In this section, we will review the regression evaluation measures for understanding the performance level of a regression model. Model evaluation is one of the key aspects of any machine learning model building process. It helps us to assess how our model will perform when we put it into production. We will use the following metrics for model evaluation:
- R-squared
- MSE
- MAE
- RMSE