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@ -69,7 +69,7 @@ eval.metrics.f1_score(y_true, y_pred, labels, average)
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**labels** : list of labels/classes
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**average**: string - [None, 'micro', 'macro'] If None, the scores for each class are returned.
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[Link](/blob/master/eval/metrics.py) to the metrics source code.
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[Link](/eval/metrics.py) to the metrics source code.
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### Results
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<img src="/plots/perceptron/confusion_matrix_plot.png?raw=true" width="400" height = "300" alt = "Confusion Matrix Plot">Confusion Matrix Plot</img>
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<img src="/plots/perceptron/confusion_matrix_plot.png?raw=true" width="400" height = "300" alt = "Confusion Matrix Plot" />
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