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However, despite an expectation that the clustering method that was most sensitive to subgroup differences (SNOB) would also be the most certain, this was not consistently observed, as the average classification certainty was not always higher for SNOB and the differences between the methods were typically small.
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This may have been due to a differential effect resulting from the amount of collinearity in these data, as independence of the included variables is a common assumption in clustering methods.> Classification certainty (probability) was not available for TwoStep but is displayed at a group-average level in Table 3 for Latent Gold and SNOB.
(d) The average classification accuracy of movement types using the z-scored MEG sensor signals (mean and 95% confidence interval).
Average classification accuracy.
Finally, the average classification rate is the mean of the success rate in classification.
The average classification and precision-recall results are reported.
However, average classification accuracy decreases when taking k2 into account.
Table 3 Average classification accuracy for direct versus hierarchical approaches.
Figure 7 Average classification accuracy over the three datasets.
Horizontal axis: input instances, vertical axis: average classification time (seconds).
Average classification accuracy is measured as the performance metric.
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