<p>(dot, average accuracy statistics of the 50 random samples; error bar, one standard deviation away from the average; two figures below, zoomed from a and b, respectively, to highlight the trends for the RF, SVM, and WKNN).</p
<p>The classification accuracy is plotted over different number of training samples. For a given num...
<p>Abbreviations: TP – number of true positives, FN-false negatives, FP-false positives, TN-true neg...
<p>Panel A: Movement time (ms) as a function of training group, Panel B: mean end-point variability ...
<p>Overall accuracies (%), kappa coefficients and classification speed using various classifiers bas...
<p>(A) Classification accuracy when the number of channels was reduced. The bold black, red, and blu...
<p>Each gray line shows the accuracy difference when one subject’s deceptive data is used as test, a...
(a) and (b) show the box plot of the five-class classification accuracy with RF and SVM, respectivel...
Average influence of ratio of training samples on accuracy with INysCK and MINysCK and corresponding...
Boxplot of 6 fold (5 fold for 4 subjects) out-of-sample classification accuracies from real data of ...
<p>All pairwise differences between conditions are statistically significant except those bars joine...
<p>Accuracies for the 12 participants for each type of classification are summarized in a boxplot. O...
<p>Left part: sensitivity, specificity, and generalization rate of the classification model; right p...
<p><b>Copyright information:</b></p><p>Taken from "Improved variance estimation of classification pe...
<p><i>Note</i>: OA and KC denote overall accuracy (%) and kappa coefficient, respectively.</p
<p>For incremental learning, averaged accuracies of individual subject classifiers were shown with r...
<p>The classification accuracy is plotted over different number of training samples. For a given num...
<p>Abbreviations: TP – number of true positives, FN-false negatives, FP-false positives, TN-true neg...
<p>Panel A: Movement time (ms) as a function of training group, Panel B: mean end-point variability ...
<p>Overall accuracies (%), kappa coefficients and classification speed using various classifiers bas...
<p>(A) Classification accuracy when the number of channels was reduced. The bold black, red, and blu...
<p>Each gray line shows the accuracy difference when one subject’s deceptive data is used as test, a...
(a) and (b) show the box plot of the five-class classification accuracy with RF and SVM, respectivel...
Average influence of ratio of training samples on accuracy with INysCK and MINysCK and corresponding...
Boxplot of 6 fold (5 fold for 4 subjects) out-of-sample classification accuracies from real data of ...
<p>All pairwise differences between conditions are statistically significant except those bars joine...
<p>Accuracies for the 12 participants for each type of classification are summarized in a boxplot. O...
<p>Left part: sensitivity, specificity, and generalization rate of the classification model; right p...
<p><b>Copyright information:</b></p><p>Taken from "Improved variance estimation of classification pe...
<p><i>Note</i>: OA and KC denote overall accuracy (%) and kappa coefficient, respectively.</p
<p>For incremental learning, averaged accuracies of individual subject classifiers were shown with r...
<p>The classification accuracy is plotted over different number of training samples. For a given num...
<p>Abbreviations: TP – number of true positives, FN-false negatives, FP-false positives, TN-true neg...
<p>Panel A: Movement time (ms) as a function of training group, Panel B: mean end-point variability ...
DOI
Add to ORKG