Zipf1 Selected Non-Decay vs Decay Model with Treshold 0.6 Test Data Result Obj Size Ignored
Result
Model Summaries
| Model | Better than base % of the times |
|---|
| LR_7[cache_size=0.01,treshold=0.6] | 0 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 0 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 0 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.6] | 0 |
| LR_7[cache_size=0.1,treshold=0.6] | 0 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 0 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 0 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.6] | 0 |
| LR_7[cache_size=0.2,treshold=0.6] | 0 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 0 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 0 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.6] | 0 |
| LR_7[cache_size=0.4,treshold=0.6] | 0 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 0 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 0 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.6] | 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=0.6] | 46.1366 | 46.1098 | 46.1229 | 46.1218 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 48.3661 | 48.3242 | 48.3463 | 48.3529 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 37.2107 | 37.1812 | 37.1935 | 37.195 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | 42.9958 | 42.9828 | 42.9889 | 42.9862 |
| LR_decay_vtime[cache_size=0.01,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.1,treshold=0.6] | 47.8454 | 47.7884 | 47.822 | 47.8263 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 53.9288 | 53.8688 | 53.9037 | 53.9124 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 38.7766 | 38.6998 | 38.7353 | 38.741 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | 47.6731 | 47.6203 | 47.6407 | 47.6343 |
| LR_decay_vtime[cache_size=0.1,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.2,treshold=0.6] | 47.7083 | 47.6877 | 47.7012 | 47.7035 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 56.4722 | 56.4611 | 56.4676 | 56.4672 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 39.6949 | 39.6482 | 39.6709 | 39.6686 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | 53.044 | 53.0295 | 53.0372 | 53.0391 |
| LR_decay_vtime[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.4,treshold=0.6] | 47.1282 | 47.0439 | 47.084 | 47.0885 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2799 | 41.1786 | 41.2212 | 41.2187 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 41.1381 | 41.0351 | 41.0759 | 41.0723 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | 56.4765 | 56.4193 | 56.4422 | 56.4435 |
| LR_decay_vtime[cache_size=0.4,treshold=0.6] | 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=0.6] | -2.43525 | -2.44784 | -2.44125 | -2.44002 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | -2.08708 | -2.09713 | -2.09183 | -2.0911 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | -2.8999 | -2.91011 | -2.90359 | -2.90345 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | -3.92616 | -3.93264 | -3.92944 | -3.92947 |
| LR_decay_vtime[cache_size=0.01,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.1,treshold=0.6] | -3.21156 | -3.22139 | -3.21605 | -3.21626 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | -3.89765 | -3.91643 | -3.90478 | -3.90363 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | -4.39381 | -4.41099 | -4.40228 | -4.40196 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | -4.97236 | -4.98943 | -4.98057 | -4.98172 |
| LR_decay_vtime[cache_size=0.1,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.2,treshold=0.6] | -3.21367 | -3.23579 | -3.22569 | -3.22357 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | -7.39834 | -7.41252 | -7.40403 | -7.40246 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | -5.09984 | -5.11987 | -5.11214 | -5.11221 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | -6.96432 | -6.97283 | -6.96822 | -6.966 |
| LR_decay_vtime[cache_size=0.2,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.4,treshold=0.6] | -2.91977 | -2.98173 | -2.9458 | -2.94612 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | -5.77502 | -5.81742 | -5.79959 | -5.80283 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | -5.75028 | -5.79121 | -5.77332 | -5.77653 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | -8.84845 | -8.89001 | -8.87027 | -8.87001 |
| LR_decay_vtime[cache_size=0.4,treshold=0.6] | 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 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_decay_vtime[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 48.3463 | -2.09183 |
| LR_7[cache_size=0.01,treshold=0.6] | 46.1229 | -2.44125 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 37.1935 | -2.90359 |
| LR_7[cache_size=0.4,treshold=0.6] | 47.084 | -2.9458 |
| LR_7[cache_size=0.1,treshold=0.6] | 47.822 | -3.21605 |
| LR_7[cache_size=0.2,treshold=0.6] | 47.7012 | -3.22569 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 53.9037 | -3.90478 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | 42.9889 | -3.92944 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 38.7353 | -4.40228 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | 47.6407 | -4.98057 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 39.6709 | -5.11214 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 41.0759 | -5.77332 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2212 | -5.79959 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | 53.0372 | -6.96822 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 56.4676 | -7.40403 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | 56.4422 | -8.87027 |
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=0.6] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 48.3463 | -2.09183 |
| LR_7[cache_size=0.01,treshold=0.6] | 46.1229 | -2.44125 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 37.1935 | -2.90359 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | 42.9889 | -3.92944 |
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=0.6] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_7[cache_size=0.1,treshold=0.6] | 47.822 | -3.21605 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 53.9037 | -3.90478 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 38.7353 | -4.40228 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | 47.6407 | -4.98057 |
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_vtime[cache_size=0.2,treshold=0.6] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_7[cache_size=0.2,treshold=0.6] | 47.7012 | -3.22569 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 39.6709 | -5.11214 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | 53.0372 | -6.96822 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 56.4676 | -7.40403 |
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_vtime[cache_size=0.4,treshold=0.6] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_7[cache_size=0.4,treshold=0.6] | 47.084 | -2.9458 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 41.0759 | -5.77332 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2212 | -5.79959 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | 56.4422 | -8.87027 |
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_decay_vtime[cache_size=0.4,treshold=0.6] | 0 | 0 |
| LR_decay_vtime[cache_size=0.1,treshold=0.6] | 0 | 0 |
| LR_decay_vtime[cache_size=0.01,treshold=0.6] | 0 | 0 |
| LR_decay_vtime[cache_size=0.2,treshold=0.6] | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 48.3529 | -2.0911 |
| LR_7[cache_size=0.01,treshold=0.6] | 46.1218 | -2.44002 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 37.195 | -2.90345 |
| LR_7[cache_size=0.4,treshold=0.6] | 47.0885 | -2.94612 |
| LR_7[cache_size=0.1,treshold=0.6] | 47.8263 | -3.21626 |
| LR_7[cache_size=0.2,treshold=0.6] | 47.7035 | -3.22357 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 53.9124 | -3.90363 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | 42.9862 | -3.92947 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 38.741 | -4.40196 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | 47.6343 | -4.98172 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 39.6686 | -5.11221 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 41.0723 | -5.77653 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2187 | -5.80283 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | 53.0391 | -6.966 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 56.4672 | -7.40246 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | 56.4435 | -8.87001 |
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=0.6] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_7_decay_rtime[cache_size=0.01,treshold=0.6] | 48.3529 | -2.0911 |
| LR_7[cache_size=0.01,treshold=0.6] | 46.1218 | -2.44002 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 37.195 | -2.90345 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | 42.9862 | -3.92947 |
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=0.6] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_7[cache_size=0.1,treshold=0.6] | 47.8263 | -3.21626 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 53.9124 | -3.90363 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 38.741 | -4.40196 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | 47.6343 | -4.98172 |
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_vtime[cache_size=0.2,treshold=0.6] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_7[cache_size=0.2,treshold=0.6] | 47.7035 | -3.22357 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 39.6686 | -5.11221 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | 53.0391 | -6.966 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 56.4672 | -7.40246 |
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_vtime[cache_size=0.4,treshold=0.6] | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 |
| LR_7[cache_size=0.4,treshold=0.6] | 47.0885 | -2.94612 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 41.0723 | -5.77653 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 41.2187 | -5.80283 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | 56.4435 | -8.87001 |
Model Classification Report
LR_7
0.01
Treshold: 0.6
All
precision recall f1-score support
0 0.77 0.75 0.76 28055468
1 0.69 0.72 0.70 21729815
accuracy 0.74 49785283
macro avg 0.73 0.73 0.73 49785283
weighted avg 0.74 0.74 0.74 49785283
Accuracy: 0.7355653276089643
0-1%
precision recall f1-score support
0 0.78 0.76 0.77 27764588
1 0.62 0.65 0.64 17098553
accuracy 0.72 44863141
macro avg 0.70 0.70 0.70 44863141
weighted avg 0.72 0.72 0.72 44863141
Accuracy: 0.7159792266885637
1-10%
precision recall f1-score support
0 0.09 0.05 0.06 287564
1 0.94 0.97 0.95 4164787
accuracy 0.91 4452351
macro avg 0.51 0.51 0.51 4452351
weighted avg 0.88 0.91 0.89 4452351
Accuracy: 0.9077972513847179
10-20%
precision recall f1-score support
0 0.01 0.02 0.01 2455
1 0.99 0.99 0.99 257616
accuracy 0.98 260071
macro avg 0.50 0.50 0.50 260071
weighted avg 0.98 0.98 0.98 260071
Accuracy: 0.9765948529440037
20-40%
precision recall f1-score support
0 0.01 0.03 0.01 659
1 1.00 0.98 0.99 130568
accuracy 0.97 131227
macro avg 0.50 0.50 0.50 131227
weighted avg 0.99 0.97 0.98 131227
Accuracy: 0.9748755972475177
40-80%
precision recall f1-score support
0 0.00 0.05 0.01 169
1 1.00 0.97 0.98 65234
accuracy 0.96 65403
macro avg 0.50 0.51 0.49 65403
weighted avg 0.99 0.96 0.98 65403
Accuracy: 0.9638854486797241
80-90%
precision recall f1-score support
0 0.00 0.07 0.01 15
1 1.00 0.96 0.98 7371
accuracy 0.95 7386
macro avg 0.50 0.51 0.49 7386
weighted avg 1.00 0.95 0.97 7386
Accuracy: 0.9545085296506904
90-100%
precision recall f1-score support
0 0.00 0.06 0.01 18
1 1.00 0.95 0.97 5686
accuracy 0.95 5704
macro avg 0.50 0.50 0.49 5704
weighted avg 0.99 0.95 0.97 5704
Accuracy: 0.9491584852734923
0.1
Treshold: 0.6
All
precision recall f1-score support
0 0.77 0.74 0.76 26119367
1 0.70 0.74 0.72 21615229
accuracy 0.74 47734596
macro avg 0.74 0.74 0.74 47734596
weighted avg 0.74 0.74 0.74 47734596
Accuracy: 0.7409564124099846
0-1%
precision recall f1-score support
0 0.96 0.95 0.96 12053010
1 0.11 0.15 0.13 508421
accuracy 0.92 12561431
macro avg 0.54 0.55 0.54 12561431
weighted avg 0.93 0.92 0.92 12561431
Accuracy: 0.9175185534195905
1-10%
precision recall f1-score support
0 0.62 0.59 0.61 13368467
1 0.64 0.67 0.65 14466820
accuracy 0.63 27835287
macro avg 0.63 0.63 0.63 27835287
weighted avg 0.63 0.63 0.63 27835287
Accuracy: 0.6313560194295823
10-20%
precision recall f1-score support
0 0.18 0.11 0.14 503365
1 0.88 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: 0.8202835061284277
20-40%
precision recall f1-score support
0 0.10 0.09 0.10 147488
1 0.93 0.94 0.94 1970425
accuracy 0.88 2117913
macro avg 0.52 0.52 0.52 2117913
weighted avg 0.87 0.88 0.88 2117913
Accuracy: 0.8809167326514357
40-80%
precision recall f1-score support
0 0.06 0.09 0.07 41616
1 0.96 0.94 0.95 1064279
accuracy 0.91 1105895
macro avg 0.51 0.52 0.51 1105895
weighted avg 0.93 0.91 0.92 1105895
Accuracy: 0.9104318221892675
80-90%
precision recall f1-score support
0 0.04 0.10 0.06 3093
1 0.98 0.94 0.96 120943
accuracy 0.92 124036
macro avg 0.51 0.52 0.51 124036
weighted avg 0.95 0.92 0.94 124036
Accuracy: 0.9208778096681609
90-100%
precision recall f1-score support
0 0.04 0.10 0.06 2328
1 0.98 0.94 0.96 97067
accuracy 0.92 99395
macro avg 0.51 0.52 0.51 99395
weighted avg 0.96 0.92 0.94 99395
Accuracy: 0.9229538709190603
0.2
Treshold: 0.6
All
precision recall f1-score support
0 0.78 0.75 0.76 24893266
1 0.71 0.74 0.72 20563095
accuracy 0.74 45456361
macro avg 0.74 0.74 0.74 45456361
weighted avg 0.74 0.74 0.74 45456361
Accuracy: 0.7428696503004277
0-1%
precision recall f1-score support
0 1.00 0.99 1.00 4873589
1 0.01 0.07 0.02 3872
accuracy 0.99 4877461
macro avg 0.50 0.53 0.51 4877461
weighted avg 1.00 0.99 1.00 4877461
Accuracy: 0.9929291079928676
1-10%
precision recall f1-score support
0 0.77 0.77 0.77 16949103
1 0.51 0.52 0.52 8016772
accuracy 0.69 24965875
macro avg 0.64 0.64 0.64 24965875
weighted avg 0.69 0.69 0.69 24965875
Accuracy: 0.6879438032914929
10-20%
precision recall f1-score support
0 0.40 0.26 0.32 2057494
1 0.75 0.85 0.80 5461156
accuracy 0.69 7518650
macro avg 0.57 0.56 0.56 7518650
weighted avg 0.66 0.69 0.67 7518650
Accuracy: 0.6884778517420016
20-40%
precision recall f1-score support
0 0.24 0.18 0.20 744974
1 0.86 0.90 0.88 4060539
accuracy 0.79 4805513
macro avg 0.55 0.54 0.54 4805513
weighted avg 0.76 0.79 0.77 4805513
Accuracy: 0.7854501694199975
40-80%
precision recall f1-score support
0 0.14 0.15 0.15 235909
1 0.92 0.91 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: 0.8462534617992384
80-90%
precision recall f1-score support
0 0.10 0.15 0.12 18577
1 0.94 0.92 0.93 296772
accuracy 0.87 315349
macro avg 0.52 0.53 0.52 315349
weighted avg 0.90 0.87 0.88 315349
Accuracy: 0.8718816295596308
90-100%
precision recall f1-score support
0 0.09 0.14 0.11 13620
1 0.95 0.92 0.93 240209
accuracy 0.88 253829
macro avg 0.52 0.53 0.52 253829
weighted avg 0.90 0.88 0.89 253829
Accuracy: 0.8771850340189655
0.4
Treshold: 0.6
All
precision recall f1-score support
0 0.79 0.76 0.77 22531902
1 0.69 0.74 0.72 16938696
accuracy 0.75 39470598
macro avg 0.74 0.75 0.74 39470598
weighted avg 0.75 0.75 0.75 39470598
Accuracy: 0.7480667761861627
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: 0.9999993548382935
1-10%
precision recall f1-score support
0 0.92 0.93 0.92 11439888
1 0.31 0.30 0.30 1271288
accuracy 0.86 12711176
macro avg 0.62 0.61 0.61 12711176
weighted avg 0.86 0.86 0.86 12711176
Accuracy: 0.8637388074872066
10-20%
precision recall f1-score support
0 0.68 0.64 0.66 5044441
1 0.56 0.60 0.58 3812372
accuracy 0.63 8856813
macro avg 0.62 0.62 0.62 8856813
weighted avg 0.63 0.63 0.63 8856813
Accuracy: 0.6256980925305751
20-40%
precision recall f1-score support
0 0.52 0.40 0.45 2995598
1 0.71 0.80 0.76 5583215
accuracy 0.66 8578813
macro avg 0.62 0.60 0.60 8578813
weighted avg 0.65 0.66 0.65 8578813
Accuracy: 0.6613833405623831
40-80%
precision recall f1-score support
0 0.34 0.30 0.32 1295061
1 0.82 0.85 0.84 5001564
accuracy 0.74 6296625
macro avg 0.58 0.57 0.58 6296625
weighted avg 0.72 0.74 0.73 6296625
Accuracy: 0.7355556349631747
80-90%
precision recall f1-score support
0 0.25 0.28 0.27 117971
1 0.88 0.86 0.87 692761
accuracy 0.77 810732
macro avg 0.56 0.57 0.57 810732
weighted avg 0.78 0.77 0.78 810732
Accuracy: 0.774581489320762
90-100%
precision recall f1-score support
0 0.24 0.27 0.25 88944
1 0.89 0.86 0.87 577496
accuracy 0.78 666440
macro avg 0.56 0.57 0.56 666440
weighted avg 0.80 0.78 0.79 666440
Accuracy: 0.7839235340015606
LR_7_decay_rtime
0.01
Treshold: 0.6
All
precision recall f1-score support
0 0.83 0.76 0.79 28055468
1 0.72 0.80 0.76 21729815
accuracy 0.78 49785283
macro avg 0.77 0.78 0.78 49785283
weighted avg 0.78 0.78 0.78 49785283
Accuracy: 0.7768952523580112
0-1%
precision recall f1-score support
0 0.83 0.77 0.80 27764588
1 0.66 0.74 0.70 17098553
accuracy 0.76 44863141
macro avg 0.75 0.76 0.75 44863141
weighted avg 0.77 0.76 0.76 44863141
Accuracy: 0.7589012993985419
1-10%
precision recall f1-score support
0 0.17 0.00 0.00 287564
1 0.94 1.00 0.97 4164787
accuracy 0.94 4452351
macro avg 0.55 0.50 0.48 4452351
weighted avg 0.89 0.94 0.90 4452351
Accuracy: 0.9354112018571761
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: 0.6
All
precision recall f1-score support
0 0.80 0.72 0.76 26119367
1 0.70 0.78 0.74 21615229
accuracy 0.75 47734596
macro avg 0.75 0.75 0.75 47734596
weighted avg 0.75 0.75 0.75 47734596
Accuracy: 0.7475041791492275
0-1%
precision recall f1-score support
0 0.96 0.98 0.97 12053010
1 0.22 0.15 0.18 508421
accuracy 0.94 12561431
macro avg 0.59 0.56 0.57 12561431
weighted avg 0.93 0.94 0.94 12561431
Accuracy: 0.9442320703747845
1-10%
precision recall f1-score support
0 0.63 0.52 0.57 13368467
1 0.62 0.72 0.67 14466820
accuracy 0.63 27835287
macro avg 0.63 0.62 0.62 27835287
weighted avg 0.63 0.63 0.62 27835287
Accuracy: 0.6252407959723929
10-20%
precision recall f1-score support
0 0.16 0.07 0.10 503365
1 0.87 0.94 0.91 3387274
accuracy 0.83 3890639
macro avg 0.51 0.51 0.50 3890639
weighted avg 0.78 0.83 0.80 3890639
Accuracy: 0.8300199530205706
20-40%
precision recall f1-score support
0 0.09 0.03 0.05 147488
1 0.93 0.97 0.95 1970425
accuracy 0.91 2117913
macro avg 0.51 0.50 0.50 2117913
weighted avg 0.87 0.91 0.89 2117913
Accuracy: 0.9069602953473538
40-80%
precision recall f1-score support
0 0.05 0.02 0.03 41616
1 0.96 0.99 0.97 1064279
accuracy 0.95 1105895
macro avg 0.51 0.50 0.50 1105895
weighted avg 0.93 0.95 0.94 1105895
Accuracy: 0.9500739220269555
80-90%
precision recall f1-score support
0 0.03 0.01 0.02 3093
1 0.98 0.99 0.98 120943
accuracy 0.97 124036
macro avg 0.50 0.50 0.50 124036
weighted avg 0.95 0.97 0.96 124036
Accuracy: 0.9668967074075269
90-100%
precision recall f1-score support
0 0.03 0.01 0.01 2328
1 0.98 0.99 0.98 97067
accuracy 0.97 99395
macro avg 0.50 0.50 0.50 99395
weighted avg 0.95 0.97 0.96 99395
Accuracy: 0.9695055083253685
0.2
Treshold: 0.6
All
precision recall f1-score support
0 0.77 0.65 0.70 24893266
1 0.64 0.76 0.70 20563095
accuracy 0.70 45456361
macro avg 0.70 0.70 0.70 45456361
weighted avg 0.71 0.70 0.70 45456361
Accuracy: 0.6992088522000254
0-1%
precision recall f1-score support
0 1.00 0.99 0.99 4873589
1 0.03 0.54 0.06 3872
accuracy 0.99 4877461
macro avg 0.51 0.76 0.53 4877461
weighted avg 1.00 0.99 0.99 4877461
Accuracy: 0.985867237072731
1-10%
precision recall f1-score support
0 0.83 0.60 0.70 16949103
1 0.47 0.73 0.57 8016772
accuracy 0.65 24965875
macro avg 0.65 0.67 0.63 24965875
weighted avg 0.71 0.65 0.66 24965875
Accuracy: 0.6460417269572967
10-20%
precision recall f1-score support
0 0.38 0.37 0.38 2057494
1 0.77 0.78 0.77 5461156
accuracy 0.66 7518650
macro avg 0.57 0.57 0.57 7518650
weighted avg 0.66 0.66 0.66 7518650
Accuracy: 0.6638534843356187
20-40%
precision recall f1-score support
0 0.22 0.35 0.27 744974
1 0.87 0.78 0.82 4060539
accuracy 0.71 4805513
macro avg 0.55 0.56 0.55 4805513
weighted avg 0.77 0.71 0.74 4805513
Accuracy: 0.7115223702443423
40-80%
precision recall f1-score support
0 0.13 0.34 0.19 235909
1 0.93 0.78 0.84 2483775
accuracy 0.74 2719684
macro avg 0.53 0.56 0.51 2719684
weighted avg 0.86 0.74 0.79 2719684
Accuracy: 0.738614486094708
80-90%
precision recall f1-score support
0 0.09 0.34 0.14 18577
1 0.95 0.77 0.85 296772
accuracy 0.75 315349
macro avg 0.52 0.56 0.49 315349
weighted avg 0.90 0.75 0.81 315349
Accuracy: 0.7480061772829468
90-100%
precision recall f1-score support
0 0.08 0.34 0.13 13620
1 0.95 0.77 0.86 240209
accuracy 0.75 253829
macro avg 0.52 0.56 0.49 253829
weighted avg 0.91 0.75 0.82 253829
Accuracy: 0.751572909320842
0.4
Treshold: 0.6
All
precision recall f1-score support
0 0.75 0.77 0.76 22531902
1 0.68 0.65 0.67 16938696
accuracy 0.72 39470598
macro avg 0.71 0.71 0.71 39470598
weighted avg 0.72 0.72 0.72 39470598
Accuracy: 0.7205015996970707
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: 0.9999799999870967
1-10%
precision recall f1-score support
0 0.95 0.86 0.90 11439888
1 0.33 0.61 0.43 1271288
accuracy 0.84 12711176
macro avg 0.64 0.74 0.66 12711176
weighted avg 0.89 0.84 0.86 12711176
Accuracy: 0.8353681044145719
10-20%
precision recall f1-score support
0 0.71 0.66 0.69 5044441
1 0.59 0.65 0.62 3812372
accuracy 0.66 8856813
macro avg 0.65 0.65 0.65 8856813
weighted avg 0.66 0.66 0.66 8856813
Accuracy: 0.6560412870859981
20-40%
precision recall f1-score support
0 0.49 0.61 0.54 2995598
1 0.76 0.66 0.70 5583215
accuracy 0.64 8578813
macro avg 0.62 0.63 0.62 8578813
weighted avg 0.66 0.64 0.65 8578813
Accuracy: 0.6403670297977121
40-80%
precision recall f1-score support
0 0.30 0.58 0.40 1295061
1 0.86 0.65 0.74 5001564
accuracy 0.64 6296625
macro avg 0.58 0.62 0.57 6296625
weighted avg 0.74 0.64 0.67 6296625
Accuracy: 0.639187977686459
80-90%
precision recall f1-score support
0 0.22 0.58 0.32 117971
1 0.90 0.65 0.75 692761
accuracy 0.64 810732
macro avg 0.56 0.61 0.53 810732
weighted avg 0.80 0.64 0.69 810732
Accuracy: 0.6372574414233063
90-100%
precision recall f1-score support
0 0.20 0.58 0.30 88944
1 0.91 0.65 0.76 577496
accuracy 0.64 666440
macro avg 0.55 0.61 0.53 666440
weighted avg 0.81 0.64 0.69 666440
Accuracy: 0.6373476982173939
LR_7_decay_vtime
0.01
Treshold: 0.6
All
precision recall f1-score support
0 0.66 0.76 0.71 28055468
1 0.61 0.49 0.55 21729815
accuracy 0.64 49785283
macro avg 0.64 0.63 0.63 49785283
weighted avg 0.64 0.64 0.64 49785283
Accuracy: 0.6430582306823485
0-1%
precision recall f1-score support
0 0.71 0.76 0.73 27764588
1 0.56 0.49 0.52 17098553
accuracy 0.66 44863141
macro avg 0.63 0.62 0.63 44863141
weighted avg 0.65 0.66 0.65 44863141
Accuracy: 0.6566422756712464
1-10%
precision recall f1-score support
0 0.07 0.49 0.12 287564
1 0.94 0.52 0.67 4164787
accuracy 0.52 4452351
macro avg 0.50 0.51 0.39 4452351
weighted avg 0.88 0.52 0.63 4452351
Accuracy: 0.5189997374420839
10-20%
precision recall f1-score support
0 0.01 0.48 0.02 2455
1 0.99 0.52 0.68 257616
accuracy 0.52 260071
macro avg 0.50 0.50 0.35 260071
weighted avg 0.98 0.52 0.68 260071
Accuracy: 0.5207539479603647
20-40%
precision recall f1-score support
0 0.01 0.51 0.01 659
1 1.00 0.52 0.68 130568
accuracy 0.52 131227
macro avg 0.50 0.52 0.35 131227
weighted avg 0.99 0.52 0.68 131227
Accuracy: 0.5218819297857911
40-80%
precision recall f1-score support
0 0.00 0.46 0.00 169
1 1.00 0.52 0.69 65234
accuracy 0.52 65403
macro avg 0.50 0.49 0.35 65403
weighted avg 0.99 0.52 0.69 65403
Accuracy: 0.5238750516031375
80-90%
precision recall f1-score support
0 0.00 0.27 0.00 15
1 1.00 0.52 0.68 7371
accuracy 0.52 7386
macro avg 0.50 0.39 0.34 7386
weighted avg 1.00 0.52 0.68 7386
Accuracy: 0.5199025182778229
90-100%
precision recall f1-score support
0 0.00 0.44 0.01 18
1 1.00 0.53 0.69 5686
accuracy 0.53 5704
macro avg 0.50 0.49 0.35 5704
weighted avg 0.99 0.53 0.69 5704
Accuracy: 0.527875175315568
0.1
Treshold: 0.6
All
precision recall f1-score support
0 0.67 0.75 0.71 26119367
1 0.65 0.56 0.60 21615229
accuracy 0.67 47734596
macro avg 0.66 0.66 0.66 47734596
weighted avg 0.66 0.67 0.66 47734596
Accuracy: 0.6659124966722249
0-1%
precision recall f1-score support
0 0.98 0.91 0.94 12053010
1 0.19 0.49 0.28 508421
accuracy 0.90 12561431
macro avg 0.59 0.70 0.61 12561431
weighted avg 0.95 0.90 0.92 12561431
Accuracy: 0.8967799926616641
1-10%
precision recall f1-score support
0 0.57 0.63 0.59 13368467
1 0.62 0.56 0.58 14466820
accuracy 0.59 27835287
macro avg 0.59 0.59 0.59 27835287
weighted avg 0.59 0.59 0.59 27835287
Accuracy: 0.589570138076895
10-20%
precision recall f1-score support
0 0.14 0.49 0.22 503365
1 0.88 0.57 0.69 3387274
accuracy 0.56 3890639
macro avg 0.51 0.53 0.46 3890639
weighted avg 0.79 0.56 0.63 3890639
Accuracy: 0.5598941459230733
20-40%
precision recall f1-score support
0 0.08 0.49 0.13 147488
1 0.94 0.57 0.71 1970425
accuracy 0.56 2117913
macro avg 0.51 0.53 0.42 2117913
weighted avg 0.88 0.56 0.67 2117913
Accuracy: 0.5607761036454283
40-80%
precision recall f1-score support
0 0.04 0.49 0.08 41616
1 0.97 0.56 0.71 1064279
accuracy 0.56 1105895
macro avg 0.50 0.53 0.39 1105895
weighted avg 0.93 0.56 0.69 1105895
Accuracy: 0.5608769367797124
80-90%
precision recall f1-score support
0 0.03 0.50 0.05 3093
1 0.98 0.56 0.71 120943
accuracy 0.56 124036
macro avg 0.50 0.53 0.38 124036
weighted avg 0.95 0.56 0.70 124036
Accuracy: 0.5600954561578897
90-100%
precision recall f1-score support
0 0.03 0.48 0.05 2328
1 0.98 0.56 0.71 97067
accuracy 0.56 99395
macro avg 0.50 0.52 0.38 99395
weighted avg 0.96 0.56 0.70 99395
Accuracy: 0.5594446400724382
0.2
Treshold: 0.6
All
precision recall f1-score support
0 0.69 0.76 0.73 24893266
1 0.67 0.60 0.63 20563095
accuracy 0.69 45456361
macro avg 0.68 0.68 0.68 45456361
weighted avg 0.68 0.69 0.68 45456361
Accuracy: 0.6853694909717916
0-1%
precision recall f1-score support
0 1.00 0.99 0.99 4873589
1 0.04 0.53 0.07 3872
accuracy 0.99 4877461
macro avg 0.52 0.76 0.53 4877461
weighted avg 1.00 0.99 0.99 4877461
Accuracy: 0.9888593676095001
1-10%
precision recall f1-score support
0 0.79 0.73 0.76 16949103
1 0.51 0.59 0.55 8016772
accuracy 0.69 24965875
macro avg 0.65 0.66 0.65 24965875
weighted avg 0.70 0.69 0.69 24965875
Accuracy: 0.6865130503136782
10-20%
precision recall f1-score support
0 0.34 0.54 0.42 2057494
1 0.78 0.61 0.68 5461156
accuracy 0.59 7518650
macro avg 0.56 0.57 0.55 7518650
weighted avg 0.66 0.59 0.61 7518650
Accuracy: 0.5877176088792536
20-40%
precision recall f1-score support
0 0.19 0.51 0.28 744974
1 0.87 0.60 0.71 4060539
accuracy 0.59 4805513
macro avg 0.53 0.56 0.50 4805513
weighted avg 0.77 0.59 0.65 4805513
Accuracy: 0.5898589807165229
40-80%
precision recall f1-score support
0 0.11 0.51 0.18 235909
1 0.93 0.60 0.73 2483775
accuracy 0.59 2719684
macro avg 0.52 0.55 0.45 2719684
weighted avg 0.86 0.59 0.68 2719684
Accuracy: 0.5896339427668803
80-90%
precision recall f1-score support
0 0.07 0.51 0.13 18577
1 0.95 0.59 0.73 296772
accuracy 0.59 315349
macro avg 0.51 0.55 0.43 315349
weighted avg 0.90 0.59 0.69 315349
Accuracy: 0.5880690917047462
90-100%
precision recall f1-score support
0 0.07 0.51 0.12 13620
1 0.96 0.59 0.73 240209
accuracy 0.59 253829
macro avg 0.51 0.55 0.42 253829
weighted avg 0.91 0.59 0.70 253829
Accuracy: 0.5885773493178479
0.4
Treshold: 0.6
All
precision recall f1-score support
0 0.75 0.77 0.76 22531902
1 0.68 0.65 0.67 16938696
accuracy 0.72 39470598
macro avg 0.71 0.71 0.71 39470598
weighted avg 0.72 0.72 0.72 39470598
Accuracy: 0.7204605311528344
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: 0.9999799999870967
1-10%
precision recall f1-score support
0 0.95 0.86 0.90 11439888
1 0.33 0.61 0.43 1271288
accuracy 0.84 12711176
macro avg 0.64 0.73 0.67 12711176
weighted avg 0.89 0.84 0.86 12711176
Accuracy: 0.8359139233065453
10-20%
precision recall f1-score support
0 0.71 0.67 0.69 5044441
1 0.59 0.64 0.62 3812372
accuracy 0.66 8856813
macro avg 0.65 0.65 0.65 8856813
weighted avg 0.66 0.66 0.66 8856813
Accuracy: 0.6561279999927739
20-40%
precision recall f1-score support
0 0.49 0.61 0.54 2995598
1 0.76 0.66 0.70 5583215
accuracy 0.64 8578813
macro avg 0.62 0.63 0.62 8578813
weighted avg 0.66 0.64 0.65 8578813
Accuracy: 0.6399417961435924
40-80%
precision recall f1-score support
0 0.30 0.59 0.40 1295061
1 0.86 0.65 0.74 5001564
accuracy 0.64 6296625
macro avg 0.58 0.62 0.57 6296625
weighted avg 0.74 0.64 0.67 6296625
Accuracy: 0.6384820439521172
80-90%
precision recall f1-score support
0 0.22 0.58 0.32 117971
1 0.90 0.65 0.75 692761
accuracy 0.64 810732
macro avg 0.56 0.61 0.53 810732
weighted avg 0.80 0.64 0.69 810732
Accuracy: 0.636448296107715
90-100%
precision recall f1-score support
0 0.20 0.58 0.30 88944
1 0.91 0.65 0.75 577496
accuracy 0.64 666440
macro avg 0.55 0.61 0.53 666440
weighted avg 0.81 0.64 0.69 666440
Accuracy: 0.6364804033371346
LR_decay_rtime
0.01
Treshold: 0.6
All
precision recall f1-score support
0 0.64 0.65 0.64 28055468
1 0.53 0.52 0.53 21729815
accuracy 0.59 49785283
macro avg 0.59 0.58 0.58 49785283
weighted avg 0.59 0.59 0.59 49785283
Accuracy: 0.5927141360228886
0-1%
precision recall f1-score support
0 0.69 0.65 0.67 27764588
1 0.48 0.52 0.50 17098553
accuracy 0.60 44863141
macro avg 0.58 0.59 0.58 44863141
weighted avg 0.61 0.60 0.60 44863141
Accuracy: 0.6006951006841006
1-10%
precision recall f1-score support
0 0.07 0.61 0.13 287564
1 0.95 0.47 0.63 4164787
accuracy 0.48 4452351
macro avg 0.51 0.54 0.38 4452351
weighted avg 0.89 0.48 0.60 4452351
Accuracy: 0.47973553747222536
10-20%
precision recall f1-score support
0 0.01 0.13 0.02 2455
1 0.99 0.87 0.93 257616
accuracy 0.87 260071
macro avg 0.50 0.50 0.47 260071
weighted avg 0.98 0.87 0.92 260071
Accuracy: 0.8674131294915619
20-40%
precision recall f1-score support
0 0.01 0.09 0.01 659
1 1.00 0.93 0.96 130568
accuracy 0.93 131227
macro avg 0.50 0.51 0.49 131227
weighted avg 0.99 0.93 0.96 131227
Accuracy: 0.9298619948638619
40-80%
precision recall f1-score support
0 0.00 0.02 0.00 169
1 1.00 0.97 0.98 65234
accuracy 0.96 65403
macro avg 0.50 0.49 0.49 65403
weighted avg 0.99 0.96 0.98 65403
Accuracy: 0.9635184930354876
80-90%
precision recall f1-score support
0 0.00 0.00 0.00 15
1 1.00 0.98 0.99 7371
accuracy 0.98 7386
macro avg 0.50 0.49 0.49 7386
weighted avg 1.00 0.98 0.99 7386
Accuracy: 0.979555916598971
90-100%
precision recall f1-score support
0 0.00 0.00 0.00 18
1 1.00 0.98 0.99 5686
accuracy 0.97 5704
macro avg 0.50 0.49 0.49 5704
weighted avg 0.99 0.97 0.98 5704
Accuracy: 0.9742286115007013
0.1
Treshold: 0.6
All
precision recall f1-score support
0 0.73 0.71 0.72 26119367
1 0.66 0.68 0.67 21615229
accuracy 0.70 47734596
macro avg 0.69 0.70 0.69 47734596
weighted avg 0.70 0.70 0.70 47734596
Accuracy: 0.6970736905367335
0-1%
precision recall f1-score support
0 0.98 0.92 0.95 12053010
1 0.20 0.46 0.28 508421
accuracy 0.90 12561431
macro avg 0.59 0.69 0.62 12561431
weighted avg 0.94 0.90 0.92 12561431
Accuracy: 0.904882811520439
1-10%
precision recall f1-score support
0 0.60 0.55 0.57 13368467
1 0.61 0.66 0.64 14466820
accuracy 0.61 27835287
macro avg 0.60 0.60 0.60 27835287
weighted avg 0.60 0.61 0.60 27835287
Accuracy: 0.6054185825351828
10-20%
precision recall f1-score support
0 0.16 0.35 0.22 503365
1 0.88 0.72 0.79 3387274
accuracy 0.67 3890639
macro avg 0.52 0.54 0.51 3890639
weighted avg 0.79 0.67 0.72 3890639
Accuracy: 0.6739247717405804
20-40%
precision recall f1-score support
0 0.09 0.34 0.14 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: 0.7002516156234935
40-80%
precision recall f1-score support
0 0.05 0.34 0.08 41616
1 0.97 0.73 0.83 1064279
accuracy 0.71 1105895
macro avg 0.51 0.53 0.46 1105895
weighted avg 0.93 0.71 0.80 1105895
Accuracy: 0.714353532659068
80-90%
precision recall f1-score support
0 0.03 0.35 0.06 3093
1 0.98 0.73 0.83 120943
accuracy 0.72 124036
macro avg 0.50 0.54 0.45 124036
weighted avg 0.95 0.72 0.82 124036
Accuracy: 0.7191379921958141
90-100%
precision recall f1-score support
0 0.03 0.33 0.05 2328
1 0.98 0.73 0.84 97067
accuracy 0.72 99395
macro avg 0.50 0.53 0.44 99395
weighted avg 0.96 0.72 0.82 99395
Accuracy: 0.7207505407716686
0.2
Treshold: 0.6
All
precision recall f1-score support
0 0.75 0.67 0.71 24893266
1 0.65 0.72 0.68 20563095
accuracy 0.70 45456361
macro avg 0.70 0.70 0.70 45456361
weighted avg 0.70 0.70 0.70 45456361
Accuracy: 0.6958789772018926
0-1%
precision recall f1-score support
0 1.00 0.99 0.99 4873589
1 0.03 0.55 0.06 3872
accuracy 0.99 4877461
macro avg 0.52 0.77 0.53 4877461
weighted avg 1.00 0.99 0.99 4877461
Accuracy: 0.9858184411930716
1-10%
precision recall f1-score support
0 0.82 0.63 0.71 16949103
1 0.47 0.70 0.57 8016772
accuracy 0.65 24965875
macro avg 0.65 0.67 0.64 24965875
weighted avg 0.71 0.65 0.67 24965875
Accuracy: 0.6545496602862908
10-20%
precision recall f1-score support
0 0.37 0.41 0.39 2057494
1 0.77 0.74 0.75 5461156
accuracy 0.65 7518650
macro avg 0.57 0.57 0.57 7518650
weighted avg 0.66 0.65 0.65 7518650
Accuracy: 0.6473836393501493
20-40%
precision recall f1-score support
0 0.21 0.39 0.27 744974
1 0.87 0.74 0.80 4060539
accuracy 0.68 4805513
macro avg 0.54 0.56 0.54 4805513
weighted avg 0.77 0.68 0.72 4805513
Accuracy: 0.6846078660072296
40-80%
precision recall f1-score support
0 0.12 0.38 0.18 235909
1 0.93 0.74 0.82 2483775
accuracy 0.71 2719684
macro avg 0.52 0.56 0.50 2719684
weighted avg 0.86 0.71 0.77 2719684
Accuracy: 0.7055860166107533
80-90%
precision recall f1-score support
0 0.08 0.38 0.13 18577
1 0.95 0.73 0.83 296772
accuracy 0.71 315349
macro avg 0.52 0.56 0.48 315349
weighted avg 0.90 0.71 0.79 315349
Accuracy: 0.7122553107826567
90-100%
precision recall f1-score support
0 0.08 0.39 0.13 13620
1 0.95 0.73 0.83 240209
accuracy 0.72 253829
macro avg 0.52 0.56 0.48 253829
weighted avg 0.91 0.72 0.79 253829
Accuracy: 0.7150758975530771
0.4
Treshold: 0.6
All
precision recall f1-score support
0 0.79 0.66 0.72 22531902
1 0.63 0.77 0.69 16938696
accuracy 0.71 39470598
macro avg 0.71 0.71 0.70 39470598
weighted avg 0.72 0.71 0.71 39470598
Accuracy: 0.7054521190684773
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: 0.9998161289136316
1-10%
precision recall f1-score support
0 0.96 0.76 0.85 11439888
1 0.25 0.74 0.38 1271288
accuracy 0.76 12711176
macro avg 0.61 0.75 0.61 12711176
weighted avg 0.89 0.76 0.80 12711176
Accuracy: 0.758062511289278
10-20%
precision recall f1-score support
0 0.74 0.51 0.61 5044441
1 0.54 0.77 0.64 3812372
accuracy 0.62 8856813
macro avg 0.64 0.64 0.62 8856813
weighted avg 0.66 0.62 0.62 8856813
Accuracy: 0.6216626680500085
20-40%
precision recall f1-score support
0 0.52 0.46 0.49 2995598
1 0.73 0.77 0.75 5583215
accuracy 0.66 8578813
macro avg 0.62 0.61 0.62 8578813
weighted avg 0.65 0.66 0.66 8578813
Accuracy: 0.6626260532780001
40-80%
precision recall f1-score support
0 0.33 0.44 0.37 1295061
1 0.84 0.77 0.80 5001564
accuracy 0.70 6296625
macro avg 0.58 0.60 0.59 6296625
weighted avg 0.74 0.70 0.71 6296625
Accuracy: 0.700276100291823
80-90%
precision recall f1-score support
0 0.24 0.43 0.31 117971
1 0.89 0.76 0.82 692761
accuracy 0.72 810732
macro avg 0.56 0.60 0.56 810732
weighted avg 0.79 0.72 0.75 810732
Accuracy: 0.7156125575405929
90-100%
precision recall f1-score support
0 0.22 0.43 0.29 88944
1 0.90 0.76 0.82 577496
accuracy 0.72 666440
macro avg 0.56 0.60 0.56 666440
weighted avg 0.81 0.72 0.75 666440
Accuracy: 0.7187383710461557
LR_decay_vtime
0.01
Treshold: 0.6
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: 0.6
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: 0.6
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: 0.6
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=0.6] | 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_rtime[cache_size=0.01,treshold=0.6] | 5394390 | 0.41367 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.6] | 5624188 | 0.415091 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 6555803 | 0.416964 | ../../result/log/zipf_1_15 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | 5951926 | 0.421107 | ../../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=0.6] | 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[cache_size=0.1,treshold=0.6] | 5360087 | 0.220696 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 4733150 | 0.222191 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 6293267 | 0.223231 | ../../result/log/zipf_1_15 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | 5377652 | 0.224473 | ../../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_vtime[cache_size=0.2,treshold=0.6] | 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_7[cache_size=0.2,treshold=0.6] | 5229392 | 0.157674 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 6035426 | 0.16054 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | 4696286 | 0.163388 | ../../result/log/zipf_1_15 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 4353128 | 0.164057 | ../../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_vtime[cache_size=0.4,treshold=0.6] | 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_7[cache_size=0.4,treshold=0.6] | 4886072 | 0.0923637 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 5441395 | 0.0949039 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 5428111 | 0.0949261 | ../../result/log/zipf_1_15 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | 4022189 | 0.0976843 | ../../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=0.6] | 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_rtime[cache_size=0.01,treshold=0.6] | 5390735 | 0.413832 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.6] | 5622068 | 0.415253 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 6555117 | 0.417117 | ../../result/log/zipf_1_16 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | 5949888 | 0.421275 | ../../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=0.6] | 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[cache_size=0.1,treshold=0.6] | 5360305 | 0.22086 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 4733840 | 0.222338 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 6298342 | 0.223385 | ../../result/log/zipf_1_16 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | 5380365 | 0.224623 | ../../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_vtime[cache_size=0.2,treshold=0.6] | 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_7[cache_size=0.2,treshold=0.6] | 5236734 | 0.157779 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 6039481 | 0.160661 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | 4701991 | 0.163493 | ../../result/log/zipf_1_16 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 4357859 | 0.164165 | ../../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_vtime[cache_size=0.4,treshold=0.6] | 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_7[cache_size=0.4,treshold=0.6] | 4894672 | 0.0923775 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 5450060 | 0.0949163 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 5436795 | 0.0949382 | ../../result/log/zipf_1_16 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | 4028109 | 0.0976989 | ../../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=0.6] | 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_rtime[cache_size=0.01,treshold=0.6] | 5394726 | 0.413716 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.6] | 5625900 | 0.41513 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 6556563 | 0.417008 | ../../result/log/zipf_1_17 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | 5952343 | 0.421169 | ../../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=0.6] | 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[cache_size=0.1,treshold=0.6] | 5357644 | 0.220741 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 4734409 | 0.2222 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 6289254 | 0.223285 | ../../result/log/zipf_1_17 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | 5375344 | 0.224522 | ../../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_vtime[cache_size=0.2,treshold=0.6] | 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_7[cache_size=0.2,treshold=0.6] | 5231447 | 0.157695 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 6032244 | 0.160593 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | 4697984 | 0.163428 | ../../result/log/zipf_1_17 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 4354036 | 0.164098 | ../../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_vtime[cache_size=0.4,treshold=0.6] | 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_7[cache_size=0.4,treshold=0.6] | 4889127 | 0.0923508 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 5445326 | 0.0948899 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 5431793 | 0.0949135 | ../../result/log/zipf_1_17 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | 4026445 | 0.097665 | ../../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=0.6] | 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_rtime[cache_size=0.01,treshold=0.6] | 5390439 | 0.413671 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.6] | 5625647 | 0.415084 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 6558117 | 0.416954 | ../../result/log/zipf_1_18 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | 5952093 | 0.421119 | ../../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=0.6] | 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[cache_size=0.1,treshold=0.6] | 5361294 | 0.220688 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 4736931 | 0.222155 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 6290318 | 0.223233 | ../../result/log/zipf_1_18 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | 5378521 | 0.22446 | ../../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_vtime[cache_size=0.2,treshold=0.6] | 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_7[cache_size=0.2,treshold=0.6] | 5230219 | 0.157625 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 6032945 | 0.160522 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | 4696106 | 0.163353 | ../../result/log/zipf_1_18 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 4354357 | 0.16401 | ../../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_vtime[cache_size=0.4,treshold=0.6] | 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_7[cache_size=0.4,treshold=0.6] | 4884998 | 0.0922988 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 5438445 | 0.0948469 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 5425339 | 0.0948704 | ../../result/log/zipf_1_18 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | 4021280 | 0.0976172 | ../../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=0.6] | 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_rtime[cache_size=0.01,treshold=0.6] | 5393299 | 0.413714 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7[cache_size=0.01,treshold=0.6] | 5626394 | 0.415125 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_7_decay_vtime[cache_size=0.01,treshold=0.6] | 6559818 | 0.417008 | ../../result/log/zipf_1_19 | 0.01 | 1 |
| LR_decay_rtime[cache_size=0.01,treshold=0.6] | 5953935 | 0.421167 | ../../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=0.6] | 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[cache_size=0.1,treshold=0.6] | 5359165 | 0.220761 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_rtime[cache_size=0.1,treshold=0.6] | 4736635 | 0.222227 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_7_decay_vtime[cache_size=0.1,treshold=0.6] | 6294254 | 0.223297 | ../../result/log/zipf_1_19 | 0.1 | 1 |
| LR_decay_rtime[cache_size=0.1,treshold=0.6] | 5379727 | 0.224537 | ../../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_vtime[cache_size=0.2,treshold=0.6] | 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_7[cache_size=0.2,treshold=0.6] | 5231219 | 0.157735 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_vtime[cache_size=0.2,treshold=0.6] | 6035527 | 0.160602 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_decay_rtime[cache_size=0.2,treshold=0.6] | 4697660 | 0.163434 | ../../result/log/zipf_1_19 | 0.2 | 1 |
| LR_7_decay_rtime[cache_size=0.2,treshold=0.6] | 4354820 | 0.164095 | ../../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_vtime[cache_size=0.4,treshold=0.6] | 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_7[cache_size=0.4,treshold=0.6] | 4891710 | 0.0923776 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_vtime[cache_size=0.4,treshold=0.6] | 5447047 | 0.0948944 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_7_decay_rtime[cache_size=0.4,treshold=0.6] | 5433109 | 0.094921 | ../../result/log/zipf_1_19 | 0.4 | 1 |
| LR_decay_rtime[cache_size=0.4,treshold=0.6] | 4025183 | 0.0976775 | ../../result/log/zipf_1_19 | 0.4 | 1 |