Figures 4 and 5 show the overall comparison results of existing methods in terms of various evaluation metrics, including Precision, Recall, F-measure, Sensitivity, PPV and Accuracy for DIP and Krogan data, respectively — we have also included the Sensitivity, PPV and Accuracy measures here for completeness.
The 'Gold Standard' 24 h urine method was used to measure salt intake with standard checks for completeness of the specimens based on urine volume and urine creatinine excretion.
Recall which is similar to sensitivity or TPR is the measure of completeness i.e. for all data instances with class value X, how many of these instances are correctly captured.
Primary outcome, seven process measures and two secondary outcomes measures were evaluated for completeness of data and sensitivity to detect changes.
For each k, we evaluate the prediction accuracy through precision (a measure of exactness) and recall (a measure of completeness), combined into F-score.
The protein and EST references were aligned against the contigs using GenomeThreader [ 35] and the coverage of the query sequences against the homologous regions was measured as a proxy for completeness of the respective gene locus and to evaluate assembly correctness on gene containing regions on the Hordeum contigs (Additional file 12: Table S5).
Appropriate measure was taken on time for completeness before data entry.
However, there is no formal or quantitative correctness or completeness measure for archetype content.
For completeness, we measured the performance for both, 2048 and 1024 bit RSA keys where applicable.
While we studied completeness of fields as a measure for EMR usage, we recognize that completeness is only one dimension of data quality [ 32].
