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RMSE is a frequently used measure of the differences between values predicted by a model or an estimator and the values actually observed.
We ran RMSE (root-mean-square error – measure of the differences between values predicted by a model or an estimator and the values actually observed) measurements for each levels of blurring, and for each measurement, we used 10,000 data items as input.
This statistic measures the differences between values predicted by a model estimator against the actual value.
The root mean square deviation (RMSD) is frequently used in measuring the difference between values predicted by a model and the values actually observed.
RMSE is a frequently used measure of the difference between values predicted by a model and values actually observed, providing the models are expressed in the same unit of measure, as in our case [ 20].
This platform retrieves specific parameters for constructed models as the TM score (range 0-1), an index reflecting the accuracy of alignment for two given structures, and the root-mean-square-deviation (RMSD) score that indicates a measure of the differences between values predicted by retrieved models and the values actually observed in PDB templates.
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A very good match between the values predicted by the model and those originated from the experiments were observed.
Consequently, a good correlation was observed between the values predicted by the equation and those obtained experimentally, as demonstrated by the R2 and RMSE values.
It is a measure of the differences between the values predicted by the metric and the scores actually given by the observers.
Due to the prime importance of mean parameters in HMM-based speech synthesis [47], we investigate the difference between mean values predicted by two systems.
In addition, the relative error of chloride concentration between the values predicted by the time dependent model of instantaneous diffusion coefficients and the measured values is less than that predicted by the time dependent model of apparent diffusion coefficients.
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