| { | |
| "loss": 0.14390091708961075, | |
| "accuracy": 0.9712230215827338, | |
| "macro_f1": 0.9675081813931744, | |
| "labels": [ | |
| "secure_communication", | |
| "unrelated" | |
| ], | |
| "precision": [ | |
| 0.9361702127659575, | |
| 0.9891304347826086 | |
| ], | |
| "recall": [ | |
| 0.9777777777777777, | |
| 0.9680851063829787 | |
| ], | |
| "f1": [ | |
| 0.9565217391304348, | |
| 0.978494623655914 | |
| ], | |
| "support": [ | |
| 45, | |
| 94 | |
| ], | |
| "confusion_matrix": [ | |
| [ | |
| 44, | |
| 1 | |
| ], | |
| [ | |
| 3, | |
| 91 | |
| ] | |
| ], | |
| "classification_report": " precision recall f1-score support\n\nsecure_communication 0.94 0.98 0.96 45\n unrelated 0.99 0.97 0.98 94\n\n accuracy 0.97 139\n macro avg 0.96 0.97 0.97 139\n weighted avg 0.97 0.97 0.97 139\n" | |
| } | |