How Does The Tree Method Work?
Tree-based models use a series of if-then rules to produce predictions from one or more decision trees. Regression (for predicting numerical values) and classification (for predicting categorical values) can both be applied to all tree-based models. A decision tree is a supervised machine learning technique used to classify or predict data based on how a priori questions were answered. The model is supervised learning in nature, which means that it is trained and tested on data sets that contain the desired categorization.