Zipf1 Selected Non-Decay vs Decay Model with Treshold 0.3 Test Data Result Obj Size Ignored
Result
Model Summaries
| Model | Better than base % of the times |
|---|
| LR_7[cache_size=0.01,treshold=0.3] | 0 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | 0 |
| LR_7[cache_size=0.1,treshold=0.3] | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | 0 |
| LR_7[cache_size=0.2,treshold=0.3] | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | 0 |
| LR_7[cache_size=0.4,treshold=0.3] | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | 0 |
| Offline Clock 1st iteration | 0 |
| Offline Clock 2nd iteration | 100 |
| Zipf Optimal Distribution | 100 |
| Model | Max | Min | Avg | Mdn |
|---|
| LR_7[cache_size=0.01,treshold=0.3] | 72.9112 | 72.8872 | 72.9017 | 72.9019 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | 67.8282 | 67.7813 | 67.7968 | 67.7885 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 85.2614 | 85.2307 | 85.2454 | 85.2447 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | 83.1648 | 83.1519 | 83.1572 | 83.1548 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | 88.7381 | 88.7268 | 88.7324 | 88.7316 |
| LR_7[cache_size=0.1,treshold=0.3] | 73.4806 | 73.4522 | 73.4674 | 73.4736 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 75.7924 | 75.7577 | 75.78 | 75.7855 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 83.629 | 83.5877 | 83.6089 | 83.6057 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | 78.3511 | 78.3288 | 78.3419 | 78.341 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | 98.1198 | 98.1126 | 98.1156 | 98.1159 |
| LR_7[cache_size=0.2,treshold=0.3] | 73.8603 | 73.8424 | 73.8544 | 73.856 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 81.2642 | 81.246 | 81.2538 | 81.2525 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 82.5892 | 82.5715 | 82.5787 | 82.5759 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | 79.7827 | 79.773 | 79.7775 | 79.7776 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | 98.985 | 98.9794 | 98.9816 | 98.9811 |
| LR_7[cache_size=0.4,treshold=0.3] | 74.2504 | 74.2035 | 74.2236 | 74.2211 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6364 | 80.5942 | 80.6168 | 80.6126 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4395 | 80.4036 | 80.4236 | 80.4182 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | 86.2779 | 86.2688 | 86.2733 | 86.2719 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | 99.6132 | 99.606 | 99.6094 | 99.6089 |
| Offline Clock 1st iteration | 0 | 0 | 0 | 0 |
| Offline Clock 2nd iteration | 43.4673 | 41.4753 | 42.6567 | 43.0175 |
| Zipf Optimal Distribution | 17.0869 | 6.59027 | 12.1282 | 13.1121 |
Miss Ratio Reduced (%)
| Model | Max | Min | Avg | Mdn |
|---|
| LR_7[cache_size=0.01,treshold=0.3] | -5.65544 | -5.67042 | -5.65936 | -5.65663 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.3] | -4.58077 | -4.59878 | -4.58505 | -4.58171 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | -8.4021 | -8.41912 | -8.40882 | -8.40943 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | -7.43061 | -7.44472 | -7.43415 | -7.43189 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | -8.89485 | -8.90928 | -8.89904 | -8.89709 |
| LR_7[cache_size=0.1,treshold=0.3] | -8.14738 | -8.16586 | -8.15211 | -8.14887 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | -8.5622 | -8.57836 | -8.56731 | -8.56651 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | -12.6236 | -12.6359 | -12.6307 | -12.6318 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | -9.71045 | -9.73169 | -9.71782 | -9.71514 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | -16.8055 | -16.8289 | -16.814 | -16.8116 |
| LR_7[cache_size=0.2,treshold=0.3] | -9.1235 | -9.12733 | -9.12527 | -9.12554 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | -12.5516 | -12.561 | -12.555 | -12.5537 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | -14.5905 | -14.6003 | -14.597 | -14.598 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | -12.64 | -12.6507 | -12.6458 | -12.6465 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | -20.7329 | -20.747 | -20.7376 | -20.7363 |
| LR_7[cache_size=0.4,treshold=0.3] | -9.49325 | -9.54149 | -9.51692 | -9.51555 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | -16.3829 | -16.4379 | -16.4154 | -16.4254 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | -16.3261 | -16.3777 | -16.3581 | -16.3686 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | -18.2884 | -18.3529 | -18.3273 | -18.3383 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | -26.3892 | -26.4608 | -26.4262 | -26.4192 |
| 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=0.3] | 67.7968 | -4.58505 |
| LR_7[cache_size=0.01,treshold=0.3] | 72.9017 | -5.65936 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | 83.1572 | -7.43415 |
| LR_7[cache_size=0.1,treshold=0.3] | 73.4674 | -8.15211 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 85.2454 | -8.40882 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 75.78 | -8.56731 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | 88.7324 | -8.89904 |
| LR_7[cache_size=0.2,treshold=0.3] | 73.8544 | -9.12527 |
| LR_7[cache_size=0.4,treshold=0.3] | 74.2236 | -9.51692 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | 78.3419 | -9.71782 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 81.2538 | -12.555 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 83.6089 | -12.6307 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | 79.7775 | -12.6458 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 82.5787 | -14.597 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4236 | -16.3581 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6168 | -16.4154 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | 98.1156 | -16.814 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | 86.2733 | -18.3273 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | 98.9816 | -20.7376 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | 99.6094 | -26.4262 |
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=0.3] | 67.7968 | -4.58505 |
| LR_7[cache_size=0.01,treshold=0.3] | 72.9017 | -5.65936 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | 83.1572 | -7.43415 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 85.2454 | -8.40882 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | 88.7324 | -8.89904 |
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=0.3] | 73.4674 | -8.15211 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 75.78 | -8.56731 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | 78.3419 | -9.71782 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 83.6089 | -12.6307 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | 98.1156 | -16.814 |
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=0.3] | 73.8544 | -9.12527 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 81.2538 | -12.555 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | 79.7775 | -12.6458 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 82.5787 | -14.597 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | 98.9816 | -20.7376 |
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=0.3] | 74.2236 | -9.51692 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4236 | -16.3581 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6168 | -16.4154 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | 86.2733 | -18.3273 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | 99.6094 | -26.4262 |
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=0.3] | 67.7885 | -4.58171 |
| LR_7[cache_size=0.01,treshold=0.3] | 72.9019 | -5.65663 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | 83.1548 | -7.43189 |
| LR_7[cache_size=0.1,treshold=0.3] | 73.4736 | -8.14887 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 85.2447 | -8.40943 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 75.7855 | -8.56651 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | 88.7316 | -8.89709 |
| LR_7[cache_size=0.2,treshold=0.3] | 73.856 | -9.12554 |
| LR_7[cache_size=0.4,treshold=0.3] | 74.2211 | -9.51555 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | 78.341 | -9.71514 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 81.2525 | -12.5537 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 83.6057 | -12.6318 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | 79.7776 | -12.6465 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 82.5759 | -14.598 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4182 | -16.3686 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6126 | -16.4254 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | 98.1159 | -16.8116 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | 86.2719 | -18.3383 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | 98.9811 | -20.7363 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | 99.6089 | -26.4192 |
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=0.3] | 67.7885 | -4.58171 |
| LR_7[cache_size=0.01,treshold=0.3] | 72.9019 | -5.65663 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | 83.1548 | -7.43189 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 85.2447 | -8.40943 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | 88.7316 | -8.89709 |
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=0.3] | 73.4736 | -8.14887 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 75.7855 | -8.56651 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | 78.341 | -9.71514 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 83.6057 | -12.6318 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | 98.1159 | -16.8116 |
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=0.3] | 73.856 | -9.12554 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 81.2525 | -12.5537 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | 79.7776 | -12.6465 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 82.5759 | -14.598 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | 98.9811 | -20.7363 |
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=0.3] | 74.2211 | -9.51555 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 80.4182 | -16.3686 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 80.6126 | -16.4254 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | 86.2719 | -18.3383 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | 99.6089 | -26.4192 |
Model Classification Report
LR_7
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.92 0.47 0.62 28055468
1 0.58 0.95 0.72 21729815
accuracy 0.68 49785283
macro avg 0.75 0.71 0.67 49785283
weighted avg 0.77 0.68 0.66 49785283
Accuracy: 0.6755959587494963
0-1%
precision recall f1-score support
0 0.92 0.47 0.62 27764588
1 0.52 0.93 0.67 17098553
accuracy 0.65 44863141
macro avg 0.72 0.70 0.64 44863141
weighted avg 0.77 0.65 0.64 44863141
Accuracy: 0.6464878150194611
1-10%
precision recall f1-score support
0 0.00 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.47 0.50 0.48 4452351
weighted avg 0.87 0.94 0.90 4452351
Accuracy: 0.9354129986607076
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.92 0.48 0.63 26119367
1 0.60 0.95 0.73 21615229
accuracy 0.69 47734596
macro avg 0.76 0.71 0.68 47734596
weighted avg 0.77 0.69 0.68 47734596
Accuracy: 0.6900191844087252
0-1%
precision recall f1-score support
0 0.97 0.82 0.89 12053010
1 0.08 0.40 0.14 508421
accuracy 0.80 12561431
macro avg 0.53 0.61 0.51 12561431
weighted avg 0.93 0.80 0.86 12561431
Accuracy: 0.7982386720111745
1-10%
precision recall f1-score support
0 0.76 0.20 0.31 13368467
1 0.56 0.94 0.70 14466820
accuracy 0.59 27835287
macro avg 0.66 0.57 0.51 27835287
weighted avg 0.66 0.59 0.52 27835287
Accuracy: 0.5850499763124412
10-20%
precision recall f1-score support
0 0.28 0.01 0.02 503365
1 0.87 1.00 0.93 3387274
accuracy 0.87 3890639
macro avg 0.57 0.50 0.47 3890639
weighted avg 0.79 0.87 0.81 3890639
Accuracy: 0.8686038463090511
20-40%
precision recall f1-score support
0 0.24 0.01 0.02 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.58 0.50 0.49 2117913
weighted avg 0.88 0.93 0.90 2117913
Accuracy: 0.9285036731914862
40-80%
precision recall f1-score support
0 0.21 0.02 0.03 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.59 0.51 0.51 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.960486302949195
80-90%
precision recall f1-score support
0 0.22 0.03 0.05 3093
1 0.98 1.00 0.99 120943
accuracy 0.97 124036
macro avg 0.60 0.51 0.52 124036
weighted avg 0.96 0.97 0.96 124036
Accuracy: 0.9732980747524912
90-100%
precision recall f1-score support
0 0.22 0.03 0.05 2328
1 0.98 1.00 0.99 97067
accuracy 0.97 99395
macro avg 0.60 0.51 0.52 99395
weighted avg 0.96 0.97 0.97 99395
Accuracy: 0.9748780119724332
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.92 0.48 0.63 24893266
1 0.60 0.95 0.74 20563095
accuracy 0.69 45456361
macro avg 0.76 0.71 0.68 45456361
weighted avg 0.77 0.69 0.68 45456361
Accuracy: 0.6928762951350197
0-1%
precision recall f1-score support
0 1.00 0.95 0.98 4873589
1 0.00 0.18 0.01 3872
accuracy 0.95 4877461
macro avg 0.50 0.56 0.49 4877461
weighted avg 1.00 0.95 0.97 4877461
Accuracy: 0.9516461536032784
1-10%
precision recall f1-score support
0 0.88 0.43 0.58 16949103
1 0.42 0.88 0.57 8016772
accuracy 0.57 24965875
macro avg 0.65 0.66 0.57 24965875
weighted avg 0.73 0.57 0.58 24965875
Accuracy: 0.574837413068839
10-20%
precision recall f1-score support
0 0.45 0.03 0.05 2057494
1 0.73 0.99 0.84 5461156
accuracy 0.72 7518650
macro avg 0.59 0.51 0.44 7518650
weighted avg 0.65 0.72 0.62 7518650
Accuracy: 0.7249309383998457
20-40%
precision recall f1-score support
0 0.32 0.02 0.04 744974
1 0.85 0.99 0.91 4060539
accuracy 0.84 4805513
macro avg 0.58 0.51 0.48 4805513
weighted avg 0.76 0.84 0.78 4805513
Accuracy: 0.8415238914138824
40-80%
precision recall f1-score support
0 0.26 0.02 0.04 235909
1 0.91 0.99 0.95 2483775
accuracy 0.91 2719684
macro avg 0.59 0.51 0.50 2719684
weighted avg 0.86 0.91 0.87 2719684
Accuracy: 0.9094703649394562
80-90%
precision recall f1-score support
0 0.23 0.03 0.05 18577
1 0.94 0.99 0.97 296772
accuracy 0.94 315349
macro avg 0.59 0.51 0.51 315349
weighted avg 0.90 0.94 0.91 315349
Accuracy: 0.9372821857687832
90-100%
precision recall f1-score support
0 0.22 0.03 0.05 13620
1 0.95 0.99 0.97 240209
accuracy 0.94 253829
macro avg 0.58 0.51 0.51 253829
weighted avg 0.91 0.94 0.92 253829
Accuracy: 0.9423667114474705
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.92 0.50 0.64 22531902
1 0.58 0.95 0.72 16938696
accuracy 0.69 39470598
macro avg 0.75 0.72 0.68 39470598
weighted avg 0.78 0.69 0.68 39470598
Accuracy: 0.6886409980411242
0-1%
precision recall f1-score support
0 1.00 1.00 1.00 1549999
1 0.00 0.00 0.00 0
accuracy 1.00 1549999
macro avg 0.50 0.50 0.50 1549999
weighted avg 1.00 1.00 1.00 1549999
Accuracy: 0.9999606451359001
1-10%
precision recall f1-score support
0 0.95 0.74 0.83 11439888
1 0.22 0.67 0.33 1271288
accuracy 0.73 12711176
macro avg 0.59 0.70 0.58 12711176
weighted avg 0.88 0.73 0.78 12711176
Accuracy: 0.7289276775020659
10-20%
precision recall f1-score support
0 0.78 0.19 0.30 5044441
1 0.46 0.93 0.62 3812372
accuracy 0.51 8856813
macro avg 0.62 0.56 0.46 8856813
weighted avg 0.65 0.51 0.44 8856813
Accuracy: 0.5069134913427663
20-40%
precision recall f1-score support
0 0.59 0.06 0.12 2995598
1 0.66 0.98 0.79 5583215
accuracy 0.66 8578813
macro avg 0.62 0.52 0.45 8578813
weighted avg 0.63 0.66 0.55 8578813
Accuracy: 0.6575001693124678
40-80%
precision recall f1-score support
0 0.41 0.05 0.08 1295061
1 0.80 0.98 0.88 5001564
accuracy 0.79 6296625
macro avg 0.60 0.51 0.48 6296625
weighted avg 0.72 0.79 0.72 6296625
Accuracy: 0.7901185158715979
80-90%
precision recall f1-score support
0 0.33 0.05 0.08 117971
1 0.86 0.98 0.92 692761
accuracy 0.85 810732
macro avg 0.60 0.51 0.50 810732
weighted avg 0.78 0.85 0.80 810732
Accuracy: 0.8478683461365778
90-100%
precision recall f1-score support
0 0.32 0.05 0.08 88944
1 0.87 0.98 0.92 577496
accuracy 0.86 666440
macro avg 0.60 0.52 0.50 666440
weighted avg 0.80 0.86 0.81 666440
Accuracy: 0.859676790108637
LR_7_decay_rtime
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.93 0.55 0.69 28055468
1 0.62 0.95 0.75 21729815
accuracy 0.73 49785283
macro avg 0.78 0.75 0.72 49785283
weighted avg 0.80 0.73 0.72 49785283
Accuracy: 0.7257623703776074
0-1%
precision recall f1-score support
0 0.93 0.56 0.70 27764588
1 0.57 0.93 0.70 17098553
accuracy 0.70 44863141
macro avg 0.75 0.75 0.70 44863141
weighted avg 0.79 0.70 0.70 44863141
Accuracy: 0.7021582149141096
1-10%
precision recall f1-score support
0 0.00 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.47 0.50 0.48 4452351
weighted avg 0.87 0.94 0.90 4452351
Accuracy: 0.9354129986607076
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.93 0.49 0.64 26119367
1 0.61 0.95 0.74 21615229
accuracy 0.70 47734596
macro avg 0.77 0.72 0.69 47734596
weighted avg 0.78 0.70 0.69 47734596
Accuracy: 0.7020437336476043
0-1%
precision recall f1-score support
0 0.98 0.88 0.92 12053010
1 0.15 0.51 0.23 508421
accuracy 0.86 12561431
macro avg 0.56 0.69 0.58 12561431
weighted avg 0.94 0.86 0.90 12561431
Accuracy: 0.8613169948551244
1-10%
precision recall f1-score support
0 0.76 0.17 0.28 13368467
1 0.55 0.95 0.70 14466820
accuracy 0.58 27835287
macro avg 0.66 0.56 0.49 27835287
weighted avg 0.65 0.58 0.50 27835287
Accuracy: 0.5768599404058596
10-20%
precision recall f1-score support
0 0.19 0.00 0.00 503365
1 0.87 1.00 0.93 3387274
accuracy 0.87 3890639
macro avg 0.53 0.50 0.47 3890639
weighted avg 0.78 0.87 0.81 3890639
Accuracy: 0.8696427502011881
20-40%
precision recall f1-score support
0 0.09 0.00 0.00 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.51 0.50 0.48 2117913
weighted avg 0.87 0.93 0.90 2117913
Accuracy: 0.9300230934887316
40-80%
precision recall f1-score support
0 0.04 0.00 0.00 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.50 0.50 0.49 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.96225952735115
80-90%
precision recall f1-score support
0 0.25 0.00 0.00 3093
1 0.98 1.00 0.99 120943
accuracy 0.98 124036
macro avg 0.61 0.50 0.49 124036
weighted avg 0.96 0.98 0.96 124036
Accuracy: 0.9750475668354349
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.98 99395
macro avg 0.49 0.50 0.49 99395
weighted avg 0.95 0.98 0.96 99395
Accuracy: 0.9765581769706726
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.91 0.37 0.53 24893266
1 0.56 0.96 0.70 20563095
accuracy 0.64 45456361
macro avg 0.74 0.67 0.62 45456361
weighted avg 0.75 0.64 0.61 45456361
Accuracy: 0.6376305397609808
0-1%
precision recall f1-score support
0 1.00 0.92 0.96 4873589
1 0.01 0.77 0.02 3872
accuracy 0.92 4877461
macro avg 0.50 0.84 0.49 4877461
weighted avg 1.00 0.92 0.96 4877461
Accuracy: 0.9202958260455594
1-10%
precision recall f1-score support
0 0.89 0.28 0.42 16949103
1 0.38 0.93 0.54 8016772
accuracy 0.49 24965875
macro avg 0.64 0.60 0.48 24965875
weighted avg 0.73 0.49 0.46 24965875
Accuracy: 0.4858217867388986
10-20%
precision recall f1-score support
0 0.41 0.06 0.11 2057494
1 0.73 0.97 0.83 5461156
accuracy 0.72 7518650
macro avg 0.57 0.51 0.47 7518650
weighted avg 0.64 0.72 0.63 7518650
Accuracy: 0.7185424245043991
20-40%
precision recall f1-score support
0 0.24 0.04 0.07 744974
1 0.85 0.98 0.91 4060539
accuracy 0.83 4805513
macro avg 0.54 0.51 0.49 4805513
weighted avg 0.75 0.83 0.78 4805513
Accuracy: 0.8308603056531113
40-80%
precision recall f1-score support
0 0.13 0.03 0.05 235909
1 0.91 0.98 0.95 2483775
accuracy 0.90 2719684
macro avg 0.52 0.51 0.50 2719684
weighted avg 0.85 0.90 0.87 2719684
Accuracy: 0.8982889188596911
80-90%
precision recall f1-score support
0 0.09 0.03 0.04 18577
1 0.94 0.98 0.96 296772
accuracy 0.93 315349
macro avg 0.52 0.51 0.50 315349
weighted avg 0.89 0.93 0.91 315349
Accuracy: 0.9262023979781131
90-100%
precision recall f1-score support
0 0.07 0.02 0.04 13620
1 0.95 0.98 0.96 240209
accuracy 0.93 253829
macro avg 0.51 0.50 0.50 253829
weighted avg 0.90 0.93 0.91 253829
Accuracy: 0.9312292921612582
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.85 0.36 0.51 22531902
1 0.52 0.92 0.66 16938696
accuracy 0.60 39470598
macro avg 0.69 0.64 0.59 39470598
weighted avg 0.71 0.60 0.58 39470598
Accuracy: 0.6008507142455759
0-1%
precision recall f1-score support
0 1.00 0.97 0.98 1549999
1 0.00 0.00 0.00 0
accuracy 0.97 1549999
macro avg 0.50 0.48 0.49 1549999
weighted avg 1.00 0.97 0.98 1549999
Accuracy: 0.9673580434568022
1-10%
precision recall f1-score support
0 0.97 0.42 0.59 11439888
1 0.15 0.90 0.25 1271288
accuracy 0.47 12711176
macro avg 0.56 0.66 0.42 12711176
weighted avg 0.89 0.47 0.56 12711176
Accuracy: 0.47111714919217546
10-20%
precision recall f1-score support
0 0.76 0.21 0.33 5044441
1 0.47 0.91 0.62 3812372
accuracy 0.51 8856813
macro avg 0.62 0.56 0.47 8856813
weighted avg 0.64 0.51 0.45 8856813
Accuracy: 0.5128106464481073
20-40%
precision recall f1-score support
0 0.54 0.18 0.27 2995598
1 0.68 0.92 0.78 5583215
accuracy 0.66 8578813
macro avg 0.61 0.55 0.52 8578813
weighted avg 0.63 0.66 0.60 8578813
Accuracy: 0.6608438719902159
40-80%
precision recall f1-score support
0 0.35 0.17 0.23 1295061
1 0.81 0.92 0.86 5001564
accuracy 0.76 6296625
macro avg 0.58 0.54 0.54 6296625
weighted avg 0.72 0.76 0.73 6296625
Accuracy: 0.7649380422051496
80-90%
precision recall f1-score support
0 0.26 0.17 0.20 117971
1 0.87 0.92 0.89 692761
accuracy 0.81 810732
macro avg 0.56 0.54 0.55 810732
weighted avg 0.78 0.81 0.79 810732
Accuracy: 0.8088135166738207
90-100%
precision recall f1-score support
0 0.24 0.17 0.20 88944
1 0.88 0.92 0.90 577496
accuracy 0.82 666440
macro avg 0.56 0.54 0.55 666440
weighted avg 0.79 0.82 0.80 666440
Accuracy: 0.8173233899525839
LR_7_decay_vtime
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.83 0.25 0.38 28055468
1 0.49 0.94 0.64 21729815
accuracy 0.55 49785283
macro avg 0.66 0.59 0.51 49785283
weighted avg 0.68 0.55 0.50 49785283
Accuracy: 0.5474596579073377
0-1%
precision recall f1-score support
0 0.86 0.25 0.39 27764588
1 0.43 0.94 0.59 17098553
accuracy 0.51 44863141
macro avg 0.65 0.59 0.49 44863141
weighted avg 0.70 0.51 0.46 44863141
Accuracy: 0.5101256730998839
1-10%
precision recall f1-score support
0 0.08 0.07 0.08 287564
1 0.94 0.94 0.94 4164787
accuracy 0.88 4452351
macro avg 0.51 0.51 0.51 4452351
weighted avg 0.88 0.88 0.88 4452351
Accuracy: 0.8830903044256844
10-20%
precision recall f1-score support
0 0.01 0.07 0.02 2455
1 0.99 0.94 0.96 257616
accuracy 0.93 260071
macro avg 0.50 0.50 0.49 260071
weighted avg 0.98 0.93 0.95 260071
Accuracy: 0.9295000211480711
20-40%
precision recall f1-score support
0 0.01 0.07 0.01 659
1 1.00 0.94 0.97 130568
accuracy 0.93 131227
macro avg 0.50 0.51 0.49 131227
weighted avg 0.99 0.93 0.96 131227
Accuracy: 0.9348457253461558
40-80%
precision recall f1-score support
0 0.00 0.08 0.01 169
1 1.00 0.94 0.97 65234
accuracy 0.93 65403
macro avg 0.50 0.51 0.49 65403
weighted avg 0.99 0.93 0.96 65403
Accuracy: 0.9344066785927251
80-90%
precision recall f1-score support
0 0.00 0.07 0.00 15
1 1.00 0.94 0.97 7371
accuracy 0.93 7386
macro avg 0.50 0.50 0.49 7386
weighted avg 1.00 0.93 0.96 7386
Accuracy: 0.934470620092066
90-100%
precision recall f1-score support
0 0.00 0.06 0.01 18
1 1.00 0.94 0.97 5686
accuracy 0.94 5704
macro avg 0.50 0.50 0.49 5704
weighted avg 0.99 0.94 0.96 5704
Accuracy: 0.9358345021037868
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.83 0.28 0.42 26119367
1 0.52 0.93 0.66 21615229
accuracy 0.58 47734596
macro avg 0.67 0.61 0.54 47734596
weighted avg 0.69 0.58 0.53 47734596
Accuracy: 0.5754493449572716
0-1%
precision recall f1-score support
0 0.99 0.45 0.62 12053010
1 0.07 0.90 0.12 508421
accuracy 0.47 12561431
macro avg 0.53 0.68 0.37 12561431
weighted avg 0.95 0.47 0.60 12561431
Accuracy: 0.46967403634187854
1-10%
precision recall f1-score support
0 0.65 0.14 0.23 13368467
1 0.54 0.93 0.68 14466820
accuracy 0.55 27835287
macro avg 0.59 0.54 0.46 27835287
weighted avg 0.59 0.55 0.47 27835287
Accuracy: 0.5508712735744381
10-20%
precision recall f1-score support
0 0.18 0.11 0.13 503365
1 0.87 0.93 0.90 3387274
accuracy 0.82 3890639
macro avg 0.53 0.52 0.52 3890639
weighted avg 0.79 0.82 0.80 3890639
Accuracy: 0.8223826471692697
20-40%
precision recall f1-score support
0 0.10 0.11 0.10 147488
1 0.93 0.93 0.93 1970425
accuracy 0.87 2117913
macro avg 0.52 0.52 0.52 2117913
weighted avg 0.87 0.87 0.87 2117913
Accuracy: 0.870333200655551
40-80%
precision recall f1-score support
0 0.06 0.11 0.08 41616
1 0.96 0.93 0.94 1064279
accuracy 0.90 1105895
macro avg 0.51 0.52 0.51 1105895
weighted avg 0.93 0.90 0.91 1105895
Accuracy: 0.8953264098309514
80-90%
precision recall f1-score support
0 0.04 0.13 0.06 3093
1 0.98 0.92 0.95 120943
accuracy 0.90 124036
macro avg 0.51 0.53 0.51 124036
weighted avg 0.95 0.90 0.93 124036
Accuracy: 0.9049227643587345
90-100%
precision recall f1-score support
0 0.04 0.12 0.06 2328
1 0.98 0.93 0.95 97067
accuracy 0.91 99395
macro avg 0.51 0.52 0.50 99395
weighted avg 0.96 0.91 0.93 99395
Accuracy: 0.9068866643191308
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.83 0.31 0.45 24893266
1 0.53 0.92 0.67 20563095
accuracy 0.59 45456361
macro avg 0.68 0.62 0.56 45456361
weighted avg 0.69 0.59 0.55 45456361
Accuracy: 0.5884104537096579
0-1%
precision recall f1-score support
0 1.00 0.72 0.83 4873589
1 0.00 0.91 0.01 3872
accuracy 0.72 4877461
macro avg 0.50 0.81 0.42 4877461
weighted avg 1.00 0.72 0.83 4877461
Accuracy: 0.7162039839990519
1-10%
precision recall f1-score support
0 0.86 0.23 0.36 16949103
1 0.36 0.92 0.52 8016772
accuracy 0.45 24965875
macro avg 0.61 0.57 0.44 24965875
weighted avg 0.70 0.45 0.41 24965875
Accuracy: 0.45034692355064665
10-20%
precision recall f1-score support
0 0.40 0.13 0.20 2057494
1 0.74 0.93 0.82 5461156
accuracy 0.71 7518650
macro avg 0.57 0.53 0.51 7518650
weighted avg 0.65 0.71 0.65 7518650
Accuracy: 0.7092624340805863
20-40%
precision recall f1-score support
0 0.24 0.13 0.17 744974
1 0.85 0.93 0.89 4060539
accuracy 0.80 4805513
macro avg 0.55 0.53 0.53 4805513
weighted avg 0.76 0.80 0.78 4805513
Accuracy: 0.8019239569219769
40-80%
precision recall f1-score support
0 0.14 0.13 0.14 235909
1 0.92 0.92 0.92 2483775
accuracy 0.85 2719684
macro avg 0.53 0.53 0.53 2719684
weighted avg 0.85 0.85 0.85 2719684
Accuracy: 0.8548073967416803
80-90%
precision recall f1-score support
0 0.10 0.14 0.11 18577
1 0.94 0.92 0.93 296772
accuracy 0.88 315349
macro avg 0.52 0.53 0.52 315349
weighted avg 0.89 0.88 0.88 315349
Accuracy: 0.8753159198221653
90-100%
precision recall f1-score support
0 0.09 0.14 0.11 13620
1 0.95 0.92 0.94 240209
accuracy 0.88 253829
macro avg 0.52 0.53 0.52 253829
weighted avg 0.90 0.88 0.89 253829
Accuracy: 0.8795212524967596
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.85 0.37 0.51 22531902
1 0.52 0.92 0.66 16938696
accuracy 0.60 39470598
macro avg 0.69 0.64 0.59 39470598
weighted avg 0.71 0.60 0.58 39470598
Accuracy: 0.601860858556032
0-1%
precision recall f1-score support
0 1.00 0.97 0.98 1549999
1 0.00 0.00 0.00 0
accuracy 0.97 1549999
macro avg 0.50 0.48 0.49 1549999
weighted avg 1.00 0.97 0.98 1549999
Accuracy: 0.9667625592016511
1-10%
precision recall f1-score support
0 0.97 0.43 0.59 11439888
1 0.15 0.90 0.26 1271288
accuracy 0.47 12711176
macro avg 0.56 0.66 0.42 12711176
weighted avg 0.89 0.47 0.56 12711176
Accuracy: 0.4739205090071918
10-20%
precision recall f1-score support
0 0.76 0.21 0.33 5044441
1 0.47 0.91 0.62 3812372
accuracy 0.51 8856813
macro avg 0.62 0.56 0.47 8856813
weighted avg 0.64 0.51 0.46 8856813
Accuracy: 0.5138872187998098
20-40%
precision recall f1-score support
0 0.54 0.18 0.27 2995598
1 0.68 0.92 0.78 5583215
accuracy 0.66 8578813
macro avg 0.61 0.55 0.52 8578813
weighted avg 0.63 0.66 0.60 8578813
Accuracy: 0.6609046030027698
40-80%
precision recall f1-score support
0 0.35 0.17 0.23 1295061
1 0.81 0.92 0.86 5001564
accuracy 0.76 6296625
macro avg 0.58 0.54 0.55 6296625
weighted avg 0.72 0.76 0.73 6296625
Accuracy: 0.7643621781509936
80-90%
precision recall f1-score support
0 0.26 0.17 0.21 117971
1 0.87 0.92 0.89 692761
accuracy 0.81 810732
macro avg 0.56 0.54 0.55 810732
weighted avg 0.78 0.81 0.79 810732
Accuracy: 0.8079636674018048
90-100%
precision recall f1-score support
0 0.24 0.17 0.20 88944
1 0.88 0.92 0.90 577496
accuracy 0.82 666440
macro avg 0.56 0.54 0.55 666440
weighted avg 0.79 0.82 0.80 666440
Accuracy: 0.8164515935418042
LR_decay_rtime
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.96 0.29 0.45 28055468
1 0.52 0.98 0.68 21729815
accuracy 0.59 49785283
macro avg 0.74 0.64 0.56 49785283
weighted avg 0.77 0.59 0.55 49785283
Accuracy: 0.5934621683279374
0-1%
precision recall f1-score support
0 0.96 0.29 0.45 27764588
1 0.46 0.98 0.63 17098553
accuracy 0.56 44863141
macro avg 0.71 0.64 0.54 44863141
weighted avg 0.77 0.56 0.52 44863141
Accuracy: 0.5553687602925529
1-10%
precision recall f1-score support
0 0.10 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.52 0.50 0.48 4452351
weighted avg 0.88 0.94 0.90 4452351
Accuracy: 0.9351508899455591
10-20%
precision recall f1-score support
0 0.00 0.00 0.00 2455
1 0.99 1.00 1.00 257616
accuracy 0.99 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.99 0.99 260071
Accuracy: 0.9905602700800935
20-40%
precision recall f1-score support
0 0.00 0.00 0.00 659
1 0.99 1.00 1.00 130568
accuracy 0.99 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.99 0.99 131227
Accuracy: 0.9949781676027037
40-80%
precision recall f1-score support
0 0.00 0.00 0.00 169
1 1.00 1.00 1.00 65234
accuracy 1.00 65403
macro avg 0.50 0.50 0.50 65403
weighted avg 0.99 1.00 1.00 65403
Accuracy: 0.9974160206718347
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 1.00 1.00 7371
accuracy 1.00 7386
macro avg 0.50 0.50 0.50 7386
weighted avg 1.00 1.00 1.00 7386
Accuracy: 0.9979691307879772
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 1.00 1.00 5686
accuracy 1.00 5704
macro avg 0.50 0.50 0.50 5704
weighted avg 0.99 1.00 1.00 5704
Accuracy: 0.9968443197755961
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.93 0.42 0.57 26119367
1 0.58 0.96 0.72 21615229
accuracy 0.66 47734596
macro avg 0.75 0.69 0.65 47734596
weighted avg 0.77 0.66 0.64 47734596
Accuracy: 0.6623225427528495
0-1%
precision recall f1-score support
0 0.99 0.74 0.85 12053010
1 0.11 0.76 0.19 508421
accuracy 0.74 12561431
macro avg 0.55 0.75 0.52 12561431
weighted avg 0.95 0.74 0.82 12561431
Accuracy: 0.7413108426898177
1-10%
precision recall f1-score support
0 0.73 0.15 0.24 13368467
1 0.55 0.95 0.69 14466820
accuracy 0.56 27835287
macro avg 0.64 0.55 0.47 27835287
weighted avg 0.64 0.56 0.48 27835287
Accuracy: 0.5639647617069657
10-20%
precision recall f1-score support
0 0.18 0.01 0.03 503365
1 0.87 0.99 0.93 3387274
accuracy 0.86 3890639
macro avg 0.53 0.50 0.48 3890639
weighted avg 0.78 0.86 0.81 3890639
Accuracy: 0.8644286966742482
20-40%
precision recall f1-score support
0 0.10 0.01 0.01 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.52 0.50 0.49 2117913
weighted avg 0.87 0.93 0.90 2117913
Accuracy: 0.9266981221608253
40-80%
precision recall f1-score support
0 0.05 0.00 0.01 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.51 0.50 0.49 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9603958784513901
80-90%
precision recall f1-score support
0 0.04 0.00 0.01 3093
1 0.98 1.00 0.99 120943
accuracy 0.97 124036
macro avg 0.51 0.50 0.50 124036
weighted avg 0.95 0.97 0.96 124036
Accuracy: 0.9735318778419169
90-100%
precision recall f1-score support
0 0.02 0.00 0.00 2328
1 0.98 1.00 0.99 97067
accuracy 0.98 99395
macro avg 0.50 0.50 0.49 99395
weighted avg 0.95 0.98 0.96 99395
Accuracy: 0.9754716031993561
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.88 0.38 0.53 24893266
1 0.56 0.94 0.70 20563095
accuracy 0.63 45456361
macro avg 0.72 0.66 0.61 45456361
weighted avg 0.73 0.63 0.61 45456361
Accuracy: 0.6317128641247811
0-1%
precision recall f1-score support
0 1.00 0.90 0.95 4873589
1 0.01 0.79 0.01 3872
accuracy 0.90 4877461
macro avg 0.50 0.85 0.48 4877461
weighted avg 1.00 0.90 0.95 4877461
Accuracy: 0.9036908752320111
1-10%
precision recall f1-score support
0 0.88 0.28 0.43 16949103
1 0.38 0.92 0.53 8016772
accuracy 0.49 24965875
macro avg 0.63 0.60 0.48 24965875
weighted avg 0.72 0.49 0.46 24965875
Accuracy: 0.48618227881057646
10-20%
precision recall f1-score support
0 0.41 0.10 0.17 2057494
1 0.74 0.94 0.83 5461156
accuracy 0.71 7518650
macro avg 0.57 0.52 0.50 7518650
weighted avg 0.65 0.71 0.65 7518650
Accuracy: 0.7135812945143077
20-40%
precision recall f1-score support
0 0.25 0.09 0.14 744974
1 0.85 0.95 0.90 4060539
accuracy 0.81 4805513
macro avg 0.55 0.52 0.52 4805513
weighted avg 0.76 0.81 0.78 4805513
Accuracy: 0.8147342437737657
40-80%
precision recall f1-score support
0 0.15 0.10 0.12 235909
1 0.92 0.95 0.93 2483775
accuracy 0.87 2719684
macro avg 0.53 0.52 0.52 2719684
weighted avg 0.85 0.87 0.86 2719684
Accuracy: 0.8740386750813698
80-90%
precision recall f1-score support
0 0.11 0.10 0.10 18577
1 0.94 0.95 0.95 296772
accuracy 0.90 315349
macro avg 0.52 0.52 0.52 315349
weighted avg 0.89 0.90 0.90 315349
Accuracy: 0.8979353034257284
90-100%
precision recall f1-score support
0 0.10 0.10 0.10 13620
1 0.95 0.95 0.95 240209
accuracy 0.90 253829
macro avg 0.52 0.52 0.52 253829
weighted avg 0.90 0.90 0.90 253829
Accuracy: 0.9022964279101284
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.89 0.28 0.42 22531902
1 0.50 0.95 0.65 16938696
accuracy 0.57 39470598
macro avg 0.69 0.62 0.54 39470598
weighted avg 0.72 0.57 0.52 39470598
Accuracy: 0.5673319669491707
0-1%
precision recall f1-score support
0 1.00 0.96 0.98 1549999
1 0.00 0.00 0.00 0
accuracy 0.96 1549999
macro avg 0.50 0.48 0.49 1549999
weighted avg 1.00 0.96 0.98 1549999
Accuracy: 0.9625902984453538
1-10%
precision recall f1-score support
0 0.98 0.32 0.48 11439888
1 0.13 0.94 0.23 1271288
accuracy 0.38 12711176
macro avg 0.56 0.63 0.36 12711176
weighted avg 0.89 0.38 0.46 12711176
Accuracy: 0.38131381392248836
10-20%
precision recall f1-score support
0 0.77 0.13 0.22 5044441
1 0.45 0.95 0.61 3812372
accuracy 0.48 8856813
macro avg 0.61 0.54 0.41 8856813
weighted avg 0.63 0.48 0.39 8856813
Accuracy: 0.481217792449722
20-40%
precision recall f1-score support
0 0.56 0.10 0.17 2995598
1 0.67 0.96 0.78 5583215
accuracy 0.66 8578813
macro avg 0.61 0.53 0.48 8578813
weighted avg 0.63 0.66 0.57 8578813
Accuracy: 0.6583209122287664
40-80%
precision recall f1-score support
0 0.37 0.10 0.16 1295061
1 0.80 0.96 0.87 5001564
accuracy 0.78 6296625
macro avg 0.59 0.53 0.51 6296625
weighted avg 0.71 0.78 0.73 6296625
Accuracy: 0.7797791674111131
80-90%
precision recall f1-score support
0 0.28 0.10 0.15 117971
1 0.86 0.96 0.91 692761
accuracy 0.83 810732
macro avg 0.57 0.53 0.53 810732
weighted avg 0.78 0.83 0.80 810732
Accuracy: 0.8312216614121559
90-100%
precision recall f1-score support
0 0.25 0.10 0.14 88944
1 0.87 0.96 0.91 577496
accuracy 0.84 666440
macro avg 0.56 0.53 0.53 666440
weighted avg 0.79 0.84 0.81 666440
Accuracy: 0.840927915491267
LR_decay_vtime
0.01
Treshold: 0.3
All
precision recall f1-score support
0 0.86 0.20 0.32 28055468
1 0.48 0.96 0.64 21729815
accuracy 0.53 49785283
macro avg 0.67 0.58 0.48 49785283
weighted avg 0.70 0.53 0.46 49785283
Accuracy: 0.529126027063058
0-1%
precision recall f1-score support
0 0.89 0.20 0.32 27764588
1 0.42 0.96 0.59 17098553
accuracy 0.49 44863141
macro avg 0.66 0.58 0.46 44863141
weighted avg 0.71 0.49 0.42 44863141
Accuracy: 0.48753207003495364
1-10%
precision recall f1-score support
0 0.08 0.05 0.06 287564
1 0.94 0.96 0.95 4164787
accuracy 0.90 4452351
macro avg 0.51 0.50 0.50 4452351
weighted avg 0.88 0.90 0.89 4452351
Accuracy: 0.9032551566576849
10-20%
precision recall f1-score support
0 0.02 0.07 0.03 2455
1 0.99 0.96 0.98 257616
accuracy 0.95 260071
macro avg 0.50 0.51 0.50 260071
weighted avg 0.98 0.95 0.97 260071
Accuracy: 0.953128184226615
20-40%
precision recall f1-score support
0 0.01 0.08 0.02 659
1 1.00 0.96 0.98 130568
accuracy 0.96 131227
macro avg 0.50 0.52 0.50 131227
weighted avg 0.99 0.96 0.97 131227
Accuracy: 0.9576687724325025
40-80%
precision recall f1-score support
0 0.01 0.14 0.02 169
1 1.00 0.96 0.98 65234
accuracy 0.96 65403
macro avg 0.50 0.55 0.50 65403
weighted avg 1.00 0.96 0.98 65403
Accuracy: 0.9591456049416693
80-90%
precision recall f1-score support
0 0.01 0.13 0.01 15
1 1.00 0.96 0.98 7371
accuracy 0.96 7386
macro avg 0.50 0.55 0.50 7386
weighted avg 1.00 0.96 0.98 7386
Accuracy: 0.9611427024099648
90-100%
precision recall f1-score support
0 0.02 0.22 0.03 18
1 1.00 0.96 0.98 5686
accuracy 0.96 5704
macro avg 0.51 0.59 0.51 5704
weighted avg 0.99 0.96 0.98 5704
Accuracy: 0.960203366058906
0.1
Treshold: 0.3
All
precision recall f1-score support
0 0.92 0.04 0.07 26119367
1 0.46 1.00 0.63 21615229
accuracy 0.47 47734596
macro avg 0.69 0.52 0.35 47734596
weighted avg 0.71 0.47 0.32 47734596
Accuracy: 0.4712758436250304
0-1%
precision recall f1-score support
0 1.00 0.07 0.13 12053010
1 0.04 1.00 0.08 508421
accuracy 0.11 12561431
macro avg 0.52 0.53 0.11 12561431
weighted avg 0.96 0.11 0.13 12561431
Accuracy: 0.10621369492058667
1-10%
precision recall f1-score support
0 0.69 0.01 0.02 13368467
1 0.52 1.00 0.68 14466820
accuracy 0.52 27835287
macro avg 0.61 0.50 0.35 27835287
weighted avg 0.60 0.52 0.37 27835287
Accuracy: 0.5224117143106878
10-20%
precision recall f1-score support
0 0.27 0.01 0.02 503365
1 0.87 1.00 0.93 3387274
accuracy 0.87 3890639
macro avg 0.57 0.50 0.47 3890639
weighted avg 0.79 0.87 0.81 3890639
Accuracy: 0.8683434777680479
20-40%
precision recall f1-score support
0 0.20 0.01 0.03 147488
1 0.93 1.00 0.96 1970425
accuracy 0.93 2117913
macro avg 0.56 0.50 0.49 2117913
weighted avg 0.88 0.93 0.90 2117913
Accuracy: 0.9274205314382602
40-80%
precision recall f1-score support
0 0.16 0.02 0.04 41616
1 0.96 1.00 0.98 1064279
accuracy 0.96 1105895
macro avg 0.56 0.51 0.51 1105895
weighted avg 0.93 0.96 0.94 1105895
Accuracy: 0.9590566916388988
80-90%
precision recall f1-score support
0 0.16 0.03 0.05 3093
1 0.98 1.00 0.99 120943
accuracy 0.97 124036
macro avg 0.57 0.51 0.52 124036
weighted avg 0.96 0.97 0.96 124036
Accuracy: 0.9715808313715373
90-100%
precision recall f1-score support
0 0.16 0.03 0.05 2328
1 0.98 1.00 0.99 97067
accuracy 0.97 99395
macro avg 0.57 0.51 0.52 99395
weighted avg 0.96 0.97 0.96 99395
Accuracy: 0.9734091252075054
0.2
Treshold: 0.3
All
precision recall f1-score support
0 0.94 0.02 0.04 24893266
1 0.46 1.00 0.63 20563095
accuracy 0.46 45456361
macro avg 0.70 0.51 0.33 45456361
weighted avg 0.72 0.46 0.31 45456361
Accuracy: 0.4634114024217645
0-1%
precision recall f1-score support
0 1.00 0.08 0.15 4873589
1 0.00 1.00 0.00 3872
accuracy 0.08 4877461
macro avg 0.50 0.54 0.07 4877461
weighted avg 1.00 0.08 0.14 4877461
Accuracy: 0.07890129721180754
1-10%
precision recall f1-score support
0 0.90 0.01 0.02 16949103
1 0.32 1.00 0.49 8016772
accuracy 0.33 24965875
macro avg 0.61 0.50 0.25 24965875
weighted avg 0.72 0.33 0.17 24965875
Accuracy: 0.32577632468319256
10-20%
precision recall f1-score support
0 0.59 0.01 0.01 2057494
1 0.73 1.00 0.84 5461156
accuracy 0.73 7518650
macro avg 0.66 0.50 0.43 7518650
weighted avg 0.69 0.73 0.61 7518650
Accuracy: 0.7268287525021114
20-40%
precision recall f1-score support
0 0.52 0.01 0.02 744974
1 0.85 1.00 0.92 4060539
accuracy 0.85 4805513
macro avg 0.68 0.50 0.47 4805513
weighted avg 0.80 0.85 0.78 4805513
Accuracy: 0.8450872986921479
40-80%
precision recall f1-score support
0 0.52 0.01 0.03 235909
1 0.91 1.00 0.95 2483775
accuracy 0.91 2719684
macro avg 0.72 0.51 0.49 2719684
weighted avg 0.88 0.91 0.87 2719684
Accuracy: 0.9133406675187264
80-90%
precision recall f1-score support
0 0.52 0.02 0.04 18577
1 0.94 1.00 0.97 296772
accuracy 0.94 315349
macro avg 0.73 0.51 0.50 315349
weighted avg 0.92 0.94 0.91 315349
Accuracy: 0.9411953105923913
90-100%
precision recall f1-score support
0 0.50 0.02 0.04 13620
1 0.95 1.00 0.97 240209
accuracy 0.95 253829
macro avg 0.73 0.51 0.51 253829
weighted avg 0.92 0.95 0.92 253829
Accuracy: 0.9463654665148584
0.4
Treshold: 0.3
All
precision recall f1-score support
0 0.97 0.01 0.02 22531902
1 0.43 1.00 0.60 16938696
accuracy 0.43 39470598
macro avg 0.70 0.50 0.31 39470598
weighted avg 0.74 0.43 0.27 39470598
Accuracy: 0.43401949471350804
0-1%
precision recall f1-score support
0 1.00 0.08 0.15 1549999
1 0.00 0.00 0.00 0
accuracy 0.08 1549999
macro avg 0.50 0.04 0.07 1549999
weighted avg 1.00 0.08 0.15 1549999
Accuracy: 0.07853359905393488
1-10%
precision recall f1-score support
0 0.98 0.00 0.01 11439888
1 0.10 1.00 0.18 1271288
accuracy 0.10 12711176
macro avg 0.54 0.50 0.10 12711176
weighted avg 0.89 0.10 0.03 12711176
Accuracy: 0.10443384624679888
10-20%
precision recall f1-score support
0 0.82 0.00 0.00 5044441
1 0.43 1.00 0.60 3812372
accuracy 0.43 8856813
macro avg 0.62 0.50 0.30 8856813
weighted avg 0.65 0.43 0.26 8856813
Accuracy: 0.4313116919144618
20-40%
precision recall f1-score support
0 0.72 0.00 0.00 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 0.51 8578813
Accuracy: 0.6512376479123627
40-80%
precision recall f1-score support
0 0.74 0.00 0.01 1295061
1 0.79 1.00 0.89 5001564
accuracy 0.79 6296625
macro avg 0.77 0.50 0.45 6296625
weighted avg 0.78 0.79 0.70 6296625
Accuracy: 0.79471367597721
80-90%
precision recall f1-score support
0 0.81 0.00 0.01 117971
1 0.85 1.00 0.92 692761
accuracy 0.85 810732
macro avg 0.83 0.50 0.46 810732
weighted avg 0.85 0.85 0.79 810732
Accuracy: 0.8549459007415521
90-100%
precision recall f1-score support
0 0.78 0.00 0.01 88944
1 0.87 1.00 0.93 577496
accuracy 0.87 666440
macro avg 0.82 0.50 0.47 666440
weighted avg 0.86 0.87 0.81 666440
Accuracy: 0.8669437608786987
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=0.3] | 3359046 | 0.423806 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.3] | 2828327 | 0.428148 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | 1758243 | 0.435337 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 1538851 | 0.439285 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | 1175850 | 0.441271 | ../../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=0.3] | 2724487 | 0.231277 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 2487684 | 0.232159 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | 2224245 | 0.234625 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 1684624 | 0.24083 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | 193561 | 0.2498 | ../../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=0.3] | 2615867 | 0.166692 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 1875241 | 0.171937 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | 2022522 | 0.172074 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 1742919 | 0.175052 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | 101791 | 0.184441 | ../../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=0.3] | 2379947 | 0.0982632 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 1808268 | 0.104395 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 1790454 | 0.104446 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | 1267709 | 0.106156 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | 36115 | 0.113426 | ../../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=0.3] | 3362161 | 0.423915 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.3] | 2828400 | 0.428276 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | 1757198 | 0.435467 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 1541566 | 0.439412 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | 1176660 | 0.441402 | ../../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=0.3] | 2725154 | 0.231417 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 2487232 | 0.232314 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | 2224337 | 0.23477 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 1682058 | 0.241013 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | 193186 | 0.249944 | ../../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=0.3] | 2617153 | 0.16678 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 1876720 | 0.172025 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | 2024363 | 0.172162 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 1742907 | 0.175147 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | 101602 | 0.184524 | ../../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=0.3] | 2384344 | 0.0982657 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 1809921 | 0.104411 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 1791955 | 0.104464 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | 1269156 | 0.106185 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | 36416 | 0.113451 | ../../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=0.3] | 3363487 | 0.423809 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.3] | 2830461 | 0.428163 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | 1758568 | 0.435363 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 1540387 | 0.439321 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | 1176510 | 0.441305 | ../../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=0.3] | 2724954 | 0.231283 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 2488327 | 0.232164 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | 2224946 | 0.234618 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 1684121 | 0.240858 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | 193420 | 0.249806 | ../../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=0.3] | 2615194 | 0.166728 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 1874738 | 0.171965 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | 2022310 | 0.172107 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 1742041 | 0.175092 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | 102090 | 0.184467 | ../../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=0.3] | 2382153 | 0.0982441 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 1807629 | 0.1044 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 1789334 | 0.104454 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | 1268039 | 0.10616 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | 35743 | 0.113408 | ../../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=0.3] | 3362796 | 0.42377 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.3] | 2829302 | 0.428127 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | 1758895 | 0.435314 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 1539105 | 0.439275 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | 1176016 | 0.441251 | ../../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=0.3] | 2726028 | 0.231245 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 2486239 | 0.232138 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | 2224237 | 0.234594 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 1685281 | 0.240813 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | 193808 | 0.249767 | ../../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=0.3] | 2614507 | 0.166639 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 1875598 | 0.171873 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | 2022922 | 0.172008 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 1742595 | 0.174995 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | 101898 | 0.184375 | ../../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=0.3] | 2379087 | 0.0982092 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 1807260 | 0.10433 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 1789672 | 0.104381 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | 1267830 | 0.106096 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | 35928 | 0.113367 | ../../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=0.3] | 3362791 | 0.423821 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.3] | 2829026 | 0.428175 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.3] | 1759129 | 0.435369 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.3] | 1542115 | 0.439306 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_vtime[cache_size=0.01,treshold=0.3] | 1176733 | 0.441303 | ../../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=0.3] | 2726451 | 0.231308 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.3] | 2489838 | 0.232195 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.3] | 2225772 | 0.234666 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.3] | 1682358 | 0.240908 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_vtime[cache_size=0.1,treshold=0.3] | 193843 | 0.249839 | ../../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=0.3] | 2614883 | 0.166734 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.3] | 1874229 | 0.171972 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.3] | 2022841 | 0.172114 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.3] | 1743406 | 0.175084 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_vtime[cache_size=0.2,treshold=0.3] | 101988 | 0.184469 | ../../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=0.3] | 2382856 | 0.0982613 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.3] | 1811005 | 0.104394 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.3] | 1793392 | 0.104442 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.3] | 1268826 | 0.106166 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_vtime[cache_size=0.4,treshold=0.3] | 36230 | 0.113439 | ../../result/log/zipf_1_19 | 0.4 | 1 |