Results 131 to 140 of about 32,796 (305)
A novel method for credit scoring based on feature transformation and ensemble model. [PDF]
PeerJ Comput Sci, 2021 Li H +7 more
europepmc +1 more source
Credit Scoring Models in Illinois by Farm Type: Hog, Dairy, Beef and Grain
Employing a logit model and farm-level data for Illinois from 1995 to 2004, this study explores the importance of farm-type differences in the development of credit scoring models. Apart from the conclusion that regional credit scoring models specific to
Katchova, Ani L., Durguner, Seda
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, 2012 The purpose of this thesis is to determine and to better inform industry practitioners to the most appropriate classification and regression techniques for modelling the three key credit risk components of the Basel II minimum capital requirement ...
Brown, Iain L.J. +1 more
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British Journal of Clinical Pharmacology, EarlyView.Introduction Introduction Reporting adverse drug reactions (ADRs) is essential for detecting drug risks. Despite legal obligations in Switzerland, underreporting remains an issue. This study assessed practice, knowledge and attitudes towards the spontaneous ADR reporting system among physicians and pharmacists.
Fiona A. Strobel +2 more
wiley +1 more source
Did credit scores predict the subprime crisis? [PDF]
One would think that credit scores would be a predictor of who would default on a subprime mortgage.
Yuliya Demyanyk
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Multiple classifier architectures and their application to credit risk assessment [PDF]
, 2008 Multiple classifier systems combine several individual classifiers to deliver a final classification decision. An increasingly controversial question is whether such systems can outperform the single best classifier and if so, what form of multiple ...
Finlay, S M
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British Educational Research Journal, EarlyView.Abstract This paper examines the experiences of Nigerian cross‐border students in UK higher education, focusing on how colonial legacies continue to shape the interplay between structure and agency. Three key themes emerged in the analysis of the data: First, the persistence of a ‘West is Best’ mentality reflects the internalisation of colonial ...
Jennifer Marshall, Jack Bryne Stothard
wiley +1 more source
People underestimate the errors made by algorithms for credit scoring and recidivism prediction but accept even fewer errors. [PDF]
Sci Rep, 2021 Rebitschek FG, Gigerenzer G, Wagner GG.
europepmc +1 more source
Differentiated Use of Small Business Credit Scoring by Relationship Lenders and Transactional Lenders: Evidence from firm-bank matched data in Japan [PDF]
This paper examines the ex-post performance of small and medium-sized enterprises (SMEs) that obtained small business credit scoring (SBCS) loans. Using a unique Japanese firm-bank matched dataset, we identify whether an SME has obtained an SBCS loan and,
HIRATA Hideaki, ONO Arito, HASUMI Ryo
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Hyperparameters tuning of random forest with harmony search in credit scoring [PDF]
, 2019 Correct identification of defaulters and non-defaulters in the lending industry is a crucial task for financial institutions. Credit scoring is a tool utilized for credit granting decisions.
Goh, Rui Ying +2 more
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