Cross-Language Build Prediction Performance Using Random Forest

A 5.5 KB Excel file containing performance data for cross-language build prediction using a Random Forest model. The dataset was authored by Lalit Narayan Mishra and last updated on 2026-05-27. The specific number of rows and column definitions are not provided in the metadata.

Use Cases

• Benchmarking Random Forest performance for cross-language build prediction tasks.
• Analyzing model performance metrics likely contained in the dataset.
• Comparing predictive outcomes across different software build scenarios.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• Released under a permissive CC-BY-4.0 license for open use.

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 2026-05-27 17:39:33; freshness should be verified.