.93 0.89 4060539
accuracy 0.80 4805513
macro avg 0.55 0.53 0.53 4805513
weighted avg 0.76 0.80 0.78 4805513
Accuracy: 0.8019239569219769
40-80%
precision recall f1-score support
0 0.14 0.13 0.14 235909
1 0.92 0.92 0.92 2483775
accuracy 0.85 2719684
macro avg 0.53 0.53 0.53 2719684
weighted avg 0.85 0.85 0.85 2719684
Accuracy: 0.8548073967416803
80-90%
precision recall f1-score support
0 0.10 0.14 0.11 18577
1 0.94 0.92 0.93 296772
accuracy 0.88 315349
macro avg 0.52 0.53 0.52 315349
weighted avg 0.89 0.88 0.88 315349
Accuracy: 0.8753159198221653
90-100%
precision recall f1-score support
0 0.09 0.14 0.11 13620
1 0.95 0.92 0.94 240209
accuracy 0.88 253829
macro avg 0.52 0.53 0.52 253829
weighted avg 0.90 0.88 0.89 253829
Accuracy: 0.8795212524967596
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.85 0.37 0.51 22531902
1 0.52 0.92 0.66 16938696
accuracy 0.60 39470598
macro avg 0.69 0.64 0.59 39470598
weighted avg 0.71 0.60 0.58 39470598
Accuracy: 0.601860858556032
0-1%
precision recall f1-score support
0 1.00 0.97 0.98 1549999
1 0.00 0.00 0.00 0
accuracy 0.97 1549999
macro avg 0.50 0.48 0.49 1549999
weighted avg 1.00 0.97 0.98 1549999
Accuracy: 0.9667625592016511
1-10%
precision recall f1-score support
0 0.97 0.43 0.59 11439888
1 0.15 0.90 0.26 1271288
accuracy 0.47 12711176
macro avg 0.56 0.66 0.42 12711176
weighted avg 0.89 0.47 0.56 12711176
Accuracy: 0.4739205090071918
10-20%
precision recall f1-score support
0 0.76 0.21 0.33 5044441
1 0.47 0.91 0.62 3812372
accuracy 0.51 8856813
macro avg 0.62 0.56 0.47 8856813
weighted avg 0.64 0.51 0.46 8856813
Accuracy: 0.5138872187998098
20-40%
precision recall f1-score support
0 0.54 0.18 0.27 2995598
1 0.68 0.92 0.78 5583215
accuracy 0.66 8578813
macro avg 0.61 0.55 0.52 8578813
weighted avg 0.63 0.66 0.60 8578813
Accuracy: 0.6609046030027698
40-80%
precision recall f1-score support
0 0.35 0.17 0.23 1295061
1 0.81 0.92 0.86 5001564
accuracy 0.76 6296625
macro avg 0.58 0.54 0.55 6296625
weighted avg 0.72 0.76 0.73 6296625
Accuracy: 0.7643621781509936
80-90%
precision recall f1-score support
0 0.26 0.17 0.21 117971
1 0.87 0.92 0.89 692761
accuracy 0.81 810732
macro avg 0.56 0.54 0.55 810732
weighted avg 0.78 0.81 0.79 810732
Accuracy: 0.8079636674018048
90-100%
precision recall f1-score support
0 0.24 0.17 0.20 88944
1 0.88 0.92 0.90 577496
accuracy 0.82 666440
macro avg 0.56 0.54 0.55 666440
weighted avg 0.79 0.82 0.80 666440
Accuracy: 0.8164515935418042
LR_7_decay_vtime_w_0_5
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.72 0.58 0.64 28055468
1 0.57 0.71 0.63 21729815
accuracy 0.64 49785283
macro avg 0.65 0.65 0.64 49785283
weighted avg 0.66 0.64 0.64 49785283
Accuracy: 0.6383161264745648
0-1%
precision recall f1-score support
0 0.77 0.58 0.66 27764588
1 0.51 0.71 0.60 17098553
accuracy 0.63 44863141
macro avg 0.64 0.65 0.63 44863141
weighted avg 0.67 0.63 0.64 44863141
Accuracy: 0.63147480021517
1-10%
precision recall f1-score support
0 0.07 0.29 0.11 287564
1 0.94 0.73 0.82 4164787
accuracy 0.70 4452351
macro avg 0.50 0.51 0.46 4452351
weighted avg 0.88 0.70 0.77 4452351
Accuracy: 0.6984876080075447
10-20%
precision recall f1-score support
0 0.01 0.28 0.02 2455
1 0.99 0.72 0.84 257616
accuracy 0.72 260071
macro avg 0.50 0.50 0.43 260071
weighted avg 0.98 0.72 0.83 260071
Accuracy: 0.7192766590661781
20-40%
precision recall f1-score support
0 0.01 0.30 0.01 659
1 1.00 0.73 0.84 130568
accuracy 0.72 131227
macro avg 0.50 0.51 0.43 131227
weighted avg 0.99 0.72 0.84 131227
Accuracy: 0.7240354500217181
40-80%
precision recall f1-score support
0 0.00 0.27 0.00 169
1 1.00 0.73 0.84 65234
accuracy 0.72 65403
macro avg 0.50 0.50 0.42 65403
weighted avg 0.99 0.72 0.84 65403
Accuracy: 0.7238811675305414
80-90%
precision recall f1-score support
0 0.00 0.27 0.00 15
1 1.00 0.72 0.83 7371
accuracy 0.72 7386
macro avg 0.50 0.49 0.42 7386
weighted avg 1.00 0.72 0.83 7386
Accuracy: 0.7158137015976171
90-100%
precision recall f1-score support
0 0.00 0.28 0.01 18
1 1.00 0.74 0.85 5686
accuracy 0.73 5704
macro avg 0.50 0.51 0.43 5704
weighted avg 0.99 0.73 0.84 5704
Accuracy: 0.7340462833099579
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.74 0.59 0.66 26119367
1 0.60 0.74 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: 0.6614790874107325
0-1%
precision recall f1-score support
0 0.98 0.80 0.88 12053010
1 0.12 0.68 0.21 508421
accuracy 0.79 12561431
macro avg 0.55 0.74 0.54 12561431
weighted avg 0.95 0.79 0.85 12561431
Accuracy: 0.7906283129684827
1-10%
precision recall f1-score support
0 0.61 0.43 0.50 13368467
1 0.58 0.74 0.65 14466820
accuracy 0.59 27835287
macro avg 0.59 0.58 0.58 27835287
weighted avg 0.59 0.59 0.58 27835287
Accuracy: 0.5911734626626987
10-20%
precision recall f1-score support
0 0.16 0.32 0.21 503365
1 0.88 0.75 0.81 3387274
accuracy 0.70 3890639
macro avg 0.52 0.54 0.51 3890639
weighted avg 0.79 0.70 0.73 3890639
Accuracy: 0.6952585423628355
20-40%
precision recall f1-score support
0 0.09 0.32 0.14 147488
1 0.94 0.75 0.83 1970425
accuracy 0.72 2117913
macro avg 0.51 0.53 0.48 2117913
weighted avg 0.88 0.72 0.78 2117913
Accuracy: 0.7162140276772464
40-80%
precision recall f1-score support
0 0.05 0.33 0.08 41616
1 0.97 0.74 0.84 1064279
accuracy 0.73 1105895
macro avg 0.51 0.53 0.46 1105895
weighted avg 0.93 0.73 0.81 1105895
Accuracy: 0.7265644568426478
80-90%
precision recall f1-score support
0 0.03 0.33 0.06 3093
1 0.98 0.74 0.84 120943
accuracy 0.73 124036
macro avg 0.50 0.54 0.45 124036
weighted avg 0.95 0.73 0.82 124036
Accuracy: 0.7295946338159889
90-100%
precision recall f1-score support
0 0.03 0.32 0.05 2328
1 0.98 0.74 0.84 97067
accuracy 0.73 99395
macro avg 0.50 0.53 0.45 99395
weighted avg 0.96 0.73 0.82 99395
Accuracy: 0.730942200311887
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.75 0.61 0.68 24893266
1 0.62 0.76 0.68 20563095
accuracy 0.68 45456361
macro avg 0.68 0.68 0.68 45456361
weighted avg 0.69 0.68 0.68 45456361
Accuracy: 0.6774643707181047
0-1%
precision recall f1-score support
0 1.00 0.95 0.98 4873589
1 0.01 0.70 0.02 3872
accuracy 0.95 4877461
macro avg 0.51 0.83 0.50 4877461
weighted avg 1.00 0.95 0.98 4877461
Accuracy: 0.9533855831958472
1-10%
precision recall f1-score support
0 0.82 0.56 0.67 16949103
1 0.44 0.75 0.56 8016772
accuracy 0.62 24965875
macro avg 0.63 0.65 0.61 24965875
weighted avg 0.70 0.62 0.63 24965875
Accuracy: 0.6193480500883706
10-20%
precision recall f1-score support
0 0.38 0.38 0.38 2057494
1 0.77 0.76 0.76 5461156
accuracy 0.66 7518650
macro avg 0.57 0.57 0.57 7518650
weighted avg 0.66 0.66 0.66 7518650
Accuracy: 0.6588577736694753
20-40%
precision recall f1-score support
0 0.22 0.37 0.27 744974
1 0.87 0.76 0.81 4060539
accuracy 0.70 4805513
macro avg 0.54 0.56 0.54 4805513
weighted avg 0.77 0.70 0.73 4805513
Accuracy: 0.69850731857348
40-80%
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: 0.7198354661791591
80-90%
precision recall f1-score support
0 0.08 0.37 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: 0.7266235187046732
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: 0.7293335276899015
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.78 0.68 0.73 22531902
1 0.64 0.75 0.69 16938696
accuracy 0.71 39470598
macro avg 0.71 0.71 0.71 39470598
weighted avg 0.72 0.71 0.71 39470598
Accuracy: 0.7087849543095344
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: 0.9997290320832465
1-10%
precision recall f1-score support
0 0.96 0.77 0.86 11439888
1 0.26 0.72 0.38 1271288
accuracy 0.77 12711176
macro avg 0.61 0.75 0.62 12711176
weighted avg 0.89 0.77 0.81 12711176
Accuracy: 0.7678318670121475
10-20%
precision recall f1-score support
0 0.74 0.54 0.62 5044441
1 0.55 0.75 0.64 3812372
accuracy 0.63 8856813
macro avg 0.65 0.64 0.63 8856813
weighted avg 0.66 0.63 0.63 8856813
Accuracy: 0.6299411537761946
20-40%
precision recall f1-score support
0 0.52 0.48 0.50 2995598
1 0.73 0.76 0.74 5583215
accuracy 0.66 8578813
macro avg 0.63 0.62 0.62 8578813
weighted avg 0.66 0.66 0.66 8578813
Accuracy: 0.662391521997274
40-80%
precision recall f1-score support
0 0.33 0.47 0.38 1295061
1 0.84 0.75 0.80 5001564
accuracy 0.69 6296625
macro avg 0.59 0.61 0.59 6296625
weighted avg 0.74 0.69 0.71 6296625
Accuracy: 0.6927951084906597
80-90%
precision recall f1-score support
0 0.24 0.46 0.31 117971
1 0.89 0.75 0.81 692761
accuracy 0.70 810732
macro avg 0.56 0.60 0.56 810732
weighted avg 0.80 0.70 0.74 810732
Accuracy: 0.7045262799544115
90-100%
precision recall f1-score support
0 0.22 0.46 0.30 88944
1 0.90 0.74 0.82 577496
accuracy 0.71 666440
macro avg 0.56 0.60 0.56 666440
weighted avg 0.81 0.71 0.75 666440
Accuracy: 0.70716643658844
LR_7_decay_vtime_w_0_75
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.78 0.39 0.53 28055468
1 0.52 0.86 0.65 21729815
accuracy 0.60 49785283
macro avg 0.65 0.63 0.59 49785283
weighted avg 0.67 0.60 0.58 49785283
Accuracy: 0.5978425592157426
0-1%
precision recall f1-score support
0 0.82 0.40 0.54 27764588
1 0.47 0.86 0.61 17098553
accuracy 0.57 44863141
macro avg 0.64 0.63 0.57 44863141
weighted avg 0.69 0.57 0.56 44863141
Accuracy: 0.5731476313707059
1-10%
precision recall f1-score support
0 0.07 0.15 0.10 287564
1 0.94 0.87 0.90 4164787
accuracy 0.82 4452351
macro avg 0.50 0.51 0.50 4452351
weighted avg 0.88 0.82 0.85 4452351
Accuracy: 0.8193314049139432
10-20%
precision recall f1-score support
0 0.01 0.15 0.02 2455
1 0.99 0.86 0.92 257616
accuracy 0.85 260071
macro avg 0.50 0.50 0.47 260071
weighted avg 0.98 0.85 0.91 260071
Accuracy: 0.8547627378677362
20-40%
precision recall f1-score support
0 0.01 0.16 0.01 659
1 1.00 0.86 0.92 130568
accuracy 0.86 131227
macro avg 0.50 0.51 0.47 131227
weighted avg 0.99 0.86 0.92 131227
Accuracy: 0.8597468508767251
40-80%
precision recall f1-score support
0 0.00 0.14 0.00 169
1 1.00 0.86 0.92 65234
accuracy 0.86 65403
macro avg 0.50 0.50 0.46 65403
weighted avg 0.99 0.86 0.92 65403
Accuracy: 0.8592113511612617
80-90%
precision recall f1-score support
0 0.00 0.07 0.00 15
1 1.00 0.86 0.92 7371
accuracy 0.86 7386
macro avg 0.50 0.46 0.46 7386
weighted avg 1.00 0.86 0.92 7386
Accuracy: 0.8601408069320335
90-100%
precision recall f1-score support
0 0.00 0.06 0.00 18
1 1.00 0.87 0.93 5686
accuracy 0.87 5704
macro avg 0.50 0.46 0.47 5704
weighted avg 0.99 0.87 0.93 5704
Accuracy: 0.8657082748948106
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.79 0.44 0.56 26119367
1 0.56 0.86 0.68 21615229
accuracy 0.63 47734596
macro avg 0.67 0.65 0.62 47734596
weighted avg 0.68 0.63 0.61 47734596
Accuracy: 0.6264125080266731
0-1%
precision recall f1-score support
0 0.99 0.64 0.77 12053010
1 0.09 0.82 0.16 508421
accuracy 0.64 12561431
macro avg 0.54 0.73 0.46 12561431
weighted avg 0.95 0.64 0.75 12561431
Accuracy: 0.642621927390279
1-10%
precision recall f1-score support
0 0.64 0.27 0.38 13368467
1 0.56 0.86 0.68 14466820
accuracy 0.57 27835287
macro avg 0.60 0.56 0.53 27835287
weighted avg 0.60 0.57 0.53 27835287
Accuracy: 0.5743047305386145
10-20%
precision recall f1-score support
0 0.18 0.20 0.19 503365
1 0.88 0.86 0.87 3387274
accuracy 0.78 3890639
macro avg 0.53 0.53 0.53 3890639
weighted avg 0.79 0.78 0.78 3890639
Accuracy: 0.7756993131462466
20-40%
precision recall f1-score support
0 0.10 0.21 0.13 147488
1 0.94 0.86 0.89 1970425
accuracy 0.81 2117913
macro avg 0.52 0.53 0.51 2117913
weighted avg 0.88 0.81 0.84 2117913
Accuracy: 0.8120234400563195
40-80%
precision recall f1-score support
0 0.05 0.21 0.09 41616
1 0.97 0.85 0.91 1064279
accuracy 0.83 1105895
macro avg 0.51 0.53 0.50 1105895
weighted avg 0.93 0.83 0.88 1105895
Accuracy: 0.8305309274388617
80-90%
precision recall f1-score support
0 0.04 0.22 0.06 3093
1 0.98 0.85 0.91 120943
accuracy 0.84 124036
macro avg 0.51 0.54 0.49 124036
weighted avg 0.95 0.84 0.89 124036
Accuracy: 0.8363862104550291
90-100%
precision recall f1-score support
0 0.03 0.21 0.06 2328
1 0.98 0.85 0.91 97067
accuracy 0.84 99395
macro avg 0.51 0.53 0.48 99395
weighted avg 0.96 0.84 0.89 99395
Accuracy: 0.8388450123245637
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.79 0.46 0.59 24893266
1 0.57 0.85 0.68 20563095
accuracy 0.64 45456361
macro avg 0.68 0.66 0.63 45456361
weighted avg 0.69 0.64 0.63 45456361
Accuracy: 0.6407366176980159
0-1%
precision recall f1-score support
0 1.00 0.87 0.93 4873589
1 0.01 0.82 0.01 3872
accuracy 0.87 4877461
macro avg 0.50 0.84 0.47 4877461
weighted avg 1.00 0.87 0.93 4877461
Accuracy: 0.873001752346149
1-10%
precision recall f1-score support
0 0.85 0.39 0.53 16949103
1 0.40 0.85 0.54 8016772
accuracy 0.54 24965875
macro avg 0.62 0.62 0.54 24965875
weighted avg 0.70 0.54 0.53 24965875
Accuracy: 0.5362511428099356
10-20%
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: 0.6905540223311366
20-40%
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 0.55 0.54 4805513
weighted avg 0.76 0.76 0.76 4805513
Accuracy: 0.7597257566465848
40-80%
precision recall f1-score support
0 0.13 0.24 0.17 235909
1 0.92 0.85 0.89 2483775
accuracy 0.80 2719684
macro avg 0.53 0.54 0.53 2719684
weighted avg 0.85 0.80 0.82 2719684
Accuracy: 0.7988950186859944
80-90%
precision recall f1-score support
0 0.09 0.24 0.13 18577
1 0.95 0.85 0.90 296772
accuracy 0.81 315349
macro avg 0.52 0.55 0.51 315349
weighted avg 0.90 0.81 0.85 315349
Accuracy: 0.8133877069532486
90-100%
precision recall f1-score support
0 0.08 0.24 0.12 13620
1 0.95 0.85 0.90 240209
accuracy 0.82 253829
macro avg 0.52 0.55 0.51 253829
weighted avg 0.91 0.82 0.86 253829
Accuracy: 0.8170658199023753
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.81 0.54 0.65 22531902
1 0.58 0.84 0.68 16938696
accuracy 0.67 39470598
macro avg 0.70 0.69 0.67 39470598
weighted avg 0.71 0.67 0.66 39470598
Accuracy: 0.6673967290791997
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: 0.9968819334722151
1-10%
precision recall f1-score support
0 0.97 0.63 0.77 11439888
1 0.20 0.81 0.32 1271288
accuracy 0.65 12711176
macro avg 0.58 0.72 0.54 12711176
weighted avg 0.89 0.65 0.72 12711176
Accuracy: 0.6524680328554966
10-20%
precision recall f1-score support
0 0.75 0.38 0.50 5044441
1 0.50 0.83 0.63 3812372
accuracy 0.57 8856813
macro avg 0.63 0.61 0.57 8856813
weighted avg 0.65 0.57 0.56 8856813
Accuracy: 0.5749337826145816
20-40%
precision recall f1-score support
0 0.53 0.33 0.40 2995598
1 0.70 0.84 0.76 5583215
accuracy 0.66 8578813
macro avg 0.61 0.59 0.58 8578813
weighted avg 0.64 0.66 0.64 8578813
Accuracy: 0.6626321147226312
40-80%
precision recall f1-score support
0 0.33 0.31 0.32 1295061
1 0.82 0.84 0.83 5001564
accuracy 0.73 6296625
macro avg 0.58 0.58 0.58 6296625
weighted avg 0.72 0.73 0.73 6296625
Accuracy: 0.7307995950211422
80-90%
precision recall f1-score support
0 0.24 0.31 0.27 117971
1 0.88 0.84 0.86 692761
accuracy 0.76 810732
macro avg 0.56 0.57 0.56 810732
weighted avg 0.78 0.76 0.77 810732
Accuracy: 0.7594124815598743
90-100%
precision recall f1-score support
0 0.22 0.31 0.26 88944
1 0.89 0.84 0.86 577496
accuracy 0.76 666440
macro avg 0.56 0.57 0.56 666440
weighted avg 0.80 0.76 0.78 666440
Accuracy: 0.7649855951023348
LR_7_w_0_5
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.82 0.67 0.74 28055468
1 0.65 0.81 0.72 21729815
accuracy 0.73 49785283
macro avg 0.74 0.74 0.73 49785283
weighted avg 0.75 0.73 0.73 49785283
Accuracy: 0.730444898746483
0-1%
precision recall f1-score support
0 0.82 0.67 0.74 27764588
1 0.59 0.77 0.67 17098553
accuracy 0.71 44863141
macro avg 0.71 0.72 0.70 44863141
weighted avg 0.73 0.71 0.71 44863141
Accuracy: 0.7080572222974758
1-10%
precision recall f1-score support
0 0.10 0.01 0.02 287564
1 0.94 0.99 0.96 4164787
accuracy 0.93 4452351
macro avg 0.52 0.50 0.49 4452351
weighted avg 0.88 0.93 0.90 4452351
Accuracy: 0.9287068786804994
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: 0.987995585820795
20-40%
precision recall f1-score support
0 0.01 0.00 0.01 659
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: 0.991457550656496
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 0.99 1.00 65234
accuracy 0.99 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 0.99 0.99 65403
Accuracy: 0.9909025579866367
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 0.99 1.00 7371
accuracy 0.99 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 0.99 0.99 7386
Accuracy: 0.9905226103438939
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 0.99 0.99 5686
accuracy 0.99 5704
macro avg 0.50 0.49 0.50 5704
weighted avg 0.99 0.99 0.99 5704
Accuracy: 0.9865007012622721
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.83 0.65 0.73 26119367
1 0.67 0.84 0.74 21615229
accuracy 0.74 47734596
macro avg 0.75 0.74 0.74 47734596
weighted avg 0.75 0.74 0.73 47734596
Accuracy: 0.7356280757042544
0-1%
precision recall f1-score support
0 0.97 0.91 0.94 12053010
1 0.10 0.22 0.13 508421
accuracy 0.89 12561431
macro avg 0.53 0.57 0.54 12561431
weighted avg 0.93 0.89 0.91 12561431
Accuracy: 0.885352950631182
1-10%
precision recall f1-score support
0 0.67 0.45 0.54 13368467
1 0.61 0.80 0.69 14466820
accuracy 0.63 27835287
macro avg 0.64 0.62 0.61 27835287
weighted avg 0.64 0.63 0.62 27835287
Accuracy: 0.6286138526252666
10-20%
precision recall f1-score support
0 0.20 0.05 0.08 503365
1 0.87 0.97 0.92 3387274
accuracy 0.85 3890639
macro avg 0.54 0.51 0.50 3890639
weighted avg 0.79 0.85 0.81 3890639
Accuracy: 0.8509422231155345
20-40%
precision recall f1-score support
0 0.12 0.04 0.06 147488
1 0.93 0.98 0.95 1970425
accuracy 0.91 2117913
macro avg 0.53 0.51 0.51 2117913
weighted avg 0.88 0.91 0.89 2117913
Accuracy: 0.911348577585576
40-80%
precision recall f1-score support
0 0.07 0.05 0.06 41616
1 0.96 0.98 0.97 1064279
accuracy 0.94 1105895
macro avg 0.52 0.51 0.51 1105895
weighted avg 0.93 0.94 0.94 1105895
Accuracy: 0.9421210874450106
80-90%
precision recall f1-score support
0 0.06 0.06 0.06 3093
1 0.98 0.98 0.98 120943
accuracy 0.95 124036
macro avg 0.52 0.52 0.52 124036
weighted avg 0.95 0.95 0.95 124036
Accuracy: 0.9534328743268083
90-100%
precision recall f1-score support
0 0.06 0.06 0.06 2328
1 0.98 0.98 0.98 97067
accuracy 0.96 99395
macro avg 0.52 0.52 0.52 99395
weighted avg 0.96 0.96 0.96 99395
Accuracy: 0.9552693797474722
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.83 0.66 0.73 24893266
1 0.67 0.83 0.74 20563095
accuracy 0.74 45456361
macro avg 0.75 0.75 0.74 45456361
weighted avg 0.76 0.74 0.74 45456361
Accuracy: 0.7379611183570106
0-1%
precision recall f1-score support
0 1.00 0.98 0.99 4873589
1 0.00 0.11 0.01 3872
accuracy 0.98 4877461
macro avg 0.50 0.54 0.50 4877461
weighted avg 1.00 0.98 0.99 4877461
Accuracy: 0.9820178982466492
1-10%
precision recall f1-score support
0 0.81 0.66 0.73 16949103
1 0.48 0.67 0.56 8016772
accuracy 0.66 24965875
macro avg 0.64 0.66 0.64 24965875
weighted avg 0.70 0.66 0.67 24965875
Accuracy: 0.6632250622099165
10-20%
precision recall f1-score support
0 0.42 0.14 0.21 2057494
1 0.74 0.93 0.82 5461156
accuracy 0.71 7518650
macro avg 0.58 0.53 0.52 7518650
weighted avg 0.65 0.71 0.65 7518650
Accuracy: 0.7110175363928365
20-40%
precision recall f1-score support
0 0.25 0.09 0.13 744974
1 0.85 0.95 0.90 4060539
accuracy 0.82 4805513
macro avg 0.55 0.52 0.51 4805513
weighted avg 0.76 0.82 0.78 4805513
Accuracy: 0.8179832205219297
40-80%
precision recall f1-score support
0 0.16 0.08 0.11 235909
1 0.92 0.96 0.94 2483775
accuracy 0.88 2719684
macro avg 0.54 0.52 0.52 2719684
weighted avg 0.85 0.88 0.87 2719684
Accuracy: 0.8831095818484794
80-90%
precision recall f1-score support
0 0.11 0.08 0.09 18577
1 0.94 0.96 0.95 296772
accuracy 0.91 315349
macro avg 0.53 0.52 0.52 315349
weighted avg 0.89 0.91 0.90 315349
Accuracy: 0.9094083063526442
90-100%
precision recall f1-score support
0 0.10 0.08 0.09 13620
1 0.95 0.96 0.95 240209
accuracy 0.91 253829
macro avg 0.53 0.52 0.52 253829
weighted avg 0.90 0.91 0.91 253829
Accuracy: 0.9139932789397587
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.83 0.69 0.76 22531902
1 0.66 0.81 0.73 16938696
accuracy 0.74 39470598
macro avg 0.75 0.75 0.74 39470598
weighted avg 0.76 0.74 0.74 39470598
Accuracy: 0.7436157415198017
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: 0.9999987096765869
1-10%
precision recall f1-score support
0 0.93 0.89 0.91 11439888
1 0.28 0.38 0.33 1271288
accuracy 0.84 12711176
macro avg 0.61 0.64 0.62 12711176
weighted avg 0.86 0.84 0.85 12711176
Accuracy: 0.8418169176479029
10-20%
precision recall f1-score support
0 0.71 0.53 0.61 5044441
1 0.54 0.72 0.61 3812372
accuracy 0.61 8856813
macro avg 0.62 0.62 0.61 8856813
weighted avg 0.64 0.61 0.61 8856813
Accuracy: 0.6100476548392746
20-40%
precision recall f1-score support
0 0.54 0.29 0.38 2995598
1 0.70 0.87 0.77 5583215
accuracy 0.67 8578813
macro avg 0.62 0.58 0.57 8578813
weighted avg 0.64 0.67 0.63 8578813
Accuracy: 0.666961851249118
40-80%
precision recall f1-score support
0 0.36 0.21 0.26 1295061
1 0.82 0.90 0.86 5001564
accuracy 0.76 6296625
macro avg 0.59 0.56 0.56 6296625
weighted avg 0.72 0.76 0.73 6296625
Accuracy: 0.759135251027336
80-90%
precision recall f1-score support
0 0.27 0.19 0.22 117971
1 0.87 0.91 0.89 692761
accuracy 0.81 810732
macro avg 0.57 0.55 0.56 810732
weighted avg 0.78 0.81 0.79 810732
Accuracy: 0.8050428501650361
90-100%
precision recall f1-score support
0 0.25 0.19 0.22 88944
1 0.88 0.91 0.89 577496
accuracy 0.81 666440
macro avg 0.56 0.55 0.56 666440
weighted avg 0.80 0.81 0.80 666440
Accuracy: 0.8147695216373567
LR_7_w_0_75
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.87 0.57 0.69 28055468
1 0.62 0.89 0.73 21729815
accuracy 0.71 49785283
macro avg 0.74 0.73 0.71 49785283
weighted avg 0.76 0.71 0.71 49785283
Accuracy: 0.7105028809417434
0-1%
precision recall f1-score support
0 0.87 0.58 0.69 27764588
1 0.56 0.86 0.68 17098553
accuracy 0.69 44863141
macro avg 0.71 0.72 0.69 44863141
weighted avg 0.75 0.69 0.69 44863141
Accuracy: 0.6852791247942269
1-10%
precision recall f1-score support
0 0.09 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.93 4452351
macro avg 0.51 0.50 0.48 4452351
weighted avg 0.88 0.93 0.90 4452351
Accuracy: 0.934885861424672
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: 0.9903718599920791
20-40%
precision recall f1-score support
0 0.04 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.52 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9947952784106929
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: 0.9970184853905785
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: 0.9964936886395512
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.87 0.56 0.69 26119367
1 0.63 0.90 0.74 21615229
accuracy 0.72 47734596
macro avg 0.75 0.73 0.71 47734596
weighted avg 0.76 0.72 0.71 47734596
Accuracy: 0.7174706370197415
0-1%
precision recall f1-score support
0 0.97 0.87 0.92 12053010
1 0.09 0.30 0.14 508421
accuracy 0.85 12561431
macro avg 0.53 0.58 0.53 12561431
weighted avg 0.93 0.85 0.88 12561431
Accuracy: 0.8472322938365859
1-10%
precision recall f1-score support
0 0.72 0.32 0.44 13368467
1 0.58 0.88 0.70 14466820
accuracy 0.61 27835287
macro avg 0.65 0.60 0.57 27835287
weighted avg 0.65 0.61 0.58 27835287
Accuracy: 0.6114798457080755
10-20%
precision recall f1-score support
0 0.22 0.02 0.04 503365
1 0.87 0.99 0.93 3387274
accuracy 0.86 3890639
macro avg 0.54 0.51 0.48 3890639
weighted avg 0.79 0.86 0.81 3890639
Accuracy: 0.8630667096073421
20-40%
precision recall f1-score support
0 0.15 0.02 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: 0.9231488734428657
40-80%
precision recall f1-score support
0 0.10 0.03 0.04 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: 0.9546448803909955
80-90%
precision recall f1-score support
0 0.10 0.04 0.06 3093
1 0.98 0.99 0.98 120943
accuracy 0.97 124036
macro avg 0.54 0.52 0.52 124036
weighted avg 0.95 0.97 0.96 124036
Accuracy: 0.9668483343545422
90-100%
precision recall f1-score support
0 0.09 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: 0.9689924040444691
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.88 0.57 0.69 24893266
1 0.63 0.90 0.74 20563095
accuracy 0.72 45456361
macro avg 0.75 0.74 0.72 45456361
weighted avg 0.77 0.72 0.72 45456361
Accuracy: 0.7202560275337483
0-1%
precision recall f1-score support
0 1.00 0.97 0.98 4873589
1 0.00 0.14 0.01 3872
accuracy 0.97 4877461
macro avg 0.50 0.56 0.50 4877461
weighted avg 1.00 0.97 0.98 4877461
Accuracy: 0.9694410678014648
1-10%
precision recall f1-score support
0 0.84 0.55 0.67 16949103
1 0.45 0.79 0.57 8016772
accuracy 0.63 24965875
macro avg 0.65 0.67 0.62 24965875
weighted avg 0.72 0.63 0.64 24965875
Accuracy: 0.6252288774176751
10-20%
precision recall f1-score support
0 0.43 0.06 0.11 2057494
1 0.73 0.97 0.83 5461156
accuracy 0.72 7518650
macro avg 0.58 0.52 0.47 7518650
weighted avg 0.65 0.72 0.64 7518650
Accuracy: 0.7206546387981885
20-40%
precision recall f1-score support
0 0.27 0.04 0.07 744974
1 0.85 0.98 0.91 4060539
accuracy 0.83 4805513
macro avg 0.56 0.51 0.49 4805513
weighted avg 0.76 0.83 0.78 4805513
Accuracy: 0.8335176702258427
40-80%
precision recall f1-score support
0 0.18 0.04 0.07 235909
1 0.92 0.98 0.95 2483775
accuracy 0.90 2719684
macro avg 0.55 0.51 0.51 2719684
weighted avg 0.85 0.90 0.87 2719684
Accuracy: 0.9005737431260397
80-90%
precision recall f1-score support
0 0.14 0.04 0.07 18577
1 0.94 0.98 0.96 296772
accuracy 0.93 315349
macro avg 0.54 0.51 0.52 315349
weighted avg 0.90 0.93 0.91 315349
Accuracy: 0.9278323381396485
90-100%
precision recall f1-score support
0 0.13 0.05 0.07 13620
1 0.95 0.98 0.97 240209
accuracy 0.93 253829
macro avg 0.54 0.51 0.52 253829
weighted avg 0.90 0.93 0.92 253829
Accuracy: 0.932612112879143
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.88 0.60 0.71 22531902
1 0.63 0.89 0.73 16938696
accuracy 0.72 39470598
macro avg 0.75 0.74 0.72 39470598
weighted avg 0.77 0.72 0.72 39470598
Accuracy: 0.7246775688577103
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: 0.9999935483829344
1-10%
precision recall f1-score support
0 0.94 0.83 0.88 11439888
1 0.25 0.50 0.34 1271288
accuracy 0.80 12711176
macro avg 0.60 0.67 0.61 12711176
weighted avg 0.87 0.80 0.83 12711176
Accuracy: 0.8012117840237599
10-20%
precision recall f1-score support
0 0.75 0.37 0.49 5044441
1 0.50 0.84 0.63 3812372
accuracy 0.57 8856813
macro avg 0.62 0.60 0.56 8856813
weighted avg 0.64 0.57 0.55 8856813
Accuracy: 0.5689449466755141
20-40%
precision recall f1-score support
0 0.56 0.16 0.25 2995598
1 0.67 0.93 0.78 5583215
accuracy 0.66 8578813
macro avg 0.62 0.55 0.52 8578813
weighted avg 0.64 0.66 0.60 8578813
Accuracy: 0.6637653717361598
40-80%
precision recall f1-score support
0 0.37 0.12 0.18 1295061
1 0.81 0.95 0.87 5001564
accuracy 0.78 6296625
macro avg 0.59 0.53 0.52 6296625
weighted avg 0.72 0.78 0.73 6296625
Accuracy: 0.7783166378814047
80-90%
precision recall f1-score support
0 0.29 0.11 0.16 117971
1 0.86 0.95 0.91 692761
accuracy 0.83 810732
macro avg 0.57 0.53 0.53 810732
weighted avg 0.78 0.83 0.80 810732
Accuracy: 0.8312426301169807
90-100%
precision recall f1-score support
0 0.27 0.11 0.15 88944
1 0.87 0.96 0.91 577496
accuracy 0.84 666440
macro avg 0.57 0.53 0.53 666440
weighted avg 0.79 0.84 0.81 666440
Accuracy: 0.8419107496548827
LR_8
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.92 0.47 0.62 28055468
1 0.58 0.95 0.72 21729815
accuracy 0.68 49785283
macro avg 0.75 0.71 0.67 49785283
weighted avg 0.77 0.68 0.66 49785283
Accuracy: 0.6754580063349244
0-1%
precision recall f1-score support
0 0.92 0.47 0.62 27764588
1 0.52 0.93 0.67 17098553
accuracy 0.65 44863141
macro avg 0.72 0.70 0.64 44863141
weighted avg 0.77 0.65 0.64 44863141
Accuracy: 0.6463347272095817
1-10%
precision recall f1-score support
0 0.00 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.47 0.50 0.48 4452351
weighted avg 0.87 0.94 0.90 4452351
Accuracy: 0.9354129986607076
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.92 0.48 0.63 26119367
1 0.60 0.95 0.73 21615229
accuracy 0.69 47734596
macro avg 0.76 0.71 0.68 47734596
weighted avg 0.77 0.69 0.68 47734596
Accuracy: 0.6900730656649948
0-1%
precision recall f1-score support
0 0.97 0.82 0.89 12053010
1 0.08 0.40 0.14 508421
accuracy 0.80 12561431
macro avg 0.53 0.61 0.51 12561431
weighted avg 0.93 0.80 0.86 12561431
Accuracy: 0.7982951942338417
1-10%
precision recall f1-score support
0 0.76 0.20 0.31 13368467
1 0.56 0.94 0.70 14466820
accuracy 0.59 27835287
macro avg 0.66 0.57 0.51 27835287
weighted avg 0.66 0.59 0.52 27835287
Accuracy: 0.5850971825797953
10-20%
precision recall f1-score support
0 0.28 0.01 0.02 503365
1 0.87 1.00 0.93 3387274
accuracy 0.87 3890639
macro avg 0.57 0.50 0.47 3890639
weighted avg 0.79 0.87 0.81 3890639
Accuracy: 0.8686557658009392
20-40%
precision recall f1-score support
0 0.24 0.01 0.02 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.59 0.50 0.49 2117913
weighted avg 0.88 0.93 0.90 2117913
Accuracy: 0.9285985779396981
40-80%
precision recall f1-score support
0 0.22 0.02 0.03 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.59 0.51 0.51 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9606002378164292
80-90%
precision recall f1-score support
0 0.23 0.03 0.05 3093
1 0.98 1.00 0.99 120943
accuracy 0.97 124036
macro avg 0.60 0.51 0.52 124036
weighted avg 0.96 0.97 0.96 124036
Accuracy: 0.9733948208584604
90-100%
precision recall f1-score support
0 0.22 0.03 0.05 2328
1 0.98 1.00 0.99 97067
accuracy 0.97 99395
macro avg 0.60 0.51 0.52 99395
weighted avg 0.96 0.97 0.97 99395
Accuracy: 0.9749484380502037
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.92 0.48 0.63 24893266
1 0.60 0.95 0.74 20563095
accuracy 0.69 45456361
macro avg 0.76 0.72 0.68 45456361
weighted avg 0.77 0.69 0.68 45456361
Accuracy: 0.6929913945377194
0-1%
precision recall f1-score support
0 1.00 0.95 0.98 4873589
1 0.00 0.18 0.01 3872
accuracy 0.95 4877461
macro avg 0.50 0.56 0.49 4877461
weighted avg 1.00 0.95 0.97 4877461
Accuracy: 0.9517591222154314
1-10%
precision recall f1-score support
0 0.88 0.43 0.58 16949103
1 0.42 0.88 0.57 8016772
accuracy 0.58 24965875
macro avg 0.65 0.66 0.57 24965875
weighted avg 0.73 0.58 0.58 24965875
Accuracy: 0.5750368052391515
10-20%
precision recall f1-score support
0 0.45 0.03 0.05 2057494
1 0.73 0.99 0.84 5461156
accuracy 0.72 7518650
macro avg 0.59 0.51 0.44 7518650
weighted avg 0.65 0.72 0.62 7518650
Accuracy: 0.7249188351632274
20-40%
precision recall f1-score support
0 0.32 0.02 0.04 744974
1 0.85 0.99 0.91 4060539
accuracy 0.84 4805513
macro avg 0.58 0.51 0.48 4805513
weighted avg 0.76 0.84 0.78 4805513
Accuracy: 0.8414982958114982
40-80%
precision recall f1-score support
0 0.26 0.02 0.04 235909
1 0.91 0.99 0.95 2483775
accuracy 0.91 2719684
macro avg 0.58 0.51 0.50 2719684
weighted avg 0.86 0.91 0.87 2719684
Accuracy: 0.9094442589653798
80-90%
precision recall f1-score support
0 0.23 0.03 0.05 18577
1 0.94 0.99 0.97 296772
accuracy 0.94 315349
macro avg 0.59 0.51 0.51 315349
weighted avg 0.90 0.94 0.91 315349
Accuracy: 0.9372504748706988
90-100%
precision recall f1-score support
0 0.22 0.03 0.05 13620
1 0.95 0.99 0.97 240209
accuracy 0.94 253829
macro avg 0.58 0.51 0.51 253829
weighted avg 0.91 0.94 0.92 253829
Accuracy: 0.9423588321271407
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.92 0.50 0.64 22531902
1 0.58 0.95 0.72 16938696
accuracy 0.69 39470598
macro avg 0.75 0.72 0.68 39470598
weighted avg 0.78 0.69 0.68 39470598
Accuracy: 0.6886571366362374
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: 0.9999606451359001
1-10%
precision recall f1-score support
0 0.95 0.74 0.83 11439888
1 0.22 0.67 0.33 1271288
accuracy 0.73 12711176
macro avg 0.59 0.70 0.58 12711176
weighted avg 0.88 0.73 0.78 12711176
Accuracy: 0.7289502560581335
10-20%
precision recall f1-score support
0 0.78 0.19 0.30 5044441
1 0.46 0.93 0.62 3812372
accuracy 0.51 8856813
macro avg 0.62 0.56 0.46 8856813
weighted avg 0.65 0.51 0.44 8856813
Accuracy: 0.5069575252407384
20-40%
precision recall f1-score support
0 0.59 0.06 0.12 2995598
1 0.66 0.98 0.79 5583215
accuracy 0.66 8578813
macro avg 0.62 0.52 0.45 8578813
weighted avg 0.63 0.66 0.55 8578813
Accuracy: 0.6575041325647266
40-80%
precision recall f1-score support
0 0.41 0.05 0.08 1295061
1 0.80 0.98 0.88 5001564
accuracy 0.79 6296625
macro avg 0.60 0.51 0.48 6296625
weighted avg 0.72 0.79 0.72 6296625
Accuracy: 0.7901089869572986
80-90%
precision recall f1-score support
0 0.33 0.05 0.08 117971
1 0.86 0.98 0.92 692761
accuracy 0.85 810732
macro avg 0.60 0.51 0.50 810732
weighted avg 0.78 0.85 0.80 810732
Accuracy: 0.8478597119640029
90-100%
precision recall f1-score support
0 0.32 0.05 0.08 88944
1 0.87 0.98 0.92 577496
accuracy 0.86 666440
macro avg 0.60 0.52 0.50 666440
weighted avg 0.80 0.86 0.81 666440
Accuracy: 0.8596662865374227
LR_8_decay_rtime
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.93 0.55 0.70 28055468
1 0.62 0.95 0.75 21729815
accuracy 0.73 49785283
macro avg 0.78 0.75 0.72 49785283
weighted avg 0.80 0.73 0.72 49785283
Accuracy: 0.7257770333453764
0-1%
precision recall f1-score support
0 0.93 0.56 0.70 27764588
1 0.57 0.93 0.70 17098553
accuracy 0.70 44863141
macro avg 0.75 0.75 0.70 44863141
weighted avg 0.79 0.70 0.70 44863141
Accuracy: 0.7021744866236629
1-10%
precision recall f1-score support
0 0.00 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.47 0.50 0.48 4452351
weighted avg 0.87 0.94 0.90 4452351
Accuracy: 0.9354129986607076
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.93 0.49 0.64 26119367
1 0.61 0.95 0.74 21615229
accuracy 0.70 47734596
macro avg 0.77 0.72 0.69 47734596
weighted avg 0.78 0.70 0.69 47734596
Accuracy: 0.7020233710577545
0-1%
precision recall f1-score support
0 0.98 0.88 0.92 12053010
1 0.15 0.51 0.23 508421
accuracy 0.86 12561431
macro avg 0.56 0.69 0.58 12561431
weighted avg 0.94 0.86 0.90 12561431
Accuracy: 0.861267637421246
1-10%
precision recall f1-score support
0 0.76 0.17 0.28 13368467
1 0.55 0.95 0.70 14466820
accuracy 0.58 27835287
macro avg 0.66 0.56 0.49 27835287
weighted avg 0.65 0.58 0.50 27835287
Accuracy: 0.5768482645786982
10-20%
precision recall f1-score support
0 0.18 0.00 0.00 503365
1 0.87 1.00 0.93 3387274
accuracy 0.87 3890639
macro avg 0.53 0.50 0.47 3890639
weighted avg 0.78 0.87 0.81 3890639
Accuracy: 0.8696370956030616
20-40%
precision recall f1-score support
0 0.09 0.00 0.00 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.51 0.50 0.48 2117913
weighted avg 0.87 0.93 0.90 2117913
Accuracy: 0.9300216769999523
40-80%
precision recall f1-score support
0 0.04 0.00 0.00 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.50 0.50 0.49 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9622577188611938
80-90%
precision recall f1-score support
0 0.25 0.00 0.00 3093
1 0.98 1.00 0.99 120943
accuracy 0.98 124036
macro avg 0.61 0.50 0.49 124036
weighted avg 0.96 0.98 0.96 124036
Accuracy: 0.9750475668354349
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.98 99395
macro avg 0.49 0.50 0.49 99395
weighted avg 0.95 0.98 0.96 99395
Accuracy: 0.9765581769706726
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.91 0.37 0.53 24893266
1 0.56 0.96 0.71 20563095
accuracy 0.64 45456361
macro avg 0.74 0.67 0.62 45456361
weighted avg 0.75 0.64 0.61 45456361
Accuracy: 0.6377514909299493
0-1%
precision recall f1-score support
0 1.00 0.92 0.96 4873589
1 0.01 0.77 0.02 3872
accuracy 0.92 4877461
macro avg 0.50 0.84 0.49 4877461
weighted avg 1.00 0.92 0.96 4877461
Accuracy: 0.9205190979487073
1-10%
precision recall f1-score support
0 0.89 0.27 0.42 16949103
1 0.38 0.93 0.54 8016772
accuracy 0.49 24965875
macro avg 0.64 0.60 0.48 24965875
weighted avg 0.73 0.49 0.46 24965875
Accuracy: 0.48552678406024224
10-20%
precision recall f1-score support
0 0.41 0.06 0.10 2057494
1 0.73 0.97 0.83 5461156
accuracy 0.72 7518650
macro avg 0.57 0.51 0.47 7518650
weighted avg 0.64 0.72 0.63 7518650
Accuracy: 0.718843675393854
20-40%
precision recall f1-score support
0 0.24 0.04 0.07 744974
1 0.85 0.98 0.91 4060539
accuracy 0.83 4805513
macro avg 0.54 0.51 0.49 4805513
weighted avg 0.75 0.83 0.78 4805513
Accuracy: 0.8318025567717744
40-80%
precision recall f1-score support
0 0.14 0.03 0.05 235909
1 0.91 0.98 0.95 2483775
accuracy 0.90 2719684
macro avg 0.52 0.51 0.50 2719684
weighted avg 0.85 0.90 0.87 2719684
Accuracy: 0.8997626194807926
80-90%
precision recall f1-score support
0 0.09 0.02 0.04 18577
1 0.94 0.98 0.96 296772
accuracy 0.93 315349
macro avg 0.51 0.50 0.50 315349
weighted avg 0.89 0.93 0.91 315349
Accuracy: 0.9277720874332882
90-100%
precision recall f1-score support
0 0.08 0.02 0.03 13620
1 0.95 0.98 0.97 240209
accuracy 0.93 253829
macro avg 0.51 0.50 0.50 253829
weighted avg 0.90 0.93 0.92 253829
Accuracy: 0.9331124497200871
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.85 0.36 0.51 22531902
1 0.52 0.92 0.66 16938696
accuracy 0.60 39470598
macro avg 0.69 0.64 0.59 39470598
weighted avg 0.71 0.60 0.58 39470598
Accuracy: 0.6008948736981385
0-1%
precision recall f1-score support
0 1.00 0.97 0.98 1549999
1 0.00 0.00 0.00 0
accuracy 0.97 1549999
macro avg 0.50 0.48 0.49 1549999
weighted avg 1.00 0.97 0.98 1549999
Accuracy: 0.9674109467167398
1-10%
precision recall f1-score support
0 0.97 0.42 0.59 11439888
1 0.15 0.90 0.25 1271288
accuracy 0.47 12711176
macro avg 0.56 0.66 0.42 12711176
weighted avg 0.89 0.47 0.56 12711176
Accuracy: 0.47123838109078187
10-20%
precision recall f1-score support
0 0.76 0.21 0.33 5044441
1 0.47 0.91 0.62 3812372
accuracy 0.51 8856813
macro avg 0.62 0.56 0.47 8856813
weighted avg 0.64 0.51 0.45 8856813
Accuracy: 0.512843954140163
20-40%
precision recall f1-score support
0 0.54 0.18 0.27 2995598
1 0.68 0.92 0.78 5583215
accuracy 0.66 8578813
macro avg 0.61 0.55 0.52 8578813
weighted avg 0.63 0.66 0.60 8578813
Accuracy: 0.6608401418704429
40-80%
precision recall f1-score support
0 0.35 0.17 0.23 1295061
1 0.81 0.92 0.86 5001564
accuracy 0.76 6296625
macro avg 0.58 0.54 0.54 6296625
weighted avg 0.72 0.76 0.73 6296625
Accuracy: 0.764922478311794
80-90%
precision recall f1-score support
0 0.26 0.17 0.20 117971
1 0.87 0.92 0.89 692761
accuracy 0.81 810732
macro avg 0.56 0.54 0.55 810732
weighted avg 0.78 0.81 0.79 810732
Accuracy: 0.808783913796421
90-100%
precision recall f1-score support
0 0.24 0.17 0.20 88944
1 0.88 0.92 0.90 577496
accuracy 0.82 666440
macro avg 0.56 0.54 0.55 666440
weighted avg 0.79 0.82 0.80 666440
Accuracy: 0.8172918792389412
LR_8_decay_rtime_w_0_5
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.86 0.71 0.78 28055468
1 0.69 0.85 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: 0.7702978609160462
0-1%
precision recall f1-score support
0 0.86 0.71 0.78 27764588
1 0.64 0.81 0.71 17098553
accuracy 0.75 44863141
macro avg 0.75 0.76 0.75 44863141
weighted avg 0.78 0.75 0.76 44863141
Accuracy: 0.7515798994100747
1-10%
precision recall f1-score support
0 0.00 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.47 0.50 0.48 4452351
weighted avg 0.87 0.94 0.90 4452351
Accuracy: 0.9354129986607076
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.85 0.64 0.73 26119367
1 0.67 0.86 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: 0.7420814664483596
0-1%
precision recall f1-score support
0 0.97 0.96 0.96 12053010
1 0.19 0.24 0.22 508421
accuracy 0.93 12561431
macro avg 0.58 0.60 0.59 12561431
weighted avg 0.94 0.93 0.93 12561431
Accuracy: 0.9284317208763874
1-10%
precision recall f1-score support
0 0.68 0.39 0.50 13368467
1 0.60 0.83 0.69 14466820
accuracy 0.62 27835287
macro avg 0.64 0.61 0.59 27835287
weighted avg 0.63 0.62 0.60 27835287
Accuracy: 0.618272087512516
10-20%
precision recall f1-score support
0 0.17 0.03 0.05 503365
1 0.87 0.98 0.92 3387274
accuracy 0.85 3890639
macro avg 0.52 0.50 0.49 3890639
weighted avg 0.78 0.85 0.81 3890639
Accuracy: 0.8540142120613092
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: 0.9214061200814198
40-80%
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: 0.9578305354486637
80-90%
precision recall f1-score support
0 0.04 0.01 0.01 3093
1 0.98 1.00 0.99 120943
accuracy 0.97 124036
macro avg 0.51 0.50 0.50 124036
weighted avg 0.95 0.97 0.96 124036
Accuracy: 0.9718871940404399
90-100%
precision recall f1-score support
0 0.03 0.00 0.01 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: 0.9740832033804517
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.80 0.56 0.66 24893266
1 0.61 0.83 0.70 20563095
accuracy 0.68 45456361
macro avg 0.71 0.70 0.68 45456361
weighted avg 0.71 0.68 0.68 45456361
Accuracy: 0.6821266224984441
0-1%
precision recall f1-score support
0 1.00 0.97 0.98 4873589
1 0.02 0.64 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: 0.969937227586238
1-10%
precision recall f1-score support
0 0.85 0.49 0.62 16949103
1 0.43 0.81 0.56 8016772
accuracy 0.59 24965875
macro avg 0.64 0.65 0.59 24965875
weighted avg 0.71 0.59 0.60 24965875
Accuracy: 0.5947890470492222
10-20%
precision recall f1-score support
0 0.39 0.26 0.31 2057494
1 0.75 0.85 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: 0.6867158332945409
20-40%
precision recall f1-score support
0 0.23 0.24 0.23 744974
1 0.86 0.85 0.85 4060539
accuracy 0.76 4805513
macro avg 0.54 0.55 0.54 4805513
weighted avg 0.76 0.76 0.76 4805513
Accuracy: 0.7559848449062566
40-80%
precision recall f1-score support
0 0.13 0.24 0.17 235909
1 0.92 0.85 0.88 2483775
accuracy 0.80 2719684
macro avg 0.53 0.54 0.53 2719684
weighted avg 0.85 0.80 0.82 2719684
Accuracy: 0.7969161123130482
80-90%
precision recall f1-score support
0 0.09 0.24 0.13 18577
1 0.95 0.85 0.89 296772
accuracy 0.81 315349
macro avg 0.52 0.54 0.51 315349
weighted avg 0.90 0.81 0.85 315349
Accuracy: 0.812280996610105
90-100%
precision recall f1-score support
0 0.08 0.24 0.12 13620
1 0.95 0.85 0.90 240209
accuracy 0.82 253829
macro avg 0.52 0.55 0.51 253829
weighted avg 0.91 0.82 0.86 253829
Accuracy: 0.8161045428221362
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.78 0.68 0.73 22531902
1 0.64 0.75 0.69 16938696
accuracy 0.71 39470598
macro avg 0.71 0.71 0.71 39470598
weighted avg 0.72 0.71 0.71 39470598
Accuracy: 0.7088039811304607
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: 0.9997290320832465
1-10%
precision recall f1-score support
0 0.96 0.77 0.86 11439888
1 0.26 0.72 0.38 1271288
accuracy 0.77 12711176
macro avg 0.61 0.75 0.62 12711176
weighted avg 0.89 0.77 0.81 12711176
Accuracy: 0.7678817443799063
10-20%
precision recall f1-score support
0 0.74 0.54 0.62 5044441
1 0.55 0.75 0.64 3812372
accuracy 0.63 8856813
macro avg 0.65 0.64 0.63 8856813
weighted avg 0.66 0.63 0.63 8856813
Accuracy: 0.6299711871527602
20-40%
precision recall f1-score support
0 0.52 0.48 0.50 2995598
1 0.73 0.76 0.74 5583215
accuracy 0.66 8578813
macro avg 0.63 0.62 0.62 8578813
weighted avg 0.66 0.66 0.66 8578813
Accuracy: 0.6623973503094193
40-80%
precision recall f1-score support
0 0.33 0.47 0.38 1295061
1 0.84 0.75 0.80 5001564
accuracy 0.69 6296625
macro avg 0.59 0.61 0.59 6296625
weighted avg 0.74 0.69 0.71 6296625
Accuracy: 0.6927736684334862
80-90%
precision recall f1-score support
0 0.24 0.46 0.31 117971
1 0.89 0.75 0.81 692761
accuracy 0.70 810732
macro avg 0.56 0.60 0.56 810732
weighted avg 0.80 0.70 0.74 810732
Accuracy: 0.7044781752786371
90-100%
precision recall f1-score support
0 0.22 0.46 0.30 88944
1 0.90 0.74 0.82 577496
accuracy 0.71 666440
macro avg 0.56 0.60 0.56 666440
weighted avg 0.81 0.71 0.75 666440
Accuracy: 0.7071289238341036
LR_8_decay_rtime_w_0_75
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.90 0.64 0.75 28055468
1 0.66 0.90 0.76 21729815
accuracy 0.75 49785283
macro avg 0.78 0.77 0.75 49785283
weighted avg 0.79 0.75 0.75 49785283
Accuracy: 0.7542801353564667
0-1%
precision recall f1-score support
0 0.90 0.65 0.75 27764588
1 0.60 0.88 0.72 17098553
accuracy 0.73 44863141
macro avg 0.75 0.76 0.73 44863141
weighted avg 0.78 0.73 0.74 44863141
Accuracy: 0.7338047953441333
1-10%
precision recall f1-score support
0 0.00 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.47 0.50 0.48 4452351
weighted avg 0.87 0.94 0.90 4452351
Accuracy: 0.9354129986607076
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.89 0.57 0.69 26119367
1 0.64 0.92 0.75 21615229
accuracy 0.73 47734596
macro avg 0.76 0.74 0.72 47734596
weighted avg 0.78 0.73 0.72 47734596
Accuracy: 0.7263907921206665
0-1%
precision recall f1-score support
0 0.97 0.93 0.95 12053010
1 0.17 0.36 0.23 508421
accuracy 0.90 12561431
macro avg 0.57 0.64 0.59 12561431
weighted avg 0.94 0.90 0.92 12561431
Accuracy: 0.9026405510646041
1-10%
precision recall f1-score support
0 0.72 0.28 0.40 13368467
1 0.57 0.90 0.70 14466820
accuracy 0.60 27835287
macro avg 0.65 0.59 0.55 27835287
weighted avg 0.64 0.60 0.56 27835287
Accuracy: 0.6007281333222826
10-20%
precision recall f1-score support
0 0.18 0.01 0.02 503365
1 0.87 0.99 0.93 3387274
accuracy 0.87 3890639
macro avg 0.52 0.50 0.47 3890639
weighted avg 0.78 0.87 0.81 3890639
Accuracy: 0.8655778652298504
20-40%
precision recall f1-score support
0 0.10 0.00 0.01 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.52 0.50 0.49 2117913
weighted avg 0.87 0.93 0.90 2117913
Accuracy: 0.9280154567255595
40-80%
precision recall f1-score support
0 0.06 0.00 0.00 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: 0.9613064531442859
80-90%
precision recall f1-score support
0 0.05 0.00 0.00 3093
1 0.98 1.00 0.99 120943
accuracy 0.97 124036
macro avg 0.51 0.50 0.50 124036
weighted avg 0.95 0.97 0.96 124036
Accuracy: 0.9743784062691476
90-100%
precision recall f1-score support
0 0.03 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.98 99395
macro avg 0.50 0.50 0.49 99395
weighted avg 0.95 0.98 0.96 99395
Accuracy: 0.9759545248754967
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.84 0.47 0.60 24893266
1 0.58 0.89 0.70 20563095
accuracy 0.66 45456361
macro avg 0.71 0.68 0.65 45456361
weighted avg 0.72 0.66 0.65 45456361
Accuracy: 0.6620013423423842
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: 0.9495253780604294
1-10%
precision recall f1-score support
0 0.87 0.39 0.54 16949103
1 0.40 0.87 0.55 8016772
accuracy 0.55 24965875
macro avg 0.63 0.63 0.54 24965875
weighted avg 0.72 0.55 0.54 24965875
Accuracy: 0.5450160268766867
10-20%
precision recall f1-score support
0 0.40 0.17 0.24 2057494
1 0.74 0.90 0.81 5461156
accuracy 0.70 7518650
macro avg 0.57 0.54 0.53 7518650
weighted avg 0.65 0.70 0.66 7518650
Accuracy: 0.7018285197475611
20-40%
precision recall f1-score support
0 0.23 0.15 0.18 744974
1 0.85 0.91 0.88 4060539
accuracy 0.79 4805513
macro avg 0.54 0.53 0.53 4805513
weighted avg 0.76 0.79 0.77 4805513
Accuracy: 0.7899518740246879
40-80%
precision recall f1-score support
0 0.13 0.14 0.14 235909
1 0.92 0.91 0.91 2483775
accuracy 0.84 2719684
macro avg 0.52 0.53 0.52 2719684
weighted avg 0.85 0.84 0.85 2719684
Accuracy: 0.8417654403967519
80-90%
precision recall f1-score support
0 0.09 0.14 0.11 18577
1 0.94 0.91 0.93 296772
accuracy 0.86 315349
macro avg 0.52 0.52 0.52 315349
weighted avg 0.89 0.86 0.88 315349
Accuracy: 0.8621210151292695
90-100%
precision recall f1-score support
0 0.08 0.14 0.10 13620
1 0.95 0.91 0.93 240209
accuracy 0.87 253829
macro avg 0.51 0.52 0.51 253829
weighted avg 0.90 0.87 0.88 253829
Accuracy: 0.8665873481753464
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.82 0.54 0.65 22531902
1 0.58 0.84 0.68 16938696
accuracy 0.67 39470598
macro avg 0.70 0.69 0.67 39470598
weighted avg 0.71 0.67 0.66 39470598
Accuracy: 0.6672643267274542
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: 0.9968703205614972
1-10%
precision recall f1-score support
0 0.97 0.63 0.77 11439888
1 0.20 0.82 0.32 1271288
accuracy 0.65 12711176
macro avg 0.58 0.72 0.54 12711176
weighted avg 0.89 0.65 0.72 12711176
Accuracy: 0.6521049665270939
10-20%
precision recall f1-score support
0 0.75 0.38 0.50 5044441
1 0.50 0.83 0.63 3812372
accuracy 0.57 8856813
macro avg 0.63 0.61 0.57 8856813
weighted avg 0.64 0.57 0.56 8856813
Accuracy: 0.5747711959143769
20-40%
precision recall f1-score support
0 0.53 0.33 0.40 2995598
1 0.70 0.84 0.76 5583215
accuracy 0.66 8578813
macro avg 0.61 0.59 0.58 8578813
weighted avg 0.64 0.66 0.64 8578813
Accuracy: 0.662632347855117
40-80%
precision recall f1-score support
0 0.33 0.31 0.32 1295061
1 0.82 0.84 0.83 5001564
accuracy 0.73 6296625
macro avg 0.58 0.58 0.58 6296625
weighted avg 0.72 0.73 0.73 6296625
Accuracy: 0.730902507295575
80-90%
precision recall f1-score support
0 0.24 0.31 0.27 117971
1 0.88 0.84 0.86 692761
accuracy 0.76 810732
macro avg 0.56 0.57 0.56 810732
weighted avg 0.78 0.76 0.77 810732
Accuracy: 0.7595432276017229
90-100%
precision recall f1-score support
0 0.22 0.31 0.26 88944
1 0.89 0.84 0.86 577496
accuracy 0.77 666440
macro avg 0.56 0.57 0.56 666440
weighted avg 0.80 0.77 0.78 666440
Accuracy: 0.7651221415281195
LR_8_decay_vtime
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.84 0.23 0.37 28055468
1 0.49 0.94 0.64 21729815
accuracy 0.54 49785283
macro avg 0.66 0.59 0.50 49785283
weighted avg 0.68 0.54 0.49 49785283
Accuracy: 0.5427700792621788
0-1%
precision recall f1-score support
0 0.87 0.24 0.37 27764588
1 0.43 0.94 0.59 17098553
accuracy 0.50 44863141
macro avg 0.65 0.59 0.48 44863141
weighted avg 0.70 0.50 0.45 44863141
Accuracy: 0.5044548262904731
1-10%
precision recall f1-score support
0 0.08 0.07 0.07 287564
1 0.94 0.94 0.94 4164787
accuracy 0.89 4452351
macro avg 0.51 0.51 0.51 4452351
weighted avg 0.88 0.89 0.88 4452351
Accuracy: 0.8872907818813027
10-20%
precision recall f1-score support
0 0.01 0.08 0.02 2455
1 0.99 0.94 0.97 257616
accuracy 0.93 260071
macro avg 0.50 0.51 0.49 260071
weighted avg 0.98 0.93 0.96 260071
Accuracy: 0.9342102733484318
20-40%
precision recall f1-score support
0 0.01 0.10 0.02 659
1 1.00 0.94 0.97 130568
accuracy 0.94 131227
macro avg 0.50 0.52 0.49 131227
weighted avg 0.99 0.94 0.96 131227
Accuracy: 0.9394179551464257
40-80%
precision recall f1-score support
0 0.01 0.16 0.01 169
1 1.00 0.94 0.97 65234
accuracy 0.94 65403
macro avg 0.50 0.55 0.49 65403
weighted avg 1.00 0.94 0.97 65403
Accuracy: 0.9396205067045854
80-90%
precision recall f1-score support
0 0.00 0.13 0.01 15
1 1.00 0.94 0.97 7371
accuracy 0.94 7386
macro avg 0.50 0.54 0.49 7386
weighted avg 1.00 0.94 0.97 7386
Accuracy: 0.9406986190089358
90-100%
precision recall f1-score support
0 0.02 0.28 0.03 18
1 1.00 0.94 0.97 5686
accuracy 0.94 5704
macro avg 0.51 0.61 0.50 5704
weighted avg 0.99 0.94 0.97 5704
Accuracy: 0.9403927068723703
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.83 0.28 0.42 26119367
1 0.52 0.93 0.66 21615229
accuracy 0.57 47734596
macro avg 0.67 0.60 0.54 47734596
weighted avg 0.69 0.57 0.53 47734596
Accuracy: 0.5741434158152297
0-1%
precision recall f1-score support
0 0.99 0.45 0.62 12053010
1 0.06 0.91 0.12 508421
accuracy 0.47 12561431
macro avg 0.53 0.68 0.37 12561431
weighted avg 0.95 0.47 0.60 12561431
Accuracy: 0.4651880824724508
1-10%
precision recall f1-score support
0 0.65 0.14 0.23 13368467
1 0.54 0.93 0.68 14466820
accuracy 0.55 27835287
macro avg 0.59 0.53 0.46 27835287
weighted avg 0.59 0.55 0.47 27835287
Accuracy: 0.550356100154455
10-20%
precision recall f1-score support
0 0.18 0.10 0.13 503365
1 0.87 0.93 0.90 3387274
accuracy 0.82 3890639
macro avg 0.53 0.52 0.52 3890639
weighted avg 0.79 0.82 0.80 3890639
Accuracy: 0.8233698885967061
20-40%
precision recall f1-score support
0 0.10 0.11 0.10 147488
1 0.93 0.93 0.93 1970425
accuracy 0.87 2117913
macro avg 0.52 0.52 0.52 2117913
weighted avg 0.87 0.87 0.87 2117913
Accuracy: 0.8715792386183946
40-80%
precision recall f1-score support
0 0.06 0.11 0.08 41616
1 0.96 0.93 0.95 1064279
accuracy 0.90 1105895
macro avg 0.51 0.52 0.51 1105895
weighted avg 0.93 0.90 0.91 1105895
Accuracy: 0.8967117131373231
80-90%
precision recall f1-score support
0 0.04 0.12 0.06 3093
1 0.98 0.93 0.95 120943
accuracy 0.91 124036
macro avg 0.51 0.53 0.51 124036
weighted avg 0.95 0.91 0.93 124036
Accuracy: 0.9065110129317295
90-100%
precision recall f1-score support
0 0.04 0.12 0.06 2328
1 0.98 0.93 0.95 97067
accuracy 0.91 99395
macro avg 0.51 0.52 0.51 99395
weighted avg 0.96 0.91 0.93 99395
Accuracy: 0.9083253684792998
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.83 0.31 0.45 24893266
1 0.53 0.92 0.67 20563095
accuracy 0.59 45456361
macro avg 0.68 0.62 0.56 45456361
weighted avg 0.69 0.59 0.55 45456361
Accuracy: 0.588633216812054
0-1%
precision recall f1-score support
0 1.00 0.72 0.84 4873589
1 0.00 0.91 0.01 3872
accuracy 0.72 4877461
macro avg 0.50 0.81 0.42 4877461
weighted avg 1.00 0.72 0.83 4877461
Accuracy: 0.7169957894076446
1-10%
precision recall f1-score support
0 0.86 0.23 0.36 16949103
1 0.36 0.92 0.52 8016772
accuracy 0.45 24965875
macro avg 0.61 0.57 0.44 24965875
weighted avg 0.70 0.45 0.41 24965875
Accuracy: 0.4506641165190485
10-20%
precision recall f1-score support
0 0.40 0.13 0.20 2057494
1 0.74 0.93 0.82 5461156
accuracy 0.71 7518650
macro avg 0.57 0.53 0.51 7518650
weighted avg 0.65 0.71 0.65 7518650
Accuracy: 0.7092088340327053
20-40%
precision recall f1-score support
0 0.24 0.13 0.17 744974
1 0.85 0.93 0.89 4060539
accuracy 0.80 4805513
macro avg 0.55 0.53 0.53 4805513
weighted avg 0.76 0.80 0.78 4805513
Accuracy: 0.8017901522688629
40-80%
precision recall f1-score support
0 0.14 0.13 0.14 235909
1 0.92 0.92 0.92 2483775
accuracy 0.85 2719684
macro avg 0.53 0.53 0.53 2719684
weighted avg 0.85 0.85 0.85 2719684
Accuracy: 0.8546268610617999
80-90%
precision recall f1-score support
0 0.10 0.14 0.11 18577
1 0.94 0.92 0.93 296772
accuracy 0.88 315349
macro avg 0.52 0.53 0.52 315349
weighted avg 0.89 0.88 0.88 315349
Accuracy: 0.8751193122540424
90-100%
precision recall f1-score support
0 0.09 0.14 0.11 13620
1 0.95 0.92 0.94 240209
accuracy 0.88 253829
macro avg 0.52 0.53 0.52 253829
weighted avg 0.90 0.88 0.89 253829
Accuracy: 0.8793006315275245
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.85 0.37 0.51 22531902
1 0.52 0.92 0.66 16938696
accuracy 0.60 39470598
macro avg 0.69 0.64 0.59 39470598
weighted avg 0.71 0.60 0.58 39470598
Accuracy: 0.6019079822403501
0-1%
precision recall f1-score support
0 1.00 0.97 0.98 1549999
1 0.00 0.00 0.00 0
accuracy 0.97 1549999
macro avg 0.50 0.48 0.49 1549999
weighted avg 1.00 0.97 0.98 1549999
Accuracy: 0.9668083656828166
1-10%
precision recall f1-score support
0 0.97 0.43 0.59 11439888
1 0.15 0.90 0.26 1271288
accuracy 0.47 12711176
macro avg 0.56 0.66 0.42 12711176
weighted avg 0.89 0.47 0.56 12711176
Accuracy: 0.4740468545160574
10-20%
precision recall f1-score support
0 0.76 0.21 0.33 5044441
1 0.47 0.91 0.62 3812372
accuracy 0.51 8856813
macro avg 0.62 0.56 0.48 8856813
weighted avg 0.64 0.51 0.46 8856813
Accuracy: 0.5139180425283902
20-40%
precision recall f1-score support
0 0.54 0.18 0.27 2995598
1 0.68 0.92 0.78 5583215
accuracy 0.66 8578813
macro avg 0.61 0.55 0.52 8578813
weighted avg 0.63 0.66 0.60 8578813
Accuracy: 0.6609094987849717
40-80%
precision recall f1-score support
0 0.35 0.17 0.23 1295061
1 0.81 0.92 0.86 5001564
accuracy 0.76 6296625
macro avg 0.58 0.54 0.55 6296625
weighted avg 0.72 0.76 0.73 6296625
Accuracy: 0.7643448672900165
80-90%
precision recall f1-score support
0 0.26 0.17 0.21 117971
1 0.87 0.92 0.89 692761
accuracy 0.81 810732
macro avg 0.56 0.54 0.55 810732
weighted avg 0.78 0.81 0.79 810732
Accuracy: 0.8079525663227799
90-100%
precision recall f1-score support
0 0.24 0.17 0.20 88944
1 0.88 0.92 0.90 577496
accuracy 0.82 666440
macro avg 0.56 0.54 0.55 666440
weighted avg 0.79 0.82 0.80 666440
Accuracy: 0.8164305863993758
LR_8_decay_vtime_w_0_5
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.72 0.58 0.64 28055468
1 0.57 0.71 0.63 21729815
accuracy 0.64 49785283
macro avg 0.65 0.65 0.64 49785283
weighted avg 0.66 0.64 0.64 49785283
Accuracy: 0.6387430799579867
0-1%
precision recall f1-score support
0 0.77 0.58 0.66 27764588
1 0.51 0.71 0.59 17098553
accuracy 0.63 44863141
macro avg 0.64 0.65 0.63 44863141
weighted avg 0.67 0.63 0.64 44863141
Accuracy: 0.6320895141960747
1-10%
precision recall f1-score support
0 0.07 0.29 0.11 287564
1 0.94 0.73 0.82 4164787
accuracy 0.70 4452351
macro avg 0.50 0.51 0.46 4452351
weighted avg 0.88 0.70 0.77 4452351
Accuracy: 0.6972089576944854
10-20%
precision recall f1-score support
0 0.01 0.29 0.02 2455
1 0.99 0.72 0.84 257616
accuracy 0.72 260071
macro avg 0.50 0.51 0.43 260071
weighted avg 0.98 0.72 0.83 260071
Accuracy: 0.7179193374117068
20-40%
precision recall f1-score support
0 0.01 0.33 0.01 659
1 1.00 0.72 0.84 130568
accuracy 0.72 131227
macro avg 0.50 0.53 0.43 131227
weighted avg 0.99 0.72 0.83 131227
Accuracy: 0.7226637810816372
40-80%
precision recall f1-score support
0 0.00 0.33 0.01 169
1 1.00 0.72 0.84 65234
accuracy 0.72 65403
macro avg 0.50 0.52 0.42 65403
weighted avg 1.00 0.72 0.84 65403
Accuracy: 0.7227038515052826
80-90%
precision recall f1-score support
0 0.00 0.33 0.00 15
1 1.00 0.72 0.83 7371
accuracy 0.71 7386
macro avg 0.50 0.52 0.42 7386
weighted avg 1.00 0.71 0.83 7386
Accuracy: 0.7144597887896019
90-100%
precision recall f1-score support
0 0.00 0.39 0.01 18
1 1.00 0.73 0.85 5686
accuracy 0.73 5704
macro avg 0.50 0.56 0.43 5704
weighted avg 0.99 0.73 0.84 5704
Accuracy: 0.732468443197756
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.74 0.59 0.66 26119367
1 0.60 0.74 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: 0.6612892251146317
0-1%
precision recall f1-score support
0 0.98 0.79 0.88 12053010
1 0.12 0.68 0.21 508421
accuracy 0.79 12561431
macro avg 0.55 0.74 0.54 12561431
weighted avg 0.95 0.79 0.85 12561431
Accuracy: 0.7895345681554912
1-10%
precision recall f1-score support
0 0.61 0.42 0.50 13368467
1 0.58 0.74 0.65 14466820
accuracy 0.59 27835287
macro avg 0.59 0.58 0.58 27835287
weighted avg 0.59 0.59 0.58 27835287
Accuracy: 0.5910723320366699
10-20%
precision recall f1-score support
0 0.16 0.32 0.21 503365
1 0.88 0.75 0.81 3387274
accuracy 0.70 3890639
macro avg 0.52 0.54 0.51 3890639
weighted avg 0.79 0.70 0.73 3890639
Accuracy: 0.6961992618693228
20-40%
precision recall f1-score support
0 0.09 0.32 0.14 147488
1 0.94 0.75 0.83 1970425
accuracy 0.72 2117913
macro avg 0.51 0.53 0.48 2117913
weighted avg 0.88 0.72 0.78 2117913
Accuracy: 0.7172858375202381
40-80%
precision recall f1-score support
0 0.05 0.33 0.08 41616
1 0.97 0.74 0.84 1064279
accuracy 0.73 1105895
macro avg 0.51 0.53 0.46 1105895
weighted avg 0.93 0.73 0.81 1105895
Accuracy: 0.7277508262538487
80-90%
precision recall f1-score support
0 0.03 0.33 0.06 3093
1 0.98 0.74 0.84 120943
accuracy 0.73 124036
macro avg 0.50 0.54 0.45 124036
weighted avg 0.95 0.73 0.82 124036
Accuracy: 0.7307475249121222
90-100%
precision recall f1-score support
0 0.03 0.32 0.05 2328
1 0.98 0.74 0.84 97067
accuracy 0.73 99395
macro avg 0.50 0.53 0.45 99395
weighted avg 0.96 0.73 0.83 99395
Accuracy: 0.7320086523466975
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.75 0.61 0.68 24893266
1 0.62 0.76 0.68 20563095
accuracy 0.68 45456361
macro avg 0.68 0.68 0.68 45456361
weighted avg 0.69 0.68 0.68 45456361
Accuracy: 0.6774962694440059
0-1%
precision recall f1-score support
0 1.00 0.95 0.98 4873589
1 0.01 0.70 0.02 3872
accuracy 0.95 4877461
macro avg 0.51 0.83 0.50 4877461
weighted avg 1.00 0.95 0.98 4877461
Accuracy: 0.9534866603751418
1-10%
precision recall f1-score support
0 0.82 0.56 0.67 16949103
1 0.44 0.75 0.56 8016772
accuracy 0.62 24965875
macro avg 0.63 0.65 0.61 24965875
weighted avg 0.70 0.62 0.63 24965875
Accuracy: 0.6194695759712007
10-20%
precision recall f1-score support
0 0.38 0.38 0.38 2057494
1 0.77 0.76 0.76 5461156
accuracy 0.66 7518650
macro avg 0.57 0.57 0.57 7518650
weighted avg 0.66 0.66 0.66 7518650
Accuracy: 0.6587608147739288
20-40%
precision recall f1-score support
0 0.22 0.37 0.27 744974
1 0.87 0.76 0.81 4060539
accuracy 0.70 4805513
macro avg 0.54 0.56 0.54 4805513
weighted avg 0.77 0.70 0.73 4805513
Accuracy: 0.6983512478272351
40-80%
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: 0.7196622842947931
80-90%
precision recall f1-score support
0 0.08 0.37 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: 0.7263761736996154
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: 0.7291404843418207
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.78 0.68 0.73 22531902
1 0.64 0.75 0.69 16938696
accuracy 0.71 39470598
macro avg 0.71 0.71 0.71 39470598
weighted avg 0.72 0.71 0.71 39470598
Accuracy: 0.7088039811304607
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: 0.9997290320832465
1-10%
precision recall f1-score support
0 0.96 0.77 0.86 11439888
1 0.26 0.72 0.38 1271288
accuracy 0.77 12711176
macro avg 0.61 0.75 0.62 12711176
weighted avg 0.89 0.77 0.81 12711176
Accuracy: 0.7678817443799063
10-20%
precision recall f1-score support
0 0.74 0.54 0.62 5044441
1 0.55 0.75 0.64 3812372
accuracy 0.63 8856813
macro avg 0.65 0.64 0.63 8856813
weighted avg 0.66 0.63 0.63 8856813
Accuracy: 0.6299711871527602
20-40%
precision recall f1-score support
0 0.52 0.48 0.50 2995598
1 0.73 0.76 0.74 5583215
accuracy 0.66 8578813
macro avg 0.63 0.62 0.62 8578813
weighted avg 0.66 0.66 0.66 8578813
Accuracy: 0.6623973503094193
40-80%
precision recall f1-score support
0 0.33 0.47 0.38 1295061
1 0.84 0.75 0.80 5001564
accuracy 0.69 6296625
macro avg 0.59 0.61 0.59 6296625
weighted avg 0.74 0.69 0.71 6296625
Accuracy: 0.6927736684334862
80-90%
precision recall f1-score support
0 0.24 0.46 0.31 117971
1 0.89 0.75 0.81 692761
accuracy 0.70 810732
macro avg 0.56 0.60 0.56 810732
weighted avg 0.80 0.70 0.74 810732
Accuracy: 0.7044781752786371
90-100%
precision recall f1-score support
0 0.22 0.46 0.30 88944
1 0.90 0.74 0.82 577496
accuracy 0.71 666440
macro avg 0.56 0.60 0.56 666440
weighted avg 0.81 0.71 0.75 666440
Accuracy: 0.7071289238341036
LR_8_decay_vtime_w_0_75
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.78 0.40 0.53 28055468
1 0.52 0.86 0.65 21729815
accuracy 0.60 49785283
macro avg 0.65 0.63 0.59 49785283
weighted avg 0.67 0.60 0.58 49785283
Accuracy: 0.5979842275878998
0-1%
precision recall f1-score support
0 0.82 0.40 0.54 27764588
1 0.47 0.86 0.60 17098553
accuracy 0.57 44863141
macro avg 0.64 0.63 0.57 44863141
weighted avg 0.69 0.57 0.56 44863141
Accuracy: 0.5734684292390495
1-10%
precision recall f1-score support
0 0.07 0.16 0.10 287564
1 0.94 0.86 0.90 4164787
accuracy 0.82 4452351
macro avg 0.51 0.51 0.50 4452351
weighted avg 0.88 0.82 0.85 4452351
Accuracy: 0.8178569030159571
10-20%
precision recall f1-score support
0 0.01 0.16 0.02 2455
1 0.99 0.86 0.92 257616
accuracy 0.85 260071
macro avg 0.50 0.51 0.47 260071
weighted avg 0.98 0.85 0.91 260071
Accuracy: 0.8531016530101395
20-40%
precision recall f1-score support
0 0.01 0.20 0.01 659
1 1.00 0.86 0.92 130568
accuracy 0.86 131227
macro avg 0.50 0.53 0.47 131227
weighted avg 0.99 0.86 0.92 131227
Accuracy: 0.8580779869996266
40-80%
precision recall f1-score support
0 0.00 0.20 0.01 169
1 1.00 0.86 0.92 65234
accuracy 0.86 65403
macro avg 0.50 0.53 0.47 65403
weighted avg 1.00 0.86 0.92 65403
Accuracy: 0.8575753405807073
80-90%
precision recall f1-score support
0 0.00 0.13 0.00 15
1 1.00 0.86 0.92 7371
accuracy 0.86 7386
macro avg 0.50 0.50 0.46 7386
weighted avg 1.00 0.86 0.92 7386
Accuracy: 0.8590576766856215
90-100%
precision recall f1-score support
0 0.01 0.28 0.01 18
1 1.00 0.87 0.93 5686
accuracy 0.86 5704
macro avg 0.50 0.57 0.47 5704
weighted avg 0.99 0.86 0.92 5704
Accuracy: 0.8643057503506312
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.79 0.44 0.56 26119367
1 0.56 0.86 0.68 21615229
accuracy 0.63 47734596
macro avg 0.67 0.65 0.62 47734596
weighted avg 0.68 0.63 0.61 47734596
Accuracy: 0.6266476414716069
0-1%
precision recall f1-score support
0 0.99 0.64 0.77 12053010
1 0.09 0.82 0.16 508421
accuracy 0.64 12561431
macro avg 0.54 0.73 0.47 12561431
weighted avg 0.95 0.64 0.75 12561431
Accuracy: 0.64341546755302
1-10%
precision recall f1-score support
0 0.64 0.27 0.38 13368467
1 0.56 0.86 0.68 14466820
accuracy 0.57 27835287
macro avg 0.60 0.56 0.53 27835287
weighted avg 0.60 0.57 0.53 27835287
Accuracy: 0.5744337753729646
10-20%
precision recall f1-score support
0 0.18 0.20 0.19 503365
1 0.88 0.86 0.87 3387274
accuracy 0.78 3890639
macro avg 0.53 0.53 0.53 3890639
weighted avg 0.79 0.78 0.78 3890639
Accuracy: 0.7754237800011772
20-40%
precision recall f1-score support
0 0.10 0.21 0.13 147488
1 0.94 0.86 0.89 1970425
accuracy 0.81 2117913
macro avg 0.52 0.53 0.51 2117913
weighted avg 0.88 0.81 0.84 2117913
Accuracy: 0.8116768724683214
40-80%
precision recall f1-score support
0 0.05 0.21 0.09 41616
1 0.97 0.85 0.91 1064279
accuracy 0.83 1105895
macro avg 0.51 0.53 0.50 1105895
weighted avg 0.93 0.83 0.88 1105895
Accuracy: 0.8301402936083444
80-90%
precision recall f1-score support
0 0.04 0.22 0.06 3093
1 0.98 0.85 0.91 120943
accuracy 0.84 124036
macro avg 0.51 0.54 0.49 124036
weighted avg 0.95 0.84 0.89 124036
Accuracy: 0.8359427908026702
90-100%
precision recall f1-score support
0 0.03 0.21 0.06 2328
1 0.98 0.85 0.91 97067
accuracy 0.84 99395
macro avg 0.51 0.53 0.48 99395
weighted avg 0.96 0.84 0.89 99395
Accuracy: 0.8384123949896876
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.79 0.46 0.58 24893266
1 0.57 0.85 0.68 20563095
accuracy 0.64 45456361
macro avg 0.68 0.66 0.63 45456361
weighted avg 0.69 0.64 0.63 45456361
Accuracy: 0.6402726122313223
0-1%
precision recall f1-score support
0 1.00 0.87 0.93 4873589
1 0.01 0.82 0.01 3872
accuracy 0.87 4877461
macro avg 0.50 0.84 0.47 4877461
weighted avg 1.00 0.87 0.93 4877461
Accuracy: 0.8720295251976387
1-10%
precision recall f1-score support
0 0.85 0.39 0.53 16949103
1 0.40 0.85 0.54 8016772
accuracy 0.54 24965875
macro avg 0.62 0.62 0.54 24965875
weighted avg 0.70 0.54 0.53 24965875
Accuracy: 0.5353292844733061
10-20%
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: 0.6907903679516935
20-40%
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: 0.7602424548638199
40-80%
precision recall f1-score support
0 0.13 0.24 0.17 235909
1 0.92 0.85 0.89 2483775
accuracy 0.80 2719684
macro avg 0.53 0.54 0.53 2719684
weighted avg 0.85 0.80 0.82 2719684
Accuracy: 0.7996167937157405
80-90%
precision recall f1-score support
0 0.09 0.24 0.13 18577
1 0.95 0.85 0.90 296772
accuracy 0.81 315349
macro avg 0.52 0.55 0.51 315349
weighted avg 0.90 0.81 0.85 315349
Accuracy: 0.8141836504951657
90-100%
precision recall f1-score support
0 0.08 0.24 0.12 13620
1 0.95 0.85 0.90 240209
accuracy 0.82 253829
macro avg 0.52 0.55 0.51 253829
weighted avg 0.91 0.82 0.86 253829
Accuracy: 0.8178182949938738
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.81 0.54 0.65 22531902
1 0.58 0.84 0.68 16938696
accuracy 0.67 39470598
macro avg 0.70 0.69 0.67 39470598
weighted avg 0.71 0.67 0.66 39470598
Accuracy: 0.6674256113373301
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: 0.9968864496041611
1-10%
precision recall f1-score support
0 0.97 0.63 0.77 11439888
1 0.20 0.81 0.32 1271288
accuracy 0.65 12711176
macro avg 0.58 0.72 0.54 12711176
weighted avg 0.89 0.65 0.72 12711176
Accuracy: 0.65254780517554
10-20%
precision recall f1-score support
0 0.75 0.38 0.50 5044441
1 0.50 0.83 0.63 3812372
accuracy 0.57 8856813
macro avg 0.63 0.61 0.57 8856813
weighted avg 0.65 0.57 0.56 8856813
Accuracy: 0.5749673161214988
20-40%
precision recall f1-score support
0 0.53 0.33 0.40 2995598
1 0.70 0.84 0.76 5583215
accuracy 0.66 8578813
macro avg 0.61 0.59 0.58 8578813
weighted avg 0.64 0.66 0.64 8578813
Accuracy: 0.6626319981563883
40-80%
precision recall f1-score support
0 0.33 0.31 0.32 1295061
1 0.82 0.84 0.83 5001564
accuracy 0.73 6296625
macro avg 0.58 0.58 0.58 6296625
weighted avg 0.72 0.73 0.73 6296625
Accuracy: 0.7307795843011137
80-90%
precision recall f1-score support
0 0.24 0.31 0.27 117971
1 0.88 0.84 0.86 692761
accuracy 0.76 810732
macro avg 0.56 0.57 0.56 810732
weighted avg 0.78 0.76 0.77 810732
Accuracy: 0.7593804117760247
90-100%
precision recall f1-score support
0 0.22 0.31 0.26 88944
1 0.89 0.84 0.86 577496
accuracy 0.76 666440
macro avg 0.56 0.57 0.56 666440
weighted avg 0.80 0.76 0.78 666440
Accuracy: 0.7649480823479983
LR_9
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.92 0.46 0.62 28055468
1 0.58 0.95 0.72 21729815
accuracy 0.67 49785283
macro avg 0.75 0.71 0.67 49785283
weighted avg 0.77 0.67 0.66 49785283
Accuracy: 0.6748175560235341
0-1%
precision recall f1-score support
0 0.92 0.47 0.62 27764588
1 0.52 0.93 0.67 17098553
accuracy 0.65 44863141
macro avg 0.72 0.70 0.64 44863141
weighted avg 0.77 0.65 0.64 44863141
Accuracy: 0.6456711535199909
1-10%
precision recall f1-score support
0 0.19 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.93 4452351
macro avg 0.56 0.50 0.49 4452351
weighted avg 0.89 0.93 0.90 4452351
Accuracy: 0.9349646961796139
10-20%
precision recall f1-score support
0 0.28 0.01 0.02 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.64 0.50 0.51 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9904141561342864
20-40%
precision recall f1-score support
0 0.19 0.02 0.04 659
1 1.00 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.59 0.51 0.52 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9946504911336844
40-80%
precision recall f1-score support
0 0.24 0.08 0.12 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.62 0.54 0.56 65403
weighted avg 1.00 1.00 1.00 65403
Accuracy: 0.9969726159350488
80-90%
precision recall f1-score support
0 0.12 0.07 0.09 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.56 0.53 0.54 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9971567831031681
90-100%
precision recall f1-score support
0 0.36 0.22 0.28 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.68 0.61 0.64 5704
weighted avg 1.00 1.00 1.00 5704
Accuracy: 0.9963183730715287
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.92 0.48 0.63 26119367
1 0.60 0.95 0.73 21615229
accuracy 0.69 47734596
macro avg 0.76 0.71 0.68 47734596
weighted avg 0.77 0.69 0.68 47734596
Accuracy: 0.6898931123246544
0-1%
precision recall f1-score support
0 0.97 0.81 0.89 12053010
1 0.08 0.40 0.14 508421
accuracy 0.80 12561431
macro avg 0.53 0.61 0.51 12561431
weighted avg 0.93 0.80 0.86 12561431
Accuracy: 0.7980078065946468
1-10%
precision recall f1-score support
0 0.76 0.20 0.31 13368467
1 0.56 0.94 0.70 14466820
accuracy 0.58 27835287
macro avg 0.66 0.57 0.51 27835287
weighted avg 0.66 0.58 0.52 27835287
Accuracy: 0.5849552404471347
10-20%
precision recall f1-score support
0 0.27 0.01 0.02 503365
1 0.87 1.00 0.93 3387274
accuracy 0.87 3890639
macro avg 0.57 0.50 0.47 3890639
weighted avg 0.79 0.87 0.81 3890639
Accuracy: 0.868560151687165
20-40%
precision recall f1-score support
0 0.23 0.01 0.02 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.58 0.50 0.49 2117913
weighted avg 0.88 0.93 0.90 2117913
Accuracy: 0.9284191560276556
40-80%
precision recall f1-score support
0 0.21 0.02 0.03 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.58 0.51 0.51 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9603850275116534
80-90%
precision recall f1-score support
0 0.22 0.03 0.05 3093
1 0.98 1.00 0.99 120943
accuracy 0.97 124036
macro avg 0.60 0.51 0.52 124036
weighted avg 0.96 0.97 0.96 124036
Accuracy: 0.9732335773485117
90-100%
precision recall f1-score support
0 0.21 0.03 0.05 2328
1 0.98 1.00 0.99 97067
accuracy 0.97 99395
macro avg 0.59 0.51 0.52 99395
weighted avg 0.96 0.97 0.97 99395
Accuracy: 0.974757281553398
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.92 0.48 0.63 24893266
1 0.60 0.95 0.74 20563095
accuracy 0.69 45456361
macro avg 0.76 0.71 0.68 45456361
weighted avg 0.77 0.69 0.68 45456361
Accuracy: 0.6928225072834141
0-1%
precision recall f1-score support
0 1.00 0.95 0.98 4873589
1 0.00 0.18 0.01 3872
accuracy 0.95 4877461
macro avg 0.50 0.56 0.49 4877461
weighted avg 1.00 0.95 0.97 4877461
Accuracy: 0.9516457435538695
1-10%
precision recall f1-score support
0 0.88 0.43 0.58 16949103
1 0.42 0.88 0.57 8016772
accuracy 0.57 24965875
macro avg 0.65 0.65 0.57 24965875
weighted avg 0.73 0.57 0.58 24965875
Accuracy: 0.5747385581318499
10-20%
precision recall f1-score support
0 0.45 0.03 0.05 2057494
1 0.73 0.99 0.84 5461156
accuracy 0.72 7518650
macro avg 0.59 0.51 0.44 7518650
weighted avg 0.65 0.72 0.62 7518650
Accuracy: 0.7249386525506574
20-40%
precision recall f1-score support
0 0.32 0.02 0.04 744974
1 0.85 0.99 0.91 4060539
accuracy 0.84 4805513
macro avg 0.58 0.51 0.48 4805513
weighted avg 0.76 0.84 0.78 4805513
Accuracy: 0.8415222266592557
40-80%
precision recall f1-score support
0 0.26 0.02 0.04 235909
1 0.91 0.99 0.95 2483775
accuracy 0.91 2719684
macro avg 0.59 0.51 0.50 2719684
weighted avg 0.86 0.91 0.87 2719684
Accuracy: 0.9094619080746146
80-90%
precision recall f1-score support
0 0.23 0.03 0.05 18577
1 0.94 0.99 0.97 296772
accuracy 0.94 315349
macro avg 0.59 0.51 0.51 315349
weighted avg 0.90 0.94 0.91 315349
Accuracy: 0.9372853568585916
90-100%
precision recall f1-score support
0 0.22 0.03 0.05 13620
1 0.95 0.99 0.97 240209
accuracy 0.94 253829
macro avg 0.58 0.51 0.51 253829
weighted avg 0.91 0.94 0.92 253829
Accuracy: 0.9423548924669758
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.92 0.50 0.64 22531902
1 0.58 0.95 0.72 16938696
accuracy 0.69 39470598
macro avg 0.75 0.72 0.68 39470598
weighted avg 0.78 0.69 0.68 39470598
Accuracy: 0.6886203244247782
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: 0.9999606451359001
1-10%
precision recall f1-score support
0 0.95 0.74 0.83 11439888
1 0.22 0.67 0.33 1271288
accuracy 0.73 12711176
macro avg 0.59 0.70 0.58 12711176
weighted avg 0.88 0.73 0.78 12711176
Accuracy: 0.7288902301407832
10-20%
precision recall f1-score support
0 0.78 0.19 0.30 5044441
1 0.46 0.93 0.62 3812372
accuracy 0.51 8856813
macro avg 0.62 0.56 0.46 8856813
weighted avg 0.65 0.51 0.44 8856813
Accuracy: 0.5068793932986956
20-40%
precision recall f1-score support
0 0.59 0.06 0.12 2995598
1 0.66 0.98 0.79 5583215
accuracy 0.66 8578813
macro avg 0.62 0.52 0.45 8578813
weighted avg 0.63 0.66 0.55 8578813
Accuracy: 0.6574943410003226
40-80%
precision recall f1-score support
0 0.41 0.05 0.08 1295061
1 0.80 0.98 0.88 5001564
accuracy 0.79 6296625
macro avg 0.60 0.51 0.48 6296625
weighted avg 0.72 0.79 0.72 6296625
Accuracy: 0.790120580469696
80-90%
precision recall f1-score support
0 0.33 0.05 0.08 117971
1 0.86 0.98 0.92 692761
accuracy 0.85 810732
macro avg 0.60 0.51 0.50 810732
weighted avg 0.78 0.85 0.80 810732
Accuracy: 0.8478708130430278
90-100%
precision recall f1-score support
0 0.32 0.05 0.08 88944
1 0.87 0.98 0.92 577496
accuracy 0.86 666440
macro avg 0.60 0.52 0.50 666440
weighted avg 0.80 0.86 0.81 666440
Accuracy: 0.8596722885781165
LR_9_decay_rtime
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.93 0.55 0.69 28055468
1 0.62 0.95 0.75 21729815
accuracy 0.73 49785283
macro avg 0.78 0.75 0.72 49785283
weighted avg 0.80 0.73 0.72 49785283
Accuracy: 0.7255593987484213
0-1%
precision recall f1-score support
0 0.93 0.56 0.70 27764588
1 0.57 0.93 0.70 17098553
accuracy 0.70 44863141
macro avg 0.75 0.75 0.70 44863141
weighted avg 0.79 0.70 0.70 44863141
Accuracy: 0.7019329743318685
1-10%
precision recall f1-score support
0 0.00 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.47 0.50 0.48 4452351
weighted avg 0.87 0.94 0.90 4452351
Accuracy: 0.9354129986607076
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.93 0.49 0.64 26119367
1 0.61 0.95 0.74 21615229
accuracy 0.70 47734596
macro avg 0.77 0.72 0.69 47734596
weighted avg 0.78 0.70 0.69 47734596
Accuracy: 0.702004831045391
0-1%
precision recall f1-score support
0 0.98 0.88 0.92 12053010
1 0.15 0.51 0.23 508421
accuracy 0.86 12561431
macro avg 0.56 0.69 0.58 12561431
weighted avg 0.94 0.86 0.90 12561431
Accuracy: 0.8612059406288981
1-10%
precision recall f1-score support
0 0.76 0.17 0.28 13368467
1 0.55 0.95 0.70 14466820
accuracy 0.58 27835287
macro avg 0.66 0.56 0.49 27835287
weighted avg 0.65 0.58 0.50 27835287
Accuracy: 0.5768442409090303
10-20%
precision recall f1-score support
0 0.18 0.00 0.00 503365
1 0.87 1.00 0.93 3387274
accuracy 0.87 3890639
macro avg 0.53 0.50 0.47 3890639
weighted avg 0.78 0.87 0.81 3890639
Accuracy: 0.8696383807389995
20-40%
precision recall f1-score support
0 0.09 0.00 0.00 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.51 0.50 0.48 2117913
weighted avg 0.87 0.93 0.90 2117913
Accuracy: 0.930020260511173
40-80%
precision recall f1-score support
0 0.04 0.00 0.00 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.50 0.50 0.49 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9622577188611938
80-90%
precision recall f1-score support
0 0.25 0.00 0.00 3093
1 0.98 1.00 0.99 120943
accuracy 0.98 124036
macro avg 0.61 0.50 0.49 124036
weighted avg 0.96 0.98 0.96 124036
Accuracy: 0.9750475668354349
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.98 99395
macro avg 0.49 0.50 0.49 99395
weighted avg 0.95 0.98 0.96 99395
Accuracy: 0.9765581769706726
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.91 0.38 0.53 24893266
1 0.56 0.96 0.70 20563095
accuracy 0.64 45456361
macro avg 0.73 0.67 0.62 45456361
weighted avg 0.75 0.64 0.61 45456361
Accuracy: 0.6375908973443782
0-1%
precision recall f1-score support
0 1.00 0.92 0.96 4873589
1 0.01 0.77 0.02 3872
accuracy 0.92 4877461
macro avg 0.50 0.84 0.49 4877461
weighted avg 1.00 0.92 0.96 4877461
Accuracy: 0.9202041800026695
1-10%
precision recall f1-score support
0 0.89 0.28 0.42 16949103
1 0.38 0.93 0.54 8016772
accuracy 0.49 24965875
macro avg 0.64 0.60 0.48 24965875
weighted avg 0.73 0.49 0.46 24965875
Accuracy: 0.48612496057117965
10-20%
precision recall f1-score support
0 0.41 0.06 0.11 2057494
1 0.73 0.97 0.83 5461156
accuracy 0.72 7518650
macro avg 0.57 0.51 0.47 7518650
weighted avg 0.64 0.72 0.63 7518650
Accuracy: 0.7182914485978201
20-40%
precision recall f1-score support
0 0.24 0.04 0.07 744974
1 0.85 0.97 0.91 4060539
accuracy 0.83 4805513
macro avg 0.54 0.51 0.49 4805513
weighted avg 0.75 0.83 0.78 4805513
Accuracy: 0.8301423802203843
40-80%
precision recall f1-score support
0 0.13 0.03 0.05 235909
1 0.91 0.98 0.95 2483775
accuracy 0.90 2719684
macro avg 0.52 0.51 0.50 2719684
weighted avg 0.85 0.90 0.87 2719684
Accuracy: 0.8972244569589702
80-90%
precision recall f1-score support
0 0.09 0.03 0.05 18577
1 0.94 0.98 0.96 296772
accuracy 0.93 315349
macro avg 0.52 0.51 0.50 315349
weighted avg 0.89 0.93 0.91 315349
Accuracy: 0.9250608056470767
90-100%
precision recall f1-score support
0 0.07 0.03 0.04 13620
1 0.95 0.98 0.96 240209
accuracy 0.93 253829
macro avg 0.51 0.50 0.50 253829
weighted avg 0.90 0.93 0.91 253829
Accuracy: 0.9299213249865067
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.85 0.36 0.51 22531902
1 0.52 0.92 0.66 16938696
accuracy 0.60 39470598
macro avg 0.69 0.64 0.59 39470598
weighted avg 0.71 0.60 0.58 39470598
Accuracy: 0.6007910242454396
0-1%
precision recall f1-score support
0 1.00 0.97 0.98 1549999
1 0.00 0.00 0.00 0
accuracy 0.97 1549999
macro avg 0.50 0.48 0.49 1549999
weighted avg 1.00 0.97 0.98 1549999
Accuracy: 0.9673096563288105
1-10%
precision recall f1-score support
0 0.97 0.42 0.59 11439888
1 0.15 0.90 0.25 1271288
accuracy 0.47 12711176
macro avg 0.56 0.66 0.42 12711176
weighted avg 0.89 0.47 0.56 12711176
Accuracy: 0.4709554804370579
10-20%
precision recall f1-score support
0 0.76 0.21 0.33 5044441
1 0.47 0.91 0.62 3812372
accuracy 0.51 8856813
macro avg 0.62 0.56 0.47 8856813
weighted avg 0.64 0.51 0.45 8856813
Accuracy: 0.5127644673089519
20-40%
precision recall f1-score support
0 0.54 0.18 0.27 2995598
1 0.68 0.92 0.78 5583215
accuracy 0.66 8578813
macro avg 0.61 0.55 0.52 8578813
weighted avg 0.63 0.66 0.60 8578813
Accuracy: 0.6608404915691717
40-80%
precision recall f1-score support
0 0.35 0.17 0.23 1295061
1 0.81 0.92 0.86 5001564
accuracy 0.76 6296625
macro avg 0.58 0.54 0.54 6296625
weighted avg 0.72 0.76 0.73 6296625
Accuracy: 0.7649642467194727
80-90%
precision recall f1-score support
0 0.26 0.17 0.20 117971
1 0.87 0.92 0.89 692761
accuracy 0.81 810732
macro avg 0.56 0.54 0.55 810732
weighted avg 0.78 0.81 0.79 810732
Accuracy: 0.8088517537237953
90-100%
precision recall f1-score support
0 0.24 0.17 0.20 88944
1 0.88 0.92 0.90 577496
accuracy 0.82 666440
macro avg 0.56 0.54 0.55 666440
weighted avg 0.79 0.82 0.80 666440
Accuracy: 0.8173473981153592
LR_9_decay_rtime_w_0_5
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.86 0.71 0.78 28055468
1 0.69 0.85 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: 0.770221573311133
0-1%
precision recall f1-score support
0 0.86 0.71 0.78 27764588
1 0.64 0.81 0.71 17098553
accuracy 0.75 44863141
macro avg 0.75 0.76 0.75 44863141
weighted avg 0.77 0.75 0.76 44863141
Accuracy: 0.7514952419403715
1-10%
precision recall f1-score support
0 0.00 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.47 0.50 0.48 4452351
weighted avg 0.87 0.94 0.90 4452351
Accuracy: 0.9354129986607076
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.85 0.64 0.73 26119367
1 0.67 0.86 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: 0.7421083442289949
0-1%
precision recall f1-score support
0 0.97 0.96 0.96 12053010
1 0.19 0.24 0.22 508421
accuracy 0.93 12561431
macro avg 0.58 0.60 0.59 12561431
weighted avg 0.94 0.93 0.93 12561431
Accuracy: 0.928404733505283
1-10%
precision recall f1-score support
0 0.68 0.39 0.50 13368467
1 0.60 0.83 0.69 14466820
accuracy 0.62 27835287
macro avg 0.64 0.61 0.59 27835287
weighted avg 0.63 0.62 0.60 27835287
Accuracy: 0.6183452680046015
10-20%
precision recall f1-score support
0 0.17 0.03 0.06 503365
1 0.87 0.98 0.92 3387274
accuracy 0.85 3890639
macro avg 0.52 0.50 0.49 3890639
weighted avg 0.78 0.85 0.81 3890639
Accuracy: 0.8539378749866025
20-40%
precision recall f1-score support
0 0.09 0.01 0.03 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: 0.9213565429741448
40-80%
precision recall f1-score support
0 0.05 0.01 0.01 41616
1 0.96 0.99 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: 0.9578160675290149
80-90%
precision recall f1-score support
0 0.04 0.01 0.01 3093
1 0.98 1.00 0.99 120943
accuracy 0.97 124036
macro avg 0.51 0.50 0.50 124036
weighted avg 0.95 0.97 0.96 124036
Accuracy: 0.9719033183914347
90-100%
precision recall f1-score support
0 0.03 0.00 0.01 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: 0.9740932642487047
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.80 0.56 0.66 24893266
1 0.61 0.83 0.70 20563095
accuracy 0.68 45456361
macro avg 0.71 0.70 0.68 45456361
weighted avg 0.71 0.68 0.68 45456361
Accuracy: 0.6820631550334616
0-1%
precision recall f1-score support
0 1.00 0.97 0.98 4873589
1 0.02 0.64 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: 0.9698724397796312
1-10%
precision recall f1-score support
0 0.85 0.49 0.62 16949103
1 0.43 0.81 0.56 8016772
accuracy 0.59 24965875
macro avg 0.64 0.65 0.59 24965875
weighted avg 0.71 0.59 0.60 24965875
Accuracy: 0.5949319621283051
10-20%
precision recall f1-score support
0 0.39 0.26 0.31 2057494
1 0.75 0.85 0.80 5461156
accuracy 0.69 7518650
macro avg 0.57 0.55 0.56 7518650
weighted avg 0.65 0.69 0.66 7518650
Accuracy: 0.6864929209366043
20-40%
precision recall f1-score support
0 0.23 0.24 0.23 744974
1 0.86 0.85 0.85 4060539
accuracy 0.76 4805513
macro avg 0.54 0.55 0.54 4805513
weighted avg 0.76 0.76 0.76 4805513
Accuracy: 0.7555006094042405
40-80%
precision recall f1-score support
0 0.13 0.24 0.17 235909
1 0.92 0.85 0.88 2483775
accuracy 0.80 2719684
macro avg 0.53 0.54 0.53 2719684
weighted avg 0.85 0.80 0.82 2719684
Accuracy: 0.7962766997930641
80-90%
precision recall f1-score support
0 0.09 0.24 0.13 18577
1 0.95 0.85 0.89 296772
accuracy 0.81 315349
macro avg 0.52 0.54 0.51 315349
weighted avg 0.90 0.81 0.85 315349
Accuracy: 0.8115453037745481
90-100%
precision recall f1-score support
0 0.08 0.24 0.12 13620
1 0.95 0.85 0.90 240209
accuracy 0.82 253829
macro avg 0.52 0.54 0.51 253829
weighted avg 0.91 0.82 0.86 253829
Accuracy: 0.8154623782152551
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.78 0.68 0.73 22531902
1 0.64 0.75 0.69 16938696
accuracy 0.71 39470598
macro avg 0.71 0.71 0.71 39470598
weighted avg 0.72 0.71 0.71 39470598
Accuracy: 0.7087969885837554
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: 0.9997290320832465
1-10%
precision recall f1-score support
0 0.96 0.77 0.86 11439888
1 0.26 0.72 0.38 1271288
accuracy 0.77 12711176
macro avg 0.61 0.75 0.62 12711176
weighted avg 0.89 0.77 0.81 12711176
Accuracy: 0.7678635713957545
10-20%
precision recall f1-score support
0 0.74 0.54 0.62 5044441
1 0.55 0.75 0.64 3812372
accuracy 0.63 8856813
macro avg 0.65 0.64 0.63 8856813
weighted avg 0.66 0.63 0.63 8856813
Accuracy: 0.6299615900211509
20-40%
precision recall f1-score support
0 0.52 0.48 0.50 2995598
1 0.73 0.76 0.74 5583215
accuracy 0.66 8578813
macro avg 0.63 0.62 0.62 8578813
weighted avg 0.66 0.66 0.66 8578813
Accuracy: 0.6623935036234033
40-80%
precision recall f1-score support
0 0.33 0.47 0.38 1295061
1 0.84 0.75 0.80 5001564
accuracy 0.69 6296625
macro avg 0.59 0.61 0.59 6296625
weighted avg 0.74 0.69 0.71 6296625
Accuracy: 0.6927816091954023
80-90%
precision recall f1-score support
0 0.24 0.46 0.31 117971
1 0.89 0.75 0.81 692761
accuracy 0.70 810732
macro avg 0.56 0.60 0.56 810732
weighted avg 0.80 0.70 0.74 810732
Accuracy: 0.7044929767173369
90-100%
precision recall f1-score support
0 0.22 0.46 0.30 88944
1 0.90 0.74 0.82 577496
accuracy 0.71 666440
macro avg 0.56 0.60 0.56 666440
weighted avg 0.81 0.71 0.75 666440
Accuracy: 0.7071454294460117
LR_9_decay_rtime_w_0_75
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.90 0.64 0.75 28055468
1 0.66 0.90 0.76 21729815
accuracy 0.75 49785283
macro avg 0.78 0.77 0.75 49785283
weighted avg 0.79 0.75 0.75 49785283
Accuracy: 0.7541967773890127
0-1%
precision recall f1-score support
0 0.90 0.65 0.75 27764588
1 0.60 0.88 0.72 17098553
accuracy 0.73 44863141
macro avg 0.75 0.76 0.73 44863141
weighted avg 0.78 0.73 0.74 44863141
Accuracy: 0.7337122917898237
1-10%
precision recall f1-score support
0 0.00 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.47 0.50 0.48 4452351
weighted avg 0.87 0.94 0.90 4452351
Accuracy: 0.9354129986607076
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.89 0.57 0.69 26119367
1 0.64 0.92 0.75 21615229
accuracy 0.73 47734596
macro avg 0.76 0.74 0.72 47734596
weighted avg 0.78 0.73 0.72 47734596
Accuracy: 0.7263995488722687
0-1%
precision recall f1-score support
0 0.97 0.93 0.95 12053010
1 0.17 0.37 0.23 508421
accuracy 0.90 12561431
macro avg 0.57 0.65 0.59 12561431
weighted avg 0.94 0.90 0.92 12561431
Accuracy: 0.9025661964787293
1-10%
precision recall f1-score support
0 0.72 0.28 0.40 13368467
1 0.57 0.90 0.70 14466820
accuracy 0.60 27835287
macro avg 0.65 0.59 0.55 27835287
weighted avg 0.64 0.60 0.56 27835287
Accuracy: 0.600780764358564
10-20%
precision recall f1-score support
0 0.18 0.01 0.02 503365
1 0.87 0.99 0.93 3387274
accuracy 0.87 3890639
macro avg 0.52 0.50 0.47 3890639
weighted avg 0.78 0.87 0.81 3890639
Accuracy: 0.8655570460276577
20-40%
precision recall f1-score support
0 0.10 0.00 0.01 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.52 0.50 0.49 2117913
weighted avg 0.87 0.93 0.90 2117913
Accuracy: 0.9280022361636195
40-80%
precision recall f1-score support
0 0.06 0.00 0.00 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: 0.9613055488993077
80-90%
precision recall f1-score support
0 0.05 0.00 0.00 3093
1 0.98 1.00 0.99 120943
accuracy 0.97 124036
macro avg 0.51 0.50 0.50 124036
weighted avg 0.95 0.97 0.96 124036
Accuracy: 0.9743622819181528
90-100%
precision recall f1-score support
0 0.03 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.98 99395
macro avg 0.50 0.50 0.49 99395
weighted avg 0.95 0.98 0.96 99395
Accuracy: 0.9759444640072438
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.86 0.52 0.65 24893266
1 0.61 0.90 0.73 20563095
accuracy 0.69 45456361
macro avg 0.73 0.71 0.69 45456361
weighted avg 0.75 0.69 0.69 45456361
Accuracy: 0.692879639001459
0-1%
precision recall f1-score support
0 1.00 0.99 0.99 4873589
1 0.02 0.23 0.03 3872
accuracy 0.99 4877461
macro avg 0.51 0.61 0.51 4877461
weighted avg 1.00 0.99 0.99 4877461
Accuracy: 0.9888929916610302
1-10%
precision recall f1-score support
0 0.86 0.47 0.60 16949103
1 0.43 0.84 0.56 8016772
accuracy 0.58 24965875
macro avg 0.64 0.65 0.58 24965875
weighted avg 0.72 0.58 0.59 24965875
Accuracy: 0.5842311555272948
10-20%
precision recall f1-score support
0 0.39 0.13 0.19 2057494
1 0.74 0.92 0.82 5461156
accuracy 0.71 7518650
macro avg 0.56 0.53 0.51 7518650
weighted avg 0.64 0.71 0.65 7518650
Accuracy: 0.7061187846222393
20-40%
precision recall f1-score support
0 0.23 0.10 0.14 744974
1 0.85 0.94 0.89 4060539
accuracy 0.81 4805513
macro avg 0.54 0.52 0.51 4805513
weighted avg 0.75 0.81 0.78 4805513
Accuracy: 0.8098831487918148
40-80%
precision recall f1-score support
0 0.13 0.08 0.10 235909
1 0.92 0.95 0.93 2483775
accuracy 0.87 2719684
macro avg 0.52 0.52 0.52 2719684
weighted avg 0.85 0.87 0.86 2719684
Accuracy: 0.8726164510288695
80-90%
precision recall f1-score support
0 0.09 0.07 0.08 18577
1 0.94 0.95 0.95 296772
accuracy 0.90 315349
macro avg 0.51 0.51 0.51 315349
weighted avg 0.89 0.90 0.90 315349
Accuracy: 0.8983221763823573
90-100%
precision recall f1-score support
0 0.08 0.07 0.07 13620
1 0.95 0.95 0.95 240209
accuracy 0.90 253829
macro avg 0.51 0.51 0.51 253829
weighted avg 0.90 0.90 0.90 253829
Accuracy: 0.9028440406730516
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.82 0.54 0.65 22531902
1 0.58 0.84 0.68 16938696
accuracy 0.67 39470598
macro avg 0.70 0.69 0.67 39470598
weighted avg 0.71 0.67 0.66 39470598
Accuracy: 0.6672459586246958
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: 0.9968677399146709
1-10%
precision recall f1-score support
0 0.97 0.63 0.77 11439888
1 0.20 0.82 0.32 1271288
accuracy 0.65 12711176
macro avg 0.58 0.72 0.54 12711176
weighted avg 0.89 0.65 0.72 12711176
Accuracy: 0.652054931817481
10-20%
precision recall f1-score support
0 0.75 0.38 0.50 5044441
1 0.50 0.83 0.63 3812372
accuracy 0.57 8856813
macro avg 0.63 0.61 0.57 8856813
weighted avg 0.64 0.57 0.56 8856813
Accuracy: 0.5747530178180346
20-40%
precision recall f1-score support
0 0.53 0.33 0.40 2995598
1 0.70 0.84 0.76 5583215
accuracy 0.66 8578813
macro avg 0.61 0.59 0.58 8578813
weighted avg 0.64 0.66 0.64 8578813
Accuracy: 0.6626309490602021
40-80%
precision recall f1-score support
0 0.33 0.31 0.32 1295061
1 0.82 0.84 0.83 5001564
accuracy 0.73 6296625
macro avg 0.58 0.58 0.58 6296625
weighted avg 0.72 0.73 0.73 6296625
Accuracy: 0.7309125126555893
80-90%
precision recall f1-score support
0 0.24 0.31 0.27 117971
1 0.88 0.84 0.86 692761
accuracy 0.76 810732
macro avg 0.56 0.57 0.56 810732
weighted avg 0.78 0.76 0.77 810732
Accuracy: 0.7595617294000977
90-100%
precision recall f1-score support
0 0.22 0.31 0.26 88944
1 0.89 0.84 0.86 577496
accuracy 0.77 666440
macro avg 0.56 0.57 0.56 666440
weighted avg 0.80 0.77 0.78 666440
Accuracy: 0.7651371466298541
LR_9_decay_vtime
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.84 0.23 0.35 28055468
1 0.49 0.94 0.64 21729815
accuracy 0.54 49785283
macro avg 0.66 0.58 0.50 49785283
weighted avg 0.68 0.54 0.48 49785283
Accuracy: 0.5389093198485986
0-1%
precision recall f1-score support
0 0.87 0.23 0.36 27764588
1 0.43 0.94 0.59 17098553
accuracy 0.50 44863141
macro avg 0.65 0.59 0.47 44863141
weighted avg 0.70 0.50 0.45 44863141
Accuracy: 0.49991528680526404
1-10%
precision recall f1-score support
0 0.08 0.07 0.07 287564
1 0.94 0.95 0.94 4164787
accuracy 0.89 4452351
macro avg 0.51 0.51 0.51 4452351
weighted avg 0.88 0.89 0.89 4452351
Accuracy: 0.8895844015891828
10-20%
precision recall f1-score support
0 0.01 0.08 0.02 2455
1 0.99 0.94 0.97 257616
accuracy 0.94 260071
macro avg 0.50 0.51 0.50 260071
weighted avg 0.98 0.94 0.96 260071
Accuracy: 0.9368210988537745
20-40%
precision recall f1-score support
0 0.01 0.10 0.02 659
1 1.00 0.95 0.97 130568
accuracy 0.94 131227
macro avg 0.50 0.52 0.49 131227
weighted avg 0.99 0.94 0.97 131227
Accuracy: 0.9418945796215717
40-80%
precision recall f1-score support
0 0.01 0.16 0.01 169
1 1.00 0.94 0.97 65234
accuracy 0.94 65403
macro avg 0.50 0.55 0.49 65403
weighted avg 1.00 0.94 0.97 65403
Accuracy: 0.9425561518584774
80-90%
precision recall f1-score support
0 0.00 0.13 0.01 15
1 1.00 0.95 0.97 7371
accuracy 0.94 7386
macro avg 0.50 0.54 0.49 7386
weighted avg 1.00 0.94 0.97 7386
Accuracy: 0.9440834010289737
90-100%
precision recall f1-score support
0 0.02 0.28 0.03 18
1 1.00 0.95 0.97 5686
accuracy 0.94 5704
macro avg 0.51 0.61 0.50 5704
weighted avg 0.99 0.94 0.97 5704
Accuracy: 0.9431977559607293
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.83 0.28 0.42 26119367
1 0.52 0.93 0.66 21615229
accuracy 0.57 47734596
macro avg 0.67 0.60 0.54 47734596
weighted avg 0.69 0.57 0.53 47734596
Accuracy: 0.5734690830943662
0-1%
precision recall f1-score support
0 0.99 0.44 0.61 12053010
1 0.06 0.91 0.12 508421
accuracy 0.46 12561431
macro avg 0.53 0.68 0.37 12561431
weighted avg 0.95 0.46 0.59 12561431
Accuracy: 0.4628935190584576
1-10%
precision recall f1-score support
0 0.65 0.14 0.23 13368467
1 0.54 0.93 0.68 14466820
accuracy 0.55 27835287
macro avg 0.59 0.53 0.46 27835287
weighted avg 0.59 0.55 0.46 27835287
Accuracy: 0.5500978667832669
10-20%
precision recall f1-score support
0 0.18 0.10 0.13 503365
1 0.87 0.93 0.90 3387274
accuracy 0.82 3890639
macro avg 0.53 0.52 0.52 3890639
weighted avg 0.79 0.82 0.80 3890639
Accuracy: 0.8238428186218254
20-40%
precision recall f1-score support
0 0.10 0.11 0.10 147488
1 0.93 0.93 0.93 1970425
accuracy 0.87 2117913
macro avg 0.52 0.52 0.52 2117913
weighted avg 0.87 0.87 0.87 2117913
Accuracy: 0.8721297805906097
40-80%
precision recall f1-score support
0 0.06 0.11 0.08 41616
1 0.96 0.93 0.95 1064279
accuracy 0.90 1105895
macro avg 0.51 0.52 0.51 1105895
weighted avg 0.93 0.90 0.91 1105895
Accuracy: 0.8973220784975066
80-90%
precision recall f1-score support
0 0.04 0.12 0.06 3093
1 0.98 0.93 0.95 120943
accuracy 0.91 124036
macro avg 0.51 0.53 0.51 124036
weighted avg 0.95 0.91 0.93 124036
Accuracy: 0.9071398626205295
90-100%
precision recall f1-score support
0 0.04 0.12 0.06 2328
1 0.98 0.93 0.95 97067
accuracy 0.91 99395
macro avg 0.51 0.52 0.51 99395
weighted avg 0.96 0.91 0.93 99395
Accuracy: 0.9089592031792344
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.83 0.31 0.45 24893266
1 0.53 0.92 0.67 20563095
accuracy 0.59 45456361
macro avg 0.68 0.62 0.56 45456361
weighted avg 0.69 0.59 0.55 45456361
Accuracy: 0.588235582694356
0-1%
precision recall f1-score support
0 1.00 0.72 0.83 4873589
1 0.00 0.91 0.01 3872
accuracy 0.72 4877461
macro avg 0.50 0.81 0.42 4877461
weighted avg 1.00 0.72 0.83 4877461
Accuracy: 0.7155848093916076
1-10%
precision recall f1-score support
0 0.86 0.23 0.36 16949103
1 0.36 0.92 0.52 8016772
accuracy 0.45 24965875
macro avg 0.61 0.57 0.44 24965875
weighted avg 0.70 0.45 0.41 24965875
Accuracy: 0.4500897324848418
10-20%
precision recall f1-score support
0 0.40 0.13 0.20 2057494
1 0.74 0.93 0.82 5461156
accuracy 0.71 7518650
macro avg 0.57 0.53 0.51 7518650
weighted avg 0.65 0.71 0.65 7518650
Accuracy: 0.7093216202376756
20-40%
precision recall f1-score support
0 0.24 0.13 0.17 744974
1 0.85 0.93 0.89 4060539
accuracy 0.80 4805513
macro avg 0.55 0.53 0.53 4805513
weighted avg 0.76 0.80 0.78 4805513
Accuracy: 0.8020350792933033
40-80%
precision recall f1-score support
0 0.14 0.13 0.14 235909
1 0.92 0.92 0.92 2483775
accuracy 0.85 2719684
macro avg 0.53 0.53 0.53 2719684
weighted avg 0.85 0.85 0.85 2719684
Accuracy: 0.8549563111008485
80-90%
precision recall f1-score support
0 0.10 0.14 0.11 18577
1 0.94 0.92 0.93 296772
accuracy 0.88 315349
macro avg 0.52 0.53 0.52 315349
weighted avg 0.89 0.88 0.88 315349
Accuracy: 0.8754871586718207
90-100%
precision recall f1-score support
0 0.09 0.14 0.11 13620
1 0.95 0.92 0.94 240209
accuracy 0.88 253829
macro avg 0.52 0.53 0.52 253829
weighted avg 0.90 0.88 0.89 253829
Accuracy: 0.879733994145665
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.85 0.37 0.51 22531902
1 0.52 0.92 0.66 16938696
accuracy 0.60 39470598
macro avg 0.69 0.64 0.59 39470598
weighted avg 0.71 0.60 0.58 39470598
Accuracy: 0.6018024859922315
0-1%
precision recall f1-score support
0 1.00 0.97 0.98 1549999
1 0.00 0.00 0.00 0
accuracy 0.97 1549999
macro avg 0.50 0.48 0.49 1549999
weighted avg 1.00 0.97 0.98 1549999
Accuracy: 0.9667077204565938
1-10%
precision recall f1-score support
0 0.97 0.43 0.59 11439888
1 0.15 0.90 0.25 1271288
accuracy 0.47 12711176
macro avg 0.56 0.66 0.42 12711176
weighted avg 0.89 0.47 0.56 12711176
Accuracy: 0.47376198708915684
10-20%
precision recall f1-score support
0 0.76 0.21 0.33 5044441
1 0.47 0.91 0.62 3812372
accuracy 0.51 8856813
macro avg 0.62 0.56 0.47 8856813
weighted avg 0.64 0.51 0.46 8856813
Accuracy: 0.5138466850321893
20-40%
precision recall f1-score support
0 0.54 0.18 0.27 2995598
1 0.68 0.92 0.78 5583215
accuracy 0.66 8578813
macro avg 0.61 0.55 0.52 8578813
weighted avg 0.63 0.66 0.60 8578813
Accuracy: 0.6609011060154826
40-80%
precision recall f1-score support
0 0.35 0.17 0.23 1295061
1 0.81 0.92 0.86 5001564
accuracy 0.76 6296625
macro avg 0.58 0.54 0.55 6296625
weighted avg 0.72 0.76 0.73 6296625
Accuracy: 0.7643829829472137
80-90%
precision recall f1-score support
0 0.26 0.17 0.21 117971
1 0.87 0.92 0.89 692761
accuracy 0.81 810732
macro avg 0.56 0.54 0.55 810732
weighted avg 0.78 0.81 0.79 810732
Accuracy: 0.8080019044517793
90-100%
precision recall f1-score support
0 0.24 0.17 0.20 88944
1 0.88 0.92 0.90 577496
accuracy 0.82 666440
macro avg 0.56 0.54 0.55 666440
weighted avg 0.79 0.82 0.80 666440
Accuracy: 0.8164861052757938
LR_9_decay_vtime_w_0_5
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.73 0.58 0.64 28055468
1 0.57 0.72 0.63 21729815
accuracy 0.64 49785283
macro avg 0.65 0.65 0.64 49785283
weighted avg 0.66 0.64 0.64 49785283
Accuracy: 0.6378637839620195
0-1%
precision recall f1-score support
0 0.77 0.58 0.66 27764588
1 0.51 0.72 0.60 17098553
accuracy 0.63 44863141
macro avg 0.64 0.65 0.63 44863141
weighted avg 0.67 0.63 0.64 44863141
Accuracy: 0.6305081492176395
1-10%
precision recall f1-score support
0 0.07 0.29 0.11 287564
1 0.94 0.73 0.82 4164787
accuracy 0.70 4452351
macro avg 0.50 0.51 0.47 4452351
weighted avg 0.88 0.70 0.78 4452351
Accuracy: 0.7026568660018044
10-20%
precision recall f1-score support
0 0.01 0.29 0.02 2455
1 0.99 0.73 0.84 257616
accuracy 0.72 260071
macro avg 0.50 0.51 0.43 260071
weighted avg 0.98 0.72 0.83 260071
Accuracy: 0.7241599409392051
20-40%
precision recall f1-score support
0 0.01 0.31 0.01 659
1 1.00 0.73 0.84 130568
accuracy 0.73 131227
macro avg 0.50 0.52 0.43 131227
weighted avg 0.99 0.73 0.84 131227
Accuracy: 0.7286153002049883
40-80%
precision recall f1-score support
0 0.00 0.33 0.01 169
1 1.00 0.73 0.84 65234
accuracy 0.73 65403
macro avg 0.50 0.53 0.42 65403
weighted avg 1.00 0.73 0.84 65403
Accuracy: 0.7290949956424018
80-90%
precision recall f1-score support
0 0.00 0.33 0.00 15
1 1.00 0.72 0.84 7371
accuracy 0.72 7386
macro avg 0.50 0.53 0.42 7386
weighted avg 1.00 0.72 0.84 7386
Accuracy: 0.7217709179528838
90-100%
precision recall f1-score support
0 0.00 0.39 0.01 18
1 1.00 0.74 0.85 5686
accuracy 0.74 5704
macro avg 0.50 0.56 0.43 5704
weighted avg 0.99 0.74 0.85 5704
Accuracy: 0.7389551192145862
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.74 0.59 0.66 26119367
1 0.60 0.75 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: 0.6611409888123909
0-1%
precision recall f1-score support
0 0.98 0.79 0.88 12053010
1 0.12 0.69 0.21 508421
accuracy 0.79 12561431
macro avg 0.55 0.74 0.54 12561431
weighted avg 0.95 0.79 0.85 12561431
Accuracy: 0.7887461229536666
1-10%
precision recall f1-score support
0 0.61 0.42 0.50 13368467
1 0.58 0.75 0.65 14466820
accuracy 0.59 27835287
macro avg 0.59 0.58 0.58 27835287
weighted avg 0.59 0.59 0.58 27835287
Accuracy: 0.590996636751042
10-20%
precision recall f1-score support
0 0.16 0.32 0.21 503365
1 0.88 0.75 0.81 3387274
accuracy 0.70 3890639
macro avg 0.52 0.54 0.51 3890639
weighted avg 0.79 0.70 0.73 3890639
Accuracy: 0.6968156130651032
20-40%
precision recall f1-score support
0 0.09 0.32 0.14 147488
1 0.94 0.75 0.83 1970425
accuracy 0.72 2117913
macro avg 0.51 0.53 0.48 2117913
weighted avg 0.88 0.72 0.78 2117913
Accuracy: 0.7180002200279237
40-80%
precision recall f1-score support
0 0.05 0.32 0.08 41616
1 0.97 0.74 0.84 1064279
accuracy 0.73 1105895
macro avg 0.51 0.53 0.46 1105895
weighted avg 0.93 0.73 0.81 1105895
Accuracy: 0.7285131047703444
80-90%
precision recall f1-score support
0 0.03 0.33 0.06 3093
1 0.98 0.74 0.84 120943
accuracy 0.73 124036
macro avg 0.50 0.54 0.45 124036
weighted avg 0.95 0.73 0.82 124036
Accuracy: 0.7316504885678351
90-100%
precision recall f1-score support
0 0.03 0.32 0.05 2328
1 0.98 0.74 0.84 97067
accuracy 0.73 99395
macro avg 0.50 0.53 0.45 99395
weighted avg 0.96 0.73 0.83 99395
Accuracy: 0.7327028522561497
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.75 0.61 0.68 24893266
1 0.62 0.76 0.68 20563095
accuracy 0.68 45456361
macro avg 0.68 0.68 0.68 45456361
weighted avg 0.69 0.68 0.68 45456361
Accuracy: 0.6774471234069969
0-1%
precision recall f1-score support
0 1.00 0.95 0.98 4873589
1 0.01 0.70 0.02 3872
accuracy 0.95 4877461
macro avg 0.51 0.83 0.50 4877461
weighted avg 1.00 0.95 0.98 4877461
Accuracy: 0.9533429380573212
1-10%
precision recall f1-score support
0 0.82 0.56 0.67 16949103
1 0.44 0.75 0.56 8016772
accuracy 0.62 24965875
macro avg 0.63 0.65 0.61 24965875
weighted avg 0.70 0.62 0.63 24965875
Accuracy: 0.619287126928257
10-20%
precision recall f1-score support
0 0.38 0.38 0.38 2057494
1 0.77 0.76 0.76 5461156
accuracy 0.66 7518650
macro avg 0.57 0.57 0.57 7518650
weighted avg 0.66 0.66 0.66 7518650
Accuracy: 0.6589055216029474
20-40%
precision recall f1-score support
0 0.22 0.37 0.27 744974
1 0.87 0.76 0.81 4060539
accuracy 0.70 4805513
macro avg 0.54 0.56 0.54 4805513
weighted avg 0.77 0.70 0.73 4805513
Accuracy: 0.6985753654188429
40-80%
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: 0.7199134164116126
80-90%
precision recall f1-score support
0 0.08 0.37 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: 0.726709138129501
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: 0.7294123208931997
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.78 0.68 0.73 22531902
1 0.64 0.75 0.69 16938696
accuracy 0.71 39470598
macro avg 0.71 0.71 0.71 39470598
weighted avg 0.72 0.71 0.71 39470598
Accuracy: 0.708778291121913
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: 0.9997290320832465
1-10%
precision recall f1-score support
0 0.96 0.77 0.86 11439888
1 0.26 0.72 0.38 1271288
accuracy 0.77 12711176
macro avg 0.61 0.75 0.62 12711176
weighted avg 0.89 0.77 0.81 12711176
Accuracy: 0.7678158968139533
10-20%
precision recall f1-score support
0 0.74 0.54 0.62 5044441
1 0.55 0.75 0.64 3812372
accuracy 0.63 8856813
macro avg 0.65 0.64 0.63 8856813
weighted avg 0.66 0.63 0.63 8856813
Accuracy: 0.6299312179222932
20-40%
precision recall f1-score support
0 0.52 0.48 0.50 2995598
1 0.73 0.76 0.74 5583215
accuracy 0.66 8578813
macro avg 0.63 0.62 0.62 8578813
weighted avg 0.66 0.66 0.66 8578813
Accuracy: 0.6623895403711446
40-80%
precision recall f1-score support
0 0.33 0.47 0.38 1295061
1 0.84 0.75 0.80 5001564
accuracy 0.69 6296625
macro avg 0.59 0.61 0.59 6296625
weighted avg 0.74 0.69 0.71 6296625
Accuracy: 0.6928008258392393
80-90%
precision recall f1-score support
0 0.24 0.46 0.31 117971
1 0.89 0.75 0.81 692761
accuracy 0.70 810732
macro avg 0.56 0.60 0.56 810732
weighted avg 0.80 0.70 0.74 810732
Accuracy: 0.7045336806737615
90-100%
precision recall f1-score support
0 0.22 0.46 0.30 88944
1 0.90 0.74 0.82 577496
accuracy 0.71 666440
macro avg 0.56 0.60 0.56 666440
weighted avg 0.81 0.71 0.75 666440
Accuracy: 0.7071709381189605
LR_9_decay_vtime_w_0_75
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.79 0.38 0.51 28055468
1 0.52 0.87 0.65 21729815
accuracy 0.59 49785283
macro avg 0.65 0.62 0.58 49785283
weighted avg 0.67 0.59 0.57 49785283
Accuracy: 0.5935840718229923
0-1%
precision recall f1-score support
0 0.82 0.38 0.52 27764588
1 0.46 0.87 0.60 17098553
accuracy 0.57 44863141
macro avg 0.64 0.63 0.56 44863141
weighted avg 0.69 0.57 0.55 44863141
Accuracy: 0.567638788376409
1-10%
precision recall f1-score support
0 0.07 0.15 0.10 287564
1 0.94 0.87 0.90 4164787
accuracy 0.83 4452351
macro avg 0.51 0.51 0.50 4452351
weighted avg 0.88 0.83 0.85 4452351
Accuracy: 0.8263461259006758
10-20%
precision recall f1-score support
0 0.01 0.15 0.02 2455
1 0.99 0.87 0.93 257616
accuracy 0.86 260071
macro avg 0.50 0.51 0.47 260071
weighted avg 0.98 0.86 0.92 260071
Accuracy: 0.8630489366365338
20-40%
precision recall f1-score support
0 0.01 0.18 0.01 659
1 1.00 0.87 0.93 130568
accuracy 0.87 131227
macro avg 0.50 0.53 0.47 131227
weighted avg 0.99 0.87 0.92 131227
Accuracy: 0.8678930403042057
40-80%
precision recall f1-score support
0 0.00 0.19 0.01 169
1 1.00 0.87 0.93 65234
accuracy 0.87 65403
macro avg 0.50 0.53 0.47 65403
weighted avg 1.00 0.87 0.93 65403
Accuracy: 0.8676666207972111
80-90%
precision recall f1-score support
0 0.00 0.13 0.00 15
1 1.00 0.87 0.93 7371
accuracy 0.87 7386
macro avg 0.50 0.50 0.47 7386
weighted avg 1.00 0.87 0.93 7386
Accuracy: 0.8696181965881398
90-100%
precision recall f1-score support
0 0.01 0.28 0.01 18
1 1.00 0.88 0.93 5686
accuracy 0.88 5704
macro avg 0.50 0.58 0.47 5704
weighted avg 0.99 0.88 0.93 5704
Accuracy: 0.8753506311360448
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.79 0.43 0.56 26119367
1 0.56 0.86 0.68 21615229
accuracy 0.63 47734596
macro avg 0.67 0.65 0.62 47734596
weighted avg 0.68 0.63 0.61 47734596
Accuracy: 0.626161159926859
0-1%
precision recall f1-score support
0 0.99 0.63 0.77 12053010
1 0.09 0.82 0.16 508421
accuracy 0.64 12561431
macro avg 0.54 0.73 0.46 12561431
weighted avg 0.95 0.64 0.75 12561431
Accuracy: 0.6417771191833159
1-10%
precision recall f1-score support
0 0.64 0.27 0.37 13368467
1 0.56 0.86 0.68 14466820
accuracy 0.57 27835287
macro avg 0.60 0.56 0.53 27835287
weighted avg 0.60 0.57 0.53 27835287
Accuracy: 0.5741645846870557
10-20%
precision recall f1-score support
0 0.18 0.20 0.19 503365
1 0.88 0.86 0.87 3387274
accuracy 0.78 3890639
macro avg 0.53 0.53 0.53 3890639
weighted avg 0.79 0.78 0.78 3890639
Accuracy: 0.7759977217110094
20-40%
precision recall f1-score support
0 0.10 0.20 0.13 147488
1 0.94 0.86 0.89 1970425
accuracy 0.81 2117913
macro avg 0.52 0.53 0.51 2117913
weighted avg 0.88 0.81 0.84 2117913
Accuracy: 0.8124006982345356
40-80%
precision recall f1-score support
0 0.05 0.21 0.09 41616
1 0.97 0.86 0.91 1064279
accuracy 0.83 1105895
macro avg 0.51 0.53 0.50 1105895
weighted avg 0.93 0.83 0.88 1105895
Accuracy: 0.8309532098436109
80-90%
precision recall f1-score support
0 0.04 0.22 0.06 3093
1 0.98 0.85 0.91 120943
accuracy 0.84 124036
macro avg 0.51 0.54 0.49 124036
weighted avg 0.95 0.84 0.89 124036
Accuracy: 0.8368054435808958
90-100%
precision recall f1-score support
0 0.03 0.21 0.06 2328
1 0.98 0.85 0.91 97067
accuracy 0.84 99395
macro avg 0.51 0.53 0.48 99395
weighted avg 0.96 0.84 0.89 99395
Accuracy: 0.8392072035816691
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.79 0.46 0.58 24893266
1 0.57 0.86 0.68 20563095
accuracy 0.64 45456361
macro avg 0.68 0.66 0.63 45456361
weighted avg 0.69 0.64 0.63 45456361
Accuracy: 0.640098995165935
0-1%
precision recall f1-score support
0 1.00 0.87 0.93 4873589
1 0.01 0.82 0.01 3872
accuracy 0.87 4877461
macro avg 0.50 0.84 0.47 4877461
weighted avg 1.00 0.87 0.93 4877461
Accuracy: 0.8715846215889783
1-10%
precision recall f1-score support
0 0.85 0.39 0.53 16949103
1 0.40 0.85 0.54 8016772
accuracy 0.54 24965875
macro avg 0.62 0.62 0.53 24965875
weighted avg 0.70 0.54 0.53 24965875
Accuracy: 0.5350006358679598
10-20%
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: 0.6908875928524403
20-40%
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: 0.760439312098417
40-80%
precision recall f1-score support
0 0.13 0.23 0.17 235909
1 0.92 0.85 0.89 2483775
accuracy 0.80 2719684
macro avg 0.53 0.54 0.53 2719684
weighted avg 0.85 0.80 0.82 2719684
Accuracy: 0.799854689000634
80-90%
precision recall f1-score support
0 0.09 0.24 0.13 18577
1 0.95 0.85 0.90 296772
accuracy 0.81 315349
macro avg 0.52 0.55 0.51 315349
weighted avg 0.90 0.81 0.85 315349
Accuracy: 0.8145134438352428
90-100%
precision recall f1-score support
0 0.08 0.24 0.12 13620
1 0.95 0.85 0.90 240209
accuracy 0.82 253829
macro avg 0.52 0.55 0.51 253829
weighted avg 0.91 0.82 0.86 253829
Accuracy: 0.8180349763029441
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.81 0.54 0.65 22531902
1 0.58 0.84 0.68 16938696
accuracy 0.67 39470598
macro avg 0.70 0.69 0.67 39470598
weighted avg 0.71 0.67 0.66 39470598
Accuracy: 0.6673695696224313
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: 0.9968799979870955
1-10%
precision recall f1-score support
0 0.97 0.63 0.77 11439888
1 0.20 0.81 0.32 1271288
accuracy 0.65 12711176
macro avg 0.58 0.72 0.54 12711176
weighted avg 0.89 0.65 0.72 12711176
Accuracy: 0.6523933741457124
10-20%
precision recall f1-score support
0 0.75 0.38 0.50 5044441
1 0.50 0.83 0.63 3812372
accuracy 0.57 8856813
macro avg 0.63 0.61 0.57 8856813
weighted avg 0.65 0.57 0.56 8856813
Accuracy: 0.5749049912197537
20-40%
precision recall f1-score support
0 0.53 0.33 0.40 2995598
1 0.70 0.84 0.76 5583215
accuracy 0.66 8578813
macro avg 0.61 0.59 0.58 8578813
weighted avg 0.64 0.66 0.64 8578813
Accuracy: 0.6626296668315302
40-80%
precision recall f1-score support
0 0.33 0.31 0.32 1295061
1 0.82 0.84 0.83 5001564
accuracy 0.73 6296625
macro avg 0.58 0.58 0.58 6296625
weighted avg 0.72 0.73 0.73 6296625
Accuracy: 0.7308189704802176
80-90%
precision recall f1-score support
0 0.24 0.31 0.27 117971
1 0.88 0.84 0.86 692761
accuracy 0.76 810732
macro avg 0.56 0.57 0.56 810732
weighted avg 0.78 0.76 0.77 810732
Accuracy: 0.7594507186098489
90-100%
precision recall f1-score support
0 0.22 0.31 0.26 88944
1 0.89 0.84 0.86 577496
accuracy 0.76 666440
macro avg 0.56 0.57 0.56 666440
weighted avg 0.80 0.76 0.78 666440
Accuracy: 0.7649900966328552
LR_decay_rtime
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.96 0.29 0.45 28055468
1 0.52 0.98 0.68 21729815
accuracy 0.59 49785283
macro avg 0.74 0.64 0.56 49785283
weighted avg 0.77 0.59 0.55 49785283
Accuracy: 0.5934621683279374
0-1%
precision recall f1-score support
0 0.96 0.29 0.45 27764588
1 0.46 0.98 0.63 17098553
accuracy 0.56 44863141
macro avg 0.71 0.64 0.54 44863141
weighted avg 0.77 0.56 0.52 44863141
Accuracy: 0.5553687602925529
1-10%
precision recall f1-score support
0 0.10 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.52 0.50 0.48 4452351
weighted avg 0.88 0.94 0.90 4452351
Accuracy: 0.9351508899455591
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.93 0.42 0.57 26119367
1 0.58 0.96 0.72 21615229
accuracy 0.66 47734596
macro avg 0.75 0.69 0.65 47734596
weighted avg 0.77 0.66 0.64 47734596
Accuracy: 0.6623225427528495
0-1%
precision recall f1-score support
0 0.99 0.74 0.85 12053010
1 0.11 0.76 0.19 508421
accuracy 0.74 12561431
macro avg 0.55 0.75 0.52 12561431
weighted avg 0.95 0.74 0.82 12561431
Accuracy: 0.7413108426898177
1-10%
precision recall f1-score support
0 0.73 0.15 0.24 13368467
1 0.55 0.95 0.69 14466820
accuracy 0.56 27835287
macro avg 0.64 0.55 0.47 27835287
weighted avg 0.64 0.56 0.48 27835287
Accuracy: 0.5639647617069657
10-20%
precision recall f1-score support
0 0.18 0.01 0.03 503365
1 0.87 0.99 0.93 3387274
accuracy 0.86 3890639
macro avg 0.53 0.50 0.48 3890639
weighted avg 0.78 0.86 0.81 3890639
Accuracy: 0.8644286966742482
20-40%
precision recall f1-score support
0 0.10 0.01 0.01 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.52 0.50 0.49 2117913
weighted avg 0.87 0.93 0.90 2117913
Accuracy: 0.9266981221608253
40-80%
precision recall f1-score support
0 0.05 0.00 0.01 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.51 0.50 0.49 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9603958784513901
80-90%
precision recall f1-score support
0 0.04 0.00 0.01 3093
1 0.98 1.00 0.99 120943
accuracy 0.97 124036
macro avg 0.51 0.50 0.50 124036
weighted avg 0.95 0.97 0.96 124036
Accuracy: 0.9735318778419169
90-100%
precision recall f1-score support
0 0.02 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.98 99395
macro avg 0.50 0.50 0.49 99395
weighted avg 0.95 0.98 0.96 99395
Accuracy: 0.9754716031993561
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.88 0.38 0.53 24893266
1 0.56 0.94 0.70 20563095
accuracy 0.63 45456361
macro avg 0.72 0.66 0.61 45456361
weighted avg 0.73 0.63 0.61 45456361
Accuracy: 0.6317128641247811
0-1%
precision recall f1-score support
0 1.00 0.90 0.95 4873589
1 0.01 0.79 0.01 3872
accuracy 0.90 4877461
macro avg 0.50 0.85 0.48 4877461
weighted avg 1.00 0.90 0.95 4877461
Accuracy: 0.9036908752320111
1-10%
precision recall f1-score support
0 0.88 0.28 0.43 16949103
1 0.38 0.92 0.53 8016772
accuracy 0.49 24965875
macro avg 0.63 0.60 0.48 24965875
weighted avg 0.72 0.49 0.46 24965875
Accuracy: 0.48618227881057646
10-20%
precision recall f1-score support
0 0.41 0.10 0.17 2057494
1 0.74 0.94 0.83 5461156
accuracy 0.71 7518650
macro avg 0.57 0.52 0.50 7518650
weighted avg 0.65 0.71 0.65 7518650
Accuracy: 0.7135812945143077
20-40%
precision recall f1-score support
0 0.25 0.09 0.14 744974
1 0.85 0.95 0.90 4060539
accuracy 0.81 4805513
macro avg 0.55 0.52 0.52 4805513
weighted avg 0.76 0.81 0.78 4805513
Accuracy: 0.8147342437737657
40-80%
precision recall f1-score support
0 0.15 0.10 0.12 235909
1 0.92 0.95 0.93 2483775
accuracy 0.87 2719684
macro avg 0.53 0.52 0.52 2719684
weighted avg 0.85 0.87 0.86 2719684
Accuracy: 0.8740386750813698
80-90%
precision recall f1-score support
0 0.11 0.10 0.10 18577
1 0.94 0.95 0.95 296772
accuracy 0.90 315349
macro avg 0.52 0.52 0.52 315349
weighted avg 0.89 0.90 0.90 315349
Accuracy: 0.8979353034257284
90-100%
precision recall f1-score support
0 0.10 0.10 0.10 13620
1 0.95 0.95 0.95 240209
accuracy 0.90 253829
macro avg 0.52 0.52 0.52 253829
weighted avg 0.90 0.90 0.90 253829
Accuracy: 0.9022964279101284
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.89 0.28 0.42 22531902
1 0.50 0.95 0.65 16938696
accuracy 0.57 39470598
macro avg 0.69 0.62 0.54 39470598
weighted avg 0.72 0.57 0.52 39470598
Accuracy: 0.5673319669491707
0-1%
precision recall f1-score support
0 1.00 0.96 0.98 1549999
1 0.00 0.00 0.00 0
accuracy 0.96 1549999
macro avg 0.50 0.48 0.49 1549999
weighted avg 1.00 0.96 0.98 1549999
Accuracy: 0.9625902984453538
1-10%
precision recall f1-score support
0 0.98 0.32 0.48 11439888
1 0.13 0.94 0.23 1271288
accuracy 0.38 12711176
macro avg 0.56 0.63 0.36 12711176
weighted avg 0.89 0.38 0.46 12711176
Accuracy: 0.38131381392248836
10-20%
precision recall f1-score support
0 0.77 0.13 0.22 5044441
1 0.45 0.95 0.61 3812372
accuracy 0.48 8856813
macro avg 0.61 0.54 0.41 8856813
weighted avg 0.63 0.48 0.39 8856813
Accuracy: 0.481217792449722
20-40%
precision recall f1-score support
0 0.56 0.10 0.17 2995598
1 0.67 0.96 0.78 5583215
accuracy 0.66 8578813
macro avg 0.61 0.53 0.48 8578813
weighted avg 0.63 0.66 0.57 8578813
Accuracy: 0.6583209122287664
40-80%
precision recall f1-score support
0 0.37 0.10 0.16 1295061
1 0.80 0.96 0.87 5001564
accuracy 0.78 6296625
macro avg 0.59 0.53 0.51 6296625
weighted avg 0.71 0.78 0.73 6296625
Accuracy: 0.7797791674111131
80-90%
precision recall f1-score support
0 0.28 0.10 0.15 117971
1 0.86 0.96 0.91 692761
accuracy 0.83 810732
macro avg 0.57 0.53 0.53 810732
weighted avg 0.78 0.83 0.80 810732
Accuracy: 0.8312216614121559
90-100%
precision recall f1-score support
0 0.25 0.10 0.14 88944
1 0.87 0.96 0.91 577496
accuracy 0.84 666440
macro avg 0.56 0.53 0.53 666440
weighted avg 0.79 0.84 0.81 666440
Accuracy: 0.840927915491267
LR_decay_rtime_w_0_5
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.73 0.61 0.66 28055468
1 0.58 0.70 0.64 21729815
accuracy 0.65 49785283
macro avg 0.65 0.66 0.65 49785283
weighted avg 0.66 0.65 0.65 49785283
Accuracy: 0.6490585581285137
0-1%
precision recall f1-score support
0 0.75 0.61 0.67 27764588
1 0.51 0.66 0.58 17098553
accuracy 0.63 44863141
macro avg 0.63 0.64 0.62 44863141
weighted avg 0.66 0.63 0.64 44863141
Accuracy: 0.6299471764582868
1-10%
precision recall f1-score support
0 0.08 0.20 0.12 287564
1 0.94 0.85 0.89 4164787
accuracy 0.81 4452351
macro avg 0.51 0.52 0.50 4452351
weighted avg 0.88 0.81 0.84 4452351
Accuracy: 0.8060067591256844
10-20%
precision recall f1-score support
0 0.01 0.01 0.01 2455
1 0.99 0.99 0.99 257616
accuracy 0.98 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.98 0.98 260071
Accuracy: 0.9816357840743489
20-40%
precision recall f1-score support
0 0.01 0.00 0.01 659
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: 0.9912975226134866
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: 0.995489503539593
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: 0.9964798266991606
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 0.99 5704
Accuracy: 0.9961430575035063
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.80 0.61 0.69 26119367
1 0.63 0.81 0.71 21615229
accuracy 0.70 47734596
macro avg 0.72 0.71 0.70 47734596
weighted avg 0.72 0.70 0.70 47734596
Accuracy: 0.7027313690892032
0-1%
precision recall f1-score support
0 0.98 0.88 0.93 12053010
1 0.16 0.57 0.25 508421
accuracy 0.86 12561431
macro avg 0.57 0.72 0.59 12561431
weighted avg 0.95 0.86 0.90 12561431
Accuracy: 0.8637601082233386
1-10%
precision recall f1-score support
0 0.64 0.40 0.49 13368467
1 0.59 0.80 0.68 14466820
accuracy 0.60 27835287
macro avg 0.61 0.60 0.58 27835287
weighted avg 0.61 0.60 0.59 27835287
Accuracy: 0.6031365151722704
10-20%
precision recall f1-score support
0 0.17 0.19 0.18 503365
1 0.88 0.86 0.87 3387274
accuracy 0.78 3890639
macro avg 0.53 0.53 0.53 3890639
weighted avg 0.79 0.78 0.78 3890639
Accuracy: 0.7774925918338864
20-40%
precision recall f1-score support
0 0.10 0.18 0.13 147488
1 0.93 0.87 0.90 1970425
accuracy 0.83 2117913
macro avg 0.52 0.53 0.51 2117913
weighted avg 0.88 0.83 0.85 2117913
Accuracy: 0.8251254891017714
40-80%
precision recall f1-score support
0 0.05 0.18 0.08 41616
1 0.96 0.88 0.92 1064279
accuracy 0.85 1105895
macro avg 0.51 0.53 0.50 1105895
weighted avg 0.93 0.85 0.89 1105895
Accuracy: 0.8510762775851234
80-90%
precision recall f1-score support
0 0.04 0.19 0.06 3093
1 0.98 0.88 0.92 120943
accuracy 0.86 124036
macro avg 0.51 0.53 0.49 124036
weighted avg 0.95 0.86 0.90 124036
Accuracy: 0.8597826437485891
90-100%
precision recall f1-score support
0 0.04 0.19 0.06 2328
1 0.98 0.88 0.93 97067
accuracy 0.86 99395
macro avg 0.51 0.53 0.49 99395
weighted avg 0.96 0.86 0.91 99395
Accuracy: 0.8624679309824438
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.79 0.57 0.66 24893266
1 0.61 0.82 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: 0.681543073806546
0-1%
precision recall f1-score support
0 1.00 0.97 0.98 4873589
1 0.02 0.66 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: 0.9674047624368498
1-10%
precision recall f1-score support
0 0.84 0.50 0.63 16949103
1 0.43 0.80 0.56 8016772
accuracy 0.60 24965875
macro avg 0.64 0.65 0.60 24965875
weighted avg 0.71 0.60 0.61 24965875
Accuracy: 0.5991894135494951
10-20%
precision recall f1-score support
0 0.39 0.29 0.33 2057494
1 0.76 0.83 0.79 5461156
accuracy 0.68 7518650
macro avg 0.57 0.56 0.56 7518650
weighted avg 0.66 0.68 0.67 7518650
Accuracy: 0.6828050248382356
20-40%
precision recall f1-score support
0 0.23 0.27 0.25 744974
1 0.86 0.83 0.85 4060539
accuracy 0.75 4805513
macro avg 0.55 0.55 0.55 4805513
weighted avg 0.76 0.75 0.75 4805513
Accuracy: 0.7461507231381956
40-80%
precision recall f1-score support
0 0.13 0.27 0.18 235909
1 0.92 0.83 0.87 2483775
accuracy 0.78 2719684
macro avg 0.53 0.55 0.53 2719684
weighted avg 0.85 0.78 0.81 2719684
Accuracy: 0.7828302846948395
80-90%
precision recall f1-score support
0 0.09 0.27 0.14 18577
1 0.95 0.83 0.88 296772
accuracy 0.80 315349
macro avg 0.52 0.55 0.51 315349
weighted avg 0.90 0.80 0.84 315349
Accuracy: 0.796406521029082
90-100%
precision recall f1-score support
0 0.08 0.27 0.13 13620
1 0.95 0.83 0.89 240209
accuracy 0.80 253829
macro avg 0.52 0.55 0.51 253829
weighted avg 0.91 0.80 0.85 253829
Accuracy: 0.8001252811932442
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.84 0.45 0.59 22531902
1 0.55 0.89 0.68 16938696
accuracy 0.64 39470598
macro avg 0.69 0.67 0.63 39470598
weighted avg 0.72 0.64 0.63 39470598
Accuracy: 0.6385302548494451
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: 0.9950470935787701
1-10%
precision recall f1-score support
0 0.97 0.54 0.70 11439888
1 0.17 0.86 0.29 1271288
accuracy 0.57 12711176
macro avg 0.57 0.70 0.49 12711176
weighted avg 0.89 0.57 0.66 12711176
Accuracy: 0.5738562663281509
10-20%
precision recall f1-score support
0 0.76 0.28 0.41 5044441
1 0.48 0.88 0.62 3812372
accuracy 0.54 8856813
macro avg 0.62 0.58 0.52 8856813
weighted avg 0.64 0.54 0.50 8856813
Accuracy: 0.5395612394661601
20-40%
precision recall f1-score support
0 0.54 0.24 0.33 2995598
1 0.68 0.89 0.77 5583215
accuracy 0.66 8578813
macro avg 0.61 0.56 0.55 8578813
weighted avg 0.63 0.66 0.62 8578813
Accuracy: 0.6619618588259238
40-80%
precision recall f1-score support
0 0.34 0.22 0.27 1295061
1 0.82 0.89 0.85 5001564
accuracy 0.75 6296625
macro avg 0.58 0.56 0.56 6296625
weighted avg 0.72 0.75 0.73 6296625
Accuracy: 0.7521746967621543
80-90%
precision recall f1-score support
0 0.25 0.22 0.24 117971
1 0.87 0.89 0.88 692761
accuracy 0.79 810732
macro avg 0.56 0.55 0.56 810732
weighted avg 0.78 0.79 0.78 810732
Accuracy: 0.7904227290892675
90-100%
precision recall f1-score support
0 0.23 0.22 0.23 88944
1 0.88 0.89 0.88 577496
accuracy 0.80 666440
macro avg 0.56 0.55 0.56 666440
weighted avg 0.79 0.80 0.80 666440
Accuracy: 0.7980283296320749
LR_decay_rtime_w_0_75
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.86 0.42 0.57 28055468
1 0.55 0.91 0.69 21729815
accuracy 0.64 49785283
macro avg 0.71 0.67 0.63 49785283
weighted avg 0.73 0.64 0.62 49785283
Accuracy: 0.637671940119332
0-1%
precision recall f1-score support
0 0.87 0.43 0.57 27764588
1 0.49 0.89 0.63 17098553
accuracy 0.61 44863141
macro avg 0.68 0.66 0.60 44863141
weighted avg 0.72 0.61 0.60 44863141
Accuracy: 0.6054168833163064
1-10%
precision recall f1-score support
0 0.09 0.02 0.03 287564
1 0.94 0.99 0.96 4164787
accuracy 0.93 4452351
macro avg 0.51 0.50 0.50 4452351
weighted avg 0.88 0.93 0.90 4452351
Accuracy: 0.925197945984043
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905410445609084
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949705472197032
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.88 0.50 0.64 26119367
1 0.61 0.92 0.73 21615229
accuracy 0.69 47734596
macro avg 0.74 0.71 0.69 47734596
weighted avg 0.76 0.69 0.68 47734596
Accuracy: 0.6921751888295022
0-1%
precision recall f1-score support
0 0.98 0.82 0.89 12053010
1 0.13 0.67 0.22 508421
accuracy 0.81 12561431
macro avg 0.56 0.74 0.56 12561431
weighted avg 0.95 0.81 0.86 12561431
Accuracy: 0.809702652508301
1-10%
precision recall f1-score support
0 0.70 0.25 0.36 13368467
1 0.56 0.90 0.69 14466820
accuracy 0.59 27835287
macro avg 0.63 0.57 0.53 27835287
weighted avg 0.63 0.59 0.54 27835287
Accuracy: 0.5865506613960905
10-20%
precision recall f1-score support
0 0.18 0.04 0.06 503365
1 0.87 0.97 0.92 3387274
accuracy 0.85 3890639
macro avg 0.52 0.51 0.49 3890639
weighted avg 0.78 0.85 0.81 3890639
Accuracy: 0.8534222784483474
20-40%
precision recall f1-score support
0 0.09 0.02 0.03 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: 0.9195750722527318
40-80%
precision recall f1-score support
0 0.05 0.01 0.02 41616
1 0.96 0.99 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: 0.9564443278973139
80-90%
precision recall f1-score support
0 0.05 0.01 0.02 3093
1 0.98 1.00 0.99 120943
accuracy 0.97 124036
macro avg 0.51 0.50 0.50 124036
weighted avg 0.95 0.97 0.96 124036
Accuracy: 0.9711777225966655
90-100%
precision recall f1-score support
0 0.05 0.01 0.01 2328
1 0.98 1.00 0.99 97067
accuracy 0.97 99395
macro avg 0.51 0.50 0.50 99395
weighted avg 0.95 0.97 0.96 99395
Accuracy: 0.9733588208662407
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.83 0.47 0.60 24893266
1 0.58 0.88 0.70 20563095
accuracy 0.66 45456361
macro avg 0.71 0.68 0.65 45456361
weighted avg 0.72 0.66 0.65 45456361
Accuracy: 0.6589380526962992
0-1%
precision recall f1-score support
0 1.00 0.94 0.97 4873589
1 0.01 0.73 0.02 3872
accuracy 0.94 4877461
macro avg 0.50 0.83 0.49 4877461
weighted avg 1.00 0.94 0.97 4877461
Accuracy: 0.9415833360840814
1-10%
precision recall f1-score support
0 0.86 0.39 0.54 16949103
1 0.40 0.87 0.55 8016772
accuracy 0.54 24965875
macro avg 0.63 0.63 0.54 24965875
weighted avg 0.71 0.54 0.54 24965875
Accuracy: 0.5440402148933294
10-20%
precision recall f1-score support
0 0.40 0.19 0.25 2057494
1 0.74 0.89 0.81 5461156
accuracy 0.70 7518650
macro avg 0.57 0.54 0.53 7518650
weighted avg 0.65 0.70 0.66 7518650
Accuracy: 0.6999272475776901
20-40%
precision recall f1-score support
0 0.23 0.17 0.20 744974
1 0.86 0.90 0.87 4060539
accuracy 0.78 4805513
macro avg 0.54 0.53 0.54 4805513
weighted avg 0.76 0.78 0.77 4805513
Accuracy: 0.7835698290692378
40-80%
precision recall f1-score support
0 0.14 0.17 0.15 235909
1 0.92 0.90 0.91 2483775
accuracy 0.83 2719684
macro avg 0.53 0.53 0.53 2719684
weighted avg 0.85 0.83 0.84 2719684
Accuracy: 0.8325397362340625
80-90%
precision recall f1-score support
0 0.09 0.18 0.12 18577
1 0.95 0.89 0.92 296772
accuracy 0.85 315349
macro avg 0.52 0.54 0.52 315349
weighted avg 0.90 0.85 0.87 315349
Accuracy: 0.8514661533729296
90-100%
precision recall f1-score support
0 0.09 0.18 0.12 13620
1 0.95 0.89 0.92 240209
accuracy 0.86 253829
macro avg 0.52 0.54 0.52 253829
weighted avg 0.90 0.86 0.88 253829
Accuracy: 0.8558241966048009
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.86 0.36 0.51 22531902
1 0.52 0.92 0.67 16938696
accuracy 0.60 39470598
macro avg 0.69 0.64 0.59 39470598
weighted avg 0.72 0.60 0.58 39470598
Accuracy: 0.6025999910110306
0-1%
precision recall f1-score support
0 1.00 0.98 0.99 1549999
1 0.00 0.00 0.00 0
accuracy 0.98 1549999
macro avg 0.50 0.49 0.50 1549999
weighted avg 1.00 0.98 0.99 1549999
Accuracy: 0.9845186996894837
1-10%
precision recall f1-score support
0 0.98 0.43 0.59 11439888
1 0.15 0.91 0.26 1271288
accuracy 0.48 12711176
macro avg 0.56 0.67 0.43 12711176
weighted avg 0.89 0.48 0.56 12711176
Accuracy: 0.47569980936460954
10-20%
precision recall f1-score support
0 0.77 0.20 0.31 5044441
1 0.46 0.92 0.62 3812372
accuracy 0.51 8856813
macro avg 0.61 0.56 0.46 8856813
weighted avg 0.64 0.51 0.44 8856813
Accuracy: 0.5078191218443926
20-40%
precision recall f1-score support
0 0.55 0.16 0.25 2995598
1 0.67 0.93 0.78 5583215
accuracy 0.66 8578813
macro avg 0.61 0.55 0.52 8578813
weighted avg 0.63 0.66 0.60 8578813
Accuracy: 0.6606852253336213
40-80%
precision recall f1-score support
0 0.35 0.15 0.21 1295061
1 0.81 0.93 0.86 5001564
accuracy 0.77 6296625
macro avg 0.58 0.54 0.54 6296625
weighted avg 0.72 0.77 0.73 6296625
Accuracy: 0.7683671808310008
80-90%
precision recall f1-score support
0 0.26 0.15 0.19 117971
1 0.87 0.93 0.89 692761
accuracy 0.81 810732
macro avg 0.56 0.54 0.54 810732
weighted avg 0.78 0.81 0.79 810732
Accuracy: 0.814206174173463
90-100%
precision recall f1-score support
0 0.24 0.15 0.19 88944
1 0.88 0.93 0.90 577496
accuracy 0.82 666440
macro avg 0.56 0.54 0.54 666440
weighted avg 0.79 0.82 0.81 666440
Accuracy: 0.8230268291219014
LR_decay_vtime
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.86 0.20 0.32 28055468
1 0.48 0.96 0.64 21729815
accuracy 0.53 49785283
macro avg 0.67 0.58 0.48 49785283
weighted avg 0.70 0.53 0.46 49785283
Accuracy: 0.529126027063058
0-1%
precision recall f1-score support
0 0.89 0.20 0.32 27764588
1 0.42 0.96 0.59 17098553
accuracy 0.49 44863141
macro avg 0.66 0.58 0.46 44863141
weighted avg 0.71 0.49 0.42 44863141
Accuracy: 0.48753207003495364
1-10%
precision recall f1-score support
0 0.08 0.05 0.06 287564
1 0.94 0.96 0.95 4164787
accuracy 0.90 4452351
macro avg 0.51 0.50 0.50 4452351
weighted avg 0.88 0.90 0.89 4452351
Accuracy: 0.9032551566576849
10-20%
precision recall f1-score support
0 0.02 0.07 0.03 2455
1 0.99 0.96 0.98 257616
accuracy 0.95 260071
macro avg 0.50 0.51 0.50 260071
weighted avg 0.98 0.95 0.97 260071
Accuracy: 0.953128184226615
20-40%
precision recall f1-score support
0 0.01 0.08 0.02 659
1 1.00 0.96 0.98 130568
accuracy 0.96 131227
macro avg 0.50 0.52 0.50 131227
weighted avg 0.99 0.96 0.97 131227
Accuracy: 0.9576687724325025
40-80%
precision recall f1-score support
0 0.01 0.14 0.02 169
1 1.00 0.96 0.98 65234
accuracy 0.96 65403
macro avg 0.50 0.55 0.50 65403
weighted avg 1.00 0.96 0.98 65403
Accuracy: 0.9591456049416693
80-90%
precision recall f1-score support
0 0.01 0.13 0.01 15
1 1.00 0.96 0.98 7371
accuracy 0.96 7386
macro avg 0.50 0.55 0.50 7386
weighted avg 1.00 0.96 0.98 7386
Accuracy: 0.9611427024099648
90-100%
precision recall f1-score support
0 0.02 0.22 0.03 18
1 1.00 0.96 0.98 5686
accuracy 0.96 5704
macro avg 0.51 0.59 0.51 5704
weighted avg 0.99 0.96 0.98 5704
Accuracy: 0.960203366058906
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.92 0.04 0.07 26119367
1 0.46 1.00 0.63 21615229
accuracy 0.47 47734596
macro avg 0.69 0.52 0.35 47734596
weighted avg 0.71 0.47 0.32 47734596
Accuracy: 0.4712758436250304
0-1%
precision recall f1-score support
0 1.00 0.07 0.13 12053010
1 0.04 1.00 0.08 508421
accuracy 0.11 12561431
macro avg 0.52 0.53 0.11 12561431
weighted avg 0.96 0.11 0.13 12561431
Accuracy: 0.10621369492058667
1-10%
precision recall f1-score support
0 0.69 0.01 0.02 13368467
1 0.52 1.00 0.68 14466820
accuracy 0.52 27835287
macro avg 0.61 0.50 0.35 27835287
weighted avg 0.60 0.52 0.37 27835287
Accuracy: 0.5224117143106878
10-20%
precision recall f1-score support
0 0.27 0.01 0.02 503365
1 0.87 1.00 0.93 3387274
accuracy 0.87 3890639
macro avg 0.57 0.50 0.47 3890639
weighted avg 0.79 0.87 0.81 3890639
Accuracy: 0.8683434777680479
20-40%
precision recall f1-score support
0 0.20 0.01 0.03 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.56 0.50 0.49 2117913
weighted avg 0.88 0.93 0.90 2117913
Accuracy: 0.9274205314382602
40-80%
precision recall f1-score support
0 0.16 0.02 0.04 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.56 0.51 0.51 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9590566916388988
80-90%
precision recall f1-score support
0 0.16 0.03 0.05 3093
1 0.98 1.00 0.99 120943
accuracy 0.97 124036
macro avg 0.57 0.51 0.52 124036
weighted avg 0.96 0.97 0.96 124036
Accuracy: 0.9715808313715373
90-100%
precision recall f1-score support
0 0.16 0.03 0.05 2328
1 0.98 1.00 0.99 97067
accuracy 0.97 99395
macro avg 0.57 0.51 0.52 99395
weighted avg 0.96 0.97 0.96 99395
Accuracy: 0.9734091252075054
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.94 0.02 0.04 24893266
1 0.46 1.00 0.63 20563095
accuracy 0.46 45456361
macro avg 0.70 0.51 0.33 45456361
weighted avg 0.72 0.46 0.31 45456361
Accuracy: 0.4634114024217645
0-1%
precision recall f1-score support
0 1.00 0.08 0.15 4873589
1 0.00 1.00 0.00 3872
accuracy 0.08 4877461
macro avg 0.50 0.54 0.07 4877461
weighted avg 1.00 0.08 0.14 4877461
Accuracy: 0.07890129721180754
1-10%
precision recall f1-score support
0 0.90 0.01 0.02 16949103
1 0.32 1.00 0.49 8016772
accuracy 0.33 24965875
macro avg 0.61 0.50 0.25 24965875
weighted avg 0.72 0.33 0.17 24965875
Accuracy: 0.32577632468319256
10-20%
precision recall f1-score support
0 0.59 0.01 0.01 2057494
1 0.73 1.00 0.84 5461156
accuracy 0.73 7518650
macro avg 0.66 0.50 0.43 7518650
weighted avg 0.69 0.73 0.61 7518650
Accuracy: 0.7268287525021114
20-40%
precision recall f1-score support
0 0.52 0.01 0.02 744974
1 0.85 1.00 0.92 4060539
accuracy 0.85 4805513
macro avg 0.68 0.50 0.47 4805513
weighted avg 0.80 0.85 0.78 4805513
Accuracy: 0.8450872986921479
40-80%
precision recall f1-score support
0 0.52 0.01 0.03 235909
1 0.91 1.00 0.95 2483775
accuracy 0.91 2719684
macro avg 0.72 0.51 0.49 2719684
weighted avg 0.88 0.91 0.87 2719684
Accuracy: 0.9133406675187264
80-90%
precision recall f1-score support
0 0.52 0.02 0.04 18577
1 0.94 1.00 0.97 296772
accuracy 0.94 315349
macro avg 0.73 0.51 0.50 315349
weighted avg 0.92 0.94 0.91 315349
Accuracy: 0.9411953105923913
90-100%
precision recall f1-score support
0 0.50 0.02 0.04 13620
1 0.95 1.00 0.97 240209
accuracy 0.95 253829
macro avg 0.73 0.51 0.51 253829
weighted avg 0.92 0.95 0.92 253829
Accuracy: 0.9463654665148584
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.97 0.01 0.02 22531902
1 0.43 1.00 0.60 16938696
accuracy 0.43 39470598
macro avg 0.70 0.50 0.31 39470598
weighted avg 0.74 0.43 0.27 39470598
Accuracy: 0.43401949471350804
0-1%
precision recall f1-score support
0 1.00 0.08 0.15 1549999
1 0.00 0.00 0.00 0
accuracy 0.08 1549999
macro avg 0.50 0.04 0.07 1549999
weighted avg 1.00 0.08 0.15 1549999
Accuracy: 0.07853359905393488
1-10%
precision recall f1-score support
0 0.98 0.00 0.01 11439888
1 0.10 1.00 0.18 1271288
accuracy 0.10 12711176
macro avg 0.54 0.50 0.10 12711176
weighted avg 0.89 0.10 0.03 12711176
Accuracy: 0.10443384624679888
10-20%
precision recall f1-score support
0 0.82 0.00 0.00 5044441
1 0.43 1.00 0.60 3812372
accuracy 0.43 8856813
macro avg 0.62 0.50 0.30 8856813
weighted avg 0.65 0.43 0.26 8856813
Accuracy: 0.4313116919144618
20-40%
precision recall f1-score support
0 0.72 0.00 0.00 2995598
1 0.65 1.00 0.79 5583215
accuracy 0.65 8578813
macro avg 0.69 0.50 0.40 8578813
weighted avg 0.68 0.65 0.51 8578813
Accuracy: 0.6512376479123627
40-80%
precision recall f1-score support
0 0.74 0.00 0.01 1295061
1 0.79 1.00 0.89 5001564
accuracy 0.79 6296625
macro avg 0.77 0.50 0.45 6296625
weighted avg 0.78 0.79 0.70 6296625
Accuracy: 0.79471367597721
80-90%
precision recall f1-score support
0 0.81 0.00 0.01 117971
1 0.85 1.00 0.92 692761
accuracy 0.85 810732
macro avg 0.83 0.50 0.46 810732
weighted avg 0.85 0.85 0.79 810732
Accuracy: 0.8549459007415521
90-100%
precision recall f1-score support
0 0.78 0.00 0.01 88944
1 0.87 1.00 0.93 577496
accuracy 0.87 666440
macro avg 0.82 0.50 0.47 666440
weighted avg 0.86 0.87 0.81 666440
Accuracy: 0.8669437608786987
LR_decay_vtime_w_0_5
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.80 0.37 0.51 28055468
1 0.52 0.88 0.65 21729815
accuracy 0.59 49785283
macro avg 0.66 0.63 0.58 49785283
weighted avg 0.68 0.59 0.57 49785283
Accuracy: 0.5931255427432239
0-1%
precision recall f1-score support
0 0.83 0.38 0.52 27764588
1 0.46 0.88 0.61 17098553
accuracy 0.57 44863141
macro avg 0.65 0.63 0.56 44863141
weighted avg 0.69 0.57 0.55 44863141
Accuracy: 0.5662408479156642
1-10%
precision recall f1-score support
0 0.08 0.14 0.10 287564
1 0.94 0.88 0.91 4164787
accuracy 0.83 4452351
macro avg 0.51 0.51 0.50 4452351
weighted avg 0.88 0.83 0.86 4452351
Accuracy: 0.8343477412270506
10-20%
precision recall f1-score support
0 0.01 0.15 0.02 2455
1 0.99 0.88 0.93 257616
accuracy 0.87 260071
macro avg 0.50 0.51 0.48 260071
weighted avg 0.98 0.87 0.92 260071
Accuracy: 0.8720080285768117
20-40%
precision recall f1-score support
0 0.01 0.18 0.01 659
1 1.00 0.88 0.93 130568
accuracy 0.88 131227
macro avg 0.50 0.53 0.47 131227
weighted avg 0.99 0.88 0.93 131227
Accuracy: 0.8770832222027479
40-80%
precision recall f1-score support
0 0.00 0.18 0.01 169
1 1.00 0.88 0.93 65234
accuracy 0.88 65403
macro avg 0.50 0.53 0.47 65403
weighted avg 1.00 0.88 0.93 65403
Accuracy: 0.8770851489992814
80-90%
precision recall f1-score support
0 0.00 0.13 0.00 15
1 1.00 0.88 0.93 7371
accuracy 0.88 7386
macro avg 0.50 0.51 0.47 7386
weighted avg 1.00 0.88 0.93 7386
Accuracy: 0.8773354995938262
90-100%
precision recall f1-score support
0 0.01 0.28 0.01 18
1 1.00 0.89 0.94 5686
accuracy 0.88 5704
macro avg 0.50 0.58 0.48 5704
weighted avg 0.99 0.88 0.94 5704
Accuracy: 0.8846423562412342
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.88 0.10 0.17 26119367
1 0.47 0.98 0.64 21615229
accuracy 0.50 47734596
macro avg 0.68 0.54 0.41 47734596
weighted avg 0.70 0.50 0.39 47734596
Accuracy: 0.49883801258106386
0-1%
precision recall f1-score support
0 1.00 0.17 0.29 12053010
1 0.05 0.98 0.09 508421
accuracy 0.20 12561431
macro avg 0.52 0.58 0.19 12561431
weighted avg 0.96 0.20 0.28 12561431
Accuracy: 0.20413693312489636
1-10%
precision recall f1-score support
0 0.67 0.03 0.06 13368467
1 0.52 0.98 0.68 14466820
accuracy 0.53 27835287
macro avg 0.60 0.51 0.37 27835287
weighted avg 0.59 0.53 0.39 27835287
Accuracy: 0.5278179815426368
10-20%
precision recall f1-score support
0 0.21 0.03 0.05 503365
1 0.87 0.98 0.92 3387274
accuracy 0.86 3890639
macro avg 0.54 0.51 0.49 3890639
weighted avg 0.79 0.86 0.81 3890639
Accuracy: 0.8606195537545375
20-40%
precision recall f1-score support
0 0.13 0.03 0.05 147488
1 0.93 0.98 0.96 1970425
accuracy 0.92 2117913
macro avg 0.53 0.51 0.50 2117913
weighted avg 0.88 0.92 0.89 2117913
Accuracy: 0.9179050319819558
40-80%
precision recall f1-score support
0 0.08 0.04 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: 0.948125274099259
80-90%
precision recall f1-score support
0 0.07 0.05 0.06 3093
1 0.98 0.98 0.98 120943
accuracy 0.96 124036
macro avg 0.52 0.52 0.52 124036
weighted avg 0.95 0.96 0.96 124036
Accuracy: 0.9597697442677933
90-100%
precision recall f1-score support
0 0.07 0.05 0.05 2328
1 0.98 0.98 0.98 97067
accuracy 0.96 99395
macro avg 0.52 0.52 0.52 99395
weighted avg 0.96 0.96 0.96 99395
Accuracy: 0.9622013179737411
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
LR_decay_vtime_w_0_75
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.83 0.27 0.41 28055468
1 0.50 0.93 0.65 21729815
accuracy 0.56 49785283
macro avg 0.66 0.60 0.53 49785283
weighted avg 0.69 0.56 0.51 49785283
Accuracy: 0.5581005535310505
0-1%
precision recall f1-score support
0 0.86 0.27 0.41 27764588
1 0.44 0.93 0.60 17098553
accuracy 0.52 44863141
macro avg 0.65 0.60 0.51 44863141
weighted avg 0.70 0.52 0.48 44863141
Accuracy: 0.5225326733141579
1-10%
precision recall f1-score support
0 0.08 0.08 0.08 287564
1 0.94 0.93 0.93 4164787
accuracy 0.88 4452351
macro avg 0.51 0.51 0.51 4452351
weighted avg 0.88 0.88 0.88 4452351
Accuracy: 0.8777171880653615
10-20%
precision recall f1-score support
0 0.01 0.09 0.02 2455
1 0.99 0.93 0.96 257616
accuracy 0.92 260071
macro avg 0.50 0.51 0.49 260071
weighted avg 0.98 0.92 0.95 260071
Accuracy: 0.9233863060471948
20-40%
precision recall f1-score support
0 0.01 0.11 0.02 659
1 1.00 0.93 0.96 130568
accuracy 0.93 131227
macro avg 0.50 0.52 0.49 131227
weighted avg 0.99 0.93 0.96 131227
Accuracy: 0.9285131870727823
40-80%
precision recall f1-score support
0 0.01 0.17 0.01 169
1 1.00 0.93 0.96 65234
accuracy 0.93 65403
macro avg 0.50 0.55 0.49 65403
weighted avg 1.00 0.93 0.96 65403
Accuracy: 0.9278626362705075
80-90%
precision recall f1-score support
0 0.00 0.13 0.01 15
1 1.00 0.93 0.96 7371
accuracy 0.93 7386
macro avg 0.50 0.53 0.49 7386
weighted avg 1.00 0.93 0.96 7386
Accuracy: 0.9278364473327918
90-100%
precision recall f1-score support
0 0.01 0.28 0.02 18
1 1.00 0.93 0.96 5686
accuracy 0.93 5704
macro avg 0.51 0.60 0.49 5704
weighted avg 0.99 0.93 0.96 5704
Accuracy: 0.929523141654979
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.91 0.05 0.09 26119367
1 0.46 0.99 0.63 21615229
accuracy 0.48 47734596
macro avg 0.68 0.52 0.36 47734596
weighted avg 0.71 0.48 0.34 47734596
Accuracy: 0.477081318547244
0-1%
precision recall f1-score support
0 1.00 0.09 0.17 12053010
1 0.04 0.99 0.08 508421
accuracy 0.13 12561431
macro avg 0.52 0.54 0.13 12561431
weighted avg 0.96 0.13 0.16 12561431
Accuracy: 0.12700344411397077
1-10%
precision recall f1-score support
0 0.68 0.01 0.03 13368467
1 0.52 0.99 0.68 14466820
accuracy 0.52 27835287
macro avg 0.60 0.50 0.36 27835287
weighted avg 0.60 0.52 0.37 27835287
Accuracy: 0.5234024711151711
10-20%
precision recall f1-score support
0 0.24 0.01 0.02 503365
1 0.87 0.99 0.93 3387274
accuracy 0.87 3890639
macro avg 0.56 0.50 0.48 3890639
weighted avg 0.79 0.87 0.81 3890639
Accuracy: 0.8669455068948828
20-40%
precision recall f1-score support
0 0.17 0.02 0.03 147488
1 0.93 0.99 0.96 1970425
accuracy 0.93 2117913
macro avg 0.55 0.51 0.50 2117913
weighted avg 0.88 0.93 0.90 2117913
Accuracy: 0.9257330211392064
40-80%
precision recall f1-score support
0 0.13 0.02 0.04 41616
1 0.96 0.99 0.98 1064279
accuracy 0.96 1105895
macro avg 0.54 0.51 0.51 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9571279371007193
80-90%
precision recall f1-score support
0 0.13 0.04 0.06 3093
1 0.98 0.99 0.98 120943
accuracy 0.97 124036
macro avg 0.55 0.52 0.52 124036
weighted avg 0.95 0.97 0.96 124036
Accuracy: 0.9693637331097423
90-100%
precision recall f1-score support
0 0.12 0.03 0.05 2328
1 0.98 0.99 0.99 97067
accuracy 0.97 99395
macro avg 0.55 0.51 0.52 99395
weighted avg 0.96 0.97 0.96 99395
Accuracy: 0.9715579254489662
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.94 0.03 0.05 24893266
1 0.46 1.00 0.63 20563095
accuracy 0.47 45456361
macro avg 0.70 0.51 0.34 45456361
weighted avg 0.72 0.47 0.31 45456361
Accuracy: 0.46604038541492576
0-1%
precision recall f1-score support
0 1.00 0.10 0.18 4873589
1 0.00 1.00 0.00 3872
accuracy 0.10 4877461
macro avg 0.50 0.55 0.09 4877461
weighted avg 1.00 0.10 0.18 4877461
Accuracy: 0.09706382070507585
1-10%
precision recall f1-score support
0 0.90 0.01 0.02 16949103
1 0.32 1.00 0.49 8016772
accuracy 0.33 24965875
macro avg 0.61 0.50 0.25 24965875
weighted avg 0.71 0.33 0.17 24965875
Accuracy: 0.32720980137888217
10-20%
precision recall f1-score support
0 0.55 0.01 0.01 2057494
1 0.73 1.00 0.84 5461156
accuracy 0.73 7518650
macro avg 0.64 0.50 0.43 7518650
weighted avg 0.68 0.73 0.61 7518650
Accuracy: 0.726674868493679
20-40%
precision recall f1-score support
0 0.45 0.01 0.02 744974
1 0.85 1.00 0.92 4060539
accuracy 0.84 4805513
macro avg 0.65 0.50 0.47 4805513
weighted avg 0.79 0.84 0.78 4805513
Accuracy: 0.8446887980534025
40-80%
precision recall f1-score support
0 0.43 0.02 0.03 235909
1 0.91 1.00 0.95 2483775
accuracy 0.91 2719684
macro avg 0.67 0.51 0.49 2719684
weighted avg 0.87 0.91 0.87 2719684
Accuracy: 0.9127990604790851
80-90%
precision recall f1-score support
0 0.43 0.02 0.04 18577
1 0.94 1.00 0.97 296772
accuracy 0.94 315349
macro avg 0.69 0.51 0.51 315349
weighted avg 0.91 0.94 0.91 315349
Accuracy: 0.9406593964147658
90-100%
precision recall f1-score support
0 0.41 0.02 0.05 13620
1 0.95 1.00 0.97 240209
accuracy 0.95 253829
macro avg 0.68 0.51 0.51 253829
weighted avg 0.92 0.95 0.92 253829
Accuracy: 0.9457469398689669
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.96 0.01 0.02 22531902
1 0.43 1.00 0.60 16938696
accuracy 0.44 39470598
macro avg 0.70 0.51 0.31 39470598
weighted avg 0.74 0.44 0.27 39470598
Accuracy: 0.43602329004490886
0-1%
precision recall f1-score support
0 1.00 0.11 0.19 1549999
1 0.00 0.00 0.00 0
accuracy 0.11 1549999
macro avg 0.50 0.05 0.10 1549999
weighted avg 1.00 0.11 0.19 1549999
Accuracy: 0.1064949074160693
1-10%
precision recall f1-score support
0 0.98 0.01 0.01 11439888
1 0.10 1.00 0.18 1271288
accuracy 0.11 12711176
macro avg 0.54 0.50 0.10 12711176
weighted avg 0.90 0.11 0.03 12711176
Accuracy: 0.10668100260746921
10-20%
precision recall f1-score support
0 0.81 0.00 0.01 5044441
1 0.43 1.00 0.60 3812372
accuracy 0.43 8856813
macro avg 0.62 0.50 0.30 8856813
weighted avg 0.65 0.43 0.26 8856813
Accuracy: 0.43175327287592047
20-40%
precision recall f1-score support
0 0.72 0.00 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: 0.6514527126305236
40-80%
precision recall f1-score support
0 0.73 0.00 0.01 1295061
1 0.79 1.00 0.89 5001564
accuracy 0.79 6296625
macro avg 0.76 0.50 0.45 6296625
weighted avg 0.78 0.79 0.71 6296625
Accuracy: 0.7948883727393643
80-90%
precision recall f1-score support
0 0.80 0.01 0.01 117971
1 0.86 1.00 0.92 692761
accuracy 0.86 810732
macro avg 0.83 0.50 0.47 810732
weighted avg 0.85 0.86 0.79 810732
Accuracy: 0.8551469536172249
90-100%
precision recall f1-score support
0 0.79 0.01 0.01 88944
1 0.87 1.00 0.93 577496
accuracy 0.87 666440
macro avg 0.83 0.50 0.47 666440
weighted avg 0.86 0.87 0.81 666440
Accuracy: 0.8671958465878399
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 |
| Offline Clock 1st iteration | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 4778830 | 0.41633 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 4777917 | 0.416335 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 4777960 | 0.416335 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.3] | 4654145 | 0.418916 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 4088213 | 0.419739 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 4086760 | 0.419747 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 4086178 | 0.41975 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 4856851 | 0.42233 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.3] | 3707754 | 0.423329 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.3] | 3360769 | 0.423796 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.3] | 3359639 | 0.423802 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | 3359046 | 0.423806 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 4429453 | 0.425143 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 4409655 | 0.425233 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 4359209 | 0.425438 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.3] | 2828327 | 0.428148 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.3] | 2830034 | 0.428148 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.3] | 2833313 | 0.428156 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 2930021 | 0.429206 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 2697165 | 0.433151 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 2681969 | 0.433199 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 2565555 | 0.43379 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 2484169 | 0.434066 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | 1758243 | 0.435337 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 1699015 | 0.438259 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 1538851 | 0.439285 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.3] | 1455705 | 0.439779 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.3] | 1395979 | 0.440154 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | 1175850 | 0.441271 | ../../result/log/zipf_1_15 | 0.01 | 1 |
0.1
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5855919 | 0.209857 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| Zipf Optimal Distribution | 8927244 | 0.211885 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| Offline Clock 1st iteration | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.3] | 4295932 | 0.224237 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 3779296 | 0.225865 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 3778802 | 0.225866 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 3777924 | 0.225868 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.3] | 3444625 | 0.227751 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 3985804 | 0.228174 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 3075274 | 0.229086 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 3071371 | 0.229101 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 3070562 | 0.229106 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 4259062 | 0.229769 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 4243978 | 0.229824 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 4233153 | 0.229866 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.3] | 2724482 | 0.231276 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.3] | 2724487 | 0.231277 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.3] | 2723140 | 0.231285 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 2825704 | 0.231689 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 2487684 | 0.232159 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.3] | 2487458 | 0.232161 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.3] | 2486200 | 0.232167 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | 2224245 | 0.234625 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 2788932 | 0.235597 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 2782934 | 0.235623 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 2776562 | 0.23565 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 1684624 | 0.24083 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.3] | 1659779 | 0.240959 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.3] | 1647700 | 0.241021 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 525074 | 0.247531 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 261075 | 0.249315 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | 193561 | 0.2498 | ../../result/log/zipf_1_15 | 0.1 | 1 |
0.2
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5679810 | 0.147307 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| Zipf Optimal Distribution | 8496578 | 0.150203 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| Offline Clock 1st iteration | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.3] | 4182183 | 0.160571 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.3] | 3329675 | 0.163587 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 4167613 | 0.165734 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 4164970 | 0.165743 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 4163739 | 0.165746 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.3] | 2617987 | 0.166683 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.3] | 2615867 | 0.166692 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.3] | 2614961 | 0.166696 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 3549844 | 0.166744 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 3423056 | 0.166911 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 3419036 | 0.166917 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 3419091 | 0.166919 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 2831971 | 0.167105 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 2687928 | 0.169312 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 2686843 | 0.169313 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 2738921 | 0.169441 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 2839844 | 0.170378 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 2827154 | 0.170429 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 2822523 | 0.170447 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.3] | 1883662 | 0.171925 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 1875241 | 0.171937 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.3] | 1864327 | 0.171946 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | 2022522 | 0.172074 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.3] | 1747002 | 0.175033 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 1742919 | 0.175052 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.3] | 1740023 | 0.175066 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 128051 | 0.18425 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | 101791 | 0.184441 | ../../result/log/zipf_1_15 | 0.2 | 1 |
0.4
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5220469 | 0.0827401 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| Zipf Optimal Distribution | 7658498 | 0.0867334 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| Offline Clock 1st iteration | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.3] | 4089960 | 0.0937022 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.3] | 3201855 | 0.0956834 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 4208194 | 0.0973667 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 4208092 | 0.0973671 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 4208092 | 0.0973671 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 4207980 | 0.0973673 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 4207477 | 0.0973686 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 4207168 | 0.0973695 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.3] | 2380282 | 0.0982626 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.3] | 2379947 | 0.0982632 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.3] | 2379664 | 0.0982641 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 3001759 | 0.100436 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 3001145 | 0.100437 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 3000561 | 0.100439 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 2998015 | 0.100447 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 2997658 | 0.100448 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 2997556 | 0.100449 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 2345657 | 0.102234 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 1750243 | 0.104286 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.3] | 1809011 | 0.104392 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 1808268 | 0.104395 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.3] | 1807381 | 0.104398 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.3] | 1791179 | 0.104443 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 1790454 | 0.104446 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.3] | 1789547 | 0.10445 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | 1267709 | 0.106156 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 51152 | 0.113313 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | 36115 | 0.113426 | ../../result/log/zipf_1_15 | 0.4 | 1 |
zipf_1_16
Ignore Obj Size
0.01
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 6044928 | 0.403882 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| Zipf Optimal Distribution | 9516893 | 0.40457 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| Offline Clock 1st iteration | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 4776669 | 0.416468 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 4776046 | 0.416472 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 4775900 | 0.416473 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.3] | 4652674 | 0.419069 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 4088282 | 0.419873 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 4086930 | 0.41988 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 4086584 | 0.419881 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 4854443 | 0.422503 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.3] | 3706052 | 0.423479 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.3] | 3363799 | 0.423905 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.3] | 3362433 | 0.423914 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | 3362161 | 0.423915 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 4430991 | 0.425282 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 4411075 | 0.425371 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 4361114 | 0.425575 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.3] | 2830245 | 0.428275 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.3] | 2828400 | 0.428276 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.3] | 2833294 | 0.428283 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 2930198 | 0.429341 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 2697753 | 0.433287 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 2681949 | 0.433339 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 2565641 | 0.433933 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 2485375 | 0.434205 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | 1757198 | 0.435467 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 1702225 | 0.438384 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 1541566 | 0.439412 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.3] | 1456803 | 0.439916 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.3] | 1396899 | 0.440291 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | 1176660 | 0.441402 | ../../result/log/zipf_1_16 | 0.01 | 1 |
0.1
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5851636 | 0.210029 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| Zipf Optimal Distribution | 8926367 | 0.212052 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| Offline Clock 1st iteration | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.3] | 4295017 | 0.224392 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 3780847 | 0.225992 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 3780236 | 0.225994 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 3779446 | 0.225996 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.3] | 3444957 | 0.227899 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 3987701 | 0.228312 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 3077311 | 0.229223 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 3072991 | 0.229237 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 3072201 | 0.229242 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 4260116 | 0.22992 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 4245335 | 0.229974 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 4235217 | 0.230009 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.3] | 2725171 | 0.231416 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.3] | 2725154 | 0.231417 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.3] | 2723740 | 0.231426 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 2828032 | 0.231829 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 2487232 | 0.232314 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.3] | 2486949 | 0.232317 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.3] | 2485862 | 0.232323 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | 2224337 | 0.23477 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 2788641 | 0.235744 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 2782543 | 0.235772 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 2776332 | 0.235798 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 1682058 | 0.241013 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.3] | 1658056 | 0.241133 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.3] | 1646157 | 0.241196 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 526246 | 0.247672 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 260565 | 0.249465 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | 193186 | 0.249944 | ../../result/log/zipf_1_16 | 0.1 | 1 |
0.2
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5683642 | 0.147393 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| Zipf Optimal Distribution | 8505430 | 0.150288 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| Offline Clock 1st iteration | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.3] | 4186945 | 0.160669 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.3] | 3332791 | 0.163688 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 4173234 | 0.165839 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 4170652 | 0.165847 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 4169452 | 0.16585 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.3] | 2619181 | 0.166771 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.3] | 2617153 | 0.16678 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.3] | 2616355 | 0.166784 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 3552442 | 0.166855 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 3427557 | 0.167009 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 3423429 | 0.167015 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 3423673 | 0.167016 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 2837594 | 0.167167 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 2690831 | 0.16941 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 2689623 | 0.169411 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 2741213 | 0.169538 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 2842470 | 0.170479 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 2830560 | 0.170523 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 2825981 | 0.170541 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.3] | 1884768 | 0.172017 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 1876720 | 0.172025 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.3] | 1865708 | 0.172037 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | 2024363 | 0.172162 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.3] | 1746643 | 0.17513 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 1742907 | 0.175147 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.3] | 1739888 | 0.175162 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 128353 | 0.184327 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | 101602 | 0.184524 | ../../result/log/zipf_1_16 | 0.2 | 1 |
0.4
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5225924 | 0.0827439 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| Zipf Optimal Distribution | 7664562 | 0.0867505 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| Offline Clock 1st iteration | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.3] | 4096069 | 0.0937193 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.3] | 3206714 | 0.0956928 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 4212209 | 0.0973868 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 4212109 | 0.097387 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 4212109 | 0.097387 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 4211953 | 0.0973876 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 4211430 | 0.0973893 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 4211188 | 0.0973898 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.3] | 2384703 | 0.098265 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.3] | 2384344 | 0.0982657 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.3] | 2384094 | 0.0982662 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 3004477 | 0.100461 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 3003798 | 0.100463 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 3003222 | 0.100465 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 3000529 | 0.100473 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 3000252 | 0.100474 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 3000155 | 0.100474 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 2348153 | 0.102259 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 1752119 | 0.104302 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.3] | 1810756 | 0.104408 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 1809921 | 0.104411 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.3] | 1809031 | 0.104415 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.3] | 1792437 | 0.104464 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 1791955 | 0.104464 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.3] | 1790913 | 0.10447 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | 1269156 | 0.106185 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 51014 | 0.113344 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | 36416 | 0.113451 | ../../result/log/zipf_1_16 | 0.4 | 1 |
zipf_1_17
Ignore Obj Size
0.01
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 6046350 | 0.403777 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| Zipf Optimal Distribution | 9518366 | 0.404457 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| Offline Clock 1st iteration | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 4780572 | 0.416354 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 4779714 | 0.416357 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 4779611 | 0.416358 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.3] | 4654213 | 0.418963 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 4090923 | 0.419757 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 4090029 | 0.41976 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 4089402 | 0.419763 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 4857659 | 0.422392 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.3] | 3708875 | 0.423366 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.3] | 3365292 | 0.423799 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.3] | 3363908 | 0.423807 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | 3363487 | 0.423809 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 4429964 | 0.4252 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 4410744 | 0.425283 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 4360560 | 0.42549 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.3] | 2832383 | 0.428161 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.3] | 2830461 | 0.428163 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.3] | 2835421 | 0.428171 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 2932319 | 0.429231 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 2700141 | 0.433176 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 2684410 | 0.433224 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 2568625 | 0.433817 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 2488184 | 0.434089 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | 1758568 | 0.435363 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 1701893 | 0.438282 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 1540387 | 0.439321 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.3] | 1456588 | 0.439811 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.3] | 1396529 | 0.440189 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | 1176510 | 0.441305 | ../../result/log/zipf_1_17 | 0.01 | 1 |
0.1
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5851791 | 0.209897 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| Zipf Optimal Distribution | 8925674 | 0.211925 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| Offline Clock 1st iteration | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.3] | 4293074 | 0.224267 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 3781650 | 0.225855 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 3781220 | 0.225856 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 3780457 | 0.225858 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.3] | 3444390 | 0.227766 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 3986529 | 0.228188 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 3076902 | 0.229077 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 3072851 | 0.229091 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 3072122 | 0.229097 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 4260402 | 0.2298 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 4245340 | 0.229855 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 4234801 | 0.229894 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.3] | 2724773 | 0.231282 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.3] | 2724954 | 0.231283 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.3] | 2723549 | 0.231291 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 2827211 | 0.231686 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 2488327 | 0.232164 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.3] | 2487992 | 0.232166 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.3] | 2486732 | 0.232173 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | 2224946 | 0.234618 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 2789782 | 0.235604 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 2783845 | 0.23563 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 2777465 | 0.235659 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 1684121 | 0.240858 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.3] | 1660063 | 0.240977 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.3] | 1647886 | 0.241041 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 524824 | 0.247536 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 260502 | 0.249325 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | 193420 | 0.249806 | ../../result/log/zipf_1_17 | 0.1 | 1 |
0.2
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5680729 | 0.147336 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| Zipf Optimal Distribution | 8498188 | 0.150231 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| Offline Clock 1st iteration | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.3] | 4181920 | 0.160596 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.3] | 3328763 | 0.163629 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 4169208 | 0.165773 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 4166813 | 0.16578 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 4165646 | 0.165784 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.3] | 2617155 | 0.16672 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.3] | 2615194 | 0.166728 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.3] | 2614227 | 0.166733 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 3553041 | 0.166764 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 3426431 | 0.166932 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 3422241 | 0.166939 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 3422569 | 0.166939 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 2832701 | 0.16712 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 2686306 | 0.169354 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 2687587 | 0.169354 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 2738217 | 0.169482 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 2839561 | 0.170411 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 2827109 | 0.170459 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 2822472 | 0.170479 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.3] | 1883432 | 0.171953 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 1874738 | 0.171965 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.3] | 1863772 | 0.171976 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | 2022310 | 0.172107 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.3] | 1746120 | 0.175073 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 1742041 | 0.175092 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.3] | 1739006 | 0.175107 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 128609 | 0.184273 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | 102090 | 0.184467 | ../../result/log/zipf_1_17 | 0.2 | 1 |
0.4
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5224778 | 0.0827112 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| Zipf Optimal Distribution | 7661751 | 0.0867151 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| Offline Clock 1st iteration | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.3] | 4090332 | 0.0936931 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.3] | 3204640 | 0.0956679 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 4209882 | 0.0973594 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 4209758 | 0.0973597 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 4209758 | 0.0973597 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 4209602 | 0.0973601 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 4209180 | 0.0973607 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 4208960 | 0.0973613 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.3] | 2382480 | 0.0982436 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.3] | 2382153 | 0.0982441 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.3] | 2381894 | 0.098245 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 3003823 | 0.100429 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 3003170 | 0.100431 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 3002636 | 0.100432 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 2999969 | 0.100441 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 2999684 | 0.100442 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 2999548 | 0.100442 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 2347326 | 0.102232 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 1749573 | 0.104295 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.3] | 1808285 | 0.104398 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 1807629 | 0.1044 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.3] | 1806752 | 0.104404 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.3] | 1790047 | 0.104452 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 1789334 | 0.104454 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.3] | 1788454 | 0.104458 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | 1268039 | 0.10616 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 50842 | 0.113293 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | 35743 | 0.113408 | ../../result/log/zipf_1_17 | 0.4 | 1 |
zipf_1_18
Ignore Obj Size
0.01
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 6046061 | 0.40372 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| Zipf Optimal Distribution | 9518058 | 0.404413 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| Offline Clock 1st iteration | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 4778308 | 0.416311 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 4777614 | 0.416315 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 4777407 | 0.416316 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.3] | 4654377 | 0.418905 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 4090770 | 0.419706 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 4089665 | 0.419712 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 4088985 | 0.419715 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 4856517 | 0.422339 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.3] | 3707498 | 0.42332 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.3] | 3364397 | 0.423761 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.3] | 3363098 | 0.423769 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | 3362796 | 0.42377 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 4431402 | 0.425124 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 4411574 | 0.42521 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 4360788 | 0.425422 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.3] | 2829302 | 0.428127 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.3] | 2830516 | 0.428127 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.3] | 2833644 | 0.428137 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 2931770 | 0.42918 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 2698198 | 0.433132 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 2682473 | 0.433185 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 2565671 | 0.433786 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 2484922 | 0.434066 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | 1758895 | 0.435314 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 1700766 | 0.438238 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 1539105 | 0.439275 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.3] | 1456112 | 0.439763 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.3] | 1395766 | 0.440143 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | 1176016 | 0.441251 | ../../result/log/zipf_1_18 | 0.01 | 1 |
0.1
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5852167 | 0.209865 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| Zipf Optimal Distribution | 8924501 | 0.211883 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| Offline Clock 1st iteration | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.3] | 4296089 | 0.224223 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 3783438 | 0.225822 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 3782855 | 0.225824 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 3781996 | 0.225825 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.3] | 3446142 | 0.22773 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 3987771 | 0.22815 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 3076947 | 0.229054 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 3072966 | 0.229068 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 3071983 | 0.229074 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 4259760 | 0.229759 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 4245659 | 0.229806 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 4235341 | 0.229844 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.3] | 2725888 | 0.231245 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.3] | 2726028 | 0.231245 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.3] | 2724475 | 0.231254 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 2827548 | 0.231655 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 2486239 | 0.232138 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.3] | 2485952 | 0.23214 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.3] | 2484643 | 0.232147 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | 2224237 | 0.234594 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 2790123 | 0.235581 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 2784189 | 0.235606 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 2777866 | 0.235634 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 1685281 | 0.240813 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.3] | 1659881 | 0.240945 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.3] | 1647709 | 0.241008 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 524835 | 0.247503 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 261028 | 0.249289 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | 193808 | 0.249767 | ../../result/log/zipf_1_18 | 0.1 | 1 |
0.2
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5677502 | 0.147262 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| Zipf Optimal Distribution | 8501025 | 0.150135 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| Offline Clock 1st iteration | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_w_0_5[cache_size=0.2,treshold=0.3] | 4180333 | 0.160525 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.3] | 3329294 | 0.163546 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 4168860 | 0.165688 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 4166293 | 0.165696 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 4164948 | 0.1657 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.3] | 2616633 | 0.16663 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.3] | 2614507 | 0.166639 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.3] | 2613531 | 0.166644 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 3549900 | 0.166704 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 3424820 | 0.166868 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 3420634 | 0.166874 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 3420968 | 0.166874 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 2830581 | 0.167041 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 2687574 | 0.169265 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 2686271 | 0.169266 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 2738946 | 0.169396 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 2839346 | 0.170344 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 2826738 | 0.170393 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 2821996 | 0.170412 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.3] | 1884210 | 0.171862 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 1875598 | 0.171873 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.3] | 1864572 | 0.171883 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | 2022922 | 0.172008 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.3] | 1746378 | 0.174979 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 1742595 | 0.174995 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.3] | 1739614 | 0.175008 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 128368 | 0.184183 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | 101898 | 0.184375 | ../../result/log/zipf_1_18 | 0.2 | 1 |
0.4
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5223361 | 0.0826611 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| Zipf Optimal Distribution | 7661309 | 0.0866641 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| Offline Clock 1st iteration | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.3] | 4087308 | 0.0936442 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.3] | 3202374 | 0.0956342 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 4206472 | 0.0972979 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 4206364 | 0.0972982 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 4206364 | 0.0972982 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 4206241 | 0.0972983 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 4205763 | 0.0972989 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 4205509 | 0.0972996 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.3] | 2379447 | 0.0982088 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.3] | 2379087 | 0.0982092 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.3] | 2378793 | 0.09821 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 3002012 | 0.100368 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 3001303 | 0.10037 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 3000730 | 0.100371 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 2998393 | 0.100377 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 2998127 | 0.100379 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 2998070 | 0.100379 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 2346146 | 0.102163 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 1748734 | 0.104229 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.3] | 1807986 | 0.104327 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 1807260 | 0.10433 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.3] | 1806245 | 0.104333 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.3] | 1790277 | 0.104379 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 1789672 | 0.104381 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.3] | 1788884 | 0.104384 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | 1267830 | 0.106096 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 51051 | 0.113252 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | 35928 | 0.113367 | ../../result/log/zipf_1_18 | 0.4 | 1 |
zipf_1_19
Ignore Obj Size
0.01
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 6047379 | 0.403776 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| Zipf Optimal Distribution | 9518278 | 0.404475 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| Offline Clock 1st iteration | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 4780624 | 0.416355 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 4779771 | 0.416359 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 4779895 | 0.416359 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_w_0_5[cache_size=0.01,treshold=0.3] | 4657178 | 0.418938 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 4090181 | 0.419771 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 4089255 | 0.419775 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 4088791 | 0.419777 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] | 4857424 | 0.422397 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_w_0_75[cache_size=0.01,treshold=0.3] | 3709293 | 0.423354 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_rtime[cache_size=0.01,treshold=0.3] | 3364481 | 0.42381 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_rtime[cache_size=0.01,treshold=0.3] | 3363160 | 0.423819 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | 3362791 | 0.423821 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 4435289 | 0.425171 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 4415670 | 0.425257 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 4364878 | 0.425469 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.3] | 2830825 | 0.428173 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.3] | 2829026 | 0.428175 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.3] | 2833220 | 0.428188 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] | 2931443 | 0.429238 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 2700454 | 0.433171 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 2685039 | 0.43322 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 2567686 | 0.433827 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] | 2487045 | 0.434099 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | 1759129 | 0.435369 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] | 1703282 | 0.438273 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 1542115 | 0.439306 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8_decay_vtime[cache_size=0.01,treshold=0.3] | 1458005 | 0.439802 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9_decay_vtime[cache_size=0.01,treshold=0.3] | 1397220 | 0.440189 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | 1176733 | 0.441303 | ../../result/log/zipf_1_19 | 0.01 | 1 |
0.1
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5852464 | 0.209927 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| Zipf Optimal Distribution | 8923837 | 0.21197 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| Offline Clock 1st iteration | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_w_0_5[cache_size=0.1,treshold=0.3] | 4293917 | 0.224299 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 3783950 | 0.22588 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 3783360 | 0.225882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 3782684 | 0.225883 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_w_0_75[cache_size=0.1,treshold=0.3] | 3446082 | 0.227797 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] | 3990730 | 0.228206 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 3078255 | 0.229118 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 3074438 | 0.22913 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 3073381 | 0.229137 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 4262655 | 0.229816 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 4247721 | 0.229869 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 4237422 | 0.229904 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.3] | 2726410 | 0.231308 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.3] | 2726451 | 0.231308 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9[cache_size=0.1,treshold=0.3] | 2725232 | 0.231315 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] | 2829720 | 0.231726 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 2489838 | 0.232195 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_rtime[cache_size=0.1,treshold=0.3] | 2489585 | 0.232196 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_rtime[cache_size=0.1,treshold=0.3] | 2488451 | 0.232202 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | 2225772 | 0.234666 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 2790002 | 0.235649 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 2783985 | 0.235676 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 2777892 | 0.235702 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 1682358 | 0.240908 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8_decay_vtime[cache_size=0.1,treshold=0.3] | 1658095 | 0.24103 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_9_decay_vtime[cache_size=0.1,treshold=0.3] | 1646121 | 0.241091 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] | 525870 | 0.247567 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] | 259878 | 0.249368 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | 193843 | 0.249839 | ../../result/log/zipf_1_19 | 0.1 | 1 |
0.2
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5678610 | 0.147359 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| Zipf Optimal Distribution | 8501803 | 0.150225 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 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_7_w_0_5[cache_size=0.2,treshold=0.3] | 4180432 | 0.160631 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_w_0_75[cache_size=0.2,treshold=0.3] | 3328040 | 0.16365 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 4168193 | 0.165781 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 4165664 | 0.165789 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] | 4164389 | 0.165793 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.3] | 2617038 | 0.166725 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.3] | 2614883 | 0.166734 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.3] | 2613982 | 0.166738 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 3547472 | 0.166795 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 3422829 | 0.166958 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 3418885 | 0.166964 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] | 3419143 | 0.166965 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 2833469 | 0.167132 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 2688161 | 0.169347 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 2689419 | 0.169347 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] | 2740149 | 0.169474 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 2839119 | 0.170428 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 2826644 | 0.170475 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 2822285 | 0.170492 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_rtime[cache_size=0.2,treshold=0.3] | 1882802 | 0.17196 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 1874229 | 0.171972 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_rtime[cache_size=0.2,treshold=0.3] | 1863324 | 0.171982 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | 2022841 | 0.172114 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8_decay_vtime[cache_size=0.2,treshold=0.3] | 1747213 | 0.175067 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 1743406 | 0.175084 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_9_decay_vtime[cache_size=0.2,treshold=0.3] | 1740286 | 0.175099 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] | 128654 | 0.184273 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | 101988 | 0.184469 | ../../result/log/zipf_1_19 | 0.2 | 1 |
0.4
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5227240 | 0.0827181 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| Zipf Optimal Distribution | 7662557 | 0.0867323 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| Offline Clock 1st iteration | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_w_0_5[cache_size=0.4,treshold=0.3] | 4094249 | 0.0936991 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_w_0_75[cache_size=0.4,treshold=0.3] | 3206061 | 0.0956919 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 4210030 | 0.0973652 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 4209872 | 0.0973656 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 4209872 | 0.0973656 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 4209709 | 0.0973661 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 4209273 | 0.0973674 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] | 4208949 | 0.0973683 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.3] | 2383206 | 0.098261 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.3] | 2382856 | 0.0982613 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.3] | 2382602 | 0.098262 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 3002421 | 0.100464 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 3001864 | 0.100466 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 3001199 | 0.100468 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 2998705 | 0.100474 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 2998397 | 0.100475 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 2998369 | 0.100475 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] | 2351261 | 0.102228 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] | 1752836 | 0.104286 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_vtime[cache_size=0.4,treshold=0.3] | 1811701 | 0.104391 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 1811005 | 0.104394 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_vtime[cache_size=0.4,treshold=0.3] | 1810195 | 0.104396 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_8_decay_rtime[cache_size=0.4,treshold=0.3] | 1794046 | 0.104439 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 1793392 | 0.104442 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9_decay_rtime[cache_size=0.4,treshold=0.3] | 1792436 | 0.104446 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | 1268826 | 0.106166 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] | 50915 | 0.113329 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | 36230 | 0.113439 | ../../result/log/zipf_1_19 | 0.4 | 1 |