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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.
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It was possible also to solve for the error of prediction (see 5)—that is, a measure of the discrepancy between the value predicted and the true value of the series that would occur at time k in the future.
We find a high degree of correlation between the value predicted by dipole braking mechanism, ¨νdipole, and the measured value, ¨ν.
b) Density plot of the differences between the observed values and the predicted values using the independent validation set.
The root mean square deviation (RMSD) is frequently used in measuring the difference between values predicted by a model and the values actually observed.
This statistic measures the differences between values predicted by a model estimator against the actual value.
RMSE is a frequently used measure of the differences between values predicted by a model or an estimator and the values actually observed.
A good correspondence was observed between the actual yields and values predicted by the statistical models.
The comparisons between DXA results and values predicted by the equations are listed in Table 4.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com