| A Comparative Analysis of Machine Learning Models for the Prediction of Insurance Uptake in Kenya NK Yego, J Kasozi, J Nkurunziza Data 6 (11), 116, 2021 | 12 | 2021 |
| Optimizing Pension Participation in Kenya through Predictive Modeling: A Comparative Analysis of Tree-Based Machine Learning Algorithms and Logistic Regression Classifier N Kemboi Yego, J Kasozi, J Nkurunziza Risks 11 (4), 77, 2023 | 1 | 2023 |
| Influence of customer attitude on uptake of life insurance among teachers in Uasin Gishu County-Kenya NKK Yego, KK Salbei, EM Kilonzo American Journal of Applied Mathematics 2 (5), 191-196, 2014 | 1 | 2014 |
| Predicting health insurance uptake in Kenya using Random Forest: An analysis of socio-economic and demographic factors NKK Yego, J Nkurunziza, J Kasozi Plos one 18 (11), e0294166, 2023 | | 2023 |
| Drivers of potential policyholders’ uptake of insurance in Kenya using Random Forest NK Yego, J Nkurunziza, J Kasozi Insurance Markets and Companies 14 (1), 22, 2023 | | 2023 |
| A Comparative Analysis of Machine Learning Models for the Prediction of Insurance Uptake in Kenya. Data 2021, 6, 116 NK Yego, J Kasozi, J Nkurunziza s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021 | | 2021 |
| Factoring Risk Factors in Cost of Cover: An exploratory Survey of Health Care Cover Stake-holders in Nairobi,Kenya NKK Yego Health Research Conference, University of Nairobi, 2016 | | 2016 |
| Trend, Business Cycles and Fibonacci Retracements in Kenya 2003-2013 GDP Data BM Nelson K. Kemboi Yego Moi University Open Data Workshop, 2015 | | 2015 |
Juma Prof. KasoziProfessor of Mathematics, Makerere UniversityVerified email at mak.ac.ug
