predictive capacity

USAGE SUMMARY

The phrase "predictive capacity" is correct and usable in written English.
It can be used when discussing the ability of a model, system, or individual to make accurate predictions based on data or trends. Example: "The predictive capacity of the new algorithm has significantly improved our forecasting accuracy."

✓ Grammatically correct

Science

News & Media

Encyclopedias

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

However, omission of these tests from our prediction model substantially decreased predictive capacity.

European Radiology

"I think the least important thing about science fiction for me is its predictive capacity".

The New Yorker

The advantage of this theory is its predictive capacity.

Encyclopedia Britannica

But even this concept does not provide predictive capacity but only a historical explanation.

The New York Times

Therefore, there is a good predictive capacity in these markets.

Financial Innovation

The predictive capacity of the models was also tested.

Polymer

The high predictive capacity of the models was also confirmed.

Journal of Food Engineering

Using multiple biomarkers has the potential to improve predictive capacity.

Kidney International

However Shen Dao's argument has no predictive capacity or law-like basis.

SEP

Both internal and external validations showed its robustness and predictive capacity.

Chemistry Central Journal

Model predictive capacity was greatest for valleys (R2 =0.88) (Table 3).

Ecological Processes

Expert writing Tips

Best practice

When discussing statistical models or algorithms, quantify "predictive capacity" using metrics like R-squared, AUC, or RMSE to provide concrete evidence of their performance.

Common error

Avoid claiming high "predictive capacity" without proper validation. Always test models on independent datasets to ensure generalizability and avoid overfitting, which can lead to inflated performance metrics.

Linguistic Context

The phrase "predictive capacity" functions as a noun phrase, where "predictive" is an adjective modifying the noun "capacity". It describes the extent or degree to which something is able to forecast future outcomes or behaviors. Ludwig AI confirms its common usage in various contexts.

Expression frequency: Very common

Frequent in

Science

88%

News & Media

6%

Encyclopedias

2%

Less common in

Formal & Business

1%

Wiki

1%

Reference

1%

Ludwig's WRAP-UP

In summary, "predictive capacity" is a grammatically correct and frequently used phrase, particularly in scientific and academic contexts. It refers to the ability of a model, system, or individual to accurately forecast future outcomes. Ludwig AI underscores its validity and offers alternative formulations such as "forecasting ability" or "predictive power". When employing this phrase, it's crucial to quantify the predictive capability using relevant metrics and validate models rigorously to avoid overstating their performance. Furthermore, its formal tone makes it ideal for technical and scientific communication. It's more often employed in science related contents, news, and encyclopedias.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

predictive capability

This is a direct synonym, differing only in the choice of noun.

forecasting ability

Focuses on the ability to forecast, emphasizing the act of prediction.

predictive power

Highlights the strength or effectiveness of the prediction.

prognostic ability

Similar to predictive capability but often used in medical or scientific contexts relating to outcomes.

forecast accuracy

Emphasizes the accuracy of the forecast rather than the ability to predict.

estimation skill

This refers to the skill in estimating future outcomes.

ability to foresee

Focuses on the act of foreseeing events before they happen.

capacity for prediction

Rephrases it to emphasize potential rather than current ability.

potential for forecasting

Highlights the latent or unrealized ability to forecast.

accuracy of prediction

Shifts the focus to the level of precision in predictions.

FAQs

What does "predictive capacity" mean?

"Predictive capacity" refers to the ability of a model, system, or individual to accurately forecast future outcomes or events based on available data and trends.

How is "predictive capacity" assessed in statistical models?

The "predictive capacity" of statistical models is typically assessed using metrics such as R-squared, area under the ROC curve (AUC), root mean squared error (RMSE), and other validation techniques.

What are some alternatives to "predictive capacity"?

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

How can I improve the "predictive capacity" of a model?

Improving "predictive capacity" can involve using more relevant features, trying different modeling techniques, increasing the size of the training dataset, and carefully tuning model parameters to avoid overfitting.