This is partly because large numbers of potentially influential variables and non-linearities confound traditional statistical methods. Here we use boosted decision trees – one of a growing portfolio ...

In practice, boosting is often applied to combine decision trees. Alternating decision trees 11 are a generalization of decision trees that result from applying a variant of boosting to combine ...

We then compare the performances of seven supervised models, i.e., naive Bayes, logistic, linear discriminant analysis (LDA) and quadratic discriminant analysis (QDA), as well as tree-based methods ...