Decision tree methods: applications for classification and prediction PMC
Decision Trees are a non-parametric supervised learning method used for classification and regression. The goal is to create a model that predicts the value of a target variable by learning simple decision rules inferred from the data features. A tree can be seen as a piecewise constant approximation. Algorithms for constructing decision trees usually work … Read more