with low accuracy

USAGE SUMMARY

"with low accuracy" is correct and usable in written English.
You could use it to describe something that is not precise or reliable, such as "The predictions made by the weather forecast turned out to be correct, but with low accuracy."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

25 human-written examples

Traditionally, flatfish vaccination has been performed manually a laborious and time-consuming, procedure with low accuracy.

Aquacultural Engineering

Discriminant analysis based on these characters, assigned with low accuracy (< 60%) each specimen to its original geographical population.

Revista Mexicana de Biodiversidad

Typically, optical measurement systems can achieve high accuracy over a limited volume, or cover a large volume with low accuracy.

Optics and Lasers in Engineering

Saba and Rehman (2012) emphasize that forecasting using the single tool often comes out with low accuracy rate as compared to hybrid models.

Applied Water Science

Another feasible method is GSM-based localization [12], such as Nericell [21], which is widely available but with low accuracy (up to hundreds of meters).

EURASIP Journal on Wireless Communications and Networking

But it is still possible that high-quality SE results are unavailable considering the limited redundancy of real-time measurements and the pseudo-measurements with low accuracy.

Journal of Modern Power Systems and Clean Energy

Human-verified similar examples from authoritative sources

Similar Expressions

35 human-written examples

That being said, bulls with low accuracies should be used on a limited basis, while bulls with high accuracies can be used as deemed necessary.

WikiHow

Four test subjects with lowest accuracy of predictions also appeared to have low average attention to observers, as shown in Fig. 7. Figure 6f presents distributions and average accuracies of seven classifiers over 12 test subjects of dataset C. While the average accuracy of the best method is 0.753, the range of scores over test persons is from 0.52 to 0.93.

EURASIP Journal on Image and Video Processing

Multivariate classification of the data using SVM at the whole-brain level revealed the best discrimination accuracy for all three groups using FDG-PET, with 81% (chance level 33%), in comparison to GM and WM information, with lowest accuracy using WM information on its own (Table 3).

Plosone

The currency of address records was therefore variable, with lowest accuracy among groups with highest mobility and least contact with the health system.

BMC Public Health

Interestingly, the program with lowest accuracy, Condel, combines predictions across multiple algorithms, which some observers have suggested will increase accuracy (14).

Human Molecular Genetics

Expert writing Tips

Best practice

When describing research findings, quantify the "low accuracy" with specific error rates or confidence intervals to provide a clearer understanding of the limitations.

Common error

Avoid making strong claims or generalizations based on data obtained "with low accuracy". Acknowledge the limitations and suggest further research or alternative interpretations.

Linguistic Context

Adverbial phrase. "With low accuracy" functions as an adverbial phrase modifying verbs or clauses. It describes the manner in which an action is performed or a result is obtained, indicating a lack of precision or reliability, as illustrated in Ludwig's examples.

Expression frequency: Common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "with low accuracy" is a common and grammatically correct expression, predominantly used within scientific and technical domains. As Ludwig AI confirms, it serves to indicate that a particular measurement, method, or prediction lacks precision or reliability. When using this phrase, it's beneficial to quantify the degree of inaccuracy and avoid overstating the implications of findings. Alternatives such as "with limited precision" or "with poor reliability" may offer more specific nuances depending on the context. Therefore, while it’s acceptable, one must ensure the usage aligns with a formal tone, typical of scientific discourse.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

with limited precision

Emphasizes the restricted level of detail or exactness.

with poor reliability

Highlights the lack of dependability in the results or outcomes.

with a high margin of error

Focuses on the potential for significant deviation from the true value.

with considerable uncertainty

Stresses the unpredictable nature and lack of confidence in the findings.

with approximate results

Indicates that the outcomes are not exact but close to the actual values.

with rough estimates

Suggests that the calculations are based on incomplete data and are not precise.

with imprecise measurements

Points out the inexact nature of the data gathering process.

with unreliable data

Focuses on the untrustworthy nature of the information used.

with questionable validity

Raises doubts about the soundness and legitimacy of the results.

with imperfect methods

Acknowledges flaws or limitations in the procedures used.

FAQs

How can I use "with low accuracy" in a sentence?

You can use "with low accuracy" to describe measurements, predictions, or methods that are not very precise or reliable. For example: "The model predicted the outcome, but "with low accuracy"."

What are some alternatives to "with low accuracy"?

Alternatives include "with limited precision", "with poor reliability", or "with a high margin of error", depending on the specific context.

Is it better to say "with low accuracy" or "of low accuracy"?

"With low accuracy" is generally preferred when describing how something is done or measured. "Of low accuracy" is grammatically correct but less common.

In what contexts is "with low accuracy" typically used?

As evidenced by Ludwig, "with low accuracy" is often used in scientific and technical contexts to describe the limitations of models, measurements, or predictions. It indicates a degree of imprecision or unreliability.