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CIF 2016 Dataset

The Computational Intelligence in Forecasting (CIF) 2016 dataset contains 72 monthly time series originated from the banking domain used in the CIF 2016 forecasting competition. Out of the 72 time series, 24 series contains real-time data while the remaining 48 series are artificially generated.

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CreatorGodahewa, Rakshitha
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Published2020-06-08
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DOI10.5281/zenodo.4656042
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Downloads16,302
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Licensecc-by-4.0
File Size52.1 KB
Data TypeDataset
Published2020
Licensecc-by-4.0
Total Views7,173
Total Downloads16,302

The Computational Intelligence in Forecasting (CIF) 2016 dataset contains 72 monthly time series originated from the banking domain used in the CIF 2016 forecasting competition. Out of the 72 time series, 24 series contains real-time data while the remaining 48 series are artificially generated. There are two forecast horizons considered in the competition where 57 series consider the forecast horizon as 12 and the remaining 15 series consider the forecast horizon as 6. 

 

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CIF 2016 Dataset (Full Dataset)52.1 KB
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ReadmeVia DOI record
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Files are hosted on the source repository. Click download to access the full dataset.

Godahewa, Rakshitha (2020). CIF 2016 Dataset. https://doi.org/10.5281/zenodo.4656042