a high error rate

USAGE SUMMARY

The phrase "a high error rate" is correct and usable in written English.
It can be used when discussing the frequency of errors in a process, system, or dataset, often in contexts like technology, research, or quality control. Example: "The software update resulted in a high error rate, causing significant delays in project completion."

✓ Grammatically correct

News & Media

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Screening for ovarian cancer, with blood tests and ultrasound exams, has a high error rate.

The New York Times - Health

That is, in part, why there is such a high error rate, according to Mr. Chubb.

The New York Times

She said it had long been known that there was a high error rate in death penalty cases.

The New York Times

The malpractice system also has a high error rate, with one of four payments made in cases where the doctor did nothing wrong.

The New York Times

She characterized that as "a high error rate" and remarked to a lawyer representing the city, "You reasonably suspect something and you're wrong 90 percent of the time".

The New York Times

The chairwoman of the commission, Mary Frances Berry, cited a high error rate and discrimination in the list and asked the department to examine whether the state had any knowledge of it.

The New York Times

Other academics also noted that there is a high error rate in self-responding among non-citizens, and that the report's conclusions relied on large assumptions about the national population.

The Guardian

They include a high error rate among Democratic minority voters in some counties, and the practice of allowing Republican workers in Seminole County to correct applications for absentee ballots by Republicans.

The New York Times

This causes a high error rate in the permutation correction at lower frequencies, when the generalized Rényi divergence is used.

EURASIP Journal on Audio, Speech, and Music Processing

For very difficult classification problems with a high error rate reliable confidence estimation would be most desirable.

Journal of Cheminformatics

In order to decrease a risk of a high error rate we applied the theory of Tikhonov regularization.

International Journal of Applied Earth Observation and Geoinformation

Expert writing Tips

Best practice

When discussing error rates, always specify the context or system being evaluated to provide clarity.

Common error

Avoid assuming that a high error rate automatically indicates a flawed system; consider contributing factors like complexity, data quality, or operator skill.

Linguistic Context

The phrase "a high error rate" functions as a noun phrase. It acts as a subject, object, or complement in a sentence to describe the frequency of errors within a specific process, system, or dataset. Ludwig AI confirms its correct usage across various contexts.

Expression frequency: Very common

Frequent in

Science

37%

News & Media

30%

Formal & Business

0%

Less common in

Wiki

0%

Encyclopedias

0%

Social Media

0%

Ludwig's WRAP-UP

In summary, "a high error rate" is a grammatically sound and prevalent phrase employed to denote a significant frequency of errors across diverse domains. Ludwig confirms its accurate usage. Its function is primarily informative, conveying the presence of numerous inaccuracies and prompting evaluation or remediation. Although its register varies from neutral to formal based on context, it maintains a consistent objective: to communicate the extent of errors within a specific system or process. Remember to provide contextual details when discussing error rates to enhance clarity. Alternative phrases such as "significant error rate" or "substantial error rate" can be used to add nuance to your writing.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

significant error rate

Replaces "high" with "significant", emphasizing the importance or impact of the error rate.

substantial error rate

Substitutes "high" with "substantial", highlighting the considerable size or extent of the error rate.

elevated error rate

Uses "elevated" instead of "high", suggesting an increase or rise in the error rate.

considerable error rate

Replaces "high" with "considerable", indicating a noteworthy or significant amount of errors.

marked error rate

Employs "marked" instead of "high", pointing out a noticeable or distinct error rate.

large error rate

Uses "large" instead of "high", emphasizing the magnitude or size of the error occurrence.

excessive error rate

Replaces "high" with "excessive", suggesting that the error rate is beyond what is acceptable or normal.

pronounced error rate

Substitutes "high" with "pronounced", denoting a very noticeable or distinct error rate.

notable error rate

Uses "notable" instead of "high", indicating that the error rate is worthy of attention.

appreciable error rate

Replaces "high" with "appreciable", highlighting that the error rate is sufficient to be recognized or measured.

FAQs

How can I effectively use "a high error rate" in a sentence?

Use "a high error rate" to describe situations where mistakes or inaccuracies occur frequently. For instance, "The new algorithm exhibited "a high error rate" during initial testing."

What's the difference between "a high error rate" and "a low error rate"?

"A high error rate" signifies frequent mistakes or inaccuracies, while "a low error rate" indicates infrequent errors and higher accuracy. The choice depends on the specific context you're describing.

What are some alternative phrases for "a high error rate"?

You can use alternatives like "significant error rate", "substantial error rate", or "elevated error rate" depending on the nuance you want to convey.

In what contexts is it appropriate to use the phrase "a high error rate"?

It is appropriate to use "a high error rate" in various contexts, including technology, science, medicine, and manufacturing, whenever you need to describe a process or system that produces frequent mistakes or inaccuracies.