How To Implement Baseline Machine Learning Algorithms From Scratch With Python
Last Updated on May 19, 2020
It is important to establish baseline performance on a predictive modeling problem.
A baseline provides a point of comparison for the more advanced methods that you evaluate later.
In this tutorial, you will discover how to implement baseline machine learning algorithms from scratch in Python.
After completing this tutorial, you will know:
- How to implement the random prediction algorithm.
- How to implement the zero rule prediction algorithm.
Kick-start your project with my new book Machine Learning Algorithms From Scratch, including step-by-step tutorials and the Python source code files for all examples.
Let’s get started.
- Update Aug/2018: Tested and updated to work with Python 3.6.
How To Implement Baseline Machine Learning Algorithms From Scratch With Python
Photo by Vanesser III, some rights reserved.
Description
There are many machine learning algorithms to choose from. Hundreds in fact.
You must know whether the predictions for a given algorithm are good or not. But how do you know?
The answer is to use
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