| { | |
| "loss": 0.21325894113164395, | |
| "accuracy": 0.95, | |
| "macro_f1": 0.947207264280435, | |
| "labels": [ | |
| "secure_communication", | |
| "unrelated" | |
| ], | |
| "precision": [ | |
| 0.8780487804878049, | |
| 1.0 | |
| ], | |
| "recall": [ | |
| 1.0, | |
| 0.921875 | |
| ], | |
| "f1": [ | |
| 0.935064935064935, | |
| 0.959349593495935 | |
| ], | |
| "support": [ | |
| 36, | |
| 64 | |
| ], | |
| "confusion_matrix": [ | |
| [ | |
| 36, | |
| 0 | |
| ], | |
| [ | |
| 5, | |
| 59 | |
| ] | |
| ], | |
| "classification_report": " precision recall f1-score support\n\nsecure_communication 0.88 1.00 0.94 36\n unrelated 1.00 0.92 0.96 64\n\n accuracy 0.95 100\n macro avg 0.94 0.96 0.95 100\n weighted avg 0.96 0.95 0.95 100\n" | |
| } | |