Plot a Decision Surface for Machine Learning Algorithms in Python

Last Updated on August 26, 2020

Classification algorithms learn how to assign class labels to examples, although their decisions can appear opaque.

A popular diagnostic for understanding the decisions made by a classification algorithm is the decision surface. This is a plot that shows how a fit machine learning algorithm predicts a coarse grid across the input feature space.

A decision surface plot is a powerful tool for understanding how a given model “sees” the prediction task and how it has decided to divide the input feature space by class label.

In this tutorial, you will discover how to plot a decision surface for a classification machine learning algorithm.

After completing this tutorial, you will know:

• Decision surface is a diagnostic tool for understanding how a classification algorithm divides up the feature space.
• How to plot a decision surface for using crisp class labels for a machine learning algorithm.
• How to plot and interpret a decision surface using predicted probabilities.

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