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

Previous
Next