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Error message in a process using Decision tree model and Cross validation operator
This is my data set. The target attribute is "not.fully.paid."
This is the process page one:
This is the Process page two, Cross validation.
The error message reads: Non-nominal label. The label attribute (not.fully.paid)
must be nominal for the calculation of performance criteria for binomial classifi-
cation tools.
The Performance operator I chose is for Classification.
Any helpful advice about where I went wrong here is appreciated.
Tony
This is the process page one:
This is the Process page two, Cross validation.
The error message reads: Non-nominal label. The label attribute (not.fully.paid)
must be nominal for the calculation of performance criteria for binomial classifi-
cation tools.
The Performance operator I chose is for Classification.
Any helpful advice about where I went wrong here is appreciated.
Tony
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0
Best Answer
-
FaraazSarfalak
Contributor I
Hello, Mate.I think you will have to convert notfullypaid by using the operator numerical to binominal because I think the attribute notfullypaid is of integer type.
5
Answers
Specifically it is the Edit Parameter Settings. I have read the Description at https://docs.rapidminer.com/latest/studio/operators/modeling/optimization/parameters/optimize_parameters_grid.html#:~:text=The Optimize Parameters (Grid) Operator,through the parameter set port.
I tried to input something here and nothing seems to work. I want to learn what options I have here for a better process. Thanks again.
Tony