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.
Questo esercizio fa parte del corso
Dimensionality Reduction in Python
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
# Create a mask for features importances above the threshold
mask = ____
# Prints out the mask
print(mask)