Learn the difference between linear regression and multiple regression and how investors can use these types of statistical analysis.

We also compared the performance of regression and classification algorithms at other percentiles where differences between predictions were variable.

Random forests—a machine-learning tool for classification and regression proposed a few years ago—have an inherent procedure of producing variable importances.

Following the segmentation, a pruning algorithm with optimal properties similar to those of classification and regression trees (CART) is used to determine a sparse segmentation. Bootstrap resampling ...