GridSearchCV final model
This is given in sklearn:
“The refitted estimator is made available at the best_estimator_ attribute and permits using predict directly on this GridSearchCV instance.”
So, you don’t need to fit the model again. You can directly get the best model from best_estimator_ attribute
If I use GridSearchCV in scikit-learn library to find the best model, what will be the final model it returns? That said, for each set of hyper-parameters, we train the number of CV (say 3) models. In this way, will the function return the best model in those 3 models for the best setting of parameters?