<p>(A) ROC curve intersected by the dashed line used to select the classificaction threshold. (B) True positive rate and false positive rate compared for different classification thresholds (in %ANI to the whole phage database). The vertical dashed line indicates the selected classification threshold.</p
<p>Threshold-averaged ROC as obtained in the validation runs using labeled data. The curves correspo...
ROC curves displaying the diagnostic performance for MD, MK, and MD-MK in assessing different levels...
<p>ROC plot depicts a relative trade-off between true positive rate and false positive rate of the p...
<p>The ROC curve showing the tradeoff between the True Positive Rate (sensitivity) and the False Pos...
<p>The curve presents the true positive rate (or sensitivity) in function of false positive rate for...
<p>True positive rate is denoted TPR and false positive rate is denoted FPR in the Figure. A. Evalua...
<p>a) IL-10 ROC curve, b) IL-6 ROC curve, c) IL-10/IL-6 ROC curve. The vertical axis represents the ...
<p>Each point in the ROC curve is obtained by choosing a different threshold for calling differentia...
<p>Receiver Operating Characteristic (ROC) curve for threshold of likelihood ratio test: Benchmarks ...
<p>Displaying the tradeoff between the sensitivity (true positive rate) and the 1-specificity (false...
The diagonal grey line represents classifier models that randomly assign compounds to bioactivity cl...
<p>ROC curve and prediction parameters for optimal thresholds in all tested methods.</p
ROC curves displaying the diagnostic performance for MD, MK, and MD-MK in assessing different levels...
<p>Numbers around the curve are the correct classification rates (%) corresponding to different sens...
ROC curves visualizing correct identification of HCM among male and female subjects, p values repres...
<p>Threshold-averaged ROC as obtained in the validation runs using labeled data. The curves correspo...
ROC curves displaying the diagnostic performance for MD, MK, and MD-MK in assessing different levels...
<p>ROC plot depicts a relative trade-off between true positive rate and false positive rate of the p...
<p>The ROC curve showing the tradeoff between the True Positive Rate (sensitivity) and the False Pos...
<p>The curve presents the true positive rate (or sensitivity) in function of false positive rate for...
<p>True positive rate is denoted TPR and false positive rate is denoted FPR in the Figure. A. Evalua...
<p>a) IL-10 ROC curve, b) IL-6 ROC curve, c) IL-10/IL-6 ROC curve. The vertical axis represents the ...
<p>Each point in the ROC curve is obtained by choosing a different threshold for calling differentia...
<p>Receiver Operating Characteristic (ROC) curve for threshold of likelihood ratio test: Benchmarks ...
<p>Displaying the tradeoff between the sensitivity (true positive rate) and the 1-specificity (false...
The diagonal grey line represents classifier models that randomly assign compounds to bioactivity cl...
<p>ROC curve and prediction parameters for optimal thresholds in all tested methods.</p
ROC curves displaying the diagnostic performance for MD, MK, and MD-MK in assessing different levels...
<p>Numbers around the curve are the correct classification rates (%) corresponding to different sens...
ROC curves visualizing correct identification of HCM among male and female subjects, p values repres...
<p>Threshold-averaged ROC as obtained in the validation runs using labeled data. The curves correspo...
ROC curves displaying the diagnostic performance for MD, MK, and MD-MK in assessing different levels...
<p>ROC plot depicts a relative trade-off between true positive rate and false positive rate of the p...