AmelieSchreiber
commited on
Commit
β’
c35920c
1
Parent(s):
46a613d
Create pdb_struct_metrics.txt
Browse files- pdb_struct_metrics.txt +221 -0
pdb_struct_metrics.txt
ADDED
@@ -0,0 +1,221 @@
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1 |
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--------------------------------------------------
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Train:
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--------------------------------------------------
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Processing rows: 100%|ββββββββββ| 54/54 [00:07<00:00, 7.48it/s]
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Dataset: GTP_Training.txt
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Accuracy: 0.8916
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Precision: 0.1529
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Recall: 0.4832
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F1 Score: 0.2323
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AUC: 0.6946
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MCC: 0.2278
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--------------------------------------------------
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Processing rows: 100%|ββββββββββ| 82/82 [00:05<00:00, 15.42it/s]
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Dataset: GDP_Training.txt
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Accuracy: 0.8877
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Precision: 0.1964
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Recall: 0.5786
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F1 Score: 0.2932
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AUC: 0.7396
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MCC: 0.2913
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--------------------------------------------------
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Processing rows: 100%|ββββββββββ| 172/172 [00:11<00:00, 14.48it/s]
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Dataset: FE_Training.txt
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Accuracy: 0.9120
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Precision: 0.0589
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Recall: 0.3020
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F1 Score: 0.0986
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AUC: 0.6119
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MCC: 0.1024
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--------------------------------------------------
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Processing rows: 100%|ββββββββββ| 145/145 [00:09<00:00, 15.26it/s]
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Dataset: AMP_Training.txt
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Accuracy: 0.8750
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Precision: 0.1273
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Recall: 0.4417
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F1 Score: 0.1976
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AUC: 0.6662
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MCC: 0.1869
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--------------------------------------------------
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Processing rows: 100%|ββββββββββ| 206/206 [00:13<00:00, 15.22it/s]
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Dataset: HEME_Training.txt
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Accuracy: 0.8543
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Precision: 0.1687
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Recall: 0.2041
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F1 Score: 0.1847
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AUC: 0.5578
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MCC: 0.1061
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--------------------------------------------------
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Processing rows: 100%|ββββββββββ| 221/221 [00:14<00:00, 14.95it/s]
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Dataset: ATP_Training.txt
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Accuracy: 0.9036
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Precision: 0.2036
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Recall: 0.4820
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F1 Score: 0.2862
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AUC: 0.7016
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MCC: 0.2699
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--------------------------------------------------
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Processing rows: 100%|ββββββββββ| 335/335 [00:22<00:00, 14.89it/s]
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Dataset: DNA_Training.txt
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Accuracy: 0.8617
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Precision: 0.2001
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Recall: 0.2221
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F1 Score: 0.2105
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AUC: 0.5708
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MCC: 0.1352
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--------------------------------------------------
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Processing rows: 100%|ββββββββββ| 296/296 [00:19<00:00, 14.81it/s]
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Dataset: ADP_Training.txt
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Accuracy: 0.8986
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Precision: 0.1853
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Recall: 0.5043
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F1 Score: 0.2710
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AUC: 0.7091
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MCC: 0.2624
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--------------------------------------------------
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Processing rows: 100%|ββββββββββ| 334/334 [00:22<00:00, 14.55it/s]
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Dataset: MN_Training.txt
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Accuracy: 0.8967
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Precision: 0.0513
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Recall: 0.3924
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F1 Score: 0.0908
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AUC: 0.6479
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MCC: 0.1120
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--------------------------------------------------
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Processing rows: 100%|ββββββββββ| 1152/1152 [01:18<00:00, 14.63it/s]
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Dataset: ZN_Training.txt
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Accuracy: 0.8895
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Precision: 0.0379
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Recall: 0.2672
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F1 Score: 0.0664
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AUC: 0.5830
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MCC: 0.0656
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--------------------------------------------------
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Processing rows: 100%|ββββββββββ| 1131/1131 [01:17<00:00, 14.53it/s]
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Dataset: MG_Training.txt
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Accuracy: 0.8917
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Precision: 0.0400
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Recall: 0.3891
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F1 Score: 0.0725
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AUC: 0.6432
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MCC: 0.0966
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--------------------------------------------------
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Processing rows: 100%|ββββββββββ| 961/961 [01:07<00:00, 14.34it/s]
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Dataset: CA_Training.txt
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Accuracy: 0.8679
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Precision: 0.0364
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Recall: 0.2696
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F1 Score: 0.0641
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AUC: 0.5739
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MCC: 0.0575
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--------------------------------------------------
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Test:
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--------------------------------------------------
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Processing rows: 100%|ββββββββββ| 27/27 [00:02<00:00, 10.82it/s]
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Dataset: HEME_Validation.txt
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Accuracy: 0.8870
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Precision: 0.1404
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Recall: 0.1552
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F1 Score: 0.1474
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AUC: 0.5457
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MCC: 0.0872
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--------------------------------------------------
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Processing rows: 100%|ββββββββββ| 7/7 [00:00<00:00, 11.90it/s]
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Dataset: GTP_Validation.txt
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Accuracy: 0.8876
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Precision: 0.2089
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Recall: 0.5281
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F1 Score: 0.2994
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AUC: 0.7164
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MCC: 0.2827
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--------------------------------------------------
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Processing rows: 100%|ββββββββββ| 14/14 [00:01<00:00, 12.60it/s]
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Dataset: GDP_Validation.txt
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Accuracy: 0.9037
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Precision: 0.2527
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Recall: 0.5979
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F1 Score: 0.3553
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AUC: 0.7579
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MCC: 0.3466
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--------------------------------------------------
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Processing rows: 100%|ββββββββββ| 26/26 [00:02<00:00, 12.02it/s]
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Dataset: FE_Validation.txt
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Accuracy: 0.9234
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Precision: 0.0534
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Recall: 0.2917
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F1 Score: 0.0902
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AUC: 0.6117
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MCC: 0.0985
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--------------------------------------------------
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Processing rows: 100%|ββββββββββ| 58/58 [00:03<00:00, 14.83it/s]
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Dataset: MN_Validation.txt
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Accuracy: 0.8874
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Precision: 0.0403
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Recall: 0.3249
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F1 Score: 0.0716
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AUC: 0.6099
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MCC: 0.0814
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--------------------------------------------------
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Processing rows: 100%|ββββββββββ| 33/33 [00:02<00:00, 14.97it/s]
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Dataset: AMP_Validation.txt
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Accuracy: 0.8841
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Precision: 0.1579
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Recall: 0.5026
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F1 Score: 0.2402
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AUC: 0.7005
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MCC: 0.2347
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--------------------------------------------------
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Processing rows: 100%|ββββββββββ| 52/52 [00:03<00:00, 13.76it/s]
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Dataset: DNA_Validation.txt
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Accuracy: 0.8998
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Precision: 0.1469
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Recall: 0.1603
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F1 Score: 0.1533
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AUC: 0.5522
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MCC: 0.1003
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--------------------------------------------------
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Processing rows: 100%|ββββββββββ| 50/50 [00:03<00:00, 15.05it/s]
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Dataset: ATP_Validation.txt
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Accuracy: 0.8946
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Precision: 0.1622
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Recall: 0.4359
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F1 Score: 0.2364
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AUC: 0.6741
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MCC: 0.2198
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--------------------------------------------------
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Processing rows: 100%|ββββββββββ| 47/47 [00:03<00:00, 14.05it/s]
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Dataset: ADP_Validation.txt
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Accuracy: 0.9076
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Precision: 0.1730
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Recall: 0.4840
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F1 Score: 0.2549
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AUC: 0.7029
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MCC: 0.2504
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--------------------------------------------------
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Processing rows: 100%|ββββββββββ| 176/176 [00:12<00:00, 14.42it/s]
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Dataset: ZN_Validation.txt
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Accuracy: 0.8951
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Precision: 0.0419
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Recall: 0.2675
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F1 Score: 0.0724
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AUC: 0.5862
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MCC: 0.0713
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--------------------------------------------------
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Processing rows: 100%|ββββββββββ| 165/165 [00:11<00:00, 14.92it/s]
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Dataset: CA_Validation.txt
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Accuracy: 0.8850
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Precision: 0.0352
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Recall: 0.2650
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F1 Score: 0.0622
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AUC: 0.5795
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MCC: 0.0609
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--------------------------------------------------
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Processing rows: 100%|ββββββββββ| 217/217 [00:14<00:00, 14.61it/s]
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Dataset: MG_Validation.txt
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Accuracy: 0.8980
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Precision: 0.0339
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Recall: 0.2805
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F1 Score: 0.0605
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AUC: 0.5929
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MCC: 0.0676
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--------------------------------------------------
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