Non-Linear Classification in R

Last Updated on August 22, 2019

In this post you will discover 8 recipes for non-linear classification in R. Each recipe is ready for you to copy and paste and modify for your own problem.

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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Irise Flowers
Photo by dottieg2007, some rights reserved

Mixture Discriminant Analysis

This recipe demonstrates the MDA method on the iris dataset.

# load the package library(mda) data(iris) # fit model fit <- mda(Species~., data=iris) # summarize the fit summary(fit) # make predictions predictions <- predict(fit, iris[,1:4]) # summarize accuracy table(predictions, iris$Species)

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R Machine Learning