Table 4 The lowest classification error rates achieved by different algorithms on the two data sets. All the methods used the promising CLS [17] linear classifier
From: SDRNF: generating scalable and discriminative random nonlinear features from data
| SDRNF | GEM | RKS | PCA | |
|---|---|---|---|---|
| MNIST | 1.55 | 1.12 | 2.27 | 9.34 |
| CIFAR-10 | 45.02 | 59.29 | 51.75 | 60.30 |