testing data

USAGE SUMMARY

"testing data" is correct and usable in written English.
You can use it when discussing the process of testing something using data, such as in a research paper about artificial intelligence. For example, "The results of the testing data showed that the AI performed better than expected."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

WADA targeted by hackers seeking athletes' drug testing data.

The Guardian - Sport

The evaluators examined testing data, visited the schools and reviewed application materials.

The New York Times

"You can talk about testing data endlessly," John M. Rintamaki, Ford's chief of staff, said in the statement.

The New York Times

Now the states look at the testing data and send applications to the schools that make the grade.

The New York Times

But New York's results contrast sharply with testing data from some other states that have raised standards.

The New York Times

Because the historical mission of QA was testing, data was mostly used to assess the impact of a bug.

The Guardian

Sassi posts all of Basso's training data, blood data and drug testing data on the Mapei Web site.

The New York Times - Sports

Testing data Well#A.

Journal of Petroleum Exploration and Production Technology

Parameters in SDF are calibrated using subjective testing data.

EURASIP Journal on Wireless Communications and Networking

Figure 1 Room geometric setting for testing data.

EURASIP Journal on Advances in Signal Processing

These speed testing data are shown in graph 1.

Intensive Care Medicine Experimental

Expert writing Tips

Best practice

When writing about software or machine learning, be specific about the type of "testing data" used, such as "training data", "validation data", or "holdout data" to provide clarity.

Common error

Ensure you're clear about whether you're referring to "testing data" used for initial validation or ongoing monitoring, as these serve different purposes and require distinct handling.

Linguistic Context

The phrase "testing data" functions as a noun phrase, typically serving as the object of a verb or preposition. According to Ludwig AI, it is correct and usable in written English. Examples from Ludwig show its use across various contexts, highlighting its role in describing information used for testing and validation.

Expression frequency: Very common

Frequent in

Science

71%

News & Media

27%

Formal & Business

2%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

In summary, "testing data" is a common and correct noun phrase used to describe information used to evaluate or validate something. As confirmed by Ludwig AI, it's prevalent in scientific and technical contexts, but also appears in news reporting. Related phrases include "validation data" and "experimental data". When using the phrase, ensure clarity about the specific data type and its purpose. By understanding its grammatical function, purpose, and register, you can effectively use "testing data" in your writing.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

validation data

Replaces "testing" with "validation", emphasizing the confirmation aspect.

test results

Directly refers to the outcomes derived from testing procedures.

experimental data

Specifies the data's origin as experimental, useful in scientific contexts.

evaluation data

Focuses on the data's purpose for evaluation, suitable for assessment scenarios.

assessment data

Similar to evaluation data, but more generally applicable to various assessments.

performance data

Emphasizes the data related to performance metrics and analysis.

trial results

Replaces "data" with "results", shifting the focus to outcomes of trials.

benchmark data

Highlights data used for establishing benchmarks or standards.

analytical data

Stresses the analytical nature of the data being used.

study data

A broad term indicating data collected from a study or research.

FAQs

How is "testing data" used in machine learning?

"Testing data" is used to evaluate the performance and generalization ability of a trained machine learning model on unseen data. It helps to ensure the model's reliability and accuracy in real-world scenarios.

What is the difference between "training data" and "testing data"?

"Training data" is used to train a machine learning model, while "testing data" is used to evaluate its performance after training. "Training data" helps the model learn patterns, and "testing data" assesses how well it has learned.

What are some alternatives to "testing data"?

Some alternatives include "validation data", "evaluation data", and "experimental data", depending on the specific context and purpose of the data.

How do I ensure the quality of my "testing data"?

To ensure quality, verify the accuracy and completeness of your "testing data", and confirm that it is representative of the real-world scenarios the model will encounter. Also, consider using data augmentation techniques to increase the diversity of the dataset.