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Both fuzzy-rough methods, FQR and FRFS, choose 11 out of the original 38 features (but not the same features). The results of these approaches can be seen in Figure 12.13. Again, the results show that both FQR and FRFS outperform the unreduced approach on the whole. The best classi cation accuracy obtained for FQR was 72.1% using the training data,. 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