 This is an advantage of Lasso over ridge regression, as driving parameters to zero deselects the features from the regression.Thus, Lasso automatically selects more relevant features and discards the others, whereas Ridge regression never fully discards any features.Some feature selection techniques are developed based on the LASSO including Bolasso which bootstraps samples, and FeaLect which analyzes the regression coefficients corresponding to different values of formula_62 to score all the features.