Nn3.zip ❲Editor's Choice❳
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. nn3.zip
The series vary in length (68 to 144 observations) and include seasonal, non-seasonal, and "difficult" patterns with outliers and structural breaks. Key Strengths The historical data is typically provided in vertical
For modern use, researchers often access these files through the NN3 Official Website or data science repositories like Kaggle . Critical Reception Key Strengths For modern use, researchers often access
Contestants were traditionally required to forecast 18 points into the future.
Includes a wide range of real-world business patterns (e.g., industry data), making it a robust test for model generalization.
111 monthly time series, including the 11 from the reduced set.
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 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
Contestants were traditionally required to forecast 18 points into the future.
Includes a wide range of real-world business patterns (e.g., industry data), making it a robust test for model generalization.
111 monthly time series, including the 11 from the reduced set.
