Create pdb_structure_metrics.txt

pdb_structure_metrics.txt

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+--------------------------------------------------
+Train:
+--------------------------------------------------
+Processing rows: 100%|██████████| 54/54 [00:01<00:00, 30.06it/s]
+Dataset: GTP_Training.txt
+Accuracy: 0.8374
+Precision: 0.1140
+Recall: 0.5597
+F1 Score: 0.1895
+AUC: 0.7035
+MCC: 0.1978
+--------------------------------------------------
+Processing rows: 100%|██████████| 82/82 [00:02<00:00, 31.59it/s]
+Dataset: GDP_Training.txt
+Accuracy: 0.8472
+Precision: 0.1575
+Recall: 0.6431
+F1 Score: 0.2531
+AUC: 0.7494
+MCC: 0.2646
+--------------------------------------------------
+Processing rows: 100%|██████████| 172/172 [00:06<00:00, 27.80it/s]
+Dataset: FE_Training.txt
+Accuracy: 0.8128
+Precision: 0.0484
+Recall: 0.5746
+F1 Score: 0.0892
+AUC: 0.6956
+MCC: 0.1251
+--------------------------------------------------
+Processing rows: 100%|██████████| 145/145 [00:04<00:00, 31.05it/s]
+Dataset: AMP_Training.txt
+Accuracy: 0.7763
+Precision: 0.0866
+Recall: 0.5677
+F1 Score: 0.1503
+AUC: 0.6757
+MCC: 0.1535
+--------------------------------------------------
+Processing rows: 100%|██████████| 206/206 [00:06<00:00, 33.85it/s]
+Dataset: HEME_Training.txt
+Accuracy: 0.8367
+Precision: 0.1929
+Recall: 0.3199
+F1 Score: 0.2407
+AUC: 0.6010
+MCC: 0.1617
+--------------------------------------------------
+Processing rows: 100%|██████████| 221/221 [00:07<00:00, 30.42it/s]
+Dataset: ATP_Training.txt
+Accuracy: 0.8307
+Precision: 0.1222
+Recall: 0.5210
+F1 Score: 0.1980
+AUC: 0.6823
+MCC: 0.1900
+--------------------------------------------------
+Processing rows: 100%|██████████| 335/335 [00:09<00:00, 33.92it/s]
+Dataset: DNA_Training.txt
+Accuracy: 0.8127
+Precision: 0.1491
+Recall: 0.2667
+F1 Score: 0.1913
+AUC: 0.5644
+MCC: 0.1000
+--------------------------------------------------
+Processing rows: 100%|██████████| 296/296 [00:09<00:00, 31.41it/s]
+Dataset: ADP_Training.txt
+Accuracy: 0.8433
+Precision: 0.1269
+Recall: 0.5432
+F1 Score: 0.2058
+AUC: 0.6991
+MCC: 0.2060
+--------------------------------------------------
+Processing rows: 100%|██████████| 334/334 [00:10<00:00, 31.05it/s]
+Dataset: MN_Training.txt
+Accuracy: 0.8098
+Precision: 0.0407
+Recall: 0.5969
+F1 Score: 0.0762
+AUC: 0.7048
+MCC: 0.1182
+--------------------------------------------------
+Processing rows: 100%|██████████| 1152/1152 [00:35<00:00, 32.45it/s]
+Dataset: ZN_Training.txt
+Accuracy: 0.8071
+Precision: 0.0371
+Recall: 0.4854
+F1 Score: 0.0689
+AUC: 0.6487
+MCC: 0.0908
+--------------------------------------------------
+Processing rows: 100%|██████████| 1131/1131 [00:35<00:00, 32.23it/s]
+Dataset: MG_Training.txt
+Accuracy: 0.8084
+Precision: 0.0282
+Recall: 0.4953
+F1 Score: 0.0533
+AUC: 0.6536
+MCC: 0.0810
+--------------------------------------------------
+Processing rows: 100%|██████████| 961/961 [00:31<00:00, 30.97it/s]
+Dataset: CA_Training.txt
+Accuracy: 0.8180
+Precision: 0.0254
+Recall: 0.2637
+F1 Score: 0.0464
+AUC: 0.5456
+MCC: 0.0309
+--------------------------------------------------
+Test:
+--------------------------------------------------
+Processing rows: 100%|██████████| 27/27 [00:01<00:00, 17.65it/s]
+Dataset: HEME_Validation.txt
+Accuracy: 0.8702
+Precision: 0.1827
+Recall: 0.3052
+F1 Score: 0.2285
+AUC: 0.6067
+MCC: 0.1690
+--------------------------------------------------
+Processing rows: 100%|██████████| 7/7 [00:00<00:00, 18.53it/s]
+Dataset: GTP_Validation.txt
+Accuracy: 0.7665
+Precision: 0.1198
+Recall: 0.6517
+F1 Score: 0.2024
+AUC: 0.7118
+MCC: 0.2046
+--------------------------------------------------
+Processing rows: 100%|██████████| 14/14 [00:00<00:00, 19.74it/s]
+Dataset: GDP_Validation.txt
+Accuracy: 0.7885
+Precision: 0.1469
+Recall: 0.7835
+F1 Score: 0.2474
+AUC: 0.7861
+MCC: 0.2772
+--------------------------------------------------
+Processing rows: 100%|██████████| 26/26 [00:01<00:00, 21.77it/s]
+Dataset: FE_Validation.txt
+Accuracy: 0.8219
+Precision: 0.0443
+Recall: 0.6167
+F1 Score: 0.0827
+AUC: 0.7206
+MCC: 0.1299
+--------------------------------------------------
+Processing rows: 100%|██████████| 58/58 [00:01<00:00, 29.45it/s]
+Dataset: MN_Validation.txt
+Accuracy: 0.8022
+Precision: 0.0376
+Recall: 0.5612
+F1 Score: 0.0705
+AUC: 0.6833
+MCC: 0.1054
+--------------------------------------------------
+Processing rows: 100%|██████████| 33/33 [00:01<00:00, 22.77it/s]
+Dataset: AMP_Validation.txt
+Accuracy: 0.7724
+Precision: 0.0941
+Recall: 0.6071
+F1 Score: 0.1629
+AUC: 0.6929
+MCC: 0.1705
+--------------------------------------------------
+Processing rows: 100%|██████████| 52/52 [00:02<00:00, 22.27it/s]
+Dataset: DNA_Validation.txt
+Accuracy: 0.8643
+Precision: 0.1184
+Recall: 0.2169
+F1 Score: 0.1532
+AUC: 0.5600
+MCC: 0.0910
+--------------------------------------------------
+Processing rows: 100%|██████████| 50/50 [00:01<00:00, 33.31it/s]
+Dataset: ATP_Validation.txt
+Accuracy: 0.8333
+Precision: 0.1174
+Recall: 0.5301
+F1 Score: 0.1923
+AUC: 0.6876
+MCC: 0.1900
+--------------------------------------------------
+Processing rows: 100%|██████████| 47/47 [00:01<00:00, 31.10it/s]
+Dataset: ADP_Validation.txt
+Accuracy: 0.8338
+Precision: 0.1048
+Recall: 0.5423
+F1 Score: 0.1756
+AUC: 0.6929
+MCC: 0.1830
+--------------------------------------------------
+Processing rows: 100%|██████████| 176/176 [00:05<00:00, 30.12it/s]
+Dataset: ZN_Validation.txt
+Accuracy: 0.8164
+Precision: 0.0383
+Recall: 0.4556
+F1 Score: 0.0706
+AUC: 0.6388
+MCC: 0.0883
+--------------------------------------------------
+Processing rows: 100%|██████████| 165/165 [00:05<00:00, 31.37it/s]
+Dataset: CA_Validation.txt
+Accuracy: 0.8251
+Precision: 0.0248
+Recall: 0.2917
+F1 Score: 0.0458
+AUC: 0.5623
+MCC: 0.0396
+--------------------------------------------------
+Processing rows: 100%|██████████| 217/217 [00:07<00:00, 29.72it/s]
+Dataset: MG_Validation.txt
+Accuracy: 0.8223
+Precision: 0.0249
+Recall: 0.3721
+F1 Score: 0.0467
+AUC: 0.5998
+MCC: 0.0565
+--------------------------------------------------