Zipf1 Selected Non-Decay vs Decay Model with All Treshold 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[cache_size=0.01,treshold=0.5] | 0 |
| LR_7[cache_size=0.01,treshold=0.6] | 0 |
| LR_7[cache_size=0.01,treshold=0.7] | 0 |
| LR_7[cache_size=0.01,treshold=0.8] | 100 |
| LR_7[cache_size=0.01,treshold=0.9] | 100 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | 0 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | 0 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 0 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 0 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.8] | 0 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.9] | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.8] | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.9] | 0 |
| LR_7[cache_size=0.1,treshold=0.3] | 0 |
| LR_7[cache_size=0.1,treshold=0.5] | 0 |
| LR_7[cache_size=0.1,treshold=0.6] | 0 |
| LR_7[cache_size=0.1,treshold=0.7] | 0 |
| LR_7[cache_size=0.1,treshold=0.8] | 100 |
| LR_7[cache_size=0.1,treshold=0.9] | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.8] | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.9] | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.8] | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.9] | 0 |
| LR_7[cache_size=0.2,treshold=0.3] | 0 |
| LR_7[cache_size=0.2,treshold=0.5] | 0 |
| LR_7[cache_size=0.2,treshold=0.6] | 0 |
| LR_7[cache_size=0.2,treshold=0.7] | 0 |
| LR_7[cache_size=0.2,treshold=0.8] | 0 |
| LR_7[cache_size=0.2,treshold=0.9] | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.8] | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.9] | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.8] | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.9] | 0 |
| LR_7[cache_size=0.4,treshold=0.3] | 0 |
| LR_7[cache_size=0.4,treshold=0.5] | 0 |
| LR_7[cache_size=0.4,treshold=0.6] | 0 |
| LR_7[cache_size=0.4,treshold=0.7] | 0 |
| LR_7[cache_size=0.4,treshold=0.8] | 0 |
| LR_7[cache_size=0.4,treshold=0.9] | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.8] | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.9] | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.8] | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.9] | 0 |
| 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[cache_size=0.01,treshold=0.5] | 58.0835 | 58.065 | 58.0713 | 58.0668 |
| LR_7[cache_size=0.01,treshold=0.6] | 46.1366 | 46.1098 | 46.1229 | 46.1218 |
| LR_7[cache_size=0.01,treshold=0.7] | 28.7011 | 28.6634 | 28.6839 | 28.6851 |
| LR_7[cache_size=0.01,treshold=0.8] | 6.88137 | 6.86902 | 6.87683 | 6.879 |
| LR_7[cache_size=0.01,treshold=0.9] | 1.34773 | 1.34061 | 1.34513 | 1.34701 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | 67.8282 | 67.7813 | 67.7968 | 67.7885 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | 56.4884 | 56.4581 | 56.4771 | 56.4821 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 48.3661 | 48.3242 | 48.3463 | 48.3529 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 36.3781 | 36.3493 | 36.366 | 36.3718 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.8] | 16.3437 | 16.3183 | 16.3308 | 16.3313 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 85.2614 | 85.2307 | 85.2454 | 85.2447 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | 63.6617 | 63.62 | 63.6488 | 63.656 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 37.2107 | 37.1812 | 37.1935 | 37.195 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 0.0123591 | 0.0110348 | 0.0114865 | 0.0111867 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.8] | 0.00053652 | 0.000335257 | 0.000427203 | 0.000430919 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.1,treshold=0.3] | 73.4806 | 73.4522 | 73.4674 | 73.4736 |
| LR_7[cache_size=0.1,treshold=0.5] | 59.2362 | 59.1994 | 59.2233 | 59.2247 |
| LR_7[cache_size=0.1,treshold=0.6] | 47.8454 | 47.7884 | 47.822 | 47.8263 |
| LR_7[cache_size=0.1,treshold=0.7] | 30.4491 | 30.4138 | 30.4274 | 30.4225 |
| LR_7[cache_size=0.1,treshold=0.8] | 5.21053 | 5.17244 | 5.18877 | 5.18922 |
| LR_7[cache_size=0.1,treshold=0.9] | 0.000555101 | 0.000506297 | 0.000531545 | 0.000525669 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 75.7924 | 75.7577 | 75.78 | 75.7855 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 63.9465 | 63.9038 | 63.9266 | 63.9337 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 53.9288 | 53.8688 | 53.9037 | 53.9124 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7885 | 29.7363 | 29.7606 | 29.7615 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 83.629 | 83.5877 | 83.6089 | 83.6057 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 59.9918 | 59.9463 | 59.9715 | 59.9793 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 38.7766 | 38.6998 | 38.7353 | 38.741 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 1.27606 | 1.24021 | 1.26179 | 1.26404 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.8] | 3.89545e-05 | 0 | 1.55786e-05 | 9.73649e-06 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.2,treshold=0.3] | 73.8603 | 73.8424 | 73.8544 | 73.856 |
| LR_7[cache_size=0.2,treshold=0.5] | 59.3858 | 59.3529 | 59.3682 | 59.3645 |
| LR_7[cache_size=0.2,treshold=0.6] | 47.7083 | 47.6877 | 47.7012 | 47.7035 |
| LR_7[cache_size=0.2,treshold=0.7] | 29.8396 | 29.8127 | 29.8321 | 29.8348 |
| LR_7[cache_size=0.2,treshold=0.8] | 4.69871 | 4.62173 | 4.65984 | 4.66176 |
| LR_7[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 81.2642 | 81.246 | 81.2538 | 81.2525 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | 66.8995 | 66.8546 | 66.875 | 66.8721 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 56.4722 | 56.4611 | 56.4676 | 56.4672 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 0.00734788 | 0.00627782 | 0.00680156 | 0.00681926 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.8] | 0.000399983 | 0.000219937 | 0.000315886 | 0.000319889 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 82.5892 | 82.5715 | 82.5787 | 82.5759 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 59.8093 | 59.7863 | 59.7971 | 59.7959 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 39.6949 | 39.6482 | 39.6709 | 39.6686 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 4.14884 | 4.11541 | 4.13316 | 4.13037 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.4,treshold=0.3] | 74.2504 | 74.2035 | 74.2236 | 74.2211 |
| LR_7[cache_size=0.4,treshold=0.5] | 59.5458 | 59.4938 | 59.514 | 59.5067 |
| LR_7[cache_size=0.4,treshold=0.6] | 47.1282 | 47.0439 | 47.084 | 47.0885 |
| LR_7[cache_size=0.4,treshold=0.7] | 29.0067 | 28.8549 | 28.9199 | 28.9118 |
| LR_7[cache_size=0.4,treshold=0.8] | 6.85173 | 6.80302 | 6.83317 | 6.84329 |
| LR_7[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6364 | 80.5942 | 80.6168 | 80.6126 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 59.6696 | 59.6298 | 59.6494 | 59.6452 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2799 | 41.1786 | 41.2212 | 41.2187 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 9.14622 | 9.07493 | 9.09984 | 9.09161 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4395 | 80.4036 | 80.4236 | 80.4182 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | 59.3149 | 59.2213 | 59.2666 | 59.2741 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 41.1381 | 41.0351 | 41.0759 | 41.0723 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 9.73816 | 9.67011 | 9.68884 | 9.68025 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| 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[cache_size=0.01,treshold=0.5] | -3.68557 | -3.70064 | -3.69388 | -3.69557 |
| LR_7[cache_size=0.01,treshold=0.6] | -2.43525 | -2.44784 | -2.44125 | -2.44002 |
| LR_7[cache_size=0.01,treshold=0.7] | -1.01491 | -1.02179 | -1.01845 | -1.0189 |
| LR_7[cache_size=0.01,treshold=0.8] | 0.0698421 | 0.0666382 | 0.0684527 | 0.0693389 |
| LR_7[cache_size=0.01,treshold=0.9] | 0.0352876 | 0.0328255 | 0.0341523 | 0.0340449 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | -4.58077 | -4.59878 | -4.58505 | -4.58171 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | -3.0176 | -3.03426 | -3.02322 | -3.02186 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | -2.08708 | -2.09713 | -2.09183 | -2.0911 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | -1.00321 | -1.01315 | -1.00922 | -1.011 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.8] | -0.0120911 | -0.020723 | -0.0158914 | -0.0153021 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | -8.4021 | -8.41912 | -8.40882 | -8.40943 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | -5.59918 | -5.61415 | -5.60567 | -5.60483 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | -2.8999 | -2.91011 | -2.90359 | -2.90345 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | -0.00123396 | -0.0017273 | -0.00152992 | -0.00148085 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.8] | 0 | -0.000246758 | -4.93515e-05 | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.1,treshold=0.3] | -8.14738 | -8.16586 | -8.15211 | -8.14887 |
| LR_7[cache_size=0.1,treshold=0.5] | -5.06395 | -5.07163 | -5.06717 | -5.06612 |
| LR_7[cache_size=0.1,treshold=0.6] | -3.21156 | -3.22139 | -3.21605 | -3.21626 |
| LR_7[cache_size=0.1,treshold=0.7] | -1.21318 | -1.22114 | -1.21774 | -1.21703 |
| LR_7[cache_size=0.1,treshold=0.8] | 0.107101 | 0.100055 | 0.104549 | 0.104761 |
| LR_7[cache_size=0.1,treshold=0.9] | 0 | -0.000467681 | -0.000280511 | -0.000467327 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | -8.5622 | -8.57836 | -8.56731 | -8.56651 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | -5.76907 | -5.79047 | -5.77488 | -5.77175 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | -3.89765 | -3.91643 | -3.90478 | -3.90363 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | -1.48348 | -1.49776 | -1.48959 | -1.48797 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | -12.6236 | -12.6359 | -12.6307 | -12.6318 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | -7.69874 | -7.71361 | -7.70577 | -7.70458 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | -4.39381 | -4.41099 | -4.40228 | -4.40196 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | -0.115897 | -0.122047 | -0.118577 | -0.118793 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.2,treshold=0.3] | -9.1235 | -9.12733 | -9.12527 | -9.12554 |
| LR_7[cache_size=0.2,treshold=0.5] | -5.35066 | -5.36681 | -5.35865 | -5.35646 |
| LR_7[cache_size=0.2,treshold=0.6] | -3.21367 | -3.23579 | -3.22569 | -3.22357 |
| LR_7[cache_size=0.2,treshold=0.7] | -1.10015 | -1.11492 | -1.10608 | -1.10351 |
| LR_7[cache_size=0.2,treshold=0.8] | -0.00981444 | -0.0124422 | -0.0117823 | -0.0124353 |
| LR_7[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | -12.5516 | -12.561 | -12.555 | -12.5537 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | -9.46559 | -9.4814 | -9.47742 | -9.48085 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | -7.39834 | -7.41252 | -7.40403 | -7.40246 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | -0.000654515 | -0.00130971 | -0.00104729 | -0.00130859 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | -14.5905 | -14.6003 | -14.597 | -14.598 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | -8.80982 | -8.81762 | -8.81409 | -8.81335 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | -5.09984 | -5.11987 | -5.11214 | -5.11221 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | -0.433144 | -0.438097 | -0.435678 | -0.436007 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.4,treshold=0.3] | -9.49325 | -9.54149 | -9.51692 | -9.51555 |
| LR_7[cache_size=0.4,treshold=0.5] | -5.12316 | -5.18121 | -5.15563 | -5.15518 |
| LR_7[cache_size=0.4,treshold=0.6] | -2.91977 | -2.98173 | -2.9458 | -2.94612 |
| LR_7[cache_size=0.4,treshold=0.7] | -1.04431 | -1.06864 | -1.05688 | -1.0552 |
| LR_7[cache_size=0.4,treshold=0.8] | -0.134606 | -0.159964 | -0.150485 | -0.157828 |
| LR_7[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | -16.3829 | -16.4379 | -16.4154 | -16.4254 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | -9.74211 | -9.80403 | -9.7766 | -9.78019 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | -5.77502 | -5.81742 | -5.79959 | -5.80283 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | -1.00687 | -1.03073 | -1.02295 | -1.02382 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | -16.3261 | -16.3777 | -16.3581 | -16.3686 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | -9.64996 | -9.71384 | -9.68346 | -9.68488 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | -5.75028 | -5.79121 | -5.77332 | -5.77653 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | -1.07807 | -1.10914 | -1.09927 | -1.10456 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 | 0 | 0 |
| Offline Clock 2nd iteration | 7.80369 | 0.100977 | 2.73498 | 1.84941 |
| Zipf Optimal Distribution | 3.35401 | 0.0684004 | 1.23463 | 0.902408 |
Model Summaries Plot
Miss Ratio Reduced (%)
Cache Size All
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 42.6567 | 2.73498 |
| Zipf Optimal Distribution | 12.1282 | 1.23463 |
| LR_7[cache_size=0.1,treshold=0.8] | 5.18877 | 0.104549 |
| LR_7[cache_size=0.01,treshold=0.8] | 6.87683 | 0.0684527 |
| LR_7[cache_size=0.01,treshold=0.9] | 1.34513 | 0.0341523 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_7[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.8] | 0.000315886 | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.8] | 1.55786e-05 | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.8] | 0.000427203 | -4.93515e-05 |
| LR_7[cache_size=0.1,treshold=0.9] | 0.000531545 | -0.000280511 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 0.00680156 | -0.00104729 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 0.0114865 | -0.00152992 |
| LR_7[cache_size=0.2,treshold=0.8] | 4.65984 | -0.0117823 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.8] | 16.3308 | -0.0158914 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 1.26179 | -0.118577 |
| LR_7[cache_size=0.4,treshold=0.8] | 6.83317 | -0.150485 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 4.13316 | -0.435678 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 36.366 | -1.00922 |
| LR_7[cache_size=0.01,treshold=0.7] | 28.6839 | -1.01845 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 9.09984 | -1.02295 |
| LR_7[cache_size=0.4,treshold=0.7] | 28.9199 | -1.05688 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 9.68884 | -1.09927 |
| LR_7[cache_size=0.2,treshold=0.7] | 29.8321 | -1.10608 |
| LR_7[cache_size=0.1,treshold=0.7] | 30.4274 | -1.21774 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7606 | -1.48959 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 48.3463 | -2.09183 |
| LR_7[cache_size=0.01,treshold=0.6] | 46.1229 | -2.44125 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 37.1935 | -2.90359 |
| LR_7[cache_size=0.4,treshold=0.6] | 47.084 | -2.9458 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | 56.4771 | -3.02322 |
| LR_7[cache_size=0.1,treshold=0.6] | 47.822 | -3.21605 |
| LR_7[cache_size=0.2,treshold=0.6] | 47.7012 | -3.22569 |
| LR_7[cache_size=0.01,treshold=0.5] | 58.0713 | -3.69388 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 53.9037 | -3.90478 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 38.7353 | -4.40228 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | 67.7968 | -4.58505 |
| LR_7[cache_size=0.1,treshold=0.5] | 59.2233 | -5.06717 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 39.6709 | -5.11214 |
| LR_7[cache_size=0.4,treshold=0.5] | 59.514 | -5.15563 |
| LR_7[cache_size=0.2,treshold=0.5] | 59.3682 | -5.35865 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | 63.6488 | -5.60567 |
| LR_7[cache_size=0.01,treshold=0.3] | 72.9017 | -5.65936 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 41.0759 | -5.77332 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 63.9266 | -5.77488 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2212 | -5.79959 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 56.4676 | -7.40403 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 59.9715 | -7.70577 |
| LR_7[cache_size=0.1,treshold=0.3] | 73.4674 | -8.15211 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 85.2454 | -8.40882 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 75.78 | -8.56731 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 59.7971 | -8.81409 |
| LR_7[cache_size=0.2,treshold=0.3] | 73.8544 | -9.12527 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | 66.875 | -9.47742 |
| LR_7[cache_size=0.4,treshold=0.3] | 74.2236 | -9.51692 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | 59.2666 | -9.68346 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 59.6494 | -9.7766 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 81.2538 | -12.555 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 83.6089 | -12.6307 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 82.5787 | -14.597 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4236 | -16.3581 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6168 | -16.4154 |
Cache Size 0.01
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 42.0861 | 0.362449 |
| Zipf Optimal Distribution | 8.83002 | 0.192773 |
| LR_7[cache_size=0.01,treshold=0.8] | 6.87683 | 0.0684527 |
| LR_7[cache_size=0.01,treshold=0.9] | 1.34513 | 0.0341523 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.8] | 0.000427203 | -4.93515e-05 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 0.0114865 | -0.00152992 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.8] | 16.3308 | -0.0158914 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 36.366 | -1.00922 |
| LR_7[cache_size=0.01,treshold=0.7] | 28.6839 | -1.01845 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 48.3463 | -2.09183 |
| LR_7[cache_size=0.01,treshold=0.6] | 46.1229 | -2.44125 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 37.1935 | -2.90359 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | 56.4771 | -3.02322 |
| LR_7[cache_size=0.01,treshold=0.5] | 58.0713 | -3.69388 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | 67.7968 | -4.58505 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | 63.6488 | -5.60567 |
| LR_7[cache_size=0.01,treshold=0.3] | 72.9017 | -5.65936 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 85.2454 | -8.40882 |
Cache Size 0.1
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.0216 | 1.84971 |
| Zipf Optimal Distribution | 13.1079 | 0.901478 |
| LR_7[cache_size=0.1,treshold=0.8] | 5.18877 | 0.104549 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.8] | 1.55786e-05 | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_7[cache_size=0.1,treshold=0.9] | 0.000531545 | -0.000280511 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 1.26179 | -0.118577 |
| LR_7[cache_size=0.1,treshold=0.7] | 30.4274 | -1.21774 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7606 | -1.48959 |
| LR_7[cache_size=0.1,treshold=0.6] | 47.822 | -3.21605 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 53.9037 | -3.90478 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 38.7353 | -4.40228 |
| LR_7[cache_size=0.1,treshold=0.5] | 59.2233 | -5.06717 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 63.9266 | -5.77488 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 59.9715 | -7.70577 |
| LR_7[cache_size=0.1,treshold=0.3] | 73.4674 | -8.15211 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 75.78 | -8.56731 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 83.6089 | -12.6307 |
Cache Size 0.2
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.2203 | 3.56227 |
| Zipf Optimal Distribution | 15.0252 | 1.67385 |
| LR_7[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.8] | 0.000315886 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 0.00680156 | -0.00104729 |
| LR_7[cache_size=0.2,treshold=0.8] | 4.65984 | -0.0117823 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 4.13316 | -0.435678 |
| LR_7[cache_size=0.2,treshold=0.7] | 29.8321 | -1.10608 |
| LR_7[cache_size=0.2,treshold=0.6] | 47.7012 | -3.22569 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 39.6709 | -5.11214 |
| LR_7[cache_size=0.2,treshold=0.5] | 59.3682 | -5.35865 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 56.4676 | -7.40403 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 59.7971 | -8.81409 |
| LR_7[cache_size=0.2,treshold=0.3] | 73.8544 | -9.12527 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | 66.875 | -9.47742 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 81.2538 | -12.555 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 82.5787 | -14.597 |
Cache Size 0.4
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.458 | 7.79849 |
| Zipf Optimal Distribution | 17.0787 | 3.33504 |
| LR_7[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7[cache_size=0.4,treshold=0.8] | 6.83317 | -0.150485 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 9.09984 | -1.02295 |
| LR_7[cache_size=0.4,treshold=0.7] | 28.9199 | -1.05688 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 9.68884 | -1.09927 |
| LR_7[cache_size=0.4,treshold=0.6] | 47.084 | -2.9458 |
| LR_7[cache_size=0.4,treshold=0.5] | 59.514 | -5.15563 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 41.0759 | -5.77332 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2212 | -5.79959 |
| LR_7[cache_size=0.4,treshold=0.3] | 74.2236 | -9.51692 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | 59.2666 | -9.68346 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 59.6494 | -9.7766 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4236 | -16.3581 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6168 | -16.4154 |
Cache Size All
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.0175 | 1.84941 |
| Zipf Optimal Distribution | 13.1121 | 0.902408 |
| LR_7[cache_size=0.1,treshold=0.8] | 5.18922 | 0.104761 |
| LR_7[cache_size=0.01,treshold=0.8] | 6.879 | 0.0693389 |
| LR_7[cache_size=0.01,treshold=0.9] | 1.34701 | 0.0340449 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_7[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.8] | 0.000319889 | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.8] | 0.000430919 | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.8] | 9.73649e-06 | 0 |
| LR_7[cache_size=0.1,treshold=0.9] | 0.000525669 | -0.000467327 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 0.00681926 | -0.00130859 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 0.0111867 | -0.00148085 |
| LR_7[cache_size=0.2,treshold=0.8] | 4.66176 | -0.0124353 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.8] | 16.3313 | -0.0153021 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 1.26404 | -0.118793 |
| LR_7[cache_size=0.4,treshold=0.8] | 6.84329 | -0.157828 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 4.13037 | -0.436007 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 36.3718 | -1.011 |
| LR_7[cache_size=0.01,treshold=0.7] | 28.6851 | -1.0189 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 9.09161 | -1.02382 |
| LR_7[cache_size=0.4,treshold=0.7] | 28.9118 | -1.0552 |
| LR_7[cache_size=0.2,treshold=0.7] | 29.8348 | -1.10351 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 9.68025 | -1.10456 |
| LR_7[cache_size=0.1,treshold=0.7] | 30.4225 | -1.21703 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7615 | -1.48797 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 48.3529 | -2.0911 |
| LR_7[cache_size=0.01,treshold=0.6] | 46.1218 | -2.44002 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 37.195 | -2.90345 |
| LR_7[cache_size=0.4,treshold=0.6] | 47.0885 | -2.94612 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | 56.4821 | -3.02186 |
| LR_7[cache_size=0.1,treshold=0.6] | 47.8263 | -3.21626 |
| LR_7[cache_size=0.2,treshold=0.6] | 47.7035 | -3.22357 |
| LR_7[cache_size=0.01,treshold=0.5] | 58.0668 | -3.69557 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 53.9124 | -3.90363 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 38.741 | -4.40196 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | 67.7885 | -4.58171 |
| LR_7[cache_size=0.1,treshold=0.5] | 59.2247 | -5.06612 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 39.6686 | -5.11221 |
| LR_7[cache_size=0.4,treshold=0.5] | 59.5067 | -5.15518 |
| LR_7[cache_size=0.2,treshold=0.5] | 59.3645 | -5.35646 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | 63.656 | -5.60483 |
| LR_7[cache_size=0.01,treshold=0.3] | 72.9019 | -5.65663 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 63.9337 | -5.77175 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 41.0723 | -5.77653 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2187 | -5.80283 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 56.4672 | -7.40246 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 59.9793 | -7.70458 |
| LR_7[cache_size=0.1,treshold=0.3] | 73.4736 | -8.14887 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 85.2447 | -8.40943 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 75.7855 | -8.56651 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 59.7959 | -8.81335 |
| LR_7[cache_size=0.2,treshold=0.3] | 73.856 | -9.12554 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | 66.8721 | -9.48085 |
| LR_7[cache_size=0.4,treshold=0.3] | 74.2211 | -9.51555 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | 59.2741 | -9.68488 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 59.6452 | -9.78019 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 81.2525 | -12.5537 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 83.6057 | -12.6318 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 82.5759 | -14.598 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4182 | -16.3686 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6126 | -16.4254 |
Cache Size 0.01
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 42.0861 | 0.361512 |
| Zipf Optimal Distribution | 8.82408 | 0.192718 |
| LR_7[cache_size=0.01,treshold=0.8] | 6.879 | 0.0693389 |
| LR_7[cache_size=0.01,treshold=0.9] | 1.34701 | 0.0340449 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.8] | 0.000430919 | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 0.0111867 | -0.00148085 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.8] | 16.3313 | -0.0153021 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 36.3718 | -1.011 |
| LR_7[cache_size=0.01,treshold=0.7] | 28.6851 | -1.0189 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 48.3529 | -2.0911 |
| LR_7[cache_size=0.01,treshold=0.6] | 46.1218 | -2.44002 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 37.195 | -2.90345 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | 56.4821 | -3.02186 |
| LR_7[cache_size=0.01,treshold=0.5] | 58.0668 | -3.69557 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | 67.7885 | -4.58171 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | 63.656 | -5.60483 |
| LR_7[cache_size=0.01,treshold=0.3] | 72.9019 | -5.65663 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 85.2447 | -8.40943 |
Cache Size 0.1
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.0175 | 1.84941 |
| Zipf Optimal Distribution | 13.1121 | 0.902408 |
| LR_7[cache_size=0.1,treshold=0.8] | 5.18922 | 0.104761 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.8] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.8] | 9.73649e-06 | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.9] | 0 | 0 |
| LR_7[cache_size=0.1,treshold=0.9] | 0.000525669 | -0.000467327 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 1.26404 | -0.118793 |
| LR_7[cache_size=0.1,treshold=0.7] | 30.4225 | -1.21703 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7615 | -1.48797 |
| LR_7[cache_size=0.1,treshold=0.6] | 47.8263 | -3.21626 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 53.9124 | -3.90363 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 38.741 | -4.40196 |
| LR_7[cache_size=0.1,treshold=0.5] | 59.2247 | -5.06612 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 63.9337 | -5.77175 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 59.9793 | -7.70458 |
| LR_7[cache_size=0.1,treshold=0.3] | 73.4736 | -8.14887 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 75.7855 | -8.56651 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 83.6057 | -12.6318 |
Cache Size 0.2
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.2233 | 3.56334 |
| Zipf Optimal Distribution | 15.0351 | 1.67163 |
| LR_7[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.8] | 0.000319889 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 0.00681926 | -0.00130859 |
| LR_7[cache_size=0.2,treshold=0.8] | 4.66176 | -0.0124353 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 4.13037 | -0.436007 |
| LR_7[cache_size=0.2,treshold=0.7] | 29.8348 | -1.10351 |
| LR_7[cache_size=0.2,treshold=0.6] | 47.7035 | -3.22357 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 39.6686 | -5.11221 |
| LR_7[cache_size=0.2,treshold=0.5] | 59.3645 | -5.35646 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 56.4672 | -7.40246 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 59.7959 | -8.81335 |
| LR_7[cache_size=0.2,treshold=0.3] | 73.856 | -9.12554 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | 66.8721 | -9.48085 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 81.2525 | -12.5537 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 82.5759 | -14.598 |
Cache Size 0.4
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.46 | 7.8007 |
| Zipf Optimal Distribution | 17.0793 | 3.33616 |
| LR_7[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.8] | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.9] | 0 | 0 |
| LR_7[cache_size=0.4,treshold=0.8] | 6.84329 | -0.157828 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 9.09161 | -1.02382 |
| LR_7[cache_size=0.4,treshold=0.7] | 28.9118 | -1.0552 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 9.68025 | -1.10456 |
| LR_7[cache_size=0.4,treshold=0.6] | 47.0885 | -2.94612 |
| LR_7[cache_size=0.4,treshold=0.5] | 59.5067 | -5.15518 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 41.0723 | -5.77653 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2187 | -5.80283 |
| LR_7[cache_size=0.4,treshold=0.3] | 74.2211 | -9.51555 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | 59.2741 | -9.68488 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 59.6452 | -9.78019 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4182 | -16.3686 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6126 | -16.4254 |
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
Treshold: 0.5
All
precision recall f1-score support
0 0.84 0.64 0.72 28055468
1 0.64 0.84 0.73 21729815
accuracy 0.73 49785283
macro avg 0.74 0.74 0.73 49785283
weighted avg 0.75 0.73 0.73 49785283
Accuracy: 0.726206618128494
precision recall f1-score support
0 0.84 0.64 0.72 28055468
1 0.64 0.84 0.73 21729815
accuracy 0.73 49785283
macro avg 0.74 0.74 0.73 49785283
weighted avg 0.75 0.73 0.73 49785283
Accuracy: 0.7262065980422368
0-1%
precision recall f1-score support
0 0.84 0.65 0.73 27764588
1 0.58 0.80 0.67 17098553
accuracy 0.70 44863141
macro avg 0.71 0.72 0.70 44863141
weighted avg 0.74 0.70 0.71 44863141
Accuracy: 0.7031807469744483
precision recall f1-score support
0 0.84 0.65 0.73 27764588
1 0.58 0.80 0.67 17098553
accuracy 0.70 44863141
macro avg 0.71 0.72 0.70 44863141
weighted avg 0.74 0.70 0.71 44863141
Accuracy: 0.7031807246844353
1-10%
precision recall f1-score support
0 0.09 0.01 0.02 287564
1 0.94 0.99 0.96 4164787
accuracy 0.93 4452351
macro avg 0.51 0.50 0.49 4452351
weighted avg 0.88 0.93 0.90 4452351
Accuracy: 0.9303529753157377
precision recall f1-score support
0 0.84 0.64 0.72 28052152
1 0.64 0.83 0.72 21263340
accuracy 0.72 49315492
macro avg 0.74 0.74 0.72 49315492
weighted avg 0.75 0.72 0.72 49315492
Accuracy: 0.7236905392731355
10-20%
precision recall f1-score support
0 0.84 0.64 0.72 28054607
1 0.64 0.84 0.73 21520956
accuracy 0.73 49575563
macro avg 0.74 0.74 0.73 49575563
weighted avg 0.75 0.73 0.73 49575563
Accuracy: 0.7250804393285458
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: 0.988637718161579
20-40%
precision recall f1-score support
0 0.84 0.64 0.72 28055266
1 0.64 0.84 0.73 21651524
accuracy 0.73 49706790
macro avg 0.74 0.74 0.73 49706790
weighted avg 0.75 0.73 0.73 49706790
Accuracy: 0.7257862959969855
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: 0.9924482004465545
40-80%
precision recall f1-score support
0 0.84 0.64 0.72 28055435
1 0.64 0.84 0.73 21716758
accuracy 0.73 49772193
macro avg 0.74 0.74 0.73 49772193
weighted avg 0.75 0.73 0.73 49772193
Accuracy: 0.7261369214734018
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 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: 0.9926150176597404
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: 0.9928242621175196
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 0.50 0.50 5704
weighted avg 0.99 0.99 0.99 5704
Accuracy: 0.9891304347826086
Treshold: 0.6
All
precision recall f1-score support
0 0.77 0.75 0.76 28055468
1 0.69 0.72 0.70 21729815
accuracy 0.74 49785283
macro avg 0.73 0.73 0.73 49785283
weighted avg 0.74 0.74 0.74 49785283
Accuracy: 0.7355653276089643
0-1%
precision recall f1-score support
0 0.78 0.76 0.77 27764588
1 0.62 0.65 0.64 17098553
accuracy 0.72 44863141
macro avg 0.70 0.70 0.70 44863141
weighted avg 0.72 0.72 0.72 44863141
Accuracy: 0.7159792266885637
1-10%
precision recall f1-score support
0 0.09 0.05 0.06 287564
1 0.94 0.97 0.95 4164787
accuracy 0.91 4452351
macro avg 0.51 0.51 0.51 4452351
weighted avg 0.88 0.91 0.89 4452351
Accuracy: 0.9077972513847179
10-20%
precision recall f1-score support
0 0.01 0.02 0.01 2455
1 0.99 0.99 0.99 257616
accuracy 0.98 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.98 0.98 260071
Accuracy: 0.9765948529440037
20-40%
precision recall f1-score support
0 0.01 0.03 0.01 659
1 1.00 0.98 0.99 130568
accuracy 0.97 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.97 0.98 131227
Accuracy: 0.9748755972475177
40-80%
precision recall f1-score support
0 0.00 0.05 0.01 169
1 1.00 0.97 0.98 65234
accuracy 0.96 65403
macro avg 0.50 0.51 0.49 65403
weighted avg 0.99 0.96 0.98 65403
Accuracy: 0.9638854486797241
80-90%
precision recall f1-score support
0 0.00 0.07 0.01 15
1 1.00 0.96 0.98 7371
accuracy 0.95 7386
macro avg 0.50 0.51 0.49 7386
weighted avg 1.00 0.95 0.97 7386
Accuracy: 0.9545085296506904
90-100%
precision recall f1-score support
0 0.00 0.06 0.01 18
1 1.00 0.95 0.97 5686
accuracy 0.95 5704
macro avg 0.50 0.50 0.49 5704
weighted avg 0.99 0.95 0.97 5704
Accuracy: 0.9491584852734923
Treshold: 0.7
All
precision recall f1-score support
0 0.69 0.88 0.77 28055468
1 0.76 0.50 0.60 21729815
accuracy 0.71 49785283
macro avg 0.73 0.69 0.69 49785283
weighted avg 0.72 0.71 0.70 49785283
Accuracy: 0.7110544294786875
0-1%
precision recall f1-score support
0 0.70 0.88 0.78 27764588
1 0.68 0.39 0.50 17098553
accuracy 0.70 44863141
macro avg 0.69 0.64 0.64 44863141
weighted avg 0.69 0.70 0.67 44863141
Accuracy: 0.6968400406917563
1-10%
precision recall f1-score support
0 0.08 0.16 0.11 287564
1 0.94 0.88 0.91 4164787
accuracy 0.83 4452351
macro avg 0.51 0.52 0.51 4452351
weighted avg 0.88 0.83 0.86 4452351
Accuracy: 0.8325159000267499
10-20%
precision recall f1-score support
0 0.01 0.06 0.02 2455
1 0.99 0.94 0.97 257616
accuracy 0.93 260071
macro avg 0.50 0.50 0.49 260071
weighted avg 0.98 0.93 0.96 260071
Accuracy: 0.934371767709587
20-40%
precision recall f1-score support
0 0.01 0.10 0.01 659
1 1.00 0.92 0.95 130568
accuracy 0.91 131227
macro avg 0.50 0.51 0.48 131227
weighted avg 0.99 0.91 0.95 131227
Accuracy: 0.9129371242198633
40-80%
precision recall f1-score support
0 0.00 0.17 0.01 169
1 1.00 0.87 0.93 65234
accuracy 0.87 65403
macro avg 0.50 0.52 0.47 65403
weighted avg 0.99 0.87 0.93 65403
Accuracy: 0.8724676238093054
80-90%
precision recall f1-score support
0 0.00 0.13 0.00 15
1 1.00 0.85 0.92 7371
accuracy 0.85 7386
macro avg 0.50 0.49 0.46 7386
weighted avg 1.00 0.85 0.92 7386
Accuracy: 0.8479555916598971
90-100%
precision recall f1-score support
0 0.01 0.33 0.01 18
1 1.00 0.85 0.92 5686
accuracy 0.85 5704
macro avg 0.50 0.59 0.47 5704
weighted avg 0.99 0.85 0.91 5704
Accuracy: 0.8467741935483871
Treshold: 0.8
All
precision recall f1-score support
0 0.60 0.99 0.75 28055468
1 0.90 0.16 0.27 21729815
accuracy 0.62 49785283
macro avg 0.75 0.57 0.51 49785283
weighted avg 0.73 0.62 0.54 49785283
Accuracy: 0.623849602301146
0-1%
precision recall f1-score support
0 0.63 0.99 0.77 27764588
1 0.78 0.05 0.10 17098553
accuracy 0.63 44863141
macro avg 0.70 0.52 0.43 44863141
weighted avg 0.69 0.63 0.51 44863141
Accuracy: 0.6327755785088699
1-10%
precision recall f1-score support
0 0.07 0.56 0.13 287564
1 0.94 0.52 0.67 4164787
accuracy 0.53 4452351
macro avg 0.51 0.54 0.40 4452351
weighted avg 0.89 0.53 0.64 4452351
Accuracy: 0.5269303790289669
10-20%
precision recall f1-score support
0 0.01 0.24 0.02 2455
1 0.99 0.76 0.86 257616
accuracy 0.76 260071
macro avg 0.50 0.50 0.44 260071
weighted avg 0.98 0.76 0.85 260071
Accuracy: 0.7580468410549427
20-40%
precision recall f1-score support
0 0.01 0.36 0.01 659
1 1.00 0.67 0.80 130568
accuracy 0.66 131227
macro avg 0.50 0.51 0.40 131227
weighted avg 0.99 0.66 0.79 131227
Accuracy: 0.6645354995542075
40-80%
precision recall f1-score support
0 0.00 0.51 0.01 169
1 1.00 0.52 0.69 65234
accuracy 0.52 65403
macro avg 0.50 0.52 0.35 65403
weighted avg 0.99 0.52 0.68 65403
Accuracy: 0.5224072290261914
80-90%
precision recall f1-score support
0 0.00 0.47 0.00 15
1 1.00 0.43 0.60 7371
accuracy 0.43 7386
macro avg 0.50 0.45 0.30 7386
weighted avg 1.00 0.43 0.60 7386
Accuracy: 0.4309504467912266
90-100%
precision recall f1-score support
0 0.00 0.56 0.01 18
1 1.00 0.43 0.60 5686
accuracy 0.43 5704
macro avg 0.50 0.49 0.30 5704
weighted avg 0.99 0.43 0.60 5704
Accuracy: 0.42934782608695654
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.73 28055468
1 0.95 0.03 0.06 21729815
accuracy 0.58 49785283
macro avg 0.76 0.51 0.39 49785283
weighted avg 0.74 0.58 0.44 49785283
Accuracy: 0.5762185784903543
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.55 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.58 0.50 0.38 44863141
weighted avg 0.59 0.62 0.47 44863141
Accuracy: 0.6189122602895771
1-10%
precision recall f1-score support
0 0.07 0.92 0.13 287564
1 0.96 0.14 0.24 4164787
accuracy 0.19 4452351
macro avg 0.51 0.53 0.18 4452351
weighted avg 0.90 0.19 0.23 4452351
Accuracy: 0.18617085670020175
10-20%
precision recall f1-score support
0 0.01 0.69 0.02 2455
1 0.99 0.30 0.46 257616
accuracy 0.31 260071
macro avg 0.50 0.50 0.24 260071
weighted avg 0.98 0.31 0.46 260071
Accuracy: 0.30700078055607893
20-40%
precision recall f1-score support
0 0.00 0.90 0.01 659
1 0.99 0.09 0.16 130568
accuracy 0.09 131227
macro avg 0.50 0.49 0.08 131227
weighted avg 0.99 0.09 0.16 131227
Accuracy: 0.08976811174529632
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 1.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.50 0.50 0.00 65403
weighted avg 1.00 0.00 0.00 65403
Accuracy: 0.004648104826995704
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.92 0.48 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
Treshold: 0.5
All
precision recall f1-score support
0 0.83 0.64 0.73 26119367
1 0.66 0.85 0.74 21615229
accuracy 0.73 47734596
macro avg 0.75 0.74 0.73 47734596
weighted avg 0.76 0.73 0.73 47734596
Accuracy: 0.7341488131584899
precision recall f1-score support
0 0.83 0.64 0.73 26119367
1 0.66 0.85 0.74 21615229
accuracy 0.73 47734596
macro avg 0.75 0.74 0.73 47734596
weighted avg 0.76 0.73 0.73 47734596
Accuracy: 0.7341488131584899
0-1%
precision recall f1-score support
0 0.97 0.91 0.94 12053010
1 0.10 0.23 0.14 508421
accuracy 0.88 12561431
macro avg 0.53 0.57 0.54 12561431
weighted avg 0.93 0.88 0.90 12561431
Accuracy: 0.8825039121737006
precision recall f1-score support
0 0.97 0.91 0.94 12053010
1 0.10 0.23 0.14 508421
accuracy 0.88 12561431
macro avg 0.53 0.57 0.54 12561431
weighted avg 0.93 0.88 0.90 12561431
Accuracy: 0.8825039121737006
1-10%
precision recall f1-score support
0 0.84 0.66 0.74 25421477
1 0.58 0.79 0.67 14975241
accuracy 0.71 40396718
macro avg 0.71 0.72 0.70 40396718
weighted avg 0.74 0.71 0.71 40396718
Accuracy: 0.7066286919645304
precision recall f1-score support
0 0.68 0.43 0.53 13368467
1 0.61 0.81 0.69 14466820
accuracy 0.63 27835287
macro avg 0.64 0.62 0.61 27835287
weighted avg 0.64 0.63 0.61 27835287
Accuracy: 0.6272601751869847
10-20%
precision recall f1-score support
0 0.84 0.65 0.73 25924842
1 0.62 0.82 0.71 18362515
accuracy 0.72 44287357
macro avg 0.73 0.73 0.72 44287357
weighted avg 0.75 0.72 0.72 44287357
Accuracy: 0.7193548488341718
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: 0.851491233188173
20-40%
precision recall f1-score support
0 0.84 0.64 0.73 26072330
1 0.65 0.84 0.73 20332940
accuracy 0.73 46405270
macro avg 0.74 0.74 0.73 46405270
weighted avg 0.75 0.73 0.73 46405270
Accuracy: 0.7281251461310321
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: 0.9115195005649429
40-80%
precision recall f1-score support
0 0.83 0.64 0.73 26113946
1 0.66 0.84 0.74 21397219
accuracy 0.73 47511165
macro avg 0.75 0.74 0.73 47511165
weighted avg 0.76 0.73 0.73 47511165
Accuracy: 0.7331112802643337
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: 0.9423381062397425
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: 0.9538601696281724
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: 0.9559233361839127
Treshold: 0.6
All
precision recall f1-score support
0 0.77 0.74 0.76 26119367
1 0.70 0.74 0.72 21615229
accuracy 0.74 47734596
macro avg 0.74 0.74 0.74 47734596
weighted avg 0.74 0.74 0.74 47734596
Accuracy: 0.7409564124099846
0-1%
precision recall f1-score support
0 0.96 0.95 0.96 12053010
1 0.11 0.15 0.13 508421
accuracy 0.92 12561431
macro avg 0.54 0.55 0.54 12561431
weighted avg 0.93 0.92 0.92 12561431
Accuracy: 0.9175185534195905
1-10%
precision recall f1-score support
0 0.62 0.59 0.61 13368467
1 0.64 0.67 0.65 14466820
accuracy 0.63 27835287
macro avg 0.63 0.63 0.63 27835287
weighted avg 0.63 0.63 0.63 27835287
Accuracy: 0.6313560194295823
10-20%
precision recall f1-score support
0 0.18 0.11 0.14 503365
1 0.88 0.93 0.90 3387274
accuracy 0.82 3890639
macro avg 0.53 0.52 0.52 3890639
weighted avg 0.79 0.82 0.80 3890639
Accuracy: 0.8202835061284277
20-40%
precision recall f1-score support
0 0.10 0.09 0.10 147488
1 0.93 0.94 0.94 1970425
accuracy 0.88 2117913
macro avg 0.52 0.52 0.52 2117913
weighted avg 0.87 0.88 0.88 2117913
Accuracy: 0.8809167326514357
40-80%
precision recall f1-score support
0 0.06 0.09 0.07 41616
1 0.96 0.94 0.95 1064279
accuracy 0.91 1105895
macro avg 0.51 0.52 0.51 1105895
weighted avg 0.93 0.91 0.92 1105895
Accuracy: 0.9104318221892675
80-90%
precision recall f1-score support
0 0.04 0.10 0.06 3093
1 0.98 0.94 0.96 120943
accuracy 0.92 124036
macro avg 0.51 0.52 0.51 124036
weighted avg 0.95 0.92 0.94 124036
Accuracy: 0.9208778096681609
90-100%
precision recall f1-score support
0 0.04 0.10 0.06 2328
1 0.98 0.94 0.96 97067
accuracy 0.92 99395
macro avg 0.51 0.52 0.51 99395
weighted avg 0.96 0.92 0.94 99395
Accuracy: 0.9229538709190603
Treshold: 0.7
All
precision recall f1-score support
0 0.69 0.86 0.77 26119367
1 0.76 0.54 0.63 21615229
accuracy 0.71 47734596
macro avg 0.73 0.70 0.70 47734596
weighted avg 0.72 0.71 0.71 47734596
Accuracy: 0.7148622981956315
0-1%
precision recall f1-score support
0 0.96 0.98 0.97 12053010
1 0.15 0.08 0.10 508421
accuracy 0.95 12561431
macro avg 0.56 0.53 0.54 12561431
weighted avg 0.93 0.95 0.94 12561431
Accuracy: 0.9455314446260144
1-10%
precision recall f1-score support
0 0.56 0.78 0.65 13368467
1 0.68 0.43 0.53 14466820
accuracy 0.60 27835287
macro avg 0.62 0.60 0.59 27835287
weighted avg 0.62 0.60 0.59 27835287
Accuracy: 0.5979200430015326
10-20%
precision recall f1-score support
0 0.17 0.28 0.21 503365
1 0.88 0.79 0.84 3387274
accuracy 0.73 3890639
macro avg 0.53 0.54 0.52 3890639
weighted avg 0.79 0.73 0.76 3890639
Accuracy: 0.7282690581161604
20-40%
precision recall f1-score support
0 0.10 0.23 0.14 147488
1 0.94 0.83 0.88 1970425
accuracy 0.79 2117913
macro avg 0.52 0.53 0.51 2117913
weighted avg 0.88 0.79 0.83 2117913
Accuracy: 0.7927138650171183
40-80%
precision recall f1-score support
0 0.05 0.23 0.09 41616
1 0.97 0.84 0.90 1064279
accuracy 0.82 1105895
macro avg 0.51 0.53 0.49 1105895
weighted avg 0.93 0.82 0.87 1105895
Accuracy: 0.8195850419795732
80-90%
precision recall f1-score support
0 0.04 0.24 0.06 3093
1 0.98 0.84 0.90 120943
accuracy 0.82 124036
macro avg 0.51 0.54 0.48 124036
weighted avg 0.95 0.82 0.88 124036
Accuracy: 0.8249137347221774
90-100%
precision recall f1-score support
0 0.03 0.23 0.06 2328
1 0.98 0.84 0.90 97067
accuracy 0.83 99395
macro avg 0.51 0.53 0.48 99395
weighted avg 0.96 0.83 0.88 99395
Accuracy: 0.8263393530861713
Treshold: 0.8
All
precision recall f1-score support
0 0.58 0.98 0.73 26119367
1 0.85 0.15 0.26 21615229
accuracy 0.60 47734596
macro avg 0.72 0.56 0.49 47734596
weighted avg 0.70 0.60 0.52 47734596
Accuracy: 0.6038039161366318
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.25 0.01 0.02 508421
accuracy 0.96 12561431
macro avg 0.60 0.50 0.50 12561431
weighted avg 0.93 0.96 0.94 12561431
Accuracy: 0.9588727590033334
1-10%
precision recall f1-score support
0 0.49 0.97 0.65 13368467
1 0.72 0.07 0.12 14466820
accuracy 0.50 27835287
macro avg 0.60 0.52 0.39 27835287
weighted avg 0.61 0.50 0.38 27835287
Accuracy: 0.501558687000425
10-20%
precision recall f1-score support
0 0.14 0.77 0.23 503365
1 0.89 0.27 0.41 3387274
accuracy 0.33 3890639
macro avg 0.51 0.52 0.32 3890639
weighted avg 0.79 0.33 0.39 3890639
Accuracy: 0.33381920039356006
20-40%
precision recall f1-score support
0 0.07 0.63 0.13 147488
1 0.94 0.41 0.57 1970425
accuracy 0.43 2117913
macro avg 0.51 0.52 0.35 2117913
weighted avg 0.88 0.43 0.54 2117913
Accuracy: 0.4275987729429868
40-80%
precision recall f1-score support
0 0.04 0.59 0.08 41616
1 0.97 0.46 0.62 1064279
accuracy 0.46 1105895
macro avg 0.50 0.52 0.35 1105895
weighted avg 0.93 0.46 0.60 1105895
Accuracy: 0.4609424945406209
80-90%
precision recall f1-score support
0 0.03 0.60 0.05 3093
1 0.98 0.46 0.62 120943
accuracy 0.46 124036
macro avg 0.50 0.53 0.34 124036
weighted avg 0.95 0.46 0.61 124036
Accuracy: 0.45997936083072655
90-100%
precision recall f1-score support
0 0.02 0.57 0.05 2328
1 0.98 0.45 0.62 97067
accuracy 0.46 99395
macro avg 0.50 0.51 0.33 99395
weighted avg 0.96 0.46 0.61 99395
Accuracy: 0.4557271492529805
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471723275923399
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.95949999645741
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.92 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
Treshold: 0.5
All
precision recall f1-score support
0 0.83 0.65 0.73 24893266
1 0.66 0.85 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: 0.7366780416056622
precision recall f1-score support
0 0.83 0.65 0.73 24893266
1 0.66 0.85 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: 0.7366780416056622
0-1%
precision recall f1-score support
0 1.00 0.98 0.99 4873589
1 0.01 0.11 0.01 3872
accuracy 0.98 4877461
macro avg 0.50 0.55 0.50 4877461
weighted avg 1.00 0.98 0.99 4877461
Accuracy: 0.9834707033023944
precision recall f1-score support
0 1.00 0.98 0.99 4873589
1 0.01 0.11 0.01 3872
accuracy 0.98 4877461
macro avg 0.50 0.55 0.50 4877461
weighted avg 1.00 0.98 0.99 4877461
Accuracy: 0.9834707033023944
1-10%
precision recall f1-score support
0 0.81 0.65 0.72 16949103
1 0.48 0.69 0.56 8016772
accuracy 0.66 24965875
macro avg 0.65 0.67 0.64 24965875
weighted avg 0.71 0.66 0.67 24965875
Accuracy: 0.6595340239426818
precision recall f1-score support
0 0.86 0.72 0.79 21822692
1 0.48 0.69 0.56 8020644
accuracy 0.71 29843336
macro avg 0.67 0.70 0.67 29843336
weighted avg 0.76 0.71 0.73 29843336
Accuracy: 0.7124767820862923
10-20%
precision recall f1-score support
0 0.85 0.67 0.75 23880186
1 0.57 0.79 0.66 13481800
accuracy 0.71 37361986
macro avg 0.71 0.73 0.71 37361986
weighted avg 0.75 0.71 0.72 37361986
Accuracy: 0.712518065822304
precision recall f1-score support
0 0.42 0.13 0.19 2057494
1 0.74 0.93 0.83 5461156
accuracy 0.71 7518650
macro avg 0.58 0.53 0.51 7518650
weighted avg 0.65 0.71 0.65 7518650
Accuracy: 0.7126819309317497
20-40%
precision recall f1-score support
0 0.84 0.65 0.73 24625160
1 0.63 0.83 0.71 17542339
accuracy 0.72 42167499
macro avg 0.73 0.74 0.72 42167499
weighted avg 0.75 0.72 0.73 42167499
Accuracy: 0.7247401606625994
precision recall f1-score support
0 0.25 0.08 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: 0.8197647160667342
40-80%
precision recall f1-score support
0 0.16 0.08 0.10 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: 0.8847226368945804
precision recall f1-score support
0 0.84 0.65 0.73 24861069
1 0.66 0.84 0.74 20026114
accuracy 0.73 44887183
macro avg 0.75 0.74 0.73 44887183
weighted avg 0.76 0.73 0.73 44887183
Accuracy: 0.7344333904847626
80-90%
precision recall f1-score support
0 0.12 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: 0.9116280692185483
90-100%
precision recall f1-score support
0 0.10 0.07 0.09 13620
1 0.95 0.96 0.96 240209
accuracy 0.92 253829
macro avg 0.53 0.52 0.52 253829
weighted avg 0.90 0.92 0.91 253829
Accuracy: 0.9162704025150791
Treshold: 0.6
All
precision recall f1-score support
0 0.78 0.75 0.76 24893266
1 0.71 0.74 0.72 20563095
accuracy 0.74 45456361
macro avg 0.74 0.74 0.74 45456361
weighted avg 0.74 0.74 0.74 45456361
Accuracy: 0.7428696503004277
0-1%
precision recall f1-score support
0 1.00 0.99 1.00 4873589
1 0.01 0.07 0.02 3872
accuracy 0.99 4877461
macro avg 0.50 0.53 0.51 4877461
weighted avg 1.00 0.99 1.00 4877461
Accuracy: 0.9929291079928676
1-10%
precision recall f1-score support
0 0.77 0.77 0.77 16949103
1 0.51 0.52 0.52 8016772
accuracy 0.69 24965875
macro avg 0.64 0.64 0.64 24965875
weighted avg 0.69 0.69 0.69 24965875
Accuracy: 0.6879438032914929
10-20%
precision recall f1-score support
0 0.40 0.26 0.32 2057494
1 0.75 0.85 0.80 5461156
accuracy 0.69 7518650
macro avg 0.57 0.56 0.56 7518650
weighted avg 0.66 0.69 0.67 7518650
Accuracy: 0.6884778517420016
20-40%
precision recall f1-score support
0 0.24 0.18 0.20 744974
1 0.86 0.90 0.88 4060539
accuracy 0.79 4805513
macro avg 0.55 0.54 0.54 4805513
weighted avg 0.76 0.79 0.77 4805513
Accuracy: 0.7854501694199975
40-80%
precision recall f1-score support
0 0.14 0.15 0.15 235909
1 0.92 0.91 0.92 2483775
accuracy 0.85 2719684
macro avg 0.53 0.53 0.53 2719684
weighted avg 0.85 0.85 0.85 2719684
Accuracy: 0.8462534617992384
80-90%
precision recall f1-score support
0 0.10 0.15 0.12 18577
1 0.94 0.92 0.93 296772
accuracy 0.87 315349
macro avg 0.52 0.53 0.52 315349
weighted avg 0.90 0.87 0.88 315349
Accuracy: 0.8718816295596308
90-100%
precision recall f1-score support
0 0.09 0.14 0.11 13620
1 0.95 0.92 0.93 240209
accuracy 0.88 253829
macro avg 0.52 0.53 0.52 253829
weighted avg 0.90 0.88 0.89 253829
Accuracy: 0.8771850340189655
Treshold: 0.7
All
precision recall f1-score support
0 0.70 0.86 0.77 24893266
1 0.76 0.54 0.63 20563095
accuracy 0.72 45456361
macro avg 0.73 0.70 0.70 45456361
weighted avg 0.73 0.72 0.71 45456361
Accuracy: 0.7165491095954646
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.02 0.03 0.03 3872
accuracy 1.00 4877461
macro avg 0.51 0.52 0.51 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9978880405194424
1-10%
precision recall f1-score support
0 0.73 0.89 0.80 16949103
1 0.56 0.29 0.38 8016772
accuracy 0.70 24965875
macro avg 0.64 0.59 0.59 24965875
weighted avg 0.67 0.70 0.67 24965875
Accuracy: 0.6978752397021935
10-20%
precision recall f1-score support
0 0.34 0.52 0.41 2057494
1 0.78 0.63 0.69 5461156
accuracy 0.60 7518650
macro avg 0.56 0.57 0.55 7518650
weighted avg 0.66 0.60 0.62 7518650
Accuracy: 0.5972331469080221
20-40%
precision recall f1-score support
0 0.22 0.38 0.28 744974
1 0.87 0.75 0.80 4060539
accuracy 0.69 4805513
macro avg 0.54 0.56 0.54 4805513
weighted avg 0.77 0.69 0.72 4805513
Accuracy: 0.6909695177185037
40-80%
precision recall f1-score support
0 0.13 0.33 0.19 235909
1 0.93 0.79 0.85 2483775
accuracy 0.75 2719684
macro avg 0.53 0.56 0.52 2719684
weighted avg 0.86 0.75 0.79 2719684
Accuracy: 0.7465668805640655
80-90%
precision recall f1-score support
0 0.09 0.31 0.14 18577
1 0.95 0.80 0.87 296772
accuracy 0.77 315349
macro avg 0.52 0.56 0.50 315349
weighted avg 0.90 0.77 0.82 315349
Accuracy: 0.7704860329349388
90-100%
precision recall f1-score support
0 0.08 0.31 0.13 13620
1 0.95 0.80 0.87 240209
accuracy 0.78 253829
macro avg 0.52 0.56 0.50 253829
weighted avg 0.91 0.78 0.83 253829
Accuracy: 0.7770625105878367
Treshold: 0.8
All
precision recall f1-score support
0 0.59 0.97 0.73 24893266
1 0.83 0.17 0.28 20563095
accuracy 0.61 45456361
macro avg 0.71 0.57 0.51 45456361
weighted avg 0.69 0.61 0.53 45456361
Accuracy: 0.6077220083675418
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.05 0.00 0.01 3872
accuracy 1.00 4877461
macro avg 0.52 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9991612439340878
1-10%
precision recall f1-score support
0 0.69 0.98 0.81 16949103
1 0.62 0.06 0.11 8016772
accuracy 0.69 24965875
macro avg 0.65 0.52 0.46 24965875
weighted avg 0.67 0.69 0.59 24965875
Accuracy: 0.6862760468038873
10-20%
precision recall f1-score support
0 0.28 0.90 0.43 2057494
1 0.79 0.15 0.25 5461156
accuracy 0.35 7518650
macro avg 0.54 0.52 0.34 7518650
weighted avg 0.66 0.35 0.30 7518650
Accuracy: 0.3530327917910795
20-40%
precision recall f1-score support
0 0.17 0.81 0.28 744974
1 0.88 0.26 0.40 4060539
accuracy 0.34 4805513
macro avg 0.52 0.53 0.34 4805513
weighted avg 0.77 0.34 0.38 4805513
Accuracy: 0.3438069983371182
40-80%
precision recall f1-score support
0 0.10 0.72 0.17 235909
1 0.93 0.36 0.52 2483775
accuracy 0.39 2719684
macro avg 0.51 0.54 0.35 2719684
weighted avg 0.86 0.39 0.49 2719684
Accuracy: 0.39309125619005736
80-90%
precision recall f1-score support
0 0.07 0.68 0.12 18577
1 0.95 0.41 0.57 296772
accuracy 0.42 315349
macro avg 0.51 0.54 0.35 315349
weighted avg 0.90 0.42 0.54 315349
Accuracy: 0.42294410319994674
90-100%
precision recall f1-score support
0 0.06 0.67 0.11 13620
1 0.96 0.42 0.58 240209
accuracy 0.43 253829
macro avg 0.51 0.54 0.35 253829
weighted avg 0.91 0.43 0.55 253829
Accuracy: 0.4295056908391082
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.92 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
Treshold: 0.5
All
precision recall f1-score support
0 0.85 0.66 0.74 22531902
1 0.65 0.84 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: 0.7380616072753698
precision recall f1-score support
0 0.85 0.66 0.74 22531902
1 0.65 0.84 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: 0.738061632610684
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
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 0.94 0.89 0.91 12989887
1 0.27 0.42 0.33 1271288
accuracy 0.85 14261175
macro avg 0.61 0.65 0.62 14261175
weighted avg 0.88 0.85 0.86 14261175
Accuracy: 0.848070232642121
precision recall f1-score support
0 0.93 0.88 0.90 11439888
1 0.27 0.42 0.33 1271288
accuracy 0.83 12711176
macro avg 0.60 0.65 0.62 12711176
weighted avg 0.87 0.83 0.85 12711176
Accuracy: 0.829544095683987
10-20%
precision recall f1-score support
0 0.89 0.77 0.83 18034328
1 0.46 0.68 0.54 5083660
accuracy 0.75 23117988
macro avg 0.68 0.72 0.69 23117988
weighted avg 0.80 0.75 0.77 23117988
Accuracy: 0.751271780225857
precision recall f1-score support
0 0.72 0.47 0.57 5044441
1 0.52 0.76 0.62 3812372
accuracy 0.60 8856813
macro avg 0.62 0.62 0.59 8856813
weighted avg 0.64 0.60 0.59 8856813
Accuracy: 0.5954075128378571
20-40%
precision recall f1-score support
0 0.55 0.23 0.33 2995598
1 0.69 0.90 0.78 5583215
accuracy 0.67 8578813
macro avg 0.62 0.57 0.55 8578813
weighted avg 0.64 0.67 0.62 8578813
Accuracy: 0.6660275728122294
40-80%
precision recall f1-score support
0 0.85 0.66 0.75 22324987
1 0.64 0.83 0.72 15668439
accuracy 0.73 37993426
macro avg 0.74 0.75 0.73 37993426
weighted avg 0.76 0.73 0.74 37993426
Accuracy: 0.7347993834512317
precision recall f1-score support
0 0.36 0.17 0.23 1295061
1 0.81 0.92 0.86 5001564
accuracy 0.77 6296625
macro avg 0.59 0.55 0.55 6296625
weighted avg 0.72 0.77 0.73 6296625
Accuracy: 0.7680190578285987
80-90%
precision recall f1-score support
0 0.28 0.16 0.20 117971
1 0.87 0.93 0.90 692761
accuracy 0.82 810732
macro avg 0.57 0.54 0.55 810732
weighted avg 0.78 0.82 0.80 810732
Accuracy: 0.8174316543568034
90-100%
precision recall f1-score support
0 0.26 0.15 0.19 88944
1 0.88 0.93 0.90 577496
accuracy 0.83 666440
macro avg 0.57 0.54 0.55 666440
weighted avg 0.79 0.83 0.81 666440
Accuracy: 0.8274863453574215
Treshold: 0.6
All
precision recall f1-score support
0 0.79 0.76 0.77 22531902
1 0.69 0.74 0.72 16938696
accuracy 0.75 39470598
macro avg 0.74 0.75 0.74 39470598
weighted avg 0.75 0.75 0.75 39470598
Accuracy: 0.7480667761861627
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999993548382935
1-10%
precision recall f1-score support
0 0.92 0.93 0.92 11439888
1 0.31 0.30 0.30 1271288
accuracy 0.86 12711176
macro avg 0.62 0.61 0.61 12711176
weighted avg 0.86 0.86 0.86 12711176
Accuracy: 0.8637388074872066
10-20%
precision recall f1-score support
0 0.68 0.64 0.66 5044441
1 0.56 0.60 0.58 3812372
accuracy 0.63 8856813
macro avg 0.62 0.62 0.62 8856813
weighted avg 0.63 0.63 0.63 8856813
Accuracy: 0.6256980925305751
20-40%
precision recall f1-score support
0 0.52 0.40 0.45 2995598
1 0.71 0.80 0.76 5583215
accuracy 0.66 8578813
macro avg 0.62 0.60 0.60 8578813
weighted avg 0.65 0.66 0.65 8578813
Accuracy: 0.6613833405623831
40-80%
precision recall f1-score support
0 0.34 0.30 0.32 1295061
1 0.82 0.85 0.84 5001564
accuracy 0.74 6296625
macro avg 0.58 0.57 0.58 6296625
weighted avg 0.72 0.74 0.73 6296625
Accuracy: 0.7355556349631747
80-90%
precision recall f1-score support
0 0.25 0.28 0.27 117971
1 0.88 0.86 0.87 692761
accuracy 0.77 810732
macro avg 0.56 0.57 0.57 810732
weighted avg 0.78 0.77 0.78 810732
Accuracy: 0.774581489320762
90-100%
precision recall f1-score support
0 0.24 0.27 0.25 88944
1 0.89 0.86 0.87 577496
accuracy 0.78 666440
macro avg 0.56 0.57 0.56 666440
weighted avg 0.80 0.78 0.79 666440
Accuracy: 0.7839235340015606
Treshold: 0.7
All
precision recall f1-score support
0 0.72 0.86 0.78 22531902
1 0.75 0.55 0.64 16938696
accuracy 0.73 39470598
macro avg 0.74 0.71 0.71 39470598
weighted avg 0.73 0.73 0.72 39470598
Accuracy: 0.7295214782405881
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.91 0.97 0.94 11439888
1 0.37 0.17 0.24 1271288
accuracy 0.89 12711176
macro avg 0.64 0.57 0.59 12711176
weighted avg 0.86 0.89 0.87 12711176
Accuracy: 0.8877049613662812
10-20%
precision recall f1-score support
0 0.64 0.82 0.71 5044441
1 0.61 0.38 0.47 3812372
accuracy 0.63 8856813
macro avg 0.62 0.60 0.59 8856813
weighted avg 0.62 0.63 0.61 8856813
Accuracy: 0.6289794082815117
20-40%
precision recall f1-score support
0 0.46 0.64 0.54 2995598
1 0.76 0.60 0.67 5583215
accuracy 0.62 8578813
macro avg 0.61 0.62 0.60 8578813
weighted avg 0.65 0.62 0.62 8578813
Accuracy: 0.6154488971842608
40-80%
precision recall f1-score support
0 0.30 0.53 0.39 1295061
1 0.85 0.68 0.76 5001564
accuracy 0.65 6296625
macro avg 0.58 0.61 0.57 6296625
weighted avg 0.74 0.65 0.68 6296625
Accuracy: 0.6527049014352927
80-90%
precision recall f1-score support
0 0.22 0.50 0.31 117971
1 0.89 0.70 0.79 692761
accuracy 0.67 810732
macro avg 0.56 0.60 0.55 810732
weighted avg 0.79 0.67 0.72 810732
Accuracy: 0.6739526748666637
90-100%
precision recall f1-score support
0 0.21 0.49 0.29 88944
1 0.90 0.71 0.79 577496
accuracy 0.68 666440
macro avg 0.55 0.60 0.54 666440
weighted avg 0.81 0.68 0.73 666440
Accuracy: 0.6813351539523438
Treshold: 0.8
All
precision recall f1-score support
0 0.62 0.96 0.76 22531902
1 0.82 0.23 0.36 16938696
accuracy 0.65 39470598
macro avg 0.72 0.60 0.56 39470598
weighted avg 0.71 0.65 0.59 39470598
Accuracy: 0.6486970377291978
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 0.99 0.95 11439888
1 0.47 0.06 0.10 1271288
accuracy 0.90 12711176
macro avg 0.69 0.52 0.52 12711176
weighted avg 0.86 0.90 0.86 12711176
Accuracy: 0.8992394566796966
10-20%
precision recall f1-score support
0 0.59 0.95 0.73 5044441
1 0.68 0.13 0.22 3812372
accuracy 0.60 8856813
macro avg 0.64 0.54 0.48 8856813
weighted avg 0.63 0.60 0.51 8856813
Accuracy: 0.5995312309292293
20-40%
precision recall f1-score support
0 0.39 0.90 0.54 2995598
1 0.81 0.23 0.36 5583215
accuracy 0.47 8578813
macro avg 0.60 0.57 0.45 8578813
weighted avg 0.66 0.47 0.43 8578813
Accuracy: 0.4669942100381486
40-80%
precision recall f1-score support
0 0.24 0.84 0.38 1295061
1 0.89 0.32 0.47 5001564
accuracy 0.43 6296625
macro avg 0.56 0.58 0.42 6296625
weighted avg 0.75 0.43 0.45 6296625
Accuracy: 0.42776217418061263
80-90%
precision recall f1-score support
0 0.18 0.82 0.29 117971
1 0.92 0.35 0.50 692761
accuracy 0.42 810732
macro avg 0.55 0.58 0.40 810732
weighted avg 0.81 0.42 0.47 810732
Accuracy: 0.41582668502045067
90-100%
precision recall f1-score support
0 0.16 0.81 0.27 88944
1 0.92 0.36 0.51 577496
accuracy 0.42 666440
macro avg 0.54 0.58 0.39 666440
weighted avg 0.82 0.42 0.48 666440
Accuracy: 0.41608546905948024
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
LR_7_decay_rtime
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.93 0.55 0.69 28055468
1 0.62 0.95 0.75 21729815
accuracy 0.73 49785283
macro avg 0.78 0.75 0.72 49785283
weighted avg 0.80 0.73 0.72 49785283
Accuracy: 0.7257623703776074
0-1%
precision recall f1-score support
0 0.93 0.56 0.70 27764588
1 0.57 0.93 0.70 17098553
accuracy 0.70 44863141
macro avg 0.75 0.75 0.70 44863141
weighted avg 0.79 0.70 0.70 44863141
Accuracy: 0.7021582149141096
1-10%
precision recall f1-score support
0 0.00 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.47 0.50 0.48 4452351
weighted avg 0.87 0.94 0.90 4452351
Accuracy: 0.9354129986607076
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
Treshold: 0.5
All
precision recall f1-score support
0 0.87 0.69 0.77 28055468
1 0.68 0.87 0.76 21729815
accuracy 0.77 49785283
macro avg 0.78 0.78 0.77 49785283
weighted avg 0.79 0.77 0.77 49785283
Accuracy: 0.7663399844488179
precision recall f1-score support
0 0.87 0.69 0.77 28055468
1 0.68 0.87 0.76 21729815
accuracy 0.77 49785283
macro avg 0.78 0.78 0.77 49785283
weighted avg 0.79 0.77 0.77 49785283
Accuracy: 0.7663399643625607
0-1%
precision recall f1-score support
0 0.87 0.69 0.77 27764588
1 0.63 0.83 0.72 17098553
accuracy 0.75 44863141
macro avg 0.75 0.76 0.74 44863141
weighted avg 0.78 0.75 0.75 44863141
Accuracy: 0.7471877860714211
precision recall f1-score support
0 0.87 0.69 0.77 27764588
1 0.63 0.83 0.72 17098553
accuracy 0.75 44863141
macro avg 0.75 0.76 0.74 44863141
weighted avg 0.78 0.75 0.75 44863141
Accuracy: 0.7471877637814079
1-10%
precision recall f1-score support
0 0.00 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.47 0.50 0.48 4452351
weighted avg 0.87 0.94 0.90 4452351
Accuracy: 0.9354129986607076
precision recall f1-score support
0 0.87 0.69 0.77 28052152
1 0.68 0.87 0.76 21263340
accuracy 0.76 49315492
macro avg 0.77 0.78 0.76 49315492
weighted avg 0.79 0.76 0.76 49315492
Accuracy: 0.7641813246028246
10-20%
precision recall f1-score support
0 0.87 0.69 0.77 28054607
1 0.68 0.87 0.76 21520956
accuracy 0.77 49575563
macro avg 0.78 0.78 0.77 49575563
weighted avg 0.79 0.77 0.77 49575563
Accuracy: 0.765368897575606
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.87 0.69 0.77 28055266
1 0.68 0.87 0.76 21651524
accuracy 0.77 49706790
macro avg 0.78 0.78 0.77 49706790
weighted avg 0.79 0.77 0.77 49706790
Accuracy: 0.7659750710114251
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.87 0.69 0.77 28055435
1 0.68 0.87 0.76 21716758
accuracy 0.77 49772193
macro avg 0.78 0.78 0.77 49772193
weighted avg 0.79 0.77 0.77 49772193
Accuracy: 0.7662791952928415
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
Treshold: 0.6
All
precision recall f1-score support
0 0.83 0.76 0.79 28055468
1 0.72 0.80 0.76 21729815
accuracy 0.78 49785283
macro avg 0.77 0.78 0.78 49785283
weighted avg 0.78 0.78 0.78 49785283
Accuracy: 0.7768952523580112
0-1%
precision recall f1-score support
0 0.83 0.77 0.80 27764588
1 0.66 0.74 0.70 17098553
accuracy 0.76 44863141
macro avg 0.75 0.76 0.75 44863141
weighted avg 0.77 0.76 0.76 44863141
Accuracy: 0.7589012993985419
1-10%
precision recall f1-score support
0 0.17 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.55 0.50 0.48 4452351
weighted avg 0.89 0.94 0.90 4452351
Accuracy: 0.9354112018571761
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
Treshold: 0.7
All
precision recall f1-score support
0 0.76 0.85 0.81 28055468
1 0.78 0.66 0.71 21729815
accuracy 0.77 49785283
macro avg 0.77 0.76 0.76 49785283
weighted avg 0.77 0.77 0.77 49785283
Accuracy: 0.7690147307187146
0-1%
precision recall f1-score support
0 0.76 0.86 0.81 27764588
1 0.72 0.57 0.63 17098553
accuracy 0.75 44863141
macro avg 0.74 0.72 0.72 44863141
weighted avg 0.75 0.75 0.74 44863141
Accuracy: 0.7502416070243499
1-10%
precision recall f1-score support
0 0.11 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.93 4452351
macro avg 0.52 0.50 0.48 4452351
weighted avg 0.88 0.93 0.90 4452351
Accuracy: 0.9345509821665003
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905487347685824
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
Treshold: 0.8
All
precision recall f1-score support
0 0.66 0.96 0.78 28055468
1 0.87 0.35 0.50 21729815
accuracy 0.69 49785283
macro avg 0.76 0.66 0.64 49785283
weighted avg 0.75 0.69 0.66 49785283
Accuracy: 0.6938841544799494
0-1%
precision recall f1-score support
0 0.67 0.97 0.79 27764588
1 0.79 0.21 0.33 17098553
accuracy 0.68 44863141
macro avg 0.73 0.59 0.56 44863141
weighted avg 0.71 0.68 0.61 44863141
Accuracy: 0.6780533266718887
1-10%
precision recall f1-score support
0 0.08 0.16 0.11 287564
1 0.94 0.87 0.90 4164787
accuracy 0.83 4452351
macro avg 0.51 0.52 0.51 4452351
weighted avg 0.88 0.83 0.85 4452351
Accuracy: 0.8276360062358067
10-20%
precision recall f1-score support
0 0.01 0.07 0.02 2455
1 0.99 0.94 0.97 257616
accuracy 0.93 260071
macro avg 0.50 0.51 0.49 260071
weighted avg 0.98 0.93 0.96 260071
Accuracy: 0.9337411706803143
20-40%
precision recall f1-score support
0 0.01 0.06 0.01 659
1 1.00 0.95 0.97 130568
accuracy 0.94 131227
macro avg 0.50 0.51 0.49 131227
weighted avg 0.99 0.94 0.97 131227
Accuracy: 0.9424661083466055
40-80%
precision recall f1-score support
0 0.00 0.09 0.01 169
1 1.00 0.95 0.97 65234
accuracy 0.94 65403
macro avg 0.50 0.52 0.49 65403
weighted avg 0.99 0.94 0.97 65403
Accuracy: 0.9445744079017782
80-90%
precision recall f1-score support
0 0.00 0.07 0.01 15
1 1.00 0.95 0.97 7371
accuracy 0.95 7386
macro avg 0.50 0.51 0.49 7386
weighted avg 1.00 0.95 0.97 7386
Accuracy: 0.9471974004874086
90-100%
precision recall f1-score support
0 0.00 0.06 0.01 18
1 1.00 0.95 0.97 5686
accuracy 0.95 5704
macro avg 0.50 0.50 0.49 5704
weighted avg 0.99 0.95 0.97 5704
Accuracy: 0.9468793828892006
Treshold: 0.9
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.93 0.49 0.64 26119367
1 0.61 0.95 0.74 21615229
accuracy 0.70 47734596
macro avg 0.77 0.72 0.69 47734596
weighted avg 0.78 0.70 0.69 47734596
Accuracy: 0.7020437336476043
0-1%
precision recall f1-score support
0 0.98 0.88 0.92 12053010
1 0.15 0.51 0.23 508421
accuracy 0.86 12561431
macro avg 0.56 0.69 0.58 12561431
weighted avg 0.94 0.86 0.90 12561431
Accuracy: 0.8613169948551244
1-10%
precision recall f1-score support
0 0.76 0.17 0.28 13368467
1 0.55 0.95 0.70 14466820
accuracy 0.58 27835287
macro avg 0.66 0.56 0.49 27835287
weighted avg 0.65 0.58 0.50 27835287
Accuracy: 0.5768599404058596
10-20%
precision recall f1-score support
0 0.19 0.00 0.00 503365
1 0.87 1.00 0.93 3387274
accuracy 0.87 3890639
macro avg 0.53 0.50 0.47 3890639
weighted avg 0.78 0.87 0.81 3890639
Accuracy: 0.8696427502011881
20-40%
precision recall f1-score support
0 0.09 0.00 0.00 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.51 0.50 0.48 2117913
weighted avg 0.87 0.93 0.90 2117913
Accuracy: 0.9300230934887316
40-80%
precision recall f1-score support
0 0.04 0.00 0.00 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.50 0.50 0.49 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.96225952735115
80-90%
precision recall f1-score support
0 0.25 0.00 0.00 3093
1 0.98 1.00 0.99 120943
accuracy 0.98 124036
macro avg 0.61 0.50 0.49 124036
weighted avg 0.96 0.98 0.96 124036
Accuracy: 0.9750475668354349
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.98 99395
macro avg 0.49 0.50 0.49 99395
weighted avg 0.95 0.98 0.96 99395
Accuracy: 0.9765581769706726
Treshold: 0.5
All
precision recall f1-score support
0 0.85 0.64 0.73 26119367
1 0.66 0.87 0.75 21615229
accuracy 0.74 47734596
macro avg 0.76 0.75 0.74 47734596
weighted avg 0.77 0.74 0.74 47734596
Accuracy: 0.7410423668401844
precision recall f1-score support
0 0.85 0.64 0.73 26119367
1 0.66 0.87 0.75 21615229
accuracy 0.74 47734596
macro avg 0.76 0.75 0.74 47734596
weighted avg 0.77 0.74 0.74 47734596
Accuracy: 0.7410423668401844
0-1%
precision recall f1-score support
0 0.97 0.95 0.96 12053010
1 0.19 0.26 0.22 508421
accuracy 0.93 12561431
macro avg 0.58 0.61 0.59 12561431
weighted avg 0.94 0.93 0.93 12561431
Accuracy: 0.9262818065871635
precision recall f1-score support
0 0.97 0.95 0.96 12053010
1 0.19 0.26 0.22 508421
accuracy 0.93 12561431
macro avg 0.58 0.61 0.59 12561431
weighted avg 0.94 0.93 0.93 12561431
Accuracy: 0.9262818065871635
1-10%
precision recall f1-score support
0 0.86 0.65 0.74 25421477
1 0.58 0.82 0.68 14975241
accuracy 0.71 40396718
macro avg 0.72 0.73 0.71 40396718
weighted avg 0.76 0.71 0.72 40396718
Accuracy: 0.7132848019980237
precision recall f1-score support
0 0.68 0.38 0.49 13368467
1 0.59 0.84 0.69 14466820
accuracy 0.62 27835287
macro avg 0.64 0.61 0.59 27835287
weighted avg 0.64 0.62 0.60 27835287
Accuracy: 0.6171641054033321
10-20%
precision recall f1-score support
0 0.85 0.64 0.73 25924842
1 0.63 0.85 0.72 18362515
accuracy 0.73 44287357
macro avg 0.74 0.74 0.73 44287357
weighted avg 0.76 0.73 0.73 44287357
Accuracy: 0.7257807007991016
precision recall f1-score support
0 0.17 0.03 0.05 503365
1 0.87 0.98 0.92 3387274
accuracy 0.86 3890639
macro avg 0.52 0.50 0.49 3890639
weighted avg 0.78 0.86 0.81 3890639
Accuracy: 0.855526303005753
20-40%
precision recall f1-score support
0 0.09 0.01 0.02 147488
1 0.93 0.99 0.96 1970425
accuracy 0.92 2117913
macro avg 0.51 0.50 0.49 2117913
weighted avg 0.87 0.92 0.89 2117913
Accuracy: 0.9222607349782546
40-80%
precision recall f1-score support
0 0.85 0.64 0.73 26113946
1 0.66 0.87 0.75 21397219
accuracy 0.74 47511165
macro avg 0.76 0.75 0.74 47511165
weighted avg 0.77 0.74 0.74 47511165
Accuracy: 0.7399509146955248
precision recall f1-score support
0 0.05 0.01 0.01 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.51 0.50 0.50 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9582763282228421
80-90%
precision recall f1-score support
0 0.03 0.00 0.01 3093
1 0.98 1.00 0.99 120943
accuracy 0.97 124036
macro avg 0.50 0.50 0.50 124036
weighted avg 0.95 0.97 0.96 124036
Accuracy: 0.9721774323583475
90-100%
precision recall f1-score support
0 0.02 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.97 99395
macro avg 0.50 0.50 0.50 99395
weighted avg 0.95 0.97 0.96 99395
Accuracy: 0.974324664218522
Treshold: 0.6
All
precision recall f1-score support
0 0.80 0.72 0.76 26119367
1 0.70 0.78 0.74 21615229
accuracy 0.75 47734596
macro avg 0.75 0.75 0.75 47734596
weighted avg 0.75 0.75 0.75 47734596
Accuracy: 0.7475041791492275
0-1%
precision recall f1-score support
0 0.96 0.98 0.97 12053010
1 0.22 0.15 0.18 508421
accuracy 0.94 12561431
macro avg 0.59 0.56 0.57 12561431
weighted avg 0.93 0.94 0.94 12561431
Accuracy: 0.9442320703747845
1-10%
precision recall f1-score support
0 0.63 0.52 0.57 13368467
1 0.62 0.72 0.67 14466820
accuracy 0.63 27835287
macro avg 0.63 0.62 0.62 27835287
weighted avg 0.63 0.63 0.62 27835287
Accuracy: 0.6252407959723929
10-20%
precision recall f1-score support
0 0.16 0.07 0.10 503365
1 0.87 0.94 0.91 3387274
accuracy 0.83 3890639
macro avg 0.51 0.51 0.50 3890639
weighted avg 0.78 0.83 0.80 3890639
Accuracy: 0.8300199530205706
20-40%
precision recall f1-score support
0 0.09 0.03 0.05 147488
1 0.93 0.97 0.95 1970425
accuracy 0.91 2117913
macro avg 0.51 0.50 0.50 2117913
weighted avg 0.87 0.91 0.89 2117913
Accuracy: 0.9069602953473538
40-80%
precision recall f1-score support
0 0.05 0.02 0.03 41616
1 0.96 0.99 0.97 1064279
accuracy 0.95 1105895
macro avg 0.51 0.50 0.50 1105895
weighted avg 0.93 0.95 0.94 1105895
Accuracy: 0.9500739220269555
80-90%
precision recall f1-score support
0 0.03 0.01 0.02 3093
1 0.98 0.99 0.98 120943
accuracy 0.97 124036
macro avg 0.50 0.50 0.50 124036
weighted avg 0.95 0.97 0.96 124036
Accuracy: 0.9668967074075269
90-100%
precision recall f1-score support
0 0.03 0.01 0.01 2328
1 0.98 0.99 0.98 97067
accuracy 0.97 99395
macro avg 0.50 0.50 0.50 99395
weighted avg 0.95 0.97 0.96 99395
Accuracy: 0.9695055083253685
Treshold: 0.7
All
precision recall f1-score support
0 0.69 0.84 0.76 26119367
1 0.74 0.54 0.62 21615229
accuracy 0.70 47734596
macro avg 0.71 0.69 0.69 47734596
weighted avg 0.71 0.70 0.70 47734596
Accuracy: 0.7039990869515267
0-1%
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.25 0.06 0.09 508421
accuracy 0.95 12561431
macro avg 0.60 0.52 0.53 12561431
weighted avg 0.93 0.95 0.94 12561431
Accuracy: 0.9548778319922309
1-10%
precision recall f1-score support
0 0.56 0.73 0.63 13368467
1 0.65 0.48 0.55 14466820
accuracy 0.60 27835287
macro avg 0.61 0.60 0.59 27835287
weighted avg 0.61 0.60 0.59 27835287
Accuracy: 0.5969808394646694
10-20%
precision recall f1-score support
0 0.15 0.37 0.21 503365
1 0.88 0.69 0.78 3387274
accuracy 0.65 3890639
macro avg 0.52 0.53 0.50 3890639
weighted avg 0.79 0.65 0.70 3890639
Accuracy: 0.6523319177132599
20-40%
precision recall f1-score support
0 0.08 0.33 0.13 147488
1 0.94 0.73 0.82 1970425
accuracy 0.70 2117913
macro avg 0.51 0.53 0.48 2117913
weighted avg 0.88 0.70 0.77 2117913
Accuracy: 0.7008588171468799
40-80%
precision recall f1-score support
0 0.05 0.31 0.08 41616
1 0.97 0.74 0.84 1064279
accuracy 0.73 1105895
macro avg 0.51 0.53 0.46 1105895
weighted avg 0.93 0.73 0.81 1105895
Accuracy: 0.7286134759629078
80-90%
precision recall f1-score support
0 0.03 0.31 0.06 3093
1 0.98 0.75 0.85 120943
accuracy 0.74 124036
macro avg 0.50 0.53 0.45 124036
weighted avg 0.95 0.74 0.83 124036
Accuracy: 0.7386000838466251
90-100%
precision recall f1-score support
0 0.03 0.29 0.05 2328
1 0.98 0.75 0.85 97067
accuracy 0.74 99395
macro avg 0.50 0.52 0.45 99395
weighted avg 0.96 0.74 0.83 99395
Accuracy: 0.7406609990442176
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.82 0.01 0.03 21615229
accuracy 0.55 47734596
macro avg 0.68 0.51 0.37 47734596
weighted avg 0.67 0.55 0.40 47734596
Accuracy: 0.552428033537772
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.50 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.73 0.50 0.49 12561431
weighted avg 0.94 0.96 0.94 12561431
Accuracy: 0.9595251528269351
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.72 0.01 0.02 14466820
accuracy 0.48 27835287
macro avg 0.60 0.50 0.33 27835287
weighted avg 0.60 0.48 0.32 27835287
Accuracy: 0.4832352905145185
10-20%
precision recall f1-score support
0 0.13 0.98 0.23 503365
1 0.88 0.02 0.05 3387274
accuracy 0.15 3890639
macro avg 0.51 0.50 0.14 3890639
weighted avg 0.79 0.15 0.07 3890639
Accuracy: 0.14792557212324248
20-40%
precision recall f1-score support
0 0.07 0.97 0.13 147488
1 0.94 0.03 0.06 1970425
accuracy 0.10 2117913
macro avg 0.50 0.50 0.09 2117913
weighted avg 0.88 0.10 0.06 2117913
Accuracy: 0.09554736195490561
40-80%
precision recall f1-score support
0 0.04 0.97 0.07 41616
1 0.97 0.03 0.06 1064279
accuracy 0.07 1105895
macro avg 0.50 0.50 0.07 1105895
weighted avg 0.93 0.07 0.06 1105895
Accuracy: 0.06813757183096045
80-90%
precision recall f1-score support
0 0.03 0.97 0.05 3093
1 0.98 0.03 0.07 120943
accuracy 0.06 124036
macro avg 0.50 0.50 0.06 124036
weighted avg 0.96 0.06 0.07 124036
Accuracy: 0.05759618175368442
90-100%
precision recall f1-score support
0 0.02 0.97 0.05 2328
1 0.98 0.03 0.07 97067
accuracy 0.06 99395
macro avg 0.50 0.50 0.06 99395
weighted avg 0.96 0.06 0.06 99395
Accuracy: 0.055777453594245185
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.91 0.37 0.53 24893266
1 0.56 0.96 0.70 20563095
accuracy 0.64 45456361
macro avg 0.74 0.67 0.62 45456361
weighted avg 0.75 0.64 0.61 45456361
Accuracy: 0.6376305397609808
0-1%
precision recall f1-score support
0 1.00 0.92 0.96 4873589
1 0.01 0.77 0.02 3872
accuracy 0.92 4877461
macro avg 0.50 0.84 0.49 4877461
weighted avg 1.00 0.92 0.96 4877461
Accuracy: 0.9202958260455594
1-10%
precision recall f1-score support
0 0.89 0.28 0.42 16949103
1 0.38 0.93 0.54 8016772
accuracy 0.49 24965875
macro avg 0.64 0.60 0.48 24965875
weighted avg 0.73 0.49 0.46 24965875
Accuracy: 0.4858217867388986
10-20%
precision recall f1-score support
0 0.41 0.06 0.11 2057494
1 0.73 0.97 0.83 5461156
accuracy 0.72 7518650
macro avg 0.57 0.51 0.47 7518650
weighted avg 0.64 0.72 0.63 7518650
Accuracy: 0.7185424245043991
20-40%
precision recall f1-score support
0 0.24 0.04 0.07 744974
1 0.85 0.98 0.91 4060539
accuracy 0.83 4805513
macro avg 0.54 0.51 0.49 4805513
weighted avg 0.75 0.83 0.78 4805513
Accuracy: 0.8308603056531113
40-80%
precision recall f1-score support
0 0.13 0.03 0.05 235909
1 0.91 0.98 0.95 2483775
accuracy 0.90 2719684
macro avg 0.52 0.51 0.50 2719684
weighted avg 0.85 0.90 0.87 2719684
Accuracy: 0.8982889188596911
80-90%
precision recall f1-score support
0 0.09 0.03 0.04 18577
1 0.94 0.98 0.96 296772
accuracy 0.93 315349
macro avg 0.52 0.51 0.50 315349
weighted avg 0.89 0.93 0.91 315349
Accuracy: 0.9262023979781131
90-100%
precision recall f1-score support
0 0.07 0.02 0.04 13620
1 0.95 0.98 0.96 240209
accuracy 0.93 253829
macro avg 0.51 0.50 0.50 253829
weighted avg 0.90 0.93 0.91 253829
Accuracy: 0.9312292921612582
Treshold: 0.5
All
precision recall f1-score support
0 0.81 0.54 0.65 24893266
1 0.60 0.84 0.70 20563095
accuracy 0.68 45456361
macro avg 0.71 0.69 0.68 45456361
weighted avg 0.72 0.68 0.68 45456361
Accuracy: 0.6798656188074536
precision recall f1-score support
0 0.81 0.54 0.65 24893266
1 0.60 0.84 0.70 20563095
accuracy 0.68 45456361
macro avg 0.71 0.69 0.68 45456361
weighted avg 0.72 0.68 0.68 45456361
Accuracy: 0.6798656188074536
0-1%
precision recall f1-score support
0 1.00 0.97 0.98 4873589
1 0.02 0.65 0.03 3872
accuracy 0.97 4877461
macro avg 0.51 0.81 0.51 4877461
weighted avg 1.00 0.97 0.98 4877461
Accuracy: 0.9682488491450777
precision recall f1-score support
0 1.00 0.97 0.98 4873589
1 0.02 0.65 0.03 3872
accuracy 0.97 4877461
macro avg 0.51 0.81 0.51 4877461
weighted avg 1.00 0.97 0.98 4877461
Accuracy: 0.9682488491450777
1-10%
precision recall f1-score support
0 0.85 0.48 0.61 16949103
1 0.43 0.82 0.56 8016772
accuracy 0.59 24965875
macro avg 0.64 0.65 0.59 24965875
weighted avg 0.71 0.59 0.60 24965875
Accuracy: 0.5884618504258312
precision recall f1-score support
0 0.90 0.59 0.71 21822692
1 0.42 0.82 0.56 8020644
accuracy 0.65 29843336
macro avg 0.66 0.70 0.63 29843336
weighted avg 0.77 0.65 0.67 29843336
Accuracy: 0.6505325342984444
10-20%
precision recall f1-score support
0 0.86 0.56 0.68 23880186
1 0.52 0.84 0.64 13481800
accuracy 0.66 37361986
macro avg 0.69 0.70 0.66 37361986
weighted avg 0.73 0.66 0.66 37361986
Accuracy: 0.6582472891028865
precision recall f1-score support
0 0.39 0.25 0.30 2057494
1 0.75 0.86 0.80 5461156
accuracy 0.69 7518650
macro avg 0.57 0.55 0.55 7518650
weighted avg 0.65 0.69 0.66 7518650
Accuracy: 0.688868879386592
20-40%
precision recall f1-score support
0 0.83 0.55 0.66 24625160
1 0.57 0.84 0.68 17542339
accuracy 0.67 42167499
macro avg 0.70 0.69 0.67 42167499
weighted avg 0.72 0.67 0.67 42167499
Accuracy: 0.6699577558536256
precision recall f1-score support
0 0.23 0.22 0.23 744974
1 0.86 0.86 0.86 4060539
accuracy 0.76 4805513
macro avg 0.54 0.54 0.54 4805513
weighted avg 0.76 0.76 0.76 4805513
Accuracy: 0.7610044962941521
40-80%
precision recall f1-score support
0 0.13 0.22 0.16 235909
1 0.92 0.86 0.89 2483775
accuracy 0.80 2719684
macro avg 0.52 0.54 0.53 2719684
weighted avg 0.85 0.80 0.83 2719684
Accuracy: 0.8037933818781888
precision recall f1-score support
0 0.81 0.54 0.65 24861069
1 0.60 0.84 0.70 20026114
accuracy 0.68 44887183
macro avg 0.71 0.69 0.68 44887183
weighted avg 0.72 0.68 0.67 44887183
Accuracy: 0.6780667657402337
80-90%
precision recall f1-score support
0 0.09 0.22 0.12 18577
1 0.95 0.86 0.90 296772
accuracy 0.82 315349
macro avg 0.52 0.54 0.51 315349
weighted avg 0.90 0.82 0.85 315349
Accuracy: 0.8199169808688151
90-100%
precision recall f1-score support
0 0.08 0.22 0.12 13620
1 0.95 0.86 0.90 240209
accuracy 0.82 253829
macro avg 0.52 0.54 0.51 253829
weighted avg 0.90 0.82 0.86 253829
Accuracy: 0.8239838631519645
Treshold: 0.6
All
precision recall f1-score support
0 0.77 0.65 0.70 24893266
1 0.64 0.76 0.70 20563095
accuracy 0.70 45456361
macro avg 0.70 0.70 0.70 45456361
weighted avg 0.71 0.70 0.70 45456361
Accuracy: 0.6992088522000254
0-1%
precision recall f1-score support
0 1.00 0.99 0.99 4873589
1 0.03 0.54 0.06 3872
accuracy 0.99 4877461
macro avg 0.51 0.76 0.53 4877461
weighted avg 1.00 0.99 0.99 4877461
Accuracy: 0.985867237072731
1-10%
precision recall f1-score support
0 0.83 0.60 0.70 16949103
1 0.47 0.73 0.57 8016772
accuracy 0.65 24965875
macro avg 0.65 0.67 0.63 24965875
weighted avg 0.71 0.65 0.66 24965875
Accuracy: 0.6460417269572967
10-20%
precision recall f1-score support
0 0.38 0.37 0.38 2057494
1 0.77 0.78 0.77 5461156
accuracy 0.66 7518650
macro avg 0.57 0.57 0.57 7518650
weighted avg 0.66 0.66 0.66 7518650
Accuracy: 0.6638534843356187
20-40%
precision recall f1-score support
0 0.22 0.35 0.27 744974
1 0.87 0.78 0.82 4060539
accuracy 0.71 4805513
macro avg 0.55 0.56 0.55 4805513
weighted avg 0.77 0.71 0.74 4805513
Accuracy: 0.7115223702443423
40-80%
precision recall f1-score support
0 0.13 0.34 0.19 235909
1 0.93 0.78 0.84 2483775
accuracy 0.74 2719684
macro avg 0.53 0.56 0.51 2719684
weighted avg 0.86 0.74 0.79 2719684
Accuracy: 0.738614486094708
80-90%
precision recall f1-score support
0 0.09 0.34 0.14 18577
1 0.95 0.77 0.85 296772
accuracy 0.75 315349
macro avg 0.52 0.56 0.49 315349
weighted avg 0.90 0.75 0.81 315349
Accuracy: 0.7480061772829468
90-100%
precision recall f1-score support
0 0.08 0.34 0.13 13620
1 0.95 0.77 0.86 240209
accuracy 0.75 253829
macro avg 0.52 0.56 0.49 253829
weighted avg 0.91 0.75 0.82 253829
Accuracy: 0.751572909320842
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.12 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.33 0.50 0.35 45456361
weighted avg 0.35 0.55 0.39 45456361
Accuracy: 0.547599773769836
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992042991220227
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.11 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.39 0.50 0.40 24965875
weighted avg 0.50 0.68 0.55 24965875
Accuracy: 0.6788619265297131
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.17 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.22 0.50 0.21 7518650
weighted avg 0.20 0.27 0.12 7518650
Accuracy: 0.2736177372267628
20-40%
precision recall f1-score support
0 0.15 1.00 0.27 744974
1 0.12 0.00 0.00 4060539
accuracy 0.15 4805513
macro avg 0.14 0.50 0.13 4805513
weighted avg 0.13 0.15 0.04 4805513
Accuracy: 0.15498303719082646
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.05 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.07 0.50 0.08 2719684
weighted avg 0.06 0.09 0.01 2719684
Accuracy: 0.08668433538602278
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.058861769024160536
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.11 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.08 0.50 0.05 253829
weighted avg 0.11 0.05 0.01 253829
Accuracy: 0.05360301620382226
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.03 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.29 0.50 0.35 45456361
weighted avg 0.31 0.55 0.39 45456361
Accuracy: 0.5476286366169962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.03 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.35 0.50 0.40 24965875
weighted avg 0.47 0.68 0.55 24965875
Accuracy: 0.6788895642552084
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.07 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.17 0.50 0.21 7518650
weighted avg 0.13 0.27 0.12 7518650
Accuracy: 0.2736504558664122
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502299130186517
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08673875347282993
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.058906164281478615
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365423178596614
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.85 0.36 0.51 22531902
1 0.52 0.92 0.66 16938696
accuracy 0.60 39470598
macro avg 0.69 0.64 0.59 39470598
weighted avg 0.71 0.60 0.58 39470598
Accuracy: 0.6008507142455759
0-1%
precision recall f1-score support
0 1.00 0.97 0.98 1549999
1 0.00 0.00 0.00 0
accuracy 0.97 1549999
macro avg 0.50 0.48 0.49 1549999
weighted avg 1.00 0.97 0.98 1549999
Accuracy: 0.9673580434568022
1-10%
precision recall f1-score support
0 0.97 0.42 0.59 11439888
1 0.15 0.90 0.25 1271288
accuracy 0.47 12711176
macro avg 0.56 0.66 0.42 12711176
weighted avg 0.89 0.47 0.56 12711176
Accuracy: 0.47111714919217546
10-20%
precision recall f1-score support
0 0.76 0.21 0.33 5044441
1 0.47 0.91 0.62 3812372
accuracy 0.51 8856813
macro avg 0.62 0.56 0.47 8856813
weighted avg 0.64 0.51 0.45 8856813
Accuracy: 0.5128106464481073
20-40%
precision recall f1-score support
0 0.54 0.18 0.27 2995598
1 0.68 0.92 0.78 5583215
accuracy 0.66 8578813
macro avg 0.61 0.55 0.52 8578813
weighted avg 0.63 0.66 0.60 8578813
Accuracy: 0.6608438719902159
40-80%
precision recall f1-score support
0 0.35 0.17 0.23 1295061
1 0.81 0.92 0.86 5001564
accuracy 0.76 6296625
macro avg 0.58 0.54 0.54 6296625
weighted avg 0.72 0.76 0.73 6296625
Accuracy: 0.7649380422051496
80-90%
precision recall f1-score support
0 0.26 0.17 0.20 117971
1 0.87 0.92 0.89 692761
accuracy 0.81 810732
macro avg 0.56 0.54 0.55 810732
weighted avg 0.78 0.81 0.79 810732
Accuracy: 0.8088135166738207
90-100%
precision recall f1-score support
0 0.24 0.17 0.20 88944
1 0.88 0.92 0.90 577496
accuracy 0.82 666440
macro avg 0.56 0.54 0.55 666440
weighted avg 0.79 0.82 0.80 666440
Accuracy: 0.8173233899525839
Treshold: 0.5
All
precision recall f1-score support
0 0.80 0.63 0.70 22531902
1 0.61 0.79 0.69 16938696
accuracy 0.70 39470598
macro avg 0.70 0.71 0.69 39470598
weighted avg 0.72 0.70 0.70 39470598
Accuracy: 0.6950248891592674
precision recall f1-score support
0 0.80 0.63 0.70 22531902
1 0.61 0.79 0.69 16938696
accuracy 0.70 39470598
macro avg 0.70 0.71 0.69 39470598
weighted avg 0.72 0.70 0.70 39470598
Accuracy: 0.6950249144945815
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9992825801823098
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9992825801823098
1-10%
precision recall f1-score support
0 0.97 0.76 0.85 12989887
1 0.24 0.76 0.36 1271288
accuracy 0.76 14261175
macro avg 0.60 0.76 0.61 14261175
weighted avg 0.90 0.76 0.81 14261175
Accuracy: 0.758223778896199
precision recall f1-score support
0 0.96 0.73 0.83 11439888
1 0.24 0.76 0.36 1271288
accuracy 0.73 12711176
macro avg 0.60 0.74 0.59 12711176
weighted avg 0.89 0.73 0.78 12711176
Accuracy: 0.7288291028304541
10-20%
precision recall f1-score support
0 0.92 0.68 0.78 18034328
1 0.41 0.78 0.53 5083660
accuracy 0.70 23117988
macro avg 0.66 0.73 0.66 23117988
weighted avg 0.80 0.70 0.73 23117988
Accuracy: 0.7012975350623073
precision recall f1-score support
0 0.75 0.48 0.58 5044441
1 0.53 0.78 0.63 3812372
accuracy 0.61 8856813
macro avg 0.64 0.63 0.61 8856813
weighted avg 0.65 0.61 0.60 8856813
Accuracy: 0.6096352039949359
20-40%
precision recall f1-score support
0 0.86 0.64 0.73 21029926
1 0.53 0.79 0.63 10666875
accuracy 0.69 31696801
macro avg 0.69 0.71 0.68 31696801
weighted avg 0.74 0.69 0.70 31696801
Accuracy: 0.6908919294410815
precision recall f1-score support
0 0.52 0.42 0.47 2995598
1 0.72 0.79 0.75 5583215
accuracy 0.66 8578813
macro avg 0.62 0.61 0.61 8578813
weighted avg 0.65 0.66 0.65 8578813
Accuracy: 0.6628511426930509
40-80%
precision recall f1-score support
0 0.81 0.63 0.71 22324987
1 0.60 0.79 0.68 15668439
accuracy 0.69 37993426
macro avg 0.70 0.71 0.69 37993426
weighted avg 0.72 0.69 0.70 37993426
Accuracy: 0.6937290414399586
precision recall f1-score support
0 0.33 0.41 0.36 1295061
1 0.84 0.79 0.81 5001564
accuracy 0.71 6296625
macro avg 0.58 0.60 0.59 6296625
weighted avg 0.73 0.71 0.72 6296625
Accuracy: 0.7080108788438251
80-90%
precision recall f1-score support
0 0.24 0.40 0.30 117971
1 0.88 0.78 0.83 692761
accuracy 0.73 810732
macro avg 0.56 0.59 0.56 810732
weighted avg 0.79 0.73 0.75 810732
Accuracy: 0.726632228652625
90-100%
precision recall f1-score support
0 0.22 0.40 0.28 88944
1 0.89 0.78 0.83 577496
accuracy 0.73 666440
macro avg 0.56 0.59 0.56 666440
weighted avg 0.80 0.73 0.76 666440
Accuracy: 0.7304513534601764
Treshold: 0.6
All
precision recall f1-score support
0 0.75 0.77 0.76 22531902
1 0.68 0.65 0.67 16938696
accuracy 0.72 39470598
macro avg 0.71 0.71 0.71 39470598
weighted avg 0.72 0.72 0.72 39470598
Accuracy: 0.7205015996970707
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999799999870967
1-10%
precision recall f1-score support
0 0.95 0.86 0.90 11439888
1 0.33 0.61 0.43 1271288
accuracy 0.84 12711176
macro avg 0.64 0.74 0.66 12711176
weighted avg 0.89 0.84 0.86 12711176
Accuracy: 0.8353681044145719
10-20%
precision recall f1-score support
0 0.71 0.66 0.69 5044441
1 0.59 0.65 0.62 3812372
accuracy 0.66 8856813
macro avg 0.65 0.65 0.65 8856813
weighted avg 0.66 0.66 0.66 8856813
Accuracy: 0.6560412870859981
20-40%
precision recall f1-score support
0 0.49 0.61 0.54 2995598
1 0.76 0.66 0.70 5583215
accuracy 0.64 8578813
macro avg 0.62 0.63 0.62 8578813
weighted avg 0.66 0.64 0.65 8578813
Accuracy: 0.6403670297977121
40-80%
precision recall f1-score support
0 0.30 0.58 0.40 1295061
1 0.86 0.65 0.74 5001564
accuracy 0.64 6296625
macro avg 0.58 0.62 0.57 6296625
weighted avg 0.74 0.64 0.67 6296625
Accuracy: 0.639187977686459
80-90%
precision recall f1-score support
0 0.22 0.58 0.32 117971
1 0.90 0.65 0.75 692761
accuracy 0.64 810732
macro avg 0.56 0.61 0.53 810732
weighted avg 0.80 0.64 0.69 810732
Accuracy: 0.6372574414233063
90-100%
precision recall f1-score support
0 0.20 0.58 0.30 88944
1 0.91 0.65 0.76 577496
accuracy 0.64 666440
macro avg 0.55 0.61 0.53 666440
weighted avg 0.81 0.64 0.69 666440
Accuracy: 0.6373476982173939
Treshold: 0.7
All
precision recall f1-score support
0 0.67 0.91 0.77 22531902
1 0.77 0.40 0.53 16938696
accuracy 0.69 39470598
macro avg 0.72 0.66 0.65 39470598
weighted avg 0.71 0.69 0.67 39470598
Accuracy: 0.6930104023252954
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.93 0.96 0.95 11439888
1 0.52 0.36 0.43 1271288
accuracy 0.90 12711176
macro avg 0.73 0.66 0.69 12711176
weighted avg 0.89 0.90 0.89 12711176
Accuracy: 0.9030441400543899
10-20%
precision recall f1-score support
0 0.65 0.87 0.75 5044441
1 0.69 0.39 0.50 3812372
accuracy 0.66 8856813
macro avg 0.67 0.63 0.62 8856813
weighted avg 0.67 0.66 0.64 8856813
Accuracy: 0.6643612098392503
20-40%
precision recall f1-score support
0 0.42 0.81 0.56 2995598
1 0.80 0.41 0.54 5583215
accuracy 0.55 8578813
macro avg 0.61 0.61 0.55 8578813
weighted avg 0.67 0.55 0.55 8578813
Accuracy: 0.55040703183529
40-80%
precision recall f1-score support
0 0.25 0.78 0.38 1295061
1 0.88 0.41 0.56 5001564
accuracy 0.48 6296625
macro avg 0.57 0.59 0.47 6296625
weighted avg 0.75 0.48 0.52 6296625
Accuracy: 0.48414015444781927
80-90%
precision recall f1-score support
0 0.18 0.77 0.29 117971
1 0.91 0.40 0.56 692761
accuracy 0.46 810732
macro avg 0.54 0.58 0.42 810732
weighted avg 0.80 0.46 0.52 810732
Accuracy: 0.4561112673485196
90-100%
precision recall f1-score support
0 0.16 0.76 0.27 88944
1 0.92 0.40 0.56 577496
accuracy 0.45 666440
macro avg 0.54 0.58 0.42 666440
weighted avg 0.82 0.45 0.52 666440
Accuracy: 0.4510353520196867
Treshold: 0.8
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
LR_7_decay_vtime
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.83 0.25 0.38 28055468
1 0.49 0.94 0.64 21729815
accuracy 0.55 49785283
macro avg 0.66 0.59 0.51 49785283
weighted avg 0.68 0.55 0.50 49785283
Accuracy: 0.5474596579073377
0-1%
precision recall f1-score support
0 0.86 0.25 0.39 27764588
1 0.43 0.94 0.59 17098553
accuracy 0.51 44863141
macro avg 0.65 0.59 0.49 44863141
weighted avg 0.70 0.51 0.46 44863141
Accuracy: 0.5101256730998839
1-10%
precision recall f1-score support
0 0.08 0.07 0.08 287564
1 0.94 0.94 0.94 4164787
accuracy 0.88 4452351
macro avg 0.51 0.51 0.51 4452351
weighted avg 0.88 0.88 0.88 4452351
Accuracy: 0.8830903044256844
10-20%
precision recall f1-score support
0 0.01 0.07 0.02 2455
1 0.99 0.94 0.96 257616
accuracy 0.93 260071
macro avg 0.50 0.50 0.49 260071
weighted avg 0.98 0.93 0.95 260071
Accuracy: 0.9295000211480711
20-40%
precision recall f1-score support
0 0.01 0.07 0.01 659
1 1.00 0.94 0.97 130568
accuracy 0.93 131227
macro avg 0.50 0.51 0.49 131227
weighted avg 0.99 0.93 0.96 131227
Accuracy: 0.9348457253461558
40-80%
precision recall f1-score support
0 0.00 0.08 0.01 169
1 1.00 0.94 0.97 65234
accuracy 0.93 65403
macro avg 0.50 0.51 0.49 65403
weighted avg 0.99 0.93 0.96 65403
Accuracy: 0.9344066785927251
80-90%
precision recall f1-score support
0 0.00 0.07 0.00 15
1 1.00 0.94 0.97 7371
accuracy 0.93 7386
macro avg 0.50 0.50 0.49 7386
weighted avg 1.00 0.93 0.96 7386
Accuracy: 0.934470620092066
90-100%
precision recall f1-score support
0 0.00 0.06 0.01 18
1 1.00 0.94 0.97 5686
accuracy 0.94 5704
macro avg 0.50 0.50 0.49 5704
weighted avg 0.99 0.94 0.96 5704
Accuracy: 0.9358345021037868
Treshold: 0.5
All
precision recall f1-score support
0 0.74 0.52 0.61 28055468
1 0.55 0.77 0.64 21729815
accuracy 0.63 49785283
macro avg 0.65 0.64 0.63 49785283
weighted avg 0.66 0.63 0.63 49785283
Accuracy: 0.6284319203327617
precision recall f1-score support
0 0.74 0.52 0.61 28055468
1 0.55 0.77 0.64 21729815
accuracy 0.63 49785283
macro avg 0.65 0.64 0.63 49785283
weighted avg 0.66 0.63 0.63 49785283
Accuracy: 0.6284318801602473
0-1%
precision recall f1-score support
0 0.79 0.52 0.63 27764588
1 0.50 0.77 0.60 17098553
accuracy 0.62 44863141
macro avg 0.64 0.64 0.62 44863141
weighted avg 0.68 0.62 0.62 44863141
Accuracy: 0.6153508288686251
precision recall f1-score support
0 0.79 0.52 0.63 27764588
1 0.50 0.77 0.60 17098553
accuracy 0.62 44863141
macro avg 0.64 0.64 0.62 44863141
weighted avg 0.68 0.62 0.62 44863141
Accuracy: 0.615350784288599
1-10%
precision recall f1-score support
0 0.07 0.24 0.11 287564
1 0.94 0.78 0.85 4164787
accuracy 0.75 4452351
macro avg 0.50 0.51 0.48 4452351
weighted avg 0.88 0.75 0.80 4452351
Accuracy: 0.7450122418470602
precision recall f1-score support
0 0.75 0.52 0.61 28052152
1 0.55 0.77 0.64 21263340
accuracy 0.63 49315492
macro avg 0.65 0.64 0.63 49315492
weighted avg 0.66 0.63 0.62 49315492
Accuracy: 0.6270570513622779
10-20%
precision recall f1-score support
0 0.01 0.23 0.02 2455
1 0.99 0.78 0.87 257616
accuracy 0.77 260071
macro avg 0.50 0.50 0.44 260071
weighted avg 0.98 0.77 0.86 260071
Accuracy: 0.7707356837171387
20-40%
precision recall f1-score support
0 0.75 0.52 0.61 28055266
1 0.55 0.77 0.64 21651524
accuracy 0.63 49706790
macro avg 0.65 0.64 0.63 49706790
weighted avg 0.66 0.63 0.63 49706790
Accuracy: 0.6282000708555109
precision recall f1-score support
0 0.01 0.25 0.01 659
1 1.00 0.78 0.87 130568
accuracy 0.78 131227
macro avg 0.50 0.51 0.44 131227
weighted avg 0.99 0.78 0.87 131227
Accuracy: 0.7752672849337408
40-80%
precision recall f1-score support
0 0.74 0.52 0.61 28055435
1 0.55 0.77 0.64 21716758
accuracy 0.63 49772193
macro avg 0.65 0.64 0.63 49772193
weighted avg 0.66 0.63 0.63 49772193
Accuracy: 0.6283927855057542
precision recall f1-score support
0 0.00 0.23 0.01 169
1 1.00 0.78 0.87 65234
accuracy 0.77 65403
macro avg 0.50 0.50 0.44 65403
weighted avg 0.99 0.77 0.87 65403
Accuracy: 0.7748574224423956
80-90%
precision recall f1-score support
0 0.00 0.27 0.00 15
1 1.00 0.77 0.87 7371
accuracy 0.77 7386
macro avg 0.50 0.52 0.44 7386
weighted avg 1.00 0.77 0.87 7386
Accuracy: 0.7695640400758191
90-100%
precision recall f1-score support
0 0.00 0.22 0.01 18
1 1.00 0.79 0.88 5686
accuracy 0.79 5704
macro avg 0.50 0.51 0.44 5704
weighted avg 0.99 0.79 0.88 5704
Accuracy: 0.7871669004207573
Treshold: 0.6
All
precision recall f1-score support
0 0.66 0.76 0.71 28055468
1 0.61 0.49 0.55 21729815
accuracy 0.64 49785283
macro avg 0.64 0.63 0.63 49785283
weighted avg 0.64 0.64 0.64 49785283
Accuracy: 0.6430582306823485
0-1%
precision recall f1-score support
0 0.71 0.76 0.73 27764588
1 0.56 0.49 0.52 17098553
accuracy 0.66 44863141
macro avg 0.63 0.62 0.63 44863141
weighted avg 0.65 0.66 0.65 44863141
Accuracy: 0.6566422756712464
1-10%
precision recall f1-score support
0 0.07 0.49 0.12 287564
1 0.94 0.52 0.67 4164787
accuracy 0.52 4452351
macro avg 0.50 0.51 0.39 4452351
weighted avg 0.88 0.52 0.63 4452351
Accuracy: 0.5189997374420839
10-20%
precision recall f1-score support
0 0.01 0.48 0.02 2455
1 0.99 0.52 0.68 257616
accuracy 0.52 260071
macro avg 0.50 0.50 0.35 260071
weighted avg 0.98 0.52 0.68 260071
Accuracy: 0.5207539479603647
20-40%
precision recall f1-score support
0 0.01 0.51 0.01 659
1 1.00 0.52 0.68 130568
accuracy 0.52 131227
macro avg 0.50 0.52 0.35 131227
weighted avg 0.99 0.52 0.68 131227
Accuracy: 0.5218819297857911
40-80%
precision recall f1-score support
0 0.00 0.46 0.00 169
1 1.00 0.52 0.69 65234
accuracy 0.52 65403
macro avg 0.50 0.49 0.35 65403
weighted avg 0.99 0.52 0.69 65403
Accuracy: 0.5238750516031375
80-90%
precision recall f1-score support
0 0.00 0.27 0.00 15
1 1.00 0.52 0.68 7371
accuracy 0.52 7386
macro avg 0.50 0.39 0.34 7386
weighted avg 1.00 0.52 0.68 7386
Accuracy: 0.5199025182778229
90-100%
precision recall f1-score support
0 0.00 0.44 0.01 18
1 1.00 0.53 0.69 5686
accuracy 0.53 5704
macro avg 0.50 0.49 0.35 5704
weighted avg 0.99 0.53 0.69 5704
Accuracy: 0.527875175315568
Treshold: 0.7
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.16 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.36 0.50 0.36 49785283
weighted avg 0.39 0.56 0.41 49785283
Accuracy: 0.5634782270897205
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.14 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.38 0.50 0.38 44863141
weighted avg 0.44 0.62 0.47 44863141
Accuracy: 0.6188176837640503
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.38 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.22 0.50 0.06 4452351
weighted avg 0.36 0.06 0.01 4452351
Accuracy: 0.06457532211633808
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.44 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.22 0.50 0.01 260071
weighted avg 0.43 0.01 0.00 260071
Accuracy: 0.009432039712232429
20-40%
precision recall f1-score support
0 0.00 0.99 0.01 659
1 0.22 0.00 0.00 130568
accuracy 0.00 131227
macro avg 0.11 0.49 0.00 131227
weighted avg 0.22 0.00 0.00 131227
Accuracy: 0.00498373048229404
40-80%
precision recall f1-score support
0 0.00 0.98 0.01 169
1 0.20 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.10 0.49 0.00 65403
weighted avg 0.20 0.00 0.00 65403
Accuracy: 0.002538109872635812
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.8
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.18 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.37 0.50 0.36 49785283
weighted avg 0.40 0.56 0.41 49785283
Accuracy: 0.5635278200587913
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.14 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.38 0.50 0.38 44863141
weighted avg 0.43 0.62 0.47 44863141
Accuracy: 0.6188712243754846
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.80 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.43 0.50 0.06 4452351
weighted avg 0.75 0.06 0.01 4452351
Accuracy: 0.06458767514061672
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 1.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.50 0.50 0.01 260071
weighted avg 0.99 0.01 0.00 260071
Accuracy: 0.009447420127580545
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 1.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.50 0.50 0.01 131227
weighted avg 1.00 0.01 0.00 131227
Accuracy: 0.005029452780296738
40-80%
precision recall f1-score support
0 0.00 0.99 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.0025686895096555203
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
Treshold: 0.9
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.83 0.28 0.42 26119367
1 0.52 0.93 0.66 21615229
accuracy 0.58 47734596
macro avg 0.67 0.61 0.54 47734596
weighted avg 0.69 0.58 0.53 47734596
Accuracy: 0.5754493449572716
0-1%
precision recall f1-score support
0 0.99 0.45 0.62 12053010
1 0.07 0.90 0.12 508421
accuracy 0.47 12561431
macro avg 0.53 0.68 0.37 12561431
weighted avg 0.95 0.47 0.60 12561431
Accuracy: 0.46967403634187854
1-10%
precision recall f1-score support
0 0.65 0.14 0.23 13368467
1 0.54 0.93 0.68 14466820
accuracy 0.55 27835287
macro avg 0.59 0.54 0.46 27835287
weighted avg 0.59 0.55 0.47 27835287
Accuracy: 0.5508712735744381
10-20%
precision recall f1-score support
0 0.18 0.11 0.13 503365
1 0.87 0.93 0.90 3387274
accuracy 0.82 3890639
macro avg 0.53 0.52 0.52 3890639
weighted avg 0.79 0.82 0.80 3890639
Accuracy: 0.8223826471692697
20-40%
precision recall f1-score support
0 0.10 0.11 0.10 147488
1 0.93 0.93 0.93 1970425
accuracy 0.87 2117913
macro avg 0.52 0.52 0.52 2117913
weighted avg 0.87 0.87 0.87 2117913
Accuracy: 0.870333200655551
40-80%
precision recall f1-score support
0 0.06 0.11 0.08 41616
1 0.96 0.93 0.94 1064279
accuracy 0.90 1105895
macro avg 0.51 0.52 0.51 1105895
weighted avg 0.93 0.90 0.91 1105895
Accuracy: 0.8953264098309514
80-90%
precision recall f1-score support
0 0.04 0.13 0.06 3093
1 0.98 0.92 0.95 120943
accuracy 0.90 124036
macro avg 0.51 0.53 0.51 124036
weighted avg 0.95 0.90 0.93 124036
Accuracy: 0.9049227643587345
90-100%
precision recall f1-score support
0 0.04 0.12 0.06 2328
1 0.98 0.93 0.95 97067
accuracy 0.91 99395
macro avg 0.51 0.52 0.50 99395
weighted avg 0.96 0.91 0.93 99395
Accuracy: 0.9068866643191308
Treshold: 0.5
All
precision recall f1-score support
0 0.74 0.58 0.65 26119367
1 0.60 0.76 0.67 21615229
accuracy 0.66 47734596
macro avg 0.67 0.67 0.66 47734596
weighted avg 0.68 0.66 0.66 47734596
Accuracy: 0.6593091936925579
precision recall f1-score support
0 0.74 0.58 0.65 26119367
1 0.60 0.76 0.67 21615229
accuracy 0.66 47734596
macro avg 0.67 0.67 0.66 47734596
weighted avg 0.68 0.66 0.66 47734596
Accuracy: 0.6593091936925579
0-1%
precision recall f1-score support
0 0.98 0.78 0.87 12053010
1 0.12 0.70 0.20 508421
accuracy 0.78 12561431
macro avg 0.55 0.74 0.54 12561431
weighted avg 0.95 0.78 0.84 12561431
Accuracy: 0.7790837684018644
precision recall f1-score support
0 0.98 0.78 0.87 12053010
1 0.12 0.70 0.20 508421
accuracy 0.78 12561431
macro avg 0.55 0.74 0.54 12561431
weighted avg 0.95 0.78 0.84 12561431
Accuracy: 0.7790837684018644
1-10%
precision recall f1-score support
0 0.80 0.59 0.68 25421477
1 0.52 0.75 0.61 14975241
accuracy 0.65 40396718
macro avg 0.66 0.67 0.65 40396718
weighted avg 0.70 0.65 0.65 40396718
Accuracy: 0.6488780846008332
precision recall f1-score support
0 0.61 0.41 0.49 13368467
1 0.58 0.76 0.66 14466820
accuracy 0.59 27835287
macro avg 0.59 0.58 0.57 27835287
weighted avg 0.59 0.59 0.58 27835287
Accuracy: 0.5901192252840791
10-20%
precision recall f1-score support
0 0.77 0.58 0.66 25924842
1 0.56 0.76 0.64 18362515
accuracy 0.65 44287357
macro avg 0.67 0.67 0.65 44287357
weighted avg 0.68 0.65 0.66 44287357
Accuracy: 0.6537253058474454
precision recall f1-score support
0 0.16 0.31 0.21 503365
1 0.88 0.76 0.82 3387274
accuracy 0.70 3890639
macro avg 0.52 0.54 0.52 3890639
weighted avg 0.79 0.70 0.74 3890639
Accuracy: 0.7040542697484912
20-40%
precision recall f1-score support
0 0.75 0.58 0.66 26072330
1 0.58 0.76 0.66 20332940
accuracy 0.66 46405270
macro avg 0.67 0.67 0.66 46405270
weighted avg 0.68 0.66 0.66 46405270
Accuracy: 0.6570462578926919
precision recall f1-score support
0 0.09 0.31 0.14 147488
1 0.94 0.76 0.84 1970425
accuracy 0.73 2117913
macro avg 0.51 0.53 0.49 2117913
weighted avg 0.88 0.73 0.79 2117913
Accuracy: 0.7264901816080264
40-80%
precision recall f1-score support
0 0.74 0.58 0.65 26113946
1 0.60 0.76 0.67 21397219
accuracy 0.66 47511165
macro avg 0.67 0.67 0.66 47511165
weighted avg 0.68 0.66 0.66 47511165
Accuracy: 0.6589230131485936
precision recall f1-score support
0 0.05 0.31 0.08 41616
1 0.97 0.75 0.85 1064279
accuracy 0.74 1105895
macro avg 0.51 0.53 0.46 1105895
weighted avg 0.93 0.74 0.82 1105895
Accuracy: 0.7376749148879415
80-90%
precision recall f1-score support
0 0.03 0.33 0.06 3093
1 0.98 0.75 0.85 120943
accuracy 0.74 124036
macro avg 0.50 0.54 0.45 124036
weighted avg 0.95 0.74 0.83 124036
Accuracy: 0.7408494308104099
90-100%
precision recall f1-score support
0 0.03 0.31 0.05 2328
1 0.98 0.75 0.85 97067
accuracy 0.74 99395
macro avg 0.50 0.53 0.45 99395
weighted avg 0.96 0.74 0.83 99395
Accuracy: 0.7421500075456512
Treshold: 0.6
All
precision recall f1-score support
0 0.67 0.75 0.71 26119367
1 0.65 0.56 0.60 21615229
accuracy 0.67 47734596
macro avg 0.66 0.66 0.66 47734596
weighted avg 0.66 0.67 0.66 47734596
Accuracy: 0.6659124966722249
0-1%
precision recall f1-score support
0 0.98 0.91 0.94 12053010
1 0.19 0.49 0.28 508421
accuracy 0.90 12561431
macro avg 0.59 0.70 0.61 12561431
weighted avg 0.95 0.90 0.92 12561431
Accuracy: 0.8967799926616641
1-10%
precision recall f1-score support
0 0.57 0.63 0.59 13368467
1 0.62 0.56 0.58 14466820
accuracy 0.59 27835287
macro avg 0.59 0.59 0.59 27835287
weighted avg 0.59 0.59 0.59 27835287
Accuracy: 0.589570138076895
10-20%
precision recall f1-score support
0 0.14 0.49 0.22 503365
1 0.88 0.57 0.69 3387274
accuracy 0.56 3890639
macro avg 0.51 0.53 0.46 3890639
weighted avg 0.79 0.56 0.63 3890639
Accuracy: 0.5598941459230733
20-40%
precision recall f1-score support
0 0.08 0.49 0.13 147488
1 0.94 0.57 0.71 1970425
accuracy 0.56 2117913
macro avg 0.51 0.53 0.42 2117913
weighted avg 0.88 0.56 0.67 2117913
Accuracy: 0.5607761036454283
40-80%
precision recall f1-score support
0 0.04 0.49 0.08 41616
1 0.97 0.56 0.71 1064279
accuracy 0.56 1105895
macro avg 0.50 0.53 0.39 1105895
weighted avg 0.93 0.56 0.69 1105895
Accuracy: 0.5608769367797124
80-90%
precision recall f1-score support
0 0.03 0.50 0.05 3093
1 0.98 0.56 0.71 120943
accuracy 0.56 124036
macro avg 0.50 0.53 0.38 124036
weighted avg 0.95 0.56 0.70 124036
Accuracy: 0.5600954561578897
90-100%
precision recall f1-score support
0 0.03 0.48 0.05 2328
1 0.98 0.56 0.71 97067
accuracy 0.56 99395
macro avg 0.50 0.52 0.38 99395
weighted avg 0.96 0.56 0.70 99395
Accuracy: 0.5594446400724382
Treshold: 0.7
All
precision recall f1-score support
0 0.58 0.94 0.72 26119367
1 0.72 0.17 0.28 21615229
accuracy 0.60 47734596
macro avg 0.65 0.56 0.50 47734596
weighted avg 0.64 0.60 0.52 47734596
Accuracy: 0.5954824463162943
0-1%
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.40 0.15 0.21 508421
accuracy 0.96 12561431
macro avg 0.68 0.57 0.60 12561431
weighted avg 0.94 0.96 0.95 12561431
Accuracy: 0.9565823352450847
1-10%
precision recall f1-score support
0 0.50 0.91 0.65 13368467
1 0.67 0.17 0.27 14466820
accuracy 0.52 27835287
macro avg 0.58 0.54 0.46 27835287
weighted avg 0.59 0.52 0.45 27835287
Accuracy: 0.5243259033039609
10-20%
precision recall f1-score support
0 0.13 0.84 0.23 503365
1 0.88 0.18 0.31 3387274
accuracy 0.27 3890639
macro avg 0.51 0.51 0.27 3890639
weighted avg 0.79 0.27 0.30 3890639
Accuracy: 0.2688671449599924
20-40%
precision recall f1-score support
0 0.07 0.83 0.13 147488
1 0.94 0.19 0.31 1970425
accuracy 0.23 2117913
macro avg 0.50 0.51 0.22 2117913
weighted avg 0.88 0.23 0.30 2117913
Accuracy: 0.23132819903367136
40-80%
precision recall f1-score support
0 0.04 0.84 0.07 41616
1 0.97 0.19 0.31 1064279
accuracy 0.21 1105895
macro avg 0.50 0.51 0.19 1105895
weighted avg 0.93 0.21 0.30 1105895
Accuracy: 0.21072163270473238
80-90%
precision recall f1-score support
0 0.03 0.84 0.05 3093
1 0.98 0.19 0.32 120943
accuracy 0.20 124036
macro avg 0.50 0.51 0.18 124036
weighted avg 0.95 0.20 0.31 124036
Accuracy: 0.204295527105034
90-100%
precision recall f1-score support
0 0.02 0.83 0.05 2328
1 0.98 0.19 0.31 97067
accuracy 0.20 99395
macro avg 0.50 0.51 0.18 99395
weighted avg 0.96 0.20 0.31 99395
Accuracy: 0.2005634086221641
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789056306248
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595251528269351
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.48027042077920734
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.83 0.31 0.45 24893266
1 0.53 0.92 0.67 20563095
accuracy 0.59 45456361
macro avg 0.68 0.62 0.56 45456361
weighted avg 0.69 0.59 0.55 45456361
Accuracy: 0.5884104537096579
0-1%
precision recall f1-score support
0 1.00 0.72 0.83 4873589
1 0.00 0.91 0.01 3872
accuracy 0.72 4877461
macro avg 0.50 0.81 0.42 4877461
weighted avg 1.00 0.72 0.83 4877461
Accuracy: 0.7162039839990519
1-10%
precision recall f1-score support
0 0.86 0.23 0.36 16949103
1 0.36 0.92 0.52 8016772
accuracy 0.45 24965875
macro avg 0.61 0.57 0.44 24965875
weighted avg 0.70 0.45 0.41 24965875
Accuracy: 0.45034692355064665
10-20%
precision recall f1-score support
0 0.40 0.13 0.20 2057494
1 0.74 0.93 0.82 5461156
accuracy 0.71 7518650
macro avg 0.57 0.53 0.51 7518650
weighted avg 0.65 0.71 0.65 7518650
Accuracy: 0.7092624340805863
20-40%
precision recall f1-score support
0 0.24 0.13 0.17 744974
1 0.85 0.93 0.89 4060539
accuracy 0.80 4805513
macro avg 0.55 0.53 0.53 4805513
weighted avg 0.76 0.80 0.78 4805513
Accuracy: 0.8019239569219769
40-80%
precision recall f1-score support
0 0.14 0.13 0.14 235909
1 0.92 0.92 0.92 2483775
accuracy 0.85 2719684
macro avg 0.53 0.53 0.53 2719684
weighted avg 0.85 0.85 0.85 2719684
Accuracy: 0.8548073967416803
80-90%
precision recall f1-score support
0 0.10 0.14 0.11 18577
1 0.94 0.92 0.93 296772
accuracy 0.88 315349
macro avg 0.52 0.53 0.52 315349
weighted avg 0.89 0.88 0.88 315349
Accuracy: 0.8753159198221653
90-100%
precision recall f1-score support
0 0.09 0.14 0.11 13620
1 0.95 0.92 0.94 240209
accuracy 0.88 253829
macro avg 0.52 0.53 0.52 253829
weighted avg 0.90 0.88 0.89 253829
Accuracy: 0.8795212524967596
Treshold: 0.5
All
precision recall f1-score support
0 0.76 0.60 0.67 24893266
1 0.61 0.77 0.68 20563095
accuracy 0.68 45456361
macro avg 0.69 0.68 0.68 45456361
weighted avg 0.69 0.68 0.67 45456361
Accuracy: 0.6755462013336263
precision recall f1-score support
0 0.76 0.60 0.67 24893266
1 0.61 0.77 0.68 20563095
accuracy 0.68 45456361
macro avg 0.69 0.68 0.68 45456361
weighted avg 0.69 0.68 0.67 45456361
Accuracy: 0.6755462013336263
0-1%
precision recall f1-score support
0 1.00 0.95 0.97 4873589
1 0.01 0.71 0.02 3872
accuracy 0.95 4877461
macro avg 0.51 0.83 0.50 4877461
weighted avg 1.00 0.95 0.97 4877461
Accuracy: 0.9479210597480944
precision recall f1-score support
0 1.00 0.95 0.97 4873589
1 0.01 0.71 0.02 3872
accuracy 0.95 4877461
macro avg 0.51 0.83 0.50 4877461
weighted avg 1.00 0.95 0.97 4877461
Accuracy: 0.9479210597480944
1-10%
precision recall f1-score support
0 0.83 0.54 0.65 16949103
1 0.44 0.76 0.56 8016772
accuracy 0.61 24965875
macro avg 0.63 0.65 0.61 24965875
weighted avg 0.70 0.61 0.62 24965875
Accuracy: 0.6124068553575631
precision recall f1-score support
0 0.88 0.63 0.74 21822692
1 0.43 0.76 0.55 8020644
accuracy 0.67 29843336
macro avg 0.66 0.70 0.64 29843336
weighted avg 0.76 0.67 0.69 29843336
Accuracy: 0.6672417922714806
10-20%
precision recall f1-score support
0 0.82 0.61 0.70 23880186
1 0.53 0.77 0.62 13481800
accuracy 0.67 37361986
macro avg 0.67 0.69 0.66 37361986
weighted avg 0.72 0.67 0.67 37361986
Accuracy: 0.6666354673972631
precision recall f1-score support
0 0.38 0.37 0.37 2057494
1 0.77 0.78 0.77 5461156
accuracy 0.66 7518650
macro avg 0.57 0.57 0.57 7518650
weighted avg 0.66 0.66 0.66 7518650
Accuracy: 0.6642288176733855
20-40%
precision recall f1-score support
0 0.78 0.60 0.68 24625160
1 0.58 0.77 0.66 17542339
accuracy 0.67 42167499
macro avg 0.68 0.69 0.67 42167499
weighted avg 0.70 0.67 0.67 42167499
Accuracy: 0.6712092410318193
precision recall f1-score support
0 0.22 0.36 0.27 744974
1 0.87 0.77 0.82 4060539
accuracy 0.71 4805513
macro avg 0.54 0.56 0.54 4805513
weighted avg 0.77 0.71 0.73 4805513
Accuracy: 0.7067694957853615
40-80%
precision recall f1-score support
0 0.13 0.35 0.19 235909
1 0.93 0.77 0.84 2483775
accuracy 0.73 2719684
macro avg 0.53 0.56 0.51 2719684
weighted avg 0.86 0.73 0.78 2719684
Accuracy: 0.7296358694613051
precision recall f1-score support
0 0.76 0.60 0.67 24861069
1 0.61 0.77 0.68 20026114
accuracy 0.67 44887183
macro avg 0.68 0.68 0.67 44887183
weighted avg 0.69 0.67 0.67 44887183
Accuracy: 0.6747492708553352
80-90%
precision recall f1-score support
0 0.09 0.36 0.14 18577
1 0.95 0.76 0.84 296772
accuracy 0.74 315349
macro avg 0.52 0.56 0.49 315349
weighted avg 0.90 0.74 0.80 315349
Accuracy: 0.7371737344973347
90-100%
precision recall f1-score support
0 0.08 0.36 0.13 13620
1 0.95 0.76 0.85 240209
accuracy 0.74 253829
macro avg 0.52 0.56 0.49 253829
weighted avg 0.91 0.74 0.81 253829
Accuracy: 0.739911515232696
Treshold: 0.6
All
precision recall f1-score support
0 0.69 0.76 0.73 24893266
1 0.67 0.60 0.63 20563095
accuracy 0.69 45456361
macro avg 0.68 0.68 0.68 45456361
weighted avg 0.68 0.69 0.68 45456361
Accuracy: 0.6853694909717916
0-1%
precision recall f1-score support
0 1.00 0.99 0.99 4873589
1 0.04 0.53 0.07 3872
accuracy 0.99 4877461
macro avg 0.52 0.76 0.53 4877461
weighted avg 1.00 0.99 0.99 4877461
Accuracy: 0.9888593676095001
1-10%
precision recall f1-score support
0 0.79 0.73 0.76 16949103
1 0.51 0.59 0.55 8016772
accuracy 0.69 24965875
macro avg 0.65 0.66 0.65 24965875
weighted avg 0.70 0.69 0.69 24965875
Accuracy: 0.6865130503136782
10-20%
precision recall f1-score support
0 0.34 0.54 0.42 2057494
1 0.78 0.61 0.68 5461156
accuracy 0.59 7518650
macro avg 0.56 0.57 0.55 7518650
weighted avg 0.66 0.59 0.61 7518650
Accuracy: 0.5877176088792536
20-40%
precision recall f1-score support
0 0.19 0.51 0.28 744974
1 0.87 0.60 0.71 4060539
accuracy 0.59 4805513
macro avg 0.53 0.56 0.50 4805513
weighted avg 0.77 0.59 0.65 4805513
Accuracy: 0.5898589807165229
40-80%
precision recall f1-score support
0 0.11 0.51 0.18 235909
1 0.93 0.60 0.73 2483775
accuracy 0.59 2719684
macro avg 0.52 0.55 0.45 2719684
weighted avg 0.86 0.59 0.68 2719684
Accuracy: 0.5896339427668803
80-90%
precision recall f1-score support
0 0.07 0.51 0.13 18577
1 0.95 0.59 0.73 296772
accuracy 0.59 315349
macro avg 0.51 0.55 0.43 315349
weighted avg 0.90 0.59 0.69 315349
Accuracy: 0.5880690917047462
90-100%
precision recall f1-score support
0 0.07 0.51 0.12 13620
1 0.96 0.59 0.73 240209
accuracy 0.59 253829
macro avg 0.51 0.55 0.42 253829
weighted avg 0.91 0.59 0.70 253829
Accuracy: 0.5885773493178479
Treshold: 0.7
All
precision recall f1-score support
0 0.60 0.93 0.73 24893266
1 0.74 0.26 0.38 20563095
accuracy 0.62 45456361
macro avg 0.67 0.59 0.56 45456361
weighted avg 0.67 0.62 0.57 45456361
Accuracy: 0.6240705453742766
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.25 0.21 0.23 3872
accuracy 1.00 4877461
macro avg 0.62 0.61 0.61 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9988602676679527
1-10%
precision recall f1-score support
0 0.72 0.93 0.81 16949103
1 0.62 0.25 0.35 8016772
accuracy 0.71 24965875
macro avg 0.67 0.59 0.58 24965875
weighted avg 0.69 0.71 0.66 24965875
Accuracy: 0.7087652245314855
10-20%
precision recall f1-score support
0 0.29 0.81 0.43 2057494
1 0.79 0.26 0.40 5461156
accuracy 0.41 7518650
macro avg 0.54 0.54 0.41 7518650
weighted avg 0.65 0.41 0.41 7518650
Accuracy: 0.4141135709203115
20-40%
precision recall f1-score support
0 0.17 0.79 0.27 744974
1 0.87 0.27 0.41 4060539
accuracy 0.35 4805513
macro avg 0.52 0.53 0.34 4805513
weighted avg 0.76 0.35 0.39 4805513
Accuracy: 0.3480512902576686
40-80%
precision recall f1-score support
0 0.09 0.79 0.17 235909
1 0.93 0.27 0.41 2483775
accuracy 0.31 2719684
macro avg 0.51 0.53 0.29 2719684
weighted avg 0.86 0.31 0.39 2719684
Accuracy: 0.3115865666746578
80-90%
precision recall f1-score support
0 0.06 0.79 0.12 18577
1 0.95 0.26 0.41 296772
accuracy 0.30 315349
macro avg 0.51 0.53 0.27 315349
weighted avg 0.90 0.30 0.40 315349
Accuracy: 0.29552337251743305
90-100%
precision recall f1-score support
0 0.06 0.79 0.11 13620
1 0.96 0.26 0.41 240209
accuracy 0.29 253829
macro avg 0.51 0.53 0.26 253829
weighted avg 0.91 0.29 0.40 253829
Accuracy: 0.2930319230663163
Treshold: 0.8
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
Treshold: 0.9
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.85 0.37 0.51 22531902
1 0.52 0.92 0.66 16938696
accuracy 0.60 39470598
macro avg 0.69 0.64 0.59 39470598
weighted avg 0.71 0.60 0.58 39470598
Accuracy: 0.601860858556032
0-1%
precision recall f1-score support
0 1.00 0.97 0.98 1549999
1 0.00 0.00 0.00 0
accuracy 0.97 1549999
macro avg 0.50 0.48 0.49 1549999
weighted avg 1.00 0.97 0.98 1549999
Accuracy: 0.9667625592016511
1-10%
precision recall f1-score support
0 0.97 0.43 0.59 11439888
1 0.15 0.90 0.26 1271288
accuracy 0.47 12711176
macro avg 0.56 0.66 0.42 12711176
weighted avg 0.89 0.47 0.56 12711176
Accuracy: 0.4739205090071918
10-20%
precision recall f1-score support
0 0.76 0.21 0.33 5044441
1 0.47 0.91 0.62 3812372
accuracy 0.51 8856813
macro avg 0.62 0.56 0.47 8856813
weighted avg 0.64 0.51 0.46 8856813
Accuracy: 0.5138872187998098
20-40%
precision recall f1-score support
0 0.54 0.18 0.27 2995598
1 0.68 0.92 0.78 5583215
accuracy 0.66 8578813
macro avg 0.61 0.55 0.52 8578813
weighted avg 0.63 0.66 0.60 8578813
Accuracy: 0.6609046030027698
40-80%
precision recall f1-score support
0 0.35 0.17 0.23 1295061
1 0.81 0.92 0.86 5001564
accuracy 0.76 6296625
macro avg 0.58 0.54 0.55 6296625
weighted avg 0.72 0.76 0.73 6296625
Accuracy: 0.7643621781509936
80-90%
precision recall f1-score support
0 0.26 0.17 0.21 117971
1 0.87 0.92 0.89 692761
accuracy 0.81 810732
macro avg 0.56 0.54 0.55 810732
weighted avg 0.78 0.81 0.79 810732
Accuracy: 0.8079636674018048
90-100%
precision recall f1-score support
0 0.24 0.17 0.20 88944
1 0.88 0.92 0.90 577496
accuracy 0.82 666440
macro avg 0.56 0.54 0.55 666440
weighted avg 0.79 0.82 0.80 666440
Accuracy: 0.8164515935418042
Treshold: 0.5
All
precision recall f1-score support
0 0.79 0.63 0.70 22531902
1 0.61 0.78 0.69 16938696
accuracy 0.70 39470598
macro avg 0.70 0.71 0.70 39470598
weighted avg 0.72 0.70 0.70 39470598
Accuracy: 0.6961267219716306
precision recall f1-score support
0 0.79 0.63 0.70 22531902
1 0.61 0.78 0.69 16938696
accuracy 0.70 39470598
macro avg 0.70 0.71 0.70 39470598
weighted avg 0.72 0.70 0.70 39470598
Accuracy: 0.6961267219716306
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9993290318251818
1-10%
precision recall f1-score support
0 0.97 0.76 0.85 12989887
1 0.24 0.76 0.36 1271288
accuracy 0.76 14261175
macro avg 0.60 0.76 0.61 14261175
weighted avg 0.90 0.76 0.81 14261175
Accuracy: 0.7609563728093933
precision recall f1-score support
0 0.96 0.73 0.83 11439888
1 0.24 0.76 0.36 1271288
accuracy 0.73 12711176
macro avg 0.60 0.74 0.60 12711176
weighted avg 0.89 0.73 0.78 12711176
Accuracy: 0.7318892445514089
10-20%
precision recall f1-score support
0 0.92 0.68 0.78 18034328
1 0.41 0.78 0.54 5083660
accuracy 0.70 23117988
macro avg 0.66 0.73 0.66 23117988
weighted avg 0.80 0.70 0.73 23117988
Accuracy: 0.7035804326916338
precision recall f1-score support
0 0.75 0.48 0.59 5044441
1 0.53 0.78 0.63 3812372
accuracy 0.61 8856813
macro avg 0.64 0.63 0.61 8856813
weighted avg 0.65 0.61 0.61 8856813
Accuracy: 0.611194116890579
20-40%
precision recall f1-score support
0 0.85 0.65 0.74 21029926
1 0.53 0.78 0.63 10666875
accuracy 0.69 31696801
macro avg 0.69 0.71 0.68 31696801
weighted avg 0.74 0.69 0.70 31696801
Accuracy: 0.6925511505088479
precision recall f1-score support
0 0.52 0.43 0.47 2995598
1 0.72 0.79 0.75 5583215
accuracy 0.66 8578813
macro avg 0.62 0.61 0.61 8578813
weighted avg 0.65 0.66 0.65 8578813
Accuracy: 0.6628296945043562
40-80%
precision recall f1-score support
0 0.33 0.41 0.37 1295061
1 0.84 0.78 0.81 5001564
accuracy 0.71 6296625
macro avg 0.58 0.60 0.59 6296625
weighted avg 0.73 0.71 0.72 6296625
Accuracy: 0.706921723939412
80-90%
precision recall f1-score support
0 0.24 0.41 0.30 117971
1 0.89 0.78 0.83 692761
accuracy 0.73 810732
macro avg 0.56 0.59 0.56 810732
weighted avg 0.79 0.73 0.75 810732
Accuracy: 0.7251175480923412
90-100%
precision recall f1-score support
0 0.22 0.41 0.29 88944
1 0.89 0.78 0.83 577496
accuracy 0.73 666440
macro avg 0.56 0.59 0.56 666440
weighted avg 0.80 0.73 0.76 666440
Accuracy: 0.7289253346137686
Treshold: 0.6
All
precision recall f1-score support
0 0.75 0.77 0.76 22531902
1 0.68 0.65 0.67 16938696
accuracy 0.72 39470598
macro avg 0.71 0.71 0.71 39470598
weighted avg 0.72 0.72 0.72 39470598
Accuracy: 0.7204605311528344
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999799999870967
1-10%
precision recall f1-score support
0 0.95 0.86 0.90 11439888
1 0.33 0.61 0.43 1271288
accuracy 0.84 12711176
macro avg 0.64 0.73 0.67 12711176
weighted avg 0.89 0.84 0.86 12711176
Accuracy: 0.8359139233065453
10-20%
precision recall f1-score support
0 0.71 0.67 0.69 5044441
1 0.59 0.64 0.62 3812372
accuracy 0.66 8856813
macro avg 0.65 0.65 0.65 8856813
weighted avg 0.66 0.66 0.66 8856813
Accuracy: 0.6561279999927739
20-40%
precision recall f1-score support
0 0.49 0.61 0.54 2995598
1 0.76 0.66 0.70 5583215
accuracy 0.64 8578813
macro avg 0.62 0.63 0.62 8578813
weighted avg 0.66 0.64 0.65 8578813
Accuracy: 0.6399417961435924
40-80%
precision recall f1-score support
0 0.30 0.59 0.40 1295061
1 0.86 0.65 0.74 5001564
accuracy 0.64 6296625
macro avg 0.58 0.62 0.57 6296625
weighted avg 0.74 0.64 0.67 6296625
Accuracy: 0.6384820439521172
80-90%
precision recall f1-score support
0 0.22 0.58 0.32 117971
1 0.90 0.65 0.75 692761
accuracy 0.64 810732
macro avg 0.56 0.61 0.53 810732
weighted avg 0.80 0.64 0.69 810732
Accuracy: 0.636448296107715
90-100%
precision recall f1-score support
0 0.20 0.58 0.30 88944
1 0.91 0.65 0.75 577496
accuracy 0.64 666440
macro avg 0.55 0.61 0.53 666440
weighted avg 0.81 0.64 0.69 666440
Accuracy: 0.6364804033371346
Treshold: 0.7
All
precision recall f1-score support
0 0.67 0.91 0.77 22531902
1 0.77 0.41 0.53 16938696
accuracy 0.69 39470598
macro avg 0.72 0.66 0.65 39470598
weighted avg 0.71 0.69 0.67 39470598
Accuracy: 0.6939022560539874
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.93 0.96 0.95 11439888
1 0.52 0.36 0.43 1271288
accuracy 0.90 12711176
macro avg 0.73 0.66 0.69 12711176
weighted avg 0.89 0.90 0.89 12711176
Accuracy: 0.9025836004473543
10-20%
precision recall f1-score support
0 0.66 0.87 0.75 5044441
1 0.69 0.40 0.51 3812372
accuracy 0.66 8856813
macro avg 0.67 0.63 0.63 8856813
weighted avg 0.67 0.66 0.64 8856813
Accuracy: 0.6646752054040206
20-40%
precision recall f1-score support
0 0.43 0.81 0.56 2995598
1 0.80 0.41 0.55 5583215
accuracy 0.55 8578813
macro avg 0.61 0.61 0.55 8578813
weighted avg 0.67 0.55 0.55 8578813
Accuracy: 0.5521397890360823
40-80%
precision recall f1-score support
0 0.25 0.77 0.38 1295061
1 0.88 0.41 0.56 5001564
accuracy 0.49 6296625
macro avg 0.57 0.59 0.47 6296625
weighted avg 0.75 0.49 0.52 6296625
Accuracy: 0.4870548905167451
80-90%
precision recall f1-score support
0 0.18 0.76 0.29 117971
1 0.91 0.41 0.56 692761
accuracy 0.46 810732
macro avg 0.54 0.59 0.43 810732
weighted avg 0.80 0.46 0.52 810732
Accuracy: 0.4594588594011338
90-100%
precision recall f1-score support
0 0.17 0.76 0.27 88944
1 0.92 0.41 0.56 577496
accuracy 0.45 666440
macro avg 0.54 0.58 0.42 666440
weighted avg 0.82 0.45 0.53 666440
Accuracy: 0.4545510473561011
Treshold: 0.8
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Treshold: 0.9
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Individual Workload Result
zipf_1_15
Ignore Obj Size
0.01
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 6046758 | 0.403719 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| Zipf Optimal Distribution | 9519768 | 0.404397 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.8] | 9723106 | 0.404903 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.9] | 10300318 | 0.40504 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.9] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.8] | 10440919 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.9] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| Offline Clock 1st iteration | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 10439791 | 0.405179 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.8] | 8737176 | 0.405235 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 6643390 | 0.409278 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.7] | 7445242 | 0.409313 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 5394390 | 0.41367 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.6] | 5624188 | 0.415091 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 6555803 | 0.416964 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | 4543024 | 0.417467 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.5] | 4377254 | 0.420167 | ../../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_7_decay_vtime[cache_size=0.01,treshold=0.5] | 3794070 | 0.42792 | ../../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_7_decay_vtime[cache_size=0.01,treshold=0.3] | 1538851 | 0.439285 | ../../result/log/zipf_1_15 | 0.01 | 1 |
0.1
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5855919 | 0.209857 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| Zipf Optimal Distribution | 8927244 | 0.211885 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.8] | 9741455 | 0.213588 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.9] | 10273491 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.8] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.9] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.9] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| Offline Clock 1st iteration | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.8] | 10273543 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 10143683 | 0.214071 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.7] | 7146708 | 0.216428 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 7216965 | 0.216996 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.6] | 5360087 | 0.220696 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 4733150 | 0.222191 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 6293267 | 0.223231 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.5] | 4189445 | 0.224661 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 3703970 | 0.226198 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 4110260 | 0.23031 | ../../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_7_decay_rtime[cache_size=0.1,treshold=0.3] | 2487684 | 0.232159 | ../../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 |
0.2
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5679810 | 0.147307 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| Zipf Optimal Distribution | 8496578 | 0.150203 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.9] | 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_decay_rtime[cache_size=0.2,treshold=0.8] | 10000375 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.8] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.9] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.9] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 9999712 | 0.152751 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.8] | 9531967 | 0.152768 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 9586284 | 0.153416 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.7] | 7016918 | 0.154434 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.6] | 5229392 | 0.157674 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 6035426 | 0.16054 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.5] | 4064883 | 0.160932 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 4353128 | 0.164057 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 4020575 | 0.166207 | ../../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_7_decay_rtime[cache_size=0.2,treshold=0.5] | 3311970 | 0.167232 | ../../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_7_decay_vtime[cache_size=0.2,treshold=0.3] | 1742919 | 0.175052 | ../../result/log/zipf_1_15 | 0.2 | 1 |
0.4
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5220469 | 0.0827401 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| Zipf Optimal Distribution | 7658498 | 0.0867334 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.9] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| Offline Clock 1st iteration | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.8] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.8] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.9] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.9] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.8] | 8604425 | 0.0898642 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 8395556 | 0.090647 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.7] | 6564585 | 0.0906806 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 8341028 | 0.0907109 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.6] | 4886072 | 0.0923637 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.5] | 3740510 | 0.0943411 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 5441395 | 0.0949039 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 5428111 | 0.0949261 | ../../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_7_decay_vtime[cache_size=0.4,treshold=0.5] | 3760799 | 0.0984036 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 3726531 | 0.0984863 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 1808268 | 0.104395 | ../../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 |
zipf_1_16
Ignore Obj Size
0.01
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 6044928 | 0.403882 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| Zipf Optimal Distribution | 9516893 | 0.40457 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.8] | 9719385 | 0.405075 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.9] | 10297041 | 0.405209 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.9] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.8] | 10437581 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.9] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| Offline Clock 1st iteration | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 10436347 | 0.405354 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.8] | 8732526 | 0.405431 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 6641067 | 0.409452 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.7] | 7441925 | 0.409488 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 5390735 | 0.413832 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.6] | 5622068 | 0.415253 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 6555117 | 0.417117 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | 4542238 | 0.417596 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.5] | 4375097 | 0.420329 | ../../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_7_decay_vtime[cache_size=0.01,treshold=0.5] | 3793209 | 0.428066 | ../../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_7_decay_vtime[cache_size=0.01,treshold=0.3] | 1541566 | 0.439412 | ../../result/log/zipf_1_16 | 0.01 | 1 |
0.1
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5851636 | 0.210029 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| Zipf Optimal Distribution | 8926367 | 0.212052 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.8] | 9743143 | 0.213754 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| Offline Clock 1st iteration | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.8] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.8] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.9] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.9] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.9] | 10274534 | 0.213984 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 10147164 | 0.214231 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.7] | 7149477 | 0.216579 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 7216374 | 0.217167 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.6] | 5360305 | 0.22086 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 4733840 | 0.222338 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 6298342 | 0.223385 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.5] | 4188394 | 0.224819 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 3704837 | 0.226332 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 4111649 | 0.230457 | ../../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_7_decay_rtime[cache_size=0.1,treshold=0.3] | 2487232 | 0.232314 | ../../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 |
0.2
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5683642 | 0.147393 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| Zipf Optimal Distribution | 8505430 | 0.150288 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.9] | 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_decay_rtime[cache_size=0.2,treshold=0.8] | 10010485 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.8] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.9] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.9] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 10009864 | 0.152838 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.8] | 9547859 | 0.152851 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 9598544 | 0.153498 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.7] | 7023421 | 0.15454 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.6] | 5236734 | 0.157779 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 6039481 | 0.160661 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.5] | 4067828 | 0.161033 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 4357859 | 0.164165 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 4025598 | 0.166311 | ../../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_7_decay_rtime[cache_size=0.2,treshold=0.5] | 3316277 | 0.167327 | ../../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_7_decay_vtime[cache_size=0.2,treshold=0.3] | 1742907 | 0.175147 | ../../result/log/zipf_1_16 | 0.2 | 1 |
0.4
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5225924 | 0.0827439 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| Zipf Optimal Distribution | 7664562 | 0.0867505 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.9] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| Offline Clock 1st iteration | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.8] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.8] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.9] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.9] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.8] | 8610365 | 0.0898882 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 8401564 | 0.0906702 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.7] | 6575861 | 0.0906929 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 8348071 | 0.0907372 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.6] | 4894672 | 0.0923775 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.5] | 3743350 | 0.0943692 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 5450060 | 0.0949163 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 5436795 | 0.0949382 | ../../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_7_decay_vtime[cache_size=0.4,treshold=0.5] | 3769124 | 0.0984251 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 3731373 | 0.0985102 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 1809921 | 0.104411 | ../../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 |
zipf_1_17
Ignore Obj Size
0.01
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 6046350 | 0.403777 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| Zipf Optimal Distribution | 9518366 | 0.404457 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.8] | 9721381 | 0.404961 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.9] | 10298864 | 0.405099 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.9] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.8] | 10439514 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.9] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| Offline Clock 1st iteration | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 10438399 | 0.405248 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.8] | 8733354 | 0.405315 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 6644053 | 0.409339 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.7] | 7445732 | 0.409371 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 5394726 | 0.413716 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.6] | 5625900 | 0.41513 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 6556563 | 0.417008 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | 4545583 | 0.417482 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.5] | 4377646 | 0.420218 | ../../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_7_decay_vtime[cache_size=0.01,treshold=0.5] | 3794990 | 0.427964 | ../../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_7_decay_vtime[cache_size=0.01,treshold=0.3] | 1540387 | 0.439321 | ../../result/log/zipf_1_17 | 0.01 | 1 |
0.1
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5851791 | 0.209897 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| Zipf Optimal Distribution | 8925674 | 0.211925 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.8] | 9739230 | 0.21363 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.9] | 10272576 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.8] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.9] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.9] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| Offline Clock 1st iteration | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.8] | 10272629 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 10141557 | 0.214113 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.7] | 7144703 | 0.216462 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 7212567 | 0.217055 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.6] | 5357644 | 0.220741 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 4734409 | 0.2222 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 6289254 | 0.223285 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.5] | 4187519 | 0.224686 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 3704953 | 0.226195 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 4111180 | 0.23034 | ../../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_7_decay_rtime[cache_size=0.1,treshold=0.3] | 2488327 | 0.232164 | ../../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 |
0.2
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5680729 | 0.147336 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| Zipf Optimal Distribution | 8498188 | 0.150231 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.9] | 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_decay_rtime[cache_size=0.2,treshold=0.8] | 10002858 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.8] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.9] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.9] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 10002145 | 0.152786 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.8] | 9536570 | 0.152804 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 9589724 | 0.153449 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.7] | 7018075 | 0.154471 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.6] | 5231447 | 0.157695 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 6032244 | 0.160593 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.5] | 4063819 | 0.16096 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 4354036 | 0.164098 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 4021063 | 0.166257 | ../../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_7_decay_rtime[cache_size=0.2,treshold=0.5] | 3315498 | 0.167247 | ../../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_7_decay_vtime[cache_size=0.2,treshold=0.3] | 1742041 | 0.175092 | ../../result/log/zipf_1_17 | 0.2 | 1 |
0.4
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5224778 | 0.0827112 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| Zipf Optimal Distribution | 7661751 | 0.0867151 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.9] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| Offline Clock 1st iteration | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.8] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.8] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.9] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.9] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.8] | 8608122 | 0.0898514 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 8400569 | 0.090626 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.7] | 6567879 | 0.0906525 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 8346174 | 0.0906931 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.6] | 4889127 | 0.0923508 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.5] | 3740335 | 0.0943325 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 5445326 | 0.0948899 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 5431793 | 0.0949135 | ../../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_7_decay_vtime[cache_size=0.4,treshold=0.5] | 3765984 | 0.098396 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 3729960 | 0.0984815 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 1807629 | 0.1044 | ../../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 |
zipf_1_18
Ignore Obj Size
0.01
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 6046061 | 0.40372 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| Zipf Optimal Distribution | 9518058 | 0.404413 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.8] | 9722629 | 0.404917 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.9] | 10299781 | 0.405059 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.9] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.8] | 10439702 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.9] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| Offline Clock 1st iteration | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 10438585 | 0.405205 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.8] | 8735480 | 0.405254 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 6644967 | 0.409265 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.7] | 7447352 | 0.409313 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 5390439 | 0.413671 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.6] | 5625647 | 0.415084 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 6558117 | 0.416954 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | 4542541 | 0.417445 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.5] | 4377907 | 0.420158 | ../../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_7_decay_vtime[cache_size=0.01,treshold=0.5] | 3794220 | 0.427904 | ../../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_7_decay_vtime[cache_size=0.01,treshold=0.3] | 1539105 | 0.439275 | ../../result/log/zipf_1_18 | 0.01 | 1 |
0.1
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5852167 | 0.209865 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| Zipf Optimal Distribution | 8924501 | 0.211883 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.8] | 9733356 | 0.213597 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| Offline Clock 1st iteration | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.8] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.8] | 10268390 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.9] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.9] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.9] | 10268337 | 0.213822 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 10137363 | 0.214076 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.7] | 7145387 | 0.216423 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 7214951 | 0.216993 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.6] | 5361294 | 0.220688 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 4736931 | 0.222155 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 6290318 | 0.223233 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.5] | 4189562 | 0.22465 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 3706165 | 0.226163 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 4111719 | 0.230295 | ../../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_7_decay_rtime[cache_size=0.1,treshold=0.3] | 2486239 | 0.232138 | ../../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 |
0.2
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5677502 | 0.147262 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| Zipf Optimal Distribution | 8501025 | 0.150135 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.9] | 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_decay_rtime[cache_size=0.2,treshold=0.8] | 10001051 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.8] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.9] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.9] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 10000400 | 0.152708 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.8] | 9531160 | 0.152725 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 9586153 | 0.153375 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.7] | 7019488 | 0.154386 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.6] | 5230219 | 0.157625 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 6032945 | 0.160522 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.5] | 4064000 | 0.160885 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 4354357 | 0.16401 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 4021129 | 0.166164 | ../../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_7_decay_rtime[cache_size=0.2,treshold=0.5] | 3313663 | 0.16718 | ../../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_7_decay_vtime[cache_size=0.2,treshold=0.3] | 1742595 | 0.174995 | ../../result/log/zipf_1_18 | 0.2 | 1 |
0.4
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5223361 | 0.0826611 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| Zipf Optimal Distribution | 7661309 | 0.0866641 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.9] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| Offline Clock 1st iteration | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.8] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.8] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.9] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.9] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.8] | 8606269 | 0.0897963 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 8394273 | 0.0905789 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.7] | 6559302 | 0.0906081 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 8339582 | 0.0906492 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.6] | 4884998 | 0.0922988 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.5] | 3737695 | 0.0942873 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 5438445 | 0.0948469 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 5425339 | 0.0948704 | ../../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_7_decay_vtime[cache_size=0.4,treshold=0.5] | 3759032 | 0.0983493 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 3726252 | 0.0984329 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 1807260 | 0.10433 | ../../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 |
zipf_1_19
Ignore Obj Size
0.01
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 6047379 | 0.403776 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| Zipf Optimal Distribution | 9518278 | 0.404475 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.8] | 9724440 | 0.404975 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.9] | 10302521 | 0.405119 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.9] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| Offline Clock 1st iteration | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.9] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.8] | 10442755 | 0.405257 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 10441576 | 0.405263 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.8] | 8737350 | 0.405305 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 6643912 | 0.409333 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.7] | 7447270 | 0.409369 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 5393299 | 0.413714 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.6] | 5626394 | 0.415125 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 6559818 | 0.417008 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | 4545854 | 0.417485 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.5] | 4379187 | 0.420192 | ../../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_7_decay_vtime[cache_size=0.01,treshold=0.5] | 3799093 | 0.427947 | ../../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_7_decay_vtime[cache_size=0.01,treshold=0.3] | 1542115 | 0.439306 | ../../result/log/zipf_1_19 | 0.01 | 1 |
0.1
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5852464 | 0.209927 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| Zipf Optimal Distribution | 8923837 | 0.21197 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.8] | 9737676 | 0.213668 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| Offline Clock 1st iteration | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.8] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.8] | 10270641 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.9] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.9] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.9] | 10270590 | 0.213883 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 10141980 | 0.214132 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.7] | 7146054 | 0.216485 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 7213949 | 0.217073 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.6] | 5359165 | 0.220761 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 4736635 | 0.222227 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 6294254 | 0.223297 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.5] | 4187890 | 0.224725 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 3707309 | 0.226221 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 4113768 | 0.230355 | ../../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_7_decay_rtime[cache_size=0.1,treshold=0.3] | 2489838 | 0.232195 | ../../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 |
0.2
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5678610 | 0.147359 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| Zipf Optimal Distribution | 8501803 | 0.150225 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.9] | 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_decay_rtime[cache_size=0.2,treshold=0.8] | 10003444 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.8] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.9] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.9] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 10002848 | 0.152793 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.8] | 9540045 | 0.15281 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 9590329 | 0.153458 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.7] | 7018961 | 0.154486 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.6] | 5231219 | 0.157735 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 6035527 | 0.160602 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.5] | 4062831 | 0.160991 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 4354820 | 0.164095 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 4020467 | 0.166257 | ../../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_7_decay_rtime[cache_size=0.2,treshold=0.5] | 3311199 | 0.167277 | ../../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_7_decay_vtime[cache_size=0.2,treshold=0.3] | 1743406 | 0.175084 | ../../result/log/zipf_1_19 | 0.2 | 1 |
0.4
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5227240 | 0.0827181 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| Zipf Optimal Distribution | 7662557 | 0.0867323 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.9] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| Offline Clock 1st iteration | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.8] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.8] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.9] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.9] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.8] | 8612834 | 0.0898298 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 8402875 | 0.0906213 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.7] | 6570572 | 0.0906615 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 8347871 | 0.0906953 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.6] | 4891710 | 0.0923776 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.5] | 3742200 | 0.0943506 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 5447047 | 0.0948944 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 5433109 | 0.094921 | ../../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_7_decay_vtime[cache_size=0.4,treshold=0.5] | 3763446 | 0.0984165 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 3727412 | 0.0984974 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 1811005 | 0.104394 | ../../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 |