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@@ -34,6 +34,49 @@ More information needed
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  More information needed
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  ## Training and evaluation data
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  More information needed
 
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  More information needed
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+ ## Test results
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+
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+ Binary classification accuracy (threshold at label 3) ≈ 82.00%
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+ Test Report:
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+ ```
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+ precision recall f1-score support
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+
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+ 0 0.81 0.42 0.55 100
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+ 1 0.30 0.34 0.32 100
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+ 2 0.36 0.55 0.44 100
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+ 3 0.32 0.55 0.41 100
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+ 4 0.43 0.26 0.32 100
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+ 5 0.75 0.06 0.11 50
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+
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+ accuracy 0.39 550
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+ macro avg 0.50 0.36 0.36 550
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+ weighted avg 0.47 0.39 0.38 550
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+ ```
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+
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+ Confusion Matrix:
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+ ```
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+ [[42 45 10 2 1 0]
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+ [10 34 38 17 1 0]
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+ [ 0 24 55 21 0 0]
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+ [ 0 6 27 55 12 0]
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+ [ 0 2 18 53 26 1]
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+ [ 0 1 3 22 21 3]]
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+ ```
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+
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+ Test metrics
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+ ```
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+ epoch = 20.0
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+ eval_accuracy = 0.3909
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+ eval_f1_macro = 0.3589
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+ eval_loss = 1.0854
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+ eval_precision = 0.4959
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+ eval_recall = 0.3633
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+ eval_runtime = 0:00:05.35
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+ eval_samples_per_second = 102.729
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+ eval_steps_per_second = 3.362
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+ ```
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+
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  ## Training and evaluation data
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  More information needed