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 ...

Additive models and tree-based regression models are two main classes of statistical models used to predict the scores on a continuous response variable. It is known that additive models become very ...

Regression tree analysis to identify the best candidates for neoadjuvant chemotherapy (NAC) in patients with clinically lymph node-positive penile squamous cell carcinoma (PSCC).

Journal of Vegetation Science, Vol. 15, No. 2 (Apr., 2004), pp. 285-292 (8 pages) Logistic Multiple Regression, Principal Component Regression and Classification and Regression Tree Analysis (CART), ...

Course TopicsClassification 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 ...

Classification and regression trees (CART) analysis shows highest TB mean BMD was found in high impact athletes with LBM>50.9 kg. Conclusion There is an ordinal relationship between sport impact level ...

For more information on this research see: Comparison and Analysis of the Effectiveness of Linear Regression, Decision Tree, and Random Forest Models for Health Insurance Premium Forecasting.