| { | |
| "loss": 1.1106457078247332, | |
| "accuracy": 0.8388888888888889, | |
| "macro_f1": 0.8111364376424617, | |
| "labels": [ | |
| "input_validation", | |
| "unrelated" | |
| ], | |
| "precision": [ | |
| 0.8541666666666666, | |
| 0.8333333333333334 | |
| ], | |
| "recall": [ | |
| 0.6507936507936508, | |
| 0.9401709401709402 | |
| ], | |
| "f1": [ | |
| 0.7387387387387387, | |
| 0.8835341365461847 | |
| ], | |
| "support": [ | |
| 63, | |
| 117 | |
| ], | |
| "confusion_matrix": [ | |
| [ | |
| 41, | |
| 22 | |
| ], | |
| [ | |
| 7, | |
| 110 | |
| ] | |
| ], | |
| "classification_report": " precision recall f1-score support\n\ninput_validation 0.85 0.65 0.74 63\n unrelated 0.83 0.94 0.88 117\n\n accuracy 0.84 180\n macro avg 0.84 0.80 0.81 180\n weighted avg 0.84 0.84 0.83 180\n" | |
| } | |