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All Journal Applied Quantitative Analysis (AQA)
Goklas, Lucky S
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Decision Sciences, Operations Research & Management Mathematics Social Sciences

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Predicting Travel Insurance Policy Claim with Logistic Regression Hamzah, Dadang Amir; Kalambe, Averia A; Goklas, Lucky S; Alkhayyat, Naufal G
Applied Quantitative Analysis Vol. 1 No. 1 (2021): June 2021
Publisher : Research Synergy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/quant.613

Abstract

This paper analyzes the characteristics that influence the travel insurance claim based on existing data records. Using logistic regression, the dependent variable is the feature that determines whether there is a claim or no claim. On the other hand, the independent variables are analyzed using exploratory data analysis to identify which characteristic has the highest correlation with the dependent variable. Based on selected features, the logistic regression model is created and used to generate the prediction claim data. The predicted data gives an excellent approximation to the actual data.
Co-Authors Alkhayyat, Naufal G Hamzah, Dadang Amir Kalambe, Averia A