Like decision trees, random forests can be used to solve both classification and regression problems. Each tree is made up of a data sample drawn from a training dataset that uses sampling with ...

(ii) automatic sample selection using Machine Learning (Random Forest) techniques for algorithm training using plant height as a discriminating variable; (iii) automatic classification and generation ...

Classification procedures are some of the most widely used statistical methods in ecology. Random forests (RF) is a new and powerful statistical classifier that is well established in other ...