Create pdb_struct_metrics.txt

pdb_struct_metrics.txt

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+--------------------------------------------------
+Train:
+--------------------------------------------------
+Processing rows: 100%|██████████| 54/54 [00:04<00:00, 11.49it/s]
+Dataset: GTP_Training.txt
+Accuracy: 0.8777
+Precision: 0.1488
+Recall: 0.5517
+F1 Score: 0.2344
+AUC: 0.7204
+MCC: 0.2407
+--------------------------------------------------
+Processing rows: 100%|██████████| 82/82 [00:02<00:00, 32.07it/s]
+Dataset: GDP_Training.txt
+Accuracy: 0.8711
+Precision: 0.1768
+Recall: 0.6022
+F1 Score: 0.2733
+AUC: 0.7423
+MCC: 0.2768
+--------------------------------------------------
+Processing rows: 100%|██████████| 172/172 [00:06<00:00, 27.98it/s]
+Dataset: FE_Training.txt
+Accuracy: 0.8424
+Precision: 0.0547
+Recall: 0.5452
+F1 Score: 0.0994
+AUC: 0.6962
+MCC: 0.1344
+--------------------------------------------------
+Processing rows: 100%|██████████| 145/145 [00:04<00:00, 33.86it/s]
+Dataset: AMP_Training.txt
+Accuracy: 0.8191
+Precision: 0.0975
+Recall: 0.5078
+F1 Score: 0.1636
+AUC: 0.6691
+MCC: 0.1609
+--------------------------------------------------
+Processing rows: 100%|██████████| 206/206 [00:05<00:00, 34.97it/s]
+Dataset: HEME_Training.txt
+Accuracy: 0.8561
+Precision: 0.2089
+Recall: 0.2795
+F1 Score: 0.2391
+AUC: 0.5932
+MCC: 0.1636
+--------------------------------------------------
+Processing rows: 100%|██████████| 221/221 [00:06<00:00, 31.64it/s]
+Dataset: ATP_Training.txt
+Accuracy: 0.8631
+Precision: 0.1459
+Recall: 0.4975
+F1 Score: 0.2256
+AUC: 0.6879
+MCC: 0.2146
+--------------------------------------------------
+Processing rows: 100%|██████████| 335/335 [00:10<00:00, 33.49it/s]
+Dataset: DNA_Training.txt
+Accuracy: 0.8387
+Precision: 0.1608
+Recall: 0.2233
+F1 Score: 0.1870
+AUC: 0.5589
+MCC: 0.1017
+--------------------------------------------------
+Processing rows: 100%|██████████| 296/296 [00:08<00:00, 32.99it/s]
+Dataset: ADP_Training.txt
+Accuracy: 0.8653
+Precision: 0.1415
+Recall: 0.5142
+F1 Score: 0.2219
+AUC: 0.6966
+MCC: 0.2176
+--------------------------------------------------
+Processing rows: 100%|██████████| 334/334 [00:10<00:00, 31.30it/s]
+Dataset: MN_Training.txt
+Accuracy: 0.8507
+Precision: 0.0488
+Recall: 0.5602
+F1 Score: 0.0898
+AUC: 0.7074
+MCC: 0.1320
+--------------------------------------------------
+Processing rows: 100%|██████████| 1152/1152 [00:36<00:00, 31.70it/s]
+Dataset: ZN_Training.txt
+Accuracy: 0.8418
+Precision: 0.0437
+Recall: 0.4674
+F1 Score: 0.0799
+AUC: 0.6574
+MCC: 0.1041
+--------------------------------------------------
+Processing rows: 100%|██████████| 1131/1131 [00:35<00:00, 31.87it/s]
+Dataset: MG_Training.txt
+Accuracy: 0.8454
+Precision: 0.0327
+Recall: 0.4617
+F1 Score: 0.0611
+AUC: 0.6556
+MCC: 0.0896
+--------------------------------------------------
+Processing rows: 100%|██████████| 961/961 [00:30<00:00, 31.67it/s]
+Dataset: CA_Training.txt
+Accuracy: 0.8524
+Precision: 0.0251
+Recall: 0.2057
+F1 Score: 0.0447
+AUC: 0.5346
+MCC: 0.0258
+--------------------------------------------------
+Test:
+--------------------------------------------------
+Processing rows: 100%|██████████| 27/27 [00:01<00:00, 26.47it/s]
+Dataset: HEME_Validation.txt
+Accuracy: 0.8891
+Precision: 0.2125
+Recall: 0.2810
+F1 Score: 0.2420
+AUC: 0.6055
+MCC: 0.1855
+--------------------------------------------------
+Processing rows: 100%|██████████| 7/7 [00:00<00:00, 20.36it/s]
+Dataset: GTP_Validation.txt
+Accuracy: 0.8012
+Precision: 0.1377
+Recall: 0.6404
+F1 Score: 0.2266
+AUC: 0.7247
+MCC: 0.2292
+--------------------------------------------------
+Processing rows: 100%|██████████| 14/14 [00:00<00:00, 17.96it/s]
+Dataset: GDP_Validation.txt
+Accuracy: 0.7954
+Precision: 0.1456
+Recall: 0.7423
+F1 Score: 0.2434
+AUC: 0.7701
+MCC: 0.2658
+--------------------------------------------------
+Processing rows: 100%|██████████| 26/26 [00:00<00:00, 27.91it/s]
+Dataset: FE_Validation.txt
+Accuracy: 0.8523
+Precision: 0.0571
+Recall: 0.6667
+F1 Score: 0.1052
+AUC: 0.7607
+MCC: 0.1646
+--------------------------------------------------
+Processing rows: 100%|██████████| 58/58 [00:01<00:00, 30.49it/s]
+Dataset: MN_Validation.txt
+Accuracy: 0.8445
+Precision: 0.0458
+Recall: 0.5359
+F1 Score: 0.0844
+AUC: 0.6923
+MCC: 0.1216
+--------------------------------------------------
+Processing rows: 100%|██████████| 33/33 [00:00<00:00, 34.34it/s]
+Dataset: AMP_Validation.txt
+Accuracy: 0.8116
+Precision: 0.1065
+Recall: 0.5638
+F1 Score: 0.1792
+AUC: 0.6924
+MCC: 0.1827
+--------------------------------------------------
+Processing rows: 100%|██████████| 52/52 [00:01<00:00, 32.70it/s]
+Dataset: DNA_Validation.txt
+Accuracy: 0.8849
+Precision: 0.1306
+Recall: 0.1829
+F1 Score: 0.1524
+AUC: 0.5550
+MCC: 0.0940
+--------------------------------------------------
+Processing rows: 100%|██████████| 50/50 [00:01<00:00, 33.79it/s]
+Dataset: ATP_Validation.txt
+Accuracy: 0.8497
+Precision: 0.1220
+Recall: 0.4869
+F1 Score: 0.1952
+AUC: 0.6753
+MCC: 0.1868
+--------------------------------------------------
+Processing rows: 100%|██████████| 47/47 [00:01<00:00, 31.43it/s]
+Dataset: ADP_Validation.txt
+Accuracy: 0.8652
+Precision: 0.1279
+Recall: 0.5379
+F1 Score: 0.2067
+AUC: 0.7071
+MCC: 0.2139
+--------------------------------------------------
+Processing rows: 100%|██████████| 176/176 [00:05<00:00, 32.21it/s]
+Dataset: ZN_Validation.txt
+Accuracy: 0.8486
+Precision: 0.0461
+Recall: 0.4516
+F1 Score: 0.0837
+AUC: 0.6532
+MCC: 0.1054
+--------------------------------------------------
+Processing rows: 100%|██████████| 165/165 [00:05<00:00, 32.32it/s]
+Dataset: CA_Validation.txt
+Accuracy: 0.8577
+Precision: 0.0263
+Recall: 0.2471
+F1 Score: 0.0476
+AUC: 0.5568
+MCC: 0.0396
+--------------------------------------------------
+Processing rows: 100%|██████████| 217/217 [00:06<00:00, 33.25it/s]
+Dataset: MG_Validation.txt
+Accuracy: 0.8572
+Precision: 0.0297
+Recall: 0.3533
+F1 Score: 0.0547
+AUC: 0.6082
+MCC: 0.0672
+--------------------------------------------------