Analyzing the best results

The cv_results_ property has a lot of information in it. At the end of the day, we primarily care about the best square on that grid search. Luckily Scikit Learn's gridSearchCv objects also have a number of parameters that provide key information on just the best square (or row in cv_results_).

These three properties are:

best_params_ – Which is a dictionary of the parameters that gave the best score.
best_score_ – The actual best score.
best_index_ – The index of the row in cv_results_ that was the best.

The grid search object grid_rf_class has been loaded for you.

Extract and print out the ROC_AUC score from the best grid search square.
Recreate the best_row variable from the previous exercise using the index of the best row.
Assign the n_estimators from the best grid search square to the variable best_n_estimators.

Take Hint (-30 XP)