Sentence examples for accuracy in forecasting from inspiring English sources

The phrase "accuracy in forecasting" is correct and usable in written English.
It can be used when discussing the precision or correctness of predictions made about future events or trends, often in contexts like business, finance, or weather.
Example: "The accuracy in forecasting sales figures is crucial for effective inventory management."
Alternatives: "precision in predictions" or "correctness in forecasting".

Exact(10)

Until 10 years ago he directed the Pennsylvania Poll of The Pittsburgh Post-Gazette, which was highly regarded for its accuracy in forecasting election outcomes.

Its creators claim 96percentt accuracy in predicting medal counts for the 2000 Olympics in Sydney, including perfect accuracy in forecasting that the United States would win 97 medals, 39 of them gold.

It is observed that the accuracy in forecasting is modest in the autumn season.

Disaggregate travel behavior analysis is applied in the model for various steps to improve the accuracy in forecasting.

Our experimental results in [2] showed that in the environments with the periodic and the growing workload patterns the SVM algorithm outperforms the ANN algorithm, but ANN has a better accuracy in forecasting the unpredictable workloads.

Many of the early CCS projects have published their findings with a view to supporting technology development for CO2 storage, giving improved quality and accuracy in forecasting CO2-storage site behaviour.

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Similar(50)

The BBC's change of provider came just before the Met Office adopts a new supercomputer, which will give much greater accuracy in forecasts, and will allow them to give accurate six-day forecasts.

To overcome the difficulty in terms of forecast accuracy encountered in forecasting crude oil prices, Abramson and Finizza (1991) study is among the early studies that followed the neural network approach to model the crude oil market.

To measure accuracy in earnings forecasts, StarMine uses several items, namely the date the estimate was made, the proximity to numbers subsequently reported and how the analyst's call looked relative to others from colleagues in the sector.

After gathering that mass of information from Thomson Financial, StarMine runs it through a battery of computations to score performances for accuracy in earnings forecasts and returns on stock recommendations.

The results showed that the proposed expert system with GA provided more accuracy in stock price forecasting problems.

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