Weight-Selected Attribute Bagging for Credit Scoring

Vertical bagging decision trees model for credit scoring

0957-4174/$ see front matter 2010 Elsevier Ltd. A doi:10.1016/j.eswa.2010.04.054 * Corresponding author. E-mail addresses: [email protected] (D. Zhan Zhou), [email protected] (S.C.H. Leung). In recent years, more and more people, especially young people, begin to use credit card with the changing of consumption concept in China so that the business on credit cards is growing fast. The...

Using DEA for Classification in Credit Scoring

Credit scoring is a kind of binary classification problem that contains important information for manager to make a decision in particularly in banking authorities. Obtained scores provide a practical credit decision for a loan officer to classify clients to reject or accept for payment loan. For this sake, in this paper a data envelopment analysis- discriminant analysis (DEA-DA) approach is us...

Credit Scoring for Microenterprise Lenders

using dea for classification in credit scoring

credit scoring is a kind of binary classification problem that contains important information for manager to make a decision in particularly in banking authorities. obtained scores provide a practical credit decision for a loan officer to classify clients to reject or accept for payment loan. for this sake, in this paper a data envelopment analysis- discriminant analysis (dea-da) approach is us...

Introducing a Non-Dichotomous Method for Scoring Selected-Response Tests

The main purpose of this study was to introduce a new non-dichotomous scoring procedure for the multiple-choice test method, called Parledge. The research also aimed to determine Parledge characteristics through a psychometric study comparing it with the “Number Correct” and “Correction for Guessing” scoring methods. There were 35 students participating in the study who were given a vocabulary ...