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Free sign upThe phrase "inaccurate categorization" is correct and usable in written English.
It can be used when discussing the incorrect classification or grouping of items, concepts, or data. Example: "The study revealed an inaccurate categorization of the species, leading to confusion in the research findings."
Exact(2)
The classification of errors revealed that, despite proper perception of the situation, a considerable part of erroneous decisions is probably the result of inaccurate categorization.
Countless titles fall victim to inaccurate categorization.
Similar(57)
These same categories were provided in the original full database, but some of the categorizations were inaccurate (due to subjective factors) or incomplete (we classified all those originally marked as unknown).
Variation among reviewers suggested that categorizations reported to surveillance were inaccurate.
The skewed distributions imply that categorization into the underrepresented classes may be inaccurate, as there is not enough data to train on.
Self-report data, while less costly to collect, may be inaccurate due to poor recall, particularly when longer time periods are considered or more complex categorization of information is needed [ 6- 8].
Refuse categorization?
Consider categorization.
"Blind Ness" defies easy categorization.
Others resisted categorization.
Neruda eludes easy categorization.
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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