Table 3.

Model performance for the MKL and SVM whole brain models distinguishing between ‘famous faces’ (F) and ‘non-famous faces’ (N)

Model	Atlas	Balanced accuracy (%)	True positives (F)/ Total positives	True negatives (N)/ Total negatives
MKL	AAL	73.08 (p = 0.01)	20/26	18/26
	Brodmann	75.00 (p = 0.02)	19/26	20/26
	HCP	67.31 (p = 0.11)	19/26	16/26
SVM	AAL	65.38 (p = 0.05)	17/26	17/26
	Brodmann	67.31 (p = 0.04)	18/26	19/26
	HCP	67.31 (p = 0.04)	18/26	18/26

True positives (resp. negatives) represent the class accuracy for ‘famous faces’ (resp. ‘non-famous faces’) samples classified correctly as ‘famous faces’ (resp. ‘non-famous faces’). Note that the difference between the SVM models is only the mask used to select the voxels, which is based on the atlas