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This paper introduces a Decision Tree Learner as an early warning system forclassification of the non-life insurance companies according to their financialsolid as strong, moderate, weak, or insolvency. In this study, we ran severalexperiments to show that the proposed model can achieve a good result usingstandard 10 fold crossvalidation, split train and test data set, and separatedtest set. The results show that the method is effective and can accuratelyclassify the solvency position.

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