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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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classification into two groups

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "classification into two groups" is correct and usable in written English.
It can be used when discussing the process of categorizing items, people, or concepts into two distinct categories. Example: "The classification into two groups allows for a clearer understanding of the data set."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

11 human-written examples

It is a continuous variable and consequently a classification into two groups was chosen.

Their classification into two groups was made on the basis of mood score charts and non-parametric statistical analysis which is described further in (Holmes et al. [2011]).

We adapted the WIND study classification of weaning process [2] to the use of the AWS and further summarized this classification into two groups as follows: short weaning (patients successfully extubated within 6 days of AWS) and prolonged weaning (patients still ventilated after 7 days of AWS or more).

(Figure 10). Figure 10 shows the bivariate biplot by s-coordinates of the 3303 measurements from epidermal long cells of P. miliaceum and 2774 measurements from those of S. italica, plotted along axis W and axis R, and their classification into two groups corresponding to the two species (P. miliaceum and S. italica).

Science

Plosone

Sequence analysis of the 68 TCAST-like elements identified within the vicinity of genes enabled their classification into two groups.

A study with 121 patients with untreated MPS VI was performed and a classification into two groups was suggested.

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Human-verified similar examples from authoritative sources

Similar Expressions

49 human-written examples

In terms of the consumption of electricity, a classification into three groups has been proposed (industrial, residential, and street light consumption).

Structural characterization by CD and NMR led to their classification into three groups, all of which appear trapped in the highly disordered or partially-folded states with a substantial exposure of hydrophobic side chains.

Although the diversity of the obtained repertoire was maintained mainly by the third complementarity determining region of the heavy chain (CDR-H3), their changes in the near UV circular dichroism resulting from NP-binding allowed for classification into three groups according to the same rules applied in the pathway classification of the maturated Abs.

The C-N ratio for the food source DC was also determined after classification into three groups of leaf colour (X). Figure 4 also shows a relationship (R2 = 0.99) between the C-N ratio of food eaten (leaf discs excluding the veins) and feeding rate.

DEGs were further characterized by GO classification into three groups: biological process, cellular component, and molecular function.

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Expert writing Tips

Best practice

When using "classification into two groups", ensure that the criteria for classification are clearly defined and mutually exclusive to avoid ambiguity.

Common error

Avoid forcing a "classification into two groups" when the data or subject matter is more nuanced and requires more categories for accurate representation. Consider whether a binary classification adequately captures the complexity of the information.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

82%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "classification into two groups" functions as a noun phrase that describes the action or result of categorizing items into two distinct sets. As Ludwig AI indicates, it is a common and usable phrase in written English.

Expression frequency: Uncommon

Frequent in

Science

85%

News & Media

5%

Formal & Business

5%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "classification into two groups" is a grammatically sound and usable phrase that describes the act of dividing items into two distinct categories. According to Ludwig AI, its primary function is to facilitate analysis or comparison. The phrase is most frequently encountered in scientific and formal contexts. While alternatives such as "categorization into two sets" or "division into two categories" exist, the choice depends on the specific nuance desired. When using this phrase, ensure that the classification criteria are clearly defined and mutually exclusive. Avoid oversimplifying complex data by forcing a binary classification when more categories are needed.

FAQs

How can I use "classification into two groups" in a sentence?

You can use "classification into two groups" to describe the process of dividing a set of items into two distinct categories based on specific criteria. For example, "The patients' data allowed for a "classification into two groups": those who responded to treatment and those who did not."

What are some alternatives to "classification into two groups"?

Alternatives include "categorization into two sets", "division into two categories", or simply "dichotomization", depending on the level of formality and the specific context.

Is "classification into two groups" the same as "categorization into two groups"?

While similar, "classification" often implies a more formal or systematic approach to grouping items, while "categorization" can be more general. In many contexts, the terms are interchangeable, but "classification" might be preferred in scientific or technical writing.

When is it appropriate to use a "classification into two groups"?

A "classification into two groups" is appropriate when you need to simplify complex data or highlight key differences between two distinct subsets of a population or dataset. However, it's important to ensure that the classification accurately represents the underlying information and doesn't oversimplify nuanced data.

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Most frequent sentences: