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Input > Learner (DecisionTree ID3) > Example Set Generator > Classification Performance
My data is like this;
Attributes : 1 2 3 ...............10 Status
A B C P(Patient)
B A A NP(Not Patient)
I choose all Attribute value types nominal, and I select attribute tab for all attribute types except status. I choose label for it. Than press play button.
When I run this process, I got an error message " The label attribute (label) must be nominal for the calculation of performance criteria for classification tasks."
how can I handle this problem ? My aim is to draw a decision tree and obtain the accuracy and classification error.
thanks in advance,