correctness of the model

USAGE SUMMARY

The phrase "correctness of the model" is correct and usable in written English.
It can be used when discussing the accuracy or validity of a particular model, often in contexts like data analysis, machine learning, or scientific research. Example: "The correctness of the model was validated through extensive testing and comparison with real-world data."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

44 human-written examples

The accuracy (Acc) is the overall correctness of the model, and it is calculated as the sum of correct classifications divided by the total number of instances, while the kappa statistic is a chance-corrected measure of agreement between the classifications and the true classes.

EURASIP Journal on Image and Video Processing

Simulation results verifying the correctness of the model are provided.

IFAC Proceedings Volumes

Verification helps to ensure correctness of the model and further increases reliability of the implementation.

Computers in Industry

An engineering application was used to verify the correctness of the model.

Mining Science and Technology (China)

In the study of these centres, hyperfine and superhyperfine structure provide a mapping of the electronic magnetization and make it possible to test the correctness of the model chosen to describe the defect.

Britannica

Comparisons with well-established analytical models confirm the correctness of the model; results for free and constrained dendritic growth effectively demonstrate the capabilities of this new model.

Acta Materialia

Human-verified similar examples from authoritative sources

Similar Expressions

16 human-written examples

Finally, a prototype is designed, and the experiment results can verify the correctness of the simulation model well.

Fusion Engineering and Design

Analysis of variance (ANOVA) was used to find out the effective and non-effective factors and correctness of the models.

Journal of Computational Design and Engineering

As an application, field measurement is carried out to verify the feasibility and correctness of the models by comparison with the restoration method using a digital inverse filter.

Measurement

The correctness of the software is dependent on the correctness of the models, hence verification of the models against certain properties like termination, liveness and absence of deadlock are crucial in safety critical domains like healthcare.

Procedia Computer Science

The correctness of the modeling was demonstrated by the stability of consecutive crawling and underwater movements, providing a basis for driving and controlling methods for this amphibious robot, as well as guidance for the robot's gait trajectory.

Robotics and Computer-Integrated Manufacturing

Expert writing Tips

Best practice

When discussing the quality of a model, explicitly define what "correctness" means in your specific context. Is it about predictive accuracy, logical consistency, or adherence to real-world data?

Common error

Avoid presenting the "correctness of the model" as a binary state. Instead, acknowledge its limitations and specify the conditions under which it performs reliably. Models are often simplifications of reality, not perfect replicas.

Linguistic Context

The phrase "correctness of the model" functions as a noun phrase, typically serving as the subject or object of a sentence. It describes the degree to which a model is accurate, valid, and reliable in representing reality. Ludwig AI confirms its usability.

Expression frequency: Uncommon

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Encyclopedias

0%

Ludwig's WRAP-UP

In summary, the phrase "correctness of the model" serves as a formal and scientific way to evaluate the accuracy, validity, and reliability of a model. Ludwig AI confirms that the phrase is grammatically correct and suitable for use in professional writing. While relatively uncommon, its usage is concentrated in scientific and academic contexts, highlighting the need to precisely evaluate models against real-world data and theoretical expectations. The phrase's emphasis on the degree to which a model aligns with empirical evidence underscores its importance in fostering sound decision-making.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

accuracy of the model

Focuses specifically on how accurate the model is.

validity of the model

Emphasizes whether the model measures what it is supposed to measure.

reliability of the model

Highlights the consistency and dependability of the model's results.

fitness of the model

Addresses how well the model suits its intended purpose or data.

precision of the model

Focuses on the level of detail and exactness in the model's predictions.

soundness of the model

Highlights the logical consistency and robustness of the model.

appropriateness of the model

Refers to whether the model is suitable for the given situation or data.

effectiveness of the model

Deals with how well the model achieves its desired outcome.

veracity of the model

Emphasizes the truthfulness and accuracy of the model.

predictive power of the model

Focuses on the ability of the model to accurately forecast future outcomes.

FAQs

How can I assess the "correctness of the model"?

Assessing the "correctness of the model" involves comparing its predictions with real-world data, examining its residuals, and performing statistical tests. Consider also assessing the model's consistency and logical coherence.

What does it mean to verify the "correctness of the model"?

Verifying the "correctness of the model" typically involves comparing the model's output to established analytical solutions, experimental data, or simulation results. See also the concept of "validity of the model".

How does the "accuracy of the model" relate to its correctness?

While closely related, "accuracy" typically refers to the quantitative precision of a model's predictions, whereas "correctness" encompasses broader aspects such as its conceptual soundness and logical consistency. Models can be accurate without being completely correct, and vice versa.

What are some alternatives to saying "correctness of the model"?

Depending on the context, you could use alternatives such as "accuracy of the model", ""validity of the model"", or "reliability of the model". Each alternative highlights a slightly different aspect of model quality.