Skip to main content
Fig. 4 | BMC Bioinformatics

Fig. 4

From: ILRC: a hybrid biomarker discovery algorithm based on improved L1 regularization and clustering in microarray data

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

Back to article page

BMC Bioinformatics

ISSN: 1471-2105

Contact us