PATTERNS OF DILATORINESS FOR A CREDIT PRODUCT USING THE CART CLASSIFICATION TREE TECHNIQUE

Authors

  • Jesús Salinas Flores Universidad Nacional Agraria La Molina

DOI:

https://doi.org/10.15381/idata.v8i1.6157

Keywords:

Credit risk, Classification tree, CART algorithm.

Abstract

This study has the aim to find a pattern in delayed payments from the information obtained at the moment of requesting credit in a specific creditable product: At the same time, we show a very useful new statistical technique for this area, that is the classification tree (CART) that is applied in situations where we have independent predictor variables of classification or criterion that define the group to which every individual belongs. The paper also tries to find a set of decision rules that allow an explanation of the actual classification and the use of these rules to classify any new individual.

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Author Biography

  • Jesús Salinas Flores, Universidad Nacional Agraria La Molina

    Magister en Ingeniería Industrial. Docente del Departamento de Estadística e Informática de la Universidad Nacional Agraria La Molina. , UNALM.

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Published

2005-07-29

Issue

Section

Producción y Gestión

How to Cite

PATTERNS OF DILATORINESS FOR A CREDIT PRODUCT USING THE CART CLASSIFICATION TREE TECHNIQUE. (2005). Industrial Data, 8(1), 029-036. https://doi.org/10.15381/idata.v8i1.6157