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Model performance was assessed by using three evaluation measures: the coefficient of determination (R2), the Nash-Sutcliffe efficiency coefficient (NS) and the root mean squared error (RMSE).
In order to objectively compare goodness of fit between models, we consider several measures: The coefficient of determination (R^{2}) [28], the maximum deviation between theory and observation D, and the Kolmogorov-Smirnov index p [28, 29].
To get more accurate evaluation of the results of ANN, ANFIS and SVM models, the four quantitative standard statistical performance evaluation measures, the coefficient of correlation (R), root mean squared error (RMSE), Nash Sutcliffe efficiency coefficient (NS) and mean absolute relative error (MARE), were employed to evaluate the performances of various models developed.
To investigate the relationship between the dynamic and static measures, the coefficient of determination (R2) was calculated for all atlas regions across all subjects between BPND values, obtained from SRTM and reference Logan graphical analysis methods, and SUVR values of several 20 min time windows.
Unlike other reliability measures the coefficient H is never less than the best indicator's reliability.
First, in the case of 19 of the 23 measures, the β1 coefficient (the slope prior to accreditation) is positive, as hypothesised, and in 10 measures the coefficient is significant.
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Among the three mercury measures, the coefficients from the regression models revealed some differences.
The modified dilatometer is used to measure the coefficient of thermal expansion, CTE, of some thin metallic and polymeric samples.
To quantify the magnitude of the observed convergence, we measured the coefficient of variation σc/⟨c⟩ for P cT), finding that this ratio decreases with time (Fig. 2C).
The study employed a specially designed tribo-acoustic probe capable of measuring the coefficient of friction and detecting the acoustical behavior of the skin in vivo.
A designed apparatus that detects the exact moment corresponding to the transition from rest to slip was used to measure the coefficient of static friction.
More suggestions(15)
evaluate the coefficient
means the coefficient
measures the liquidity
measures the advertising
measures the cost
measures the world
measures the criticism
measures the composition
measures the government
measures the thickness
measures the present
measures the performance
measures the leverage
measures the quality
measures the movement
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