<p>(a)–(e): precision-recall curves for different methods on <sup>15</sup>N-HSQC, HNCO, HNCA, CBCA(CO)NH and NHCACB, respectively. The solid black curves are for B-H consensus method; the dashed black curves are for the 1.5 consensus method; the solid cyan curves are for B-H WaVPeak; the dashed cyan curves are for the original WaVPeak; the solid magenta curves are for B-H PICKY; and the dashed magenta curves are for the original PICKY. The relative area under curve (AUC) values are in legends, which are the area under curve over the total area of recall at least 0.7. (f): sensitivity analysis for different number of peaks. The precision and recall values of B-H WaVPeak are shown when , , and top peaks are used to calculate the p-values.</...
<p>Precision-Recall curve (continuous line) and MCC-Recall curve (dashed line) for RegnANN on a synt...
<p>(<b>A</b>) ROCs of five different methods. The values in the brackets are the average auROCs of e...
Abstract. The area under the precision-recall curve (AUCPR) is a sin-gle number summary of the infor...
<p>PR curves (recall in horizontal axis, precision in vertical axis) of all the benchmarks (B1–B7) f...
Precision-Recall analysis abounds in applications of binary classification where true negatives do n...
<p>The blue and the red curve indicate estimators of the best and the worst curve, respectively. The...
<p>The AUCs are calculated in the recall (<i>x</i>)-precision (<i>y</i>) plane. The best precision a...
Precision recall curves (pr-curves) and the associated area under (AUPRC) are commonly used to asses...
(A) Prediction of “Benign” broader class versus “Pathogenic” broader class and “VUS” class (B) Predi...
<p>A: Precision-recall curves of validation data sets. B: Precision-recall curves of test data sets....
<p>Precision-recall (PR) curves for CLO-SWTH: training set (blue, obtained via 5-fold cross validati...
Precision recall curves for the top performing model compared to individual feature predictions.</p
<p>Precision-recall curves for neighbor counting (NC), Markov random field (MRF) and the current stu...
(A) Prediction of “Benign” broader class versus “Pathogenic” broader class and “VUS” class (B) Predi...
<p>Precision-Recall curves for the three experimental settings (Multi-instance Learning, Multi-insta...
<p>Precision-Recall curve (continuous line) and MCC-Recall curve (dashed line) for RegnANN on a synt...
<p>(<b>A</b>) ROCs of five different methods. The values in the brackets are the average auROCs of e...
Abstract. The area under the precision-recall curve (AUCPR) is a sin-gle number summary of the infor...
<p>PR curves (recall in horizontal axis, precision in vertical axis) of all the benchmarks (B1–B7) f...
Precision-Recall analysis abounds in applications of binary classification where true negatives do n...
<p>The blue and the red curve indicate estimators of the best and the worst curve, respectively. The...
<p>The AUCs are calculated in the recall (<i>x</i>)-precision (<i>y</i>) plane. The best precision a...
Precision recall curves (pr-curves) and the associated area under (AUPRC) are commonly used to asses...
(A) Prediction of “Benign” broader class versus “Pathogenic” broader class and “VUS” class (B) Predi...
<p>A: Precision-recall curves of validation data sets. B: Precision-recall curves of test data sets....
<p>Precision-recall (PR) curves for CLO-SWTH: training set (blue, obtained via 5-fold cross validati...
Precision recall curves for the top performing model compared to individual feature predictions.</p
<p>Precision-recall curves for neighbor counting (NC), Markov random field (MRF) and the current stu...
(A) Prediction of “Benign” broader class versus “Pathogenic” broader class and “VUS” class (B) Predi...
<p>Precision-Recall curves for the three experimental settings (Multi-instance Learning, Multi-insta...
<p>Precision-Recall curve (continuous line) and MCC-Recall curve (dashed line) for RegnANN on a synt...
<p>(<b>A</b>) ROCs of five different methods. The values in the brackets are the average auROCs of e...
Abstract. The area under the precision-recall curve (AUCPR) is a sin-gle number summary of the infor...