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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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statistically significant classification

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "statistically significant classification" is correct and usable in written English.
It can be used in contexts related to data analysis, research, or statistics, particularly when discussing the reliability of a classification method or result. Example: "The study revealed a statistically significant classification of the data, indicating that the model performed better than random chance."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

4 human-written examples

This did not give statistically significant classification.

Science

Plosone

Of the six EGFR-related parameters examined, only CEN7/cell, cutoff=4.0, provided statistically significant classification with respect to OS (P=0.02).

The pan-cancer panel of 89 selected loci achieved a classification accuracy of 97.57%, averaged over the 12 cancer types with statistically significant classification rates (Additional file 5: Table S2).

Epidermal growth factor receptor/CEN7 gain, cutoff=34% (P=0.02), and EGFR/CEN7, cutoff >1.0 (P=0.04), were the only EGFR-related parameters to provide statistically significant classification with respect to PFS.

Human-verified similar examples from authoritative sources

Similar Expressions

56 human-written examples

As shown in Table 1, three feature types: word location, neighboring words and word, gave (statistically significant) better classification results than the TF IDF baseline.

When testing the technique in a three-class classification problem of voice data, a statistically significant improvement in classification accuracy was obtained if compared to parallel committees.

This allows us to conduct tests for statistically significant differences in classification performance between the different character embedding methods.

Using object-based image analysis, there was a statistically significant difference in classification accuracy between maps produced using the DT algorithm compared to maps produced using either RF (p = 0.0116) or SVM algorithms (p = 0.0067).

Moreover, the number of males is significantly larger than the number of females which makes it easier to get statistically significant results in classification experiments for the male subjects.

There was no statistically significant difference in classification accuracy of MI of different limbs.

Of interest is the observation that there was no statistically significant difference in classification accuracy between different limbs.

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Expert writing Tips

Best practice

When using "statistically significant classification", ensure you specify the statistical test used and the associated p-value to provide context for the significance.

Common error

Avoid assuming that a "statistically significant classification" automatically implies high practical or clinical value. Statistical significance does not always equate to real-world importance.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

85%

Authority and reliability

4.1/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "statistically significant classification" functions as a descriptor, typically used to qualify a classification process or its result. It indicates that the classification is reliable and not due to random chance. As Ludwig AI explains, the phrase is correct and usable.

Expression frequency: Rare

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

In summary, "statistically significant classification" is a phrase primarily used in scientific contexts to describe a classification that is supported by statistical evidence and unlikely to have occurred by chance. As Ludwig AI confirms, the phrase is grammatically correct and usable. While it is not a very common phrase, its usage is consistent within scientific literature. When employing this phrase, it's crucial to specify the statistical test and p-value to ensure clarity and avoid overstating the practical importance of the classification.

FAQs

How can I use "statistically significant classification" in a sentence?

You might say, "The study demonstrated a "statistically significant classification" of patients based on their genetic markers, which could improve treatment strategies."

What does "statistically significant classification" mean?

It means that the classification achieved is unlikely to have occurred by random chance and is supported by statistical evidence.

Is there a difference between "statistically significant classification" and "statistically significant difference"?

Yes, "statistically significant classification" refers to the outcome of a classification process, while "statistically significant difference" refers to a difference observed between groups or variables.

What are some alternatives to "statistically significant classification"?

Alternatives include "significant statistical categorization" or "statistically validated classification", depending on the desired nuance.

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Source & Trust

85%

Authority and reliability

4.1/5

Expert rating

Real-world application tested

Most frequent sentences: