Machine Learning, Data Science, Loss Function, Regression, Classification.
each training example is the distance between the predicted and the actual values, irrespective of the sign. Absolute Error is also known as the L1 loss: As I mentioned before, the cost is the Mean of these Absolute Errors (MAE). The MAE cost is more robust to outliers as compared to MSE. However,