Logistic Regression for Classification

Version 1.0.0.0 (6.3 KB) by Mo Chen

Logistic regression for both binary and multiclass classification

3.5K Downloads

Updated 8 Mar 2016

This package provides logistic regression functions for both binary and multiclass classification problems.
This package is now a part of the PRML toolbox (http://www.mathworks.com/matlabcentral/fileexchange/55826-pattern-recognition-and-machine-learning-toolbox).

Cite As

Mo Chen (2026). Logistic Regression for Classification (https://nl.mathworks.com/matlabcentral/fileexchange/55863-logistic-regression-for-classification), MATLAB Central File Exchange. Retrieved January 19, 2026.

MATLAB Release Compatibility

Created with R2016a

Compatible with any release

Platform Compatibility

Windows macOS Linux

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Acknowledgements

Inspired by: Pattern Recognition and Machine Learning Toolbox, Kmeans Clustering

Inspired: One vs all classification using Logistic Regression for IRIS dataset

logitReg/

Version	Published	Release Notes
1.0.0.0	8 Mar 2016		Download