| { | |
| "loss": 0.367212524797651, | |
| "accuracy": 0.888, | |
| "macro_f1": 0.8759217243335224, | |
| "labels": [ | |
| "authentication_identity", | |
| "unrelated" | |
| ], | |
| "precision": [ | |
| 0.8, | |
| 0.9375 | |
| ], | |
| "recall": [ | |
| 0.8780487804878049, | |
| 0.8928571428571429 | |
| ], | |
| "f1": [ | |
| 0.8372093023255814, | |
| 0.9146341463414634 | |
| ], | |
| "support": [ | |
| 41, | |
| 84 | |
| ], | |
| "confusion_matrix": [ | |
| [ | |
| 36, | |
| 5 | |
| ], | |
| [ | |
| 9, | |
| 75 | |
| ] | |
| ], | |
| "classification_report": " precision recall f1-score support\n\nauthentication_identity 0.80 0.88 0.84 41\n unrelated 0.94 0.89 0.91 84\n\n accuracy 0.89 125\n macro avg 0.87 0.89 0.88 125\n weighted avg 0.89 0.89 0.89 125\n" | |
| } | |