a<p>Prediction values were provided by Potapov et al. <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0047247#pone.0047247-Potapov1" target="_blank">[32]</a>.</p><p>AUC: area under ROC curve; ACC: accuracy; R: Pearson Correlation Coefficient.</p
<p>(<b>A</b>) ROCs of five different methods. The values in the brackets are the average auROCs of e...
<p>Each value is averaged over 100 independent runs with random divisions of training set and probe...
Receiver operating characteristic (ROC) analysis is used for comparing predictive models, both in mo...
<p>AUC: area under ROC curve; ACC: accuracy; R: Pearson Correlation Coefficient.</p
<p> <b>The AUC (ROC score) is the area under the ROC curve, normalized to 100 for a ...
§<p>PPV: positive predictive value;</p>¢<p>NPV: negative predictive value;</p>£<p>AUC: area under th...
Reliable estimation of the classification performance of inferred predictive models is difficult whe...
<p>Comparison of various prediction methods in terms of the area under the ROC curve (AUC).</p
<p>In each figure, the solid (<i>blue</i>) curve corresponds to the cross validation test on the sam...
<p>SE standard error of AUC <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.00...
Reliable estimation of the classification performance of learned predictive models is difficult, whe...
<p>The AUC is the integral of the area below the ROC curve, as shown in <a href="http://www.plosone....
<p>Red, blue, and green curve denotes 5-fold cross-validation prediction performance of Bi-profile B...
a<p>results from <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0040104#pone-...
<p><b>(A)</b> AUC of the three algorithms. AUC measures the area under the ROC curves. <b>(B)</b> Pe...
<p>(<b>A</b>) ROCs of five different methods. The values in the brackets are the average auROCs of e...
<p>Each value is averaged over 100 independent runs with random divisions of training set and probe...
Receiver operating characteristic (ROC) analysis is used for comparing predictive models, both in mo...
<p>AUC: area under ROC curve; ACC: accuracy; R: Pearson Correlation Coefficient.</p
<p> <b>The AUC (ROC score) is the area under the ROC curve, normalized to 100 for a ...
§<p>PPV: positive predictive value;</p>¢<p>NPV: negative predictive value;</p>£<p>AUC: area under th...
Reliable estimation of the classification performance of inferred predictive models is difficult whe...
<p>Comparison of various prediction methods in terms of the area under the ROC curve (AUC).</p
<p>In each figure, the solid (<i>blue</i>) curve corresponds to the cross validation test on the sam...
<p>SE standard error of AUC <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.00...
Reliable estimation of the classification performance of learned predictive models is difficult, whe...
<p>The AUC is the integral of the area below the ROC curve, as shown in <a href="http://www.plosone....
<p>Red, blue, and green curve denotes 5-fold cross-validation prediction performance of Bi-profile B...
a<p>results from <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0040104#pone-...
<p><b>(A)</b> AUC of the three algorithms. AUC measures the area under the ROC curves. <b>(B)</b> Pe...
<p>(<b>A</b>) ROCs of five different methods. The values in the brackets are the average auROCs of e...
<p>Each value is averaged over 100 independent runs with random divisions of training set and probe...
Receiver operating characteristic (ROC) analysis is used for comparing predictive models, both in mo...
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