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Namely, recall that the synthetic network data encompasses "co-complex" PPIs obtained by AP/MS, among other PPI types, while the real-world network data consists of "binary" Y2H PPIs (" Data sets").
Three different quantitative metrics, namely, Recall, Precision, and F-measure, were adopted.
The common evaluation metrics were used, namely Recall = TP/ TP + FN), Precision = TP/ TP + FP) and F1 = 2 × Precision × Recall/ Precision + Recall), were TP refers to true positives, FP to false positives, and FN refers to false negatives.
To compare with Combo, the same metrics, namely, recall, precision, and F-score (defined as F = (2 PR)/(P + R) where P denotes precision and R recall) used in [ 7], are employed to evaluate KM's performance.
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Harry decides his chief peacetime duty is to use his gift for gab to further his "overriding purpose," namely: "By recalling the past and freezing the present he could open the gates of time and through them see all allegedly sequential things as a single masterwork with neither boundaries nor divisions".
They report on obtaining self-reported affective (mental) states namely "Thinking", "Recalling", "Concentrating", "Tired", "Relaxed" and "Satisfied".
I remember doing what most of you are too young to recall, namely, sitting on my bed after putting a new copy of Secondhand Daylight on the turntable.
The quality of the various rankings produced is assessed by measuring the numbers of true and false positive predictions on the top pairs and usual related quantities, namely precision (Pr), recall (Rc) and F-score.
In order to evaluate our proposal, we considered three quality measures broadly used, namely the recall, the precision and the F-measure [11, 12].
The classification performance is measured using the following standard measures of performance, namely, Precision, Recall, F-measure, and Area under the ROC Curve (AUC).
In this regard, some evaluation metrics are commonly used to describe the results obtained on an information retrieval system, namely precision, recall and F1 [10], which are classical metrics commonly used in information retrieval tasks.
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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