| |
GDFS
|
CFS
|
rpart
|
|---|
| |
Control
|
Cancer
|
Control
|
Cancer
|
Control
|
Cancer
|
|---|
|
True groups
|
Control
|
69
|
15
|
66
|
18
|
74
|
10
|
| |
Cancer
|
32
|
68
|
40
|
60
|
39
|
61
|
- Statistical classifications of the lung cancer dataset (control vs. cancer 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 GDFS, CFS and rpart.
