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First, the average hit ratio was rather low, around 32.3%% (although some variability existed between participants).
RankSVM slightly outperformed the average hit ratio method, but SVR did not.
This method orders documents by the average hit ratio across the semantic search systems for each document.
We initially evaluated the individual contribution of each semantic search system on the training data by measuring the average hit ratio of each system separately (Table 4).
In addition, either of these approaches could result in a substantial improvement in the document ranking functionality in PathText 2, compared with the average hit ratio heuristic.
For the machine-learning methods, we found that the SVM method achieved the best results, notably outperforming the average hit ratio heuristic and BM25.
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Similarly, the reduction of the number of clients showed to be a major factor in increasing the average hit ratios produced by CARTE and CCVC by 1.5 and 3.7 %, respectively, when compared to the results obtained to the same scenarios where abandonment did not happen.
For E. propertius contigs with less than the median assembly coverage of 3.3×, the average ortholog hit ratio was 0.35.
Using custom settings with the Celera Assembler produced assemblies with the smallest overall assembly size and highest average ortholog hit ratio, a measure of assembly quality (Table 1, see Annotation).
Further, the fact that amongst the assemblies tested we have not seen a point of diminishing returns in terms of average ortholog hit ratio (Table 1) suggests that even more aggressive assemblers may produce more accurate assemblies for such diverse datasets.
In our experiments, AC-CLOCK reduced the number of write operations in PCM by 57.87% on average and outperformed the hit ratio of write operations in the DRAM by 9.47% on average, compared with CLOCK, CLOCK-Pro, and CLOCK-DWF.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com