Update README.md

README.md

@@ -63,6 +63,117 @@ Test metrics:
 'eval_mcc': 0.2535956911257298}
 ```
 
+```python
+--------------------------------------------------
+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
+```
+
 ### Checkpoint 4
 
 ```python