Browsing Faculty of Natural and Agricultural Sciences by Subject "Logistic regression"
Now showing items 1-5 of 5
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Applying predictive analytics in identifying students at risk: a case study
(Stellenbosch Univ, 2016)In this article, a case study is presented of an institutional modelling project whereby the most appropriate learning algorithm for the prediction of students dropping out before or in the second year of study was identified ... -
The benefits of segmentation: evidence from a South African bank and other studies
(ASSAf, 2017)We applied different modelling techniques to six data sets from different disciplines in the industry, on which predictive models can be developed, to demonstrate the benefit of segmentation in linear predictive modelling. ... -
A cross-sectional survival analysis regression model with applications to consumer credit risk
(SASA, 2017)When performing long-range survival estimations, longitudinal survival analysis methods such as Cox Proportional Hazards (PH) and accelerated lifetime models may produce estimates that are outdated. This paper introduces ... -
The impact of pre-selected variance inflation factor thresholds on the stability and predictive power of logistic regression models in credit scoring
(ORSSA (Operations Research Society of South Africa), 2015)Standard Bank, South Africa, currently employs a methodology when developing application or behavioural scorecards that involves logistic regression. A key aspect of building logistic regression models entails variable ... -
Variable selection in logistic regression models through the application of exact mathematical programming
(SASA, 2020)A linearised approximation of the log-likelihood objective function is presented as a potential alternative to iterative fitting methods employed by logistic regression. The log-likelihood objective function is solved using ...