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We preformed an extensive analysis and benchmarking of both the obligate/non-obligate and SP/ME classifiers, which can be found in the Additional file 3. Overall we achieved an auROC of 0.881 and 0.851 for obligate/non-obligate and SP/ME classification, respectively.
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In order to analyze the assembly quality of many different assemblers and to understand the inconsistency of many traditional metrics, it was decided to collect a significant volume of comparative performance statistics using a large benchmark of both bacterial and human genome data.
In Fig. 6, the data on hours worked show larger fluctuations relative to the predictions of the benchmark model, both when hours reach their minima in 1985 and 1994 and when they reach their maximum in 2007.
Machined surfaces obtained by performing mechanical grinding at varying machining conditions are analyzed using gray level co-occurrence matrix (GLC M, wavelet decomposition, photometric stereo and fusion reconstruction based texture analysis to study and benchmark performance of both statistical and topographical surface texture evaluation methods.
Unfortunately, there is no benchmark set of both positive and negative examples of miRNA hairpins available.
We evaluated SISMA against other published tools on a comprehensive benchmark made of both synthetic and real biological datasets.
On a comprehensive benchmark (composed of both synthetic and real biological datasets) SISMA exhibited more than acceptable performances, even on a very limited power and memory machine.
Our two main goals in this paper are to present a novel algorithm based in part on the findings in [ 7] together with its implementation in software and to provide a benchmark comparisons of both exhaustive and heuristic software estimating the minimum number of RSPRs between a pair of trees, i.e. the RSPR problem.
While league tables have been ruled out, some form of benchmarking of fundraising performance seems inevitable.
Benchmarking of scientific contributions is largely absent.
Benchmarking of the algorithms proceeded as follows.
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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