|回归学习器||Train regression models to predict data using supervised machine learning|
Create and compare regression trees, and export trained models to make predictions for new data.
Understand the steps for supervised learning and the characteristics of nonparametric classification and regression functions.
Understand decision trees and how to fit them to data.
To grow decision trees,
fitrtree apply the standard CART algorithm by default to
the training data.
Create and view a text or graphic description of a trained decision tree.
Tune trees by setting name-value pair arguments in
Predict class labels or responses using trained classification and regression trees.
Predict responses for new data using a trained regression tree, and then plot the results.