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.
Deze oefening maakt deel uit van de cursus
Dimensionality Reduction in Python
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
# Create a mask for features importances above the threshold
mask = ____
# Prints out the mask
print(mask)