Sentence examples for accuracy and comprehensibility from inspiring English sources

The phrase "accuracy and comprehensibility" is correct and usable in written English.
It can be used when discussing the quality of information, communication, or data, emphasizing both precision and clarity.
Example: "In academic writing, it is essential to maintain a balance between accuracy and comprehensibility to effectively convey complex ideas."
Alternatives: "precision and clarity" or "correctness and clarity".

Exact(6)

A predictor that can make both accurate and comprehensible predictions is most desirable, but unfortunately, finding a predictor that achieves both accuracy and comprehensibility is difficult and unlikely.

In addition, we provide an extensive overview of available process discovery techniques and we describe how discovered process models can be assessed regarding both accuracy and comprehensibility.

Prediction methods can be compared and evaluated based on accuracy and comprehensibility.

All information in the spreadsheets was checked by one author (AK) for accuracy and comprehensibility.

To minimize potential bias, the questionnaire was verified for accuracy and comprehensibility by local mental health professionals.

The questionnaire was carefully reviewed by our psychologists and linguistic professionals, and was then verified for accuracy and comprehensibility by local mental health staff.

Similar(54)

The goal of this study is to develop a prediction tool that can make predictions about PCA analgesic requirements with high accuracy and acceptable comprehensibility for anesthesiologists.

It removes irrelevant features, improves the predictive accuracy and increases the comprehensibility of the model constructed by the classifiers sensitive to features.

Feature selection, as a preprocessing step to machine learning, has been very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and improving result comprehensibility.

It has been proved effective in reducing dimensionality, improving mining efficiency, increasing mining accuracy, and enhancing result comprehensibility [ 6- 9].

Clarity again matters for comprehension and comprehensibility contributes to persuasiveness.

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