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Justyna Jupowicz-Kozak

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imbalanced distribution

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "imbalanced distribution" is correct and usable in written English.
It can be used in contexts discussing statistics, economics, or any situation where resources or data are not evenly spread or allocated. Example: "The study revealed an imbalanced distribution of wealth among different regions, highlighting the need for policy intervention."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

29 human-written examples

The Chattopadhyay [14] and Gao [37] methods do address the negative transfer problem but do not address the imbalanced distribution issue.

We analyze the intrinsic sparsity and imbalanced distribution of speaker frames, those redundant Gaussian components, are discarded in the i-vector extraction phase so as to compensate the phonetic variability.

Moreover, multiple kernel oversampling (MKOS) was developed to generate synthetic instances in the optimal kernel space induced by ℓ2,1 MKFS, so as to compensate for the class imbalanced distribution.

Currently, the exponential growth of biomedical data along with the complexities of managing high dimensionality, imbalanced distribution, sparse attributes instigates a difficult challenge of effectively applying functional networks as a new large-scale predictive modeling in healthcare and biomedicine.

We judged one study to be at an unclear risk for other potential sources of bias [40]; the other study [37] was judged to be at high risk of bias due to likely imbalance of patient characteristics, imbalanced distribution of co-treatment, and other methodological study flaws (Figs. 3 and 4).

Limitations of this study include imbalanced distribution of medical comorbidities and the number of patients excluded to reach the per-protocol group.

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Human-verified similar examples from authoritative sources

Similar Expressions

31 human-written examples

Both used random undersampling and random oversampling to overcome imbalanced distributions and have promising but inconclusive results.

In general, anomaly or novelty detection problems exhibit highly imbalanced distributions.

The following two approaches use the dynamic balancing technique proposed in [ 15], found to be successful for the classical self-training algorithm when the dataset exhibits imbalanced distributions.

In bioinformatics, problems such as promoter recognition, splice site detection, and protein classification are especially difficult because these problems naturally exhibit highly imbalanced distributions.

However, learning Naïve Bayes classifiers from bootstrap replicates will not always lead to sufficiently "diverse" models, especially for problems with highly imbalanced distributions.

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Expert writing Tips

Best practice

In scientific writing, specify the implications of the "imbalanced distribution" on the experimental results or conclusions.

Common error

Avoid attributing an "imbalanced distribution" to a single cause without considering multiple contributing factors. Acknowledge potential complexities and nuances.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

84%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "imbalanced distribution" functions as a noun phrase, typically acting as the subject or object of a sentence. It describes a state or condition where something is not evenly or proportionately spread. Ludwig AI confirms that it's usable in English.

Expression frequency: Very common

Frequent in

Science

76%

News & Media

13%

Formal & Business

11%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "imbalanced distribution" is a common and grammatically correct phrase used to describe situations where data, resources, or characteristics are not evenly spread. As confirmed by Ludwig AI, this phrase is suitable for various contexts, particularly in science, news, and formal communications. To enhance clarity, always specify the variable or characteristic that exhibits the imbalance. While alternative phrases like "uneven allocation" or "disproportionate spread" exist, "imbalanced distribution" provides a direct and widely understood means of conveying this concept. Avoid overgeneralizing the cause of the imbalance to maintain accuracy and credibility in your writing.

FAQs

How can I use "imbalanced distribution" in a sentence?

You can use "imbalanced distribution" to describe scenarios where resources, data, or characteristics are not evenly spread. For example: "The research highlighted an "imbalanced distribution" of wealth across the region."

What are some alternatives to "imbalanced distribution"?

Alternatives include "uneven distribution", "disproportionate allocation", or "skewed spread", depending on the specific context.

In data analysis, what does "imbalanced distribution" signify?

In data analysis, an "imbalanced distribution" typically refers to a situation where the classes or categories within a dataset are not represented equally, which can affect the performance of machine learning algorithms.

How does "imbalanced distribution" affect statistical models?

An "imbalanced distribution" can bias statistical models, leading to inaccurate predictions or conclusions, especially for the under-represented classes or categories. Specific techniques like oversampling or undersampling may be required.

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Real-world application tested

Most frequent sentences: