predictive capability

USAGE SUMMARY

The phrase "predictive capability" is correct and can be used in written English.
You can use it to refer to the ability of a system or method to make predictions about future events or behaviors. For example: "This new algorithm has excellent predictive capability, allowing us to anticipate the behavior of consumer markets with greater accuracy."

✓ Grammatically correct

Science

News & Media

Academia

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

"Intelligence will never give you 100percentt predictive capability on terrorist events," he said.

The New York Times

Develop a Markov based model of breast cancer progression that has predictive capability.

Nature

These patterns may provide some predictive capability for maximum water level attenuation for comparable locations.

Nature

Improvements in predictive capability from more data and better algorithms shift problems to the right.

Harvard Business Review

This predictive capability has been verified in laboratory experiments.

Journal of Contaminant Hydrology

This predictive capability should help minimize discontinuities and maximize charge-carrier mobility.

University of California, Berkeley

The model provides a diagram with predictive capability.

Laser Processing of Engineering Materials Principles, Procedure and Industrial Application

Accordingly, existing facies models have limited predictive capability.

Sedimentary Geology

The predictive capability of the developed tool was tested.

Landscape and Urban Planning

Comparisons of simulations with experimental results demonstrate their predictive capability.

Procedia CIRP

Comparison with test data confirms the model's predictive capability.

Composites Part A: Applied Science and Manufacturing

Expert writing Tips

Best practice

When describing the "predictive capability" of a model, always validate it with empirical data to strengthen your claims.

Common error

Avoid exaggerating the "predictive capability" of a system without sufficient evidence. Quantify the accuracy with metrics like R-squared values or AUC scores to provide a balanced assessment.

Linguistic Context

The phrase "predictive capability" functions as a noun phrase that describes the ability or capacity to predict future events or outcomes. It commonly appears as the subject or object of a sentence, indicating what a system, model, or method is capable of doing. According to Ludwig, the phrase is grammatically correct and can be used in written English.

Expression frequency: Very common

Frequent in

Science

45%

News & Media

25%

Academia

15%

Less common in

Formal & Business

10%

Encyclopedias

3%

Wiki

2%

Ludwig's WRAP-UP

The phrase "predictive capability" is a grammatically sound and frequently used term to describe the ability to forecast future outcomes, as confirmed by Ludwig. It finds common application in scientific, academic, and news contexts, indicating its broad relevance across diverse fields. When using this phrase, consider quantifying accuracy with empirical data and avoiding overstatements. Related phrases like "predictive capacity" or "forecasting ability" can offer stylistic variation. Understanding the nuanced usage of "predictive capability" ensures clear and effective communication when discussing predictive models and systems.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

predictive capacity

Similar meaning, using "capacity" instead of "capability", implying the extent of prediction possible.

prognostic capability

"Prognostic" is used often in medical contexts.

forecasting ability

Replaces the noun with "ability" and the adjective with its gerund form, emphasizing the action of forecasting.

predictive power

Using "power" to suggest the strength or effectiveness of the prediction.

estimation skill

Focuses on the skill involved in making estimations about future events.

anticipatory skill

"Anticipatory skill" highlight the ability to foresee future events.

inferential capacity

Highlights inferential reasoning in determining future outcomes.

projection ability

"Projection ability" puts emphasis on projecting future trends or results.

predictive potential

Highlights the possibility of making accurate predictions.

foreseeability

A more general term indicating the extent to which something can be foreseen.

FAQs

How can I improve the "predictive capability" of my model?

Consider feature engineering, trying different algorithms, or increasing the size and quality of your training data. Regularization techniques can also help prevent overfitting, which can improve "generalization performance".

What's the difference between "predictive capability" and "predictive accuracy"?

"Predictive capability" refers to the general ability to make predictions, while "predictive accuracy" quantifies how correct those predictions are. A model can have high capability but low accuracy if it is poorly calibrated.

Is "predictive capability" the same as "predictive power"?

The terms are often used interchangeably, but "predictive power" may imply a stronger or more influential ability to predict. Both refer to the effectiveness of a model or method in forecasting future outcomes.

What are some examples of systems with high "predictive capability"?

Examples include weather forecasting models, financial market prediction algorithms, and medical diagnostic tools that can predict disease progression based on patient data. These systems leverage statistical analysis, machine learning, and domain expertise to enhance their forecasting abilities.