Table 1 Filtering parameters for each dataset
From: Improving binary classification using filtering based on k-NN proximity graphs
German | Banknote authn. | Haberman | Ionosphere | Seismic bumps | WDBC | |
|---|---|---|---|---|---|---|
Neighbour count | 25 | 20 | 20 | 8 | 10 | 20 |
Power | − 0.35 | 0 | 0 | − 4.8 | − 0.8 | − 2.1 |
Threshold | 0.48 | 0.75 | 0.45 | 0.11 | 0.62 | 0.49 |
Outlier rate | 0.23 | 0 | 0.24 | 0.07 | 0.06 | 0.02 |