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The generalization error (Error) is an intuitive judgment about the misclassification rate, but might not present a valid picture if the two classes under consideration strongly differ in size.
The residual error is generally described using a proportional error (error is dependent on the concentration, which means a higher absolute error at higher concentrations (Eq. 2) or an additive error (constant for all observations (Eq. 3) or a combination of both.
Similar(58)
The latter observation, however, is consistent with the effects of sequencing error: errors are concentrated towards the ends of reads [5], [8], [28].
The means +/− standard error (error bars) were determined for all appropriate data.
For all appropriate data the average +/− the standard error (error bars) are presented.
It really was human error, as initial reports indicated, but now the nature of that error (errors, really) is a bit clearer.
If you have received this message in error, the error is likely yours, but should the error be mine, just try and prove it, mother-effer.
Pressed by MPs who repeatedly asked if the deal was a disastrous error, Marks said: "Disastrous error is harsh.
Every error is an error of substance, a betrayal of ignorance and inexperience, the academic equivalent of the double dribble.
This does not show that purists are only human and sometimes make errors; it shows that the alleged error is not an error.
The type II error is the rejection error.
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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