| |
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.
