We challenge three of the underlying principles of CART, a well know approach to the construction of classification and regression trees (CART). Our primary concern is with the penalization strategy ...

Decision tree regression is a fundamental technique that can be used by itself, and is also the basis for powerful ensemble techniques (a collection of many decision trees), notably, AdaBoost ...

In the statistical analysis, cognitive frailty served as the dependent variable, while statistically significant independent variables (p < 0.05) identified in univariate analysis were included in the ...

PURPOSESystemic therapy with atezolizumab and bevacizumab can extend life for patients with advanced hepatocellular carcinoma (HCC). However, there is substantial variability in response to therapy ...

Awesome Decision, Classification, and Regression Tree Research Papers A curated list of classification and regression tree research papers with implementations from the following conferences: ...

Classification regression tree algorithm is a machine learning method based on decision tree, and its application in Accounting information system has important value. Accounting information system ...

Classification and Regression Trees (CART) Course Topics Classification and regression tree (CART) methods are a class of data mining techniques which constitute an alternative approach to classical ...

Article citations More>> Breiman, L., Friedman, J., Olshen, R. and Stone, C. (1984) Classification and Regression Trees. Chapman and Hall, Wadsworth, New York. has been cited by the following article: ...