The phrase "average of the error" is correct and usable in written English.
It can be used in contexts involving statistics, data analysis, or error measurement, where you want to refer to the mean value of a set of errors.
Example: "To assess the model's performance, we calculated the average of the error across all test samples."
Alternatives: "mean error" or "mean of the errors".
The approach is tested using 772 experimental data points (published in open literature), and the results show that the average of the error percentages between the predictions and experimental velocities are reduced from several orders of magnitude to 37%.
Note in this table that the annual average of the error varies between −7.807 and −9.691%.
In this case, the error has been computed as the average of the error e for all the videos used in this experiment.
As the weights are updated following the average of the error within the batch, we hoped that this stochastic mixing of the two error functions would help the maxout network avoid local minima.
There are other schemes that handle the error covariance terms "very lightly" such as Kalman Consensus schemes, which take the average of the error covariances of the parameter estimates in order to implement the DKF with only communication between neighboring nodes being used[16, 17].
The average of the error terms was therefore set to zero in the simulations.
Therefore, the average of the errors can be interpreted as the average error of the algorithm in this model.
For each combination of mean of coverage, SD of coverage, and number of SNPs, we replicate 30 random frequencies and take the average of the errors as final error.
More specifically, for each particular value of infarct volume, this method estimates the average percent error as a weighted average of the errors of patients with infarct volumes close to that particular value.
When all the cells have the completely synchronized dynamics, the average of the errors over the cells should be zero, i.e., ASE ≈ 0. Otherwise, ASE will be more than zero.
Then, we take the average of this error over the number of observations taken at a certain realization.
