score#

EstimatorReport.metrics.score(*, data_source='test')[source]#

Compute the estimator’s default score.

This calls the underlying estimator’s score method on the chosen data source. For skrub.DataOp estimators, scorings registered via with_scoring() are used.

Parameters:
data_source{“test”, “train”}, default=”test”

The data source to use.

  • “test” : use the test set provided when creating the report.

  • “train” : use the train set provided when creating the report.

Returns:
The default score of the estimator.

Examples

>>> from sklearn.datasets import load_breast_cancer
>>> from sklearn.linear_model import LogisticRegression
>>> from skore import evaluate
>>> X, y = load_breast_cancer(return_X_y=True)
>>> classifier = LogisticRegression(max_iter=10_000)
>>> report = evaluate(classifier, X, y, splitter=0.2)
>>> report.metrics.score()
0.94...