# 【Sklearn】Understanding GridSearchCV.best_score_

Can anyone give a brief explanation on what best_score_ means?

I assume the score is higher the better.

Is there a range for the score for example (0,1)?

Thanks.

Grid-search is used to find the optimal hyperparameters of a model, which results in the most accurate predictions. The grid.best_score gives the best optimal hyperparameters. This is calculated by the average of all the cross-validation fold for a single combination of the parameters you specify in the tuned_params.