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The 2.8-point miss is a fair bit better than how individual polls have done: it is useful to take an average of different surveys on the chance that their errors will cancel out.
The ISSM incoherently constructs the final result by taking an average of different frequency bins.
Note that data for the complete set is a weighted average of different driving conditions (e.g., high and low curvature regions), which are quite different.
In HMMSS, the structure of the estimated spectrum corresponds to the average of different speech spectra in the training database due to the use of the mean vector.
The expanded uncertainty associated to the measurement of the concentration ranged between 8.5% and 29.0% for 20 μg L−1 of each analyte and between 9.0% and 29.5% for the average of different concentration levels.
It is a measure that produces a value which corresponds to the average of j queries, where each query produces a ranking and a score that is the average of different n precision levels.
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Table 1, Table 2 and Table 3 show the average accuracy, average sensitivity and average specificity of different methods respectively.
Thus the averages of different genera of a taxon may differ completely in predicted solubility.
Thus the averages of different homologous families of a superfamily may differ significantly in predicted solubility.
For, averaging of different models slightly increases the prediction accuracy.
This method involves a simple compositing (averaging) of different signals to detect deviations from the background rate [16], [17].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com