get_scorer#

sklearn.metrics.get_scorer(scoring)[source]#

Get a scorer from string.

Read more in the User Guide. get_scorer_names can be used to retrieve the names of all available scorers.

Parameters:

scoringstr, callable or None: Scoring method as string. If callable it is returned as is. If None, returns None.

Returns:

scorercallable: The scorer.

Notes

When passed a string, this function always returns a copy of the scorer object. Calling get_scorer twice for the same scorer results in two separate scorer objects.

Examples

>>> import numpy as np
>>> from sklearn.dummy import DummyClassifier
>>> from sklearn.metrics import get_scorer
>>> X = np.reshape([0, 1, -1, -0.5, 2], (-1, 1))
>>> y = np.array([0, 1, 1, 0, 1])
>>> classifier = DummyClassifier(strategy="constant", constant=0).fit(X, y)
>>> accuracy = get_scorer("accuracy")
>>> accuracy(classifier, X, y)
0.4

Gallery examples#

Release Highlights for scikit-learn 1.4

Post-tuning the decision threshold for cost-sensitive learning