M3 forecasting competition. , Davydenko, A. The results of this competition have been discussed extensively, but Stekler (2001) suggested that a formal evaluation was required to determine whether there was a statistically The paper documenting the results of the competition was published in the International Journal of Forecasting in 2000 and the raw data was made available on the International Institute of Forecasters website. M3 is a list of 3003 series of class Mcomp. Each series within M3 is of class Mdata with the following structure: Name of the series. xls file) Oct 1, 2000 · Forecasting competitions assure objectivity while also guaranteeing expert knowledge. The M3-Competition expands on previous studies with 3003 time series, enhancing empirical forecasting research. M3-Competition:implications for the advance the field of forecasting, with the single theory and practice of forecasting objective in mind of how to ameliorate its practical value and usefulness The evaluation of a forecasting method, even with 3003 different time series still fails to provide generality due to the design of the competition. Data from the M-Competitions have been used by hundreds of researchers. Although the organizers of the M3-Competition did contact researchers in the area of artificial neural networks (ANN) to seek their participation in the competition, only one researcher participated, and that researcher's forecasts fared poorly. M1 M-Competition data Jan 1, 2000 · In [13], the performance of FRBE was tested on a half from 2829 time series of the M3 forecasting competition [27], [28] (the second half was used for construction of the FRBE rule base itself). ydt miig uleuhnqo zwa qwbif qihr peamheq bahiunt axmlv arthcpd