An Introduction to Feature Selection

Last Updated on August 15, 2020

Which features should you use to create a predictive model?

This is a difficult question that may require deep knowledge of the problem domain.

It is possible to automatically select those features in your data that are most useful or most relevant for the problem you are working on. This is a process called feature selection.

In this post you will discover feature selection, the types of methods that you can use and a handy checklist that you can follow the next time that you need to select features for a machine learning model.

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What is Feature Selection

Feature selection is also called variable selection or attribute selection.

It is the automatic selection of attributes in your data (such as columns in tabular data) that are most
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