Nature

Classification and regression trees

Decision trees are a simple but powerful prediction method. Figure 1: A classification decision tree is built by partitioning the predictor variable to reduce class mixing at each split. Figure 2: ...
JSTOR Daily

Using classification and regression trees (CART) to support worker decision making

Several approaches can be taken to predict case membership in the classes of a dependent variable. Classification and regression trees (CART) analysis has been cited repeatedly as a powerful ...
Healio

Classification and regression tree predicts mortality for exacerbation in COPD patients

A classification and regression tree for patients with an exacerbation of chronic obstructive pulmonary disease appeared to identify a patient’s risk for 30-day or 60-day mortality when admitted to ...
ascopubs.org

Classification and Regression Trees to Predict for Survival for Patients With Hepatocellular Carcinoma Treated With Atezolizumab and Bevacizumab

Clinical Calculator for Predicting Freedom From Recurrence After Resection of Stage I-III Colon Cancer in Patients With Microsatellite Instability Systemic therapy with atezolizumab and bevacizumab ...
Risk

Loss given default estimation: a two-stage model with classification tree-based boosting and support vector logistic regression

The Basel Accords allow banks to estimate credit risk. Accordingly, more attention has been dedicated recently to the analysis of loss given default (LGD) and the development of an LGD estimation ...
CU Boulder News & Events

Classification and Regression Trees (CART)

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 ...