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The Performance of Linear and Non-linear SVM Classifiers.

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https://figshare.com/articles/dataset/_The_Performance_of_Linear_and_Non_linear_SVM_Classifiers_/566268
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Overall performance of the linear and non-linear SVMs when using either the spectrograms (time and frequency information) or the PSDs (only frequency information) of the calls. The C and σ parameters of the best classifiers are presented. The correlation with the bats' performance is the linear correlation coefficient between the bats' performance and the distances from the hyperplane, \as explained in the Materials and Methods. This is the parameter used to choose the most suitable model. The identical decisions depict the percent of trials in which the model made the same decision as the bat. The percent of identical decisions expected by chance for two classifiers are given in brackets along with the corresponding performance.
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2013-02-21
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