Percent errors indicate how big our errors are when we measure something in an analysis process.
Smaller percent errors indicate that we are close to the accepted or original value.
For example, an error indicates that we got very close to the accepted value, while means that we were quite a long way off from the true value.
Percent error is the difference between the estimated value and the actual value in comparison to the actual value and is expressed as a percentage. In other words, the percent error is the relative error multiplied by .