How did rapidminer Decision tree AUC being calculated

johnny5550822johnny5550822 Member Posts: 12 Contributor II
edited November 2018 in Help
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!


Sign In or Register to comment.