# Converting confidence intervals into a single metric?

Let's say you are given a time series prediction, and it's corresponding 95% upper and lower confidence interval. What would be the best metric for summarizing these confidence intervals in a single, easy-to-understand number?

I.E. Maybe you could take the width of the confidence interval as a percentage of the prediction?

Your suggestion is on the right track. The margin of error (MOE) is usually defined as the half-width of the interval, which is expressed either in absolute units or as a percentage of the prediction. For example, you could write, "The predicted value is $12 \pm 3$ or $12 \pm 25$% with 95% confidence."