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As the prediction comparison is meaningful only provided that it is performed based on the same datasets and evaluated using the same performance evaluation measures, we implemented these two methods previously proposed and applied three measures to evaluate the prediction performance based on the current dataset.
A wide variety of standard statistical performance evaluation measures are needed to properly evaluate the performances of various ANN models rather than relying on a few global error statistics (such as RMSE and correlation coefficient) normally employed.
He and the union agreed on performance evaluation measures last year, the first time in 50 years that the yardsticks had been revised.
Therefore, image fusion performance evaluation measures which do not require the availability of an ideal image have to be employed.
Sample quality merits including sample sizes and noise, and metamodel performance evaluation measures incorporating accuracy, robustness, and efficiency are considered.
The incorporation of λ FAR into the CTMC model allows for obtaining exact and accurate state transition probabilities that improves calculation of the performance evaluation measures.
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F1Score is a performance evaluation measure.
It proposes a new performance evaluation measure, the SU self-termination probability.
To obtain S-GFMAPR forecasts that are not strictly hinged on a single performance evaluation measure, a comparative performance index (CPI) was developed.
The performance evaluation, measured from fundamental implementation toward advanced application reveals that a quarter of samples fulfilled the progression of planning-to- shape integration as well as model production.
Considering that the final performance evaluation measure is the digital transmission characteristic in terms of BER or spectral efficiency, i.e., often referred to as channel capacity, we evaluate the channel capacity performance (in bps/Hz), where equal powers are allocated to each input port.
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