Balanced accuracy of the classifier for each test round with random classifier.</p
Comparison of classification accuracy while using different sizes of vocabulary.</p
<p>The balanced accuracies were calculated by 10-fold cross-validation. Values represent the mean ± ...
Comparisons of average classifier precision with existing FS methods [29, 37, 39, 48].</p
When a classifier A outperforms a classifier B according to the Balanced Accuracy.</p
Biclustering of the 16 classifiers and 14 datasets according to Balanced Accuracy.</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....
BCI competition IV dataset 1 classification accuracy (%) with different classifiers.</p
BCI competition III dataset 4a classification accuracy (%) with different classifiers.</p
Performance of machine learning models on test set using the SMOTE-adjusted balanced training set.</...
Test accuracy, for pre-trained (top) and randomly initialized (bottom) networks.</p
<p>Performance of the random forest classifier for the positive class in 10-fold cross-validation.</...
Classification test accuracies in percents for the individual classifiers and for each data set in t...
<p>The classification accuracy for the various imputation approaches, averaged over all the class de...
<p>Comparisons of ROCs based on the testing dataset for the total of 7 classifiers.</p
Comparison of classification accuracy while using different sizes of vocabulary.</p
<p>The balanced accuracies were calculated by 10-fold cross-validation. Values represent the mean ± ...
Comparisons of average classifier precision with existing FS methods [29, 37, 39, 48].</p
When a classifier A outperforms a classifier B according to the Balanced Accuracy.</p
Biclustering of the 16 classifiers and 14 datasets according to Balanced Accuracy.</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....
BCI competition IV dataset 1 classification accuracy (%) with different classifiers.</p
BCI competition III dataset 4a classification accuracy (%) with different classifiers.</p
Performance of machine learning models on test set using the SMOTE-adjusted balanced training set.</...
Test accuracy, for pre-trained (top) and randomly initialized (bottom) networks.</p
<p>Performance of the random forest classifier for the positive class in 10-fold cross-validation.</...
Classification test accuracies in percents for the individual classifiers and for each data set in t...
<p>The classification accuracy for the various imputation approaches, averaged over all the class de...
<p>Comparisons of ROCs based on the testing dataset for the total of 7 classifiers.</p
Comparison of classification accuracy while using different sizes of vocabulary.</p
<p>The balanced accuracies were calculated by 10-fold cross-validation. Values represent the mean ± ...
Comparisons of average classifier precision with existing FS methods [29, 37, 39, 48].</p
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