"weighted nearest neighbor crossvalidation"
neighbor algorithm using 10 fold cross-validation.
Nearest Neighbor and cross validation alone is no problem. But the
usage of weights complicate this a lot. The weights should be learned on the
training data and using the cross-validation operator applied on the evaluation data.
Is this possible to do this with the GUI or do I have to write the cross validation
myself without employing the cross validation operator?
Thank you for any help.