Machine Learning Model Performance for Predicting Poor Recanalization

Performance metrics for machine learning models predicting poor recanalization outcomes in a test set. The 9.5 KB Excel file was authored by Yingjie Kuang and last updated on May 8, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.

Use Cases

• Comparing model performance for a clinical prediction task based on the described test set.
• Benchmarking new predictive algorithms against existing results for recanalization outcomes.
• Informing feature selection for clinical prediction models based on performance analysis.

Strengths

• File size is precisely 9.5 KB, indicating a focused and manageable dataset.
• Has a clear, permissive license (CC-BY-4.0) for reuse and modification.
• Provides a specific last update timestamp of 2026-05-08 17:26:57.

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, author Yingjie Kuang

Freshness

Last updated 2026-05-08 17:26:57; freshness should be verified.