<p>The optimal DI value of 1.67% computed according to the Younden index <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0010281#pone.0010281-Younden1" target="_blank">[34]</a> is shown as a black dot. Dashed line represents the ROC curve of a random classifier. Gray-shaded region indicates the area under the curve.</p
The ROC (Receiver Operating Characteristic) curve is a projection of two different cumulative distri...
<p>The color range from yellow to dark red is indicative of overall accuracy of the sample, where re...
<p>ROC curves for determining the sensitivity and specificity of the overall assessment of the PHD-P...
<p>ROC plot depicts a relative trade-off between true positive rate and false positive rate of the p...
<p>A ROC curve plots the true positive rate (i.e., sensitivity) against the false positive rate (i.e...
<p>Each ROC curve corresponds to predictions with specified (on the legend) size of the sliding wind...
The Areas Under the Curve and Standard Errors are reported under each subset.</p
<p>ROC curve analysis: Plot of sensitivity versus 1-specificity (PD-Q scale).</p
<p>The curve presents the true positive rate (or sensitivity) in function of false positive rate for...
The black dot on the curve represents cut off the predicted probability (0.339), and sensitivity and...
<p>The ROC curve for the binary classification of residues of reference multiple sequence alignments...
<p>Black, blue and green lines respectively represent the classification score (<i>precision</i>) ob...
<p>The area under curve was 0.787, and the optimal cutoff was grade 3 with 60% sensitivity and 91% s...
The areas under these curves can be found in the legend located on the right side. Grey crosses disp...
<p>ROC curve analysis for the association of the modified DIC score with the development of DIC.</p
The ROC (Receiver Operating Characteristic) curve is a projection of two different cumulative distri...
<p>The color range from yellow to dark red is indicative of overall accuracy of the sample, where re...
<p>ROC curves for determining the sensitivity and specificity of the overall assessment of the PHD-P...
<p>ROC plot depicts a relative trade-off between true positive rate and false positive rate of the p...
<p>A ROC curve plots the true positive rate (i.e., sensitivity) against the false positive rate (i.e...
<p>Each ROC curve corresponds to predictions with specified (on the legend) size of the sliding wind...
The Areas Under the Curve and Standard Errors are reported under each subset.</p
<p>ROC curve analysis: Plot of sensitivity versus 1-specificity (PD-Q scale).</p
<p>The curve presents the true positive rate (or sensitivity) in function of false positive rate for...
The black dot on the curve represents cut off the predicted probability (0.339), and sensitivity and...
<p>The ROC curve for the binary classification of residues of reference multiple sequence alignments...
<p>Black, blue and green lines respectively represent the classification score (<i>precision</i>) ob...
<p>The area under curve was 0.787, and the optimal cutoff was grade 3 with 60% sensitivity and 91% s...
The areas under these curves can be found in the legend located on the right side. Grey crosses disp...
<p>ROC curve analysis for the association of the modified DIC score with the development of DIC.</p
The ROC (Receiver Operating Characteristic) curve is a projection of two different cumulative distri...
<p>The color range from yellow to dark red is indicative of overall accuracy of the sample, where re...
<p>ROC curves for determining the sensitivity and specificity of the overall assessment of the PHD-P...