Non-Linear Classification in R with Decision Trees
Last Updated on August 22, 2019
In this post you will discover 7 recipes for non-linear classification with decision trees in R.
All recipes in this post use the iris flowers dataset provided with R in the datasets package. The dataset describes the measurements if iris flowers and requires classification of each observation to one of three flower species.
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Classification with Decision Trees
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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 iris dataset.