Random forest for feature selection

Now lets use the fitted random model to select the most important features from our input dataset X.

The trained model from the previous exercise has been pre-loaded for you as rf.

This exercise is part of the course

Dimensionality Reduction in Python

Have a go at this exercise by completing this sample code.

# Create a mask for features importances above the threshold
mask = ____

# Prints out the mask
print(mask)