Visual Studio Magazine

Random Forest Regression Using C#

Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...
Visual Studio Magazine

Random Forest Regression Using C#

Dr. James McCaffrey presents a complete end-to-end example of random forest regression to predict a single numeric value, implemented using C#. A random forest is a collection of basic decision tree ...
IEEE

AI-Driven Prediction of Flexural Properties in Kevlar/Carbon/Glass Fiber Hybrid Composites Using Random Forest Regression

Abstract: The research introduces a methodology to predict the flexural behavior of a laminate before conducting any experimental tests. To derive such a model, an artificial intelligence (AI)-based ...
Scientific Research Publishing

Li, X.H. (2013) Using “Random Forest” for Classification and Regression. Chinese Journal of Applied Entomology, 50, 1190-1197.

ABSTRACT: The aim of this study is to establish the estimation model of potassium content in apple leaves by using vegetation index. A total of 96 fresh apple leaves were collected from 24 orchards in ...