Sentence examples for accurately categorized from inspiring English sources

The phrase "accurately categorized" is correct and usable in written English.
You can use it when discussing the proper classification or organization of items, data, or information.
Example: "The data was accurately categorized into distinct groups for better analysis."
Alternatives: "correctly classified" or "properly sorted".

Exact(21)

Shook said lean/TPS is more accurately categorized as a way of thinking, rather than just a technical system for operating an organization.

This study investigated whether the language used to describe the sensation of breathlessness accurately categorized older individuals with and without a prior diagnosis of COPD.

Participants accurately categorized both types of novel silhouettes as "novel" objects and were unaware of the real world objects suggested on the outside of the High-Competition silhouettes.

Affordable Housing Awareness: Microsoft's capital pledge to affordable housing projects should be more accurately categorized as an investment.

In order to actually close the feedback loop, the specific failure symptoms need to be carefully and accurately categorized and reported on (this is step two).

If the headache could not be accurately categorized as either primary or secondary, it was classified as headache not otherwise specified (headache NOS).

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Similar(39)

There are different types of validity, which include face validity (does the instrument measure what it appears to measure?), criterion validity (do scores correlate with other measures of the behavior being studied?), construct validity (does the instrument make accurate predictions about behavior?), and discriminative validity (does the instrument accurately categorize different groups?) [50].

And I think that accurately categorizes your position.

Segmentation is critical in account-based marketing, so it's important to accurately categorize leads entering your funnel.

Those that can accurately categorize, measure, and mitigate their patients' suffering most effectively will be rewarded with greater market share as well as the loyalty and retention of clinicians and other personnel.

Here we show that spatiotemporal CNNs accurately categorize video stimuli into action classes, and that deliberate model modifications that improve performance on an invariant action recognition task lead to data representations that better match human neural recordings.

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