Hi,
I have two data sets. First measured values, second calculated using generate attributes. I would like to compare these data sets statistically. I prefer Leave-one-out Cross Validation [https://en.wikipedia.org/wiki/Cross-validation_(statistics)], but usage of Cross Validation is different in RapidMiner (Divide datasets as training and validation).
Any suggestion?
Data:
3 independent variable( > 200 examples)
1 dependent variable
1 predicted variable