"Predictions using SVM learner"
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Hi,
This might be a question with an obvious answer, but it's still confusing me. I've been using the SVM learner to build some classification models in Rapidminer for the past week, but I don't see any options to use the learner to classify new data. All I get when I run the LibSVM learner is a model output with some attribute weights. Does this mean I have to classify new data manually, using the SVM discriminant formula? That would give me a headache...
This might be a question with an obvious answer, but it's still confusing me. I've been using the SVM learner to build some classification models in Rapidminer for the past week, but I don't see any options to use the learner to classify new data. All I get when I run the LibSVM learner is a model output with some attribute weights. Does this mean I have to classify new data manually, using the SVM discriminant formula? That would give me a headache...
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Answers
RapidMiner provides various ways of automatically applying the model and testing its performance, so actually there is no need to do it manually. For instance, see one of the example processes, named 03_XValidation_Numerical.
Regards,
Daniel