generalized enough

USAGE SUMMARY

The phrase "generalized enough" is correct and usable in written English.
You can use it when discussing whether a concept, idea, or statement is broad or inclusive enough to apply to various situations or cases. Example: "The theory is generalized enough to be applicable in multiple disciplines, making it a valuable framework for research."

✓ Grammatically correct

Science

News & Media

Wiki

Human-verified examples from authoritative sources

Exact Expressions

9 human-written examples

It has to be generalized enough that other people can look at the cover and say, "That's the kind of thing I would imagine as well".

The New Yorker

The relative tool-work vibration is not generalized enough to represent the actual displacement between tool and workpiece in previous prediction models.

Measurement

The feature selection process is generalized enough to be an ensemble where the winner takes all.

BioMed Research International

Cross-validation is a technique to assess how accurately a predictive model will perform on an independent data set and whether the model recognizes a pattern that is generalized enough to apply to unseen data [ 74, 75].

BMC Genomics

If you find yourself using the same functions repeatedly, consider writing your own MySQL library that is generalized enough that you can include it in any one of your scripts.

WikiHow

The boundaries in S become generalized enough so that they accept d and be more specific than boundaries in G.

Human-centric Computing and Information Sciences

Human-verified similar examples from authoritative sources

Similar Expressions

50 human-written examples

In the case of the apple-orange network, we want it to generalize enough so that it recognizes all images of apples and oranges, regardless of whether they were present in the training set.

TechCrunch

Every ML algorithm requires data to learn — enough data to generalize well enough to the scope of the population.

TechCrunch

Indeed, it has been argued that a tension exists between Generalized CEA that is general enough to be interpretable across settings, and CEA that takes into account local context [ 30], and that local decision-makers need to contextualize sectoral CEA results to their own cultural, economic, political, environmental, behavioural, and infrastructural context [ 31].

Cost Effectiveness and Resource Allocation

Generalizing works often enough to make do in a world where things disappear on their own, and we add and subtract things from our awareness on purpose.

The New York Times - Science

Techniques such as k-anonymity might also help to generalize the data enough to make it unfeasible to de-anonymize data (LeFevre et al. 2005).

SEP

Expert writing Tips

Best practice

When using "generalized enough", ensure the context clearly indicates what is being generalized and to what extent it needs to be generalized for a specific purpose. This enhances clarity and avoids ambiguity.

Common error

Avoid assuming that something is "generalized enough" without providing evidence or justification. Always consider the limitations of the generalization and potential exceptions.

Linguistic Context

The phrase "generalized enough" functions as an adjective phrase followed by an adverb, modifying a noun or concept to indicate the degree to which it has been generalized. It assesses whether something has been made sufficiently broad or applicable, a determination supported by Ludwig AI and its provided examples.

Expression frequency: Uncommon

Frequent in

Science

70%

News & Media

20%

Wiki

10%

Less common in

Formal & Business

0%

Encyclopedias

0%

Reference

0%

Ludwig's WRAP-UP

In summary, "generalized enough" is a grammatically correct and usable phrase that assesses whether something has been made sufficiently broad or applicable. Ludwig AI confirms its validity and provides examples across various contexts, especially in scientific and technical domains. While not extremely common, it serves a precise function in evaluating the scope of concepts and models. Alternatives include "sufficiently generalized" and "broadly applicable". When using this phrase, ensure clarity about what is being generalized and the criteria for sufficiency.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

generalisable enough

A less common, but grammatically correct, variant of the original phrase.

sufficiently generalized

Emphasizes the extent to which something has been generalized.

adequately generalized

Highlights whether the generalization meets a required standard.

generalized sufficiently

Inverts the order, placing emphasis on the action of generalizing.

broadly applicable

Focuses on the range of applicability rather than the degree of generalization.

sufficiently broad

Emphasizes the breadth of coverage or scope.

adequately comprehensive

Highlights the completeness and thoroughness of the generalization.

sufficiently inclusive

Focuses on whether all relevant aspects are included.

sufficiently versatile

Emphasizes the adaptability of the concept to various uses.

widely applicable

Similar to 'broadly applicable', but can suggest a more widespread use.

FAQs

How can I use "generalized enough" in a sentence?

You can use "generalized enough" to describe something that has been made sufficiently broad or applicable to a range of situations. For example, "The model is "generalized enough" to handle various types of data."

What is an alternative to "generalized enough"?

Alternatives to "generalized enough" include "sufficiently generalized", "broadly applicable", or "adequately comprehensive" depending on the context.

Is it better to be too specific or "generalized enough"?

The ideal level of generalization depends on the purpose. Being too specific limits applicability, while overgeneralization can lead to inaccuracies. Aim for a balance where the concept is "generalized enough" to be useful but not so broad as to be misleading.

When is a model considered "generalized enough"?

A model is considered "generalized enough" when it performs well on new, unseen data, indicating it has learned underlying patterns rather than memorizing training data. Cross-validation techniques can help assess this.