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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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a balanced measure of

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "a balanced measure of" is correct and usable in written English.
It can be used when discussing the importance of having an equal or fair assessment of different factors or elements in a situation. Example: "In evaluating the project's success, we need a balanced measure of both quantitative results and qualitative feedback."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

5 human-written examples

Taking the geometric mean provides a balanced measure of this bilateral access to the rest of the world.

Recall measures the number of correctly identified positive instances, precision describes the correctness of positive predictions and the MCC is a balanced measure of binary classification effectiveness, ranging from −1 to 1, with 1 referring to perfect prediction.

Recall measures the fraction of correctly labelled positive examples, precision describes the correctness of positive instances prediction, whereas MCC is a balanced measure of binary classification effectiveness, ranging from −1 to 1, where 1 corresponds to error-free class labelling and −1 to reverse classification [7, 35].

The CarerQoL describes the caregiver's situation in terms of both positive and negative aspects of informal care, thereby providing a balanced measure of subjective burden.

MCC is a balanced measure of the quality of binary classifications, and it is equal to unity when the classification is perfect; it is computed by the following equation: (11) M C C = T P × T N − F P × F N T P + F P T P + F N T N + F P T N + F N Where FP and FN are the false positives and negatives respectively, and TP and TN are the true positives and true negatives respectively.

Human-verified similar examples from authoritative sources

Similar Expressions

55 human-written examples

The Matthews Correlation Coefficient (MCC) is a relatively balanced measure of classification performance.

The T and RS methods, based on matrices' elements and product vectors, would provide a more balanced measure of similarity in this situation because the differences between these elements and these vectors would not depend on the existence of reversals in eigenvector order per se, but on the magnitude of the differences involved.

MCC is a measure of the quality of classifiers on the whole and is deemed to be a balanced measure even if the classes are of very different sizes.

As an extensively adopted measure in machine learning for evaluating the quality of binary classifications, the MCC ranges from −1 (inverse prediction) to 0 (random prediction) to +1 (perfect prediction) and is generally considered to be a balanced measure even if the size of classes varies remarkably.

Science

Plosone

We used MCC to evaluate the performances because MCC takes into account true and false positives and negatives and is a balanced measure especially when the numbers of positives (catalytic residues) and negatives (noncatalytic residues) are extremely unbalanced.

Matthews correlation coefficient has been advocated as a balanced measure that can be used on classes of different sizes [14].

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Expert writing Tips

Best practice

When using "a balanced measure of", ensure that you are indeed considering all relevant factors and not just focusing on one aspect. This strengthens the credibility of your assessment.

Common error

Avoid presenting "a balanced measure of" something when you primarily discuss only one element. Ensure a genuine, even if brief, discussion of multiple facets.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

82%

Authority and reliability

4.1/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "a balanced measure of" functions as a noun phrase, often acting as an object or complement within a sentence. It indicates the importance of considering multiple facets when evaluating something. Ludwig examples highlight its use in scientific and trade publications.

Expression frequency: Uncommon

Frequent in

Science

60%

News & Media

20%

Formal & Business

20%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

In summary, "a balanced measure of" is a noun phrase used to stress the importance of considering all facets of an evaluation. Ludwig AI indicates that this phrase is grammatically correct and most commonly appears in scientific and news contexts. When using this phrase, ensure that your evaluation genuinely considers multiple perspectives to maintain credibility. Alternatives include "a fair assessment of" and "an objective evaluation of". Remember that while the phrase itself is correct, misrepresenting a biased analysis as "a balanced measure of" can undermine your argument.

FAQs

How can I use "a balanced measure of" in a sentence?

You can use "a balanced measure of" to emphasize the importance of considering all aspects of something when evaluating it. For example, "The study provides "a balanced measure of" both positive and negative effects of the policy".

What's a good alternative to "a balanced measure of"?

Alternatives to "a balanced measure of" include "a fair assessment of", "an objective evaluation of", or "a comprehensive gauge of". The best choice depends on the specific context.

Is it always necessary to use "a balanced measure of"?

No, it's not always necessary. Using "a balanced measure of" is most appropriate when you want to highlight that you are considering multiple perspectives or factors equally and avoiding bias.

What makes an evaluation "a balanced measure of" something?

An evaluation becomes "a balanced measure of" something when it accounts for all relevant factors, both positive and negative, and gives them proportional consideration without undue emphasis on any single aspect.

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Source & Trust

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Authority and reliability

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Real-world application tested

Most frequent sentences: