You have trained a regression model and need to explain whether it is performing well enough to use. The team wants a clear framework for judging model quality beyond a single metric.
How do you evaluate a regression model?
Absolute error metrics such as MAESquared error metrics such as RMSEExplained variance such as R-squaredGeneralization via cross-validationSegment-level and outlier performance