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
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 4the 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 = ____