<p>Percentage of parameter configurations where the classifier in row had an higher accuracy than the classifier in column . The last column shows the percentage of configurations in which each respective classifier provided the highest accuracy.</p
<p>Comparison of prediction performance of classifiers in terms of F2 score, at different levels hie...
BCI competition IV dataset 1 classification accuracy (%) of dataset 1 with proposed method compared ...
Comparisons of average classifier precision with existing FS methods [29, 37, 39, 48].</p
<p>Accuracy percentages of six different classifiers used after the first selection stage in 10-fold...
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
<p>Ranking of classifiers in DB10F considering the best configuration of parameters among the 1,000 ...
Similarity percentages (SIMPER) indicating the most abundant genera contributing to the discriminati...
The range of parameter values when the classification accuracy is located in the top 20% based on FS...
<p>Relative performance (in %) of our adapted algorithms with respect to their baseline.</p
<p>Shows for what percentage of users, the different logarithmic band-power features were selected i...
<p>Comparison of the average precision rates, recall rates and F1 values for the different classific...
Relative change in matched rank for non-manipulating participants based on percentage of manipulatin...
BCI competition III dataset 4a classification accuracy (%) with different classifiers.</p
<p>Classification accuracy (%) for all subjects using different feature extraction methods.</p
BCI competition IV dataset 1 classification accuracy (%) with different classifiers.</p
<p>Comparison of prediction performance of classifiers in terms of F2 score, at different levels hie...
BCI competition IV dataset 1 classification accuracy (%) of dataset 1 with proposed method compared ...
Comparisons of average classifier precision with existing FS methods [29, 37, 39, 48].</p
<p>Accuracy percentages of six different classifiers used after the first selection stage in 10-fold...
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
<p>Ranking of classifiers in DB10F considering the best configuration of parameters among the 1,000 ...
Similarity percentages (SIMPER) indicating the most abundant genera contributing to the discriminati...
The range of parameter values when the classification accuracy is located in the top 20% based on FS...
<p>Relative performance (in %) of our adapted algorithms with respect to their baseline.</p
<p>Shows for what percentage of users, the different logarithmic band-power features were selected i...
<p>Comparison of the average precision rates, recall rates and F1 values for the different classific...
Relative change in matched rank for non-manipulating participants based on percentage of manipulatin...
BCI competition III dataset 4a classification accuracy (%) with different classifiers.</p
<p>Classification accuracy (%) for all subjects using different feature extraction methods.</p
BCI competition IV dataset 1 classification accuracy (%) with different classifiers.</p
<p>Comparison of prediction performance of classifiers in terms of F2 score, at different levels hie...
BCI competition IV dataset 1 classification accuracy (%) of dataset 1 with proposed method compared ...
Comparisons of average classifier precision with existing FS methods [29, 37, 39, 48].</p