Data Science, Machine Learning, Regression, Evaluation Metric, Linear Regression.
errors in the same unit as the target variable, meaning it can be U.S. Dollars, percentage values, and many others according to the task at hand. If the goal is to avoid outliers by penalizing the larger errors, then the MSE would more adequate than the MAE. This is specially true for projects