cross-validate

USAGE SUMMARY

"cross-validate" is correct and usable in written English. You can use it in contexts related to data analysis, statistics, or machine learning to refer to the process of validating a model's performance by dividing the data into subsets. For example, "We need to cross-validate our model to ensure its accuracy." Alternative expressions include "validate across," "perform cross-validation," and "check against."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Cross-validate the results of the dataset with other subsets of the dataset.

Journal of Big Data

In sum: it offers an effective way to cross-validate expert-based analyses (and vice versa).

European Journal of Futures Research

Furthermore, some of these studies do not appropriately cross-validate their results.

Journal of Cheminformatics

Our aim was to cross-validate electrocardiographic (ECG) and scintigraphic imaging of acute myocardial ischemia.

Journal of Electrocardiology

A multi-group analysis with gender and age was performed to cross-validate it.

Information & Management

The purpose of this study was to cross-validate these shorter versions in two new populations.

Drug and Alcohol Dependence

It is feasible to cross-validate and explicate dissimilar diabetes simulation models using standardized patients.

Diabetes Research and Clinical Practice

A multi-group analysis with gender was further used to cross-validate it.

Information & Management

Two focus groups with 6 participants each were conducted to cross-validate the interview findings.

Journal of the American Dietetic Association

Confirmatory Factor Analysis is recommended in order to cross-validate and refine this new Rating Scale.

International Journal of Nursing Studies

Having these fields mapped allows CVSP to cross-validate them with the structure in the molfile (Fig. 3).

Journal of Cheminformatics

Expert writing Tips

Best practice

When using "cross-validate", clearly specify the data or methods being used for validation to provide context and ensure clarity in your writing.

Common error

Avoid using "cross-validate" without specifying the validation method. Always indicate what data or methods are being used to validate your findings. For instance, instead of saying "We cross-validated the results", specify "We cross-validated the results using a separate dataset".

Linguistic Context

The phrase "cross-validate" functions as a verb, primarily used to describe the process of confirming the validity of results or findings through comparison with other data or methods. As Ludwig AI explains, its usage is grammatically correct and widespread.

Expression frequency: Very common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

The term "cross-validate" is a verb phrase widely employed, particularly in scientific and academic fields, to denote the rigorous process of verifying results through comparative analysis with alternative datasets or methodologies. As noted by Ludwig AI, this term is grammatically sound and commonly used. It functions to underscore the reliability and robustness of findings, most notably within the scientific domain. When employing "cross-validate", it is crucial to specify the validation method for optimal clarity, as vague usage can diminish the impact and precision of the statement.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

validate independently

Focuses on validating using separate, unrelated data or methods.

verify against another dataset

Highlights the comparison with a different dataset to confirm findings.

corroborate with alternative data

Emphasizes the use of alternative data sources for confirmation.

confirm through triangulation

Refers to using triangulation methods to validate results.

authenticate using a different approach

Stresses the importance of using a different methodology for authentication.

substantiate with external evidence

Highlights the use of external evidence to support claims.

check against a control group

Focuses on comparing results with a control group to ensure validity.

assess for consistency

Emphasizes the assessment of consistency across different measures.

test for reliability

Focuses on testing the reliability of the results using alternative methods.

double-check the findings

Emphasizes the act of re-examining the findings to ensure accuracy.

FAQs

How can I use "cross-validate" in a sentence?

You can use "cross-validate" to describe the process of verifying results by comparing them with other data sets or methods. For example: "We will "cross-validate" our findings using an independent dataset."

What's the difference between "cross-validate" and "validate"?

"Validate" generally means to confirm or substantiate something. "Cross-validate" specifically refers to validating something using multiple sources or methods for comparison. In other words, "cross-validate" is a specific type of "validate".

What are some alternatives to "cross-validate"?

Alternatives include "validate independently", "verify against another dataset", or "corroborate with alternative data", depending on the specific context.

In what fields is "cross-validate" commonly used?

"Cross-validate" is frequently used in fields like statistics, machine learning, and scientific research to describe the process of confirming the accuracy and reliability of models or results.