The Lasso and Ridge Regression Yield Biased Estimates of Imbalanced Binary Features
Many regularized methods, such as the lasso and ridge regression, are sensitive to the scales of the features in the data. As a consequence, it has become standard practice to normalize(center and scale) features such that they share the same scale. For continuous data, the most common strategy is standardization: centering and scaling each feature by its mean andand standard deviation, respective
