Table 4.
Classification error on the extended Kahraman benchmark
| Method | A | B | C |
|---|---|---|---|
| sup-CKL | 0.19 | 0.21 | 0.18 |
| sup-CKL-Vol | 0.18 | 0.19 | 0.18 |
| Vol | 0.32 | 0.39 | 0.31 |
| Princ-Axis | 0.22 | 0.27 | 0.21 |
| sup-PI | 0.24 | 0.33 | 0.23 |
Classification error for all algorithms on the extended Kahraman dataset. Column A - classification error evaluated on all 972 pockets. Column B Proportion of wrong predictions among the original 100 Kahraman pockets extracted from column A, i.e. classification error evaluated on 100 Kahraman pockets when all 972 pockets are used in the leave-one-out procedure. Column C - classification error evaluated on the 872 new pockets, when the 100 Kahraman pockets are not used in the leave-one-out procedure.