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.

Este exercício faz parte do curso

Dimensionality Reduction in Python

Experimente este exercício completando este código de exemplo.

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

# Prints out the mask
print(mask)