Using these data, we sought to compare LR against four common ML algorithms: penalized lasso, support vector machine (SVM), k-nearest neighbor (KNN), and random forest (RF) in classification ...

To solve the sparse estimation problem, we introduce an optimization algorithm. Under some conditions, we show the algorithmic and statistical convergence property for the coefficients obtained by the ...

Common regression techniques include multiple linear regression, tree-based regression (decision tree, AdaBoost, random forest, bagging), neural network regression, and k-nearest neighbors (k-NN) ...