From: Improving binary classification using filtering based on k-NN proximity graphs
Dataset | Accuracy gap comparing to best classifier (without filtering) (%) | Accuracy gap comparing to best classifier (with filtering) (%) | Accuracy increase (%) |
---|---|---|---|
German | 7 | 2.2 | 5.4 |
Banknote authn. | 1.8 | 1.8 | 0 |
Haberman | 6.1 | 0.5 | 6.2 |
Iono-sphere | 5.8 | 3.5 | 1.5 |
Seismic bumps | 3.5 | 0.1 | 3.5 |
WDBC | 5.5 | 3.8 | 1.2 |