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the quadratic loss. Convergence is also smooth as the gradient becomes smaller as the loss decreases. 3. Mean Bias Error (MBE) This loss measures the ability of the model to over estimate or under estimate the bias The above loss differs from MAE as it doesn’t use the absolute value. It helps in