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There are several ways to evaluate the forecast performances.
The regression process greatly improved ET0 forecast performances, particularly for the regions involving stations near the coast, or with a complex orography.
Errors in the radiation forecasts, followed by those in the wind, had the most detrimental effects on the ET0 forecast performances.
The capability of the GFMAPR variants for single horizon forecasting was subsequently investigated by comparing their forecast performances with results produced by six forecasting models with forecasting capability commonly used or designed for use in industrial accidents forecasting.
( sigma^ = vhat{sigma } ). Figure 4 shows the points of troughs ( p ) which indicate model best forecast performances at set partition index regions ( sigma^ + i = { 1 le i < sigma_{i} } ) (Table 7).
In track precipitation forecasting, the naïve model (simple linear regression) is introduced and a comparison of the forecast performances of the seasonal and global models and the naïve model (Mason and Baddour 2008; Gabriele and Francesco 2012) is done.
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rates more than 3,000 stocks, from A to D, based on the solidity of their financial position; the ratings are not intended to forecast performance.
This is accomplished by comparing forecast performance to observed performance.
To improve its forecast performance, we first expand the RI algorithm by introducing spatial smoothing.
Table 2 Criteria of MAPE MAPE, % Forecast performance <20 Excellent 20 30 Good 30 50 Reasonable >50 Incorrect.
RMSE values approaching 0 and CC values approaching 1 signify better forecast performance.
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