how to improve random forest regressor code example

Example 1: how to improve accuracy of random forest classifier

# Find number of features for cumulative importance of 95%# Add 1 because Python is zero-indexedprint('Number of features for 95% importance:', np.where(cumulative_importances > 0.95)[0][0] + 1)Number of features for 95% importance: 6

Example 2: how to improve accuracy of random forest classifier

display(cv)