aif360.sklearn.metrics
.specificity_score¶
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aif360.sklearn.metrics.
specificity_score
(y_true, y_pred, pos_label=1, sample_weight=None)[source]¶ Compute the specificity or true negative rate.
Parameters: - y_true (array-like) – Ground truth (correct) target values.
- y_pred (array-like) – Estimated targets as returned by a classifier.
- pos_label (scalar, optional) – The label of the positive class.
- sample_weight (array-like, optional) – Sample weights.