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Introduction to Classification

version 1.0.0.1 (353 KB) by

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

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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

Comments and Ratings (13)

Sanjeev Kumar

thanks sir

MUNSIF

MUNSIF (view profile)

Excellent demo. Thanks Sir.

I keep getting en error in 2015 version:

Undefined function or variable 'legacy'.

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

xu song

css

css (view profile)

css

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Swati

Swati (view profile)

execellent sir

SUMANTH

Sandy

Sandy (view profile)

Mr Smart

Gaspar

Gaspar (view profile)

Excellent presentation and demo on using datasets to do classification.

Ali Ali

Thanks a lot. Fanstastic demo and code.

Updates

1.0.0.1

Updated license

MATLAB Release
MATLAB 7.8 (R2009a)
Acknowledgements

Inspired: Naive Bayes Classifier

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