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.
Diese Übung ist Teil des Kurses
Dimensionality Reduction in Python
Interaktive Übung
Vervollständige den Beispielcode, um diese Übung erfolgreich abzuschließen.
# Create a mask for features importances above the threshold
mask = ____
# Prints out the mask
print(mask)