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References in periodicals archive ?
The mean squared error for the litter size ranged between 0.24 and 0.39 with the correlation coefficient ranging from 0.37 to 0.47, whereas the mean squared error for the ovulation rate (only for the Rambouillet sheep) amounted to 0.31 - 0.33 with the correlation coefficient ranging between 0.38 and 0.45.
The hysteresis test confirms the two signals as fairly similar due to the fact that root mean squared error (RMSE) between data "Tilt increase - Tilt decrease" is near to zero, therefore, it can be inferred that sensor hysteresis is negligible and doesn't affect the measurements significantly.
The explained variance, predictive mean squared error, and PRESS are the mean of all values calculated for each dataset.
To do so, let us minimize the mean squared error (MSE) of the received signal X in (6) with respect to [[beta].sub.k], i.e.,
Obtained results of the developed individual and integrated classification models are compared using accuracy, true positive rate, precision, F-measure, kappa statistic, mean absolute error, and root mean squared error. Principally, the output of a classification model is produced in the form of TP, TN, FP, and FN; and then, the aforesaid parameters are calculated using these values.
Mean Squared Error (MSE) comprises of three proportion components termed as the bias proportion, variance proportion and the covariance proportion expressed as;
SE is defined as the square root of the mean squared error (MSE), where MSE is the error sum of squares divided by degrees of freedom (see Figure 4).
To drive mean squared error of(19) we have(40) as follows:
The quality of the image measures the change between the original image (X) and denoised image (Y) is a mean squared error and it is given by
The mean squared error shown in these tables is defined as 1/2 (measured value--predicted value) (2).
At last, the mean squared error of this dataset can be calculated.
We calculate the mean forecast error (MFE), mean absolute forecast error (MAE) and the root mean squared error (RMSE), the formulas for which can be found in Kirby et al.