Smarter Decisions – The Intersection of Internet of Things and Decision Science

Ensemble modeling - random forest

Random forest is an extremely popular machine learning technique that is used mainly for classification and regression. As the algorithm builds multiple decision trees, we have already covered a substantial part of the foundation required for random forest. Let's quickly understand the algorithm and solve our previous problem better.

What is random forest?

Random forest is a machine learning technique built on the principle of ensemble modeling. It builds an ensemble of decision trees with each tree having a randomly chosen subset of features; hence the name Random + Forest. Random forest is basically an advanced version of the bagging algorithm. In bagging, we build multiple decision trees with a bootstrapped training ...