Using classification and regression trees to model missingness in youth BMI, height and body mass data. [PDF]
Doggett A +3 more
europepmc +1 more source
Some Remarks about the Usage of Asymmetric Correlation Measurements for the Induction of Decision Trees [PDF]
Decision trees are used very successfully for the identification resp. classification task of objects in many domains like marketing (e.g. Decker, Temme (2001)) or medicine.
Hilbert, Andreas
core
A Comparison between Logit Model and Classification Regression Trees (CART) in Customer Credit Scoring Systems [PDF]
With the continuous development and changes in the credit industry, credit products play a more important role in the economy. This has led institutions to expand the role of technology in their credit management processes.
gholam reza . Keshavarz Haddad +1 more
doaj
Background & Objective: Despite advances in medical sciences, preeclampsia and eclampsia are still among chief causes of maternal mortality worldwide. In this study, we used classification and regression trees to investigate the role of certain inherent ...
AA.Keshtkar (PhD) +6 more
doaj
DIF Trees: Using Classification Trees to Detect Differential Item Functioning
A nonparametric tree classification procedure is used to detect differential item functioning for items that are dichotomously scored. Classification trees are shown to be an alternative procedure to detect differential item functioning other than the ...
Brandon K. Vaughn, Qiu Wang
core +1 more source
Visual model representation and selection for classification and regression trees
Within the framework of recursive partitioning algorithms by tree-based methods, this paper provides a contribution on both the visual representation of the final data partition in a geometrical space and the selection of the decision tree.
D'AMBROSIO, ANTONIO +2 more
core
Default Predictors in Retail Credit Scoring: Evidence from Czech Banking Data [PDF]
Credit to the private sector has risen rapidly in European emerging markets but its risk evaluation has been largely neglected. Using retail-loan banking data from the Czech Republic we construct two credit risk models based on logistic regression and ...
Evzen Kocenda, Martin Vojtek
core
Identifying sociodemographic profiles of veterans at risk for high-dose opioid prescribing using classification and regression trees. [PDF]
Lipkin JS +13 more
europepmc +1 more source
Surrender triggers in life insurance: classification and risk predictions [PDF]
This paper shows that some policy features are crucial to explain the decision of the policyholder to surrender her contract. We point it out by applying two segmentation models to a life insurance portfolio: the Logistic Regression model and the ...
Stéphane Loisel +2 more
core
Understanding Divergent Views on Redistribution Policy in the United States [PDF]
Particular demographic groups are often associated with distinct points of view across various dimensions of redistribution policy. In this paper, we investigate which demographic groups account for heterogeneity in views on welfare policy and views on ...
Chih Ming Tan, Louise C. Keely
core

