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The Random Forest model achieved an AUC of 0.859 when using most of the covariates and a comparable AUC of 0.851 when using only the top 15 predictive variables.
Therefore, random forest regression is a very effective method for health insurance prediction. The next model is the linear regression model with a model score of 0.7584.
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