Description
This pack contains the solution and the input data generator for one of the tasks of the RCOMM 2013 data mining challenge "Who Wants to be a Data Miner?". Participants had to solve the task within 10 minutes. The task was this: Given
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a variant of the Golf data set (found in the //Samples/data folder) where the attribute Outlook is missing,
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a decision tree model built on the complete Golf data set, and
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a utility data set containing only the three distinct values of Golf,
create an example set based on the incomplete data set from (1) containing all possible values for the Outlook attribute which are compatible with the given decision tree (2), i.e. the prediction made by the decision tree matches the true label. This is obviously a superset of the original Golf data set.