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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 -------------------------------------------------- |