NME

NME, or Normalized Mean Error, is a statistical measure used to evaluate the accuracy of a model's predictions. It calculates the average difference between predicted and actual values, then adjusts this based on the scale of the data to allow for comparison across different datasets. Essentially, NME provides a percentage that indicates how close predictions are to real observations, with lower values representing more accurate models. It's a useful tool for assessing and comparing the performance of predictive models across various applications, ensuring that the evaluation is fair regardless of the data's size or units.