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| "accuracy": 0.9961948249619482, |
| "precision_macro": 0.9955908289241622, |
| "recall_macro": 0.9966755319148937, |
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| "def_front": 1.0, |
| "ok_front": 0.9911816578483245 |
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| "per_class_recall": { |
| "def_front": 0.9933510638297872, |
| "ok_front": 1.0 |
| }, |
| "per_class_f1": { |
| "def_front": 0.9966644429619747, |
| "ok_front": 0.995571302037201 |
| }, |
| "confusion_matrix": [ |
| [ |
| 747, |
| 5 |
| ], |
| [ |
| 0, |
| 562 |
| ] |
| ], |
| "classes": [ |
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| "mean_inference_latency_ms": 0.3442122115672786 |
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| "test": { |
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| "recall_macro": 0.9947803447752894, |
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| "per_class_f1": { |
| "def_front": 0.995575221238938, |
| "ok_front": 0.9923954372623575 |
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| "confusion_matrix": [ |
| [ |
| 450, |
| 3 |
| ], |
| [ |
| 1, |
| 261 |
| ] |
| ], |
| "classes": [ |
| "def_front", |
| "ok_front" |
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| "mean_inference_latency_ms": 0.395475506294432 |
| } |
| } |
|
|
