Mean Percentage Error Calculator
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| Scientific Calculator | Statistics relative error calculator Calculator In the real world, the data measured or used can percent error be negative is normally different from the true value. The error comes from the measurement inaccuracy or the approximation used negative percent error instead of the real data, for example use 3.14 instead of π. Normally people use absolute error, relative error, and percent error to represent such discrepancy: absolute error = |Vtrue - Vused| relative error = |(Vtrue
What Is A Good Percent Error
- Vused)/Vtrue| (if Vtrue is not zero) percent error = |(Vtrue - Vused)/Vtrue| X 100 (if Vtrue is not zero) Where: Vtrue is the true value Vused is the value used The definitions above are based on the fact that the true values are known. In many situations, the true values are unknown. If so, people use the standard deviation to represent the error. Please check the standard deviation calculator. Math CalculatorsScientificFractionPercentageTimeTriangleVolumeNumber SequenceMore Math CalculatorsFinancial | Weight Loss | Math | Pregnancy | Other about us | sitemap © 2008 - 2016 calculator.net
the quantity being forecast. The formula for the mean percentage error is MPE
Percent Error Worksheet
= 100 % n ∑ t = 1 n percent error excel a t − f t a t {\displaystyle {\text{MPE}}={\frac {100\%}{n}}\sum _{t=1}^{n}{\frac {a_{t}-f_{t}}{a_{t}}}} where at is percent accuracy the actual value of the quantity being forecast, ft is the forecast, and n is the number of different times for which the variable http://www.calculator.net/percent-error-calculator.html is forecast. Because actual rather than absolute values of the forecast errors are used in the formula, positive and negative forecast errors can offset each other; as a result the formula can be used as a measure of the bias in the forecasts. A disadvantage of this measure is https://en.wikipedia.org/wiki/Mean_percentage_error that it is undefined whenever a single actual value is zero. See also[edit] Percentage error Mean absolute percentage error Mean squared error Mean squared prediction error Minimum mean-square error Squared deviations Peak signal-to-noise ratio Root mean square deviation Errors and residuals in statistics References[edit] Khan, Aman U.; Hildreth, W. Bartley (2003). Case studies in public budgeting and financial management. New York, N.Y: Marcel Dekker. ISBN0-8247-0888-1. Waller, Derek J. (2003). Operations Management: A Supply Chain Approach. Cengage Learning Business Press. ISBN1-86152-803-5. Retrieved from "https://en.wikipedia.org/w/index.php?title=Mean_percentage_error&oldid=723517980" Categories: Summary statistics Navigation menu Personal tools Not logged inTalkContributionsCreate accountLog in Namespaces Article Talk Variants Views Read Edit View history More Search Navigation Main pageContentsFeatured contentCurrent eventsRandom articleDonate to WikipediaWikipedia store Interaction HelpAbout WikipediaCommunity portalRecent changesContact page Tools What links hereRelated changesUpload fileSpecial pagesPermanent linkPage informationWikidata itemCite this page Print/export Create a bookDownload as PDFPrintable version Languages Add links This
Definition The percentage error, also known as percent error, is a measure of how innaccurate percent error a measurement is, standardized to how large the measurement is. It is the relative error expressed in terms of per 100. The relative error mean percentage error is calculated as the absolute error divided by the magnitude of the exact value. The absolute error is the magnitude of the difference between the actual value and the estimated value. Calculating Percent Error The percentage error calculation formula is as following: Percent error = (Estimated value - Actual value) / Actual value × 100% (in absolute value) ©2016 miniwebtool | Terms and Disclaimer | Privacy Policy | Contact Us