Machine Learning

Linear Classification in R

Last Updated on August 22, 2019

In this post you will discover recipes for 3 linear classification algorithms 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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binary classification

Red vs Blue
Photo by Robert Couse-Baker, some rights reserved

Logistic Regression

Logistic Regression is a classification method that models the probability of an observation belonging to one of two classes. As such, normally logistic regression is demonstrated with binary classification problem (2 classes). Logistic Regression can also be used on problems with more than two classes (multinomial), as in this case.

This recipe demonstrates multinomial logistic regression method on the iris dataset.