Sentence examples for benchmark specificity from inspiring English sources

Timeliness calculations were calculated at the benchmark specificity values of 0.85 and 0.97.

Since there is an inherent tradeoff between sensitivity and specificity, a benchmark specificity of 97% was chosen, producing approximately one false alarm per month.

In detecting the simulated outbreaks, the model was able to detect 100% of simulated 7-day, 30-visits-per-day outbreaks, while maintaining the benchmark specificity of 97%.

Sensitivity decreased with outbreak size, dropping to 94% for outbreaks of 20 visits per day, and 57% for 10 visits per day, all while maintaining a 97% benchmark specificity.

Table 3 shows the performance achieved by the models at different benchmark specificities with the narrower and broader case definitions.

At a benchmark mean specificity of approximately 97percentt, it detected a seven-day outbreak consisting of five additional patients each day with a shorter lag than the autoregressive, Serfling, trimmed seasonal, and wavelet models (table 2).

That is why benchmarking metrics use specificity and selectivity to focus on the ranks of the compounds according to the scoring functions instead of the score values.

Pre-diagnosis predictions showed improvement over the Mitchell et al. [24] benchmark on precision and specificity.

This allows the attachment of a significance value to returned motifs, which returns known motifs with a very high specificity from benchmark datasets of known eukaryotic motifs.

In this study we have used the high-quality annotations of these fungi to benchmark the sensitivity and specificity of CodingQuarry, and compare it to other gene predictors.

We used the available HuRef genome to produce short paired-end reads, similar to reads generated by the Illumina technology (simulating an Illumina sequencing of the Venter genome) to benchmark the sensitivity and specificity of our algorithms.