Exercise

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?

Instructions

50 XP

Possible Answers

min_weight_fraction_leaf
criterion
learning_rate
warm_start