Model Performance Metrics: Matthew's Correlation Coefficient for Machine Learning Models

A small dataset of 9.7 KB containing Matthew's Correlation Coefficient values for different machine learning models evaluated in a study. The data was authored by Troy J. Kieran and last updated on May 8, 2026. It is available under a CC-BY-4.0 license on the figshare platform.

Use Cases

• Comparing model performance based on the Matthew's Correlation Coefficient metric mentioned in the description.
• Benchmarking machine learning algorithms using a specific evaluation metric.
• Supporting academic studies that require model evaluation scores for analysis.

Strengths

• Dataset is small at 9.7 KB, facilitating quick download and inspection.
• Has a clear, permissive license (CC-BY-4.0).
• Last update timestamp is precisely recorded (2026-05-08 17:49:05).

Limitations

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

Provenance

Source

figshare

Freshness

Last updated 2026-05-08 17:49:05.