predictive power

USAGE SUMMARY

"predictive power" is correct and usable in written English.
You can use it when you’re referring to a measure of how accurately a model can make predictions. For example, "The model has excellent predictive power, making it highly effective for predicting outcomes."

✓ Grammatically correct

News & Media

Science

Encyclopedias

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

The predictive power was amazing.

The Guardian - Books

But the predictive power of the scans is limited.

The New Yorker

Only the unpleasant words, the study found, have predictive power.

The New York Times

But he soon became dissatisfied with the data's predictive power.

The New Yorker

(So much for the predictive power of earnings).

The New York Times - Magazine

The B.D.I. justified economists' belief in its predictive power almost immediately after its launch.

The New Yorker

The predictive power of that index is strongest several months into the future.

The New York Times

The predictive power of questioning can be examined for each justice, for instance.

The New York Times

They found that changes in oil prices had considerable predictive power in those markets, too.

The New York Times

It was competence alone that had the snap-judgment predictive power.

The New Yorker

These are factors that have some modest predictive power.

The New York Times

Expert writing Tips

Best practice

When discussing statistical models, clearly define the metrics used to assess the "predictive power", such as R-squared, AUC, or other relevant measures.

Common error

Avoid claiming a model has absolute "predictive power". Instead, acknowledge its limitations and the possibility of errors, even with high accuracy scores.

Linguistic Context

The phrase "predictive power" functions as a noun phrase, describing the capacity or ability to forecast future events or outcomes. Ludwig AI indicates its usability in written English.

Expression frequency: Very common

Frequent in

Science

50%

News & Media

40%

Encyclopedias

10%

Less common in

Formal & Business

0%

Reference

0%

Social Media

0%

Ludwig's WRAP-UP

In summary, "predictive power" is a frequently used noun phrase referring to the ability to accurately forecast future events or outcomes. Ludwig AI confirms its correctness and usability in written English. The phrase is commonly found in scientific and news contexts and, while versatile, is best suited for formal or technical discussions. Remember to clearly define metrics and avoid overstating claims when discussing a model's "predictive power". Alternatives like "forecasting ability" or "predictive ability" can be used for stylistic variation.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

predictive ability

Replaces "power" with "ability", emphasizing the capability to predict.

predictive capability

Substitutes "power" with "capability", another synonym for ability.

predictive capacity

Highlights the amount of prediction that is possible, replacing "power" with "capacity".

forecasting ability

Focuses on the ability to predict future events, shifting from "power" to "ability".

forecasting capability

Similar to "forecasting ability" but uses "capability", which is a formal synonym.

forecasting capacity

Emphasizes the limit or extent of forecasting possible, replacing "power" with "capacity".

prognostic ability

Uses "prognostic", which implies a forecast based on specialized knowledge.

prognostic capability

Similar to "prognostic ability" but employs "capability", adding a touch of formality.

forecast effectiveness

Focuses on how effective the forecast is, rather than the inherent ability to predict.

estimation accuracy

Emphasizes accuracy in estimates and predictions, rather than raw power.

FAQs

How is "predictive power" used in research?

In research, "predictive power" measures a model's ability to accurately forecast outcomes. It's assessed using metrics like R-squared or AUC, indicating how well the model's predictions align with actual results.

What's a simple way to explain "predictive power"?

"Predictive power" is how well something can guess what will happen in the future. A model with high "predictive power" is good at making accurate predictions.

What are some alternatives to "predictive power"?

You can use alternatives like "forecasting ability", "predictive ability", or "forecasting capacity" depending on the context.

How does source data influence "predictive power"?

The quality and relevance of source data significantly impact "predictive power". Clean, representative data enhances a model's ability to make accurate predictions, while biased or incomplete data reduces it.