Even if I don't define the scoring parameter, it scores and makes a decision for best estimator, but documentation says the default value for scoring is "None", so what is it using to score when I don't define a metric or list of metrics?
From the User Guide:
By default, parameter search uses the
scorefunction of the estimator to evaluate a parameter setting. These are the
sklearn.metrics.accuracy_scorefor classification and
$\begingroup$ Thank you, I didn't know they had defaults in function of classificator or regressor, just seeing "score" was driving me mad. Deep dive into he documentation is needed. $\endgroup$ May 11, 2021 at 23:29
$\begingroup$ Each estimator's
scoredocstring says what it measures. But classifiers and regressors consistently use accuracy and r2, respectively. $\endgroup$– Ben Reiniger ♦May 12, 2021 at 1:13