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Mathematical optimisation is used to find the minimum error across a range of test case failure predictions.
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The minimum error for each permutation across the top 2 to 10 ranked genes was used to calculate the p values for both of the above types of permutation to avoid bias.
This minimum error is shown to deliver the most accurate failure prediction across a whole range of components, although some test cases in the range predict conservative failure load.
"Employees can pick out things quickly, with minimum error".
The green dot indicates minimum error.
where ε is the minimum error threshold defined by engineer.
The interpolation process can break through the minimum error.
The one standard error rule was applied to select the best tree (the smallest tree within 1 standard error of the minimum error tree).
Details of minimum error predictors for all samples and subsets.
The minimum error rate was representative of 50 independent simulations.
When using imputed features, the minimum error almost doubles.
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CEO of Professional Science Editing for Scientists @ prosciediting.com