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Department of Statistics and Operations Research, School of Mathematical Sciences, Tel Aviv University, Tel Aviv, Israel
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Expert knowledge, distilled into interpretable goodness-of-fit features, can not only improve classification accuracy in the face of informative missingness but also yield more transparent and justifiable decision rules, even outperforming standard ML methods with limited data.
