Spot-Check Regression Machine Learning Algorithms in Python with scikit-learn

Last Updated on August 28, 2020

Spot-checking is a way of discovering which algorithms perform well on your machine learning problem.

You cannot know which algorithms are best suited to your problem before hand. You must trial a number of methods and focus attention on those that prove themselves the most promising.

In this post you will discover 6 machine learning algorithms that you can use when spot checking your regression problem in Python with scikit-learn.

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Let’s get started.

• Update Jan/2017: Updated to reflect changes to the scikit-learn API in version 0.18.
• Update Mar/2018: Added alternate link to download the dataset as the original appears to have been taken down.

Algorithms Overview

We are going to take a look at 7 classification algorithms that you can spot check
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