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