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Author Topic: How did rapidminer Decision tree AUC being calculated  (Read 1121 times)
johnny5550822
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« on: March 11, 2014, 11:49:04 PM »

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?) Huh Huh

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

Thanks a lot!
Johnny
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Marius
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« Reply #1 on: March 12, 2014, 11:28:24 AM »

Hi Johnny,

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

Best regards,
Marius
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