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add crossformer results
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khairulislam committed Oct 15, 2023
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9 changes: 9 additions & 0 deletions results/electricity_Crossformer/tsr_deep_lift.csv
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metric,area,comp,suff
mae,0.05,11.750957,11.827413
mae,0.075,13.47984,10.356981
mae,0.1,14.234896,9.594617
mae,0.15,15.462023,7.994136
mse,0.05,9.985294,9.14542
mse,0.075,12.608323,7.113958
mse,0.1,13.864053,6.173681
mse,0.15,15.908672,4.449514
9 changes: 9 additions & 0 deletions results/electricity_Crossformer/tsr_gradient_shap.csv
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metric,area,comp,suff
mae,0.05,11.812389,11.798157
mae,0.075,13.461141,10.35734
mae,0.1,14.253102,9.542648
mae,0.15,15.516494,7.9605
mse,0.05,10.223652,9.123401
mse,0.075,12.71188,7.145
mse,0.1,14.004521,6.143674
mse,0.15,16.239821,4.420669
9 changes: 9 additions & 0 deletions results/electricity_Crossformer/tsr_integrated_gradients.csv
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metric,area,comp,suff
mae,0.05,11.712484,11.764507
mae,0.075,13.351978,10.284234
mae,0.1,14.139372,9.512412
mae,0.15,15.468484,7.959971
mse,0.05,10.051986,9.023406
mse,0.075,12.482359,7.001242
mse,0.1,13.787328,6.042616
mse,0.15,16.041217,4.419902
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metric,area,comp,suff
mae,0.05,11.750957,11.827413
mae,0.075,13.47984,10.356981
mae,0.1,14.234896,9.594617
mae,0.15,15.462023,7.994136
mse,0.05,9.985294,9.14542
mse,0.075,12.608323,7.113958
mse,0.1,13.864053,6.173681
mse,0.15,15.908672,4.449514
13 changes: 13 additions & 0 deletions results/mimic_iii_Crossformer/tsr_deep_lift.csv
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metric,area,comp,suff
accuracy,0.05,0.966065,0.973878
accuracy,0.075,0.966065,0.973444
accuracy,0.1,0.964329,0.97293
accuracy,0.15,0.963895,0.968236
auc,0.05,0.689442,0.696245
auc,0.075,0.656561,0.706679
auc,0.1,0.614436,0.715621
auc,0.15,0.551595,0.725575
cross_entropy,0.05,0.103766,0.115665
cross_entropy,0.075,0.114826,0.11735
cross_entropy,0.1,0.126829,0.117357
cross_entropy,0.15,0.14185,0.120929
13 changes: 13 additions & 0 deletions results/mimic_iii_Crossformer/tsr_gradient_shap.csv
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metric,area,comp,suff
accuracy,0.05,0.965278,0.971354
accuracy,0.075,0.963542,0.969618
accuracy,0.1,0.963976,0.970052
accuracy,0.15,0.963542,0.97092
auc,0.05,0.645093,0.639433
auc,0.075,0.617785,0.654861
auc,0.1,0.580866,0.661209
auc,0.15,0.519186,0.670089
cross_entropy,0.05,0.100585,0.115619
cross_entropy,0.075,0.11217,0.11649
cross_entropy,0.1,0.122798,0.1193
cross_entropy,0.15,0.13751,0.12243
13 changes: 13 additions & 0 deletions results/mimic_iii_Crossformer/tsr_integrated_gradients.csv
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metric,area,comp,suff
accuracy,0.05,0.965985,0.968589
accuracy,0.075,0.964249,0.968155
accuracy,0.1,0.964683,0.973878
accuracy,0.15,0.963381,0.974392
auc,0.05,0.717198,0.72098
auc,0.075,0.68283,0.739677
auc,0.1,0.636029,0.743543
auc,0.15,0.560216,0.753315
cross_entropy,0.05,0.10227,0.117988
cross_entropy,0.075,0.11347,0.115487
cross_entropy,0.1,0.125136,0.115393
cross_entropy,0.15,0.140794,0.116399
13 changes: 13 additions & 0 deletions results/mimic_iii_Crossformer/tsr_integrated_gradients_orig.csv
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metric,area,comp,suff
accuracy,0.05,0.966065,0.973878
accuracy,0.075,0.966065,0.973444
accuracy,0.1,0.964329,0.97293
accuracy,0.15,0.963895,0.968236
auc,0.05,0.689442,0.696245
auc,0.075,0.656561,0.706679
auc,0.1,0.614436,0.715621
auc,0.15,0.551595,0.725575
cross_entropy,0.05,0.103766,0.115665
cross_entropy,0.075,0.114826,0.11735
cross_entropy,0.1,0.126829,0.117357
cross_entropy,0.15,0.14185,0.120929
13 changes: 13 additions & 0 deletions results/mimic_iii_Crossformer/winIT.csv
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metric,area,comp,suff
accuracy,0.05,0.985652,0.963913
accuracy,0.075,0.979565,0.965217
accuracy,0.1,0.973043,0.966522
accuracy,0.15,0.968261,0.966957
auc,0.05,0.131594,0.092609
auc,0.075,0.131594,0.09971
auc,0.1,0.131014,0.11058
auc,0.15,0.128261,0.115217
cross_entropy,0.05,0.084172,0.150893
cross_entropy,0.075,0.083697,0.140309
cross_entropy,0.1,0.08591,0.132684
cross_entropy,0.15,0.091803,0.126317
9 changes: 9 additions & 0 deletions results/traffic_Crossformer/tsr_deep_lift.csv
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metric,area,comp,suff
mae,0.05,8.071214,18.804994
mae,0.075,9.594707,15.761626
mae,0.1,10.422612,14.09881
mae,0.15,12.277957,10.968051
mse,0.05,4.477453,19.99465
mse,0.075,6.136419,14.257711
mse,0.1,7.133228,11.506669
mse,0.15,9.657874,7.070959
9 changes: 9 additions & 0 deletions results/traffic_Crossformer/tsr_gradient_shap.csv
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metric,area,comp,suff
mae,0.05,8.278288,18.86039
mae,0.075,9.706403,15.866031
mae,0.1,10.600485,14.208139
mae,0.15,12.524128,11.060771
mse,0.05,4.646847,20.191155
mse,0.075,6.235019,14.546905
mse,0.1,7.326025,11.758336
mse,0.15,9.966958,7.242818
9 changes: 9 additions & 0 deletions results/traffic_Crossformer/tsr_integrated_gradients.csv
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metric,area,comp,suff
mae,0.05,8.042703,18.963658
mae,0.075,9.549079,15.858062
mae,0.1,10.374462,14.165776
mae,0.15,12.278158,11.002228
mse,0.05,4.454946,20.347757
mse,0.075,6.069543,14.480059
mse,0.1,7.072705,11.658718
mse,0.15,9.629995,7.141124
9 changes: 9 additions & 0 deletions results/traffic_Crossformer/tsr_integrated_gradients_orig.csv
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metric,area,comp,suff
mae,0.05,8.071214,18.804994
mae,0.075,9.594707,15.761626
mae,0.1,10.422612,14.09881
mae,0.15,12.277957,10.968051
mse,0.05,4.477453,19.99465
mse,0.075,6.136419,14.257711
mse,0.1,7.133228,11.506669
mse,0.15,9.657874,7.070959
69 changes: 69 additions & 0 deletions scripts/outputs/Crossformer_tsr_orig.out
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Use GPU: cuda:0
Experiments will be saved in scratch/electricity_Crossformer
test 2607
Loading model from scratch/electricity_Crossformer/checkpoint.pth
explainers: ['integrated_gradients']
areas: [0.05, 0.075, 0.1, 0.15]
metrics: ['mae', 'mse']

Interpreting with TSR enabled.
Running integrated_gradients from 2023-10-15 16:10:48.294566
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Experiment ended at 2023-10-15 17:46:46.793687. Total time taken 1:35:58.499121.
metric area comp suff
0 mae 0.050 11.750957 11.827413
1 mae 0.075 13.479840 10.356981
2 mae 0.100 14.234896 9.594617
3 mae 0.150 15.462023 7.994136
4 mse 0.050 9.985294 9.145420
5 mse 0.075 12.608323 7.113958
6 mse 0.100 13.864053 6.173681
7 mse 0.150 15.908672 4.449514
Use GPU: cuda:0
Experiments will be saved in scratch/traffic_Crossformer
test 1731
Loading model from scratch/traffic_Crossformer/checkpoint.pth
explainers: ['integrated_gradients']
areas: [0.05, 0.075, 0.1, 0.15]
metrics: ['mae', 'mse']

Interpreting with TSR enabled.
Running integrated_gradients from 2023-10-15 17:46:58.733613
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Experiment ended at 2023-10-15 18:51:17.022734. Total time taken 1:04:18.289121.
metric area comp suff
0 mae 0.050 8.071214 18.804994
1 mae 0.075 9.594707 15.761626
2 mae 0.100 10.422612 14.098810
3 mae 0.150 12.277957 10.968051
4 mse 0.050 4.477453 19.994650
5 mse 0.075 6.136419 14.257711
6 mse 0.100 7.133228 11.506669
7 mse 0.150 9.657874 7.070959
Use GPU: cuda:0
train 18390
test 2299
Experiments will be saved in scratch/mimic_iii_Crossformer
test 2299
Loading model from scratch/mimic_iii_Crossformer/checkpoint.pth
explainers: ['integrated_gradients']
areas: [0.05, 0.075, 0.1, 0.15]
metrics: ['auc', 'accuracy', 'cross_entropy']

Interpreting with TSR enabled.
Running integrated_gradients from 2023-10-15 18:51:32.256573
0%| | 0/72 [00:00<?, ?it/s] 1%|▏ | 1/72 [00:18<21:24, 18.09s/it] 3%|▎ | 2/72 [00:35<20:54, 17.91s/it] 4%|▍ | 3/72 [00:53<20:28, 17.80s/it] 6%|▌ | 4/72 [01:11<20:10, 17.80s/it] 7%|▋ | 5/72 [01:29<19:52, 17.80s/it] 8%|▊ | 6/72 [01:46<19:32, 17.77s/it] 10%|▉ | 7/72 [02:04<19:11, 17.72s/it] 11%|█ | 8/72 [02:22<18:57, 17.78s/it] 12%|█▎ | 9/72 [02:40<18:40, 17.79s/it] 14%|█▍ | 10/72 [02:57<18:21, 17.76s/it] 15%|█▌ | 11/72 [03:15<18:01, 17.72s/it] 17%|█▋ | 12/72 [03:33<17:44, 17.74s/it] 18%|█▊ | 13/72 [03:51<17:26, 17.74s/it] 19%|█▉ | 14/72 [04:08<17:06, 17.69s/it] 21%|██ | 15/72 [04:26<16:48, 17.69s/it] 22%|██▏ | 16/72 [04:43<16:29, 17.66s/it] 24%|██▎ | 17/72 [05:01<16:09, 17.63s/it] 25%|██▌ | 18/72 [05:19<15:52, 17.63s/it] 26%|██▋ | 19/72 [05:36<15:35, 17.65s/it] 28%|██▊ | 20/72 [05:54<15:17, 17.64s/it] 29%|██▉ | 21/72 [06:12<14:59, 17.64s/it] 31%|███ | 22/72 [06:29<14:41, 17.64s/it] 32%|███▏ | 23/72 [06:47<14:23, 17.62s/it] 33%|███▎ | 24/72 [07:04<14:06, 17.64s/it] 35%|███▍ | 25/72 [07:22<13:48, 17.63s/it] 36%|███▌ | 26/72 [07:40<13:31, 17.64s/it] 38%|███▊ | 27/72 [07:57<13:13, 17.62s/it] 39%|███▉ | 28/72 [08:15<12:57, 17.68s/it] 40%|████ | 29/72 [08:33<12:40, 17.68s/it] 42%|████▏ | 30/72 [08:50<12:22, 17.67s/it] 43%|████▎ | 31/72 [09:08<12:04, 17.67s/it] 44%|████▍ | 32/72 [09:26<11:47, 17.68s/it] 46%|████▌ | 33/72 [09:44<11:29, 17.69s/it] 47%|████▋ | 34/72 [10:01<11:11, 17.66s/it] 49%|████▊ | 35/72 [10:19<10:53, 17.66s/it] 50%|█████ | 36/72 [10:36<10:35, 17.64s/it] 51%|█████▏ | 37/72 [10:54<10:17, 17.66s/it] 53%|█████▎ | 38/72 [11:12<10:00, 17.67s/it] 54%|█████▍ | 39/72 [11:29<09:42, 17.64s/it] 56%|█████▌ | 40/72 [11:47<09:25, 17.68s/it] 57%|█████▋ | 41/72 [12:05<09:08, 17.70s/it] 58%|█████▊ | 42/72 [12:23<08:50, 17.69s/it] 60%|█████▉ | 43/72 [12:40<08:31, 17.65s/it] 61%|██████ | 44/72 [12:58<08:16, 17.73s/it] 62%|██████▎ | 45/72 [13:16<08:02, 17.87s/it] 64%|██████▍ | 46/72 [13:34<07:47, 18.00s/it] 65%|██████▌ | 47/72 [13:53<07:31, 18.06s/it] 67%|██████▋ | 48/72 [14:11<07:14, 18.11s/it] 68%|██████▊ | 49/72 [14:29<06:58, 18.20s/it] 69%|██████▉ | 50/72 [14:47<06:40, 18.19s/it] 71%|███████ | 51/72 [15:06<06:21, 18.19s/it] 72%|███████▏ | 52/72 [15:24<06:03, 18.19s/it] 74%|███████▎ | 53/72 [15:42<05:46, 18.21s/it] 75%|███████▌ | 54/72 [16:00<05:27, 18.22s/it] 76%|███████▋ | 55/72 [16:19<05:09, 18.20s/it] 78%|███████▊ | 56/72 [16:37<04:51, 18.20s/it] 79%|███████▉ | 57/72 [16:55<04:32, 18.18s/it] 81%|████████ | 58/72 [17:13<04:14, 18.19s/it] 82%|████████▏ | 59/72 [17:32<03:58, 18.32s/it] 83%|████████▎ | 60/72 [17:50<03:39, 18.27s/it] 85%|████████▍ | 61/72 [18:08<03:20, 18.26s/it] 86%|████████▌ | 62/72 [18:26<03:02, 18.24s/it] 88%|████████▊ | 63/72 [18:45<02:44, 18.27s/it] 89%|████████▉ | 64/72 [19:03<02:25, 18.24s/it] 90%|█████████ | 65/72 [19:21<02:07, 18.23s/it] 92%|█████████▏| 66/72 [19:39<01:48, 18.11s/it] 93%|█████████▎| 67/72 [19:57<01:30, 18.02s/it] 94%|█████████▍| 68/72 [20:14<01:11, 17.93s/it] 96%|█████████▌| 69/72 [20:32<00:53, 17.90s/it] 97%|█████████▋| 70/72 [20:50<00:35, 17.86s/it] 99%|█████████▊| 71/72 [21:08<00:17, 17.86s/it]100%|██████████| 72/72 [21:25<00:00, 17.58s/it]100%|██████████| 72/72 [21:25<00:00, 17.85s/it]
Experiment ended at 2023-10-15 19:12:57.506471. Total time taken 0:21:25.249898.
metric area comp suff
0 accuracy 0.050 0.966065 0.973878
1 accuracy 0.075 0.966065 0.973444
2 accuracy 0.100 0.964329 0.972930
3 accuracy 0.150 0.963895 0.968236
4 auc 0.050 0.689442 0.696245
5 auc 0.075 0.656561 0.706679
6 auc 0.100 0.614436 0.715621
7 auc 0.150 0.551595 0.725575
8 cross_entropy 0.050 0.103766 0.115665
9 cross_entropy 0.075 0.114826 0.117350
10 cross_entropy 0.100 0.126829 0.117357
11 cross_entropy 0.150 0.141850 0.120929
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