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. 2017 Dec 1;11:639. doi: 10.3389/fnins.2017.00639

Figure 8.

Figure 8

Effect of sliding window length on classification results. (A) The effect of different sliding window lengths on the classification results based on high-order functional connectivity network classification method. (B) The effect of different sliding window lengths on the classification results based on HON-MST classification method. (A) Shows the curve of the accuracy, specificity, and sensitivity of the high-order functional connectivity network classification method of sliding windows with different lengths of 40, 50, 60, 70, 80, and 90 steps, respectively. (B) Shows the curve of the accuracy, specificity, and sensitivity of the HON-MST classification method of sliding windows with different lengths of 40, 50, 60, 70, 80, and 90 steps, respectively.