"One sided performance operator required"

aminamin Member Posts: 1 Contributor I
edited June 2019 in Help



I am trying to predict real number values and I am looking for a performance operator, that is able to distinguish between errors that are higher or lower than the label value.


Imagine you would want to predict the minimum thickness of your ceiling. Everything below the label value would be worthless, the target would be to come as close to the label value as possible but only from above.


is there any way to realize this in Rapid Miner? Ideally I am looking for a rules based performance operator, that I can feed with own rules (somehow similar to the cost performance operator).


Thanks in advance





  • mschmitzmschmitz Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 2,316  RM Data Scientist

    Hi amin,


    you can always built such a thing with a combination of Generate Attributes and Extract Performance.


    - Head of Data Science Services at RapidMiner -
    Dortmund, Germany
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