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Classification (http://rdp.cme.msu.edu/) was performed using a confidence threshold for Silva (SSU115) at 70% of the 16S rRNA database.
The taxonomy of each 16S rRNA gene sequence was analyzed by RDP Classifier (http://rdp.cme.msu.edu/) against the Silva (SSU123) 16S rRNA database using a confidence threshold of 70%.
Using a confidence threshold, we can increase the F1 score from 0.66 to 0.74 for Train, which would have achieved an increase for F1 from 0.48 to just 0.52 for Test.
The taxonomy of each ITS rDNA gene sequence was analyzed by RDP Classifier against the UNITE 7.0/ITS database (Abarenkov et al. 2010) using a confidence threshold of 70%.
The conditions were not met to use a Student's t-test and a non-parametric rank-based Wilcoxon test was performed instead, using a confidence threshold α of 0.05.
Protein identification was performed using a confidence threshold of 95% (Proteinpilot Unused score ≥1.31) with MMTS selected as cysteine modification, and with the search option 'emphasis on biological modifications' checked.
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We used a confidence threshold, with two additional rounds of insertions.
In order to consider only small molecules with a high likelihood that there exist correctly curated target genes, we used a confidence threshold of 0.9.
For the STC, we used a confidence threshold of 0.5 to binarize the predictions as either positive (≥0.5) or negative (<0.5).
Specifically, in the experiments described we used a confidence threshold of Q(s e c ) ≥ 0.9 to define both the exons that had a signal (s c = ±1) or did not have it (s c = 0).
Results [Table 1 and Additional file 3] also showed accurate genotyping (99.91% HapMap concordance), and with higher automated call-rates (94.91% – using a confidence score threshold of 0.75).
More suggestions(13)
using a confidence density
using a confidence measure
using a confidence scale
using a stringency threshold
using a confidence level
using a confidence score
using a correlation threshold
using a confidence parameter
using a confidence value
using a confidence cutoff
using a confidence measurement
using a confidence vote
using a confidence scoring
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