Performance Metrics and Statistical Comparisons for MCI and AD Classification Models

Performance metrics and statistical comparisons for classification models targeting Mild Cognitive Impairment and Alzheimer's Disease. The 9.5 KB Excel file was authored by Minsoo Kim and last updated on May 21, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.

Use Cases

• Benchmarking new classification models against existing results based on the provided performance metrics.
• Conducting statistical significance tests between different model architectures for MCI/AD classification.
• Analyzing the trade-offs between different performance metrics (e.g., accuracy, sensitivity) for clinical model evaluation.

Strengths

• Dataset is small (9.5 KB), facilitating quick download and inspection.
• Explicitly licensed as CC-BY-4.0, allowing for broad reuse with attribution.
• Provides a focused collection of model performance metrics for a specific medical domain.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale analysis.
• 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 2026-05-21 17:41:07; freshness should be verified.