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.
Cet exercice fait partie du cours
Dimensionality Reduction in Python
Exercice interactif pratique
Essayez cet exercice en complétant cet exemple de code.
# Create a mask for features importances above the threshold
mask = ____
# Prints out the mask
print(mask)