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The mean absolute percent prediction error (MAPE), .

The summation ignores observations where yt = 0.

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Q: What is mean absolute percentage error?
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What does it mean to have a high percentage error?

It means that, relative to the true value of whatever you are trying to measure, the estimated (or calculated) value is quite a long way off.If the real value of something is 5 but is measure as 7 the absolute error is 7 - 5 = 2, but the percentage error is 100*2/5 = 40%If the true value is 100 and it is measured as 103, the absolute error is 103 - 100 = 3 which is greater than before. But the percentage error is only 100*3/100 = 3%.


Absolute error and occurrence?

brifly explain about the absolute error?


Define error relative error and absolute error give examples of each?

Error is the term for the amount of difference between a value and it's approximation, and is represented by either an upper or lower case epsilon (E or ε)Eabs, absolute error, is |x-x*| where x* is the approximate of x, and gives a value that shows how far away the approximate is as a numerical valueErel, relative error, is |x-x*| / |x| and gives a value that shows how far away the approximate is as a decimal percentage i.e. if you times the relative error by 100 you get the percentage error of the approximation.


Why do you use average percentage error and why is it better than mean error?

Percentage error shows how wrong an answer can be with respect to the value of the answer itself. So, we can see how serious the errors are. For example, lets say we have an answer whose mean error is 40. If nothing is given of the actual value of the answer, we cannot determine if this error is insignificant or very serious. If the actual answer was 40000, this mean error of 40 is quite insignificant as the percentage error is 40/40000 x 100 = 0.1 % 0.1 % error is quite insignificant. Mean error, on the other hand, does not help us to determine the significance of this error in any way.


How do you calculate percentage error?

It is your estimate minus the true value divided by the true value and multiplied by 100. So, % error = (estimate - actual) / actual * 100, in absolute value. For example, if you estimate that there are 90 jelly beans in a jar when there are actually 130 your percentage error is: (90-130)/130 * 100 = -40/130 * 100 = -0.308*100 = -30.8% After absolute value, the answer is simply 30.769, or 30.8%.