9 Note that, for each adjective, only 10 different full classification proposals are obtained in each feature set, because each adjective is only used once per run for testing.
while the per-class accuracy for each feature set is assessed from 100 estimates (obtained via 10x10 cv), the accuracy of the different feature sets for full classification is assessed comparing 10 accuracies.