CatBoost Hyperparameter Tuning Results for L2 Leaf Regularization

5.5 KB of performance metrics for an optimized CatBoost model, varying only the L2 leaf regularization parameter for a single cross-validation fold. The data was uploaded by Prosenjit Das to figshare on June 1, 2026, under a CC-BY-4.0 license. The specific metrics and model context are not detailed in the available metadata.

Use Cases

• Analyzing the sensitivity of a CatBoost model's performance to changes in L2 leaf regularization based on the described tuning process.
• Comparing model evaluation metrics across different regularization strengths for a specific training fold.
• Visualizing the relationship between a key regularization hyperparameter and model output as suggested by the dataset's title.

Strengths

• File size is 5.5 KB, indicating a compact and easily shareable dataset.
• Dataset has a clear, permissive license (CC-BY-4.0).
• The specific hyperparameter (L2 leaf regularization) and model (CatBoost) are explicitly named.

Limitations

• Row count and specific column names are unknown, which limits 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

Collection Method

Likely generated from a machine learning hyperparameter tuning experiment.

Freshness

Last updated 2026-06-01 17:51:53; freshness should be verified.