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How did rapidminer Decision tree AUC being calculated

Contributor II

How did rapidminer Decision tree AUC being calculated

Hi all,

How does rapdiminer decision tree (the basic one) AUC being calculated? For example, I have a dataset with only 1 parameter, and then I use 10 fold cross validation. The "performance" operator gives me AUCs (Optimistic, pessimistic, general), how did it generate? (I am guessing something like this: rapidminer try different cut-off for the single variable and determine the AUC?) ??? ???

Also, what's the difference among optimistic, pessimistic, and general ?

Thanks a lot!
Johnny
1 REPLY
Super Contributor

Re: How did rapidminer Decision tree AUC being calculated

Hi Johnny,

does this post help? http://rapid-i.com/rapidforum/index.php/topic,5698.msg20162.html#msg20162

Best regards,
Marius