Performance of different models on PF2095 dataset using 10-fold cross-validation method.</p
<p>The generalized performance of the SVM model. We rebuilt the model for 100 times for the validati...
<p>Accuracy of the models in the test phase and the 10-fold cross-validation.</p
10-fold cross-validation mean classification performance for AD against CN of multi-functional featu...
Performance of different models on PF4204 dataset using 10-fold cross-validation method.</p
Performance of different models on PF2095 dataset using hold-out validation method.</p
<p>Performance comparisons of multiple individual classifiers on the training dataset by 10-fold cro...
<p>Cross-validated performance estimates for single-source and multi-source models.</p
Performance of different modules on training sets using 5-fold cross-validation.</p
Performance metrics for spatial and linear models from 10-fold cross-validation simulations.</p
Model performances for models trained on all features restricted to tp0, tp1, tp2, tp0 + tp1 and all...
<p>The prediction performance of the final model using 18 features, by 10-fold cross validation.</p
Performance of different models on PF4204 dataset using hold-out validation method.</p
Accuracy measures for 10-fold cross-validation of Model 1 using the entire feature set for predictio...
<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>The generalized performance of the SVM model. We rebuilt the model for 100 times for the validati...
<p>Accuracy of the models in the test phase and the 10-fold cross-validation.</p
10-fold cross-validation mean classification performance for AD against CN of multi-functional featu...
Performance of different models on PF4204 dataset using 10-fold cross-validation method.</p
Performance of different models on PF2095 dataset using hold-out validation method.</p
<p>Performance comparisons of multiple individual classifiers on the training dataset by 10-fold cro...
<p>Cross-validated performance estimates for single-source and multi-source models.</p
Performance of different modules on training sets using 5-fold cross-validation.</p
Performance metrics for spatial and linear models from 10-fold cross-validation simulations.</p
Model performances for models trained on all features restricted to tp0, tp1, tp2, tp0 + tp1 and all...
<p>The prediction performance of the final model using 18 features, by 10-fold cross validation.</p
Performance of different models on PF4204 dataset using hold-out validation method.</p
Accuracy measures for 10-fold cross-validation of Model 1 using the entire feature set for predictio...
<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>The generalized performance of the SVM model. We rebuilt the model for 100 times for the validati...
<p>Accuracy of the models in the test phase and the 10-fold cross-validation.</p
10-fold cross-validation mean classification performance for AD against CN of multi-functional featu...
DOI
Add to ORKG