"Cannot get accuracy, sensitivity, specificity in SVM"

kevylyap

Dear all,
I have tried to do an SVM on of my datasets with cross validation, but when I click on the run button, I only get the parameters of "root mean squared error" and "squared error". I do not see other parameters such as accuracy, AUC etc in the Performance window.

Has that anything to do with my dataset? (I am using a classification of whether a person suffers from a side effect or not, based on some lab values). How do I set the parameters which I want to see in rapidminer?

I would also like to ask how rapidminer interprets missing values? I see an error that SVM cannot be carried out because of missing values, in which case, i entered an arbitrary value of "999" to indicate missing values in the cells. Is that alright?

Thanks for helping.

pop

Hi kevylyap,
In order to get the AUC you have to use the operator "Performance (Binomial Classification)" and then check it in the list.
Regards,

Pop