Lasso penalized regression is capable of handling linear regression problems where the number of predictors far exceeds the number of cases. This paper tests two exceptionally fast algorithms for ...

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) ...

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 ...