Course Topics 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 ...

We evaluated four statistical models-Regression Tree Analysis (RTA), Bagging Trees (BT), Random Forests (RF), and Multivariate Adaptive Regression Splines (MARS)-for predictive vegetation mapping ...

In the validation data set, specificity and sensitivity were 31.3% and 96.6%, respectively. Cancers that were missed by the CART were Gleason score 6 or less in 93.4% of cases. Receiver operator ...

Wilfried Thuiller, , Sandra Lavorel, Generalized Models vs. Classification Tree Analysis: Predicting Spatial Distributions of Plant Species at Different Scales ...

Reports from University of Minnesota Describe Recent Advances in Health Insurance (Comparison and Analysis of the Effectiveness of Linear Regression, Decision Tree, and Random Forest Models for ...

Improved Detection of Prostate Cancer Using Classification and Regression Tree Analysis Authors: Mark Garzotto, Tomasz M. Beer, R. Guy Hudson, Laura Peters, Yi-Ching Hsieh, Eduardo Barrera, Thomas ...