<p>Sn: sensitivity (recall).</p><p>Pr: precision.</p><p>Sp: specificity.</p><p>Ac: accuracy.</p><p>MCC: Matthews correlation coefficient.</p
<p>Illustrates differences in screening predictions using predictive power and sensitivity/specifici...
<p>Each value is averaged over 100 independent runs with random divisions of training set and probe...
<p>Best and worst performance are selected based on MCC.</p>1<p>.</p>2<p>.</p>3<p>.</p>4<p>.</p
<p>Sn: sensitivity.</p><p>Sp: specificity.</p><p>Ac: accuracy.</p><p>MCC: Matthews correlation coeff...
<p>Sn: sensitivity.</p><p>Sp: specificity.</p><p>Ac: accuracy.</p><p>MCC: Matthews's correlation coe...
<p><i>F: F</i>-score; <i>P:</i> precision; <i>R:</i> recall; <i>Acc:</i> accuracy; <i>MCC:</i> Matth...
<p>Results are based on the Secreprot dataset with 20-fold cross validation.</p>a<p>MCC, Matthews co...
<p>For each method, the accuracy, the sensitivity, the specificity and the Matthews correlation coef...
Average accuracy, recall, precision, MCC, and AUC measures over 10 folds for the three effector pred...
<p>Performance comparison of different machine learning algorithms for the task of DNA methylation p...
<p>Each value is averaged over 100 independent runs with random divisions of training set and probe...
Comparison of existing dTm prediction methods dataset statistics Q (accuracy), MAE (mean absolute er...
<p><sup>a</sup>HumVar trained PolyPhen-2. The performance of this version was better than for HumDiv...
<p>Sn, sensitivity; Sp, specificity; Acc, accuracy; MCC, Matthews Correlation Coefficient.</p
The accuracy of a classification is fundamental to its interpretation, use and ultimately decision m...
<p>Illustrates differences in screening predictions using predictive power and sensitivity/specifici...
<p>Each value is averaged over 100 independent runs with random divisions of training set and probe...
<p>Best and worst performance are selected based on MCC.</p>1<p>.</p>2<p>.</p>3<p>.</p>4<p>.</p
<p>Sn: sensitivity.</p><p>Sp: specificity.</p><p>Ac: accuracy.</p><p>MCC: Matthews correlation coeff...
<p>Sn: sensitivity.</p><p>Sp: specificity.</p><p>Ac: accuracy.</p><p>MCC: Matthews's correlation coe...
<p><i>F: F</i>-score; <i>P:</i> precision; <i>R:</i> recall; <i>Acc:</i> accuracy; <i>MCC:</i> Matth...
<p>Results are based on the Secreprot dataset with 20-fold cross validation.</p>a<p>MCC, Matthews co...
<p>For each method, the accuracy, the sensitivity, the specificity and the Matthews correlation coef...
Average accuracy, recall, precision, MCC, and AUC measures over 10 folds for the three effector pred...
<p>Performance comparison of different machine learning algorithms for the task of DNA methylation p...
<p>Each value is averaged over 100 independent runs with random divisions of training set and probe...
Comparison of existing dTm prediction methods dataset statistics Q (accuracy), MAE (mean absolute er...
<p><sup>a</sup>HumVar trained PolyPhen-2. The performance of this version was better than for HumDiv...
<p>Sn, sensitivity; Sp, specificity; Acc, accuracy; MCC, Matthews Correlation Coefficient.</p
The accuracy of a classification is fundamental to its interpretation, use and ultimately decision m...
<p>Illustrates differences in screening predictions using predictive power and sensitivity/specifici...
<p>Each value is averaged over 100 independent runs with random divisions of training set and probe...
<p>Best and worst performance are selected based on MCC.</p>1<p>.</p>2<p>.</p>3<p>.</p>4<p>.</p
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