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Set the tree's hyperparameter grid

In this exercise, you'll manually set the grid of hyperparameters that will be used to tune the classification tree dt and find the optimal classifier in the next exercise.

This exercise is part of the course

Machine Learning with Tree-Based Models in Python

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Exercise instructions

  • Define a grid of hyperparameters corresponding to a Python dictionary called params_dt with:

    • the key 'max_depth' set to a list of values 2, 3, and 4

    • the key 'min_samples_leaf' set to a list of values 0.12, 0.14, 0.16, 0.18

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Define params_dt
params_dt = ____
Edit and Run Code