Sentence examples for avoid classification from inspiring English sources

The phrase "avoid classification" is correct and usable in written English.
It can be used when discussing the need to refrain from categorizing or labeling something, often in contexts like research, data analysis, or social discussions.
Example: "In order to maintain objectivity in our study, we must avoid classification of the subjects based on their backgrounds."
Alternatives: "steer clear of categorization" or "refrain from labeling".

Exact(9)

New Jerseyans generally avoid classification by exit.

Moreover, a hedge fund was careful to avoid classification as a financial market player that is specifically regulated by the federal legislation.

To achieve this, though, they need to jump through critical hoops they need to avoid classification as a security, and accountants need to classify them as "cash-equivalents" so owners can value them at par.

To avoid classification errors caused by the blowing skill of the performer, we recorded sound samples from players with a minimum of 3 years' experience.

To avoid classification bias, the patients received their medical diagnosis by a specialist in chronic TMD in order to be classified in the correct group.

Lastly, to avoid classification of non-coding ORFs those specified as 'dubious' (≈ 500) by the Saccharomyces Genome Database (SGD) were removed from each dataset.

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Similar(51)

We chose the paired design to avoid classifications dependent on traditional prognostic markers.

Harrower [ 15] puts forth a methodology that avoids classification altogether by placing the highest and lowest values at each end of a continuous colour ramp and placing the remaining data proportionally along that continuum for each map frame.

We employed a matched design that increased the power of the predictor by enriching for informative clinical endpoints compared to a cohort study; furthermore, we avoided classifications that were dependent on the traditional clinical variables.

Before training the classifier, we matched cases and controls by age, gender, and length of record, in order to avoid trivial classification.

Every test was initiated with a reference ANN architecture to avoid inappropriate classification during the evaluation of fitness value.

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