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No significant difference was found between the classification accuracies calculated with W = 5 and W = 10.
Furthermore, based on the fact that there was variability between the classification accuracies of the different channels, a decision fusion rule based on the WMV may be more convenient for combining the decisions than other rules such as the majority voting as concluded in [41].
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The relationship between the classification accuracy of the two algorithms and the effective data ratio is shown in Fig. 7.
For each kind of prototype, the proposed approach allows to identify one or many prototypes per class, in order to manage the trade-off between the classification accuracy and the classification time.
The differences between the classification accuracy of each species ranged from 60%to100%0%.
So there was no consistent relationship between the classification accuracy and M, which was also pointed out in [ 37].
Therefore, to make a compromise between the classification accuracy and the delay time, the data length of 300 ms serves as a suitable choice.
For between-subject analysis, we z-transformed the classification accuracies, using a normal approximation to the binomial distribution.
A t-test between groups showed a statistically significant difference in the classification accuracy between PWP and PNP group (p = 0.0211) and between AB and PWP group (p = 0.009) but no statistically significant difference between AB and PNP group (p = 0.7413).
The comparison of the classification accuracy between this method and the traditional pixel-based method indicates that the total accuracy is improved from 69.12% to 89.40%.
The classification accuracy between ASD and HC using functional connectivity was best in the insular cortex using the same ABIDE data as the current study [ 22].
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