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The goal is to investigate the prediction performance of tree-based techniques when the available training data contains features with missing values. Also the future test cases may contain missing values and thus the methods should be able to generate predictions for such test cases. The missing values are handled either by using surrogate decisions within the trees or by the combination of an imputation...
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