loss of accuracy

USAGE SUMMARY

The phrase "loss of accuracy" is correct and usable in written English.
It can be used in contexts where there is a decrease in precision or correctness, often in scientific, technical, or analytical discussions. Example: "The loss of accuracy in the measurements can lead to significant errors in the final results."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Thus, there is no substantial loss of accuracy.

Journal of Mathematics in Industry

This methodology reduces computational costs without loss of accuracy.

Information Sciences

This loss of accuracy is derived by Taylor series expansion.

Journal of Computational Physics

Once again, the company says any loss of accuracy is negligible in terms of providing fit information.

TechCrunch

However, applying non-invertible transforms mostly implies a loss of accuracy.

EURASIP Journal on Information Security

The price for this efficiency is, however, a loss of accuracy.

Journal of Cheminformatics

However, the computation of the link cost leads to a loss of accuracy of the metric.

EURASIP Journal on Wireless Communications and Networking

By use of this technique, it achieves the equivalent result without any loss of accuracy.

EURASIP Journal on Audio, Speech, and Music Processing

Fortunately, we can separate these variables without any loss of accuracy.

EURASIP Journal on Wireless Communications and Networking

It will lead to significant decrease of computational time without loss of accuracy.

Journal of Mathematics in Industry

If that sounds like a bit of a fudge, Fits.me claims that this results in as little as 2.5% loss of accuracy, which it says is negligible.

TechCrunch

Expert writing Tips

Best practice

In technical writing, always clarify the cause of the "loss of accuracy". Providing the cause of the accuracy decrease will help readers understand how the method is limited.

Common error

Avoid exaggerating the significance of the "loss of accuracy" without providing context. Clearly define acceptable error thresholds and compare the observed loss against these benchmarks.

Linguistic Context

The phrase "loss of accuracy" functions primarily as a noun phrase, often serving as the subject or object of a sentence. Ludwig AI's analysis indicates it describes a decline in the quality or correctness of data, measurements, or results. For example, "This loss of accuracy is derived by Taylor series expansion."

Expression frequency: Very common

Frequent in

Science

77%

News & Media

13%

Formal & Business

10%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

The phrase "loss of accuracy" is a common and grammatically correct noun phrase used to describe a decline in the correctness or precision of data, measurements, or processes. Ludwig AI's analysis, based on numerous examples from reliable sources, shows it's most frequently used in scientific and technical contexts. It is important to quantify this "loss of accuracy" with concrete metrics and avoid overstating its impact without proper context. Alternatives include "reduction in precision" or "accuracy degradation", depending on the specific nuance you want to convey.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

accuracy reduction

It refers specifically to the act or process of decreasing accuracy.

compromised accuracy

Highlights accuracy being negatively affected.

accuracy degradation

Highlights accuracy getting worse.

reduction in precision

Focuses on the decrease in exactness or detail.

decline in correctness

Highlights the decrease in being factually right or accurate.

diminished exactness

Focuses on a decrease in precise detail.

impairment of fidelity

Emphasizes the compromised faithfulness or truthfulness.

erosion of reliability

Points to the gradual decrease in dependability or trustworthiness.

lessened trueness

Emphasizes the reduction in being genuine or accurate.

weakening of validity

Stresses the compromised soundness or legitimacy.

FAQs

How can I quantify "loss of accuracy" in my research?

Quantify "loss of accuracy" by measuring the difference between expected and actual values. Express this difference using metrics like mean absolute error, root mean squared error, or percentage error. These metrics provide a clear understanding of the "reduction in precision".

What are common causes of "loss of accuracy" in data analysis?

Common causes include measurement errors, data processing flaws, algorithmic approximations, and limitations in the data collection process. Understanding these sources helps mitigate the "decline in correctness".

How does "loss of accuracy" affect the reliability of results?

A significant "loss of accuracy" can compromise the validity and reliability of results, leading to incorrect conclusions and flawed decisions. It's crucial to assess the "erosion of reliability" and account for it in your interpretation.

What alternatives can I use to describe "loss of accuracy" in a technical report?

Alternatives include "reduction in precision", "accuracy degradation", or "compromised accuracy". The best choice depends on the specific context and the aspect of accuracy you want to emphasize.