10-fold cross-validation mean classification performance for MCI against CN of multi-functional features at p-value = 0.05 with In-house cohort.</p
<p>The correct rates (%) were derived with systematically varying number of labels (L), number of sa...
<p>The prediction performance of the final model using 18 features, by 10-fold cross validation.</p
<p>5 fold cross-validation classification performance, stability calculated as the Average Normalize...
10-fold cross-validation mean classification performance for AD against CN of multi-functional featu...
Leave-One-Out cross-validation mean classification performance for MCI against CN of multi-functiona...
Leave-One-Out cross-validation mean classification performance for AD versus CN of multi-measure fea...
Performance of different models on PF4204 dataset using 10-fold cross-validation method.</p
Performance of different models on PF2095 dataset using 10-fold cross-validation method.</p
<p>Performance comparisons of multiple individual classifiers on the training dataset by 10-fold cro...
<p>For the MLR, ANN and RF methods, 95% confidence intervals of the difference between the indicator...
<p>MCI converter/non-converter classification comparison of different combinations of feature select...
<p>Performance comparison among various types of sequence features and methods for the across-germli...
<p>Prediction performance of 10-fold cross-validation based on different encoding methods.</p
<p>Comparison of classification performance (20 runs of 10-fold cross-validation) on 40 UCI datasets...
<p>Shown is the mean performance for each machine learning method (see <a href="http://www.plosone.o...
<p>The correct rates (%) were derived with systematically varying number of labels (L), number of sa...
<p>The prediction performance of the final model using 18 features, by 10-fold cross validation.</p
<p>5 fold cross-validation classification performance, stability calculated as the Average Normalize...
10-fold cross-validation mean classification performance for AD against CN of multi-functional featu...
Leave-One-Out cross-validation mean classification performance for MCI against CN of multi-functiona...
Leave-One-Out cross-validation mean classification performance for AD versus CN of multi-measure fea...
Performance of different models on PF4204 dataset using 10-fold cross-validation method.</p
Performance of different models on PF2095 dataset using 10-fold cross-validation method.</p
<p>Performance comparisons of multiple individual classifiers on the training dataset by 10-fold cro...
<p>For the MLR, ANN and RF methods, 95% confidence intervals of the difference between the indicator...
<p>MCI converter/non-converter classification comparison of different combinations of feature select...
<p>Performance comparison among various types of sequence features and methods for the across-germli...
<p>Prediction performance of 10-fold cross-validation based on different encoding methods.</p
<p>Comparison of classification performance (20 runs of 10-fold cross-validation) on 40 UCI datasets...
<p>Shown is the mean performance for each machine learning method (see <a href="http://www.plosone.o...
<p>The correct rates (%) were derived with systematically varying number of labels (L), number of sa...
<p>The prediction performance of the final model using 18 features, by 10-fold cross validation.</p
<p>5 fold cross-validation classification performance, stability calculated as the Average Normalize...