Machine Learning, Regularization, Linear Regression, Data Science, Overfitting.
weight (i.e. the slope) to zero when minimizing the loss function. Now, we add a small linear component to the data points and re-run the fitting procedures: This is already enough for Lasso to not fully “ignore” the slope coefficient anymore. If we further increase the added linear component, we