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There is no auditing, no independence; we simply take Facebook's word for it, when and how much the errors occur.
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The width or limits of the central unit (unit #2) depend on how much the error or difference is reasonable or accepted between predicted permeability and measured (actual) one.
To calculate percent increase in MSE and produce a VIP plot, the RF algorithm estimate the importance of each predictor by computing how much the error increases for a given tree when OOB data for each predictor are randomly permuted while all other predictors are left unchanged [38, 40].
As time goes on the correlation weakens because the steering error has less dependence on the amplitude of the target step; instead, the trial by trial steering response integrated over time determines how much the steering error differs from the mean.
In this sense, the mutual information indicates how much the prediction error of the state of v i changes if we know the state of v k.
It can be interpreted as how much the prediction error is decreased using the model-based prediction as compared to an average prediction estimated by Kaplan-Meier.
Prediction error represents how much the estimated value is deviated from the actual value.
Levi's (1967) proposal for epistemic utility is the weighted combination of the truth value \ tv(g)\) of \(g\) and the information content \(I(g)\) of \(g\): where \(0 \lt a \lt \bfrac{1}{2}\) is an "index of boldness," indicating how much the scientist is willing to risk error, or to "gamble with truth," in his attempt to be relieved from agnosticism.
Pollsters and journalists will usually provide a "margin of error" that approximates how much the numbers might change due to the random chance of who is selected to participate in the poll.
The error is measured by looking at how much the polls missed the final margin between the top two candidates.
There was no mention of the margin of sampling error, a number representing how much the real audience could vary from the Nielsen survey result if there were an actual count of everyone watching television at that time.
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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