<p>The classification accuracy for the various imputation approaches, averaged over all the class definitions and subsets.</p
<p>Comparison of the average classification accuracies of different algorithms for different numbers...
<p>Classification accuracy of MLPD and SLPD with respect to different predefined threshold .</p
Train and test accuracy for selected classifiers for different projection methods.</p
<p>The classification accuracy for various feature subsets, averaged over all the class definitions....
<p>Classification accuracy comparison of the proposed research with the state-of-the-art methods.</p
<p>Classification accuracy comparison of the proposed research with the state-of-the-art methods.</p
<p>Classification accuracy comparison with PIWAH, TIWAH and proposed research.</p
Comparison of classification accuracy while using different sizes of vocabulary.</p
<p>Classification accuracy (%) for all subjects using different feature extraction methods.</p
<p>The classification accuracy for all nine class definitions on the <i>No_sparse_features_0</i>.<i>...
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
<p>The average accuracy of different regions and the average accuracy over all regions based on diff...
<p>Average detection accuracy across all subjects under different situations.</p
Comparisons of average classifier precision with existing FS methods [29, 37, 39, 48].</p
<p>Accuracies are mean accuracies of test set performance over ten folds. (* 0.001</p
<p>Comparison of the average classification accuracies of different algorithms for different numbers...
<p>Classification accuracy of MLPD and SLPD with respect to different predefined threshold .</p
Train and test accuracy for selected classifiers for different projection methods.</p
<p>The classification accuracy for various feature subsets, averaged over all the class definitions....
<p>Classification accuracy comparison of the proposed research with the state-of-the-art methods.</p
<p>Classification accuracy comparison of the proposed research with the state-of-the-art methods.</p
<p>Classification accuracy comparison with PIWAH, TIWAH and proposed research.</p
Comparison of classification accuracy while using different sizes of vocabulary.</p
<p>Classification accuracy (%) for all subjects using different feature extraction methods.</p
<p>The classification accuracy for all nine class definitions on the <i>No_sparse_features_0</i>.<i>...
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
<p>The average accuracy of different regions and the average accuracy over all regions based on diff...
<p>Average detection accuracy across all subjects under different situations.</p
Comparisons of average classifier precision with existing FS methods [29, 37, 39, 48].</p
<p>Accuracies are mean accuracies of test set performance over ten folds. (* 0.001</p
<p>Comparison of the average classification accuracies of different algorithms for different numbers...
<p>Classification accuracy of MLPD and SLPD with respect to different predefined threshold .</p
Train and test accuracy for selected classifiers for different projection methods.</p
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