I would like to evaluate the predictive performance of a statistical model using Normalized Root Mean Square Error (NRMSE = RMSE/mean (observed)). However, the mean value of the observation data is all '0' (all observed data are '0'). How can I calculate the NRMSE, otherwise is there any other technique which can represent the relative/percentage value of error with such data aspect?

# Solved – Normalized Root Mean Square Error (NRMSE) with zero mean of observed value

errorprediction

## Best Answer

I think you can, but instead of dividing the RMSE by the mean, you may divide it by (max-min) value