The series vary in length (68 to 144 observations) and include seasonal, non-seasonal, and "difficult" patterns with outliers and structural breaks. Key Strengths
11 monthly time series used as a small-scale pilot. nn3.zip
111 monthly time series, including the 11 from the reduced set. The series vary in length (68 to 144
Contestants were traditionally required to forecast 18 points into the future. The NN3 competition was designed to evaluate how
The historical data is typically provided in vertical columns of varying lengths.
It is a standard historical benchmark in the forecasting community and is often included in modern research packages like the tscompdata R package on GitHub.
The NN3 competition was designed to evaluate how modern neural network (NN) and computational intelligence (CI) methods compare to traditional statistical benchmarks like those used in the M3 competition. Composition: