8.17.1.8. sklearn.metrics.auc_score¶
- sklearn.metrics.auc_score(y_true, y_score)¶
Compute Area Under the Curve (AUC) from prediction scores.
Note: this implementation is restricted to the binary classification task.
Parameters : y_true : array, shape = [n_samples]
true binary labels
y_score : array, shape = [n_samples]
target scores, can either be probability estimates of the positive class, confidence values, or binary decisions.
Returns : auc : float
See also
- average_precision_score
- Area under the precision-recall curve
References
http://en.wikipedia.org/wiki/Receiver_operating_characteristic