A statistical approach to growing a reliable honest tree

Comparison of logistic regression model and classification tree: An application to postpartum depression data

“…Logistic regression and Classification Trees (CT) are the models being used for estimating class membership of categorical dependent variable without getting any assumption on independent variables (Breiman et al, 1984;Buntine, 1992;Cappelli, Mola, & Siciliano, 2002;Hosmer & Lemeshow, 1989;Kerby, 2003;Olaru & Wehenkel, 2003;Siciliano & Mola, 2000;Terin, Schmid, Griffith, D'Agostino, & Sekler, 2003). These methods are very popular in machine learning applications, computer science (data structures), botany (classification), and psychology (decision theory) and are also used as prognostic models in medicine.…”

Regression tree analysis for predicting slaughter weight in broilers

“…This value, weighted by the proportion of all observations in node k, is the value reported as "improvement" in the tree (Talmon, 1986;Cappelli et al, 2002). The tree building process continues until each partition consisting of one observation in each of the child nodes or all observations within each child node have the identical distribution of independent variables, making splitting.…”

Classification Trees for Ordinal Responses inR: TherpartScorePackage

“…This issue is particularly crucial when the aim of the analysis is to obtain a prediction rule for future observations. Several techniques have been suggested for obtaining correctly sized trees (see, for example, Niblett and Bratko 1986;Mingers 1987;Quinlan 1993;Cappelli, Mola, and Siciliano 2002;Zhong, Georgiopoulos, and Anagnostopoulos 2008). A comparison among some of these pruning procedures can be found in Esposito, Malerba, and Semeraro (1997).…”