Random forests hyperparameters
In the following exercises, you'll be revisiting the Bike Sharing Demand dataset that was introduced in a previous chapter. Recall that your task is to predict the bike rental demand using historical weather data from the Capital Bikeshare program in Washington, D.C.. For this purpose, you'll be tuning the hyperparameters of a Random Forests regressor.
We have instantiated a RandomForestRegressor
called rf
using sklearn
's default hyperparameters. You can inspect the hyperparameters of rf
in your console.
Which of the following is not a hyperparameter of rf
?
This exercise is part of the course
Machine Learning with Tree-Based Models in Python
Hands-on interactive exercise
Turn theory into action with one of our interactive exercises
