Using Decision Tree Learner to Classify Solvency Position for Thai Non-life Insurance Companies release_tucqmreppzgg7dmtk5pbevah44

by Phaiboon Jhongpita, Sukree Sinthupinyo, Thitivadee Chaiyawat

Released as a article .

2012  

Abstract

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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Type  article
Stage   submitted
Date   2012-03-14
Version   v1
Language   en ?
arXiv  1203.3031v1
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