Create pdb_structure_metrics.txt

pdb_structure_metrics.txt

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+--------------------------------------------------
+Train:
+--------------------------------------------------
+Processing rows: 100%|██████████| 54/54 [00:09<00:00,  5.83it/s]
+Dataset: GTP_Training.txt
+Accuracy: 0.9193
+Precision: 0.2000
+Recall: 0.4591
+F1 Score: 0.2786
+AUC: 0.6973
+MCC: 0.2666
+--------------------------------------------------
+Processing rows: 100%|██████████| 82/82 [00:06<00:00, 12.07it/s]
+Dataset: GDP_Training.txt
+Accuracy: 0.9127
+Precision: 0.2443
+Recall: 0.5586
+F1 Score: 0.3400
+AUC: 0.7431
+MCC: 0.3305
+--------------------------------------------------
+Processing rows: 100%|██████████| 172/172 [00:12<00:00, 14.15it/s]
+Dataset: FE_Training.txt
+Accuracy: 0.9225
+Precision: 0.0592
+Recall: 0.2592
+F1 Score: 0.0964
+AUC: 0.5962
+MCC: 0.0946
+--------------------------------------------------
+Processing rows: 100%|██████████| 145/145 [00:10<00:00, 14.23it/s]
+Dataset: AMP_Training.txt
+Accuracy: 0.9000
+Precision: 0.1379
+Recall: 0.3562
+F1 Score: 0.1988
+AUC: 0.6379
+MCC: 0.1767
+--------------------------------------------------
+Processing rows: 100%|██████████| 206/206 [00:16<00:00, 12.76it/s]
+Dataset: HEME_Training.txt
+Accuracy: 0.8829
+Precision: 0.1990
+Recall: 0.1482
+F1 Score: 0.1699
+AUC: 0.5478
+MCC: 0.1097
+--------------------------------------------------
+Processing rows: 100%|██████████| 221/221 [00:15<00:00, 13.86it/s]
+Dataset: ATP_Training.txt
+Accuracy: 0.9232
+Precision: 0.2370
+Recall: 0.4124
+F1 Score: 0.3010
+AUC: 0.6785
+MCC: 0.2749
+--------------------------------------------------
+Processing rows: 100%|██████████| 335/335 [00:24<00:00, 13.79it/s]
+Dataset: DNA_Training.txt
+Accuracy: 0.8784
+Precision: 0.1866
+Recall: 0.1382
+F1 Score: 0.1588
+AUC: 0.5418
+MCC: 0.0961
+--------------------------------------------------
+Processing rows: 100%|██████████| 296/296 [00:22<00:00, 13.25it/s]
+Dataset: ADP_Training.txt
+Accuracy: 0.9195
+Precision: 0.2168
+Recall: 0.4417
+F1 Score: 0.2908
+AUC: 0.6899
+MCC: 0.2716
+--------------------------------------------------
+Processing rows: 100%|██████████| 334/334 [00:25<00:00, 13.35it/s]
+Dataset: MN_Training.txt
+Accuracy: 0.9222
+Precision: 0.0587
+Recall: 0.3269
+F1 Score: 0.0995
+AUC: 0.6285
+MCC: 0.1124
+--------------------------------------------------
+Processing rows: 100%|██████████| 1152/1152 [01:25<00:00, 13.45it/s]
+Dataset: ZN_Training.txt
+Accuracy: 0.9192
+Precision: 0.0366
+Recall: 0.1773
+F1 Score: 0.0606
+AUC: 0.5538
+MCC: 0.0503
+--------------------------------------------------
+Processing rows: 100%|██████████| 1131/1131 [01:23<00:00, 13.47it/s]
+Dataset: MG_Training.txt
+Accuracy: 0.9192
+Precision: 0.0438
+Recall: 0.3083
+F1 Score: 0.0767
+AUC: 0.6171
+MCC: 0.0913
+--------------------------------------------------
+Processing rows: 100%|██████████| 961/961 [01:11<00:00, 13.36it/s]
+Dataset: CA_Training.txt
+Accuracy: 0.9095
+Precision: 0.0413
+Recall: 0.1976
+F1 Score: 0.0683
+AUC: 0.5596
+MCC: 0.0564
+--------------------------------------------------
+Test: 
+--------------------------------------------------
+Processing rows: 100%|██████████| 27/27 [00:03<00:00,  8.91it/s]
+Dataset: HEME_Validation.txt
+Accuracy: 0.9021
+Precision: 0.1515
+Recall: 0.1207
+F1 Score: 0.1344
+AUC: 0.5376
+MCC: 0.0838
+--------------------------------------------------
+Processing rows: 100%|██████████| 7/7 [00:01<00:00,  6.24it/s]
+Dataset: GTP_Validation.txt
+Accuracy: 0.9096
+Precision: 0.2412
+Recall: 0.4607
+F1 Score: 0.3166
+AUC: 0.6958
+MCC: 0.2897
+--------------------------------------------------
+Processing rows: 100%|██████████| 14/14 [00:01<00:00,  8.16it/s]
+Dataset: GDP_Validation.txt
+Accuracy: 0.9186
+Precision: 0.2846
+Recall: 0.5515
+F1 Score: 0.3754
+AUC: 0.7436
+MCC: 0.3578
+--------------------------------------------------
+Processing rows: 100%|██████████| 26/26 [00:02<00:00, 11.64it/s]
+Dataset: FE_Validation.txt
+Accuracy: 0.9383
+Precision: 0.0676
+Recall: 0.2917
+F1 Score: 0.1097
+AUC: 0.6193
+MCC: 0.1174
+--------------------------------------------------
+Processing rows: 100%|██████████| 58/58 [00:04<00:00, 13.79it/s]
+Dataset: MN_Validation.txt
+Accuracy: 0.9161
+Precision: 0.0542
+Recall: 0.3207
+F1 Score: 0.0927
+AUC: 0.6224
+MCC: 0.1042
+--------------------------------------------------
+Processing rows: 100%|██████████| 33/33 [00:02<00:00, 13.63it/s]
+Dataset: AMP_Validation.txt
+Accuracy: 0.9044
+Precision: 0.1682
+Recall: 0.4107
+F1 Score: 0.2387
+AUC: 0.6669
+MCC: 0.2197
+--------------------------------------------------
+Processing rows: 100%|██████████| 52/52 [00:04<00:00, 12.43it/s]
+Dataset: DNA_Validation.txt
+Accuracy: 0.9150
+Precision: 0.1609
+Recall: 0.1192
+F1 Score: 0.1370
+AUC: 0.5410
+MCC: 0.0944
+--------------------------------------------------
+Processing rows: 100%|██████████| 50/50 [00:03<00:00, 13.51it/s]
+Dataset: ATP_Validation.txt
+Accuracy: 0.9141
+Precision: 0.1873
+Recall: 0.3879
+F1 Score: 0.2526
+AUC: 0.6612
+MCC: 0.2289
+--------------------------------------------------
+Processing rows: 100%|██████████| 47/47 [00:03<00:00, 12.76it/s]
+Dataset: ADP_Validation.txt
+Accuracy: 0.9282
+Precision: 0.2120
+Recall: 0.4417
+F1 Score: 0.2865
+AUC: 0.6931
+MCC: 0.2727
+--------------------------------------------------
+Processing rows: 100%|██████████| 176/176 [00:13<00:00, 13.51it/s]
+Dataset: ZN_Validation.txt
+Accuracy: 0.9224
+Precision: 0.0418
+Recall: 0.1855
+F1 Score: 0.0682
+AUC: 0.5597
+MCC: 0.0582
+--------------------------------------------------
+Processing rows: 100%|██████████| 165/165 [00:12<00:00, 13.35it/s]
+Dataset: CA_Validation.txt
+Accuracy: 0.9146
+Precision: 0.0366
+Recall: 0.1949
+F1 Score: 0.0616
+AUC: 0.5600
+MCC: 0.0537
+--------------------------------------------------
+Processing rows: 100%|██████████| 217/217 [00:16<00:00, 13.36it/s]
+Dataset: MG_Validation.txt
+Accuracy: 0.9227
+Precision: 0.0370
+Recall: 0.2242
+F1 Score: 0.0635
+AUC: 0.5775
+MCC: 0.0650
+--------------------------------------------------