3 Evaluation Metrics for Regression

Regression-based machine learning models are used to predict the value of a continuous attribute. As with all supervised machine learning problems the model is trained using a set of features (X) to learn the mapping to a target variable (y). In the case of regression, the target is a continuous variable such as the price of a house. Probably the simplest regression algorithm is linear regression. Simple linear regression, where there is only one feature and one target, is represented by the equation shown below.