How can we calculate the accuracy from the Mean Absolute Error (MAE)
In my opinion, it is impossible.
Accuracy = 1 - mean(abs( (X_Calc - X_Meas)/X_Meas) ) and
MAE = mean(abs(X_Calc - X_Meas)) .
But mean(A/B) =/= mean(A)/mean(B)
If the error bar is Gaussian, I think there is a relation between MAE and MSE
MAE = sqrt(2/pi)*sqrt(MSE)
Holds true when bias is zero or when errors follow normal distribution with zero mean, and constant variance
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