creating perfomance criteria

rogdenis
rogdenis New Altair Community Member
edited November 5 in Community Q&A
Hello everyone,
I'm a newby and i've got an issue )

I'm using rapidminer 6.

Is it possible to create my own perfomance criteria?
What I need:
1) take prediction result for data sample.
2) depending on prediction result (class or regression value) take some attribute (which is not in model) and multiply it on some predefined number if classification(regression ) is correct(withing borders).
3) calculate the sum

Thanks a lot.
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Answers

  • makak
    makak New Altair Community Member
    Hi there,

    I'm not quite sure if I get what you want to do. But I'll give it a try.
    1) Use "Apply Model" operator on your data - you get new columns with prediction and confidence (for nominal).
    2) Connect "Generate attributes" operator, name new attribute and enter function expression, you can check for various functions and pick attributes you wish to use.
    3) Connect "Aggregate" operator pick column, calculate sum
    This works for 5.3, hopefully it will work in 6 as well.
    Hope this helps...

    cheers
  • fras
    fras New Altair Community Member
    You may also consider the "Performance Operators" already built into RapidMiner.

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