<p>ROC curve for the best model found on the reduced feature set (replication).</p
<p>ROC Curve of the linear regression equation proposed as a prediction model for AHI.</p
ROC curves of the methods with different features for representing images and different classifiers....
<p>Receiver operating characteristic (ROC) curves for different machine learning models.</p
<p>ROC curve for the best model found on the reduced feature set (discovery).</p
<p>ROC curve for logistic regression, the best model found on the reduced feature set (discovery).</...
<p>ROC curve for the best classification models resulting from the LOO validation (ranking based on ...
ROC curves for the top performing model compared to individual feature predictions.</p
<p>ROC curve and prediction parameters for optimal thresholds in all tested methods.</p
<p>ROC curves for the best result in Experiment 4 (Non correlated features at 97%).</p
ROC curves of the model under non-feature selection, feature selection, and mixed sampling.</p
ROC curves of the PR (a) and CR (b) model for the best and worst training (solid) and the validation...
<p>ROC curves for the two models of the development set using leave-one-out cross-validation (LOOCV)...
ROC curves for logistic regression models for each outcome, using penalised regression of full paren...
<p>ROC curve calculated using the development SAMPE model dataset compared to the ASA model.</p
<p>The ROC curves for evaluating the quality of the algorithms over the entire test datasets.</p
<p>ROC Curve of the linear regression equation proposed as a prediction model for AHI.</p
ROC curves of the methods with different features for representing images and different classifiers....
<p>Receiver operating characteristic (ROC) curves for different machine learning models.</p
<p>ROC curve for the best model found on the reduced feature set (discovery).</p
<p>ROC curve for logistic regression, the best model found on the reduced feature set (discovery).</...
<p>ROC curve for the best classification models resulting from the LOO validation (ranking based on ...
ROC curves for the top performing model compared to individual feature predictions.</p
<p>ROC curve and prediction parameters for optimal thresholds in all tested methods.</p
<p>ROC curves for the best result in Experiment 4 (Non correlated features at 97%).</p
ROC curves of the model under non-feature selection, feature selection, and mixed sampling.</p
ROC curves of the PR (a) and CR (b) model for the best and worst training (solid) and the validation...
<p>ROC curves for the two models of the development set using leave-one-out cross-validation (LOOCV)...
ROC curves for logistic regression models for each outcome, using penalised regression of full paren...
<p>ROC curve calculated using the development SAMPE model dataset compared to the ASA model.</p
<p>The ROC curves for evaluating the quality of the algorithms over the entire test datasets.</p
<p>ROC Curve of the linear regression equation proposed as a prediction model for AHI.</p
ROC curves of the methods with different features for representing images and different classifiers....
<p>Receiver operating characteristic (ROC) curves for different machine learning models.</p
DOI
Add to ORKG