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.
111 monthly time series, including the 11 from the reduced set. nn3.zip
The historical data is typically provided in vertical columns of varying lengths. It is a standard historical benchmark in the
Includes a wide range of real-world business patterns (e.g., industry data), making it a robust test for model generalization. Includes a wide range of real-world business patterns (e
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:
The series vary in length (68 to 144 observations) and include seasonal, non-seasonal, and "difficult" patterns with outliers and structural breaks. Key Strengths
For modern use, researchers often access these files through the NN3 Official Website or data science repositories like Kaggle . Critical Reception