The first notebook is a classification model, predicting claimant vs non-claimant.
A variety of missing value imputation methods are used, and nested cross validation is used to find the optimal combination of imputation method, algorithm and associated parameters.
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The second notebook is a regression model, predicting the size of the claimants.
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