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. Author manuscript; available in PMC: 2009 Apr 2.
Published in final edited form as: Neuroinformatics. 2009 Jan 28;7(1):37–53. doi: 10.1007/s12021-008-9041-y

Figure 4.

Figure 4

Feature selection stability maps for the CATS vs. SCISSORS classification. The color maps show the fraction of cross-validation folds in which each particular voxel is selected by various feature selection methods used by the classifiers listed in Table 1: 5% highest ANOVA F-scores (A), 5% highest weights from trained SVM (B), RFE using SVM weights as selection criterion (C), internal feature selection performed by the SMLR classifier with penalty term 0.1 (D), 1 (E) and 10 (F). All methods reliably identify a cluster of voxels in the left fusiform cortex, centered around MNI: -34, -43, -20 mm. All stability maps are thresholded arbitrarily at 0.5 (6 out of 12 cross-validation folds).