Zipf1 Selected Non-Decay vs Decay Model with Treshold 0.7 Test Data Result Obj Size Ignored
Result
Model Summaries
| Model | Better than base % of the times |
|---|
| LR_7[cache_size=0.01,treshold=0.7] | 0 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 0 |
| LR_7[cache_size=0.1,treshold=0.7] | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 0 |
| LR_7[cache_size=0.2,treshold=0.7] | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 0 |
| LR_7[cache_size=0.4,treshold=0.7] | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 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=0.7] | 28.7011 | 28.6634 | 28.6839 | 28.6851 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 36.3781 | 36.3493 | 36.366 | 36.3718 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 0.0123591 | 0.0110348 | 0.0114865 | 0.0111867 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | 21.0626 | 21.0399 | 21.053 | 21.0563 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.1,treshold=0.7] | 30.4491 | 30.4138 | 30.4274 | 30.4225 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7885 | 29.7363 | 29.7606 | 29.7615 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 1.27606 | 1.24021 | 1.26179 | 1.26404 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | 23.1949 | 23.1637 | 23.1836 | 23.1838 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.2,treshold=0.7] | 29.8396 | 29.8127 | 29.8321 | 29.8348 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 0.00734788 | 0.00627782 | 0.00680156 | 0.00681926 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 4.14884 | 4.11541 | 4.13316 | 4.13037 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.4,treshold=0.7] | 29.0067 | 28.8549 | 28.9199 | 28.9118 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 9.14622 | 9.07493 | 9.09984 | 9.09161 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 9.73816 | 9.67011 | 9.68884 | 9.68025 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 | 0 | 0 |
| Offline Clock 2nd iteration | 43.4673 | 41.4753 | 42.6567 | 43.0175 |
| Zipf Optimal Distribution | 17.0869 | 6.59027 | 12.1282 | 13.1121 |
Miss Ratio Reduced (%)
| Model | Max | Min | Avg | Mdn |
|---|
| LR_7[cache_size=0.01,treshold=0.7] | -1.01491 | -1.02179 | -1.01845 | -1.0189 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | -1.00321 | -1.01315 | -1.00922 | -1.011 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | -0.00123396 | -0.0017273 | -0.00152992 | -0.00148085 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | -2.1115 | -2.11627 | -2.11374 | -2.11292 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.1,treshold=0.7] | -1.21318 | -1.22114 | -1.21774 | -1.21703 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | -1.48348 | -1.49776 | -1.48959 | -1.48797 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | -0.115897 | -0.122047 | -0.118577 | -0.118793 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | -2.5194 | -2.52786 | -2.52376 | -2.52335 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.2,treshold=0.7] | -1.10015 | -1.11492 | -1.10608 | -1.10351 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | -0.000654515 | -0.00130971 | -0.00104729 | -0.00130859 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | -0.433144 | -0.438097 | -0.435678 | -0.436007 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.4,treshold=0.7] | -1.04431 | -1.06864 | -1.05688 | -1.0552 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | -1.00687 | -1.03073 | -1.02295 | -1.02382 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | -1.07807 | -1.10914 | -1.09927 | -1.10456 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 0 | 0 | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 | 0 | 0 |
| Offline Clock 2nd iteration | 7.80369 | 0.100977 | 2.73498 | 1.84941 |
| Zipf Optimal Distribution | 3.35401 | 0.0684004 | 1.23463 | 0.902408 |
Model Summaries Plot
Miss Ratio Reduced (%)
Cache Size All
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 42.6567 | 2.73498 |
| Zipf Optimal Distribution | 12.1282 | 1.23463 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 0.00680156 | -0.00104729 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 0.0114865 | -0.00152992 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 1.26179 | -0.118577 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 4.13316 | -0.435678 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 36.366 | -1.00922 |
| LR_7[cache_size=0.01,treshold=0.7] | 28.6839 | -1.01845 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 9.09984 | -1.02295 |
| LR_7[cache_size=0.4,treshold=0.7] | 28.9199 | -1.05688 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 9.68884 | -1.09927 |
| LR_7[cache_size=0.2,treshold=0.7] | 29.8321 | -1.10608 |
| LR_7[cache_size=0.1,treshold=0.7] | 30.4274 | -1.21774 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7606 | -1.48959 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | 21.053 | -2.11374 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | 23.1836 | -2.52376 |
Cache Size 0.01
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 42.0861 | 0.362449 |
| Zipf Optimal Distribution | 8.83002 | 0.192773 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 0.0114865 | -0.00152992 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 36.366 | -1.00922 |
| LR_7[cache_size=0.01,treshold=0.7] | 28.6839 | -1.01845 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | 21.053 | -2.11374 |
Cache Size 0.1
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.0216 | 1.84971 |
| Zipf Optimal Distribution | 13.1079 | 0.901478 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 1.26179 | -0.118577 |
| LR_7[cache_size=0.1,treshold=0.7] | 30.4274 | -1.21774 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7606 | -1.48959 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | 23.1836 | -2.52376 |
Cache Size 0.2
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.2203 | 3.56227 |
| Zipf Optimal Distribution | 15.0252 | 1.67385 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 0.00680156 | -0.00104729 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 4.13316 | -0.435678 |
| LR_7[cache_size=0.2,treshold=0.7] | 29.8321 | -1.10608 |
Cache Size 0.4
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.458 | 7.79849 |
| Zipf Optimal Distribution | 17.0787 | 3.33504 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 9.09984 | -1.02295 |
| LR_7[cache_size=0.4,treshold=0.7] | 28.9199 | -1.05688 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 9.68884 | -1.09927 |
Cache Size All
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.0175 | 1.84941 |
| Zipf Optimal Distribution | 13.1121 | 0.902408 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 0.00681926 | -0.00130859 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 0.0111867 | -0.00148085 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 1.26404 | -0.118793 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 4.13037 | -0.436007 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 36.3718 | -1.011 |
| LR_7[cache_size=0.01,treshold=0.7] | 28.6851 | -1.0189 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 9.09161 | -1.02382 |
| LR_7[cache_size=0.4,treshold=0.7] | 28.9118 | -1.0552 |
| LR_7[cache_size=0.2,treshold=0.7] | 29.8348 | -1.10351 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 9.68025 | -1.10456 |
| LR_7[cache_size=0.1,treshold=0.7] | 30.4225 | -1.21703 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7615 | -1.48797 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | 21.0563 | -2.11292 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | 23.1838 | -2.52335 |
Cache Size 0.01
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 42.0861 | 0.361512 |
| Zipf Optimal Distribution | 8.82408 | 0.192718 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 0.0111867 | -0.00148085 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 36.3718 | -1.011 |
| LR_7[cache_size=0.01,treshold=0.7] | 28.6851 | -1.0189 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | 21.0563 | -2.11292 |
Cache Size 0.1
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.0175 | 1.84941 |
| Zipf Optimal Distribution | 13.1121 | 0.902408 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 1.26404 | -0.118793 |
| LR_7[cache_size=0.1,treshold=0.7] | 30.4225 | -1.21703 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 29.7615 | -1.48797 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | 23.1838 | -2.52335 |
Cache Size 0.2
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.2233 | 3.56334 |
| Zipf Optimal Distribution | 15.0351 | 1.67163 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 0.00681926 | -0.00130859 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 4.13037 | -0.436007 |
| LR_7[cache_size=0.2,treshold=0.7] | 29.8348 | -1.10351 |
Cache Size 0.4
| Model | Promotion Reduced (%) | Miss Ratio Reduced (%) |
|---|
| Offline Clock 2nd iteration | 43.46 | 7.8007 |
| Zipf Optimal Distribution | 17.0793 | 3.33616 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 9.09161 | -1.02382 |
| LR_7[cache_size=0.4,treshold=0.7] | 28.9118 | -1.0552 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 9.68025 | -1.10456 |
Model Classification Report
LR_7
0.01
Treshold: 0.7
All
precision recall f1-score support
0 0.69 0.88 0.77 28055468
1 0.76 0.50 0.60 21729815
accuracy 0.71 49785283
macro avg 0.73 0.69 0.69 49785283
weighted avg 0.72 0.71 0.70 49785283
Accuracy: 0.7110544294786875
0-1%
precision recall f1-score support
0 0.70 0.88 0.78 27764588
1 0.68 0.39 0.50 17098553
accuracy 0.70 44863141
macro avg 0.69 0.64 0.64 44863141
weighted avg 0.69 0.70 0.67 44863141
Accuracy: 0.6968400406917563
1-10%
precision recall f1-score support
0 0.08 0.16 0.11 287564
1 0.94 0.88 0.91 4164787
accuracy 0.83 4452351
macro avg 0.51 0.52 0.51 4452351
weighted avg 0.88 0.83 0.86 4452351
Accuracy: 0.8325159000267499
10-20%
precision recall f1-score support
0 0.01 0.06 0.02 2455
1 0.99 0.94 0.97 257616
accuracy 0.93 260071
macro avg 0.50 0.50 0.49 260071
weighted avg 0.98 0.93 0.96 260071
Accuracy: 0.934371767709587
20-40%
precision recall f1-score support
0 0.01 0.10 0.01 659
1 1.00 0.92 0.95 130568
accuracy 0.91 131227
macro avg 0.50 0.51 0.48 131227
weighted avg 0.99 0.91 0.95 131227
Accuracy: 0.9129371242198633
40-80%
precision recall f1-score support
0 0.00 0.17 0.01 169
1 1.00 0.87 0.93 65234
accuracy 0.87 65403
macro avg 0.50 0.52 0.47 65403
weighted avg 0.99 0.87 0.93 65403
Accuracy: 0.8724676238093054
80-90%
precision recall f1-score support
0 0.00 0.13 0.00 15
1 1.00 0.85 0.92 7371
accuracy 0.85 7386
macro avg 0.50 0.49 0.46 7386
weighted avg 1.00 0.85 0.92 7386
Accuracy: 0.8479555916598971
90-100%
precision recall f1-score support
0 0.01 0.33 0.01 18
1 1.00 0.85 0.92 5686
accuracy 0.85 5704
macro avg 0.50 0.59 0.47 5704
weighted avg 0.99 0.85 0.91 5704
Accuracy: 0.8467741935483871
0.1
Treshold: 0.7
All
precision recall f1-score support
0 0.69 0.86 0.77 26119367
1 0.76 0.54 0.63 21615229
accuracy 0.71 47734596
macro avg 0.73 0.70 0.70 47734596
weighted avg 0.72 0.71 0.71 47734596
Accuracy: 0.7148622981956315
0-1%
precision recall f1-score support
0 0.96 0.98 0.97 12053010
1 0.15 0.08 0.10 508421
accuracy 0.95 12561431
macro avg 0.56 0.53 0.54 12561431
weighted avg 0.93 0.95 0.94 12561431
Accuracy: 0.9455314446260144
1-10%
precision recall f1-score support
0 0.56 0.78 0.65 13368467
1 0.68 0.43 0.53 14466820
accuracy 0.60 27835287
macro avg 0.62 0.60 0.59 27835287
weighted avg 0.62 0.60 0.59 27835287
Accuracy: 0.5979200430015326
10-20%
precision recall f1-score support
0 0.17 0.28 0.21 503365
1 0.88 0.79 0.84 3387274
accuracy 0.73 3890639
macro avg 0.53 0.54 0.52 3890639
weighted avg 0.79 0.73 0.76 3890639
Accuracy: 0.7282690581161604
20-40%
precision recall f1-score support
0 0.10 0.23 0.14 147488
1 0.94 0.83 0.88 1970425
accuracy 0.79 2117913
macro avg 0.52 0.53 0.51 2117913
weighted avg 0.88 0.79 0.83 2117913
Accuracy: 0.7927138650171183
40-80%
precision recall f1-score support
0 0.05 0.23 0.09 41616
1 0.97 0.84 0.90 1064279
accuracy 0.82 1105895
macro avg 0.51 0.53 0.49 1105895
weighted avg 0.93 0.82 0.87 1105895
Accuracy: 0.8195850419795732
80-90%
precision recall f1-score support
0 0.04 0.24 0.06 3093
1 0.98 0.84 0.90 120943
accuracy 0.82 124036
macro avg 0.51 0.54 0.48 124036
weighted avg 0.95 0.82 0.88 124036
Accuracy: 0.8249137347221774
90-100%
precision recall f1-score support
0 0.03 0.23 0.06 2328
1 0.98 0.84 0.90 97067
accuracy 0.83 99395
macro avg 0.51 0.53 0.48 99395
weighted avg 0.96 0.83 0.88 99395
Accuracy: 0.8263393530861713
0.2
Treshold: 0.7
All
precision recall f1-score support
0 0.70 0.86 0.77 24893266
1 0.76 0.54 0.63 20563095
accuracy 0.72 45456361
macro avg 0.73 0.70 0.70 45456361
weighted avg 0.73 0.72 0.71 45456361
Accuracy: 0.7165491095954646
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.02 0.03 0.03 3872
accuracy 1.00 4877461
macro avg 0.51 0.52 0.51 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9978880405194424
1-10%
precision recall f1-score support
0 0.73 0.89 0.80 16949103
1 0.56 0.29 0.38 8016772
accuracy 0.70 24965875
macro avg 0.64 0.59 0.59 24965875
weighted avg 0.67 0.70 0.67 24965875
Accuracy: 0.6978752397021935
10-20%
precision recall f1-score support
0 0.34 0.52 0.41 2057494
1 0.78 0.63 0.69 5461156
accuracy 0.60 7518650
macro avg 0.56 0.57 0.55 7518650
weighted avg 0.66 0.60 0.62 7518650
Accuracy: 0.5972331469080221
20-40%
precision recall f1-score support
0 0.22 0.38 0.28 744974
1 0.87 0.75 0.80 4060539
accuracy 0.69 4805513
macro avg 0.54 0.56 0.54 4805513
weighted avg 0.77 0.69 0.72 4805513
Accuracy: 0.6909695177185037
40-80%
precision recall f1-score support
0 0.13 0.33 0.19 235909
1 0.93 0.79 0.85 2483775
accuracy 0.75 2719684
macro avg 0.53 0.56 0.52 2719684
weighted avg 0.86 0.75 0.79 2719684
Accuracy: 0.7465668805640655
80-90%
precision recall f1-score support
0 0.09 0.31 0.14 18577
1 0.95 0.80 0.87 296772
accuracy 0.77 315349
macro avg 0.52 0.56 0.50 315349
weighted avg 0.90 0.77 0.82 315349
Accuracy: 0.7704860329349388
90-100%
precision recall f1-score support
0 0.08 0.31 0.13 13620
1 0.95 0.80 0.87 240209
accuracy 0.78 253829
macro avg 0.52 0.56 0.50 253829
weighted avg 0.91 0.78 0.83 253829
Accuracy: 0.7770625105878367
0.4
Treshold: 0.7
All
precision recall f1-score support
0 0.72 0.86 0.78 22531902
1 0.75 0.55 0.64 16938696
accuracy 0.73 39470598
macro avg 0.74 0.71 0.71 39470598
weighted avg 0.73 0.73 0.72 39470598
Accuracy: 0.7295214782405881
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.91 0.97 0.94 11439888
1 0.37 0.17 0.24 1271288
accuracy 0.89 12711176
macro avg 0.64 0.57 0.59 12711176
weighted avg 0.86 0.89 0.87 12711176
Accuracy: 0.8877049613662812
10-20%
precision recall f1-score support
0 0.64 0.82 0.71 5044441
1 0.61 0.38 0.47 3812372
accuracy 0.63 8856813
macro avg 0.62 0.60 0.59 8856813
weighted avg 0.62 0.63 0.61 8856813
Accuracy: 0.6289794082815117
20-40%
precision recall f1-score support
0 0.46 0.64 0.54 2995598
1 0.76 0.60 0.67 5583215
accuracy 0.62 8578813
macro avg 0.61 0.62 0.60 8578813
weighted avg 0.65 0.62 0.62 8578813
Accuracy: 0.6154488971842608
40-80%
precision recall f1-score support
0 0.30 0.53 0.39 1295061
1 0.85 0.68 0.76 5001564
accuracy 0.65 6296625
macro avg 0.58 0.61 0.57 6296625
weighted avg 0.74 0.65 0.68 6296625
Accuracy: 0.6527049014352927
80-90%
precision recall f1-score support
0 0.22 0.50 0.31 117971
1 0.89 0.70 0.79 692761
accuracy 0.67 810732
macro avg 0.56 0.60 0.55 810732
weighted avg 0.79 0.67 0.72 810732
Accuracy: 0.6739526748666637
90-100%
precision recall f1-score support
0 0.21 0.49 0.29 88944
1 0.90 0.71 0.79 577496
accuracy 0.68 666440
macro avg 0.55 0.60 0.54 666440
weighted avg 0.81 0.68 0.73 666440
Accuracy: 0.6813351539523438
LR_7_decay_rtime
0.01
Treshold: 0.7
All
precision recall f1-score support
0 0.76 0.85 0.81 28055468
1 0.78 0.66 0.71 21729815
accuracy 0.77 49785283
macro avg 0.77 0.76 0.76 49785283
weighted avg 0.77 0.77 0.77 49785283
Accuracy: 0.7690147307187146
0-1%
precision recall f1-score support
0 0.76 0.86 0.81 27764588
1 0.72 0.57 0.63 17098553
accuracy 0.75 44863141
macro avg 0.74 0.72 0.72 44863141
weighted avg 0.75 0.75 0.74 44863141
Accuracy: 0.7502416070243499
1-10%
precision recall f1-score support
0 0.11 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.93 4452351
macro avg 0.52 0.50 0.48 4452351
weighted avg 0.88 0.93 0.90 4452351
Accuracy: 0.9345509821665003
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905487347685824
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
0.1
Treshold: 0.7
All
precision recall f1-score support
0 0.69 0.84 0.76 26119367
1 0.74 0.54 0.62 21615229
accuracy 0.70 47734596
macro avg 0.71 0.69 0.69 47734596
weighted avg 0.71 0.70 0.70 47734596
Accuracy: 0.7039990869515267
0-1%
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.25 0.06 0.09 508421
accuracy 0.95 12561431
macro avg 0.60 0.52 0.53 12561431
weighted avg 0.93 0.95 0.94 12561431
Accuracy: 0.9548778319922309
1-10%
precision recall f1-score support
0 0.56 0.73 0.63 13368467
1 0.65 0.48 0.55 14466820
accuracy 0.60 27835287
macro avg 0.61 0.60 0.59 27835287
weighted avg 0.61 0.60 0.59 27835287
Accuracy: 0.5969808394646694
10-20%
precision recall f1-score support
0 0.15 0.37 0.21 503365
1 0.88 0.69 0.78 3387274
accuracy 0.65 3890639
macro avg 0.52 0.53 0.50 3890639
weighted avg 0.79 0.65 0.70 3890639
Accuracy: 0.6523319177132599
20-40%
precision recall f1-score support
0 0.08 0.33 0.13 147488
1 0.94 0.73 0.82 1970425
accuracy 0.70 2117913
macro avg 0.51 0.53 0.48 2117913
weighted avg 0.88 0.70 0.77 2117913
Accuracy: 0.7008588171468799
40-80%
precision recall f1-score support
0 0.05 0.31 0.08 41616
1 0.97 0.74 0.84 1064279
accuracy 0.73 1105895
macro avg 0.51 0.53 0.46 1105895
weighted avg 0.93 0.73 0.81 1105895
Accuracy: 0.7286134759629078
80-90%
precision recall f1-score support
0 0.03 0.31 0.06 3093
1 0.98 0.75 0.85 120943
accuracy 0.74 124036
macro avg 0.50 0.53 0.45 124036
weighted avg 0.95 0.74 0.83 124036
Accuracy: 0.7386000838466251
90-100%
precision recall f1-score support
0 0.03 0.29 0.05 2328
1 0.98 0.75 0.85 97067
accuracy 0.74 99395
macro avg 0.50 0.52 0.45 99395
weighted avg 0.96 0.74 0.83 99395
Accuracy: 0.7406609990442176
0.2
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.12 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.33 0.50 0.35 45456361
weighted avg 0.35 0.55 0.39 45456361
Accuracy: 0.547599773769836
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992042991220227
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.11 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.39 0.50 0.40 24965875
weighted avg 0.50 0.68 0.55 24965875
Accuracy: 0.6788619265297131
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.17 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.22 0.50 0.21 7518650
weighted avg 0.20 0.27 0.12 7518650
Accuracy: 0.2736177372267628
20-40%
precision recall f1-score support
0 0.15 1.00 0.27 744974
1 0.12 0.00 0.00 4060539
accuracy 0.15 4805513
macro avg 0.14 0.50 0.13 4805513
weighted avg 0.13 0.15 0.04 4805513
Accuracy: 0.15498303719082646
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.05 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.07 0.50 0.08 2719684
weighted avg 0.06 0.09 0.01 2719684
Accuracy: 0.08668433538602278
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.058861769024160536
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.11 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.08 0.50 0.05 253829
weighted avg 0.11 0.05 0.01 253829
Accuracy: 0.05360301620382226
0.4
Treshold: 0.7
All
precision recall f1-score support
0 0.67 0.91 0.77 22531902
1 0.77 0.40 0.53 16938696
accuracy 0.69 39470598
macro avg 0.72 0.66 0.65 39470598
weighted avg 0.71 0.69 0.67 39470598
Accuracy: 0.6930104023252954
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.93 0.96 0.95 11439888
1 0.52 0.36 0.43 1271288
accuracy 0.90 12711176
macro avg 0.73 0.66 0.69 12711176
weighted avg 0.89 0.90 0.89 12711176
Accuracy: 0.9030441400543899
10-20%
precision recall f1-score support
0 0.65 0.87 0.75 5044441
1 0.69 0.39 0.50 3812372
accuracy 0.66 8856813
macro avg 0.67 0.63 0.62 8856813
weighted avg 0.67 0.66 0.64 8856813
Accuracy: 0.6643612098392503
20-40%
precision recall f1-score support
0 0.42 0.81 0.56 2995598
1 0.80 0.41 0.54 5583215
accuracy 0.55 8578813
macro avg 0.61 0.61 0.55 8578813
weighted avg 0.67 0.55 0.55 8578813
Accuracy: 0.55040703183529
40-80%
precision recall f1-score support
0 0.25 0.78 0.38 1295061
1 0.88 0.41 0.56 5001564
accuracy 0.48 6296625
macro avg 0.57 0.59 0.47 6296625
weighted avg 0.75 0.48 0.52 6296625
Accuracy: 0.48414015444781927
80-90%
precision recall f1-score support
0 0.18 0.77 0.29 117971
1 0.91 0.40 0.56 692761
accuracy 0.46 810732
macro avg 0.54 0.58 0.42 810732
weighted avg 0.80 0.46 0.52 810732
Accuracy: 0.4561112673485196
90-100%
precision recall f1-score support
0 0.16 0.76 0.27 88944
1 0.92 0.40 0.56 577496
accuracy 0.45 666440
macro avg 0.54 0.58 0.42 666440
weighted avg 0.82 0.45 0.52 666440
Accuracy: 0.4510353520196867
LR_7_decay_vtime
0.01
Treshold: 0.7
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.16 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.36 0.50 0.36 49785283
weighted avg 0.39 0.56 0.41 49785283
Accuracy: 0.5634782270897205
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.14 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.38 0.50 0.38 44863141
weighted avg 0.44 0.62 0.47 44863141
Accuracy: 0.6188176837640503
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.38 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.22 0.50 0.06 4452351
weighted avg 0.36 0.06 0.01 4452351
Accuracy: 0.06457532211633808
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.44 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.22 0.50 0.01 260071
weighted avg 0.43 0.01 0.00 260071
Accuracy: 0.009432039712232429
20-40%
precision recall f1-score support
0 0.00 0.99 0.01 659
1 0.22 0.00 0.00 130568
accuracy 0.00 131227
macro avg 0.11 0.49 0.00 131227
weighted avg 0.22 0.00 0.00 131227
Accuracy: 0.00498373048229404
40-80%
precision recall f1-score support
0 0.00 0.98 0.01 169
1 0.20 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.10 0.49 0.00 65403
weighted avg 0.20 0.00 0.00 65403
Accuracy: 0.002538109872635812
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
0.1
Treshold: 0.7
All
precision recall f1-score support
0 0.58 0.94 0.72 26119367
1 0.72 0.17 0.28 21615229
accuracy 0.60 47734596
macro avg 0.65 0.56 0.50 47734596
weighted avg 0.64 0.60 0.52 47734596
Accuracy: 0.5954824463162943
0-1%
precision recall f1-score support
0 0.96 0.99 0.98 12053010
1 0.40 0.15 0.21 508421
accuracy 0.96 12561431
macro avg 0.68 0.57 0.60 12561431
weighted avg 0.94 0.96 0.95 12561431
Accuracy: 0.9565823352450847
1-10%
precision recall f1-score support
0 0.50 0.91 0.65 13368467
1 0.67 0.17 0.27 14466820
accuracy 0.52 27835287
macro avg 0.58 0.54 0.46 27835287
weighted avg 0.59 0.52 0.45 27835287
Accuracy: 0.5243259033039609
10-20%
precision recall f1-score support
0 0.13 0.84 0.23 503365
1 0.88 0.18 0.31 3387274
accuracy 0.27 3890639
macro avg 0.51 0.51 0.27 3890639
weighted avg 0.79 0.27 0.30 3890639
Accuracy: 0.2688671449599924
20-40%
precision recall f1-score support
0 0.07 0.83 0.13 147488
1 0.94 0.19 0.31 1970425
accuracy 0.23 2117913
macro avg 0.50 0.51 0.22 2117913
weighted avg 0.88 0.23 0.30 2117913
Accuracy: 0.23132819903367136
40-80%
precision recall f1-score support
0 0.04 0.84 0.07 41616
1 0.97 0.19 0.31 1064279
accuracy 0.21 1105895
macro avg 0.50 0.51 0.19 1105895
weighted avg 0.93 0.21 0.30 1105895
Accuracy: 0.21072163270473238
80-90%
precision recall f1-score support
0 0.03 0.84 0.05 3093
1 0.98 0.19 0.32 120943
accuracy 0.20 124036
macro avg 0.50 0.51 0.18 124036
weighted avg 0.95 0.20 0.31 124036
Accuracy: 0.204295527105034
90-100%
precision recall f1-score support
0 0.02 0.83 0.05 2328
1 0.98 0.19 0.31 97067
accuracy 0.20 99395
macro avg 0.50 0.51 0.18 99395
weighted avg 0.96 0.20 0.31 99395
Accuracy: 0.2005634086221641
0.2
Treshold: 0.7
All
precision recall f1-score support
0 0.60 0.93 0.73 24893266
1 0.74 0.26 0.38 20563095
accuracy 0.62 45456361
macro avg 0.67 0.59 0.56 45456361
weighted avg 0.67 0.62 0.57 45456361
Accuracy: 0.6240705453742766
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.25 0.21 0.23 3872
accuracy 1.00 4877461
macro avg 0.62 0.61 0.61 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9988602676679527
1-10%
precision recall f1-score support
0 0.72 0.93 0.81 16949103
1 0.62 0.25 0.35 8016772
accuracy 0.71 24965875
macro avg 0.67 0.59 0.58 24965875
weighted avg 0.69 0.71 0.66 24965875
Accuracy: 0.7087652245314855
10-20%
precision recall f1-score support
0 0.29 0.81 0.43 2057494
1 0.79 0.26 0.40 5461156
accuracy 0.41 7518650
macro avg 0.54 0.54 0.41 7518650
weighted avg 0.65 0.41 0.41 7518650
Accuracy: 0.4141135709203115
20-40%
precision recall f1-score support
0 0.17 0.79 0.27 744974
1 0.87 0.27 0.41 4060539
accuracy 0.35 4805513
macro avg 0.52 0.53 0.34 4805513
weighted avg 0.76 0.35 0.39 4805513
Accuracy: 0.3480512902576686
40-80%
precision recall f1-score support
0 0.09 0.79 0.17 235909
1 0.93 0.27 0.41 2483775
accuracy 0.31 2719684
macro avg 0.51 0.53 0.29 2719684
weighted avg 0.86 0.31 0.39 2719684
Accuracy: 0.3115865666746578
80-90%
precision recall f1-score support
0 0.06 0.79 0.12 18577
1 0.95 0.26 0.41 296772
accuracy 0.30 315349
macro avg 0.51 0.53 0.27 315349
weighted avg 0.90 0.30 0.40 315349
Accuracy: 0.29552337251743305
90-100%
precision recall f1-score support
0 0.06 0.79 0.11 13620
1 0.96 0.26 0.41 240209
accuracy 0.29 253829
macro avg 0.51 0.53 0.26 253829
weighted avg 0.91 0.29 0.40 253829
Accuracy: 0.2930319230663163
0.4
Treshold: 0.7
All
precision recall f1-score support
0 0.67 0.91 0.77 22531902
1 0.77 0.41 0.53 16938696
accuracy 0.69 39470598
macro avg 0.72 0.66 0.65 39470598
weighted avg 0.71 0.69 0.67 39470598
Accuracy: 0.6939022560539874
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.93 0.96 0.95 11439888
1 0.52 0.36 0.43 1271288
accuracy 0.90 12711176
macro avg 0.73 0.66 0.69 12711176
weighted avg 0.89 0.90 0.89 12711176
Accuracy: 0.9025836004473543
10-20%
precision recall f1-score support
0 0.66 0.87 0.75 5044441
1 0.69 0.40 0.51 3812372
accuracy 0.66 8856813
macro avg 0.67 0.63 0.63 8856813
weighted avg 0.67 0.66 0.64 8856813
Accuracy: 0.6646752054040206
20-40%
precision recall f1-score support
0 0.43 0.81 0.56 2995598
1 0.80 0.41 0.55 5583215
accuracy 0.55 8578813
macro avg 0.61 0.61 0.55 8578813
weighted avg 0.67 0.55 0.55 8578813
Accuracy: 0.5521397890360823
40-80%
precision recall f1-score support
0 0.25 0.77 0.38 1295061
1 0.88 0.41 0.56 5001564
accuracy 0.49 6296625
macro avg 0.57 0.59 0.47 6296625
weighted avg 0.75 0.49 0.52 6296625
Accuracy: 0.4870548905167451
80-90%
precision recall f1-score support
0 0.18 0.76 0.29 117971
1 0.91 0.41 0.56 692761
accuracy 0.46 810732
macro avg 0.54 0.59 0.43 810732
weighted avg 0.80 0.46 0.52 810732
Accuracy: 0.4594588594011338
90-100%
precision recall f1-score support
0 0.17 0.76 0.27 88944
1 0.92 0.41 0.56 577496
accuracy 0.45 666440
macro avg 0.54 0.58 0.42 666440
weighted avg 0.82 0.45 0.53 666440
Accuracy: 0.4545510473561011
LR_decay_rtime
0.01
Treshold: 0.7
All
precision recall f1-score support
0 0.58 0.86 0.70 28055468
1 0.54 0.21 0.30 21729815
accuracy 0.58 49785283
macro avg 0.56 0.53 0.50 49785283
weighted avg 0.56 0.58 0.52 49785283
Accuracy: 0.5765067158501439
0-1%
precision recall f1-score support
0 0.65 0.86 0.74 27764588
1 0.53 0.25 0.34 17098553
accuracy 0.63 44863141
macro avg 0.59 0.55 0.54 44863141
weighted avg 0.60 0.63 0.59 44863141
Accuracy: 0.628007232039326
1-10%
precision recall f1-score support
0 0.06 0.94 0.12 287564
1 0.93 0.06 0.11 4164787
accuracy 0.12 4452351
macro avg 0.50 0.50 0.12 4452351
weighted avg 0.88 0.12 0.11 4452351
Accuracy: 0.11696472268246597
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.99 0.01 0.02 257616
accuracy 0.02 260071
macro avg 0.50 0.50 0.02 260071
weighted avg 0.99 0.02 0.02 260071
Accuracy: 0.01841804737936948
20-40%
precision recall f1-score support
0 0.01 0.99 0.01 659
1 0.99 0.00 0.01 130568
accuracy 0.01 131227
macro avg 0.50 0.50 0.01 131227
weighted avg 0.99 0.01 0.01 131227
Accuracy: 0.009510237984561104
40-80%
precision recall f1-score support
0 0.00 0.99 0.01 169
1 0.99 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.50 0.50 0.00 65403
weighted avg 0.99 0.00 0.00 65403
Accuracy: 0.004693974282525266
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 1.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.50 0.50 0.00 7386
weighted avg 1.00 0.00 0.00 7386
Accuracy: 0.003926347143243975
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 1.00 0.00 0.00 5686
accuracy 0.01 5704
macro avg 0.50 0.50 0.01 5704
weighted avg 1.00 0.01 0.00 5704
Accuracy: 0.005434782608695652
0.1
Treshold: 0.7
All
precision recall f1-score support
0 0.64 0.85 0.73 26119367
1 0.70 0.42 0.53 21615229
accuracy 0.66 47734596
macro avg 0.67 0.64 0.63 47734596
weighted avg 0.67 0.66 0.64 47734596
Accuracy: 0.6553020371220907
0-1%
precision recall f1-score support
0 0.97 0.97 0.97 12053010
1 0.28 0.29 0.29 508421
accuracy 0.94 12561431
macro avg 0.63 0.63 0.63 12561431
weighted avg 0.94 0.94 0.94 12561431
Accuracy: 0.941196906626323
1-10%
precision recall f1-score support
0 0.54 0.75 0.63 13368467
1 0.64 0.42 0.51 14466820
accuracy 0.58 27835287
macro avg 0.59 0.58 0.57 27835287
weighted avg 0.60 0.58 0.57 27835287
Accuracy: 0.5781541250140514
10-20%
precision recall f1-score support
0 0.14 0.61 0.23 503365
1 0.88 0.45 0.59 3387274
accuracy 0.47 3890639
macro avg 0.51 0.53 0.41 3890639
weighted avg 0.79 0.47 0.55 3890639
Accuracy: 0.46630771963165946
20-40%
precision recall f1-score support
0 0.07 0.60 0.13 147488
1 0.94 0.44 0.60 1970425
accuracy 0.45 2117913
macro avg 0.51 0.52 0.37 2117913
weighted avg 0.88 0.45 0.57 2117913
Accuracy: 0.4530648803798834
40-80%
precision recall f1-score support
0 0.04 0.61 0.08 41616
1 0.97 0.44 0.60 1064279
accuracy 0.45 1105895
macro avg 0.50 0.52 0.34 1105895
weighted avg 0.93 0.45 0.58 1105895
Accuracy: 0.4451986852278019
80-90%
precision recall f1-score support
0 0.03 0.62 0.05 3093
1 0.98 0.44 0.61 120943
accuracy 0.44 124036
macro avg 0.50 0.53 0.33 124036
weighted avg 0.95 0.44 0.59 124036
Accuracy: 0.44258118610725916
90-100%
precision recall f1-score support
0 0.02 0.60 0.05 2328
1 0.98 0.44 0.60 97067
accuracy 0.44 99395
macro avg 0.50 0.52 0.33 99395
weighted avg 0.96 0.44 0.59 99395
Accuracy: 0.4395190904975099
0.2
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
0.4
Treshold: 0.7
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
LR_decay_vtime
0.01
Treshold: 0.7
All
precision recall f1-score support
0 0.56 1.00 0.72 28055468
1 0.00 0.00 0.00 21729815
accuracy 0.56 49785283
macro avg 0.28 0.50 0.36 49785283
weighted avg 0.32 0.56 0.41 49785283
Accuracy: 0.5635293466143398
0-1%
precision recall f1-score support
0 0.62 1.00 0.76 27764588
1 0.00 0.00 0.00 17098553
accuracy 0.62 44863141
macro avg 0.31 0.50 0.38 44863141
weighted avg 0.38 0.62 0.47 44863141
Accuracy: 0.6188730298665446
1-10%
precision recall f1-score support
0 0.06 1.00 0.12 287564
1 0.00 0.00 0.00 4164787
accuracy 0.06 4452351
macro avg 0.03 0.50 0.06 4452351
weighted avg 0.00 0.06 0.01 4452351
Accuracy: 0.06458700133929243
10-20%
precision recall f1-score support
0 0.01 1.00 0.02 2455
1 0.00 0.00 0.00 257616
accuracy 0.01 260071
macro avg 0.00 0.50 0.01 260071
weighted avg 0.00 0.01 0.00 260071
Accuracy: 0.009439729919906487
20-40%
precision recall f1-score support
0 0.01 1.00 0.01 659
1 0.00 0.00 0.00 130568
accuracy 0.01 131227
macro avg 0.00 0.50 0.00 131227
weighted avg 0.00 0.01 0.00 131227
Accuracy: 0.005021832397296288
40-80%
precision recall f1-score support
0 0.00 1.00 0.01 169
1 0.00 0.00 0.00 65234
accuracy 0.00 65403
macro avg 0.00 0.50 0.00 65403
weighted avg 0.00 0.00 0.00 65403
Accuracy: 0.002583979328165375
80-90%
precision recall f1-score support
0 0.00 1.00 0.00 15
1 0.00 0.00 0.00 7371
accuracy 0.00 7386
macro avg 0.00 0.50 0.00 7386
weighted avg 0.00 0.00 0.00 7386
Accuracy: 0.0020308692120227455
90-100%
precision recall f1-score support
0 0.00 1.00 0.01 18
1 0.00 0.00 0.00 5686
accuracy 0.00 5704
macro avg 0.00 0.50 0.00 5704
weighted avg 0.00 0.00 0.00 5704
Accuracy: 0.003155680224403927
0.1
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 26119367
1 0.00 0.00 0.00 21615229
accuracy 0.55 47734596
macro avg 0.27 0.50 0.35 47734596
weighted avg 0.30 0.55 0.39 47734596
Accuracy: 0.5471789684781243
0-1%
precision recall f1-score support
0 0.96 1.00 0.98 12053010
1 0.00 0.00 0.00 508421
accuracy 0.96 12561431
macro avg 0.48 0.50 0.49 12561431
weighted avg 0.92 0.96 0.94 12561431
Accuracy: 0.9595252324356994
1-10%
precision recall f1-score support
0 0.48 1.00 0.65 13368467
1 0.00 0.00 0.00 14466820
accuracy 0.48 27835287
macro avg 0.24 0.50 0.32 27835287
weighted avg 0.23 0.48 0.31 27835287
Accuracy: 0.4802704926304514
10-20%
precision recall f1-score support
0 0.13 1.00 0.23 503365
1 0.00 0.00 0.00 3387274
accuracy 0.13 3890639
macro avg 0.06 0.50 0.11 3890639
weighted avg 0.02 0.13 0.03 3890639
Accuracy: 0.12937849026856513
20-40%
precision recall f1-score support
0 0.07 1.00 0.13 147488
1 0.00 0.00 0.00 1970425
accuracy 0.07 2117913
macro avg 0.03 0.50 0.07 2117913
weighted avg 0.00 0.07 0.01 2117913
Accuracy: 0.0696383656930195
40-80%
precision recall f1-score support
0 0.04 1.00 0.07 41616
1 0.00 0.00 0.00 1064279
accuracy 0.04 1105895
macro avg 0.02 0.50 0.04 1105895
weighted avg 0.00 0.04 0.00 1105895
Accuracy: 0.03763105900650604
80-90%
precision recall f1-score support
0 0.02 1.00 0.05 3093
1 0.00 0.00 0.00 120943
accuracy 0.02 124036
macro avg 0.01 0.50 0.02 124036
weighted avg 0.00 0.02 0.00 124036
Accuracy: 0.024936308813570254
90-100%
precision recall f1-score support
0 0.02 1.00 0.05 2328
1 0.00 0.00 0.00 97067
accuracy 0.02 99395
macro avg 0.01 0.50 0.02 99395
weighted avg 0.00 0.02 0.00 99395
Accuracy: 0.023421701292821572
0.2
Treshold: 0.7
All
precision recall f1-score support
0 0.55 1.00 0.71 24893266
1 0.00 0.00 0.00 20563095
accuracy 0.55 45456361
macro avg 0.27 0.50 0.35 45456361
weighted avg 0.30 0.55 0.39 45456361
Accuracy: 0.5476299785633962
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 4873589
1 0.00 0.00 0.00 3872
accuracy 1.00 4877461
macro avg 0.50 0.50 0.50 4877461
weighted avg 1.00 1.00 1.00 4877461
Accuracy: 0.9992061443443627
1-10%
precision recall f1-score support
0 0.68 1.00 0.81 16949103
1 0.00 0.00 0.00 8016772
accuracy 0.68 24965875
macro avg 0.34 0.50 0.40 24965875
weighted avg 0.46 0.68 0.55 24965875
Accuracy: 0.678890805950122
10-20%
precision recall f1-score support
0 0.27 1.00 0.43 2057494
1 0.00 0.00 0.00 5461156
accuracy 0.27 7518650
macro avg 0.14 0.50 0.21 7518650
weighted avg 0.07 0.27 0.12 7518650
Accuracy: 0.2736520518976146
20-40%
precision recall f1-score support
0 0.16 1.00 0.27 744974
1 0.00 0.00 0.00 4060539
accuracy 0.16 4805513
macro avg 0.08 0.50 0.13 4805513
weighted avg 0.02 0.16 0.04 4805513
Accuracy: 0.15502486415082012
40-80%
precision recall f1-score support
0 0.09 1.00 0.16 235909
1 0.00 0.00 0.00 2483775
accuracy 0.09 2719684
macro avg 0.04 0.50 0.08 2719684
weighted avg 0.01 0.09 0.01 2719684
Accuracy: 0.08674132730126
80-90%
precision recall f1-score support
0 0.06 1.00 0.11 18577
1 0.00 0.00 0.00 296772
accuracy 0.06 315349
macro avg 0.03 0.50 0.06 315349
weighted avg 0.00 0.06 0.01 315349
Accuracy: 0.05890933537128705
90-100%
precision recall f1-score support
0 0.05 1.00 0.10 13620
1 0.00 0.00 0.00 240209
accuracy 0.05 253829
macro avg 0.03 0.50 0.05 253829
weighted avg 0.00 0.05 0.01 253829
Accuracy: 0.05365817144613105
0.4
Treshold: 0.7
All
precision recall f1-score support
0 0.57 1.00 0.73 22531902
1 0.00 0.00 0.00 16938696
accuracy 0.57 39470598
macro avg 0.29 0.50 0.36 39470598
weighted avg 0.33 0.57 0.41 39470598
Accuracy: 0.5708528155565314
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
accuracy 1.00 1549999
macro avg 1.00 1.00 1.00 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 1.0
1-10%
precision recall f1-score support
0 0.90 1.00 0.95 11439888
1 0.00 0.00 0.00 1271288
accuracy 0.90 12711176
macro avg 0.45 0.50 0.47 12711176
weighted avg 0.81 0.90 0.85 12711176
Accuracy: 0.8999865944740282
10-20%
precision recall f1-score support
0 0.57 1.00 0.73 5044441
1 0.00 0.00 0.00 3812372
accuracy 0.57 8856813
macro avg 0.28 0.50 0.36 8856813
weighted avg 0.32 0.57 0.41 8856813
Accuracy: 0.5695548726161431
20-40%
precision recall f1-score support
0 0.35 1.00 0.52 2995598
1 0.00 0.00 0.00 5583215
accuracy 0.35 8578813
macro avg 0.17 0.50 0.26 8578813
weighted avg 0.12 0.35 0.18 8578813
Accuracy: 0.34918560411562766
40-80%
precision recall f1-score support
0 0.21 1.00 0.34 1295061
1 0.00 0.00 0.00 5001564
accuracy 0.21 6296625
macro avg 0.10 0.50 0.17 6296625
weighted avg 0.04 0.21 0.07 6296625
Accuracy: 0.20567542135667918
80-90%
precision recall f1-score support
0 0.15 1.00 0.25 117971
1 0.00 0.00 0.00 692761
accuracy 0.15 810732
macro avg 0.07 0.50 0.13 810732
weighted avg 0.02 0.15 0.04 810732
Accuracy: 0.14551171040491803
90-100%
precision recall f1-score support
0 0.13 1.00 0.24 88944
1 0.00 0.00 0.00 577496
accuracy 0.13 666440
macro avg 0.07 0.50 0.12 666440
weighted avg 0.02 0.13 0.03 666440
Accuracy: 0.13346137686813517
Individual Workload Result
zipf_1_15
Ignore Obj Size
0.01
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 6046758 | 0.403719 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| Zipf Optimal Distribution | 9519768 | 0.404397 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| Offline Clock 1st iteration | 10440959 | 0.405173 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 10439791 | 0.405179 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 6643390 | 0.409278 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.7] | 7445242 | 0.409313 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | 8242479 | 0.413734 | ../../result/log/zipf_1_15 | 0.01 | 1 |
0.1
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5855919 | 0.209857 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| Zipf Optimal Distribution | 8927244 | 0.211885 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| Offline Clock 1st iteration | 10273545 | 0.213817 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 10143683 | 0.214071 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.7] | 7146708 | 0.216428 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 7216965 | 0.216996 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | 7890608 | 0.219222 | ../../result/log/zipf_1_15 | 0.1 | 1 |
0.2
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5679810 | 0.147307 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| Zipf Optimal Distribution | 8496578 | 0.150203 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| Offline Clock 1st iteration | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 10000415 | 0.15275 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 9999712 | 0.152751 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 9586284 | 0.153416 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.7] | 7016918 | 0.154434 | ../../result/log/zipf_1_15 | 0.2 | 1 |
0.4
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5220469 | 0.0827401 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| Zipf Optimal Distribution | 7658498 | 0.0867334 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| Offline Clock 1st iteration | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 9234422 | 0.0897434 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 8395556 | 0.090647 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.7] | 6564585 | 0.0906806 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 8341028 | 0.0907109 | ../../result/log/zipf_1_15 | 0.4 | 1 |
zipf_1_16
Ignore Obj Size
0.01
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 6044928 | 0.403882 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| Zipf Optimal Distribution | 9516893 | 0.40457 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| Offline Clock 1st iteration | 10437637 | 0.405347 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 10436347 | 0.405354 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 6641067 | 0.409452 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.7] | 7441925 | 0.409488 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | 8239578 | 0.413925 | ../../result/log/zipf_1_16 | 0.01 | 1 |
0.1
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5851636 | 0.210029 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| Zipf Optimal Distribution | 8926367 | 0.212052 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| Offline Clock 1st iteration | 10274590 | 0.213983 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 10147164 | 0.214231 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.7] | 7149477 | 0.216579 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 7216374 | 0.217167 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | 7894610 | 0.21938 | ../../result/log/zipf_1_16 | 0.1 | 1 |
0.2
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5683642 | 0.147393 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| Zipf Optimal Distribution | 8505430 | 0.150288 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| Offline Clock 1st iteration | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 10010518 | 0.152836 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 10009864 | 0.152838 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 9598544 | 0.153498 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.7] | 7023421 | 0.15454 | ../../result/log/zipf_1_16 | 0.2 | 1 |
0.4
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5225924 | 0.0827439 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| Zipf Optimal Distribution | 7664562 | 0.0867505 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| Offline Clock 1st iteration | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 9242882 | 0.0897459 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 8401564 | 0.0906702 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.7] | 6575861 | 0.0906929 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 8348071 | 0.0907372 | ../../result/log/zipf_1_16 | 0.4 | 1 |
zipf_1_17
Ignore Obj Size
0.01
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 6046350 | 0.403777 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| Zipf Optimal Distribution | 9518366 | 0.404457 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| Offline Clock 1st iteration | 10439561 | 0.405242 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 10438399 | 0.405248 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 6644053 | 0.409339 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.7] | 7445732 | 0.409371 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | 8240720 | 0.413818 | ../../result/log/zipf_1_17 | 0.01 | 1 |
0.1
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5851791 | 0.209897 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| Zipf Optimal Distribution | 8925674 | 0.211925 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| Offline Clock 1st iteration | 10272630 | 0.213852 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 10141557 | 0.214113 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.7] | 7144703 | 0.216462 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 7212567 | 0.217055 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | 7890041 | 0.219254 | ../../result/log/zipf_1_17 | 0.1 | 1 |
0.2
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5680729 | 0.147336 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| Zipf Optimal Distribution | 8498188 | 0.150231 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| Offline Clock 1st iteration | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 10002880 | 0.152785 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 10002145 | 0.152786 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 9589724 | 0.153449 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.7] | 7018075 | 0.154471 | ../../result/log/zipf_1_17 | 0.2 | 1 |
0.4
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5224778 | 0.0827112 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| Zipf Optimal Distribution | 7661751 | 0.0867151 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| Offline Clock 1st iteration | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 9240697 | 0.0897079 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 8400569 | 0.090626 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.7] | 6567879 | 0.0906525 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 8346174 | 0.0906931 | ../../result/log/zipf_1_17 | 0.4 | 1 |
zipf_1_18
Ignore Obj Size
0.01
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 6046061 | 0.40372 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| Zipf Optimal Distribution | 9518058 | 0.404413 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| Offline Clock 1st iteration | 10439737 | 0.4052 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 10438585 | 0.405205 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 6644967 | 0.409265 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.7] | 7447352 | 0.409313 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | 8243229 | 0.413757 | ../../result/log/zipf_1_18 | 0.01 | 1 |
0.1
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5852167 | 0.209865 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| Zipf Optimal Distribution | 8924501 | 0.211883 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| Offline Clock 1st iteration | 10268394 | 0.213821 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 10137363 | 0.214076 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.7] | 7145387 | 0.216423 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 7214951 | 0.216993 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | 7887789 | 0.219208 | ../../result/log/zipf_1_18 | 0.1 | 1 |
0.2
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5677502 | 0.147262 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| Zipf Optimal Distribution | 8501025 | 0.150135 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| Offline Clock 1st iteration | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 10001082 | 0.152706 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 10000400 | 0.152708 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 9586153 | 0.153375 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.7] | 7019488 | 0.154386 | ../../result/log/zipf_1_18 | 0.2 | 1 |
0.4
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5223361 | 0.0826611 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| Zipf Optimal Distribution | 7661309 | 0.0866641 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| Offline Clock 1st iteration | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 9239322 | 0.0896548 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 8394273 | 0.0905789 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.7] | 6559302 | 0.0906081 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 8339582 | 0.0906492 | ../../result/log/zipf_1_18 | 0.4 | 1 |
zipf_1_19
Ignore Obj Size
0.01
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 6047379 | 0.403776 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| Zipf Optimal Distribution | 9518278 | 0.404475 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.7] | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| Offline Clock 1st iteration | 10442800 | 0.405256 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.7] | 10441576 | 0.405263 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.7] | 6643912 | 0.409333 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.7] | 7447270 | 0.409369 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.7] | 8244858 | 0.413813 | ../../result/log/zipf_1_19 | 0.01 | 1 |
0.1
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5852464 | 0.209927 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| Zipf Optimal Distribution | 8923837 | 0.21197 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.7] | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| Offline Clock 1st iteration | 10270642 | 0.213882 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.7] | 10141980 | 0.214132 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7[cache_size=0.1,treshold=0.7] | 7146054 | 0.216485 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.7] | 7213949 | 0.217073 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.7] | 7889703 | 0.219279 | ../../result/log/zipf_1_19 | 0.1 | 1 |
0.2
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5678610 | 0.147359 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| Zipf Optimal Distribution | 8501803 | 0.150225 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.7] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| Offline Clock 1st iteration | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.7] | 10003476 | 0.152791 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.7] | 10002848 | 0.152793 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.7] | 9590329 | 0.153458 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7[cache_size=0.2,treshold=0.7] | 7018961 | 0.154486 | ../../result/log/zipf_1_19 | 0.2 | 1 |
0.4
| Model | Promotion | Miss Ratio | Trace | Cache Size | Ignore Obj Size |
|---|
| Offline Clock 2nd iteration | 5227240 | 0.0827181 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| Zipf Optimal Distribution | 7662557 | 0.0867323 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.7] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| Offline Clock 1st iteration | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.7] | 9241538 | 0.0897029 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.7] | 8402875 | 0.0906213 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7[cache_size=0.4,treshold=0.7] | 6570572 | 0.0906615 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.7] | 8347871 | 0.0906953 | ../../result/log/zipf_1_19 | 0.4 | 1 |