hailfinder_10
OpenML dataset with id 45185
B. Abramson, J. Brown, W. Edwards, A. Murphy, and R. L. Winkler., OpenML
Full work available at URL: https://api.openml.org/data/v1/download/22115847/hailfinder_10.arff
Upload date: 26 April 2023
Dataset Characteristics
Number of features: 56 (numeric: 0, symbolic: 0 and in total binary: 0 )
Number of instances: 5,000
Number of instances with missing values: 0
Number of missing values: 0
Hailfinder Bayesian Network. Sample 10.
bnlearn Bayesian Network Repository reference: URL
- Number of nodes: 56
- Number of arcs: 66
- Number of parameters: 2656
- Average Markov blanket size: 3.54
- Average degree: 2.36
- Maximum in-degree: 4
Authors: B. Abramson, J. Brown, W. Edwards, A. Murphy, and R. L. Winkler.
Please cite: (URL): B. Abramson, J. Brown, W. Edwards, A. Murphy, and R. L. Winkler. Hailfinder: A Bayesian system for forecasting severe weather. International Journal of Forecasting, 12(1):57-71, 1996.
This page was built for dataset: hailfinder_10
