true errors

USAGE SUMMARY

The phrase "true errors" is correct and usable in written English.
It can be used to refer to genuine mistakes or inaccuracies that occur, often in a specific context such as data analysis or software development. Example: "After reviewing the results, we identified several true errors in the calculations that need to be addressed."

✓ Grammatically correct

Science

Computer-Aided Design

Pattern Recognition

Human-verified examples from authoritative sources

Exact Expressions

24 human-written examples

We compare the true errors of designed classifiers under the typical i.i.d.i.d

Pattern Recognition

Hence, it is difficult to position the tool individually and consider true errors at the same time.

Computer-Aided Design

These equations make it convenient to adjust the tool position individually until true errors are reduced in some degree.

Computer-Aided Design

The latter suggests that our uncertainty estimates, which are primarily based on an assumed AR(1) noise process in all time series, underestimates the true errors.

Advances in Space Research

Because of the underestimate of the errors reported by LSQR, we checked the final locations by SVD to assess a true errors estimate (Waldhauser and Ellsworth, 2000).

Earth, Planets and Space

Each method comes with a cost, a recall (fraction of all errors that are actually detected, i.e., false negatives), and a precision (fraction of true errors amongst all detected errors, i.e., false positives).

Journal of Parallel and Distributed Computing

Human-verified similar examples from authoritative sources

Similar Expressions

35 human-written examples

If it was a true error, she'll be able to correct it easily.

The New York Times

The 95% confidence interval for the true error rate is.

EURASIP Journal on Information Security

Sequence effect and true error were combined into a single degree of freedom error term.

Journal of Dairy Science

For all candidate models, we are generally missing a true error estimate.

Earth, Planets and Space

This value is not negligible, and hence MSE cannot be considered as a true error measure.

EURASIP Journal on Image and Video Processing

Expert writing Tips

Best practice

When discussing research or analysis, use "true errors" to clearly distinguish between genuine mistakes and expected variations or uncertainties.

Common error

Avoid using "true errors" interchangeably with "false positives." "True errors" refer to actual mistakes, while "false positives" refer to incorrect rejections of a null hypothesis.

Linguistic Context

The phrase "true errors" functions as a noun phrase, where "true" modifies "errors" to specify that the errors are genuine or actual. As Ludwig AI illustrates, the phrase is commonly used to distinguish between actual mistakes and other types of discrepancies, such as expected variations.

Expression frequency: Common

Frequent in

Science

87%

News & Media

7%

Formal & Business

6%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "true errors" is a grammatically correct and frequently used term, particularly in scientific and technical fields, to denote genuine mistakes as confirmed by Ludwig AI. It helps to distinguish actual mistakes from other discrepancies like uncertainties or variations. While predominantly used in formal contexts, it maintains a clear and precise tone. Alternatives such as "actual mistakes" or "genuine inaccuracies" can be used, but "true errors" is effective in emphasizing the reality and validity of the identified mistakes.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

actual mistakes

Emphasizes the reality of the errors, focusing on their occurrence.

real inaccuracies

Underscores that the inaccuracies are not merely perceived but are tangible.

genuine inaccuracies

Highlights the lack of precision and authenticity in the errors.

factual errors

Focuses on errors related to verifiable facts or data.

authentic errors

Suggests the errors are not fabricated or artificial.

confirmed errors

Indicates that the errors have been validated through a specific process.

legitimate errors

Suggests the errors are valid or justifiable in some context.

verifiable mistakes

Emphasizes that the errors can be confirmed or proven.

valid mistakes

Similar to legitimate errors, emphasizing that the errors are acceptable in some context.

substantive mistakes

Highlights errors that have a significant impact or effect.

FAQs

How can I use "true errors" in a sentence?

You can use "true errors" to describe actual mistakes or inaccuracies, such as "After reviewing the data, we identified several "true errors" in the calculations."

What is the difference between "true errors" and "false positives"?

"True errors" refer to actual mistakes or inaccuracies, whereas "false positives" are incorrect rejections of a null hypothesis in statistical testing. They are related but distinct concepts.

Are there alternative phrases for "true errors"?

Yes, you can use alternatives such as "actual mistakes", "genuine inaccuracies", or "factual errors" depending on the context.

In what contexts is it appropriate to use the phrase "true errors"?

It is appropriate in contexts involving data analysis, research, software development, or any field where accuracy and the identification of genuine mistakes are important.