ML-BAMS: Hiring Model Performance Indicators from MATLAB Simulation

9.5 KB Excel file consolidates empirical performance indicators from a MATLAB simulation. The dataset contrasts the behavior of the ML-BAMS system with a conventional hiring model across six critical evaluation domains. It was authored by Baijia Song and last updated on June 3, 2026.

Use Cases

• Benchmark ML-based hiring systems against conventional models based on the six evaluation domains.
• Validate simulation results for hiring algorithm performance based on empirical indicators.
• Analyze trade-offs between different hiring methodologies based on comparative performance data.

Strengths

• Data is openly licensed under CC-BY-4.0.
• File size is 9.5 KB, indicating a compact and focused dataset.
• Dataset explicitly contrasts two systems across six evaluation domains.

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

Collection Method

Generated from MATLAB simulation.

Freshness

Last updated 2026-06-03 17:26:21; freshness should be verified.