RAPIDMINER 9.7 BETA ANNOUNCEMENT
The beta program for the RapidMiner 9.7 release is now available. Lots of amazing new improvements including true version control!
KNN prediction performance
I am new here and I need your help. Actually, I have a training dataset and a test data set to be classified via kNN classification. Training---->Knn--->apply model and Test --->apply model... I do not want use cross-validation or split validation but can someone tell me how to measure the performance of knn regarding the prediction of classifying my test dataset. I dont know how connected the output of apply model as an input the performance classification to know how good is the prediction of my classification.