Comparing the Performance of Classifiers using t-tests

Dear all,

I am new to Knime. In Weka you have this nice ‘experimenter’ where you can compare the performance of several classifiers - with repeated holdout, or repeated cross validation - using a t-test. I like this feature , it gives more ‘significance’ to comparing classifiers (instead of just saying ‘this one is better than that one’.) Can this be done in Knime? So analysing whether a classifier performs significantly better or worse than another? Any existing workflows doing this? Any help is appreciated.

many thanks,