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56-node Bayesian network designed for forecasting severe weather, specifically hail. Hailfinder was authored by B. Abramson, J. Brown, W. Edwards, A. Murphy, and R. L. Winkler and published in the International Journal of Forecasting in 1996. The network structure contains 66 arcs and 2656 parameters, modeling probabilistic relationships between meteorological variables.
License is listed as 'us-pd' (U.S. Public Domain). The dataset is a model structure, not a traditional tabular dataset; specialized tools for Bayesian networks may be required.