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-------------------------------------------------- Train: -------------------------------------------------- Processing rows: 100%|██████████| 54/54 [00:07<00:00, 7.48it/s] Dataset: GTP_Training.txt Accuracy: 0.8916 Precision: 0.1529 Recall: 0.4832 F1 Score: 0.2323 AUC: 0.6946 MCC: 0.2278 -------------------------------------------------- Processing rows: 100%|██████████| 82/82 [00:05<00:00, 15.42it/s] Dataset: GDP_Training.txt Accuracy: 0.8877 Precision: 0.1964 Recall: 0.5786 F1 Score: 0.2932 AUC: 0.7396 MCC: 0.2913 -------------------------------------------------- Processing rows: 100%|██████████| 172/172 [00:11<00:00, 14.48it/s] Dataset: FE_Training.txt Accuracy: 0.9120 Precision: 0.0589 Recall: 0.3020 F1 Score: 0.0986 AUC: 0.6119 MCC: 0.1024 -------------------------------------------------- Processing rows: 100%|██████████| 145/145 [00:09<00:00, 15.26it/s] Dataset: AMP_Training.txt Accuracy: 0.8750 Precision: 0.1273 Recall: 0.4417 F1 Score: 0.1976 AUC: 0.6662 MCC: 0.1869 -------------------------------------------------- Processing rows: 100%|██████████| 206/206 [00:13<00:00, 15.22it/s] Dataset: HEME_Training.txt Accuracy: 0.8543 Precision: 0.1687 Recall: 0.2041 F1 Score: 0.1847 AUC: 0.5578 MCC: 0.1061 -------------------------------------------------- Processing rows: 100%|██████████| 221/221 [00:14<00:00, 14.95it/s] Dataset: ATP_Training.txt Accuracy: 0.9036 Precision: 0.2036 Recall: 0.4820 F1 Score: 0.2862 AUC: 0.7016 MCC: 0.2699 -------------------------------------------------- Processing rows: 100%|██████████| 335/335 [00:22<00:00, 14.89it/s] Dataset: DNA_Training.txt Accuracy: 0.8617 Precision: 0.2001 Recall: 0.2221 F1 Score: 0.2105 AUC: 0.5708 MCC: 0.1352 -------------------------------------------------- Processing rows: 100%|██████████| 296/296 [00:19<00:00, 14.81it/s] Dataset: ADP_Training.txt Accuracy: 0.8986 Precision: 0.1853 Recall: 0.5043 F1 Score: 0.2710 AUC: 0.7091 MCC: 0.2624 -------------------------------------------------- Processing rows: 100%|██████████| 334/334 [00:22<00:00, 14.55it/s] Dataset: MN_Training.txt Accuracy: 0.8967 Precision: 0.0513 Recall: 0.3924 F1 Score: 0.0908 AUC: 0.6479 MCC: 0.1120 -------------------------------------------------- Processing rows: 100%|██████████| 1152/1152 [01:18<00:00, 14.63it/s] Dataset: ZN_Training.txt Accuracy: 0.8895 Precision: 0.0379 Recall: 0.2672 F1 Score: 0.0664 AUC: 0.5830 MCC: 0.0656 -------------------------------------------------- Processing rows: 100%|██████████| 1131/1131 [01:17<00:00, 14.53it/s] Dataset: MG_Training.txt Accuracy: 0.8917 Precision: 0.0400 Recall: 0.3891 F1 Score: 0.0725 AUC: 0.6432 MCC: 0.0966 -------------------------------------------------- Processing rows: 100%|██████████| 961/961 [01:07<00:00, 14.34it/s] Dataset: CA_Training.txt Accuracy: 0.8679 Precision: 0.0364 Recall: 0.2696 F1 Score: 0.0641 AUC: 0.5739 MCC: 0.0575 -------------------------------------------------- Test: -------------------------------------------------- Processing rows: 100%|██████████| 27/27 [00:02<00:00, 10.82it/s] Dataset: HEME_Validation.txt Accuracy: 0.8870 Precision: 0.1404 Recall: 0.1552 F1 Score: 0.1474 AUC: 0.5457 MCC: 0.0872 -------------------------------------------------- Processing rows: 100%|██████████| 7/7 [00:00<00:00, 11.90it/s] Dataset: GTP_Validation.txt Accuracy: 0.8876 Precision: 0.2089 Recall: 0.5281 F1 Score: 0.2994 AUC: 0.7164 MCC: 0.2827 -------------------------------------------------- Processing rows: 100%|██████████| 14/14 [00:01<00:00, 12.60it/s] Dataset: GDP_Validation.txt Accuracy: 0.9037 Precision: 0.2527 Recall: 0.5979 F1 Score: 0.3553 AUC: 0.7579 MCC: 0.3466 -------------------------------------------------- Processing rows: 100%|██████████| 26/26 [00:02<00:00, 12.02it/s] Dataset: FE_Validation.txt Accuracy: 0.9234 Precision: 0.0534 Recall: 0.2917 F1 Score: 0.0902 AUC: 0.6117 MCC: 0.0985 -------------------------------------------------- Processing rows: 100%|██████████| 58/58 [00:03<00:00, 14.83it/s] Dataset: MN_Validation.txt Accuracy: 0.8874 Precision: 0.0403 Recall: 0.3249 F1 Score: 0.0716 AUC: 0.6099 MCC: 0.0814 -------------------------------------------------- Processing rows: 100%|██████████| 33/33 [00:02<00:00, 14.97it/s] Dataset: AMP_Validation.txt Accuracy: 0.8841 Precision: 0.1579 Recall: 0.5026 F1 Score: 0.2402 AUC: 0.7005 MCC: 0.2347 -------------------------------------------------- Processing rows: 100%|██████████| 52/52 [00:03<00:00, 13.76it/s] Dataset: DNA_Validation.txt Accuracy: 0.8998 Precision: 0.1469 Recall: 0.1603 F1 Score: 0.1533 AUC: 0.5522 MCC: 0.1003 -------------------------------------------------- Processing rows: 100%|██████████| 50/50 [00:03<00:00, 15.05it/s] Dataset: ATP_Validation.txt Accuracy: 0.8946 Precision: 0.1622 Recall: 0.4359 F1 Score: 0.2364 AUC: 0.6741 MCC: 0.2198 -------------------------------------------------- Processing rows: 100%|██████████| 47/47 [00:03<00:00, 14.05it/s] Dataset: ADP_Validation.txt Accuracy: 0.9076 Precision: 0.1730 Recall: 0.4840 F1 Score: 0.2549 AUC: 0.7029 MCC: 0.2504 -------------------------------------------------- Processing rows: 100%|██████████| 176/176 [00:12<00:00, 14.42it/s] Dataset: ZN_Validation.txt Accuracy: 0.8951 Precision: 0.0419 Recall: 0.2675 F1 Score: 0.0724 AUC: 0.5862 MCC: 0.0713 -------------------------------------------------- Processing rows: 100%|██████████| 165/165 [00:11<00:00, 14.92it/s] Dataset: CA_Validation.txt Accuracy: 0.8850 Precision: 0.0352 Recall: 0.2650 F1 Score: 0.0622 AUC: 0.5795 MCC: 0.0609 -------------------------------------------------- Processing rows: 100%|██████████| 217/217 [00:14<00:00, 14.61it/s] Dataset: MG_Validation.txt Accuracy: 0.8980 Precision: 0.0339 Recall: 0.2805 F1 Score: 0.0605 AUC: 0.5929 MCC: 0.0676 -------------------------------------------------- |