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. Author manuscript; available in PMC: 2014 Mar 13.
Published in final edited form as: JAMA Psychiatry. 2013 Aug;70(8):869–879. doi: 10.1001/jamapsychiatry.2013.104

Figure 3. Classification Analysis and Accuracy.

Figure 3

A, Classification analysis flowchart. The 10 components identified from each participant served as features to be input into classification analyses. A linear classifier built using logistic regression was used to classify children with autism spectrum disorder (ASD) from typically developing (TD) children. B, Classification accuracy for brain networks. The salience network produced the highest classification accuracy at 78% (P = .02). DMN indicates default mode network.