Exercise

Evaluate the RF regressor

You'll now evaluate the test set RMSE of the random forests regressor rf that you trained in the previous exercise.

The dataset is processed for you and split into 80% train and 20% test. The features matrix X_test, as well as the array y_test are available in your workspace. In addition, we have also loaded the model rf that you trained in the previous exercise.

Instructions

100 XP

Import mean_squared_error from sklearn.metrics as MSE.
Predict the test set labels and assign the result to y_pred.
Compute the test set RMSE and assign it to rmse_test.