Target audience

This project may present interest to you if you are

• a researcher who wants to conduct forecasting competitions

• a researcher who wants to compare their new forecasting methods against well-known alternatives

• a practitioner who wants to implement software components to evaluate forecasting performance

The approach we propose allows you to:

• represent your forecast data in the form that is suitable for further analysis of forecasting performance and for the exchange with other researchers

• perform exploratory analysis of forecasts in order to make sure that your data is correct, does not contain any unexpected values, and is ready for accuracy evaluation

• evaluate forecasting performance based on the data formats defined in our approach

Our approach does not depend on any platform or programming language, it just defines the general methodology for handling forecasting data.

To cite this website, please use the following reference:

Sai, C., Davydenko, A., & Shcherbakov, M. (date). The Forvision Project. Retrieved from https://forvis.github.io/

_{© 2020 Sai, C., Davydenko, A., & Shcherbakov, M. All Rights Reserved. Short sections of text, not exceed two paragraphs, may be quoted without explicit permission, provided that full acknowledgement is given.}