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We also see this in the quantitative analysis: while EGMM has relatively high recall values, indicating successful detection of the targets, its low precision shows that extracting these targets from the cloud of false positives will be difficult.
It therefore guarantees relatively high recall values.
On the other extreme of the plot, we see that the graph of some programs drops to 0 from a relatively high recall score.
We found that overall, Gram-positive bacterial predictors can predict archaeal cytoplasmic and membrane proteins with relatively high recall and precision, but with extracellular proteins the precision is quite low.
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When applied to human data, our approach was able to identify known miRNAs with a relatively high precision and recall.
Our analysis revealed that the chosen thresholds compared few other tested thresholds, are appropriate to identify relatively high precision and recall values for miRNA predictions and hence they were considered for reporting the predictions.
Besides, the percentage of queries retrieved by the SimAttack remains relatively high (i.e., a recall at 27.6 % for 7 fake queries) considering that queries are protected by two independent private Web search solutions.
A recent systematic review demonstrated that population-based CF carrier testing was associated with a relatively high uptake, positive attitudes, correct recall and understanding of carrier status, and no long-term psychological harm [ 4].
Considering retrieval from MEDLINE to Tier 2 (that is, identifying the relatively small set of documents that are actually included in the final systematic review) shows similar trends: TRC queries outperform other variants, and show a relatively high proportion of identified documents (recall of 40.9% for the top 1,000 documents, and 78.4% for top 10,000 documents).
For example, the precision is as high as 84.7% when the recall maintains a relatively high value of 45%.
Even though all classifiers yield relatively high precisions (greater than 0.5) in OREGON, their recall performance in OREGON is less than 0.2, which is similar to that of random guessing.
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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