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Missing Data Not actually missing
My goal to to predict some plant data based on 15 nominal class(yes=1, no= -1, no response= 0)...I convert these to numerical because i want to use a SVM...
However my 'label' variable is numeric (1.25-50.23) and there is clearly NO MISSING DATA, before i import it as well as do a missing value replenishment (with anything, mean, maximum, zero)....nothing seems to be working!
Any help?
However my 'label' variable is numeric (1.25-50.23) and there is clearly NO MISSING DATA, before i import it as well as do a missing value replenishment (with anything, mean, maximum, zero)....nothing seems to be working!
Any help?
0
Answers
Best regards,
Wessel
Cheers