However, they give low recall values (Bellon et al. [2007]).
There was a low recall of the headache onset day compared to other NDPH series.
Most of the annotation methods achieve low recall due to the large number of available fine labels, i.e., vocabulary words.
The CRF that identifies FORMULA chemical names tags a large number of false positives, leading to a very low recall.
Topic discovery, for instance, may very well be possible with low recall rates as long as precision is reasonably high.
Instead, most of the ASes found with a low recall have a high AS rank and belong to large carriers.
However, existing expert based identification algorithms often suffer in a low recall rate and could miss a large number of valuable samples under conservative filtering standards.
As the first predictions correspond to the highest scores, these steps correspond to high precision and low recall, that is the top-ranked items of the merged ranking.
However, it is important to say that for a real Web image search engine high precision is most important at low recall levels.
One easily notes that, in general, the UTB-REFs produced substantially higher precision values than the nUTB-REFs (F1 and F2), when considering low recall rates.
These approaches tend to perform well for references with duplicates and typos, but are likely to have low recall for cases involving intentional deceptions.
