TABLE 4.
Evaluating Accuracy and Diagnostic Performances (AUC) of LDA, QDA, and SVM Classifiers on the Selected Featuresa
| Feature selection method | Selected features | Accuracy (%) | AUC (95% CI) (%) |
|---|---|---|---|
| Cross-Validated LDA | |||
| Backward AIC | CBV, FLAIR, MD, T2_ISO | 82.8 | 89.3 (75.9-100) |
| Backward BIC | CBV, MD | 75.4 | 74.7 (55.0-94.4) |
| Forward/Stepwise AIC | CBV, D, T2_ISO | 82.1 | 91.9 (83.1-100) |
| Backward BIC | CBV, D | 74.8 | 73.2 (54.4-91.6) |
| Cross-Validated QDA | |||
| Backward AIC | CBV, FLAIR, MD, T2_ISO | 85.1 | 92.4 (84.1-100) |
| Backward BIC | CBV, MD | 79.9 | 80.0 (61.8-98.0) |
| Forward/Stepwise AIC | CBV, D, T2_ISO | 83.4 | 85.3 (71.2-99.1) |
| Backward BIC | CBV, D | 81.2 | 84.8 (69.1-99.4) |
| Cross-Validated SVM | |||
| Backward AIC | CBV, FLAIR, MD, T2_ISO | 91.3 | 91.9 (79.6-100) |
| Backward BIC | CBV, MD | 80.2 | 79.8 (61.4-98.1) |
| Forward/Stepwise AIC | CBV, D, T2_ISO | 79.3 | 83.0 (65.9-99.7) |
| Backward BIC | CBV, D | 79.3 | 81.4 (63.6-98.8) |
a
The gray-shaded cells with bold-type face numbers or letters indicate highest diagnostic performances.