Sup_metrics_evaluation: Algorithm Performance Metrics

Evaluation and performance metrics of algorithms used in a machine learning context. The dataset is a 30.9 KB CSV file authored by Daryl Cruz and last updated on May 22, 2026. The specific algorithms and metrics evaluated are not detailed in the description.

Use Cases

• Benchmark algorithm performance based on evaluation metrics mentioned in the description
• Compare different algorithms using standardized performance metrics
• Validate algorithm efficacy for specific tasks based on reported metrics

Strengths

• File size is precisely 30.9 KB, indicating a compact dataset
• License is clearly defined as CC-BY-4.0, allowing open reuse
• Last update date is explicitly stated as 2026-05-22 18:18:35

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 2026-05-22 18:18:35; freshness should be verified