8.17.1.9. sklearn.metrics.average_precision_score

sklearn.metrics.average_precision_score(y_true, y_score)

Compute average precision (AP) from prediction scores.

This score corresponds to the area under the precision-recall curve.

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 :

average_precision : float

See also

auc_score
Area under the ROC curve

References

http://en.wikipedia.org/wiki/Information_retrieval#Average_precision

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