<p>Black, blue and green lines respectively represent the classification score (<i>precision</i>) obtained by averaged bins, and by measurements selected in decreasing and increasing Mutual Information order.</p
<p>ROC curve illustrating the area under the curve for disorder strength and cancer prediction.</p
Area under the ROC curve sensitivity = 77.5%, specificity = 61.3%, AUC = 0.751 with cutoff = 0.488.<...
The authors provide a simple calculation for the unbiased estimation of the area under the ROC curve...
<p>The optimal DI value of 1.67% computed according to the Younden index <a href="http://www.plosone...
<p>Each ROC curve corresponds to predictions with specified (on the legend) size of the sliding wind...
<p>Black, blue and green lines respectively represent the classification score (<i>precision</i>) ob...
<p>The ROC curve for the binary classification of residues of reference multiple sequence alignments...
<p>Values of the area under the ROC curve (95% confidence interval) (white cells) and % change for d...
The Areas Under the Curve and Standard Errors are reported under each subset.</p
<p>The color range from yellow to dark red is indicative of overall accuracy of the sample, where re...
<p>This translated into a sensitivity = 88% and specificity = 72% for discriminating between progres...
<p>A<sub>z</sub> (Area Under the Curve) and 95% confidence interval in parenthesis.</p
<p>The curves A–D present the receiver-operator-characteristics curves of the parameters measured, d...
<p>ROC curves for each of the three pairs of subjects (columns), presented in terms of overall pair ...
<p>The area under curve was 0.787, and the optimal cutoff was grade 3 with 60% sensitivity and 91% s...
<p>ROC curve illustrating the area under the curve for disorder strength and cancer prediction.</p
Area under the ROC curve sensitivity = 77.5%, specificity = 61.3%, AUC = 0.751 with cutoff = 0.488.<...
The authors provide a simple calculation for the unbiased estimation of the area under the ROC curve...
<p>The optimal DI value of 1.67% computed according to the Younden index <a href="http://www.plosone...
<p>Each ROC curve corresponds to predictions with specified (on the legend) size of the sliding wind...
<p>Black, blue and green lines respectively represent the classification score (<i>precision</i>) ob...
<p>The ROC curve for the binary classification of residues of reference multiple sequence alignments...
<p>Values of the area under the ROC curve (95% confidence interval) (white cells) and % change for d...
The Areas Under the Curve and Standard Errors are reported under each subset.</p
<p>The color range from yellow to dark red is indicative of overall accuracy of the sample, where re...
<p>This translated into a sensitivity = 88% and specificity = 72% for discriminating between progres...
<p>A<sub>z</sub> (Area Under the Curve) and 95% confidence interval in parenthesis.</p
<p>The curves A–D present the receiver-operator-characteristics curves of the parameters measured, d...
<p>ROC curves for each of the three pairs of subjects (columns), presented in terms of overall pair ...
<p>The area under curve was 0.787, and the optimal cutoff was grade 3 with 60% sensitivity and 91% s...
<p>ROC curve illustrating the area under the curve for disorder strength and cancer prediction.</p
Area under the ROC curve sensitivity = 77.5%, specificity = 61.3%, AUC = 0.751 with cutoff = 0.488.<...
The authors provide a simple calculation for the unbiased estimation of the area under the ROC curve...
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