Finding the best prediction-model
here's my situation: I build a process with different models (e.g.: LinearRegression, LinearRegression with ForwardSelection, LinearRegression with OptimizeParameterEvolutionary, M5P, M5P with ForwardSelection, M5P with OptimizeParameterEvolutionary, etc.) make with everyone a X-validation and than want use the t-Test to compare the models to find the best one.
Is there a possibility to find the best-fitting model in rapidminer and get only the best-fitting model in the results?