Table 3.
Lung cancer data classification performance
| Cross-validation error | Kappa | Sensitivity | AUC | |
|---|---|---|---|---|
| GDFS |
0.255 |
0.493 |
0.680 |
0.830 |
| CFS |
0.315 |
0.378 |
0.600 |
0.757 |
| rpart | 0.266 | 0.478 | 0.610 | 0.562 |
Evaluation of classification performance from feature selection in the lung cancer dataset (control vs. cancer cases) for the proposed GDFS method (GDFS), correlation-based feature selection (CFS), and recursive partitioning (rpart). Reported are the cross-validation error (misclassification rate), Cohen’s kappa statistic, sensitivity, and AUC (corresponding to ROC curves in Figure 4) for the statistical classifications from each method.