metrics.
accuracy_score
metrics.accuracy_score(y_true, y_pred, sample_weight=None)
Accuracy classification score.
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Parameters:
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y_true : 1d array-like, or label indicator array / sparse matrix
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Ground truth (correct) _labels.
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y_pred : 1d array-like, or label indicator array / sparse matrix
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Predicted _labels, as returned by a classifier.
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sample_weight : array-like of shape = [n_samples], optional
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Sample weights.
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Returns:
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score : float
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