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Our data show that the responses of individual cells in IT were correlated with the average classification of the stimulus.
Domain features alone have an average classification of 67% and a correlation coefficient of 58.9% and therefore they form our best feature-set.
Given that the recorded IT neuron responds to a target feature contained within the image, the monkey's average classification of the AS, the interpretation of the AS, reflects attention (or lack of attention) to that feature.
We can then rank query diseases according to the average classification of the individuals in each disease set, and identify which of the query diseases are more similar to the reference disease.
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Given the training set of traces, we calculate the optimal order of magnitude of τ in terms of average classification accuracy of 3 test points.
Finally, the average classification accuracy of the K sets of model should be taken as the K - CV performance of the classifier.
> -wrap-foot> These results prove that our FS algorithm successfully discards irrelevant features, producing a dimensionality reduction of 75% and average classification improvement of 1.12% F-score.
This approach yields an average classification accuracy of 86.3%, based on a database of 250 classical music excerpts.
The use of PCA enhanced the best average classification accuracies of BP and SVM. Figure 3 shows the average variation in classification accuracies versus the number of principle components with respect to various classifiers.
An average classification accuracy of 80% was reported among different pairs of retained active channels.
Using the second database, with large fluctuations of illumination, the system produced an average classification rate of 90.75%.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com