Nn3.zip May 2026

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:

For modern use, researchers often access these files through the NN3 Official Website or data science repositories like Kaggle . Critical Reception

111 monthly time series, including the 11 from the reduced set. nn3.zip

11 monthly time series used as a small-scale pilot.

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.

The "masked" nature of the data (anonymized origin) ensures that models must rely on time series patterns rather than domain-specific knowledge. Practical Considerations 11 monthly time series used as a small-scale pilot

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.