Citation Validity Predicting Accuracy via Univariable Logistic Regression

Univariable logistic regression results for predicting accuracy based on citation validity. The 5.5 KB XLS file was authored by Prita Abhay Dhaimade and last updated on May 29, 2026. Its specific data source and collection method are not detailed in the provided metadata.

Use Cases

• Train a binary classifier for research paper accuracy based on citation validity features.
• Benchmark logistic regression performance for citation-based prediction tasks.
• Analyze the relationship between citation validity and prediction accuracy in academic literature.

Strengths

• File size is 5.5 KB, indicating a focused and easily downloadable dataset.
• Dataset is openly licensed under CC-BY-4.0, permitting broad reuse with attribution.

Limitations

• Row count and column definitions are unknown, limiting suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Freshness

Last updated 2026-05-29 17:32:30; freshness should be verified.