Parameters | Predictive Modeling | Inner Loop Algorithm

Use this feature to specify the method to evaluate the learning curves within each inner loop.The learning curve algorithm operates on successively larger portions of the original data. Full data is the portion on which the current point of the learning curve is being fit. The remaining part of the original data is the test set.When full data is chosen, one can optionally perform cross-validation by partitioning it several times into training and test sets. The former are the subsets and the latter are the hold-out sets.

...want to determine how well inner cross validation performs on a test set.