A absurd problem about "raplace missing value" operator
May_LIN_01
MemberPosts:4Newbie
inHelp
I used "filter examples " operator to handle missing values and I am sure there are no missing values after that. But when I used "cross validation" and "neural net" to be my testing model, Rapidminer showed me that "neural net cannot handle missing values". Then I clicked " help me to solve the problem", a "replace missing values" operator automatically appeared on my process. However, I still can't run my process because Rapidminer showed me "attribute filter does not match any attributes". Does it means I can't use "replace missing values" because there are no value missing? I really don't know how to solve this problem.Could anyone help me? Thanks a lot!!
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Best Answer
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lionelderkrikor Moderator, RapidMiner Certified Analyst, MemberPosts:1,195UnicornMay,
You can find in attached file , the working process :
- I set your label attribute to NOMINAL
- I set your attributes "text" and " Title" to "Id" so that they are not taken into account by the model during training...
Have a nice day,
Regards,
Lionel1
Answers
Can you please provide your process and your dataset in order to reproduce the problem and in order to understand your problem ?
Regards,
Lionel
Regards,
May
Regards,
May