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 ejercicio forma parte del curso
Dimensionality Reduction in Python
Ejercicio interactivo práctico
Prueba este ejercicio y completa el código de muestra.
# Create a mask for features importances above the threshold
mask = ____
# Prints out the mask
print(mask)