Performance metrics (cumulative false negative and true positive distributions and recall values) of the method as a function of the measured length of eels (cm) for the PLN-ARIS dataset.</p
<p>Performance comparison of many metrics, including CSR, , MML, CH, SI for all algorithms in Leukem...
<p>Typical performance metrics table that reports the number of True Negatives, False Positives, Fal...
Performance statistics of the tested algorithms at different activity levels.</p
Performance metrics of the method as a function of the detection range (m) for the PLN-ARIS dataset:...
<p>The metrics are calculated after combining the responses of all the experts using EM and then ass...
<p>Number of samples contained in positive/negative test set used for performance evaluation of MLLE...
(a) Overall performance metrics (Precision, Recall, F(0.5) score and MCC) depending on the probabili...
<p>The parantheses values correspond to (true positives, false positives) for precision and (true po...
<p>Accuracy (ACC), positive (PPV) and negative (NPV) predictive values of the tested algorithms.</p
Performance analysis in terms of the precision-recall curve of the proposed method.</p
<p>Pr1Rec, Pr10Rec, Pr50Rec, Pr80Rec represent precision at 1%, 10%, 50%, and 80% recall. The last r...
<p>The ratios of the number of positive samples to negative ones are from 1:1 to 1:10, respectively....
In each set of boxes corresponding to different sample size (SS) values, Precision, NA_perc (percent...
<p>The ratios of the number of positive samples to negative ones are from 1:1 to 1:10, respectively....
BWA-MEM2+Dragen-GATK reproducibility performance comparison: Numbers of true positive and false posi...
<p>Performance comparison of many metrics, including CSR, , MML, CH, SI for all algorithms in Leukem...
<p>Typical performance metrics table that reports the number of True Negatives, False Positives, Fal...
Performance statistics of the tested algorithms at different activity levels.</p
Performance metrics of the method as a function of the detection range (m) for the PLN-ARIS dataset:...
<p>The metrics are calculated after combining the responses of all the experts using EM and then ass...
<p>Number of samples contained in positive/negative test set used for performance evaluation of MLLE...
(a) Overall performance metrics (Precision, Recall, F(0.5) score and MCC) depending on the probabili...
<p>The parantheses values correspond to (true positives, false positives) for precision and (true po...
<p>Accuracy (ACC), positive (PPV) and negative (NPV) predictive values of the tested algorithms.</p
Performance analysis in terms of the precision-recall curve of the proposed method.</p
<p>Pr1Rec, Pr10Rec, Pr50Rec, Pr80Rec represent precision at 1%, 10%, 50%, and 80% recall. The last r...
<p>The ratios of the number of positive samples to negative ones are from 1:1 to 1:10, respectively....
In each set of boxes corresponding to different sample size (SS) values, Precision, NA_perc (percent...
<p>The ratios of the number of positive samples to negative ones are from 1:1 to 1:10, respectively....
BWA-MEM2+Dragen-GATK reproducibility performance comparison: Numbers of true positive and false posi...
<p>Performance comparison of many metrics, including CSR, , MML, CH, SI for all algorithms in Leukem...
<p>Typical performance metrics table that reports the number of True Negatives, False Positives, Fal...
Performance statistics of the tested algorithms at different activity levels.</p