Fig. 2.

Performances of the ten methods on two datasets. Fig. (A1–A3) are the classification performance of each method with top 1500 ranked gene list on TCGA dataset, and Fig. (B1–B3) are on GEO dataset. Fig. A1–B1, A2–B2, and A3–B3 are the comparison of SVM, GNB and Logistic Regression (LR) methods for both datasets, respectively. Each figure includes performance comparing the result of top 1500 ranked gene list, and a zoomed-in figure indicating the detail the of the top 100 ranked gene list. The accuracy data of PQLBoost and BVS-CLR methods are omitted after 1000 gene counts due to the need of enormous running time (exceeding 48 h).