Browsing by Subject "Logistic regression"
Now showing items 1-10 of 15
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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 association of perceived conflict with sadness for long-term care residents with moderate and severe dementia
(Sage, 2018)Objectives Research into the lived experiences of long-term care residents with dementia has identified perceived conflict, and its impact on sadness, as priorities for quality of life from the perspectives of people with ... -
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analysis methods such as Cox Proportional Hazards (PH) and accelerated lifetime models may produce estimates that are outdated.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 ... -
Determinants of poverty in a South African Township
(Kamla-Raj Enterprises / Science Publications, 2013)Strategies aimed at reducing poverty need to identify factors that are strongly associated with poverty and that could be influenced by policy changes. The study reported here used household level data to analyze determinants ... -
Developing credit scorecards using logistic regression and classification and regression trees
(North-West University (South Africa), 2020)Financial institutes receive thousands of credit applications daily; thus, consumer credit has become increasingly important in the economy. Credit scoring is the evaluation of the risk associated with granting credit to ... -
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 ... -
An investigation of circumstantial and durational urban poverty by developing a new multidimensional measure, in the case of Harare province
(North-West University (South Africa), 2021)This study investigated circumstantial and durational urban poverty by adapting the UNDP MPI and developing a new multidimensional measure in Harare province. The study divided Harare province into 4 locations which are ... -
Investigation of factorisation machines and its extensions to predictive models in a statistical context
(North-West University (South Africa), 2023)Factorisation machines originated from the field of machine learning and have gained popularity because of the high accuracy obtained in several prediction problems, particularly in the field of recommender systems. As ... -
Job demands–resources theory, health and well–being in South Africa
(North-West University, 2012)Work stress has a substantial impact on employees, organisations and economies; especially in the fragile economic environment since the ‘Great Recession’ of 2008; which has seen employment levels drop and employees willing ...