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 ...

To build a decision tree for patients suspected of having prostate cancer using classification and regression tree (CART) analysis.

Classification and regression trees can identify 6-month mortality risk for patients with advanced hepatocellular carcinoma.

The CART method (Classification and Regression Tree) was used to construct the Tree Classification. Several trees were developed containing explanatory variables related to maternal condition and ...

The second approach involved using Salford Systems' Classification and Regression Tree (CART) software. 21,22 CART analysis is a nonparametric technique ideally suited to identify patterns or ...

The Annals of Statistics, Vol. 49, No. 5 (October 2021), pp. 2531-2551 (21 pages) Proposed by Donoho (Ann. Statist. 25 (1997) 1870–1911), Dyadic CART is a nonparametric regression method which ...

Regression and Classification Course This online data science course will explore concepts in statistical modeling, such as when to use certain models, how to tune those models, and determining ...

Decision tree Decision trees (DTs) are a non-parametric supervised learning method used for both classification and regression.

A tree-based method for censored survival data is developed, based on maximizing the difference in survival between groups of patients represented by nodes in a binary tree. The method includes a ...