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 ...

A comparison of logistic regression and classification tree using credit card client data This is my bachelor thesis at free university Berlin. I used 'logistic regression', 'classification tree' and ...

Using an example from telecom trade, This work presents a kind of classification and regression tree algorithm to recognize unusual customers in telecommunication trade databases (TCART for short).

Abstract: Current state-of-the-art decision tree algorithms, such as Classification and Regression Trees (CART), build the decision tree using a recursive approach based on a greedy heuristic. We ...

The regression task predicts estimated shares outstanding, whereas the classification task involves predicting ... showing a distinct difference in feature selection by tree based methods and linear ...

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 ...