Programming of random forest in MATLAB

Description

Random forest consists of several decision trees that use input data subsets. Random forest uses averaging to improve prediction accuracy and control overfitting.

There are many codes for Random forest on the Internet. We tested most of them and chose one of the best. In this video tutorial, we will explain how to use this code with several examples.

Random forest theory is rarely discussed in this educational video and the main focus is on implementation in MATLAB.

This educational video is suitable for those who want to do a random forest programming project in MATLAB.