Amazon ML uses the standard metric RMSE for linear regression. RMSE is defined as the sum of the squares of the difference between the real values and the predicted values:
Where ŷ are the predicted values and y the real values. The closer the predictions are to the real values, the lower the RMSE is; therefore, a lower RMSE is interpreted as a better predictive model.
To demonstrate the evaluation in the regression context, we will consider a simplified version of the Airlines delay dataset available on Kaggle at https://www.kaggle.com/giovamata/airlinedelaycauses. The full dataset is quite large (~250Mb). We ...
