Graph Model Performance Benchmark with Accuracy and F1 Scores

9.5 KB of tabular data in XLS format containing generalization performance metrics for baseline and graph-based models. The dataset, uploaded by Rui Qi Ji, was last updated on April 17, 2026. It includes accuracy and macro-averaged F1 scores for models with varying connectivity, with results for two rats excluded from the final evaluation.

Use Cases

• Benchmarking graph model performance against a baseline based on accuracy and F1 scores.
• Analyzing the impact of varying graph connectivity on model generalization.
• Validating hyperparameter tuning strategies using the excluded validation set data.

Strengths

• Performance metrics are reported as mean ± standard deviation, providing a measure of variance.
• The dataset is small (9.5 KB), facilitating quick download and inspection.
• It is licensed under CC-BY-4.0, allowing for open sharing and reuse.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• The description is brief; data quality and field semantics require manual inspection after download.

Provenance

Source

Rui Qi Ji via figshare

Collection Method

Likely contains results from a machine learning experiment.

Time Range

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Freshness

Last updated 2026-04-17 17:36:37.

Geography

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