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Specific issues as precision, dataset training size and feasibility of the complete approach are discussed and the potential of global optimization methods (enhanced by metamodels) to achieve innovative shapes that would not be achieved with traditional methods is assessed.
Unfortunately, there are only five species in common between the precision dataset from Kembel and Cahill (2005) and the assembled dataset of uptake parameters presented here.
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We study the problem of predictability of human mobility using a novel, longitudinal, high-precision location dataset for more than 400 users. .
Specifically we investigate which factors influence the accuracy of next-place prediction, using a high-precision location dataset of more than 400 users observed for periods between 3 months and one year.
Third, precision is dataset-specific, and therefore power to detect subtle biological differences may differ between tissues even when measured on the same microarray platform.
As shown in Fig. 5 b, the performance improved by 3 6%%, compared to the results in Fig. 5 a. Fig. 5 Evaluation of face registration: the red line is the recognition precision on CK+ dataset; the green line is the recognition precision on MMI dataset; the blue line is the recognition precision on AFEW dataset.
Fig. 10 Precision with GPS dataset.
Moreover, the overall precision in our dataset is defined as the average of the precisions achieved for each query, as follows: P(k) = frac{1}{| Z_{k} |} {displaystyle sum_{q in Z_{k}} P_{q} k)}.
The average localization precision for all dataset is approximately 19 nm (±6 nm, SD).
The sensitivity and the precision on this dataset were 0.90 and 0.35, respectively, with the default prediction score cutoff.
It has been shown earlier that in the absence of 'real' TN dataset precision and recall might prove to be a better measure for the tool evaluation [ 58– 61].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com