Smape Vs Mape Pro Has 13
Smape Vs Mape Series Forecasting Effect
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Most common metric that is used is the symmetric Mean Absolute Percentage Error (sMAPE).

For instance see below, a table below published in the M3 competition where the naive model is 16.91.

Smape Vs Mape Pro Has 13

The best model theta has 13.85 and second best model forecastpro has 13.86.

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Smape Vs Mape Series Forecasting Effect

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DOI: 10.1016J.IJFORECAST.2006.03.001 Corpus ID: 15947215 Another look at measures of forecast accuracy articleHyndman2006AnotherLA.

The methods used in the M-competition and the M3-competition, and many of the measures recommended by previous authors on this topic, are found to be inadequate, and many of them are degenerate in commonly occurring situations.

Instead, we propose that the mean absolute scaled error become the standard measure for comparing forecast accuracy across multiple time series.

Goodwin Geography 2014 3 Save Alert Research Feed A new measure of forecast accuracy Haijun Chen, L.

Wu Mathematics 2010 2nd IEEE International Conference on Information and Financial Engineering 2010 5 Save Alert Research Feed A note on upper bounds for forecast-value-added relative to nave forecasts P.

Goodwin, F. Petropoulos, R.

Hyndman Mathematics, Computer Science J.

Oper. Res. Soc. 2017 3 PDF View 2 excerpts, cites background Save Alert Research Feed The forecastability quotient reconsidered E.

S. Gardner, Y. Acar Mathematics 2016 PDF Save Alert Research Feed How to Estimate Forecasting Quality: A System- Motivated Derivation of Symmetric Mean Absolute Percentage Error (SMAPE) and Other Similar Characteristics V.

Kreinovich, H. Nguyen, Rujira Ouncharoen Mathematics 2014 6 Highly Influenced PDF View 4 excerpts, cites background Save Alert Research Feed Data transforms with exponential smoothing methods of forecasting Adrian Beaumont Mathematics 2014 13 Save Alert Research Feed Measuring forecast accuracy R.

Hyndman 2014 26 PDF View 2 excerpts, cites methods Save Alert Research Feed A new accuracy measure based on bounded relative error for time series forecasting C.

Garibaldi Mathematics, Medicine PloS one 2017 77 PDF Save Alert Research Feed Another Look at Forecast Accuracy Metrics for Intermittent Demand R.

Hyndman Computer Science 2006 188 PDF View 1 excerpt, cites methods Save Alert Research Feed Forecast Accuracy and Bias S.

K. Smith, Jeff Tayman, D.

A. Swanson Mathematics 2013 2 Save Alert Research Feed.

References SHOWING 1-10 OF 44 REFERENCES SORT BY Relevance Most Influenced Papers Recency The accuracy of extrapolation (time series) methods: Results of a forecasting competition Spyros Makridakis, A.

Winkler Computer Science 1982 1,272 View 3 excerpts, references methods and background Save Alert Research Feed An MSE statistic for comparing forecast accuracy across series P.

Thompson Mathematics 1990 36 Save Alert Research Feed Error Measures for Generalizing About Forecasting Methods: Empirical Comparisons J.

Armstrong, F. Collopy Mathematics 1992 1,075 Highly Influential PDF View 4 excerpts, references methods and background Save Alert Research Feed Another Error Measure for Selection of the Best Forecasting Method: The Unbiased Absolute Percentage Error F.

Collopy, J. Armstrong 2000 16 PDF Save Alert Research Feed The evaluation of extrapolative forecasting methods R.

Fildes Computer Science 1992 238 Highly Influential View 4 excerpts, references background and methods Save Alert Research Feed Economic and Statistical Measures of Forecast Accuracy C.

Granger, M. Pesaran Economics 2000 389 PDF Save Alert Research Feed On the limitations of comparing mean square forecast errors Michael P.

Clements, D. Hendry Mathematics 1993 343 Save Alert Research Feed Unmasking the Theta Method R.

Hyndman, B. Billah Mathematics 2003 110 PDF View 1 excerpt, references methods Save Alert Research Feed On the asymmetry of the symmetric MAPE P.

Armstrong Psychology 2001 155 PDF View 1 excerpt, references results Save Alert Research Feed.

Related Papers Abstract Figures and Tables Paper Mentions 2,690 Citations 44 References Related Papers Stay Connected With Semantic Scholar Sign Up About Semantic Scholar Semantic Scholar is a free, AI-powered research tool for scientific literature, based at the Allen Institute for AI.

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