Non-Linear Regression in R with Decision Trees
Last Updated on August 15, 2020
In this post, you will discover 8 recipes for non-linear regression with decision trees in R.
Each example in this post uses the longley dataset provided in the datasets package that comes with R.
The longley dataset describes 7 economic variables observed from 1947 to 1962 used to predict the number of people employed yearly.
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Decision Tree
Photo by Katie Walker, some rights reserved
Classification and Regression Trees
Classification and Regression Trees (CART) split attributes based on values that minimize a loss function, such as sum of squared errors.
The following recipe demonstrates the recursive partitioning decision tree method on the longley dataset.