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erroneous classification

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "erroneous classification" is correct and usable in written English.
It can be used when referring to a misclassification or incorrect categorization of something, often in contexts like data analysis, research, or legal matters. Example: "The study revealed an erroneous classification of the species, leading to significant implications for conservation efforts."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

31 human-written examples

A few months later, Kumagai Gumi asked Sumitomo and three other banks to restructure its debts, and Sumitomo is now due to write off ¥260 billion in an effort to save Kumagai from bankruptcy.The extent of such erroneous classification is further illustrated by the loan books of The Long-Term Credit Bank (LTCB) and Nippon Credit Bank (NCB), two nationalised banks.

News & Media

The Economist

However, this leaves 7.5%% of stops with an erroneous classification.

This paper shows how integration schemes can lead to erroneous classification of critical points when the timestep is finite and fixed.

A useful theorem, found in (Weston et al. 2000) but proven, in effect, in (Vapnik 1998) relates the likelihood of erroneous classification to the radius found by (3).

investigates the feasibility of using different feedback-affected sound databases, and a variety of learning strategies of neural networks to reduce the probability of erroneous classification.

Let E[P err ] denote the expected probability of erroneous classification of an SVM trained on a data set of m elements.

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Human-verified similar examples from authoritative sources

Similar Expressions

28 human-written examples

Citing the Dunn warning email, he claimed: "They blatantly threaten athletes, their parents and coaches with litigation and therefore because of this intimidation people are too frightened to speak out about erroneous classifications.

This iterative process removed erroneous classifications enabling the development of more accurate maps of the peatlands drains.

These results highlighted that independently from the employed index, a rigorous and appropriate sampling design taking into account different scales should always be used in order to avoid erroneous classifications and to develop effective monitoring programs.

However, such erroneous classifications will not invalidate the approach but merely introduce noise lowering the overall predictive performance of the methods.

Science

Plosone

This would result in erroneous classifications, if recombination was indeed a major factor in the evolution of CRISPR arrays.

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Expert writing Tips

Best practice

When discussing classification systems, clearly define the criteria used to minimize the risk of "erroneous classification". Specificity enhances clarity and reduces ambiguity.

Common error

Avoid applying classification rules rigidly; always consider edge cases and exceptions that might lead to an "erroneous classification". Rigidity can lead to misinterpretations and inaccurate results.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

79%

Authority and reliability

4.4/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "erroneous classification" functions as a noun phrase, typically used as the subject or object of a sentence. It identifies an instance where something has been incorrectly categorized. As per Ludwig AI, this phrase is grammatically correct and usable in written English.

Expression frequency: Uncommon

Frequent in

Science

70%

News & Media

15%

Formal & Business

15%

Less common in

Wiki

5%

Encyclopedias

0%

Social Media

0%

Ludwig's WRAP-UP

In summary, "erroneous classification" is a grammatically sound noun phrase used to denote an incorrect categorization or mislabeling. As confirmed by Ludwig AI, the phrase is appropriate for formal writing and is most frequently encountered in scientific and academic contexts. While not exceedingly common, it serves a crucial function in precisely identifying and addressing errors in classification systems. When using this phrase, it's important to consider the specific context and aim for clarity to avoid ambiguity. Alternatives such as "misclassification" or "incorrect categorization" may offer more concise or contextually appropriate options.

FAQs

How can I use "erroneous classification" in a sentence?

You can use "erroneous classification" to describe situations where something has been incorrectly categorized. For example: "The study revealed an erroneous classification of the species, leading to significant implications for conservation efforts."

What are some alternatives to "erroneous classification"?

Alternatives include "incorrect categorization", "misclassification", or "inaccurate classification" depending on the specific context.

Which is correct: "erroneous classification" or "incorrect classification"?

Both "erroneous classification" and "incorrect classification" are correct, although "incorrect" is more commonly used. "Erroneous" implies a more significant error or deviation from the truth.

What is the difference between "erroneous classification" and "false classification"?

"Erroneous classification" generally refers to a classification that is simply mistaken or incorrect. "False classification" may imply a deliberate attempt to deceive or mislead, though it can also be used synonymously with "erroneous classification".

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Source & Trust

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Authority and reliability

4.4/5

Expert rating

Real-world application tested

Most frequent sentences: