Python, Data, Data Science, Regression, Machine Learning.
sensitive to outliers than MSE. In the California housing dataset, an MAE of 0.5332 means that, on average, the model’s predictions are off by about $5,332. The most appropriate metric to use depends on the specific problem being solved and the preferences of the modeler. Score can give a quick