Code covered by the BSD License  

Download apps, toolboxes, and other File Exchange content using Add-On Explorer in MATLAB.

» Watch video

Highlights from
Introduction to Classification

4.6 | 9 ratings Rate this file 98 Downloads (last 30 days) File Size: 353 KB File ID: #28770 Version: 1.0
image thumbnail

Introduction to Classification


Richard Willey (view profile)


Files and code from Computational Statistics: Getting Started with Classification using MATLABĀ®

| Watch this File

File Information

This code is provides a simple introduction to some of the Classification capabilities in Statistics Toolbox. Key techniques used include

Using normplot to see whether features are normally distributed.
Using coercoff to look for correlation between features.
Using cvpartion to separate data into a test set and training set.
Training Naive Bayes classifiers and ensembles of decision trees.
Using sequentialfs to simplify a model


This file inspired Naive Bayes Classifier.

Required Products Statistics and Machine Learning Toolbox
MATLAB release MATLAB 7.8 (R2009a)
Tags for This File   Please login to tag files.
Please login to add a comment or rating.
Comments and Ratings (10)
22 Sep 2015 Andrei Makarskiy

I keep getting en error in 2015 version:

Undefined function or variable 'legacy'.

Error in WhiteWine (line 48)
legacy RandStream.setDefaultStream(s);

Comment only
22 Aug 2015 xu song  
26 Jun 2015 css

css (view profile)

26 Jun 2015 css

css (view profile)

24 Apr 2012 Swati

Swati (view profile)

execellent sir

02 Mar 2012 SUMANTH  
02 Mar 2012 Sandy

Sandy (view profile)

15 Sep 2011 Mr Smart  
10 Mar 2011 Gaspar

Gaspar (view profile)

Excellent presentation and demo on using datasets to do classification.

02 Jan 2011 Ali Ali

Thanks a lot. Fanstastic demo and code.

Contact us