The phrase "assess forecast" is correct and usable in written English.
It can be used when discussing the evaluation or analysis of a prediction or projection, often in contexts like business, finance, or weather.
Example: "Before making any decisions, we need to assess the forecast for the upcoming quarter to understand potential risks."
Alternatives: "evaluate prediction" or "analyze projection".
This agroecosystem-oriented, interdisciplinary research aimed to record, assess, forecast, and evaluate the time course of the environmental and socio-economic impacts of management-induced, changes on different structural and scale levels.
It is shown that the three methods for calculating the value impact render different results suggesting that the use of a single method to assess forecast development scenarios, whether cost or value-based methods, may be misleading and that the holistic approach proposed is more realistic.
The mean absolute percentage error (MAPE) was calculated to assess forecast accuracy and to select an optimum model.
In addition, we used the mean absolute percentage error (MAPE) and fitting effect diagram to assess forecast accuracy., where x t and denote observed and fitted values at time point t.
Four days later, a team assembled by the National Weather Service to review the damage and assess forecasting skill walked house to house, trying to gauge the tornado's destructive power more thoroughly.
The HydroTest web site provides a wide range of objective metrics and consistent tests of model performance to assess forecasting skill.
Additionally, two natural phenomena time series are used to assess forecasting performance of the proposed IMP with other non financial time series.
Furthermore, an empirical analysis is conducted with the proposed model using a set of six relevant air pollutant concentration forecasting problems and employing three statistical measures to assess forecasting performance.
As the aim was to evaluate the performance of the UKPDS-OM for the whole PTM cohort across 10 years of simulation and account for the uncertainty around the observed data, preference was given to measures such as model bias (mean absolute error) and MAPE, which are commonly used to assess forecasting accuracy.
This category assessed forecast rent growth, office-using employment growth and office space under construction.
Some of the studies used all the available data to fit a model and did not reserve data for assessing forecast accuracy.
