| GDFS | CFS | rpart |
---|
| BPH | Cancer | BPH | Cancer | BPH | Cancer |
---|
True groups
| BPH | 1 | 12 | - | - | 7 | 6 |
| Cancer | 13 | 21 | - | - | 20 | 14 |
- Statistical classifications of the prostate cancer dataset (prostate cancer vs. BPH 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 the GDFS, CFS, and rpart methods.