Machine Learning & Training

What Is a Random Forest?

A random forest is an ensemble method that builds many decision trees, each trained on a random sample of the data and features. The trees' predictions are combined through voting or averaging to produce a more accurate and stable result. Random forests are robust and widely used for both classification and regression.