Table 5.
Prostate cancer data classifications (prostate cancer vs. BPH)
| |
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.