Table 1.
Classification results for the first set of simulations: comparison between SWPCR and other Classification Methods. sLDA denotes sparse linear discriminant analysis; SPLS denotes sparse partial least squares; SLR denotes sparse logistic regression; SVM denotes support vector machine; ROAD denotes regularized optimal affine discriminant; and PCA denotes principal component analysis.
| Noise | sLDA | SPLS | SLR | SVM | ROAD | PCA | SWPCR |
|---|---|---|---|---|---|---|---|
| Type I | 0.28 | 0.43 | 0.45 | 0.38 | 0.36 | 0.36 | 0.10 |
| Type II | 0.27 | 0.08 | 0.18 | 0.26 | 0.08 | 0.45 | 0.03 |
| Type III | 0.52 | 0.30 | 0.61 | 0.60 | 0.50 | 0.35 | 0.09 |