RapidMiner 9.7 is Now Available

Lots of amazing new improvements including true version control! Learn more about what's new here.


"How to easily compute Percentage of Predictions PRED(25) from Cross Validation?"

ikhwanikhwan Member Posts: 5 Contributor II
edited May 2019 in Help
Dear all,

I need to compute a regression performance measure named "percentage of predictions within 25%" or known as PRED(25). Basically, it requires the predicted values from the whole test set we use in the experiment. The whole procedure to compute PRED(25) as follows:

r = | actualValue - predictedValue |
Pred(25) = count the number of (r / actualValue) which are less than 25% and divide the result by the number of instances

I know that there is possibility to extend a Performance node in RapidMiner, but I think it is not easy for beginner.
In RapidMiner, if I use cross validation, I can only get the test set from last iteration. However, to compute PRED(25), I need the whole test set from each iteration. Is there any way to get the whole test set from a cross validation?

Thanks in advance.

Sign In or Register to comment.