MedDefender-MHAN: Comparison of Explainability Performance Against XAI Methods

A tabular dataset comparing the explainability performance of the MedDefender-MHAN model against other external Explainable AI (XAI) methods. The dataset is 5.5 KB in size, authored by Ali Alqazzaz, and was last updated on April 17, 2026. It is available in XLS format under a CC-BY-4.0 license.

Use Cases

• Benchmarking explainability methods based on the described performance comparison.
• Evaluating the MedDefender-MHAN model's interpretability against other XAI techniques.
• Informing model selection for medical AI tasks based on explainability metrics.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• Has a clear, permissive license (CC-BY-4.0) for reuse.
• Last update date is explicitly provided (2026-04-17).

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

Ali Alqazzaz via figshare

Collection Method

Likely contains results from a model comparison study.

Time Range

Publication date suggests data is current as of 2026.

Freshness

Last updated 2026-04-17 17:39:33; freshness should be verified.

Geography

Geographic coverage is not specified.