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. 2021 Oct 22;22:514. doi: 10.1186/s12859-021-04443-7

Fig. 4.

Fig. 4

Summary results for each evaluation indicator under different number of features. a The horizontal axis indicates the number of features, and the vertical axis indicates the classification accuracy rate. b The horizontal axis indicates the number of features, and the vertical axis indicates the recall rate. c The horizontal axis indicates the number of features, and the vertical axis indicates the precision rate. d The horizontal axis represents the number of features, and the vertical axis represents false discovery rate (FDR) and miss discovery rate (MDR) for different number of features