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  3. Machine Learning with Tree-Based Models in Python

Exercise

Train your first regression tree

In this exercise, you'll train a regression tree to predict the mpg (miles per gallon) consumption of cars in the auto-mpg dataset using all the six available features.

The dataset is processed for you and is split to 80% train and 20% test. The features matrix X_train and the array y_train are available in your workspace.

Instructions

100 XP
  • Import DecisionTreeRegressor from sklearn.tree.
  • Instantiate a DecisionTreeRegressor dt with maximum depth 8 and min_samples_leaf set to 0.13.
  • Fit dt to the training set.