Hi, i am working in text classification on 20NewsGroup dataset with 100 documents in each category. I classify text documents via Naive Bayes using 10-fold cross validation, It runs successfully and give me results at the end.
I tried same with KNN with 10-fold cross validation but it always ends in "Process Failure" which shows that it requires more memory than available. I increase heap space for rapidminer to 2.5G in build.xml as well as rapidminerGUI.bat but nothing improves and it always ends up in demanding more memory.
Kindly help, i am stuck out at it and tried every possible option i could think about