Mean Absolute Error (MAE) is a widely used metric for evaluating the accuracy of models in predicting continuous outcomes. It quantifies the average magnitude of the errors in a set of predictions, without considering their direction. In simple terms, it measures how far the predictions are from the actual values on average.
