The phrase "accuracy in prediction" is correct and usable in written English.
It can be used when discussing the reliability or correctness of forecasts or estimations in various contexts, such as science, finance, or data analysis.
Example: "The accuracy in prediction of the weather model has significantly improved over the past decade."
Alternatives: "precision in forecasting" or "correctness in estimation".
Nevertheless, there are patient populations in which those markers showed a good predictive accuracy in prediction of outcome [[18],[21],[22]], but still we lack data about ICU patients.
Nevertheless, there are patient populations in which those markers showed a good predictive accuracy in prediction of outcome [[ 18],[ 21],[ 22]], but still we lack data about ICU patients.
For lower corrosion damage, the method is expected to show reasonable accuracy in prediction.
This is reasonable since more historical data will lead to higher accuracy in prediction.
Compared to the multiple regression analysis neurofuzzy logic showed higher accuracy in prediction for the five outputs studied.
The Langmuir isotherm and pseudo second order kinetic model showed the acceptable accuracy in prediction of adsorption data.
Although they provide little accuracy in predictions for a particular day or hour, such maps have helped federal climate prediction centers extend their forecasts of the most probable general conditions that can be expected up to two weeks ahead.
A comparative study had been made of these developed approaches in terms of accuracy in predictions.
Comparisons with the experimental results indicate that the proposed model can provide a reasonable good accuracy in predictions.
The results show that the proposed model on overage can achieve over 80% accuracy in predictions within a 60-min horizon, yielding low prediction errors regarding mean absolute error (MAE), mean error (ME) and root mean square error (RMSE) measures.
Overall, there was greater accuracy in predictions about lack of change, than in identifying individuals who would achieve improvement in outcome.
