X-nominal validation vs svm train and test
Merry Christmas to everyone my frineds!
I have a problem using rapid miner. I handle a unbalnced data with 2 classes. I have the arff files and i use them on svm algorithm. When I use X-nominal validation I change the parameters of the algorithm and I have the the results. Although, when I use the svm for traiin and test the prediction label is only one class even though i change the paremeters as in X-validation.
Do you know how to get the same results in svm train and test??
Thanks you!
I have a problem using rapid miner. I handle a unbalnced data with 2 classes. I have the arff files and i use them on svm algorithm. When I use X-nominal validation I change the parameters of the algorithm and I have the the results. Although, when I use the svm for traiin and test the prediction label is only one class even though i change the paremeters as in X-validation.
Do you know how to get the same results in svm train and test??
Thanks you!
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The problem here is with the arff files so I handled this.
Thank you!
Thank you!
please post your process setup for test/training set as described in the link in my signature.
How do you create your training/test set? Do you use stratified sampling? Do you get good results with the cross validation?
Best regards,
Marius