Average classifier performance for cross-validation on our 8,414 sample ground-truth training set (see text for experiment details).

Support vector machines has the highest individual accuracy. J48 and PART are decision tree classifiers. Combining the classifiers together into the tandem strategy boosts the performance to a very high accuracy while maintaining a much lower unassignment rate than the nearest neighbor heuristic.