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eval/report_full.md

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+# Game classifier — eval report
+
+- Checkpoint: `models/models/game_classifier_mobilenet_v3_small.pt`
+- Frames evaluated: 1118
+- Mean inference latency: 7.83 ms/frame
+- **Accuracy: 0.9991**
+
+## Per-class
+
+| Class | Precision | Recall | F1 | Support |
+|---|---|---|---|---|
+| cs2 | 0.9974 | 1.0000 | 0.9987 | 390 |
+| dota2 | 1.0000 | 1.0000 | 1.0000 | 295 |
+| valorant | 1.0000 | 0.9977 | 0.9988 | 433 |
+
+## Confusion matrix
+
+Rows = true class, columns = predicted class.
+
+| | cs2 | dota2 | valorant |
+|---|---|---|---|
+| **cs2** | 390 | 0 | 0 |
+| **dota2** | 0 | 295 | 0 |
+| **valorant** | 1 | 0 | 432 |