Classification and regression trees are ideally suited for the analysis of complex ecological data. For such data, we require flexible and robust analytical methods, which can deal with nonlinear ...

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 ...

DTSA 5020 Regression and Classification DTSA 5020 Regression and Classification Specialization: Intro to Statistical Learning Instructor: James Bird, Instructor Prior knowledge needed: Intro ...

Sliced inverse regression (SIR) was introduced by Li to find the effective dimension reduction directions for exploring the intrinsic structure of high-dimensional data. In this study, we propose a ...

Purpose To build a decision tree for patients suspected of having prostate cancer using classification and regression tree (CART) analysis. Patients and Methods Data were uniformly collected on 1,433 ...