Let us run the GridSearchCV to get the Best Estimator and the Best Parameters
Run the Grid Search algorithm on the Training data set by calling the fit() method on grid_search object (that we created earlier), and passing to the fit() method following variables (that we created earlier) as parameters:
trainingColstrainingLabelsPrint the 'best estimator' and 'best hyperparameters' that you got by executing the Grid Search algorithm above.
PS - It might take up to 10 minutes to run the fit method.
Note - Having trouble with the assessment engine? Follow the steps listed here
Loading comments...