Figure 1: A classification decision tree is built by partitioning the predictor variable to reduce class mixing at each split. Figure 2: Regression trees predict a continuous variable using steps ...

Then the demo uses the ML.NET library to create and train a logistic regression binary classification model ... (gradient boosting machine), and FastForestBinary (decision tree). Different classifiers ...

Classification and regression tree (CART) methods are a class of data mining techniques which constitute an alternative approach to classical regression. CART methods are frequently used in ...