Hi Rapidminer Community,
I used SVM (Libsvm) operator for making a regression model. After training by 10 fold cross validation the resulted correlation coefficient was 84 and RMSE was 0.048. By applying this model on the test data set i got correlation coefficient of 88.5 and RMSE of 0.037. Now i need to know is it possible or logical that testing error be lower than training error?
Thanks.