111 monthly time series, including the 11 from the reduced set.
For modern use, researchers often access these files through the NN3 Official Website or data science repositories like Kaggle . Critical Reception
A review of typically refers to the dataset from the NN3 Forecasting Competition (2006–2007), a seminal event in neural networks and computational intelligence for time series forecasting. This file usually contains a collection of 111 monthly time series drawn from empirical business data. Dataset Overview nn3.zip
Includes a wide range of real-world business patterns (e.g., industry data), making it a robust test for model generalization.
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: 111 monthly time series, including the 11 from
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 "masked" nature of the data (anonymized origin) ensures that models must rely on time series patterns rather than domain-specific knowledge. Practical Considerations This file usually contains a collection of 111
11 monthly time series used as a small-scale pilot.