Zipf1 Selected Non-Decay vs Decay Model with Treshold 0.5 Test Data Result Obj Size Ignored
Result
Model Summaries
| Model | Better than base % of the times |
|---|
| LR_7[cache_size=0.01,treshold=0.5] | 0 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.5] | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.5] | 0 |
| LR_7[cache_size=0.1,treshold=0.5] | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.5] | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.5] | 0 |
| LR_7[cache_size=0.2,treshold=0.5] | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.5] | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.5] | 0 |
| LR_7[cache_size=0.4,treshold=0.5] | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.5] | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.5] | 0 |
| Offline Clock 1st iteration | 0 |
| Offline Clock 2nd iteration | 100 |
| Zipf Optimal Distribution | 100 |
| Model | Max | Min | Avg | Mdn |
|---|
| LR_7[cache_size=0.01,treshold=0.5] | 58.0835 | 58.065 | 58.0713 | 58.0668 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | 56.4884 | 56.4581 | 56.4771 | 56.4821 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | 63.6617 | 63.62 | 63.6488 | 63.656 |
| LR_decay_rtime[cache_size=0.01,treshold=0.5] | 63.9045 | 63.8833 | 63.8961 | 63.8992 |
| LR_decay_vtime[cache_size=0.01,treshold=0.5] | 78.9356 | 78.8953 | 78.9192 | 78.9232 |
| LR_7[cache_size=0.1,treshold=0.5] | 59.2362 | 59.1994 | 59.2233 | 59.2247 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 63.9465 | 63.9038 | 63.9266 | 63.9337 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 59.9918 | 59.9463 | 59.9715 | 59.9793 |
| LR_decay_rtime[cache_size=0.1,treshold=0.5] | 62.2431 | 62.1872 | 62.2175 | 62.2269 |
| LR_decay_vtime[cache_size=0.1,treshold=0.5] | 95.9061 | 95.8976 | 95.9029 | 95.9036 |
| LR_7[cache_size=0.2,treshold=0.5] | 59.3858 | 59.3529 | 59.3682 | 59.3645 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | 66.8995 | 66.8546 | 66.875 | 66.8721 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 59.8093 | 59.7863 | 59.7971 | 59.7959 |
| LR_decay_rtime[cache_size=0.2,treshold=0.5] | 65.5598 | 65.5148 | 65.5391 | 65.5437 |
| LR_decay_vtime[cache_size=0.2,treshold=0.5] | 97.8342 | 97.8299 | 97.8322 | 97.8322 |
| LR_7[cache_size=0.4,treshold=0.5] | 59.5458 | 59.4938 | 59.514 | 59.5067 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 59.6696 | 59.6298 | 59.6494 | 59.6452 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | 59.3149 | 59.2213 | 59.2666 | 59.2741 |
| LR_decay_rtime[cache_size=0.4,treshold=0.5] | 77.4655 | 77.4274 | 77.4485 | 77.4519 |
| LR_decay_vtime[cache_size=0.4,treshold=0.5] | 99.0597 | 99.0545 | 99.0562 | 99.0554 |
| Offline Clock 1st iteration | 0 | 0 | 0 | 0 |
| Offline Clock 2nd iteration | 43.4673 | 41.4753 | 42.6567 | 43.0175 |
| Zipf Optimal Distribution | 17.0869 | 6.59027 | 12.1282 | 13.1121 |
Miss Ratio Reduced (%)
| Model | Max | Min | Avg | Mdn |
|---|
| LR_7[cache_size=0.01,treshold=0.5] | -3.68557 | -3.70064 | -3.69388 | -3.69557 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | -3.0176 | -3.03426 | -3.02322 | -3.02186 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | -5.59918 | -5.61415 | -5.60567 | -5.60483 |
| LR_decay_rtime[cache_size=0.01,treshold=0.5] | -5.40769 | -5.41917 | -5.41131 | -5.40919 |
| LR_decay_vtime[cache_size=0.01,treshold=0.5] | -7.4812 | -7.49581 | -7.48631 | -7.48519 |
| LR_7[cache_size=0.1,treshold=0.5] | -5.06395 | -5.07163 | -5.06717 | -5.06612 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | -5.76907 | -5.79047 | -5.77488 | -5.77175 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | -7.69874 | -7.71361 | -7.70577 | -7.70458 |
| LR_decay_rtime[cache_size=0.1,treshold=0.5] | -6.84073 | -6.85867 | -6.84646 | -6.84264 |
| LR_decay_vtime[cache_size=0.1,treshold=0.5] | -16.0676 | -16.0885 | -16.0751 | -16.0733 |
| LR_7[cache_size=0.2,treshold=0.5] | -5.35066 | -5.36681 | -5.35865 | -5.35646 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | -9.46559 | -9.4814 | -9.47742 | -9.48085 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | -8.80982 | -8.81762 | -8.81409 | -8.81335 |
| LR_decay_rtime[cache_size=0.2,treshold=0.5] | -9.36021 | -9.3813 | -9.37374 | -9.37553 |
| LR_decay_vtime[cache_size=0.2,treshold=0.5] | -20.1903 | -20.2075 | -20.1983 | -20.197 |
| LR_7[cache_size=0.4,treshold=0.5] | -5.12316 | -5.18121 | -5.15563 | -5.15518 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | -9.74211 | -9.80403 | -9.7766 | -9.78019 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | -9.64996 | -9.71384 | -9.68346 | -9.68488 |
| LR_decay_rtime[cache_size=0.4,treshold=0.5] | -14.8664 | -14.9185 | -14.8992 | -14.9085 |
| LR_decay_vtime[cache_size=0.4,treshold=0.5] | -25.9725 | -26.0439 | -26.0089 | -26.0035 |
| Offline Clock 1st iteration | 0 | 0 | 0 | 0 |
| Offline Clock 2nd iteration | 7.80369 | 0.100977 | 2.73498 | 1.84941 |
| Zipf Optimal Distribution | 3.35401 | 0.0684004 | 1.23463 | 0.902408 |
Model Summaries Plot
Miss Ratio Reduced (%)
Cache Size All
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 42.6567 | 2.73498 |
| Zipf Optimal Distribution | 12.1282 | 1.23463 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | 56.4771 | -3.02322 |
| LR_7[cache_size=0.01,treshold=0.5] | 58.0713 | -3.69388 |
| LR_7[cache_size=0.1,treshold=0.5] | 59.2233 | -5.06717 |
| LR_7[cache_size=0.4,treshold=0.5] | 59.514 | -5.15563 |
| LR_7[cache_size=0.2,treshold=0.5] | 59.3682 | -5.35865 |
| LR_decay_rtime[cache_size=0.01,treshold=0.5] | 63.8961 | -5.41131 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | 63.6488 | -5.60567 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 63.9266 | -5.77488 |
| LR_decay_rtime[cache_size=0.1,treshold=0.5] | 62.2175 | -6.84646 |
| LR_decay_vtime[cache_size=0.01,treshold=0.5] | 78.9192 | -7.48631 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 59.9715 | -7.70577 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 59.7971 | -8.81409 |
| LR_decay_rtime[cache_size=0.2,treshold=0.5] | 65.5391 | -9.37374 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | 66.875 | -9.47742 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | 59.2666 | -9.68346 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 59.6494 | -9.7766 |
| LR_decay_rtime[cache_size=0.4,treshold=0.5] | 77.4485 | -14.8992 |
| LR_decay_vtime[cache_size=0.1,treshold=0.5] | 95.9029 | -16.0751 |
| LR_decay_vtime[cache_size=0.2,treshold=0.5] | 97.8322 | -20.1983 |
| LR_decay_vtime[cache_size=0.4,treshold=0.5] | 99.0562 | -26.0089 |
Cache Size 0.01
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 42.0861 | 0.362449 |
| Zipf Optimal Distribution | 8.83002 | 0.192773 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | 56.4771 | -3.02322 |
| LR_7[cache_size=0.01,treshold=0.5] | 58.0713 | -3.69388 |
| LR_decay_rtime[cache_size=0.01,treshold=0.5] | 63.8961 | -5.41131 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | 63.6488 | -5.60567 |
| LR_decay_vtime[cache_size=0.01,treshold=0.5] | 78.9192 | -7.48631 |
Cache Size 0.1
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.0216 | 1.84971 |
| Zipf Optimal Distribution | 13.1079 | 0.901478 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_7[cache_size=0.1,treshold=0.5] | 59.2233 | -5.06717 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 63.9266 | -5.77488 |
| LR_decay_rtime[cache_size=0.1,treshold=0.5] | 62.2175 | -6.84646 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 59.9715 | -7.70577 |
| LR_decay_vtime[cache_size=0.1,treshold=0.5] | 95.9029 | -16.0751 |
Cache Size 0.2
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.2203 | 3.56227 |
| Zipf Optimal Distribution | 15.0252 | 1.67385 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_7[cache_size=0.2,treshold=0.5] | 59.3682 | -5.35865 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 59.7971 | -8.81409 |
| LR_decay_rtime[cache_size=0.2,treshold=0.5] | 65.5391 | -9.37374 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | 66.875 | -9.47742 |
| LR_decay_vtime[cache_size=0.2,treshold=0.5] | 97.8322 | -20.1983 |
Cache Size 0.4
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.458 | 7.79849 |
| Zipf Optimal Distribution | 17.0787 | 3.33504 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_7[cache_size=0.4,treshold=0.5] | 59.514 | -5.15563 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | 59.2666 | -9.68346 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 59.6494 | -9.7766 |
| LR_decay_rtime[cache_size=0.4,treshold=0.5] | 77.4485 | -14.8992 |
| LR_decay_vtime[cache_size=0.4,treshold=0.5] | 99.0562 | -26.0089 |
Cache Size All
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.0175 | 1.84941 |
| Zipf Optimal Distribution | 13.1121 | 0.902408 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | 56.4821 | -3.02186 |
| LR_7[cache_size=0.01,treshold=0.5] | 58.0668 | -3.69557 |
| LR_7[cache_size=0.1,treshold=0.5] | 59.2247 | -5.06612 |
| LR_7[cache_size=0.4,treshold=0.5] | 59.5067 | -5.15518 |
| LR_7[cache_size=0.2,treshold=0.5] | 59.3645 | -5.35646 |
| LR_decay_rtime[cache_size=0.01,treshold=0.5] | 63.8992 | -5.40919 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | 63.656 | -5.60483 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 63.9337 | -5.77175 |
| LR_decay_rtime[cache_size=0.1,treshold=0.5] | 62.2269 | -6.84264 |
| LR_decay_vtime[cache_size=0.01,treshold=0.5] | 78.9232 | -7.48519 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 59.9793 | -7.70458 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 59.7959 | -8.81335 |
| LR_decay_rtime[cache_size=0.2,treshold=0.5] | 65.5437 | -9.37553 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | 66.8721 | -9.48085 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | 59.2741 | -9.68488 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 59.6452 | -9.78019 |
| LR_decay_rtime[cache_size=0.4,treshold=0.5] | 77.4519 | -14.9085 |
| LR_decay_vtime[cache_size=0.1,treshold=0.5] | 95.9036 | -16.0733 |
| LR_decay_vtime[cache_size=0.2,treshold=0.5] | 97.8322 | -20.197 |
| LR_decay_vtime[cache_size=0.4,treshold=0.5] | 99.0554 | -26.0035 |
Cache Size 0.01
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 42.0861 | 0.361512 |
| Zipf Optimal Distribution | 8.82408 | 0.192718 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | 56.4821 | -3.02186 |
| LR_7[cache_size=0.01,treshold=0.5] | 58.0668 | -3.69557 |
| LR_decay_rtime[cache_size=0.01,treshold=0.5] | 63.8992 | -5.40919 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | 63.656 | -5.60483 |
| LR_decay_vtime[cache_size=0.01,treshold=0.5] | 78.9232 | -7.48519 |
Cache Size 0.1
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.0175 | 1.84941 |
| Zipf Optimal Distribution | 13.1121 | 0.902408 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_7[cache_size=0.1,treshold=0.5] | 59.2247 | -5.06612 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 63.9337 | -5.77175 |
| LR_decay_rtime[cache_size=0.1,treshold=0.5] | 62.2269 | -6.84264 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 59.9793 | -7.70458 |
| LR_decay_vtime[cache_size=0.1,treshold=0.5] | 95.9036 | -16.0733 |
Cache Size 0.2
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.2233 | 3.56334 |
| Zipf Optimal Distribution | 15.0351 | 1.67163 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_7[cache_size=0.2,treshold=0.5] | 59.3645 | -5.35646 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 59.7959 | -8.81335 |
| LR_decay_rtime[cache_size=0.2,treshold=0.5] | 65.5437 | -9.37553 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | 66.8721 | -9.48085 |
| LR_decay_vtime[cache_size=0.2,treshold=0.5] | 97.8322 | -20.197 |
Cache Size 0.4
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.46 | 7.8007 |
| Zipf Optimal Distribution | 17.0793 | 3.33616 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_7[cache_size=0.4,treshold=0.5] | 59.5067 | -5.15518 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | 59.2741 | -9.68488 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 59.6452 | -9.78019 |
| LR_decay_rtime[cache_size=0.4,treshold=0.5] | 77.4519 | -14.9085 |
| LR_decay_vtime[cache_size=0.4,treshold=0.5] | 99.0554 | -26.0035 |
Model Classification Report
LR_7
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_7_decay_rtime
0.01
Treshold: 0.5
All
precision recall f1-score support
0 0.87 0.69 0.77 28055468
1 0.68 0.87 0.76 21729815
accuracy 0.77 49785283
macro avg 0.78 0.78 0.77 49785283
weighted avg 0.79 0.77 0.77 49785283
Accuracy: 0.7663399844488179
precision recall f1-score support
0 0.87 0.69 0.77 28055468
1 0.68 0.87 0.76 21729815
accuracy 0.77 49785283
macro avg 0.78 0.78 0.77 49785283
weighted avg 0.79 0.77 0.77 49785283
Accuracy: 0.7663399643625607
0-1%
precision recall f1-score support
0 0.87 0.69 0.77 27764588
1 0.63 0.83 0.72 17098553
accuracy 0.75 44863141
macro avg 0.75 0.76 0.74 44863141
weighted avg 0.78 0.75 0.75 44863141
Accuracy: 0.7471877637814079
precision recall f1-score support
0 0.87 0.69 0.77 27764588
1 0.63 0.83 0.72 17098553
accuracy 0.75 44863141
macro avg 0.75 0.76 0.74 44863141
weighted avg 0.78 0.75 0.75 44863141
Accuracy: 0.7471877860714211
1-10%
precision recall f1-score support
0 0.00 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.47 0.50 0.48 4452351
weighted avg 0.87 0.94 0.90 4452351
Accuracy: 0.9354129986607076
precision recall f1-score support
0 0.87 0.69 0.77 28052152
1 0.68 0.87 0.76 21263340
accuracy 0.76 49315492
macro avg 0.77 0.78 0.76 49315492
weighted avg 0.79 0.76 0.76 49315492
Accuracy: 0.7641813246028246
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
precision recall f1-score support
0 0.87 0.69 0.77 28054607
1 0.68 0.87 0.76 21520956
accuracy 0.77 49575563
macro avg 0.78 0.78 0.77 49575563
weighted avg 0.79 0.77 0.77 49575563
Accuracy: 0.765368897575606
20-40%
precision recall f1-score support
0 0.87 0.69 0.77 28055266
1 0.68 0.87 0.76 21651524
accuracy 0.77 49706790
macro avg 0.78 0.78 0.77 49706790
weighted avg 0.79 0.77 0.77 49706790
Accuracy: 0.7659750710114251
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
precision recall f1-score support
0 0.87 0.69 0.77 28055435
1 0.68 0.87 0.76 21716758
accuracy 0.77 49772193
macro avg 0.78 0.78 0.77 49772193
weighted avg 0.79 0.77 0.77 49772193
Accuracy: 0.7662791952928415
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
0.1
Treshold: 0.5
All
precision recall f1-score support
0 0.85 0.64 0.73 26119367
1 0.66 0.87 0.75 21615229
accuracy 0.74 47734596
macro avg 0.76 0.75 0.74 47734596
weighted avg 0.77 0.74 0.74 47734596
Accuracy: 0.7410423668401844
precision recall f1-score support
0 0.85 0.64 0.73 26119367
1 0.66 0.87 0.75 21615229
accuracy 0.74 47734596
macro avg 0.76 0.75 0.74 47734596
weighted avg 0.77 0.74 0.74 47734596
Accuracy: 0.7410423668401844
0-1%
precision recall f1-score support
0 0.97 0.95 0.96 12053010
1 0.19 0.26 0.22 508421
accuracy 0.93 12561431
macro avg 0.58 0.61 0.59 12561431
weighted avg 0.94 0.93 0.93 12561431
Accuracy: 0.9262818065871635
precision recall f1-score support
0 0.97 0.95 0.96 12053010
1 0.19 0.26 0.22 508421
accuracy 0.93 12561431
macro avg 0.58 0.61 0.59 12561431
weighted avg 0.94 0.93 0.93 12561431
Accuracy: 0.9262818065871635
1-10%
precision recall f1-score support
0 0.86 0.65 0.74 25421477
1 0.58 0.82 0.68 14975241
accuracy 0.71 40396718
macro avg 0.72 0.73 0.71 40396718
weighted avg 0.76 0.71 0.72 40396718
Accuracy: 0.7132848019980237
precision recall f1-score support
0 0.68 0.38 0.49 13368467
1 0.59 0.84 0.69 14466820
accuracy 0.62 27835287
macro avg 0.64 0.61 0.59 27835287
weighted avg 0.64 0.62 0.60 27835287
Accuracy: 0.6171641054033321
10-20%
precision recall f1-score support
0 0.85 0.64 0.73 25924842
1 0.63 0.85 0.72 18362515
accuracy 0.73 44287357
macro avg 0.74 0.74 0.73 44287357
weighted avg 0.76 0.73 0.73 44287357
Accuracy: 0.7257807007991016
precision recall f1-score support
0 0.17 0.03 0.05 503365
1 0.87 0.98 0.92 3387274
accuracy 0.86 3890639
macro avg 0.52 0.50 0.49 3890639
weighted avg 0.78 0.86 0.81 3890639
Accuracy: 0.855526303005753
20-40%
precision recall f1-score support
0 0.09 0.01 0.02 147488
1 0.93 0.99 0.96 1970425
accuracy 0.92 2117913
macro avg 0.51 0.50 0.49 2117913
weighted avg 0.87 0.92 0.89 2117913
Accuracy: 0.9222607349782546
40-80%
precision recall f1-score support
0 0.85 0.64 0.73 26113946
1 0.66 0.87 0.75 21397219
accuracy 0.74 47511165
macro avg 0.76 0.75 0.74 47511165
weighted avg 0.77 0.74 0.74 47511165
Accuracy: 0.7399509146955248
precision recall f1-score support
0 0.05 0.01 0.01 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.51 0.50 0.50 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9582763282228421
80-90%
precision recall f1-score support
0 0.03 0.00 0.01 3093
1 0.98 1.00 0.99 120943
accuracy 0.97 124036
macro avg 0.50 0.50 0.50 124036
weighted avg 0.95 0.97 0.96 124036
Accuracy: 0.9721774323583475
90-100%
precision recall f1-score support
0 0.02 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.97 99395
macro avg 0.50 0.50 0.50 99395
weighted avg 0.95 0.97 0.96 99395
Accuracy: 0.974324664218522
0.2
Treshold: 0.5
All
precision recall f1-score support
0 0.81 0.54 0.65 24893266
1 0.60 0.84 0.70 20563095
accuracy 0.68 45456361
macro avg 0.71 0.69 0.68 45456361
weighted avg 0.72 0.68 0.68 45456361
Accuracy: 0.6798656188074536
precision recall f1-score support
0 0.81 0.54 0.65 24893266
1 0.60 0.84 0.70 20563095
accuracy 0.68 45456361
macro avg 0.71 0.69 0.68 45456361
weighted avg 0.72 0.68 0.68 45456361
Accuracy: 0.6798656188074536
0-1%
precision recall f1-score support
0 1.00 0.97 0.98 4873589
1 0.02 0.65 0.03 3872
accuracy 0.97 4877461
macro avg 0.51 0.81 0.51 4877461
weighted avg 1.00 0.97 0.98 4877461
Accuracy: 0.9682488491450777
precision recall f1-score support
0 1.00 0.97 0.98 4873589
1 0.02 0.65 0.03 3872
accuracy 0.97 4877461
macro avg 0.51 0.81 0.51 4877461
weighted avg 1.00 0.97 0.98 4877461
Accuracy: 0.9682488491450777
1-10%
precision recall f1-score support
0 0.90 0.59 0.71 21822692
1 0.42 0.82 0.56 8020644
accuracy 0.65 29843336
macro avg 0.66 0.70 0.63 29843336
weighted avg 0.77 0.65 0.67 29843336
Accuracy: 0.6505325342984444
precision recall f1-score support
0 0.85 0.48 0.61 16949103
1 0.43 0.82 0.56 8016772
accuracy 0.59 24965875
macro avg 0.64 0.65 0.59 24965875
weighted avg 0.71 0.59 0.60 24965875
Accuracy: 0.5884618504258312
10-20%
precision recall f1-score support
0 0.86 0.56 0.68 23880186
1 0.52 0.84 0.64 13481800
accuracy 0.66 37361986
macro avg 0.69 0.70 0.66 37361986
weighted avg 0.73 0.66 0.66 37361986
Accuracy: 0.6582472891028865
precision recall f1-score support
0 0.39 0.25 0.30 2057494
1 0.75 0.86 0.80 5461156
accuracy 0.69 7518650
macro avg 0.57 0.55 0.55 7518650
weighted avg 0.65 0.69 0.66 7518650
Accuracy: 0.688868879386592
20-40%
precision recall f1-score support
0 0.83 0.55 0.66 24625160
1 0.57 0.84 0.68 17542339
accuracy 0.67 42167499
macro avg 0.70 0.69 0.67 42167499
weighted avg 0.72 0.67 0.67 42167499
Accuracy: 0.6699577558536256
precision recall f1-score support
0 0.23 0.22 0.23 744974
1 0.86 0.86 0.86 4060539
accuracy 0.76 4805513
macro avg 0.54 0.54 0.54 4805513
weighted avg 0.76 0.76 0.76 4805513
Accuracy: 0.7610044962941521
40-80%
precision recall f1-score support
0 0.81 0.54 0.65 24861069
1 0.60 0.84 0.70 20026114
accuracy 0.68 44887183
macro avg 0.71 0.69 0.68 44887183
weighted avg 0.72 0.68 0.67 44887183
Accuracy: 0.6780667657402337
precision recall f1-score support
0 0.13 0.22 0.16 235909
1 0.92 0.86 0.89 2483775
accuracy 0.80 2719684
macro avg 0.52 0.54 0.53 2719684
weighted avg 0.85 0.80 0.83 2719684
Accuracy: 0.8037933818781888
80-90%
precision recall f1-score support
0 0.09 0.22 0.12 18577
1 0.95 0.86 0.90 296772
accuracy 0.82 315349
macro avg 0.52 0.54 0.51 315349
weighted avg 0.90 0.82 0.85 315349
Accuracy: 0.8199169808688151
90-100%
precision recall f1-score support
0 0.08 0.22 0.12 13620
1 0.95 0.86 0.90 240209
accuracy 0.82 253829
macro avg 0.52 0.54 0.51 253829
weighted avg 0.90 0.82 0.86 253829
Accuracy: 0.8239838631519645
0.4
Treshold: 0.5
All
precision recall f1-score support
0 0.80 0.63 0.70 22531902
1 0.61 0.79 0.69 16938696
accuracy 0.70 39470598
macro avg 0.70 0.71 0.69 39470598
weighted avg 0.72 0.70 0.70 39470598
Accuracy: 0.6950249144945815
precision recall f1-score support
0 0.80 0.63 0.70 22531902
1 0.61 0.79 0.69 16938696
accuracy 0.70 39470598
macro avg 0.70 0.71 0.69 39470598
weighted avg 0.72 0.70 0.70 39470598
Accuracy: 0.6950248891592674
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9992825801823098
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9992825801823098
1-10%
precision recall f1-score support
0 0.97 0.76 0.85 12989887
1 0.24 0.76 0.36 1271288
accuracy 0.76 14261175
macro avg 0.60 0.76 0.61 14261175
weighted avg 0.90 0.76 0.81 14261175
Accuracy: 0.758223778896199
precision recall f1-score support
0 0.96 0.73 0.83 11439888
1 0.24 0.76 0.36 1271288
accuracy 0.73 12711176
macro avg 0.60 0.74 0.59 12711176
weighted avg 0.89 0.73 0.78 12711176
Accuracy: 0.7288291028304541
10-20%
precision recall f1-score support
0 0.92 0.68 0.78 18034328
1 0.41 0.78 0.53 5083660
accuracy 0.70 23117988
macro avg 0.66 0.73 0.66 23117988
weighted avg 0.80 0.70 0.73 23117988
Accuracy: 0.7012975350623073
precision recall f1-score support
0 0.75 0.48 0.58 5044441
1 0.53 0.78 0.63 3812372
accuracy 0.61 8856813
macro avg 0.64 0.63 0.61 8856813
weighted avg 0.65 0.61 0.60 8856813
Accuracy: 0.6096352039949359
20-40%
precision recall f1-score support
0 0.52 0.42 0.47 2995598
1 0.72 0.79 0.75 5583215
accuracy 0.66 8578813
macro avg 0.62 0.61 0.61 8578813
weighted avg 0.65 0.66 0.65 8578813
Accuracy: 0.6628511426930509
precision recall f1-score support
0 0.86 0.64 0.73 21029926
1 0.53 0.79 0.63 10666875
accuracy 0.69 31696801
macro avg 0.69 0.71 0.68 31696801
weighted avg 0.74 0.69 0.70 31696801
Accuracy: 0.6908919294410815
40-80%
precision recall f1-score support
0 0.33 0.41 0.36 1295061
1 0.84 0.79 0.81 5001564
accuracy 0.71 6296625
macro avg 0.58 0.60 0.59 6296625
weighted avg 0.73 0.71 0.72 6296625
Accuracy: 0.7080108788438251
precision recall f1-score support
0 0.81 0.63 0.71 22324987
1 0.60 0.79 0.68 15668439
accuracy 0.69 37993426
macro avg 0.70 0.71 0.69 37993426
weighted avg 0.72 0.69 0.70 37993426
Accuracy: 0.6937290414399586
80-90%
precision recall f1-score support
0 0.24 0.40 0.30 117971
1 0.88 0.78 0.83 692761
accuracy 0.73 810732
macro avg 0.56 0.59 0.56 810732
weighted avg 0.79 0.73 0.75 810732
Accuracy: 0.726632228652625
90-100%
precision recall f1-score support
0 0.22 0.40 0.28 88944
1 0.89 0.78 0.83 577496
accuracy 0.73 666440
macro avg 0.56 0.59 0.56 666440
weighted avg 0.80 0.73 0.76 666440
Accuracy: 0.7304513534601764
LR_7_decay_vtime
0.01
Treshold: 0.5
All
precision recall f1-score support
0 0.74 0.52 0.61 28055468
1 0.55 0.77 0.64 21729815
accuracy 0.63 49785283
macro avg 0.65 0.64 0.63 49785283
weighted avg 0.66 0.63 0.63 49785283
Accuracy: 0.6284319203327617
precision recall f1-score support
0 0.74 0.52 0.61 28055468
1 0.55 0.77 0.64 21729815
accuracy 0.63 49785283
macro avg 0.65 0.64 0.63 49785283
weighted avg 0.66 0.63 0.63 49785283
Accuracy: 0.6284318801602473
0-1%
precision recall f1-score support
0 0.79 0.52 0.63 27764588
1 0.50 0.77 0.60 17098553
accuracy 0.62 44863141
macro avg 0.64 0.64 0.62 44863141
weighted avg 0.68 0.62 0.62 44863141
Accuracy: 0.615350784288599
precision recall f1-score support
0 0.79 0.52 0.63 27764588
1 0.50 0.77 0.60 17098553
accuracy 0.62 44863141
macro avg 0.64 0.64 0.62 44863141
weighted avg 0.68 0.62 0.62 44863141
Accuracy: 0.6153508288686251
1-10%
precision recall f1-score support
0 0.07 0.24 0.11 287564
1 0.94 0.78 0.85 4164787
accuracy 0.75 4452351
macro avg 0.50 0.51 0.48 4452351
weighted avg 0.88 0.75 0.80 4452351
Accuracy: 0.7450122418470602
precision recall f1-score support
0 0.75 0.52 0.61 28052152
1 0.55 0.77 0.64 21263340
accuracy 0.63 49315492
macro avg 0.65 0.64 0.63 49315492
weighted avg 0.66 0.63 0.62 49315492
Accuracy: 0.6270570513622779
10-20%
precision recall f1-score support
0 0.01 0.23 0.02 2455
1 0.99 0.78 0.87 257616
accuracy 0.77 260071
macro avg 0.50 0.50 0.44 260071
weighted avg 0.98 0.77 0.86 260071
Accuracy: 0.7707356837171387
20-40%
precision recall f1-score support
0 0.75 0.52 0.61 28055266
1 0.55 0.77 0.64 21651524
accuracy 0.63 49706790
macro avg 0.65 0.64 0.63 49706790
weighted avg 0.66 0.63 0.63 49706790
Accuracy: 0.6282000708555109
precision recall f1-score support
0 0.01 0.25 0.01 659
1 1.00 0.78 0.87 130568
accuracy 0.78 131227
macro avg 0.50 0.51 0.44 131227
weighted avg 0.99 0.78 0.87 131227
Accuracy: 0.7752672849337408
40-80%
precision recall f1-score support
0 0.00 0.23 0.01 169
1 1.00 0.78 0.87 65234
accuracy 0.77 65403
macro avg 0.50 0.50 0.44 65403
weighted avg 0.99 0.77 0.87 65403
Accuracy: 0.7748574224423956
precision recall f1-score support
0 0.74 0.52 0.61 28055435
1 0.55 0.77 0.64 21716758
accuracy 0.63 49772193
macro avg 0.65 0.64 0.63 49772193
weighted avg 0.66 0.63 0.63 49772193
Accuracy: 0.6283927855057542
80-90%
precision recall f1-score support
0 0.00 0.27 0.00 15
1 1.00 0.77 0.87 7371
accuracy 0.77 7386
macro avg 0.50 0.52 0.44 7386
weighted avg 1.00 0.77 0.87 7386
Accuracy: 0.7695640400758191
90-100%
precision recall f1-score support
0 0.00 0.22 0.01 18
1 1.00 0.79 0.88 5686
accuracy 0.79 5704
macro avg 0.50 0.51 0.44 5704
weighted avg 0.99 0.79 0.88 5704
Accuracy: 0.7871669004207573
0.1
Treshold: 0.5
All
precision recall f1-score support
0 0.74 0.58 0.65 26119367
1 0.60 0.76 0.67 21615229
accuracy 0.66 47734596
macro avg 0.67 0.67 0.66 47734596
weighted avg 0.68 0.66 0.66 47734596
Accuracy: 0.6593091936925579
precision recall f1-score support
0 0.74 0.58 0.65 26119367
1 0.60 0.76 0.67 21615229
accuracy 0.66 47734596
macro avg 0.67 0.67 0.66 47734596
weighted avg 0.68 0.66 0.66 47734596
Accuracy: 0.6593091936925579
0-1%
precision recall f1-score support
0 0.98 0.78 0.87 12053010
1 0.12 0.70 0.20 508421
accuracy 0.78 12561431
macro avg 0.55 0.74 0.54 12561431
weighted avg 0.95 0.78 0.84 12561431
Accuracy: 0.7790837684018644
precision recall f1-score support
0 0.98 0.78 0.87 12053010
1 0.12 0.70 0.20 508421
accuracy 0.78 12561431
macro avg 0.55 0.74 0.54 12561431
weighted avg 0.95 0.78 0.84 12561431
Accuracy: 0.7790837684018644
1-10%
precision recall f1-score support
0 0.80 0.59 0.68 25421477
1 0.52 0.75 0.61 14975241
accuracy 0.65 40396718
macro avg 0.66 0.67 0.65 40396718
weighted avg 0.70 0.65 0.65 40396718
Accuracy: 0.6488780846008332
precision recall f1-score support
0 0.61 0.41 0.49 13368467
1 0.58 0.76 0.66 14466820
accuracy 0.59 27835287
macro avg 0.59 0.58 0.57 27835287
weighted avg 0.59 0.59 0.58 27835287
Accuracy: 0.5901192252840791
10-20%
precision recall f1-score support
0 0.77 0.58 0.66 25924842
1 0.56 0.76 0.64 18362515
accuracy 0.65 44287357
macro avg 0.67 0.67 0.65 44287357
weighted avg 0.68 0.65 0.66 44287357
Accuracy: 0.6537253058474454
precision recall f1-score support
0 0.16 0.31 0.21 503365
1 0.88 0.76 0.82 3387274
accuracy 0.70 3890639
macro avg 0.52 0.54 0.52 3890639
weighted avg 0.79 0.70 0.74 3890639
Accuracy: 0.7040542697484912
20-40%
precision recall f1-score support
0 0.75 0.58 0.66 26072330
1 0.58 0.76 0.66 20332940
accuracy 0.66 46405270
macro avg 0.67 0.67 0.66 46405270
weighted avg 0.68 0.66 0.66 46405270
Accuracy: 0.6570462578926919
precision recall f1-score support
0 0.09 0.31 0.14 147488
1 0.94 0.76 0.84 1970425
accuracy 0.73 2117913
macro avg 0.51 0.53 0.49 2117913
weighted avg 0.88 0.73 0.79 2117913
Accuracy: 0.7264901816080264
40-80%
precision recall f1-score support
0 0.74 0.58 0.65 26113946
1 0.60 0.76 0.67 21397219
accuracy 0.66 47511165
macro avg 0.67 0.67 0.66 47511165
weighted avg 0.68 0.66 0.66 47511165
Accuracy: 0.6589230131485936
precision recall f1-score support
0 0.05 0.31 0.08 41616
1 0.97 0.75 0.85 1064279
accuracy 0.74 1105895
macro avg 0.51 0.53 0.46 1105895
weighted avg 0.93 0.74 0.82 1105895
Accuracy: 0.7376749148879415
80-90%
precision recall f1-score support
0 0.03 0.33 0.06 3093
1 0.98 0.75 0.85 120943
accuracy 0.74 124036
macro avg 0.50 0.54 0.45 124036
weighted avg 0.95 0.74 0.83 124036
Accuracy: 0.7408494308104099
90-100%
precision recall f1-score support
0 0.03 0.31 0.05 2328
1 0.98 0.75 0.85 97067
accuracy 0.74 99395
macro avg 0.50 0.53 0.45 99395
weighted avg 0.96 0.74 0.83 99395
Accuracy: 0.7421500075456512
0.2
Treshold: 0.5
All
precision recall f1-score support
0 0.76 0.60 0.67 24893266
1 0.61 0.77 0.68 20563095
accuracy 0.68 45456361
macro avg 0.69 0.68 0.68 45456361
weighted avg 0.69 0.68 0.67 45456361
Accuracy: 0.6755462013336263
precision recall f1-score support
0 0.76 0.60 0.67 24893266
1 0.61 0.77 0.68 20563095
accuracy 0.68 45456361
macro avg 0.69 0.68 0.68 45456361
weighted avg 0.69 0.68 0.67 45456361
Accuracy: 0.6755462013336263
0-1%
precision recall f1-score support
0 1.00 0.95 0.97 4873589
1 0.01 0.71 0.02 3872
accuracy 0.95 4877461
macro avg 0.51 0.83 0.50 4877461
weighted avg 1.00 0.95 0.97 4877461
Accuracy: 0.9479210597480944
precision recall f1-score support
0 1.00 0.95 0.97 4873589
1 0.01 0.71 0.02 3872
accuracy 0.95 4877461
macro avg 0.51 0.83 0.50 4877461
weighted avg 1.00 0.95 0.97 4877461
Accuracy: 0.9479210597480944
1-10%
precision recall f1-score support
0 0.88 0.63 0.74 21822692
1 0.43 0.76 0.55 8020644
accuracy 0.67 29843336
macro avg 0.66 0.70 0.64 29843336
weighted avg 0.76 0.67 0.69 29843336
Accuracy: 0.6672417922714806
precision recall f1-score support
0 0.83 0.54 0.65 16949103
1 0.44 0.76 0.56 8016772
accuracy 0.61 24965875
macro avg 0.63 0.65 0.61 24965875
weighted avg 0.70 0.61 0.62 24965875
Accuracy: 0.6124068553575631
10-20%
precision recall f1-score support
0 0.82 0.61 0.70 23880186
1 0.53 0.77 0.62 13481800
accuracy 0.67 37361986
macro avg 0.67 0.69 0.66 37361986
weighted avg 0.72 0.67 0.67 37361986
Accuracy: 0.6666354673972631
precision recall f1-score support
0 0.38 0.37 0.37 2057494
1 0.77 0.78 0.77 5461156
accuracy 0.66 7518650
macro avg 0.57 0.57 0.57 7518650
weighted avg 0.66 0.66 0.66 7518650
Accuracy: 0.6642288176733855
20-40%
precision recall f1-score support
0 0.78 0.60 0.68 24625160
1 0.58 0.77 0.66 17542339
accuracy 0.67 42167499
macro avg 0.68 0.69 0.67 42167499
weighted avg 0.70 0.67 0.67 42167499
Accuracy: 0.6712092410318193
precision recall f1-score support
0 0.22 0.36 0.27 744974
1 0.87 0.77 0.82 4060539
accuracy 0.71 4805513
macro avg 0.54 0.56 0.54 4805513
weighted avg 0.77 0.71 0.73 4805513
Accuracy: 0.7067694957853615
40-80%
precision recall f1-score support
0 0.76 0.60 0.67 24861069
1 0.61 0.77 0.68 20026114
accuracy 0.67 44887183
macro avg 0.68 0.68 0.67 44887183
weighted avg 0.69 0.67 0.67 44887183
Accuracy: 0.6747492708553352
precision recall f1-score support
0 0.13 0.35 0.19 235909
1 0.93 0.77 0.84 2483775
accuracy 0.73 2719684
macro avg 0.53 0.56 0.51 2719684
weighted avg 0.86 0.73 0.78 2719684
Accuracy: 0.7296358694613051
80-90%
precision recall f1-score support
0 0.09 0.36 0.14 18577
1 0.95 0.76 0.84 296772
accuracy 0.74 315349
macro avg 0.52 0.56 0.49 315349
weighted avg 0.90 0.74 0.80 315349
Accuracy: 0.7371737344973347
90-100%
precision recall f1-score support
0 0.08 0.36 0.13 13620
1 0.95 0.76 0.85 240209
accuracy 0.74 253829
macro avg 0.52 0.56 0.49 253829
weighted avg 0.91 0.74 0.81 253829
Accuracy: 0.739911515232696
0.4
Treshold: 0.5
All
precision recall f1-score support
0 0.79 0.63 0.70 22531902
1 0.61 0.78 0.69 16938696
accuracy 0.70 39470598
macro avg 0.70 0.71 0.70 39470598
weighted avg 0.72 0.70 0.70 39470598
Accuracy: 0.6961267219716306
precision recall f1-score support
0 0.79 0.63 0.70 22531902
1 0.61 0.78 0.69 16938696
accuracy 0.70 39470598
macro avg 0.70 0.71 0.70 39470598
weighted avg 0.72 0.70 0.70 39470598
Accuracy: 0.6961267219716306
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9993290318251818
1-10%
precision recall f1-score support
0 0.97 0.76 0.85 12989887
1 0.24 0.76 0.36 1271288
accuracy 0.76 14261175
macro avg 0.60 0.76 0.61 14261175
weighted avg 0.90 0.76 0.81 14261175
Accuracy: 0.7609563728093933
precision recall f1-score support
0 0.96 0.73 0.83 11439888
1 0.24 0.76 0.36 1271288
accuracy 0.73 12711176
macro avg 0.60 0.74 0.60 12711176
weighted avg 0.89 0.73 0.78 12711176
Accuracy: 0.7318892445514089
10-20%
precision recall f1-score support
0 0.92 0.68 0.78 18034328
1 0.41 0.78 0.54 5083660
accuracy 0.70 23117988
macro avg 0.66 0.73 0.66 23117988
weighted avg 0.80 0.70 0.73 23117988
Accuracy: 0.7035804326916338
precision recall f1-score support
0 0.75 0.48 0.59 5044441
1 0.53 0.78 0.63 3812372
accuracy 0.61 8856813
macro avg 0.64 0.63 0.61 8856813
weighted avg 0.65 0.61 0.61 8856813
Accuracy: 0.611194116890579
20-40%
precision recall f1-score support
0 0.52 0.43 0.47 2995598
1 0.72 0.79 0.75 5583215
accuracy 0.66 8578813
macro avg 0.62 0.61 0.61 8578813
weighted avg 0.65 0.66 0.65 8578813
Accuracy: 0.6628296945043562
precision recall f1-score support
0 0.85 0.65 0.74 21029926
1 0.53 0.78 0.63 10666875
accuracy 0.69 31696801
macro avg 0.69 0.71 0.68 31696801
weighted avg 0.74 0.69 0.70 31696801
Accuracy: 0.6925511505088479
40-80%
precision recall f1-score support
0 0.33 0.41 0.37 1295061
1 0.84 0.78 0.81 5001564
accuracy 0.71 6296625
macro avg 0.58 0.60 0.59 6296625
weighted avg 0.73 0.71 0.72 6296625
Accuracy: 0.706921723939412
80-90%
precision recall f1-score support
0 0.24 0.41 0.30 117971
1 0.89 0.78 0.83 692761
accuracy 0.73 810732
macro avg 0.56 0.59 0.56 810732
weighted avg 0.79 0.73 0.75 810732
Accuracy: 0.7251175480923412
90-100%
precision recall f1-score support
0 0.22 0.41 0.29 88944
1 0.89 0.78 0.83 577496
accuracy 0.73 666440
macro avg 0.56 0.59 0.56 666440
weighted avg 0.80 0.73 0.76 666440
Accuracy: 0.7289253346137686
LR_decay_rtime
0.01
Treshold: 0.5
All
precision recall f1-score support
0 0.76 0.49 0.59 28055468
1 0.55 0.80 0.65 21729815
accuracy 0.62 49785283
macro avg 0.65 0.64 0.62 49785283
weighted avg 0.67 0.62 0.62 49785283
Accuracy: 0.6244382903276858
precision recall f1-score support
0 0.76 0.49 0.59 28055468
1 0.55 0.80 0.65 21729815
accuracy 0.62 49785283
macro avg 0.65 0.64 0.62 49785283
weighted avg 0.67 0.62 0.62 49785283
Accuracy: 0.6244382903276858
0-1%
precision recall f1-score support
0 0.78 0.49 0.60 27764588
1 0.48 0.77 0.59 17098553
accuracy 0.60 44863141
macro avg 0.63 0.63 0.60 44863141
weighted avg 0.67 0.60 0.60 44863141
Accuracy: 0.5972438933778622
precision recall f1-score support
0 0.78 0.49 0.60 27764588
1 0.48 0.77 0.59 17098553
accuracy 0.60 44863141
macro avg 0.63 0.63 0.60 44863141
weighted avg 0.67 0.60 0.60 44863141
Accuracy: 0.5972438933778622
1-10%
precision recall f1-score support
0 0.09 0.12 0.10 287564
1 0.94 0.91 0.92 4164787
accuracy 0.86 4452351
macro avg 0.51 0.52 0.51 4452351
weighted avg 0.88 0.86 0.87 4452351
Accuracy: 0.8597300617134633
precision recall f1-score support
0 0.76 0.49 0.59 28052152
1 0.54 0.80 0.65 21263340
accuracy 0.62 49315492
macro avg 0.65 0.64 0.62 49315492
weighted avg 0.67 0.62 0.62 49315492
Accuracy: 0.6209419344330986
10-20%
precision recall f1-score support
0 0.01 0.00 0.00 2455
1 0.99 1.00 0.99 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.98 260071
Accuracy: 0.9882685881932242
precision recall f1-score support
0 0.76 0.49 0.59 28054607
1 0.54 0.80 0.65 21520956
accuracy 0.62 49575563
macro avg 0.65 0.64 0.62 49575563
weighted avg 0.67 0.62 0.62 49575563
Accuracy: 0.6228689122501746
20-40%
precision recall f1-score support
0 0.76 0.49 0.59 28055266
1 0.55 0.80 0.65 21651524
accuracy 0.62 49706790
macro avg 0.65 0.64 0.62 49706790
weighted avg 0.67 0.62 0.62 49706790
Accuracy: 0.623849578699409
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9943304350476655
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9972172530312066
precision recall f1-score support
0 0.76 0.49 0.59 28055435
1 0.55 0.80 0.65 21716758
accuracy 0.62 49772193
macro avg 0.65 0.64 0.62 49772193
weighted avg 0.67 0.62 0.62 49772193
Accuracy: 0.6243402013650473
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9978337395071757
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
0.1
Treshold: 0.5
All
precision recall f1-score support
0 0.80 0.60 0.69 26119367
1 0.63 0.82 0.71 21615229
accuracy 0.70 47734596
macro avg 0.72 0.71 0.70 47734596
weighted avg 0.73 0.70 0.70 47734596
Accuracy: 0.7023233002747106
precision recall f1-score support
0 0.80 0.60 0.69 26119367
1 0.63 0.82 0.71 21615229
accuracy 0.70 47734596
macro avg 0.72 0.71 0.70 47734596
weighted avg 0.73 0.70 0.70 47734596
Accuracy: 0.7023233002747106
0-1%
precision recall f1-score support
0 0.98 0.87 0.92 12053010
1 0.16 0.58 0.25 508421
accuracy 0.86 12561431
macro avg 0.57 0.73 0.59 12561431
weighted avg 0.95 0.86 0.90 12561431
Accuracy: 0.8596725166105676
precision recall f1-score support
0 0.98 0.87 0.92 12053010
1 0.16 0.58 0.25 508421
accuracy 0.86 12561431
macro avg 0.57 0.73 0.59 12561431
weighted avg 0.95 0.86 0.90 12561431
Accuracy: 0.8596725166105676
1-10%
precision recall f1-score support
0 0.84 0.61 0.71 25421477
1 0.55 0.80 0.65 14975241
accuracy 0.68 40396718
macro avg 0.69 0.71 0.68 40396718
weighted avg 0.73 0.68 0.69 40396718
Accuracy: 0.6821889837684338
precision recall f1-score support
0 0.64 0.38 0.48 13368467
1 0.59 0.81 0.68 14466820
accuracy 0.60 27835287
macro avg 0.61 0.59 0.58 27835287
weighted avg 0.61 0.60 0.58 27835287
Accuracy: 0.6020947080588751
10-20%
precision recall f1-score support
0 0.82 0.61 0.70 25924842
1 0.59 0.81 0.69 18362515
accuracy 0.69 44287357
macro avg 0.71 0.71 0.69 44287357
weighted avg 0.73 0.69 0.69 44287357
Accuracy: 0.6911962481752976
precision recall f1-score support
0 0.17 0.18 0.18 503365
1 0.88 0.87 0.88 3387274
accuracy 0.78 3890639
macro avg 0.53 0.53 0.53 3890639
weighted avg 0.79 0.78 0.79 3890639
Accuracy: 0.7847191682394589
20-40%
precision recall f1-score support
0 0.81 0.60 0.69 26072330
1 0.62 0.82 0.70 20332940
accuracy 0.70 46405270
macro avg 0.71 0.71 0.70 46405270
weighted avg 0.73 0.70 0.70 46405270
Accuracy: 0.6977214656869791
precision recall f1-score support
0 0.10 0.17 0.12 147488
1 0.93 0.88 0.91 1970425
accuracy 0.83 2117913
macro avg 0.52 0.53 0.52 2117913
weighted avg 0.88 0.83 0.85 2117913
Accuracy: 0.8341692977945742
40-80%
precision recall f1-score support
0 0.81 0.60 0.69 26113946
1 0.63 0.82 0.71 21397219
accuracy 0.70 47511165
macro avg 0.72 0.71 0.70 47511165
weighted avg 0.73 0.70 0.70 47511165
Accuracy: 0.7015260939191872
precision recall f1-score support
0 0.05 0.17 0.08 41616
1 0.96 0.89 0.92 1064279
accuracy 0.86 1105895
macro avg 0.51 0.53 0.50 1105895
weighted avg 0.93 0.86 0.89 1105895
Accuracy: 0.8611748854999797
80-90%
precision recall f1-score support
0 0.04 0.17 0.06 3093
1 0.98 0.89 0.93 120943
accuracy 0.87 124036
macro avg 0.51 0.53 0.50 124036
weighted avg 0.95 0.87 0.91 124036
Accuracy: 0.8705698345641588
90-100%
precision recall f1-score support
0 0.04 0.17 0.06 2328
1 0.98 0.89 0.93 97067
accuracy 0.87 99395
macro avg 0.51 0.53 0.50 99395
weighted avg 0.96 0.87 0.91 99395
Accuracy: 0.8734342773781377
0.2
Treshold: 0.5
All
precision recall f1-score support
0 0.80 0.56 0.65 24893266
1 0.61 0.83 0.70 20563095
accuracy 0.68 45456361
macro avg 0.70 0.69 0.68 45456361
weighted avg 0.71 0.68 0.68 45456361
Accuracy: 0.6792040612313863
precision recall f1-score support
0 0.80 0.56 0.65 24893266
1 0.61 0.83 0.70 20563095
accuracy 0.68 45456361
macro avg 0.70 0.69 0.68 45456361
weighted avg 0.71 0.68 0.68 45456361
Accuracy: 0.6792040612313863
0-1%
precision recall f1-score support
0 1.00 0.97 0.98 4873589
1 0.01 0.67 0.03 3872
accuracy 0.96 4877461
macro avg 0.51 0.82 0.51 4877461
weighted avg 1.00 0.96 0.98 4877461
Accuracy: 0.9649407755387486
precision recall f1-score support
0 1.00 0.97 0.98 4873589
1 0.01 0.67 0.03 3872
accuracy 0.96 4877461
macro avg 0.51 0.82 0.51 4877461
weighted avg 1.00 0.96 0.98 4877461
Accuracy: 0.9649407755387486
1-10%
precision recall f1-score support
0 0.90 0.60 0.72 21822692
1 0.42 0.81 0.56 8020644
accuracy 0.65 29843336
macro avg 0.66 0.70 0.64 29843336
weighted avg 0.77 0.65 0.67 29843336
Accuracy: 0.6537724200806505
precision recall f1-score support
0 0.85 0.49 0.62 16949103
1 0.43 0.81 0.56 8016772
accuracy 0.59 24965875
macro avg 0.64 0.65 0.59 24965875
weighted avg 0.71 0.59 0.60 24965875
Accuracy: 0.5929809790363847
10-20%
precision recall f1-score support
0 0.85 0.57 0.68 23880186
1 0.52 0.82 0.64 13481800
accuracy 0.66 37361986
macro avg 0.68 0.70 0.66 37361986
weighted avg 0.73 0.66 0.66 37361986
Accuracy: 0.660068230848328
precision recall f1-score support
0 0.39 0.27 0.32 2057494
1 0.75 0.84 0.79 5461156
accuracy 0.69 7518650
macro avg 0.57 0.56 0.56 7518650
weighted avg 0.66 0.69 0.67 7518650
Accuracy: 0.6850578228804373
20-40%
precision recall f1-score support
0 0.82 0.56 0.66 24625160
1 0.57 0.83 0.68 17542339
accuracy 0.67 42167499
macro avg 0.70 0.69 0.67 42167499
weighted avg 0.72 0.67 0.67 42167499
Accuracy: 0.6704102844705113
precision recall f1-score support
0 0.23 0.26 0.24 744974
1 0.86 0.84 0.85 4060539
accuracy 0.75 4805513
macro avg 0.54 0.55 0.55 4805513
weighted avg 0.76 0.75 0.76 4805513
Accuracy: 0.7508178627339058
40-80%
precision recall f1-score support
0 0.13 0.26 0.17 235909
1 0.92 0.84 0.88 2483775
accuracy 0.79 2719684
macro avg 0.53 0.55 0.53 2719684
weighted avg 0.85 0.79 0.82 2719684
Accuracy: 0.7891902147455366
80-90%
precision recall f1-score support
0 0.09 0.26 0.13 18577
1 0.95 0.84 0.89 296772
accuracy 0.80 315349
macro avg 0.52 0.55 0.51 315349
weighted avg 0.90 0.80 0.84 315349
Accuracy: 0.8033638920687873
90-100%
precision recall f1-score support
0 0.08 0.26 0.13 13620
1 0.95 0.84 0.89 240209
accuracy 0.81 253829
macro avg 0.52 0.55 0.51 253829
weighted avg 0.91 0.81 0.85 253829
Accuracy: 0.8073624369161916
0.4
Treshold: 0.5
All
precision recall f1-score support
0 0.85 0.41 0.56 22531902
1 0.54 0.90 0.67 16938696
accuracy 0.62 39470598
macro avg 0.69 0.66 0.62 39470598
weighted avg 0.72 0.62 0.61 39470598
Accuracy: 0.6240024536745048
precision recall f1-score support
0 0.85 0.41 0.56 22531902
1 0.54 0.90 0.67 16938696
accuracy 0.62 39470598
macro avg 0.69 0.66 0.62 39470598
weighted avg 0.72 0.62 0.61 39470598
Accuracy: 0.6240024536745048
0-1%
precision recall f1-score support
0 1.00 0.99 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 0.99 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 0.99 1.00 1549999
Accuracy: 0.9917967689011412
precision recall f1-score support
0 1.00 0.99 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 0.99 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 0.99 1.00 1549999
Accuracy: 0.9917967689011412
1-10%
precision recall f1-score support
0 0.98 0.55 0.71 12989887
1 0.16 0.88 0.27 1271288
accuracy 0.58 14261175
macro avg 0.57 0.72 0.49 14261175
weighted avg 0.91 0.58 0.67 14261175
Accuracy: 0.5839330209467313
precision recall f1-score support
0 0.97 0.50 0.66 11439888
1 0.16 0.88 0.27 1271288
accuracy 0.53 12711176
macro avg 0.57 0.69 0.47 12711176
weighted avg 0.89 0.53 0.62 12711176
Accuracy: 0.5341981733240103
10-20%
precision recall f1-score support
0 0.94 0.47 0.62 18034328
1 0.32 0.89 0.47 5083660
accuracy 0.56 23117988
macro avg 0.63 0.68 0.55 23117988
weighted avg 0.80 0.56 0.59 23117988
Accuracy: 0.5617400614620961
precision recall f1-score support
0 0.76 0.24 0.37 5044441
1 0.47 0.90 0.62 3812372
accuracy 0.53 8856813
macro avg 0.62 0.57 0.50 8856813
weighted avg 0.64 0.53 0.48 8856813
Accuracy: 0.5260051217068713
20-40%
precision recall f1-score support
0 0.54 0.20 0.30 2995598
1 0.68 0.91 0.78 5583215
accuracy 0.66 8578813
macro avg 0.61 0.56 0.54 8578813
weighted avg 0.63 0.66 0.61 8578813
Accuracy: 0.6614345131430187
precision recall f1-score support
0 0.90 0.43 0.58 21029926
1 0.45 0.90 0.60 10666875
accuracy 0.59 31696801
macro avg 0.67 0.67 0.59 31696801
weighted avg 0.74 0.59 0.59 31696801
Accuracy: 0.5887225969586016
40-80%
precision recall f1-score support
0 0.35 0.19 0.25 1295061
1 0.81 0.91 0.86 5001564
accuracy 0.76 6296625
macro avg 0.58 0.55 0.55 6296625
weighted avg 0.72 0.76 0.73 6296625
Accuracy: 0.7592764377742044
precision recall f1-score support
0 0.86 0.42 0.56 22324987
1 0.52 0.90 0.66 15668439
accuracy 0.62 37993426
macro avg 0.69 0.66 0.61 37993426
weighted avg 0.72 0.62 0.60 37993426
Accuracy: 0.6169883705670555
80-90%
precision recall f1-score support
0 0.25 0.19 0.22 117971
1 0.87 0.90 0.89 692761
accuracy 0.80 810732
macro avg 0.56 0.55 0.55 810732
weighted avg 0.78 0.80 0.79 810732
Accuracy: 0.8006838264679327
90-100%
precision recall f1-score support
0 0.24 0.19 0.21 88944
1 0.88 0.90 0.89 577496
accuracy 0.81 666440
macro avg 0.56 0.55 0.55 666440
weighted avg 0.79 0.81 0.80 666440
Accuracy: 0.8089370385931217
LR_decay_vtime
0.01
Treshold: 0.5
All
precision recall f1-score support
0 0.81 0.34 0.48 28055468
1 0.51 0.90 0.65 21729815
accuracy 0.58 49785283
macro avg 0.66 0.62 0.56 49785283
weighted avg 0.68 0.58 0.55 49785283
Accuracy: 0.5817977573814334
precision recall f1-score support
0 0.81 0.34 0.48 28055468
1 0.51 0.90 0.65 21729815
accuracy 0.58 49785283
macro avg 0.66 0.62 0.56 49785283
weighted avg 0.68 0.58 0.55 49785283
Accuracy: 0.5817977573814334
0-1%
precision recall f1-score support
0 0.84 0.34 0.48 27764588
1 0.46 0.90 0.60 17098553
accuracy 0.55 44863141
macro avg 0.65 0.62 0.54 44863141
weighted avg 0.69 0.55 0.53 44863141
Accuracy: 0.5518211263897015
precision recall f1-score support
0 0.84 0.34 0.48 27764588
1 0.46 0.90 0.60 17098553
accuracy 0.55 44863141
macro avg 0.65 0.62 0.54 44863141
weighted avg 0.69 0.55 0.53 44863141
Accuracy: 0.5518211263897015
1-10%
precision recall f1-score support
0 0.08 0.12 0.09 287564
1 0.94 0.90 0.92 4164787
accuracy 0.85 4452351
macro avg 0.51 0.51 0.51 4452351
weighted avg 0.88 0.85 0.87 4452351
Accuracy: 0.8509160665904373
precision recall f1-score support
0 0.81 0.34 0.48 28052152
1 0.51 0.90 0.65 21263340
accuracy 0.58 49315492
macro avg 0.66 0.62 0.56 49315492
weighted avg 0.68 0.58 0.55 49315492
Accuracy: 0.5788243175187221
10-20%
precision recall f1-score support
0 0.01 0.13 0.02 2455
1 0.99 0.90 0.94 257616
accuracy 0.89 260071
macro avg 0.50 0.51 0.48 260071
weighted avg 0.98 0.89 0.93 260071
Accuracy: 0.8917987780260006
precision recall f1-score support
0 0.81 0.34 0.48 28054607
1 0.51 0.90 0.65 21520956
accuracy 0.58 49575563
macro avg 0.66 0.62 0.56 49575563
weighted avg 0.68 0.58 0.55 49575563
Accuracy: 0.5804661663650699
20-40%
precision recall f1-score support
0 0.81 0.34 0.48 28055266
1 0.51 0.90 0.65 21651524
accuracy 0.58 49706790
macro avg 0.66 0.62 0.56 49706790
weighted avg 0.68 0.58 0.55 49706790
Accuracy: 0.5813016692488089
precision recall f1-score support
0 0.01 0.16 0.02 659
1 1.00 0.90 0.95 130568
accuracy 0.90 131227
macro avg 0.50 0.53 0.48 131227
weighted avg 0.99 0.90 0.94 131227
Accuracy: 0.8969419403019195
40-80%
precision recall f1-score support
0 0.00 0.18 0.01 169
1 1.00 0.90 0.94 65234
accuracy 0.90 65403
macro avg 0.50 0.54 0.48 65403
weighted avg 1.00 0.90 0.94 65403
Accuracy: 0.8953411923000474
precision recall f1-score support
0 0.81 0.34 0.48 28055435
1 0.51 0.90 0.65 21716758
accuracy 0.58 49772193
macro avg 0.66 0.62 0.56 49772193
weighted avg 0.68 0.58 0.55 49772193
Accuracy: 0.5817143319363083
80-90%
precision recall f1-score support
0 0.00 0.13 0.01 15
1 1.00 0.90 0.94 7371
accuracy 0.90 7386
macro avg 0.50 0.52 0.47 7386
weighted avg 1.00 0.90 0.94 7386
Accuracy: 0.8952071486596264
90-100%
precision recall f1-score support
0 0.01 0.28 0.02 18
1 1.00 0.91 0.95 5686
accuracy 0.90 5704
macro avg 0.50 0.59 0.48 5704
weighted avg 0.99 0.90 0.95 5704
Accuracy: 0.9039270687237027
0.1
Treshold: 0.5
All
precision recall f1-score support
0 0.89 0.08 0.14 26119367
1 0.47 0.99 0.64 21615229
accuracy 0.49 47734596
macro avg 0.68 0.53 0.39 47734596
weighted avg 0.70 0.49 0.37 47734596
Accuracy: 0.49043582562215465
precision recall f1-score support
0 0.89 0.08 0.14 26119367
1 0.47 0.99 0.64 21615229
accuracy 0.49 47734596
macro avg 0.68 0.53 0.39 47734596
weighted avg 0.70 0.49 0.37 47734596
Accuracy: 0.49043582562215465
0-1%
precision recall f1-score support
0 1.00 0.14 0.25 12053010
1 0.05 0.99 0.09 508421
accuracy 0.17 12561431
macro avg 0.52 0.56 0.17 12561431
weighted avg 0.96 0.17 0.24 12561431
Accuracy: 0.1745133973987518
precision recall f1-score support
0 1.00 0.14 0.25 12053010
1 0.05 0.99 0.09 508421
accuracy 0.17 12561431
macro avg 0.52 0.56 0.17 12561431
weighted avg 0.96 0.17 0.24 12561431
Accuracy: 0.1745133973987518
1-10%
precision recall f1-score support
0 0.92 0.08 0.15 25421477
1 0.39 0.99 0.56 14975241
accuracy 0.42 40396718
macro avg 0.65 0.53 0.35 40396718
weighted avg 0.72 0.42 0.30 40396718
Accuracy: 0.4166934551465295
precision recall f1-score support
0 0.67 0.03 0.05 13368467
1 0.52 0.99 0.68 14466820
accuracy 0.53 27835287
macro avg 0.60 0.51 0.37 27835287
weighted avg 0.59 0.53 0.38 27835287
Accuracy: 0.5259837989096359
10-20%
precision recall f1-score support
0 0.90 0.08 0.15 25924842
1 0.43 0.99 0.60 18362515
accuracy 0.46 44287357
macro avg 0.67 0.53 0.37 44287357
weighted avg 0.71 0.46 0.33 44287357
Accuracy: 0.4559228494940441
precision recall f1-score support
0 0.21 0.02 0.04 503365
1 0.87 0.99 0.93 3387274
accuracy 0.86 3890639
macro avg 0.54 0.50 0.48 3890639
weighted avg 0.79 0.86 0.81 3890639
Accuracy: 0.8632438013395743
20-40%
precision recall f1-score support
0 0.90 0.08 0.14 26072330
1 0.46 0.99 0.62 20332940
accuracy 0.48 46405270
macro avg 0.68 0.53 0.38 46405270
weighted avg 0.70 0.48 0.35 46405270
Accuracy: 0.47715774523022925
precision recall f1-score support
0 0.14 0.03 0.04 147488
1 0.93 0.99 0.96 1970425
accuracy 0.92 2117913
macro avg 0.54 0.51 0.50 2117913
weighted avg 0.88 0.92 0.90 2117913
Accuracy: 0.9211974240679386
40-80%
precision recall f1-score support
0 0.89 0.08 0.14 26113946
1 0.47 0.99 0.63 21397219
accuracy 0.49 47511165
macro avg 0.68 0.53 0.39 47511165
weighted avg 0.70 0.49 0.37 47511165
Accuracy: 0.48820526711984435
precision recall f1-score support
0 0.09 0.03 0.05 41616
1 0.96 0.99 0.98 1064279
accuracy 0.95 1105895
macro avg 0.53 0.51 0.51 1105895
weighted avg 0.93 0.95 0.94 1105895
Accuracy: 0.9517784238105788
80-90%
precision recall f1-score support
0 0.09 0.05 0.06 3093
1 0.98 0.99 0.98 120943
accuracy 0.96 124036
macro avg 0.53 0.52 0.52 124036
weighted avg 0.95 0.96 0.96 124036
Accuracy: 0.9637363346125318
90-100%
precision recall f1-score support
0 0.08 0.04 0.05 2328
1 0.98 0.99 0.98 97067
accuracy 0.97 99395
macro avg 0.53 0.51 0.52 99395
weighted avg 0.96 0.97 0.96 99395
Accuracy: 0.9660143870416017
0.2
Treshold: 0.5
All
precision recall f1-score support
0 0.92 0.04 0.08 24893266
1 0.46 1.00 0.63 20563095
accuracy 0.47 45456361
macro avg 0.69 0.52 0.36 45456361
weighted avg 0.71 0.47 0.33 45456361
Accuracy: 0.47456570489661504
precision recall f1-score support
0 0.92 0.04 0.08 24893266
1 0.46 1.00 0.63 20563095
accuracy 0.47 45456361
macro avg 0.69 0.52 0.36 45456361
weighted avg 0.71 0.47 0.33 45456361
Accuracy: 0.47456570489661504
0-1%
precision recall f1-score support
0 1.00 0.15 0.27 4873589
1 0.00 0.99 0.00 3872
accuracy 0.15 4877461
macro avg 0.50 0.57 0.13 4877461
weighted avg 1.00 0.15 0.27 4877461
Accuracy: 0.15409431259419604
precision recall f1-score support
0 1.00 0.15 0.27 4873589
1 0.00 0.99 0.00 3872
accuracy 0.15 4877461
macro avg 0.50 0.57 0.13 4877461
weighted avg 1.00 0.15 0.27 4877461
Accuracy: 0.15409431259419604
1-10%
precision recall f1-score support
0 0.96 0.05 0.09 21822692
1 0.28 1.00 0.43 8020644
accuracy 0.30 29843336
macro avg 0.62 0.52 0.26 29843336
weighted avg 0.78 0.30 0.18 29843336
Accuracy: 0.30318336395100065
precision recall f1-score support
0 0.89 0.02 0.04 16949103
1 0.32 1.00 0.49 8016772
accuracy 0.33 24965875
macro avg 0.61 0.51 0.26 24965875
weighted avg 0.71 0.33 0.18 24965875
Accuracy: 0.3323101633730042
10-20%
precision recall f1-score support
0 0.94 0.05 0.09 23880186
1 0.37 1.00 0.54 13481800
accuracy 0.39 37361986
macro avg 0.66 0.52 0.31 37361986
weighted avg 0.74 0.39 0.25 37361986
Accuracy: 0.3882933043227413
precision recall f1-score support
0 0.48 0.01 0.02 2057494
1 0.73 1.00 0.84 5461156
accuracy 0.73 7518650
macro avg 0.60 0.50 0.43 7518650
weighted avg 0.66 0.73 0.62 7518650
Accuracy: 0.7261151935520339
20-40%
precision recall f1-score support
0 0.35 0.01 0.03 744974
1 0.85 1.00 0.91 4060539
accuracy 0.84 4805513
macro avg 0.60 0.50 0.47 4805513
weighted avg 0.77 0.84 0.78 4805513
Accuracy: 0.8432288082458627
40-80%
precision recall f1-score support
0 0.92 0.04 0.08 24861069
1 0.46 1.00 0.63 20026114
accuracy 0.47 44887183
macro avg 0.69 0.52 0.36 44887183
weighted avg 0.71 0.47 0.33 44887183
Accuracy: 0.4686573447926104
precision recall f1-score support
0 0.29 0.02 0.04 235909
1 0.91 1.00 0.95 2483775
accuracy 0.91 2719684
macro avg 0.60 0.51 0.50 2719684
weighted avg 0.86 0.91 0.87 2719684
Accuracy: 0.9108234633141203
80-90%
precision recall f1-score support
0 0.26 0.03 0.05 18577
1 0.94 1.00 0.97 296772
accuracy 0.94 315349
macro avg 0.60 0.51 0.51 315349
weighted avg 0.90 0.94 0.91 315349
Accuracy: 0.9382335127113135
90-100%
precision recall f1-score support
0 0.25 0.03 0.05 13620
1 0.95 1.00 0.97 240209
accuracy 0.94 253829
macro avg 0.60 0.51 0.51 253829
weighted avg 0.91 0.94 0.92 253829
Accuracy: 0.943355566148864
0.4
Treshold: 0.5
All
precision recall f1-score support
0 0.96 0.02 0.04 22531902
1 0.43 1.00 0.61 16938696
accuracy 0.44 39470598
macro avg 0.70 0.51 0.32 39470598
weighted avg 0.73 0.44 0.28 39470598
Accuracy: 0.44080791479267684
precision recall f1-score support
0 0.96 0.02 0.04 22531902
1 0.43 1.00 0.61 16938696
accuracy 0.44 39470598
macro avg 0.70 0.51 0.32 39470598
weighted avg 0.73 0.44 0.28 39470598
Accuracy: 0.44080791479267684
0-1%
precision recall f1-score support
0 1.00 0.17 0.29 1549999
1 0.00 0.00 0.00 0
accuracy 0.17 1549999
macro avg 0.50 0.08 0.14 1549999
weighted avg 1.00 0.17 0.29 1549999
Accuracy: 0.16862785072764563
1-10%
precision recall f1-score support
0 0.99 0.03 0.06 12989887
1 0.09 1.00 0.17 1271288
accuracy 0.12 14261175
macro avg 0.54 0.52 0.12 14261175
weighted avg 0.91 0.12 0.07 14261175
Accuracy: 0.11858826499219033
precision recall f1-score support
0 0.98 0.01 0.03 11439888
1 0.10 1.00 0.18 1271288
accuracy 0.11 12711176
macro avg 0.54 0.51 0.11 12711176
weighted avg 0.90 0.11 0.04 12711176
Accuracy: 0.11248644499926679
10-20%
precision recall f1-score support
0 0.81 0.01 0.01 5044441
1 0.43 1.00 0.60 3812372
accuracy 0.43 8856813
macro avg 0.62 0.50 0.31 8856813
weighted avg 0.65 0.43 0.27 8856813
Accuracy: 0.43288471823894215
20-40%
precision recall f1-score support
0 0.72 0.01 0.01 2995598
1 0.65 1.00 0.79 5583215
accuracy 0.65 8578813
macro avg 0.69 0.50 0.40 8578813
weighted avg 0.68 0.65 0.52 8578813
Accuracy: 0.652011764331499
precision recall f1-score support
0 0.97 0.02 0.04 21029926
1 0.34 1.00 0.51 10666875
accuracy 0.35 31696801
macro avg 0.65 0.51 0.28 31696801
weighted avg 0.76 0.35 0.20 31696801
Accuracy: 0.3507822130062904
40-80%
precision recall f1-score support
0 0.73 0.01 0.02 1295061
1 0.80 1.00 0.89 5001564
accuracy 0.80 6296625
macro avg 0.76 0.50 0.45 6296625
weighted avg 0.78 0.80 0.71 6296625
Accuracy: 0.7953721239552936
precision recall f1-score support
0 0.96 0.02 0.04 22324987
1 0.42 1.00 0.59 15668439
accuracy 0.42 37993426
macro avg 0.69 0.51 0.32 37993426
weighted avg 0.74 0.42 0.27 37993426
Accuracy: 0.42446380065856654
80-90%
precision recall f1-score support
0 0.78 0.01 0.02 117971
1 0.86 1.00 0.92 692761
accuracy 0.86 810732
macro avg 0.82 0.51 0.47 810732
weighted avg 0.85 0.86 0.79 810732
Accuracy: 0.8557155755539438
90-100%
precision recall f1-score support
0 0.80 0.01 0.03 88944
1 0.87 1.00 0.93 577496
accuracy 0.87 666440
macro avg 0.83 0.51 0.48 666440
weighted avg 0.86 0.87 0.81 666440
Accuracy: 0.8678380649420803
Individual Workload Result
zipf_1_15
Ignore Obj Size
0.01
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 6046758 | 0.403719 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| Zipf Optimal Distribution | 9519768 | 0.404397 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| Offline Clock 1st iteration | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | 4543024 | 0.417467 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.5] | 4377254 | 0.420167 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.5] | 3769272 | 0.42713 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | 3794070 | 0.42792 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.5] | 2199323 | 0.435544 | ../../result/log/zipf_1_15 | 0.01 | 1 |
0.1
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5855919 | 0.209857 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| Zipf Optimal Distribution | 8927244 | 0.211885 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| Offline Clock 1st iteration | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.5] | 4189445 | 0.224661 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 3703970 | 0.226198 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.5] | 3878974 | 0.228482 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 4110260 | 0.23031 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.5] | 420889 | 0.248217 | ../../result/log/zipf_1_15 | 0.1 | 1 |
0.2
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5679810 | 0.147307 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| Zipf Optimal Distribution | 8496578 | 0.150203 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| Offline Clock 1st iteration | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.5] | 4064883 | 0.160932 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 4020575 | 0.166207 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.5] | 3445463 | 0.16707 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | 3311970 | 0.167232 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.5] | 217023 | 0.183617 | ../../result/log/zipf_1_15 | 0.2 | 1 |
0.4
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5220469 | 0.0827401 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| Zipf Optimal Distribution | 7658498 | 0.0867334 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| Offline Clock 1st iteration | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.5] | 3740510 | 0.0943411 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | 3760799 | 0.0984036 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 3726531 | 0.0984863 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.5] | 2082106 | 0.103085 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.5] | 87314 | 0.113052 | ../../result/log/zipf_1_15 | 0.4 | 1 |
zipf_1_16
Ignore Obj Size
0.01
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 6044928 | 0.403882 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| Zipf Optimal Distribution | 9516893 | 0.40457 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| Offline Clock 1st iteration | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | 4542238 | 0.417596 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.5] | 4375097 | 0.420329 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.5] | 3768645 | 0.427273 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | 3793209 | 0.428066 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.5] | 2199923 | 0.435688 | ../../result/log/zipf_1_16 | 0.01 | 1 |
0.1
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5851636 | 0.210029 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| Zipf Optimal Distribution | 8926367 | 0.212052 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| Offline Clock 1st iteration | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.5] | 4188394 | 0.224819 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 3704837 | 0.226332 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.5] | 3880149 | 0.228621 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 4111649 | 0.230457 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.5] | 420884 | 0.248365 | ../../result/log/zipf_1_16 | 0.1 | 1 |
0.2
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5683642 | 0.147393 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| Zipf Optimal Distribution | 8505430 | 0.150288 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| Offline Clock 1st iteration | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.5] | 4067828 | 0.161033 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 4025598 | 0.166311 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.5] | 3449253 | 0.167174 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | 3316277 | 0.167327 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.5] | 216807 | 0.183694 | ../../result/log/zipf_1_16 | 0.2 | 1 |
0.4
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5225924 | 0.0827439 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| Zipf Optimal Distribution | 7664562 | 0.0867505 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| Offline Clock 1st iteration | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.5] | 3743350 | 0.0943692 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | 3769124 | 0.0984251 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 3731373 | 0.0985102 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.5] | 2084724 | 0.103106 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.5] | 87208 | 0.113083 | ../../result/log/zipf_1_16 | 0.4 | 1 |
zipf_1_17
Ignore Obj Size
0.01
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 6046350 | 0.403777 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| Zipf Optimal Distribution | 9518366 | 0.404457 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| Offline Clock 1st iteration | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | 4545583 | 0.417482 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.5] | 4377646 | 0.420218 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.5] | 3770422 | 0.427162 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | 3794990 | 0.427964 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.5] | 2203235 | 0.435565 | ../../result/log/zipf_1_17 | 0.01 | 1 |
0.1
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5851791 | 0.209897 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| Zipf Optimal Distribution | 8925674 | 0.211925 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| Offline Clock 1st iteration | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.5] | 4187519 | 0.224686 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 3704953 | 0.226195 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.5] | 3880286 | 0.228496 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 4111180 | 0.23034 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.5] | 420548 | 0.248225 | ../../result/log/zipf_1_17 | 0.1 | 1 |
0.2
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5680729 | 0.147336 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| Zipf Optimal Distribution | 8498188 | 0.150231 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| Offline Clock 1st iteration | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.5] | 4063819 | 0.16096 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 4021063 | 0.166257 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.5] | 3449515 | 0.167086 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | 3315498 | 0.167247 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.5] | 216929 | 0.183643 | ../../result/log/zipf_1_17 | 0.2 | 1 |
0.4
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5224778 | 0.0827112 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| Zipf Optimal Distribution | 7661751 | 0.0867151 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| Offline Clock 1st iteration | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.5] | 3740335 | 0.0943325 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | 3765984 | 0.098396 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 3729960 | 0.0984815 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.5] | 2083598 | 0.103091 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.5] | 87284 | 0.113031 | ../../result/log/zipf_1_17 | 0.4 | 1 |
zipf_1_18
Ignore Obj Size
0.01
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 6046061 | 0.40372 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| Zipf Optimal Distribution | 9518058 | 0.404413 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| Offline Clock 1st iteration | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | 4542541 | 0.417445 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.5] | 4377907 | 0.420158 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.5] | 3768750 | 0.427127 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | 3794220 | 0.427904 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.5] | 2200039 | 0.435536 | ../../result/log/zipf_1_18 | 0.01 | 1 |
0.1
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5852167 | 0.209865 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| Zipf Optimal Distribution | 8924501 | 0.211883 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| Offline Clock 1st iteration | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.5] | 4189562 | 0.22465 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 3706165 | 0.226163 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.5] | 3881983 | 0.228452 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 4111719 | 0.230295 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.5] | 420590 | 0.248191 | ../../result/log/zipf_1_18 | 0.1 | 1 |
0.2
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5677502 | 0.147262 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| Zipf Optimal Distribution | 8501025 | 0.150135 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| Offline Clock 1st iteration | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.5] | 4064000 | 0.160885 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 4021129 | 0.166164 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.5] | 3447337 | 0.167023 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | 3313663 | 0.16718 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.5] | 216802 | 0.183554 | ../../result/log/zipf_1_18 | 0.2 | 1 |
0.4
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5223361 | 0.0826611 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| Zipf Optimal Distribution | 7661309 | 0.0866641 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| Offline Clock 1st iteration | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.5] | 3737695 | 0.0942873 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | 3759032 | 0.0983493 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 3726252 | 0.0984329 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.5] | 2082036 | 0.103021 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.5] | 87300 | 0.112988 | ../../result/log/zipf_1_18 | 0.4 | 1 |
zipf_1_19
Ignore Obj Size
0.01
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 6047379 | 0.403776 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| Zipf Optimal Distribution | 9518278 | 0.404475 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| Offline Clock 1st iteration | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.5] | 4545854 | 0.417485 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.5] | 4379187 | 0.420192 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.5] | 3769376 | 0.427171 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.5] | 3799093 | 0.427947 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.5] | 2201811 | 0.435574 | ../../result/log/zipf_1_19 | 0.01 | 1 |
0.1
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5852464 | 0.209927 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| Zipf Optimal Distribution | 8923837 | 0.21197 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| Offline Clock 1st iteration | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.5] | 4187890 | 0.224725 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.5] | 3707309 | 0.226221 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.5] | 3883613 | 0.228517 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.5] | 4113768 | 0.230355 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.5] | 421338 | 0.248257 | ../../result/log/zipf_1_19 | 0.1 | 1 |
0.2
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5678610 | 0.147359 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| Zipf Optimal Distribution | 8501803 | 0.150225 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| Offline Clock 1st iteration | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.5] | 4062831 | 0.160991 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.5] | 4020467 | 0.166257 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.5] | 3445218 | 0.167118 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.5] | 3311199 | 0.167277 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.5] | 216718 | 0.183648 | ../../result/log/zipf_1_19 | 0.2 | 1 |
0.4
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5227240 | 0.0827181 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| Zipf Optimal Distribution | 7662557 | 0.0867323 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| Offline Clock 1st iteration | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.5] | 3742200 | 0.0943506 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.5] | 3763446 | 0.0984165 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.5] | 3727412 | 0.0984974 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.5] | 2086051 | 0.103083 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.5] | 86897 | 0.113065 | ../../result/log/zipf_1_19 | 0.4 | 1 |