Deep Learning, Evaluation Metric, Loss Function, Data Science, Model Evaluation.
differentiation It is less stable than MSE, as it deals with differences, a small horizontal change can lead to huge jumps in the regression line. 3. Huber Loss (denoted by delta) It combine the best of both worlds —robustness of L1 loss and stability of L2 loss Source In case we have outliers in