Fig. 2From: ILRC: a hybrid biomarker discovery algorithm based on improved L1 regularization and clustering in microarray dataClassification accuracy of different classification models. The result is the average of all data sets. The horizontal axis represents the number of features selected, and the vertical axis represents the average classification accuracy. The Focus Area in the figure is the range of the number of features that researchers are concerned aboutBack to article page