Win95pts: Bayesian Network with 76 Nodes and 112 Arcs

A Bayesian network named Win95pts, 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. It is a discrete, large-scale network from the bnlearn repository, hosted on OpenML.

Use Cases

• Benchmarking structure learning algorithms based on the known network topology.
• Testing probabilistic inference methods based on the 574 defined parameters.
• Studying the properties of discrete graphical models based on the reported average degree and Markov blanket size.

Strengths

• Well-defined network structure with 76 nodes and 112 arcs.
• Detailed topological metrics provided, including average Markov blanket size (5.92) and maximum in-degree (7).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and sample data are unavailable, which may limit suitability assessment.

Provenance

Source

bnlearn Bayesian Network Repository

Collection Method

Likely a synthetic or modeled network representing a system.

Time Range

null

Freshness

Last update date is unknown; freshness unverified.

Geography

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