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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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skill in prediction

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "skill in prediction" is correct and usable in written English.
It can be used when discussing someone's ability to foresee or anticipate future events or outcomes based on analysis or experience. Example: "Her skill in prediction allowed her to accurately forecast the market trends for the upcoming year."

✓ Grammatically correct

Science

Academia

News & Media

Human-verified similar examples from authoritative sources

Similar Expressions

60 human-written examples

These results confirm that there is substantial skill in predictions of multi-annual averages of near-surface temperature when using the most comprehensive set of near-term climate predictions available to date.

Science & Research

Nature

The WWB model shows significant skill in predicting the interannual variability of the characteristics of WWBs, while the prediction skill of the WWB seasonal cycle is limited by the record length of available data.

Skill in climate prediction offers considerable opportunities to managers via its potential to realise system improvements (i.e. increased food production and profit and/or reduced risks).

Once it was determined that it could show skill in hurricane prediction, a multi-year transition transformed the research model into an operational model which could be used by the National Weather Service in 1995.

Once it was determined that it could show skill in hurricane prediction, a multi-year transition transformed the research model into an operational model which could be used by the National Weather Service for both track and intensity forecasting in 1995.

We show that climate forecast systems have skill in predicting the Earth's temperature at regional scales over the past 50 years and illustrate the trustworthiness of their predictions.

Science & Research

Nature

For the assessment of the high flows, both datasets exhibit some skills in flood prediction, however, APHRODITE data perform better than the WFD data when forcing into the lumped Xinanjiang Model than into the distributed SWAT Model in terms of flood duration, Probability of Detection, False Alarm Rate, regressions of annual peaks and partial duration series.

The S2S time scale sits between these limits, and represents a gap in prediction skill which has, until recently, proven difficult to fill.

Though in its pioneering stage for video-based research, it is foreseen that significant advancement in prediction skill will be achieved through development of data-assimilation schemes which combine the best of existing process and empirical knowledge on coastal morphodynamics.

These examples show that overfitting occurs when BNs become more complex than allowed by supporting data and overfitting incurs computational costs as well as causing a reduction in prediction skill.

For the time scales ranging between a few seasons to one decade, it has been shown2,3,4,13,14,15,16,17 that there is skill in near-term predictions and that the initial state can improve climate forecasts a few years ahead.

Science & Research

Nature
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Expert writing Tips

Best practice

When discussing forecasting in a specific field, be sure to specify the context to make your statement clear and impactful. For instance, "skill in economic prediction" or "skill in weather prediction".

Common error

Avoid exaggerating the certainty of predictions. Acknowledge the inherent uncertainties involved by using qualifiers like "potential", "likely", or "possible" to temper claims of predictive ability.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

79%

Authority and reliability

4.1/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "skill in prediction" functions as a noun phrase that describes the degree of competence or expertise one possesses in making accurate forecasts. It's commonly used to assess or highlight someone's ability to anticipate future events or outcomes.

Expression frequency: Missing

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Ludwig's WRAP-UP

The phrase "skill in prediction" describes the degree of expertise in forecasting. Ludwig AI indicates that this is a grammatically correct and usable phrase in English. While no exact examples are available, it's commonly understood and applicable across various contexts, from science to business. Consider alternatives like "predictive capability" or "forecasting expertise" to diversify your language. Remember to specify the field of prediction to enhance clarity and temper claims with appropriate qualifiers to avoid overstating certainty.

FAQs

How can I improve my "skill in prediction"?

Improving your "skill in prediction" involves a combination of education, practice, and feedback. Start by studying relevant data, learning forecasting techniques, and analyzing past predictions to identify patterns and refine your approach.

What are some alternative ways to say "skill in prediction"?

You can use alternatives like "predictive capability", "forecasting expertise", or "talent for prediction" depending on the context.

How does "skill in prediction" differ from "luck in prediction"?

"Skill in prediction" implies a consistent ability to accurately forecast outcomes based on knowledge and analysis, while "luck in prediction" suggests that successful forecasts are due to chance rather than ability.

In what contexts is "skill in prediction" most valuable?

"Skill in prediction" is highly valuable in various fields, including finance, weather forecasting, sports analysis, and strategic planning. Accurate predictions can inform decision-making, mitigate risks, and improve outcomes.

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Source & Trust

79%

Authority and reliability

4.1/5

Expert rating

Real-world application tested

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