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Average classification accuracy for the face dataset, the nuclei dataset, and the animal face dataset, calculated from ten-fold cross validation using linear SVM in the PCANet feature space and the Radon-CDT spaces.
| Classification comparison | Linear SVM | |
|---|---|---|
| PCANet | Radon-CDT | |
| Face dataset | 84.12 ± 11.7 | 82.62 ± 11.5 |
| Nuclei dataset | 74.16 ± 4.36 | 75.56 ± 6.21 |
| Animal face dataset | 80.81 ± 5.1 | 79.42 ± 6.12 |
