Number of trees and estimators
Random forests are an ensemble over a large number of decision trees. The number of trees used is controlled by a parameter called n_estimators
. Below you can see a heatmap of the accuracy of a random forest classifier. Different values of maximum depth (max_depth
) are shown on the vertical axis. Different numbers of estimators (n_estimators
) are shown on the horizontal axis. How does the performance of the classifier depend on these two hyperparameters in this case?
This exercise is part of the course
Designing Machine Learning Workflows in Python
Hands-on interactive exercise
Turn theory into action with one of our interactive exercises
