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Answers
Prepruning is a set of decisions made before doing a split in the decision tree. The constraints specified in the parameters are used to decide if a split is even being done or not. For example, if minimal size for split applies (the leaf already consists of less than 4 elements), no further processing is done on this part.
"Pruning" is actually postpruning. It does the split and calculates a statistic measure for its quality. If the confidence threshold is not met, the split will be undone.
So obviously prepruning is before postpruning, and the simple rule-based decisions (minimal size for split) are done before attempted before doing a split attempt.
Regards,
Balázs