How to Evaluate Machine Learning Algorithms

Last Updated on August 16, 2020

Once you have defined your problem and prepared your data you need to apply machine learning algorithms to the data in order to solve your problem.

You can spend a lot of time choosing, running and tuning algorithms. You want to make sure you are using your time effectively to get closer to your goal.

In this post you will step through a process to rapidly test algorithms and discover whether or not there is structure in your problem for the algorithms to learn and which algorithms are effective.

Test Harness

Test Harness
Photo attributed to NASA Webb Telescope, some rights reserved

Test Harness

You need to define a test harness. The test harness is the data you will train and test an algorithm against and the performance measure you will use to assess its performance. It is important to define your test harness well so that you can focus on evaluating different
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