| | GDFS | CFS | rpart |
|---|
| | Gleason 5 | Gleason 7 | Gleason 5 | Gleason 7 | Gleason 5 | Gleason 7 |
|---|
True groups
| Gleason 5 | 11 | 6 | 11 | 6 | 11 | 6 |
| | Gleason 7 | 4 | 13 | 9 | 8 | 8 | 9 |
- Statistical classifications of the prostate cancer dataset (Gleason 5 vs. Gleason 7 cases) from the proposed GDFS method (GDFS), correlation-based feature selection (CFS), and recursive partitioning (rpart). In each case, posterior group probabilities were calculated for each observation j using features selected, and model parameters estimated, with observation j omitted (leave-one-out cross-validation). Observations were then classified using a MAP classification rule. This table shows the cross-tabulations of true group membership with the assigned classifications from the GDFS, CFS and rpart methods.
