How to Perform Feature Selection With Machine Learning Data in Weka

Last Updated on December 13, 2019

Raw machine learning data contains a mixture of attributes, some of which are relevant to making predictions.

How do you know which features to use and which to remove? The process of selecting features in your data to model your problem is called feature selection.

In this post you will discover how to perform feature selection with your machine learning data in Weka.

After reading this post you will know:

• About the importance of feature selection when working through a machine learning problem.
• How feature selection is supported on the Weka platform.
• How to use various different feature selection techniques in Weka on your dataset.

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Let’s get started.

• Update March/2018: Added alternate link to download the dataset as the original appears to have been taken down.