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Weird handling of Metadata by RM Studio (Bug report?)

pblack476pblack476 Member Posts: 83  Maven
edited December 2019 in Help
So I have this dataset where I want to map the last example of a given Binary attribute to a missing value. I do this by Mapping it to a unique string and then Declaring that unique string as missing value through the Set Data and Declare Missing operators respectively.

Later on in the process I need to predict on that attribute and I exclude the missing label I created earlier through a Filter Example operator. However, I cannot train it because it considers I have Three categories instead of Two. even after filtering it to include just the examples with the binary classes. On statistics I can see that it sees the old String I mapped as a third Category with 0 examples.

I worked around that by mapping that old string to one of the existing binary classes and since it has 0 examples, it does not alter my dataset.

But I think this is a bug.
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Answers

  • mschmitzmschmitz Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 3,053  RM Data Scientist
    Hi,
    just try Remove Unused Values after the filter.

    Best,
    Martin
    - Head of Data Science Services at RapidMiner -
    Dortmund, Germany
    sgenzer
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