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