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The performance of these techniques was compared and the best one with smaller estimation error selected for future estimation of discharge from available data of previous discharge and stage values.
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The errors selected occurred frequently in the main study, and covered a broad range of error categories and severities.
ROC curves provide a rational and user-friendly basis to balance type I and type II errors, selecting optimal models and optimal cutoff values.
Arguments that transaction errors would increase are inconsistent with findings from a simulation study, where participants made more errors selecting branded tobacco products (40.4%) relative to products in standardised packaging (17.3%).
If the instructions have been completed and there are still errors, select the cell that has the error value that is furthest left and topmost first.
The channel combination with the lowest discrimination error was selected as the optimal selection for a specific subject.
The model with the best classification error is selected from the training set and the prediction error of that model is estimated using the testing set.
Next, the model average model errors for the chemicals represented by Pareto points and then the model with the smallest average error is selected.
The offset that minimized the distance error was selected.
The subset of pixels, which resulted in the low prediction error, was selected by genetic algorithm.
Finally, the proposed pruning learner with lower error is selected as final ensemble classifier.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com