Mean absolute error (MAE) and mean relative error (MRE)

GX Guoping Xu
YR Yogesh Rathi
JC Joan A. Camprodon
HC Hanqiang Cao
LN Lipeng Ning
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The mean absolute error (MAE) was defined as the absolute value of the difference between the predicted E-field magnitude and the reference. The mean relative error (MRE) was defined as the ratio between MAE and the reference E-field magnitude within the corresponding target region. Here, MRE was only computed within the target region to avoid singularity when computing the ratio.

where K denotes the number of vertices on brain surfaces.

Normalized root-mean-square error (NRMSE): To compare the vector E-field in volume space, we computed the NRMSE measure [42] using the method below

where N denotes the number of voxels. We computed the NRMSE measure using the whole-brain E-field as well as the target region that contained the 5% voxels around the peak of the reference E-field.

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