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How did rapidminer Decision tree AUC being calculated
johnny5550822
Member Posts: 12 
Contributor II
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
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
0
Answers
does this post help? http://rapid-i.com/rapidforum/index.php/topic,5698.msg20162.html#msg20162
Best regards,
Marius