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Characterizing the probability of misclassification of an individual object has been termed confidence estimation [15, 16].
The better the nonconformity score characterizes the probability of misclassification of an individual prediction, the more efficient will be the resulting conformal predictor.
Nearly as pernicious is wage theft's close cousin -- misclassification of an employee as an independent contractor.
If this query failed to yield any citations for an article, we conducted a search for the study title to limit misclassification of an article as having zero subsequent citations.
We considered misclassification of an SN case in the group without SN as a more severe mistake than vice versa.
The only two misclassified cases were misclassification of an Uninfected sample as Chronic and an Acute sample as Uninfected.
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Furthermore, the misclassification of a class can be associated with the diversity of the various vegetation covers in the study area and use of dry season images.
To quantify the impact of ignoring misclassification of a response variable and measurement error in a covariate on statistical power, and to develop software for sample size and power analysis that accounts for these flaws in epidemiologic data.
FP is the amount of attack detected when it is indeed normal (false alarm), and FN is the misclassification of a test sample as normal when it is actually an attack.
However, such tuning is important in clinical applications, because the misclassification of a high-risk patient is potentially more harmful than the misclassification of a low-risk patient.
It was estimated that the probability of misclassification of a twin pair was 1.7% [23].
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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