A neural network classification of credit applicants in consumer credit scoring (CROSBI ID 519738)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Šarlija, Nataša ; Benšić, Mirta, Zekić-Sušac, Marijana
engleski
A neural network classification of credit applicants in consumer credit scoring
The paper aims to find an efficient model for consumer credit scoring using neural networks in comparison with logistic regression. A specific characteristic of the examined dataset was that the credit repayment period was not completed, assuming the existence of "good", "bad", and indeterminate ("poor") applicants which influenced the model accuracy. Five different modeling strategies were tested: (1) multinomial model with three categories of applicants, (2) binomial model using only good and bad applicants, (3) binomial model including poor applicants as good, (4) binomial model including poor applicants as bad, and (5) binomial model in which poor credit applicants were estimated by model 2 and then included in the dataset. The radial basis function network with softmax activation function produced best results among the three neural network algorithms tested. The results suggest that the best strategy to deal with poor applicants is to estimate them as good and bad, and then include into the model or to exclude them from the data set, although some further investigation is to be followed.
credit scoring modeling; logistic regression; neural networks; radial basis function network
Zbornik s konferencije je citiran u bazama: INSPEC, ISI Thomson, Elsevier (Engineering Information), Cambridge Scientific Abstracts, and Emerald
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Podaci o prilogu
205-210-x.
2006.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 24th IASTED International Multi-Conference « ; Artificial intelligence and applications» ;
Devedzic, Vladan
Innsbruck: ACTA Press
Podaci o skupu
24th IASTED International Multi-Conference « ; Artificial intelligence and applications» ;
predavanje
13.02.2006-16.02.2006
Innsbruck, Austrija