Table 2 Micro-averaged number of known classes and error. Means have been computed over all iterations from all cross-validation folds for every combination of dataset, classifier and query selection criteria
Dataset | Classifier | ff.kc | c.kc | dc.kc | ff.e | c.e | dc.e |
|---|---|---|---|---|---|---|---|
Iris | SVM | 2.8 | 3.0 | 3.0 | 0.257 | 0.134 | 0.082 |
Iris | NNET | 2.8 | 2.7 | 3.0 | 0.14 | 0.164 | 0.05 |
Iris | RPART | 2.8 | 3.0 | 3.0 | 0.342 | 0.187 | 0.184 |
Cleveland | SVM | 4.9 | 4.8 | 4.9 | 0.451 | 0.473 | 0.45 |
Cleveland | NNET | 4.9 | 4.9 | 4.9 | 0.464 | 0.465 | 0.447 |
Cleveland | RPART | 4.9 | 4.9 | 4.9 | 0.479 | 0.496 | 0.485 |
Poker | SVM | 8.7 | 7.2 | 8.8 | 0.484 | 0.466 | 0.484 |
Poker | NNET | 8.7 | 7.8 | 8.8 | 0.526 | 0.49 | 0.49 |
Poker | RPART | 8.7 | 7.5 | 8.6 | 0.524 | 0.495 | 0.517 |
Satlog | SVM | 5.6 | 5.8 | 6.0 | 0.349 | 0.186 | 0.162 |
Satlog | NNET | 5.6 | 5.9 | 5.9 | 0.729 | 0.726 | 0.739 |
Satlog | RPART | 5.6 | 5.9 | 6.0 | 0.430 | 0.261 | 0.28 |
Vowels | SVM | 9.8 | 10.4 | 10.5 | 0.546 | 0.341 | 0.322 |
Vowels | NNET | 9.8 | 10.7 | 10.6 | 0.661 | 0.601 | 0.623 |
Vowels | RPART | 9.8 | 10.7 | 10.5 | 0.645 | 0.617 | 0.632 |