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