What options are available for handling missing values in nominal variables?

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Réponse

For nominal variables, the bnet action provides three options for handling missing values: ignoring the observations, imputing with the mode of the variable, or treating the missing values as a distinct level. This is controlled by the 'missingNom' parameter.
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bnet

bayesianNetClassifier

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Other questions about bnet
How does the bnet action handle missing values in interval variables? What methods are available for independence tests in the bnet action? What is the function of the 'maxParents' parameter? What are the different network structures that can be learned with the bnet action? How can the model be saved for future scoring?
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