CrossValidationReport.create_estimator_report

CrossValidationReport.create_estimator_report(*, X_test=None, y_test=None)

Create an estimator report from the cross-validation report.

This method creates a new EstimatorReport with the same estimator and the same data as the cross-validation report. It is useful to evaluate and deploy a model that was deemed optimal with cross-validation. Provide a held out test set to properly evaluate the performance of the model.

Parameters:

X_test{array-like, sparse matrix} of shape (n_samples, n_features) or None

Testing data. It should have the same structure as the training data.

y_testarray-like of shape (n_samples,) or (n_samples, n_outputs) or None

Testing target.

Returns:

reportEstimatorReport

The estimator report.