Analcatdata Supreme: U.S. Supreme Court Case Classification Dataset

84 data sets from the book 'Analyzing Categorical Data' by Jeffrey S. Simonoff, published in 2003. The 'analcatdata_supreme' subset is used for regression on categorical and numerical features in a tabular data benchmark. The original collection includes comma-delimited ASCII and Microsoft Excel formats.

Use Cases

• Benchmarking regression model performance based on the mixed categorical and numerical feature structure.
• Analyzing patterns in legal case classification based on the 'Supreme Court' platform tag.
• Studying categorical data analysis techniques using the curated examples from the source book.

Strengths

• Part of a curated collection of 84 data sets from a published academic textbook.
• Specifically included in a public tabular data benchmark for model evaluation.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and specific features for this subset are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Jeffrey S. Simonoff, from the book 'Analyzing Categorical Data', Springer-Verlag, 2003.

Collection Method

Curated for the book 'Analyzing Categorical Data'.