model evaluation in

USAGE SUMMARY

The phrase "model evaluation in" is correct and usable in written English.
You can use it when discussing the assessment or analysis of models, particularly in fields like data science, machine learning, or statistics. Example: "The model evaluation in this study revealed significant insights into the algorithm's performance."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

7 human-written examples

We included details on modelling and model evaluation in File S1.

Plosone

Model parameter sensitivity is largely dependent upon the objective function used for the model evaluation in the sensitivity analysis.

Ecological Processes

This also provides details of the model evaluation, in which different quality metrics are made available to ensure the reliability of clustering result.

Human-centric Computing and Information Sciences

The results of RSA show that model parameter sensitivity is largely dependent upon the objective function used for the model evaluation in the sensitivity analysis.

Ecological Processes

The study demonstrates: the focus provided by setting model evaluation in a philosophical context; the benefits of using a more meaningful range of performance criteria than MSE-based approaches and the insights into integrity provided by Bayesian analyses.

Journal of Hydrology

To conduct motif analysis for the model evaluation in Fig.  4, we first searched the JASPAR database for binding motifs corresponding to the set of TFs we have in our investigation.

Epigenetics and Chromatin

Human-verified similar examples from authoritative sources

Similar Expressions

53 human-written examples

In dairy cattle, current genomic predictions are largely based on sire models that analyze daughter yield deviations of bulls, which are derived from pedigree-based animal model evaluations (in a two-step approach).

Genetics, Selection, Evolution

This is very important in model evaluation especially in the context of one project or chemical series.

Journal of Cheminformatics

Model evaluation, as in any other model exercise, takes place at each model modification to quantify and qualify the fit improvement.

CPT: Pharmacometrics and Systems Pharmacology

The included covariate relation that led to the largest drop in the objective function value (OFV), the criterion for model evaluation, was kept in the model.

British Journal of Cancer

The ROC curves were used in model evaluation with the pROC package in R. The statistical significance (P-value) of the difference between the areas under the curves was calculated using the Delong method in the same package.

Plosone

Expert writing Tips

Best practice

When discussing "model evaluation in" a specific context, clearly define the criteria and metrics used for the evaluation to ensure transparency and reproducibility.

Common error

Avoid using vague or generic evaluation criteria. Instead, specify the precise metrics and benchmarks relevant to the specific model and its intended application to provide a more meaningful and actionable assessment.

Linguistic Context

The phrase "model evaluation in" functions as a noun phrase acting as a subject or object, often followed by a specific context or application. According to Ludwig, this phrase is usable in written English and suitable for discussing the assessment of models.

Expression frequency: Uncommon

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

The phrase "model evaluation in" is a grammatically sound and scientifically relevant term, predominantly used in academic and scientific writing to describe the assessment of a model within a specific context. According to Ludwig AI, this phrase is appropriate and usable in written English. While the phrase is less common, its usage is precise and often associated with detailed analytical reports. When using this phrase, clarity is essential; specifically, ensure that the evaluation criteria and metrics are well-defined to maintain transparency and reproducibility. This promotes more meaningful and actionable results.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

assessing models within

Focuses on the act of assessment, replacing "evaluation" with a synonym and rephrasing to emphasize the context.

assessing model performance in

Specifies the aspect being evaluated, adding clarity by mentioning "performance".

appraising models through

Replaces "evaluation" with "appraising", which conveys a similar meaning of judging the value or quality.

model validation within

Substitutes "evaluation" with "validation", emphasizing the process of confirming the model's accuracy and reliability.

verifying models inside

Replaces "evaluation" with "verifying", suggesting a focus on confirming the correctness of the models.

examining model quality in

Focuses on the examination of "model quality", providing a specific aspect of evaluation.

analysis of models within

Highlights the analytical aspect of the evaluation process, shifting the focus to a detailed examination.

assessing the models through

Adds "the" for grammatical variation, making it more specific to particular models.

performance analysis of models in

Adds "performance analysis", focusing on a specific type of evaluation.

model assessment strategies in

Shifts focus to the "strategies" used for assessment rather than the act of evaluating.

FAQs

How can I use "model evaluation in" in a sentence?

You can use "model evaluation in" to describe the process of assessing a model's performance within a particular context. For example, "The "model evaluation in" this study focused on predictive accuracy".

What is a good alternative to "model evaluation in"?

Alternatives include "assessment of models within", "appraising models through", or "assessing model performance in", depending on the specific nuance you want to convey.

Why is "model evaluation in" important?

"Model evaluation in" is crucial because it helps determine the reliability and effectiveness of a model, ensuring that it meets the required standards for its intended purpose. Poor "model evaluation" can lead to inaccurate predictions and flawed decision-making.

What factors should be considered during "model evaluation in" a scientific study?

Factors to consider include the choice of evaluation metrics, the size and representativeness of the dataset, and the potential for overfitting. Thorough "model evaluation" also involves comparing the model's performance against benchmark models.