Zipf1 Base Model Test Data Result Obj Size Ignored
Result
Model Summaries
| Model | Better than base % of the times |
| LR_1[cache_size=0.01,treshold=0.5] | 0 |
| LR_2[cache_size=0.01,treshold=0.5] | 0 |
| LR_3[cache_size=0.01,treshold=0.5] | 0 |
| LR_4[cache_size=0.01,treshold=0.5] | 0 |
| LR_5[cache_size=0.01,treshold=0.5] | 0 |
| LR_6[cache_size=0.01,treshold=0.5] | 0 |
| LR_7[cache_size=0.01,treshold=0.5] | 0 |
| LR_8[cache_size=0.01,treshold=0.5] | 0 |
| LR_9[cache_size=0.01,treshold=0.5] | 0 |
| LR_1[cache_size=0.1,treshold=0.5] | 0 |
| LR_2[cache_size=0.1,treshold=0.5] | 0 |
| LR_3[cache_size=0.1,treshold=0.5] | 0 |
| LR_4[cache_size=0.1,treshold=0.5] | 0 |
| LR_5[cache_size=0.1,treshold=0.5] | 0 |
| LR_6[cache_size=0.1,treshold=0.5] | 0 |
| LR_7[cache_size=0.1,treshold=0.5] | 0 |
| LR_8[cache_size=0.1,treshold=0.5] | 0 |
| LR_9[cache_size=0.1,treshold=0.5] | 0 |
| LR_1[cache_size=0.2,treshold=0.5] | 0 |
| LR_2[cache_size=0.2,treshold=0.5] | 0 |
| LR_3[cache_size=0.2,treshold=0.5] | 0 |
| LR_4[cache_size=0.2,treshold=0.5] | 0 |
| LR_5[cache_size=0.2,treshold=0.5] | 0 |
| LR_6[cache_size=0.2,treshold=0.5] | 0 |
| LR_7[cache_size=0.2,treshold=0.5] | 0 |
| LR_8[cache_size=0.2,treshold=0.5] | 0 |
| LR_9[cache_size=0.2,treshold=0.5] | 0 |
| LR_1[cache_size=0.4,treshold=0.5] | 0 |
| LR_2[cache_size=0.4,treshold=0.5] | 0 |
| LR_3[cache_size=0.4,treshold=0.5] | 0 |
| LR_4[cache_size=0.4,treshold=0.5] | 0 |
| LR_5[cache_size=0.4,treshold=0.5] | 0 |
| LR_6[cache_size=0.4,treshold=0.5] | 0 |
| LR_7[cache_size=0.4,treshold=0.5] | 0 |
| LR_8[cache_size=0.4,treshold=0.5] | 0 |
| LR_9[cache_size=0.4,treshold=0.5] | 0 |
| Offline Clock 1st iteration | 0 |
| Offline Clock 2nd iteration | 100 |
| Zipf Optimal Distribution | 100 |
| Model | Max | Min | Avg | Mdn |
| LR_1[cache_size=0.01,treshold=0.5] | 54.1189 | 54.0982 | 54.1064 | 54.1065 |
| LR_2[cache_size=0.01,treshold=0.5] | 45.8245 | 45.7926 | 45.8099 | 45.8127 |
| LR_3[cache_size=0.01,treshold=0.5] | 45.633 | 45.6 | 45.6171 | 45.6197 |
| LR_4[cache_size=0.01,treshold=0.5] | 53.9201 | 53.9058 | 53.912 | 53.9113 |
| LR_5[cache_size=0.01,treshold=0.5] | 53.9286 | 53.9138 | 53.9211 | 53.9193 |
| LR_6[cache_size=0.01,treshold=0.5] | 53.9196 | 53.9049 | 53.9117 | 53.9102 |
| LR_7[cache_size=0.01,treshold=0.5] | 58.0835 | 58.065 | 58.0713 | 58.0668 |
| LR_8[cache_size=0.01,treshold=0.5] | 58.1436 | 58.1251 | 58.1344 | 58.1308 |
| LR_9[cache_size=0.01,treshold=0.5] | 58.3317 | 58.3163 | 58.3231 | 58.3185 |
| LR_1[cache_size=0.1,treshold=0.5] | 50.7059 | 50.6403 | 50.6794 | 50.6869 |
| LR_2[cache_size=0.1,treshold=0.5] | 45.2205 | 45.1853 | 45.2007 | 45.1962 |
| LR_3[cache_size=0.1,treshold=0.5] | 45.2239 | 45.1878 | 45.2031 | 45.1982 |
| LR_4[cache_size=0.1,treshold=0.5] | 51.9413 | 51.8676 | 51.912 | 51.9257 |
| LR_5[cache_size=0.1,treshold=0.5] | 51.958 | 51.8825 | 51.9285 | 51.9419 |
| LR_6[cache_size=0.1,treshold=0.5] | 51.9456 | 51.8704 | 51.9155 | 51.9291 |
| LR_7[cache_size=0.1,treshold=0.5] | 59.2362 | 59.1994 | 59.2233 | 59.2247 |
| LR_8[cache_size=0.1,treshold=0.5] | 59.2181 | 59.1829 | 59.2057 | 59.2066 |
| LR_9[cache_size=0.1,treshold=0.5] | 59.2617 | 59.2255 | 59.249 | 59.2495 |
| LR_1[cache_size=0.2,treshold=0.5] | 48.9285 | 48.8866 | 48.9053 | 48.9058 |
| LR_2[cache_size=0.2,treshold=0.5] | 45.075 | 45.026 | 45.0504 | 45.0499 |
| LR_3[cache_size=0.2,treshold=0.5] | 45.0802 | 45.0312 | 45.0553 | 45.0549 |
| LR_4[cache_size=0.2,treshold=0.5] | 49.6087 | 49.5556 | 49.5781 | 49.5801 |
| LR_5[cache_size=0.2,treshold=0.5] | 49.5957 | 49.5459 | 49.5672 | 49.5682 |
| LR_6[cache_size=0.2,treshold=0.5] | 49.606 | 49.5576 | 49.5778 | 49.5788 |
| LR_7[cache_size=0.2,treshold=0.5] | 59.3858 | 59.3529 | 59.3682 | 59.3645 |
| LR_8[cache_size=0.2,treshold=0.5] | 59.3779 | 59.3451 | 59.3604 | 59.3574 |
| LR_9[cache_size=0.2,treshold=0.5] | 59.4066 | 59.3738 | 59.3893 | 59.3861 |
| LR_1[cache_size=0.4,treshold=0.5] | 47.679 | 47.6248 | 47.6513 | 47.6471 |
| LR_2[cache_size=0.4,treshold=0.5] | 52.7435 | 52.6838 | 52.7129 | 52.7113 |
| LR_3[cache_size=0.4,treshold=0.5] | 45.4591 | 45.3881 | 45.4196 | 45.421 |
| LR_4[cache_size=0.4,treshold=0.5] | 49.0559 | 48.9897 | 49.0205 | 49.0172 |
| LR_5[cache_size=0.4,treshold=0.5] | 47.7061 | 47.6488 | 47.6741 | 47.6681 |
| LR_6[cache_size=0.4,treshold=0.5] | 47.7233 | 47.6627 | 47.6897 | 47.6849 |
| LR_7[cache_size=0.4,treshold=0.5] | 59.5458 | 59.4938 | 59.514 | 59.5067 |
| LR_8[cache_size=0.4,treshold=0.5] | 59.5418 | 59.49 | 59.5097 | 59.5021 |
| LR_9[cache_size=0.4,treshold=0.5] | 59.5489 | 59.4975 | 59.517 | 59.5096 |
| 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_1[cache_size=0.01,treshold=0.5] | -3.30088 | -3.31167 | -3.30621 | -3.30691 |
| LR_2[cache_size=0.01,treshold=0.5] | -3.71197 | -3.72137 | -3.71727 | -3.71805 |
| LR_3[cache_size=0.01,treshold=0.5] | -3.69174 | -3.70039 | -3.69644 | -3.69733 |
| LR_4[cache_size=0.01,treshold=0.5] | -3.15258 | -3.16482 | -3.15825 | -3.15861 |
| LR_5[cache_size=0.01,treshold=0.5] | -3.15356 | -3.16581 | -3.15929 | -3.15935 |
| LR_6[cache_size=0.01,treshold=0.5] | -3.15258 | -3.16482 | -3.15825 | -3.15861 |
| LR_7[cache_size=0.01,treshold=0.5] | -3.68557 | -3.70064 | -3.69388 | -3.69557 |
| LR_8[cache_size=0.01,treshold=0.5] | -3.6952 | -3.71076 | -3.7035 | -3.70497 |
| LR_9[cache_size=0.01,treshold=0.5] | -3.71543 | -3.73001 | -3.72275 | -3.72372 |
| LR_1[cache_size=0.1,treshold=0.5] | -4.14973 | -4.16384 | -4.15709 | -4.1564 |
| LR_2[cache_size=0.1,treshold=0.5] | -5.38921 | -5.40088 | -5.39681 | -5.3983 |
| LR_3[cache_size=0.1,treshold=0.5] | -5.38968 | -5.4014 | -5.39718 | -5.39877 |
| LR_4[cache_size=0.1,treshold=0.5] | -4.00101 | -4.01699 | -4.00877 | -4.00686 |
| LR_5[cache_size=0.1,treshold=0.5] | -4.00382 | -4.02073 | -4.01223 | -4.01013 |
| LR_6[cache_size=0.1,treshold=0.5] | -4.00101 | -4.01745 | -4.00915 | -4.00733 |
| LR_7[cache_size=0.1,treshold=0.5] | -5.06395 | -5.07163 | -5.06717 | -5.06612 |
| LR_8[cache_size=0.1,treshold=0.5] | -5.06255 | -5.07022 | -5.06567 | -5.06472 |
| LR_9[cache_size=0.1,treshold=0.5] | -5.06676 | -5.07443 | -5.07025 | -5.06939 |
| LR_1[cache_size=0.2,treshold=0.5] | -4.34532 | -4.3589 | -4.3518 | -4.35281 |
| LR_2[cache_size=0.2,treshold=0.5] | -6.12635 | -6.15169 | -6.14085 | -6.14131 |
| LR_3[cache_size=0.2,treshold=0.5] | -6.127 | -6.15235 | -6.14164 | -6.14262 |
| LR_4[cache_size=0.2,treshold=0.5] | -4.18562 | -4.20051 | -4.19182 | -4.19302 |
| LR_5[cache_size=0.2,treshold=0.5] | -4.18955 | -4.20378 | -4.19562 | -4.1963 |
| LR_6[cache_size=0.2,treshold=0.5] | -4.18562 | -4.1992 | -4.19169 | -4.19237 |
| LR_7[cache_size=0.2,treshold=0.5] | -5.35066 | -5.36681 | -5.35865 | -5.35646 |
| LR_8[cache_size=0.2,treshold=0.5] | -5.35066 | -5.36615 | -5.35839 | -5.35581 |
| LR_9[cache_size=0.2,treshold=0.5] | -5.35393 | -5.37008 | -5.36205 | -5.35997 |
| LR_1[cache_size=0.4,treshold=0.5] | -4.27173 | -4.33018 | -4.29553 | -4.28948 |
| LR_2[cache_size=0.4,treshold=0.5] | -8.08884 | -8.14444 | -8.11281 | -8.11011 |
| LR_3[cache_size=0.4,treshold=0.5] | -6.61497 | -6.67559 | -6.64662 | -6.65118 |
| LR_4[cache_size=0.4,treshold=0.5] | -4.48902 | -4.54879 | -4.51535 | -4.50886 |
| LR_5[cache_size=0.4,treshold=0.5] | -4.22293 | -4.27991 | -4.24724 | -4.24121 |
| LR_6[cache_size=0.4,treshold=0.5] | -4.20755 | -4.2653 | -4.23215 | -4.22583 |
| LR_7[cache_size=0.4,treshold=0.5] | -5.12316 | -5.18121 | -5.15563 | -5.15518 |
| LR_8[cache_size=0.4,treshold=0.5] | -5.12417 | -5.18121 | -5.15596 | -5.15551 |
| LR_9[cache_size=0.4,treshold=0.5] | -5.12361 | -5.18166 | -5.15587 | -5.15506 |
| 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 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_4[cache_size=0.01,treshold=0.5] | 53.912 | -3.15825 |
| LR_6[cache_size=0.01,treshold=0.5] | 53.9117 | -3.15825 |
| LR_5[cache_size=0.01,treshold=0.5] | 53.9211 | -3.15929 |
| LR_1[cache_size=0.01,treshold=0.5] | 54.1064 | -3.30621 |
| LR_7[cache_size=0.01,treshold=0.5] | 58.0713 | -3.69388 |
| LR_3[cache_size=0.01,treshold=0.5] | 45.6171 | -3.69644 |
| LR_8[cache_size=0.01,treshold=0.5] | 58.1344 | -3.7035 |
| LR_2[cache_size=0.01,treshold=0.5] | 45.8099 | -3.71727 |
| LR_9[cache_size=0.01,treshold=0.5] | 58.3231 | -3.72275 |
| LR_4[cache_size=0.1,treshold=0.5] | 51.912 | -4.00877 |
| LR_6[cache_size=0.1,treshold=0.5] | 51.9155 | -4.00915 |
| LR_5[cache_size=0.1,treshold=0.5] | 51.9285 | -4.01223 |
| LR_1[cache_size=0.1,treshold=0.5] | 50.6794 | -4.15709 |
| LR_6[cache_size=0.2,treshold=0.5] | 49.5778 | -4.19169 |
| LR_4[cache_size=0.2,treshold=0.5] | 49.5781 | -4.19182 |
| LR_5[cache_size=0.2,treshold=0.5] | 49.5672 | -4.19562 |
| LR_6[cache_size=0.4,treshold=0.5] | 47.6897 | -4.23215 |
| LR_5[cache_size=0.4,treshold=0.5] | 47.6741 | -4.24724 |
| LR_1[cache_size=0.4,treshold=0.5] | 47.6513 | -4.29553 |
| LR_1[cache_size=0.2,treshold=0.5] | 48.9053 | -4.3518 |
| LR_4[cache_size=0.4,treshold=0.5] | 49.0205 | -4.51535 |
| LR_8[cache_size=0.1,treshold=0.5] | 59.2057 | -5.06567 |
| LR_7[cache_size=0.1,treshold=0.5] | 59.2233 | -5.06717 |
| LR_9[cache_size=0.1,treshold=0.5] | 59.249 | -5.07025 |
| LR_7[cache_size=0.4,treshold=0.5] | 59.514 | -5.15563 |
| LR_9[cache_size=0.4,treshold=0.5] | 59.517 | -5.15587 |
| LR_8[cache_size=0.4,treshold=0.5] | 59.5097 | -5.15596 |
| LR_8[cache_size=0.2,treshold=0.5] | 59.3604 | -5.35839 |
| LR_7[cache_size=0.2,treshold=0.5] | 59.3682 | -5.35865 |
| LR_9[cache_size=0.2,treshold=0.5] | 59.3893 | -5.36205 |
| LR_2[cache_size=0.1,treshold=0.5] | 45.2007 | -5.39681 |
| LR_3[cache_size=0.1,treshold=0.5] | 45.2031 | -5.39718 |
| LR_2[cache_size=0.2,treshold=0.5] | 45.0504 | -6.14085 |
| LR_3[cache_size=0.2,treshold=0.5] | 45.0553 | -6.14164 |
| LR_3[cache_size=0.4,treshold=0.5] | 45.4196 | -6.64662 |
| LR_2[cache_size=0.4,treshold=0.5] | 52.7129 | -8.11281 |
Cache Size 0.01
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
| Offline Clock 2nd iteration | 42.0861 | 0.362449 |
| Zipf Optimal Distribution | 8.83002 | 0.192773 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_4[cache_size=0.01,treshold=0.5] | 53.912 | -3.15825 |
| LR_6[cache_size=0.01,treshold=0.5] | 53.9117 | -3.15825 |
| LR_5[cache_size=0.01,treshold=0.5] | 53.9211 | -3.15929 |
| LR_1[cache_size=0.01,treshold=0.5] | 54.1064 | -3.30621 |
| LR_7[cache_size=0.01,treshold=0.5] | 58.0713 | -3.69388 |
| LR_3[cache_size=0.01,treshold=0.5] | 45.6171 | -3.69644 |
| LR_8[cache_size=0.01,treshold=0.5] | 58.1344 | -3.7035 |
| LR_2[cache_size=0.01,treshold=0.5] | 45.8099 | -3.71727 |
| LR_9[cache_size=0.01,treshold=0.5] | 58.3231 | -3.72275 |
Cache Size 0.1
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
| Offline Clock 2nd iteration | 43.0216 | 1.84971 |
| Zipf Optimal Distribution | 13.1079 | 0.901478 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_4[cache_size=0.1,treshold=0.5] | 51.912 | -4.00877 |
| LR_6[cache_size=0.1,treshold=0.5] | 51.9155 | -4.00915 |
| LR_5[cache_size=0.1,treshold=0.5] | 51.9285 | -4.01223 |
| LR_1[cache_size=0.1,treshold=0.5] | 50.6794 | -4.15709 |
| LR_8[cache_size=0.1,treshold=0.5] | 59.2057 | -5.06567 |
| LR_7[cache_size=0.1,treshold=0.5] | 59.2233 | -5.06717 |
| LR_9[cache_size=0.1,treshold=0.5] | 59.249 | -5.07025 |
| LR_2[cache_size=0.1,treshold=0.5] | 45.2007 | -5.39681 |
| LR_3[cache_size=0.1,treshold=0.5] | 45.2031 | -5.39718 |
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 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_6[cache_size=0.2,treshold=0.5] | 49.5778 | -4.19169 |
| LR_4[cache_size=0.2,treshold=0.5] | 49.5781 | -4.19182 |
| LR_5[cache_size=0.2,treshold=0.5] | 49.5672 | -4.19562 |
| LR_1[cache_size=0.2,treshold=0.5] | 48.9053 | -4.3518 |
| LR_8[cache_size=0.2,treshold=0.5] | 59.3604 | -5.35839 |
| LR_7[cache_size=0.2,treshold=0.5] | 59.3682 | -5.35865 |
| LR_9[cache_size=0.2,treshold=0.5] | 59.3893 | -5.36205 |
| LR_2[cache_size=0.2,treshold=0.5] | 45.0504 | -6.14085 |
| LR_3[cache_size=0.2,treshold=0.5] | 45.0553 | -6.14164 |
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 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_6[cache_size=0.4,treshold=0.5] | 47.6897 | -4.23215 |
| LR_5[cache_size=0.4,treshold=0.5] | 47.6741 | -4.24724 |
| LR_1[cache_size=0.4,treshold=0.5] | 47.6513 | -4.29553 |
| LR_4[cache_size=0.4,treshold=0.5] | 49.0205 | -4.51535 |
| LR_7[cache_size=0.4,treshold=0.5] | 59.514 | -5.15563 |
| LR_9[cache_size=0.4,treshold=0.5] | 59.517 | -5.15587 |
| LR_8[cache_size=0.4,treshold=0.5] | 59.5097 | -5.15596 |
| LR_3[cache_size=0.4,treshold=0.5] | 45.4196 | -6.64662 |
| LR_2[cache_size=0.4,treshold=0.5] | 52.7129 | -8.11281 |
Cache Size All
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
| Offline Clock 2nd iteration | 43.0175 | 1.84941 |
| Zipf Optimal Distribution | 13.1121 | 0.902408 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_4[cache_size=0.01,treshold=0.5] | 53.9113 | -3.15861 |
| LR_6[cache_size=0.01,treshold=0.5] | 53.9102 | -3.15861 |
| LR_5[cache_size=0.01,treshold=0.5] | 53.9193 | -3.15935 |
| LR_1[cache_size=0.01,treshold=0.5] | 54.1065 | -3.30691 |
| LR_7[cache_size=0.01,treshold=0.5] | 58.0668 | -3.69557 |
| LR_3[cache_size=0.01,treshold=0.5] | 45.6197 | -3.69733 |
| LR_8[cache_size=0.01,treshold=0.5] | 58.1308 | -3.70497 |
| LR_2[cache_size=0.01,treshold=0.5] | 45.8127 | -3.71805 |
| LR_9[cache_size=0.01,treshold=0.5] | 58.3185 | -3.72372 |
| LR_4[cache_size=0.1,treshold=0.5] | 51.9257 | -4.00686 |
| LR_6[cache_size=0.1,treshold=0.5] | 51.9291 | -4.00733 |
| LR_5[cache_size=0.1,treshold=0.5] | 51.9419 | -4.01013 |
| LR_1[cache_size=0.1,treshold=0.5] | 50.6869 | -4.1564 |
| LR_6[cache_size=0.2,treshold=0.5] | 49.5788 | -4.19237 |
| LR_4[cache_size=0.2,treshold=0.5] | 49.5801 | -4.19302 |
| LR_5[cache_size=0.2,treshold=0.5] | 49.5682 | -4.1963 |
| LR_6[cache_size=0.4,treshold=0.5] | 47.6849 | -4.22583 |
| LR_5[cache_size=0.4,treshold=0.5] | 47.6681 | -4.24121 |
| LR_1[cache_size=0.4,treshold=0.5] | 47.6471 | -4.28948 |
| LR_1[cache_size=0.2,treshold=0.5] | 48.9058 | -4.35281 |
| LR_4[cache_size=0.4,treshold=0.5] | 49.0172 | -4.50886 |
| LR_8[cache_size=0.1,treshold=0.5] | 59.2066 | -5.06472 |
| LR_7[cache_size=0.1,treshold=0.5] | 59.2247 | -5.06612 |
| LR_9[cache_size=0.1,treshold=0.5] | 59.2495 | -5.06939 |
| LR_9[cache_size=0.4,treshold=0.5] | 59.5096 | -5.15506 |
| LR_7[cache_size=0.4,treshold=0.5] | 59.5067 | -5.15518 |
| LR_8[cache_size=0.4,treshold=0.5] | 59.5021 | -5.15551 |
| LR_8[cache_size=0.2,treshold=0.5] | 59.3574 | -5.35581 |
| LR_7[cache_size=0.2,treshold=0.5] | 59.3645 | -5.35646 |
| LR_9[cache_size=0.2,treshold=0.5] | 59.3861 | -5.35997 |
| LR_2[cache_size=0.1,treshold=0.5] | 45.1962 | -5.3983 |
| LR_3[cache_size=0.1,treshold=0.5] | 45.1982 | -5.39877 |
| LR_2[cache_size=0.2,treshold=0.5] | 45.0499 | -6.14131 |
| LR_3[cache_size=0.2,treshold=0.5] | 45.0549 | -6.14262 |
| LR_3[cache_size=0.4,treshold=0.5] | 45.421 | -6.65118 |
| LR_2[cache_size=0.4,treshold=0.5] | 52.7113 | -8.11011 |
Cache Size 0.01
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
| Offline Clock 2nd iteration | 42.0861 | 0.361512 |
| Zipf Optimal Distribution | 8.82408 | 0.192718 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_4[cache_size=0.01,treshold=0.5] | 53.9113 | -3.15861 |
| LR_6[cache_size=0.01,treshold=0.5] | 53.9102 | -3.15861 |
| LR_5[cache_size=0.01,treshold=0.5] | 53.9193 | -3.15935 |
| LR_1[cache_size=0.01,treshold=0.5] | 54.1065 | -3.30691 |
| LR_7[cache_size=0.01,treshold=0.5] | 58.0668 | -3.69557 |
| LR_3[cache_size=0.01,treshold=0.5] | 45.6197 | -3.69733 |
| LR_8[cache_size=0.01,treshold=0.5] | 58.1308 | -3.70497 |
| LR_2[cache_size=0.01,treshold=0.5] | 45.8127 | -3.71805 |
| LR_9[cache_size=0.01,treshold=0.5] | 58.3185 | -3.72372 |
Cache Size 0.1
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
| Offline Clock 2nd iteration | 43.0175 | 1.84941 |
| Zipf Optimal Distribution | 13.1121 | 0.902408 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_4[cache_size=0.1,treshold=0.5] | 51.9257 | -4.00686 |
| LR_6[cache_size=0.1,treshold=0.5] | 51.9291 | -4.00733 |
| LR_5[cache_size=0.1,treshold=0.5] | 51.9419 | -4.01013 |
| LR_1[cache_size=0.1,treshold=0.5] | 50.6869 | -4.1564 |
| LR_8[cache_size=0.1,treshold=0.5] | 59.2066 | -5.06472 |
| LR_7[cache_size=0.1,treshold=0.5] | 59.2247 | -5.06612 |
| LR_9[cache_size=0.1,treshold=0.5] | 59.2495 | -5.06939 |
| LR_2[cache_size=0.1,treshold=0.5] | 45.1962 | -5.3983 |
| LR_3[cache_size=0.1,treshold=0.5] | 45.1982 | -5.39877 |
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 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_6[cache_size=0.2,treshold=0.5] | 49.5788 | -4.19237 |
| LR_4[cache_size=0.2,treshold=0.5] | 49.5801 | -4.19302 |
| LR_5[cache_size=0.2,treshold=0.5] | 49.5682 | -4.1963 |
| LR_1[cache_size=0.2,treshold=0.5] | 48.9058 | -4.35281 |
| LR_8[cache_size=0.2,treshold=0.5] | 59.3574 | -5.35581 |
| LR_7[cache_size=0.2,treshold=0.5] | 59.3645 | -5.35646 |
| LR_9[cache_size=0.2,treshold=0.5] | 59.3861 | -5.35997 |
| LR_2[cache_size=0.2,treshold=0.5] | 45.0499 | -6.14131 |
| LR_3[cache_size=0.2,treshold=0.5] | 45.0549 | -6.14262 |
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 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_6[cache_size=0.4,treshold=0.5] | 47.6849 | -4.22583 |
| LR_5[cache_size=0.4,treshold=0.5] | 47.6681 | -4.24121 |
| LR_1[cache_size=0.4,treshold=0.5] | 47.6471 | -4.28948 |
| LR_4[cache_size=0.4,treshold=0.5] | 49.0172 | -4.50886 |
| LR_9[cache_size=0.4,treshold=0.5] | 59.5096 | -5.15506 |
| LR_7[cache_size=0.4,treshold=0.5] | 59.5067 | -5.15518 |
| LR_8[cache_size=0.4,treshold=0.5] | 59.5021 | -5.15551 |
| LR_3[cache_size=0.4,treshold=0.5] | 45.421 | -6.65118 |
| LR_2[cache_size=0.4,treshold=0.5] | 52.7113 | -8.11011 |
Model Classification Report
LR_1
0.01
Treshold: 0.5
All
precision recall f1-score support
0 0.86 0.68 0.76 30231476
1 0.63 0.83 0.72 19809713
accuracy 0.74 50041189
macro avg 0.74 0.76 0.74 50041189
weighted avg 0.77 0.74 0.74 50041189
Accuracy: 0.7399302402666731
0.1
Treshold: 0.5
All
precision recall f1-score support
0 0.86 0.73 0.79 29263977
1 0.67 0.82 0.74 18981990
accuracy 0.77 48245967
macro avg 0.76 0.78 0.76 48245967
weighted avg 0.79 0.77 0.77 48245967
Accuracy: 0.7676230637060296
0.2
Treshold: 0.5
All
precision recall f1-score support
0 0.87 0.75 0.81 28400293
1 0.67 0.81 0.74 17762125
accuracy 0.78 46162418
macro avg 0.77 0.78 0.77 46162418
weighted avg 0.79 0.78 0.78 46162418
Accuracy: 0.7765185523860557
0.4
Treshold: 0.5
All
precision recall f1-score support
0 0.87 0.77 0.82 26121772
1 0.66 0.80 0.72 14505950
accuracy 0.78 40627722
macro avg 0.76 0.78 0.77 40627722
weighted avg 0.79 0.78 0.78 40627722
Accuracy: 0.7780763587975718
LR_2
0.01
Treshold: 0.5
All
precision recall f1-score support
0 0.75 0.71 0.73 30231476
1 0.59 0.63 0.61 19809713
accuracy 0.68 50041189
macro avg 0.67 0.67 0.67 50041189
weighted avg 0.68 0.68 0.68 50041189
Accuracy: 0.6778870302222435
0.1
Treshold: 0.5
All
precision recall f1-score support
0 0.78 0.73 0.75 29263977
1 0.62 0.68 0.65 18981990
accuracy 0.71 48245967
macro avg 0.70 0.70 0.70 48245967
weighted avg 0.72 0.71 0.71 48245967
Accuracy: 0.7090260414927532
0.2
Treshold: 0.5
All
precision recall f1-score support
0 0.80 0.74 0.77 28400293
1 0.63 0.71 0.67 17762125
accuracy 0.73 46162418
macro avg 0.72 0.72 0.72 46162418
weighted avg 0.74 0.73 0.73 46162418
Accuracy: 0.7284046299307805
0.4
Treshold: 0.5
All
precision recall f1-score support
0 0.85 0.69 0.77 26121772
1 0.59 0.78 0.67 14505950
accuracy 0.73 40627722
macro avg 0.72 0.74 0.72 40627722
weighted avg 0.76 0.73 0.73 40627722
Accuracy: 0.726333216516545
LR_3
0.01
Treshold: 0.5
All
precision recall f1-score support
0 0.75 0.71 0.73 30231476
1 0.59 0.63 0.61 19809713
accuracy 0.68 50041189
macro avg 0.67 0.67 0.67 50041189
weighted avg 0.68 0.68 0.68 50041189
Accuracy: 0.6782051881301222
0.1
Treshold: 0.5
All
precision recall f1-score support
0 0.78 0.73 0.75 29263977
1 0.62 0.68 0.65 18981990
accuracy 0.71 48245967
macro avg 0.70 0.70 0.70 48245967
weighted avg 0.72 0.71 0.71 48245967
Accuracy: 0.7090318243595366
0.2
Treshold: 0.5
All
precision recall f1-score support
0 0.80 0.74 0.77 28400293
1 0.63 0.71 0.67 17762125
accuracy 0.73 46162418
macro avg 0.72 0.72 0.72 46162418
weighted avg 0.74 0.73 0.73 46162418
Accuracy: 0.7283977628728201
0.4
Treshold: 0.5
All
precision recall f1-score support
0 0.84 0.76 0.80 26121772
1 0.63 0.74 0.68 14505950
accuracy 0.75 40627722
macro avg 0.74 0.75 0.74 40627722
weighted avg 0.77 0.75 0.76 40627722
Accuracy: 0.7534139866370061
LR_4
0.01
Treshold: 0.5
All
precision recall f1-score support
0 0.86 0.69 0.76 30231476
1 0.64 0.83 0.72 19809713
accuracy 0.74 50041189
macro avg 0.75 0.76 0.74 50041189
weighted avg 0.77 0.74 0.75 50041189
Accuracy: 0.7441577777058814
0.1
Treshold: 0.5
All
precision recall f1-score support
0 0.86 0.72 0.78 29263977
1 0.65 0.82 0.73 18981990
accuracy 0.76 48245967
macro avg 0.76 0.77 0.76 48245967
weighted avg 0.78 0.76 0.76 48245967
Accuracy: 0.7597472551436268
0.2
Treshold: 0.5
All
precision recall f1-score support
0 0.87 0.75 0.80 28400293
1 0.67 0.81 0.73 17762125
accuracy 0.77 46162418
macro avg 0.77 0.78 0.77 46162418
weighted avg 0.79 0.77 0.78 46162418
Accuracy: 0.7725367852264584
0.4
Treshold: 0.5
All
precision recall f1-score support
0 0.87 0.75 0.81 26121772
1 0.64 0.80 0.72 14505950
accuracy 0.77 40627722
macro avg 0.76 0.78 0.76 40627722
weighted avg 0.79 0.77 0.78 40627722
Accuracy: 0.7714900924053778
LR_5
0.01
Treshold: 0.5
All
precision recall f1-score support
0 0.86 0.69 0.76 30231476
1 0.64 0.83 0.72 19809713
accuracy 0.74 50041189
macro avg 0.75 0.76 0.74 50041189
weighted avg 0.77 0.74 0.75 50041189
Accuracy: 0.7441325384974365
0.1
Treshold: 0.5
All
precision recall f1-score support
0 0.86 0.72 0.78 29263977
1 0.65 0.82 0.73 18981990
accuracy 0.76 48245967
macro avg 0.76 0.77 0.76 48245967
weighted avg 0.78 0.76 0.76 48245967
Accuracy: 0.7597230873204386
0.2
Treshold: 0.5
All
precision recall f1-score support
0 0.87 0.75 0.80 28400293
1 0.67 0.81 0.73 17762125
accuracy 0.77 46162418
macro avg 0.77 0.78 0.77 46162418
weighted avg 0.79 0.77 0.78 46162418
Accuracy: 0.7726382963734698
0.4
Treshold: 0.5
All
precision recall f1-score support
0 0.87 0.77 0.82 26121772
1 0.66 0.80 0.72 14505950
accuracy 0.78 40627722
macro avg 0.76 0.78 0.77 40627722
weighted avg 0.79 0.78 0.78 40627722
Accuracy: 0.7777381414591741
LR_6
0.01
Treshold: 0.5
All
precision recall f1-score support
0 0.86 0.69 0.76 30231476
1 0.64 0.83 0.72 19809713
accuracy 0.74 50041189
macro avg 0.75 0.76 0.74 50041189
weighted avg 0.77 0.74 0.75 50041189
Accuracy: 0.744151862578645
0.1
Treshold: 0.5
All
precision recall f1-score support
0 0.86 0.72 0.78 29263977
1 0.65 0.82 0.73 18981990
accuracy 0.76 48245967
macro avg 0.76 0.77 0.76 48245967
weighted avg 0.78 0.76 0.76 48245967
Accuracy: 0.759735938135513
0.2
Treshold: 0.5
All
precision recall f1-score support
0 0.87 0.75 0.80 28400293
1 0.67 0.81 0.73 17762125
accuracy 0.77 46162418
macro avg 0.77 0.78 0.77 46162418
weighted avg 0.79 0.77 0.78 46162418
Accuracy: 0.7725369801902491
0.4
Treshold: 0.5
All
precision recall f1-score support
0 0.87 0.77 0.82 26121772
1 0.65 0.80 0.72 14505950
accuracy 0.78 40627722
macro avg 0.76 0.78 0.77 40627722
weighted avg 0.79 0.78 0.78 40627722
Accuracy: 0.7776248198213033
LR_7
0.01
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: 0.7031807246844353
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
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 0.01 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
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
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 0.00 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
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
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
0.1
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
0.2
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 0.86 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
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
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 0.84 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
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
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
0.4
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: 0.738061632610684
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
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 0.36 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
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
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
LR_8
0.01
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: 0.7256453880155708
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: 0.7256452875842847
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: 0.7027367522037746
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: 0.70273686365384
1-10%
precision recall f1-score support
0 0.10 0.01 0.02 287564
1 0.94 0.99 0.96 4164787
accuracy 0.93 4452351
macro avg 0.52 0.50 0.49 4452351
weighted avg 0.88 0.93 0.90 4452351
Accuracy: 0.9287387719431823
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: 0.723140995936936
10-20%
precision recall f1-score support
0 0.04 0.01 0.02 2455
1 0.99 1.00 0.99 257616
accuracy 0.99 260071
macro avg 0.51 0.50 0.51 260071
weighted avg 0.98 0.99 0.98 260071
Accuracy: 0.987464961491285
precision recall f1-score support
0 0.84 0.64 0.72 28054607
1 0.64 0.84 0.73 21520956
accuracy 0.72 49575563
macro avg 0.74 0.74 0.72 49575563
weighted avg 0.75 0.72 0.72 49575563
Accuracy: 0.7245276266454099
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: 0.7252297321955411
precision recall f1-score support
0 0.02 0.02 0.02 659
1 1.00 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.51 0.51 0.51 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.990474521249438
40-80%
precision recall f1-score support
0 0.02 0.07 0.03 169
1 1.00 0.99 0.99 65234
accuracy 0.99 65403
macro avg 0.51 0.53 0.51 65403
weighted avg 1.00 0.99 0.99 65403
Accuracy: 0.989190098313533
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: 0.7255765885180104
80-90%
precision recall f1-score support
0 0.01 0.07 0.02 15
1 1.00 0.99 0.99 7371
accuracy 0.99 7386
macro avg 0.51 0.53 0.51 7386
weighted avg 1.00 0.99 0.99 7386
Accuracy: 0.9883563498510696
90-100%
precision recall f1-score support
0 0.06 0.22 0.09 18
1 1.00 0.99 0.99 5686
accuracy 0.99 5704
macro avg 0.53 0.61 0.54 5704
weighted avg 0.99 0.99 0.99 5704
Accuracy: 0.9857994389901823
0.1
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: 0.7341861236240482
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: 0.7341861236240482
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: 0.8826342317208923
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: 0.8826342317208923
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: 0.7066991432323785
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: 0.6273036451896472
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: 0.7194057437204934
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: 0.8513390730931346
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: 0.7281674904595965
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: 0.9113830454792052
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: 0.7331493976205382
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: 0.9421988525131229
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: 0.9537311748202135
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: 0.9557724231601187
0.2
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: 0.7366924730292422
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: 0.7366924730292422
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: 0.9834992017363132
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: 0.9834992017363132
1-10%
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: 0.7125415536654481
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: 0.6596058820289695
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: 0.7125601674386367
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: 0.7126340499956774
20-40%
precision recall f1-score support
0 0.84 0.65 0.73 24625160
1 0.63 0.82 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: 0.7247647293475954
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: 0.8196529694124228
40-80%
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: 0.7344498985378521
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: 0.8846141684107418
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: 0.9114885412669772
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: 0.9161088764483176
0.4
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: 0.7380751363331257
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: 0.7380751363331257
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: 0.8480883938385161
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: 0.8295643927831697
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: 0.7513015406011977
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: 0.5954560630330572
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: 0.6660389963040342
40-80%
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: 0.7679885653028408
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: 0.7348150177349102
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: 0.8173909504003789
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: 0.8274458315827381
LR_9
0.01
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 0.72 49785283
macro avg 0.74 0.74 0.72 49785283
weighted avg 0.75 0.72 0.72 49785283
Accuracy: 0.7248628274343645
precision recall f1-score support
0 0.84 0.64 0.72 28055468
1 0.64 0.84 0.73 21729815
accuracy 0.72 49785283
macro avg 0.74 0.74 0.72 49785283
weighted avg 0.75 0.72 0.72 49785283
Accuracy: 0.72486278726185
0-1%
precision recall f1-score support
0 0.84 0.64 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: 0.701951341302652
1-10%
precision recall f1-score support
0 0.10 0.01 0.02 287564
1 0.94 0.99 0.96 4164787
accuracy 0.93 4452351
macro avg 0.52 0.50 0.49 4452351
weighted avg 0.88 0.93 0.90 4452351
Accuracy: 0.9280243179389944
precision recall f1-score support
0 0.84 0.64 0.72 28052152
1 0.64 0.84 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: 0.7223619506827591
10-20%
precision recall f1-score support
0 0.05 0.02 0.03 2455
1 0.99 1.00 0.99 257616
accuracy 0.99 260071
macro avg 0.52 0.51 0.51 260071
weighted avg 0.98 0.99 0.98 260071
Accuracy: 0.986534446362724
precision recall f1-score support
0 0.84 0.64 0.72 28054607
1 0.64 0.84 0.72 21520956
accuracy 0.72 49575563
macro avg 0.74 0.74 0.72 49575563
weighted avg 0.75 0.72 0.72 49575563
Accuracy: 0.7237477867876155
20-40%
precision recall f1-score support
0 0.84 0.64 0.72 28055266
1 0.64 0.84 0.73 21651524
accuracy 0.72 49706790
macro avg 0.74 0.74 0.72 49706790
weighted avg 0.75 0.72 0.72 49706790
Accuracy: 0.7244478269467813
precision recall f1-score support
0 0.03 0.04 0.03 659
1 1.00 0.99 0.99 130568
accuracy 0.99 131227
macro avg 0.51 0.52 0.51 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9889123427343458
40-80%
precision recall f1-score support
0 0.02 0.08 0.03 169
1 1.00 0.99 0.99 65234
accuracy 0.99 65403
macro avg 0.51 0.54 0.51 65403
weighted avg 1.00 0.99 0.99 65403
Accuracy: 0.9879057535587052
precision recall f1-score support
0 0.84 0.64 0.72 28055435
1 0.64 0.84 0.73 21716758
accuracy 0.72 49772193
macro avg 0.74 0.74 0.72 49772193
weighted avg 0.75 0.72 0.72 49772193
Accuracy: 0.7247940230401341
80-90%
precision recall f1-score support
0 0.01 0.07 0.02 15
1 1.00 0.99 0.99 7371
accuracy 0.99 7386
macro avg 0.51 0.53 0.51 7386
weighted avg 1.00 0.99 0.99 7386
Accuracy: 0.9879501760086651
90-100%
precision recall f1-score support
0 0.05 0.22 0.08 18
1 1.00 0.99 0.99 5686
accuracy 0.98 5704
macro avg 0.52 0.60 0.54 5704
weighted avg 0.99 0.98 0.99 5704
Accuracy: 0.9847475455820477
0.1
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: 0.7341014680421721
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: 0.7341014680421721
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: 0.8822924712956669
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: 0.8822924712956669
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: 0.7065304909176038
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: 0.6272131126221189
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: 0.7192857772027353
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: 0.8517246138744818
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: 0.7280703032220263
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: 0.9117621923091269
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: 0.7330627863997863
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: 0.9425560292794524
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: 0.954053661840111
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: 0.9561144926807184
0.2
Treshold: 0.5
All
precision recall f1-score support
0 0.84 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: 0.7366477048173742
precision recall f1-score support
0 0.84 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: 0.7366477048173742
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: 0.9834586068448318
1-10%
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: 0.7123905651834634
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: 0.6594332463813105
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: 0.7124592895035077
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: 0.7127320729120254
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: 0.7246990863745559
precision recall f1-score support
0 0.25 0.08 0.13 744974
1 0.85 0.96 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: 0.8198612718350777
40-80%
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: 0.7344011541111858
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: 0.8848274284806618
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: 0.911764426080311
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: 0.9163767733395317
0.4
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: 0.7380526385741609
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: 0.7380526385741609
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: 0.848054175059208
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: 0.8295260800416893
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: 0.7512524446331575
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: 0.5953830119253958
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: 0.6660222107650557
40-80%
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: 0.7680354157981458
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: 0.7347891185175035
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: 0.8174538565148532
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: 0.8275118540303703
Individual Workload Result
zipf_1_15
Ignore Obj Size
0.01
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
| Offline Clock 2nd iteration | 6046758 | 0.403719 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| Zipf Optimal Distribution | 9519768 | 0.404397 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| Offline Clock 1st iteration | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_6[cache_size=0.01,treshold=0.5] | 4811231 | 0.417996 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_4[cache_size=0.01,treshold=0.5] | 4811182 | 0.417996 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_5[cache_size=0.01,treshold=0.5] | 4810293 | 0.418 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_1[cache_size=0.01,treshold=0.5] | 4791719 | 0.418591 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_3[cache_size=0.01,treshold=0.5] | 5677820 | 0.420166 | ../../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_8[cache_size=0.01,treshold=0.5] | 4370271 | 0.420208 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_2[cache_size=0.01,treshold=0.5] | 5657675 | 0.420251 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.5] | 4350655 | 0.420286 | ../../result/log/zipf_1_15 | 0.01 | 1 |
0.1
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
| Offline Clock 2nd iteration | 5855919 | 0.209857 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| Zipf Optimal Distribution | 8927244 | 0.211885 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| Offline Clock 1st iteration | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_4[cache_size=0.1,treshold=0.5] | 4937979 | 0.222406 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_6[cache_size=0.1,treshold=0.5] | 4937595 | 0.222407 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_5[cache_size=0.1,treshold=0.5] | 4936215 | 0.222414 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_1[cache_size=0.1,treshold=0.5] | 5066202 | 0.22272 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.5] | 4191256 | 0.224658 | ../../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_9[cache_size=0.1,treshold=0.5] | 4186743 | 0.224667 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_3[cache_size=0.1,treshold=0.5] | 5628725 | 0.225365 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_2[cache_size=0.1,treshold=0.5] | 5628914 | 0.225365 | ../../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 |
| Offline Clock 1st iteration | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_4[cache_size=0.2,treshold=0.5] | 5043656 | 0.159145 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_6[cache_size=0.2,treshold=0.5] | 5043635 | 0.159146 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_5[cache_size=0.2,treshold=0.5] | 5044732 | 0.159152 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_1[cache_size=0.2,treshold=0.5] | 5110338 | 0.159392 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.5] | 4065657 | 0.160931 | ../../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_9[cache_size=0.2,treshold=0.5] | 4062785 | 0.160937 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_2[cache_size=0.2,treshold=0.5] | 5497626 | 0.162108 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_3[cache_size=0.2,treshold=0.5] | 5497111 | 0.162109 | ../../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 |
| Offline Clock 1st iteration | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_6[cache_size=0.4,treshold=0.5] | 4832139 | 0.0935194 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_5[cache_size=0.4,treshold=0.5] | 4833539 | 0.0935332 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_1[cache_size=0.4,treshold=0.5] | 4835579 | 0.093577 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_4[cache_size=0.4,treshold=0.5] | 4707969 | 0.093772 | ../../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_9[cache_size=0.4,treshold=0.5] | 3740168 | 0.0943415 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.5] | 3740868 | 0.094342 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_3[cache_size=0.4,treshold=0.5] | 5042193 | 0.0956799 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_2[cache_size=0.4,treshold=0.5] | 4368005 | 0.0970026 | ../../result/log/zipf_1_15 | 0.4 | 1 |
zipf_1_16
Ignore Obj Size
0.01
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
| Offline Clock 2nd iteration | 6044928 | 0.403882 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| Zipf Optimal Distribution | 9516893 | 0.40457 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| Offline Clock 1st iteration | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_6[cache_size=0.01,treshold=0.5] | 4809945 | 0.418154 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_4[cache_size=0.01,treshold=0.5] | 4810068 | 0.418154 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_5[cache_size=0.01,treshold=0.5] | 4808886 | 0.418159 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_1[cache_size=0.01,treshold=0.5] | 4788898 | 0.418756 | ../../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_3[cache_size=0.01,treshold=0.5] | 5674629 | 0.420334 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.5] | 4368814 | 0.420365 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_2[cache_size=0.01,treshold=0.5] | 5654642 | 0.420418 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.5] | 4349191 | 0.420441 | ../../result/log/zipf_1_16 | 0.01 | 1 |
0.1
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
| Offline Clock 2nd iteration | 5851636 | 0.210029 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| Zipf Optimal Distribution | 8926367 | 0.212052 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| Offline Clock 1st iteration | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_4[cache_size=0.1,treshold=0.5] | 4939440 | 0.222557 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_6[cache_size=0.1,treshold=0.5] | 4939093 | 0.222558 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_5[cache_size=0.1,treshold=0.5] | 4937768 | 0.222564 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_1[cache_size=0.1,treshold=0.5] | 5064768 | 0.222877 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.5] | 4190226 | 0.224816 | ../../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_9[cache_size=0.1,treshold=0.5] | 4185754 | 0.224825 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_2[cache_size=0.1,treshold=0.5] | 5631981 | 0.225515 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_3[cache_size=0.1,treshold=0.5] | 5631730 | 0.225516 | ../../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 |
| Offline Clock 1st iteration | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_4[cache_size=0.2,treshold=0.5] | 5049745 | 0.159245 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_6[cache_size=0.2,treshold=0.5] | 5049550 | 0.159246 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_5[cache_size=0.2,treshold=0.5] | 5050714 | 0.159251 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_1[cache_size=0.2,treshold=0.5] | 5116713 | 0.15949 | ../../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_8[cache_size=0.2,treshold=0.5] | 4068538 | 0.161034 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.5] | 4065692 | 0.161038 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_2[cache_size=0.2,treshold=0.5] | 5500790 | 0.162234 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_3[cache_size=0.2,treshold=0.5] | 5500292 | 0.162235 | ../../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 |
| Offline Clock 1st iteration | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_6[cache_size=0.4,treshold=0.5] | 4837475 | 0.0935377 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_5[cache_size=0.4,treshold=0.5] | 4838764 | 0.0935512 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_1[cache_size=0.4,treshold=0.5] | 4840982 | 0.0935942 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_4[cache_size=0.4,treshold=0.5] | 4714824 | 0.0937862 | ../../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_9[cache_size=0.4,treshold=0.5] | 3743079 | 0.0943696 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.5] | 3743751 | 0.0943697 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_3[cache_size=0.4,treshold=0.5] | 5047717 | 0.095701 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_2[cache_size=0.4,treshold=0.5] | 4373379 | 0.0970193 | ../../result/log/zipf_1_16 | 0.4 | 1 |
zipf_1_17
Ignore Obj Size
0.01
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
| Offline Clock 2nd iteration | 6046350 | 0.403777 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| Zipf Optimal Distribution | 9518366 | 0.404457 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| Offline Clock 1st iteration | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_6[cache_size=0.01,treshold=0.5] | 4812127 | 0.418042 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_4[cache_size=0.01,treshold=0.5] | 4811920 | 0.418042 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_5[cache_size=0.01,treshold=0.5] | 4811200 | 0.418045 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_1[cache_size=0.01,treshold=0.5] | 4791944 | 0.418643 | ../../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_3[cache_size=0.01,treshold=0.5] | 5676931 | 0.420227 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.5] | 4370959 | 0.420257 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_2[cache_size=0.01,treshold=0.5] | 5656274 | 0.420316 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.5] | 4351594 | 0.420333 | ../../result/log/zipf_1_17 | 0.01 | 1 |
0.1
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
| Offline Clock 2nd iteration | 5851791 | 0.209897 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| Zipf Optimal Distribution | 8925674 | 0.211925 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| Offline Clock 1st iteration | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_4[cache_size=0.1,treshold=0.5] | 4936889 | 0.222435 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_6[cache_size=0.1,treshold=0.5] | 4936455 | 0.222436 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_5[cache_size=0.1,treshold=0.5] | 4935178 | 0.222442 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_1[cache_size=0.1,treshold=0.5] | 5064076 | 0.222753 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.5] | 4189369 | 0.224683 | ../../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_9[cache_size=0.1,treshold=0.5] | 4184896 | 0.224693 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_2[cache_size=0.1,treshold=0.5] | 5627300 | 0.225401 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_3[cache_size=0.1,treshold=0.5] | 5626948 | 0.225403 | ../../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 |
| Offline Clock 1st iteration | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_6[cache_size=0.2,treshold=0.5] | 5043568 | 0.15918 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_4[cache_size=0.2,treshold=0.5] | 5043445 | 0.15918 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_5[cache_size=0.2,treshold=0.5] | 5044629 | 0.159186 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_1[cache_size=0.2,treshold=0.5] | 5110894 | 0.159424 | ../../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_8[cache_size=0.2,treshold=0.5] | 4064674 | 0.16096 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_9[cache_size=0.2,treshold=0.5] | 4061748 | 0.160965 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_2[cache_size=0.2,treshold=0.5] | 5494086 | 0.162168 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_3[cache_size=0.2,treshold=0.5] | 5493563 | 0.16217 | ../../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 |
| Offline Clock 1st iteration | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_6[cache_size=0.4,treshold=0.5] | 4834278 | 0.0934988 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_5[cache_size=0.4,treshold=0.5] | 4835836 | 0.0935126 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_1[cache_size=0.4,treshold=0.5] | 4837777 | 0.0935559 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_4[cache_size=0.4,treshold=0.5] | 4710629 | 0.0937527 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.5] | 3740101 | 0.0943324 | ../../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_8[cache_size=0.4,treshold=0.5] | 3740741 | 0.0943328 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_3[cache_size=0.4,treshold=0.5] | 5042490 | 0.0956787 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_2[cache_size=0.4,treshold=0.5] | 4369801 | 0.0969888 | ../../result/log/zipf_1_17 | 0.4 | 1 |
zipf_1_18
Ignore Obj Size
0.01
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
| Offline Clock 2nd iteration | 6046061 | 0.40372 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| Zipf Optimal Distribution | 9518058 | 0.404413 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| Offline Clock 1st iteration | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_6[cache_size=0.01,treshold=0.5] | 4812024 | 0.417987 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_4[cache_size=0.01,treshold=0.5] | 4812110 | 0.417987 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_5[cache_size=0.01,treshold=0.5] | 4811033 | 0.417992 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_1[cache_size=0.01,treshold=0.5] | 4792015 | 0.418586 | ../../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_3[cache_size=0.01,treshold=0.5] | 5678001 | 0.420172 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.5] | 4371182 | 0.420198 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_2[cache_size=0.01,treshold=0.5] | 5658222 | 0.420254 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.5] | 4351494 | 0.420276 | ../../result/log/zipf_1_18 | 0.01 | 1 |
0.1
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
| Offline Clock 2nd iteration | 5852167 | 0.209865 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| Zipf Optimal Distribution | 8924501 | 0.211883 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| Offline Clock 1st iteration | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_6[cache_size=0.1,treshold=0.5] | 4942139 | 0.222376 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_4[cache_size=0.1,treshold=0.5] | 4942427 | 0.222376 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_5[cache_size=0.1,treshold=0.5] | 4940892 | 0.222382 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_1[cache_size=0.1,treshold=0.5] | 5068447 | 0.222694 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.5] | 4191256 | 0.224647 | ../../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_9[cache_size=0.1,treshold=0.5] | 4186886 | 0.224658 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_3[cache_size=0.1,treshold=0.5] | 5627269 | 0.225357 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_2[cache_size=0.1,treshold=0.5] | 5627475 | 0.225357 | ../../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 |
| Offline Clock 1st iteration | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_6[cache_size=0.2,treshold=0.5] | 5042446 | 0.159108 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_4[cache_size=0.2,treshold=0.5] | 5042467 | 0.159109 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_5[cache_size=0.2,treshold=0.5] | 5043426 | 0.159114 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_1[cache_size=0.2,treshold=0.5] | 5109890 | 0.159353 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.5] | 4064793 | 0.160884 | ../../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_9[cache_size=0.2,treshold=0.5] | 4061832 | 0.160891 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_2[cache_size=0.2,treshold=0.5] | 5494953 | 0.1621 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_3[cache_size=0.2,treshold=0.5] | 5494460 | 0.162101 | ../../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 |
| Offline Clock 1st iteration | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_6[cache_size=0.4,treshold=0.5] | 4830011 | 0.0934535 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_5[cache_size=0.4,treshold=0.5] | 4831600 | 0.093467 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_1[cache_size=0.4,treshold=0.5] | 4834107 | 0.0935084 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_4[cache_size=0.4,treshold=0.5] | 4706894 | 0.0937145 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_8[cache_size=0.4,treshold=0.5] | 3738067 | 0.0942871 | ../../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_9[cache_size=0.4,treshold=0.5] | 3737406 | 0.0942873 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_3[cache_size=0.4,treshold=0.5] | 5039207 | 0.0956179 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_2[cache_size=0.4,treshold=0.5] | 4366182 | 0.0969259 | ../../result/log/zipf_1_18 | 0.4 | 1 |
zipf_1_19
Ignore Obj Size
0.01
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
| Offline Clock 2nd iteration | 6047379 | 0.403776 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| Zipf Optimal Distribution | 9518278 | 0.404475 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| Offline Clock 1st iteration | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_6[cache_size=0.01,treshold=0.5] | 4813062 | 0.418032 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_4[cache_size=0.01,treshold=0.5] | 4812950 | 0.418032 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_5[cache_size=0.01,treshold=0.5] | 4812116 | 0.418036 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_1[cache_size=0.01,treshold=0.5] | 4792180 | 0.418633 | ../../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_3[cache_size=0.01,treshold=0.5] | 5680878 | 0.420217 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_8[cache_size=0.01,treshold=0.5] | 4372916 | 0.420231 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_2[cache_size=0.01,treshold=0.5] | 5660771 | 0.420299 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_9[cache_size=0.01,treshold=0.5] | 4352719 | 0.420313 | ../../result/log/zipf_1_19 | 0.01 | 1 |
0.1
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
| Offline Clock 2nd iteration | 5852464 | 0.209927 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| Zipf Optimal Distribution | 8923837 | 0.21197 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| Offline Clock 1st iteration | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_4[cache_size=0.1,treshold=0.5] | 4941149 | 0.222449 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_6[cache_size=0.1,treshold=0.5] | 4940800 | 0.22245 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_5[cache_size=0.1,treshold=0.5] | 4939351 | 0.222458 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_1[cache_size=0.1,treshold=0.5] | 5067442 | 0.222765 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_8[cache_size=0.1,treshold=0.5] | 4189747 | 0.224721 | ../../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_9[cache_size=0.1,treshold=0.5] | 4185335 | 0.224731 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_2[cache_size=0.1,treshold=0.5] | 5629164 | 0.225428 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_3[cache_size=0.1,treshold=0.5] | 5628912 | 0.225429 | ../../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 |
| Offline Clock 1st iteration | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_6[cache_size=0.2,treshold=0.5] | 5041147 | 0.159207 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_4[cache_size=0.2,treshold=0.5] | 5040880 | 0.159209 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_5[cache_size=0.2,treshold=0.5] | 5042184 | 0.159214 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_1[cache_size=0.2,treshold=0.5] | 5108923 | 0.159451 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_8[cache_size=0.2,treshold=0.5] | 4063624 | 0.16099 | ../../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_9[cache_size=0.2,treshold=0.5] | 4060749 | 0.160996 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_2[cache_size=0.2,treshold=0.5] | 5497445 | 0.162166 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_3[cache_size=0.2,treshold=0.5] | 5497016 | 0.162167 | ../../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 |
| Offline Clock 1st iteration | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_6[cache_size=0.4,treshold=0.5] | 4832850 | 0.093529 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_5[cache_size=0.4,treshold=0.5] | 4834241 | 0.0935421 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_1[cache_size=0.4,treshold=0.5] | 4836057 | 0.0935872 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_4[cache_size=0.4,treshold=0.5] | 4711618 | 0.0937833 | ../../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_8[cache_size=0.4,treshold=0.5] | 3742627 | 0.0943506 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_9[cache_size=0.4,treshold=0.5] | 3741938 | 0.094351 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_3[cache_size=0.4,treshold=0.5] | 5043935 | 0.0956911 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_2[cache_size=0.4,treshold=0.5] | 4368755 | 0.0970087 | ../../result/log/zipf_1_19 | 0.4 | 1 |