Detailed learning curves, confusion matrices, and AUC-ROC curves of each repeated 5 × 5-fold cross-validation experiments. (PDF)</p
<p>Shown here are the ROC curve Area-Under-Curve (AUC) scores, sensitivities and specificities for t...
We represent each fold of our subjectwise 10-fold cross-validation with a separate curve. Across fol...
Accuracies of target identification results of the 10-fold cross-validation for a trial for m-sequen...
Detailed learning curves, confusion matrices, and AUC-ROC curves of each repeated 5 × 5-fold cross-v...
Detailed learning curves, confusion matrices, and AUC-ROC curves of each repeated 5 × 5-fold cross-v...
5 × 5-fold cross-validation results: Mean ROC curves and AUC scores (95% C.I.).</p
The ROC curves for 2-folds, 4-folds, 10-folds, and leave one subject out cross validation experiment...
<p>ROC curves for the three experimental settings (Multi-instance Learning, Multi-instance Learning ...
Results of five-fold cross-validation for U-Net and the proposed model in the test dataset.</p
<p>The ROC curves were obtained by computing the cumulative Hit and False Alarm rates for each confi...
<p>(A) ROC curves based on the three orthogonal ontologies of GO. The maximum AUC score was 0.71 whe...
<p>A) Discovery data (32,587 SNPs) B) Combined data (32,375 SNPs). Ten sets of training and testing ...
<p>ROC curves of cross-validated prediction for the super learner (SL) and the logistic step-wise re...
(A). ROC analysis comparing all listed methods for the same set of truth gene lists that were shared...
<p>Results are evaluated based on the benchmark dataset (A) and independent test dataset (B).</p
<p>Shown here are the ROC curve Area-Under-Curve (AUC) scores, sensitivities and specificities for t...
We represent each fold of our subjectwise 10-fold cross-validation with a separate curve. Across fol...
Accuracies of target identification results of the 10-fold cross-validation for a trial for m-sequen...
Detailed learning curves, confusion matrices, and AUC-ROC curves of each repeated 5 × 5-fold cross-v...
Detailed learning curves, confusion matrices, and AUC-ROC curves of each repeated 5 × 5-fold cross-v...
5 × 5-fold cross-validation results: Mean ROC curves and AUC scores (95% C.I.).</p
The ROC curves for 2-folds, 4-folds, 10-folds, and leave one subject out cross validation experiment...
<p>ROC curves for the three experimental settings (Multi-instance Learning, Multi-instance Learning ...
Results of five-fold cross-validation for U-Net and the proposed model in the test dataset.</p
<p>The ROC curves were obtained by computing the cumulative Hit and False Alarm rates for each confi...
<p>(A) ROC curves based on the three orthogonal ontologies of GO. The maximum AUC score was 0.71 whe...
<p>A) Discovery data (32,587 SNPs) B) Combined data (32,375 SNPs). Ten sets of training and testing ...
<p>ROC curves of cross-validated prediction for the super learner (SL) and the logistic step-wise re...
(A). ROC analysis comparing all listed methods for the same set of truth gene lists that were shared...
<p>Results are evaluated based on the benchmark dataset (A) and independent test dataset (B).</p
<p>Shown here are the ROC curve Area-Under-Curve (AUC) scores, sensitivities and specificities for t...
We represent each fold of our subjectwise 10-fold cross-validation with a separate curve. Across fol...
Accuracies of target identification results of the 10-fold cross-validation for a trial for m-sequen...
DOI
Add to ORKG