MT-ADSCCA: Performance Summary Versus Feature-Selection Baseline

5.5 KB Excel file containing a performance summary comparing the MT-ADSCCA method to a feature-selection baseline, measured by the C-index metric. The dataset was authored by Yan Wang and last updated on April 13, 2026. It is hosted on figshare under a CC-BY-4.0 license.

Use Cases

• Benchmarking the MT-ADSCCA algorithm against established feature-selection methods based on the C-index performance metric.
• Comparing model performance outcomes for multi-task learning scenarios based on the summary data.
• Validating feature selection techniques in predictive modeling based on the reported C-index results.

Strengths

• File size is 5.5 KB, ensuring quick download and inspection.
• License is CC-BY-4.0, permitting open sharing and adaptation.
• Last update date is explicitly provided (2026-04 13).

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, authored by Yan Wang.

Collection Method

Likely contains results from computational experiments or model evaluations.

Time Range

null

Freshness

Last updated 2026-04-13 17:24:41.

Geography

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