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Accuracy is the ultimate goal because it incorporates components necessary for both precision and comparability.
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This calls for improved reporting and comparability of the timing of psychosocial interventions and greater precision and comparability of the timing of outcome assessments.
All this has led to a dramatic reduction in interlaboratory variability and a marked improvement in the precision and comparability of values (28).
Also, by using the same source of information, this analysis has an advantage in terms of precision and comparability as the surveys used the same methodology and time lag for all countries.
Compared to Predpfam2go, Predcombine outperforms on both precision and recall.
The F-score combining both precision and recall is defined as F = 2 * Precision * Recall = (Precision + Recall).
Both precision and recall range from 0 to 1. Plotting precision against recall yields a curve.
Both precision and recall are improved by ∼8%.
Both precision and bias were expressed as ml/min.
For evaluating balance using both precision and recall, defined as follows: (7) F - measure = 2 * precision * recall precision + recall The authors declare that they have no competing interests.
Patient-reported outcomes (PROs) are essential when evaluating many new treatments in health care; yet, current measures have been limited by a lack of precision, standardization, and comparability of scores across studies and diseases.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com