lowest accuracy for

USAGE SUMMARY

The phrase "lowest accuracy for" is correct and usable in written English.
It can be used when discussing the minimum level of accuracy achieved in a particular context, such as data analysis or performance evaluation. Example: "The model demonstrated the lowest accuracy for predicting customer behavior in the test group."

✓ Grammatically correct

Science

Football News

World News

Human-verified examples from authoritative sources

Exact Expressions

7 human-written examples

We have a lowest accuracy for World News category which is 33.33%.

Journal of Big Data

The lowest accuracy for our observers was 87%, and the rest performed even better.

Attention, Perception & Psychophysics

This produced an accuracy of 79%, with the highest accuracy observed for Stage 7 (89%) and the lowest accuracy for Stage 10 (44%).

Bioinformatics

POA was the least accurate program when aligning truncated versions of the sequences, while CLUSTALW yielded the lowest accuracy for full-length sequences in almost all test cases.

Algorithms for Molecular Biology

The AF5_33Br family was the least related application family, but it did not consistently show the lowest accuracy for all traits.

Horticulture Research

Among the three protocols, NA yielded the lowest accuracy for all methods, that is, the task of predicting novel annotations for previously annotated proteins is harder than prediction of novel annotations for unannotated proteins.

GigaScience

Human-verified similar examples from authoritative sources

Similar Expressions

53 human-written examples

In fact, the LUT approach shows low accuracy for small ASs.

EURASIP Journal on Advances in Signal Processing

Fourth, it is possible to identify a combination of features, such as Y_related, which can achieve high accuracy for activity recognition and low accuracy for identity recognition simultaneously.

Human-centric Computing and Information Sciences

To start the search for vertebra orientation parameters an initial range of search with a low accuracy for the 6 degrees of freedom parameters was chosen.

EURASIP Journal on Advances in Signal Processing

All measurements from anchors at the right-hand side and the center of the building have low accuracy for targets at the left-hand side.

EURASIP Journal on Wireless Communications and Networking

Aiming at the problem that existing network performance measurements have low accuracy for (Request for Comments) RFC 2544, this paper proposes a high-speed network performance measurement based on field-programmable gate array (FPGA).

EURASIP Journal on Wireless Communications and Networking

Expert writing Tips

Best practice

When discussing the performance of a model or method, specify the conditions or categories for which the "lowest accuracy for" was observed to provide context and avoid overgeneralizations.

Common error

Avoid implying that the "lowest accuracy for" a specific case invalidates the entire model or method. Instead, focus on understanding and addressing the limitations in that particular context.

Linguistic Context

The phrase "lowest accuracy for" functions as a descriptor, specifically identifying the minimum level of correctness or precision achieved in relation to a particular subject, category, or condition. As Ludwig AI confirms, this phrase is grammatically sound and usable.

Expression frequency: Uncommon

Frequent in

Science

86%

Wiki

14%

News & Media

0%

Less common in

Formal & Business

0%

Encyclopedias

0%

Reference

0%

Ludwig's WRAP-UP

The phrase "lowest accuracy for" serves to pinpoint situations where performance is least precise, often in scientific or analytical contexts. Ludwig AI validates its grammatical correctness. While not exceedingly common, the phrase is valuable for clearly identifying limitations or areas needing improvement. Alternative phrasings, such as "poorest precision in" or "least reliable for", offer similar meanings with subtle shifts in emphasis. When employing this phrase, it's beneficial to specify the conditions under which the lowest accuracy occurs, preventing misinterpretations and fostering a more nuanced understanding.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

poorest precision in

Replaces "accuracy" with "precision", focusing on the level of detail and exactness.

least reliable for

Substitutes "accuracy" with "reliability", emphasizing trustworthiness and consistency.

worst performance in

Focuses on the outcome or result rather than the measurement itself.

minimal correctness in

Highlights the presence of only a small degree of being correct.

bottom accuracy for

Emphasizes "bottom" as the minimum value for the accuracy.

weakest validity in

Replaces "accuracy" with "validity" focusing on the degree to which something measures what it is supposed to measure.

substandard precision in

Highlights the subpar level of detail and exactness.

deficient correctness in

Replaces "lowest" with "deficient" emphasizing the inadequacy or insufficiency of correctness.

least precise for

Focuses on lack of precision.

inaccurate for

Focuses only the lack of accuracy.

FAQs

How can I use "lowest accuracy for" in a sentence?

You can use "lowest accuracy for" to specify situations where a test or model performs with the least precision, like: "The model demonstrated the "lowest accuracy for" predicting customer behavior in the test group".

What are some alternatives to "lowest accuracy for"?

Consider using phrases like "poorest precision in", "least reliable for", or "worst performance in" depending on the specific meaning you want to convey.

When is it appropriate to use "lowest accuracy for" in formal writing?

It's suitable when you need to clearly state the minimum level of accuracy achieved in a formal analysis or evaluation. However, ensure that the context is clear and the term aligns with the technical vocabulary of your field.

What does it mean when a model has the "lowest accuracy for" a particular category?

It indicates that the model performs less effectively in predicting outcomes or classifications for that specific category compared to others. Further investigation is needed to understand why and improve performance.