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- W2537625906 abstract "The objective of this study is to develop a predictive model that can predict the likelihood of claim given some possible risk factors on the occurrence of claims from the insurance industry. The decision trees analysis was adopted and a predictive model was developed. The model developed took into account the class of portfolios at the individual and corporate policy levels. The model also considers vehicle usage such as private or commercial. The age of vehicle and age of policyholder were the main contributing risk factors predicting the occurrence of motor claims for both individual and cooperate policy holders. It was established that corporate policyholders with vehicles aged up to 8 years have a higher probability of claim. Whilst individual policyholders between ages 18 to 48 years have a high probability of making a claim as compared to older policyholders aged above 48 years when other conditions remain the same." @default.
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- W2537625906 date "2016-10-17" @default.
- W2537625906 modified "2023-09-25" @default.
- W2537625906 title "Decision Tree as a Predictive Modeling Tool for General Insurance Claims" @default.
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