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

Promotion Reduced (%)

Model Max Min Avg Mdn
LR_1[cache_size=0.01,treshold=0.5]54.118954.0982 54.106454.1065
LR_2[cache_size=0.01,treshold=0.5]45.824545.7926 45.809945.8127
LR_3[cache_size=0.01,treshold=0.5]45.633 45.6 45.617145.6197
LR_4[cache_size=0.01,treshold=0.5]53.920153.9058 53.912 53.9113
LR_5[cache_size=0.01,treshold=0.5]53.928653.9138 53.921153.9193
LR_6[cache_size=0.01,treshold=0.5]53.919653.9049 53.911753.9102
LR_7[cache_size=0.01,treshold=0.5]58.083558.065 58.071358.0668
LR_8[cache_size=0.01,treshold=0.5]58.143658.1251 58.134458.1308
LR_9[cache_size=0.01,treshold=0.5]58.331758.3163 58.323158.3185
LR_1[cache_size=0.1,treshold=0.5] 50.705950.6403 50.679450.6869
LR_2[cache_size=0.1,treshold=0.5] 45.220545.1853 45.200745.1962
LR_3[cache_size=0.1,treshold=0.5] 45.223945.1878 45.203145.1982
LR_4[cache_size=0.1,treshold=0.5] 51.941351.8676 51.912 51.9257
LR_5[cache_size=0.1,treshold=0.5] 51.958 51.8825 51.928551.9419
LR_6[cache_size=0.1,treshold=0.5] 51.945651.8704 51.915551.9291
LR_7[cache_size=0.1,treshold=0.5] 59.236259.1994 59.223359.2247
LR_8[cache_size=0.1,treshold=0.5] 59.218159.1829 59.205759.2066
LR_9[cache_size=0.1,treshold=0.5] 59.261759.2255 59.249 59.2495
LR_1[cache_size=0.2,treshold=0.5] 48.928548.8866 48.905348.9058
LR_2[cache_size=0.2,treshold=0.5] 45.075 45.026 45.050445.0499
LR_3[cache_size=0.2,treshold=0.5] 45.080245.0312 45.055345.0549
LR_4[cache_size=0.2,treshold=0.5] 49.608749.5556 49.578149.5801
LR_5[cache_size=0.2,treshold=0.5] 49.595749.5459 49.567249.5682
LR_6[cache_size=0.2,treshold=0.5] 49.606 49.5576 49.577849.5788
LR_7[cache_size=0.2,treshold=0.5] 59.385859.3529 59.368259.3645
LR_8[cache_size=0.2,treshold=0.5] 59.377959.3451 59.360459.3574
LR_9[cache_size=0.2,treshold=0.5] 59.406659.3738 59.389359.3861
LR_1[cache_size=0.4,treshold=0.5] 47.679 47.6248 47.651347.6471
LR_2[cache_size=0.4,treshold=0.5] 52.743552.6838 52.712952.7113
LR_3[cache_size=0.4,treshold=0.5] 45.459145.3881 45.419645.421
LR_4[cache_size=0.4,treshold=0.5] 49.055948.9897 49.020549.0172
LR_5[cache_size=0.4,treshold=0.5] 47.706147.6488 47.674147.6681
LR_6[cache_size=0.4,treshold=0.5] 47.723347.6627 47.689747.6849
LR_7[cache_size=0.4,treshold=0.5] 59.545859.4938 59.514 59.5067
LR_8[cache_size=0.4,treshold=0.5] 59.541859.49 59.509759.5021
LR_9[cache_size=0.4,treshold=0.5] 59.548959.4975 59.517 59.5096
Offline Clock 1st iteration 0 0 0 0
Offline Clock 2nd iteration 43.467341.4753 42.656743.0175
Zipf Optimal Distribution 17.0869 6.5902712.128213.1121

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 (%)

Promotion Reduced (%)

Mean Promotion vs Miss Ratio

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

Median Promotion vs Miss Ratio

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 RatioTrace 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 RatioTrace 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 RatioTrace 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 RatioTrace 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 RatioTrace 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 RatioTrace 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 RatioTrace 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 RatioTrace 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 RatioTrace 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 RatioTrace 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 RatioTrace 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 RatioTrace 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 RatioTrace 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 RatioTrace 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 RatioTrace 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 RatioTrace 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 RatioTrace 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 RatioTrace 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 RatioTrace 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 RatioTrace 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