a model fails

USAGE SUMMARY

The phrase "a model fails" is correct and usable in written English.
It can be used in contexts discussing the performance or effectiveness of a model, such as in scientific, statistical, or machine learning discussions. Example: "In this experiment, we observed that a model fails to predict outcomes accurately when the input data is noisy."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

4 human-written examples

When a model fails, the improvement will be set as 0. The key factors are as follows.

Journal of Modern Power Systems and Clean Energy

Experimental results of cross-language information retrieval (CLIR) do not indicate why a model fails or how a model could be improved.

Information Processing & Management

However, such a model fails to explain why viral loads assayed from airway samples in infected human are similar regardless of disease severity, a finding consistently observed in the recent pandemic H1N1 influenza infection [3], [17], [18].

Plosone

When a model fails, researchers routinely examine the modification indices to see whether introduction of specific model coefficients would improve model fit.

BMC Medical Research Methodology

Human-verified similar examples from authoritative sources

Similar Expressions

56 human-written examples

To say that a model failed, Weatherall contends, is not to say that no models can work.

The New York Times - Books

Based on David Ebershoff's fictionalised account of Elbe's life, the story follows Danish painter Einar Wegener's journey from posing in women's clothes for his wife Gerda (Alicia Vikander) after a model failed to show up, to becoming a woman.

Independent

However, such a model failed to reproduce the domain arrangement observed in actual meristems for the model's parameter space which we explored using a stochastic parameter estimation technique, namely an evolutionary algorithm [25].

Plosone

When a model failed to converge, first order PQL estimation was used, which yields slightly less accurate confidence intervals.

BMC Family Practice

It is imperative that a model should be made more specific and tested a second time in case a hypothetical model fails to fit appropriately.

BMJ Open

If a single model fails to converge, the imputation process as a whole fails.

Large-scale Assessments in Education

There are two limitations of this approach: (i) low DOC regions are not properly addressed and (ii) a Poisson model fails to capture the increasing variance at high DOC, a characteristic that is evident from the mean-variance plot of our data (Fig. 5B) and that has been discussed in the context of RNA-seq and a negative binomial model (Robinson et al., 2010).

Bioinformatics

Expert writing Tips

Best practice

Clearly articulate the implications of "a model fails" within the specific domain you are addressing. What are the real-world consequences? How should the failure be addressed or mitigated?

Common error

Avoid stating that "a model fails" without specifying the circumstances. A model might perform well under certain conditions but falter under others. Always provide context to avoid misleading the reader.

Linguistic Context

The phrase "a model fails" functions as a statement indicating the inadequacy or lack of success of a particular model. As Ludwig AI confirms, it is grammatically correct and frequently used to describe a deficiency in design, data or application.

Expression frequency: Uncommon

Frequent in

Science

75%

News & Media

25%

Formal & Business

0%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "a model fails" is grammatically correct, though somewhat uncommon, and primarily used in scientific and news contexts to describe when a model does not perform as expected. Ludwig AI confirms its usability and properness. When using this phrase, it's best to specify the conditions under which the model fails to avoid overgeneralization. Alternatives include "a model is unsuccessful" and "a model is ineffective". While versatile, ensure the phrase is appropriate for the level of formality required by the context. Top sources employing this phrase include The New York Times, Huffington Post, and BBC.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

a model is unsuccessful

Replaces "fails" with a more neutral synonym, maintaining the core meaning.

a model is ineffective

Focuses on the lack of desired outcome, rather than complete failure.

a model breaks down

Implies a more dramatic or complete failure, suggesting the model's structure or logic has collapsed.

a model doesn't hold up

Suggests the model's validity is questionable, especially under scrutiny or when tested against new data.

a model proves inadequate

Highlights the insufficiency of the model to meet the required standards or expectations.

a model falls short

Indicates that the model doesn't reach a certain level of performance or accuracy.

a model is invalidated

Emphasizes that the model has been proven wrong or inaccurate.

a model is not validated

Suggests the model has not been verified yet and thus should not be trusted as of now.

a model yields incorrect results

Focuses on the specific outcome of the model, rather than its overall functionality.

a model ceases to be accurate

Indicates that the model used to be precise but has become unreliable over time.

FAQs

What does it mean when "a model fails"?

When "a model fails", it means that the model is unable to accurately predict outcomes, provide reliable insights, or meet the intended objectives within a specific context. The term implies a deficiency in the model's design, data, or application.

How can I determine if "a model fails"?

To determine if "a model fails", assess its performance against real-world data or expected outcomes. Key indicators include low accuracy, inconsistent predictions, and inability to generalize to new data sets. Rigorous testing and validation are essential to identify failure points.

What are some alternatives to saying "a model fails"?

You can use alternatives like "a model is unsuccessful", "a model is ineffective", or "a model breaks down" depending on the specific context and nuance you want to convey.

Why is it important to understand when "a model fails"?

Understanding when "a model fails" is crucial for making informed decisions, avoiding costly errors, and refining models to improve their accuracy and reliability. Recognizing failure points allows for adjustments and the development of more robust models. It is important to consider "a model is not validated".