Comparing the Predictive Power of the CART and CTREE algorithms

The CART algorithm has been extensively applied in predictive studies, however, researchers argue that CART produces variable selection bias. This bias is reflected in the preference of CART in selecting predictors with large numbers of cutpoints. Considering this problem, this article compares the...

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Veröffentlicht in:	Avaliação Psicológica 2020-04, Vol.19 (1), p.87-96
Hauptverfasser:	Gomes, Cristiano Mauro Assis, Lemos, Gina C, Jelihovschi, Enio G
Format:	Artikel
Sprache:	eng ; por
Schlagworte:	Algorithms Bias data mining Datasets Education Feature selection Hypotheses Hypothesis testing large-scale educational assessment machine learning National Exam of Upper Secondary Education Normal distribution Secondary education Student writing Variables
Online-Zugang:	Volltext
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