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The subset of pixels, which resulted in the low prediction error, was selected by genetic algorithm.
The optimum number of components that minimized the prediction error was selected by 10-fold cross-validation using the training samples.
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An optimal maximum rupture velocity of 1.8 km/s, minimizing residuals between observed and calculated waveforms, was selected by trial and error.
The rupture front velocity of 3.0 km/s was selected by trial and error, which determines the initiation time of the basis function at each subfault, that minimizes the residuals between the observed and predicted waveforms.
The pseudo-temperature was slowly decreasing during simulation, from 1000 to 1, and the scaling constant was selected by trial and error.
The best single interaction model was selected by maximized TA, lowest prediction error or higher cross-validation consistency (CVC).
Next, the model average model errors for the chemicals represented by Pareto points and then the model with the smallest average error is selected.
137,712 SNPs with less than 1 Mendelian error were selected.
"The portfolio was selected by ACA".
And it was selected by a pupil.
First, an assumed error in the model must be selected by clicking on it.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com