Using Decision Tree Learner to Classify Solvency Position for Thai Non-life Insurance Companies

Details Using Decision Tree Learner to Classify Solvency Position for Thai Non-life Insurance Companies Using Decision Tree Learner to Classify Solvency Position for Thai Non-life Insurance Companies

2012-03-14

arxiv.org/abs/1203.3031v1

International Journal of the Computer, the Internet and Management Vol. 19. No.3 (September-December, 2011) pp 41 -46

Economy

Quantitative Finance

Risk Management

Scientific paper

This paper introduces a Decision Tree Learner as an early warning system for classification of the non-life insurance companies according to their financial solid as strong, moderate, weak, or insolvency. In this study, we ran several experiments to show that the proposed model can achieve a good result using standard 10 fold crossvalidation, split train and test data set, and separated test set. The results show that the method is effective and can accurately classify the solvency position.

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