Create metrics_pdb_struct_data.txt

metrics_pdb_struct_data.txt

@@ -0,0 +1,221 @@
+--------------------------------------------------
+Train:
+--------------------------------------------------
+Processing rows: 100%|██████████| 54/54 [00:06<00:00,  8.08it/s]
+Dataset: GTP_Training.txt
+Accuracy: 0.8984
+Precision: 0.1736
+Recall: 0.5302
+F1 Score: 0.2616
+AUC: 0.7208
+MCC: 0.2623
+--------------------------------------------------
+Processing rows: 100%|██████████| 82/82 [00:05<00:00, 14.72it/s]
+Dataset: GDP_Training.txt
+Accuracy: 0.8901
+Precision: 0.2082
+Recall: 0.6167
+F1 Score: 0.3113
+AUC: 0.7591
+MCC: 0.3143
+--------------------------------------------------
+Processing rows: 100%|██████████| 172/172 [00:11<00:00, 15.43it/s]
+Dataset: FE_Training.txt
+Accuracy: 0.9044
+Precision: 0.0712
+Recall: 0.4144
+F1 Score: 0.1215
+AUC: 0.6634
+MCC: 0.1411
+--------------------------------------------------
+Processing rows: 100%|██████████| 145/145 [00:09<00:00, 14.95it/s]
+Dataset: AMP_Training.txt
+Accuracy: 0.8669
+Precision: 0.1271
+Recall: 0.4803
+F1 Score: 0.2010
+AUC: 0.6806
+MCC: 0.1959
+--------------------------------------------------
+Processing rows: 100%|██████████| 206/206 [00:13<00:00, 15.21it/s]
+Dataset: HEME_Training.txt
+Accuracy: 0.8628
+Precision: 0.1886
+Recall: 0.2107
+F1 Score: 0.1991
+AUC: 0.5655
+MCC: 0.1245
+--------------------------------------------------
+Processing rows: 100%|██████████| 221/221 [00:14<00:00, 14.86it/s]
+Dataset: ATP_Training.txt
+Accuracy: 0.9053
+Precision: 0.2092
+Recall: 0.4902
+F1 Score: 0.2933
+AUC: 0.7064
+MCC: 0.2776
+--------------------------------------------------
+Processing rows: 100%|██████████| 335/335 [00:22<00:00, 14.60it/s]
+Dataset: DNA_Training.txt
+Accuracy: 0.8656
+Precision: 0.2132
+Recall: 0.2298
+F1 Score: 0.2212
+AUC: 0.5765
+MCC: 0.1479
+--------------------------------------------------
+Processing rows: 100%|██████████| 296/296 [00:20<00:00, 14.27it/s]
+Dataset: ADP_Training.txt
+Accuracy: 0.9016
+Precision: 0.1936
+Recall: 0.5163
+F1 Score: 0.2816
+AUC: 0.7164
+MCC: 0.2741
+--------------------------------------------------
+Processing rows: 100%|██████████| 334/334 [00:23<00:00, 14.24it/s]
+Dataset: MN_Training.txt
+Accuracy: 0.8899
+Precision: 0.0622
+Recall: 0.5241
+F1 Score: 0.1112
+AUC: 0.7094
+MCC: 0.1520
+--------------------------------------------------
+Processing rows: 100%|██████████| 1152/1152 [01:20<00:00, 14.39it/s]
+Dataset: ZN_Training.txt
+Accuracy: 0.8883
+Precision: 0.0495
+Recall: 0.3622
+F1 Score: 0.0870
+AUC: 0.6291
+MCC: 0.1003
+--------------------------------------------------
+Processing rows: 100%|██████████| 1131/1131 [01:18<00:00, 14.37it/s]
+Dataset: MG_Training.txt
+Accuracy: 0.8897
+Precision: 0.0445
+Recall: 0.4459
+F1 Score: 0.0809
+AUC: 0.6702
+MCC: 0.1133
+--------------------------------------------------
+Processing rows: 100%|██████████| 961/961 [01:06<00:00, 14.48it/s]
+Dataset: CA_Training.txt
+Accuracy: 0.8775
+Precision: 0.0398
+Recall: 0.2723
+F1 Score: 0.0695
+AUC: 0.5801
+MCC: 0.0645
+--------------------------------------------------
+Test:
+--------------------------------------------------
+Processing rows: 100%|██████████| 27/27 [00:02<00:00, 10.47it/s]
+Dataset: HEME_Validation.txt
+Accuracy: 0.8649
+Precision: 0.1210
+Recall: 0.1828
+F1 Score: 0.1456
+AUC: 0.5468
+MCC: 0.0774
+--------------------------------------------------
+Processing rows: 100%|██████████| 7/7 [00:00<00:00, 10.06it/s]
+Dataset: GTP_Validation.txt
+Accuracy: 0.8835
+Precision: 0.2017
+Recall: 0.5281
+F1 Score: 0.2919
+AUC: 0.7143
+MCC: 0.2757
+--------------------------------------------------
+Processing rows: 100%|██████████| 14/14 [00:00<00:00, 15.12it/s]
+Dataset: GDP_Validation.txt
+Accuracy: 0.9063
+Precision: 0.2611
+Recall: 0.6082
+F1 Score: 0.3653
+AUC: 0.7642
+MCC: 0.3573
+--------------------------------------------------
+Processing rows: 100%|██████████| 26/26 [00:01<00:00, 15.09it/s]
+Dataset: FE_Validation.txt
+Accuracy: 0.9092
+Precision: 0.0697
+Recall: 0.4833
+F1 Score: 0.1218
+AUC: 0.6991
+MCC: 0.1575
+--------------------------------------------------
+Processing rows: 100%|██████████| 58/58 [00:04<00:00, 14.33it/s]
+Dataset: MN_Validation.txt
+Accuracy: 0.8924
+Precision: 0.0549
+Recall: 0.4346
+F1 Score: 0.0975
+AUC: 0.6666
+MCC: 0.1244
+--------------------------------------------------
+Processing rows: 100%|██████████| 33/33 [00:02<00:00, 14.29it/s]
+Dataset: AMP_Validation.txt
+Accuracy: 0.8800
+Precision: 0.1578
+Recall: 0.5281
+F1 Score: 0.2430
+AUC: 0.7107
+MCC: 0.2413
+--------------------------------------------------
+Processing rows: 100%|██████████| 52/52 [00:03<00:00, 14.22it/s]
+Dataset: DNA_Validation.txt
+Accuracy: 0.9038
+Precision: 0.1766
+Recall: 0.1912
+F1 Score: 0.1836
+AUC: 0.5689
+MCC: 0.1327
+--------------------------------------------------
+Processing rows: 100%|██████████| 50/50 [00:03<00:00, 14.58it/s]
+Dataset: ATP_Validation.txt
+Accuracy: 0.8940
+Precision: 0.1770
+Recall: 0.5023
+F1 Score: 0.2618
+AUC: 0.7058
+MCC: 0.2535
+--------------------------------------------------
+Processing rows: 100%|██████████| 47/47 [00:03<00:00, 12.96it/s]
+Dataset: ADP_Validation.txt
+Accuracy: 0.9054
+Precision: 0.1709
+Recall: 0.4927
+F1 Score: 0.2538
+AUC: 0.7060
+MCC: 0.2507
+--------------------------------------------------
+Processing rows: 100%|██████████| 176/176 [00:12<00:00, 14.63it/s]
+Dataset: ZN_Validation.txt
+Accuracy: 0.8929
+Precision: 0.0535
+Recall: 0.3589
+F1 Score: 0.0931
+AUC: 0.6300
+MCC: 0.1052
+--------------------------------------------------
+Processing rows: 100%|██████████| 165/165 [00:11<00:00, 14.31it/s]
+Dataset: CA_Validation.txt
+Accuracy: 0.8888
+Precision: 0.0375
+Recall: 0.2726
+F1 Score: 0.0659
+AUC: 0.5852
+MCC: 0.0663
+--------------------------------------------------
+Processing rows: 100%|██████████| 217/217 [00:15<00:00, 14.25it/s]
+Dataset: MG_Validation.txt
+Accuracy: 0.8983
+Precision: 0.0391
+Recall: 0.3263
+F1 Score: 0.0698
+AUC: 0.6157
+MCC: 0.0838
+--------------------------------------------------