| { | |
| "loss": 0.05842081295290532, | |
| "accuracy": 0.9903846153846154, | |
| "macro_f1": 0.990052606408417, | |
| "labels": [ | |
| "data_integrity", | |
| "unrelated" | |
| ], | |
| "precision": [ | |
| 1.0, | |
| 0.9838709677419355 | |
| ], | |
| "recall": [ | |
| 0.9767441860465116, | |
| 1.0 | |
| ], | |
| "f1": [ | |
| 0.9882352941176471, | |
| 0.991869918699187 | |
| ], | |
| "support": [ | |
| 43, | |
| 61 | |
| ], | |
| "confusion_matrix": [ | |
| [ | |
| 42, | |
| 1 | |
| ], | |
| [ | |
| 0, | |
| 61 | |
| ] | |
| ], | |
| "classification_report": " precision recall f1-score support\n\ndata_integrity 1.00 0.98 0.99 43\n unrelated 0.98 1.00 0.99 61\n\n accuracy 0.99 104\n macro avg 0.99 0.99 0.99 104\n weighted avg 0.99 0.99 0.99 104\n" | |
| } | |