Mean Absolute Error (MAE): a measure of a model’s performance that indicates the average absolute difference between the predicted and actual values in a regression model.
Mean Absolute Error (MAE): a measure of a model’s performance that indicates the average absolute difference between the predicted and actual values in a regression model.