Coding-based: For the given data set in the python file: Fit…
Coding-based: For the given data set in the python file: Fit a random forest regressor to the same training data set obtained after splitting the data set with the same conditions as in an earlier question (random.seed(123), test_size=0.1 and random_state=1 ) (Set the random_state=0 in the regressor. You may tune the respective parameter: n_estimators to attain the lowest error.) Make predictions on the test data set with the fit obtained on the training data set. Obtain the lowest mean squared error. Select the closest value of the mean squared error that you obtained from the following: