MOGT Model Performance Metrics: AUROC, AUPRC, and F1-Scores

9.9 KB of performance metrics for the best MOGT model on validation and hold-out test sets. The dataset, authored by Jiafang Li and last updated on 2026-05-29, contains AUROC, AUPRC, and F1-score values. It is shared under a CC-BY-4.0 license on figshare.

Use Cases

• Benchmarking the MOGT model's performance based on the reported AUROC, AUPRC, and F1-score values.
• Comparing validation and test set performance to assess model generalization based on the described metrics.
• Analyzing the trade-offs between different performance metrics (AUROC vs. AUPRC vs. F1) for a specific model.

Strengths

• Performance metrics are clearly defined as AUROC, AUPRC, and F1-score.
• Dataset is small (9.9 KB), ensuring quick download and inspection.
• License is explicitly stated as CC-BY-4.0, permitting reuse with attribution.

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

Collection Method

Likely generated from model evaluation experiments.

Freshness

Last updated 2026-05-29 18:00:09; freshness should be verified.