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Both achieved a considerably higher recall in the train set compared to test set, and as a result their calibration was not aggressive enough.
An analysis of this data is reported in the Section 2 of the Supplementary Material and shows considerably higher recall for Jump3 (compared with GENIE3 and CLR) and a higher precision for two of the three TFs.
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We demonstrate that the top epitope predictions obtained using our method have a considerably higher average recall (44% recall at 14% precision) than that expected at random (23% recall at 14% precision) on a non-redundant set of crystal structures.
Results from both analyses are summarized in Table 2. Sampling predictions were considerably higher in recall than FBA predictions for both conditions, with respective ranges of 0.83 1 compared to 0.48 0.96.
Recognition (closed items) gave a considerably higher score than recall.
The recall is considerably higher using our method, indicating its predictive power.
Recall for our method is considerably higher: 61 versus 49 (the NCBO annotator) and 41% (the GoPubMed's annotator); as well as F-measure: 74 versus 65 and 58%, respectively.
The accuracies are considerably higher for this dataset, and the precision now reaches that of the unassembled prediction at recall 0.5 with MC threshold 6.0.
Redwoods can grow considerably higher.
Prices elsewhere may be considerably higher.
Now, however, that resolution is considerably higher.
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