The branches represent conditions ... Regression trees are used for continuous values (e.g. 0 to 100). Gradient boosting is a machine learning algorithm that is used for classification and ...

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 ...

It is “based on a proprietary algorithm for constructing models that differs from the standard gradient-boosting scheme.” “Categorical features support” in which your training results are ...