<p>Classification performance of all methods as a function of feature subset size, for a) first b) second, and c) third subjects.</p
<p>Classification accuracy (%) for all subjects using different feature extraction methods.</p
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
Performance comparison of different feature selection techniques on EN dataset in group AB.</p
<p>Classification performances of all methods as a function of feature subset size, for a) first b) ...
<p>Classification performance of all methods as a function of training set size, for a) first b) sec...
<p>Classification performances of the proposed method according to the number applied base classifie...
<p>The performances of the different classification algorithms as a function of the number of trials...
<p>The winning frequency is calculated for different feature selection methods for various sizes of ...
<p>The performance of different classifiers associated with the attribute selection methods assessed...
<p>The classification performances of the 3 best classifiers for the 3 datasets.</p
<p>Performance evaluation of various classifier and feature selection methods.</p
<p>(a) All the results; (b) Zoomed in to classification performance of between 0.96 and 1. The y-axi...
<p>Performance for all classification algorithms over all peak picking and peak clustering algorithm...
<p>Classification performance of the single metrics and multi-modal combinations.</p
<p>Classification performance achieved with different feature reduction techniques.</p
<p>Classification accuracy (%) for all subjects using different feature extraction methods.</p
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
Performance comparison of different feature selection techniques on EN dataset in group AB.</p
<p>Classification performances of all methods as a function of feature subset size, for a) first b) ...
<p>Classification performance of all methods as a function of training set size, for a) first b) sec...
<p>Classification performances of the proposed method according to the number applied base classifie...
<p>The performances of the different classification algorithms as a function of the number of trials...
<p>The winning frequency is calculated for different feature selection methods for various sizes of ...
<p>The performance of different classifiers associated with the attribute selection methods assessed...
<p>The classification performances of the 3 best classifiers for the 3 datasets.</p
<p>Performance evaluation of various classifier and feature selection methods.</p
<p>(a) All the results; (b) Zoomed in to classification performance of between 0.96 and 1. The y-axi...
<p>Performance for all classification algorithms over all peak picking and peak clustering algorithm...
<p>Classification performance of the single metrics and multi-modal combinations.</p
<p>Classification performance achieved with different feature reduction techniques.</p
<p>Classification accuracy (%) for all subjects using different feature extraction methods.</p
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
Performance comparison of different feature selection techniques on EN dataset in group AB.</p
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