win95pts_1: Bayesian Network with 76 Nodes and 112 Arcs

A Bayesian network sample from the bnlearn repository, containing 76 nodes and 112 arcs. The network has 574 parameters, with an average Markov blanket size of 5.92 and a maximum in-degree of 7. Its license is designated as us-pd.

Use Cases

• Benchmarking structure learning algorithms based on the known network topology.
• Testing probabilistic inference methods based on the network's 574 parameters.
• Evaluating causal discovery algorithms based on the directed arc structure.
• Studying Markov blanket properties based on the reported average size of 5.92.

Strengths

• Well-defined network structure with 76 nodes and 112 arcs.
• Key topological metrics are provided, including average degree (2.95) and maximum in-degree (7).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for certain tasks.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

bnlearn Bayesian Network Repository

Collection Method

Likely a synthetic or modeled representation of a system.

Time Range

null

Freshness

Last update date is unknown; freshness unverified.

Geography

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