Python Machine Learning By Example

What is regression?

Regression is another main instance of supervised learning in machine learning. Given a training set of data containing observations and their associated continuous outputs, the goal of regression is to explore the relationships between the observations (also called features) and the targets, and to output a continuous value based on the input features of an unknown sample.

The major difference between regression and classification is that the outputs in regression are continuous while discrete in classification. This leads to different application areas for these two supervised learning methods. Classification is basically ...