GridSearchCV.best_score_ meaning when scoring set to 'accuracy' and CV

Question

I\'m trying to find the best model Neural Network model applied for the classification of breast cancer samples on the well-known Wisconsin Cancer dataset (569 samples, 31 featu

Answer 1

The grid.best_score_ is the average of all cv folds for a single combination of the parameters you specify in the tuned_params.

In order to access other relevant details about the grid searching process, you can look at the grid.cv_results_ attribute.

From the documentation of GridSearchCV:

cv_results_ : dict of numpy (masked) ndarrays

A dict with keys as column headers and values as columns, 
that can be imported into a pandas DataFrame

It contains keys like 'split0_test_score', 'split1_test_score' , 'mean_test_score', 'std_test_score', 'rank_test_score', 'split0_train_score', 'split1_train_score', 'mean_train_score', etc, which gives additional information about the whole execution.