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The performance of different schemes was tested using error criteria of correlation coefficient, average error, average absolute deviation, and mean square error.
The predictions of f from the stand-level model were compared with those from the Maestra model using criteria such as the relative average error (average bias, e%, Equation 8), the relative mean absolute error (MAE%, Equation 9), and the mean square error (MSE, Equation 10) (Janssen and Heuberger [1995]; Vanclay and Skovsgaard [1997]).
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We use " S X) → M (X): average mean error ± average standard deviation" to denote the system/model configuration and the associated error data; X denotes the rate law used to create the system S and infer the model M, respectively.
For each of these polling firms, I have calculated the average error and the average statistical bias in the margin it reported between President Obama and Mitt Romney, as compared against the actual results nationally or in one state.
For each of the two dozen polling firms that issued at least five surveys in the final three weeks of the campaign, counting both state and national polls, I have calculated an average error and an average statistical bias.
Their average error then was 8.4%.
The standard error is slightly larger than the average error.
The average error refers average of absolute difference between presented auditory frequency and rope-turning frequency.
Average error of localization is the average of all E j defined by Eq. (8), and average weighted error is the average of all E wj defined by Eq. (9).
In addition, a good agreement is also obtained for the vertical temperature prediction: an average error of 4% corresponding (average deviation of 0.7 °C).
A comparison among constructed models and previous models using the concepts of correlation coefficient, mean square error, average relative error and absolute average relative error reveals power-law committee machine outperforms all SVR, ACE, and previous models.
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