Data Science, Regularization, Machine Learning, Editors Pick, Hands On Tutorials.
equally. You want to make an example of the times when the model generated predictions too far off from the observed values. It’s not so much about the prediction being too far off above or below the observed value, but the magnitude of the error. You square the residuals and penalize the