The Basics of a Random Forest Algorithm
A random forest algorithm is a machine learning algorithm, specifically, supervised learning, that is used mainly for classification and regression. It is also a form of ensemble modeling. If that language sounds complicated for people out of field, here it is again in simple terms. A random forest algorithm is a basic artificial intelligence program that is used for breaking things into categories or for predicting outcomes in certain situations.Decision TreesRandom forest algorithms consist of a large collection of decision trees that have been set aside within training sets in order to get more robust training samples. What is a decision tree?A decision tree is an algorithm model that branches out into different possibilities and therefore, looks a little like a tre...
