Starting from a sample size of about 70 instances, the learning curve proceeds as   Figure 6: Learning curve for 10-fold cross-validation with increasing size of training data, results are averaged over 100 runs Figure 7 shows that our prediction approach produces a few strong outliers for the test data.
it strongly underestimates the error rate for some very easy gaps.