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Rows containing missing values for predictor variables are included in the following way. Each row with a missing value on that predictor is randomly assigned to one of the two sides of the split. When this happens using the Decision Tree method, the Imputes message appears, which shows how many times this has happened. See Impute Message, where five rows have missing values.
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