Machine Learning Ablation Study Performance Metrics

A small tabular dataset containing generalization performance metrics from a machine learning ablation study. The data, published by Rui Qi Ji on figshare, includes accuracy and macro-averaged F1 scores, with results from two rats excluded from the final evaluation as they were used for validation. The dataset was last updated on April 17, 2026.

Use Cases

• Benchmarking model generalization based on reported accuracy and F1 scores
• Analyzing the impact of hyperparameter tuning based on the validation set methodology described
• Comparing ablation study results across different experimental conditions
• Validating statistical evaluation methods using the provided mean and standard deviation calculations

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• Provides specific performance metrics (accuracy and macro-averaged F1 score) for a defined task.
• Documents a clear validation methodology, noting which subjects were excluded from final evaluation.
• Released under a permissive CC-BY-4.0 license.

Limitations

• Row count and column definitions are unknown, requiring manual inspection after download.
• Description metadata is limited; actual data quality requires manual inspection after download.
• The dataset's scope is very small (5.5 KB), indicating limited sample size or feature set.

Provenance

Source

figshare

Collection Method

Likely results from a computational experiment or machine learning study.

Time Range

Temporal coverage is not specified in the provided metadata.

Freshness

Last updated 2026-04-17 17:36:38; freshness should be verified.

Geography

Spatial coverage is not specified in the provided metadata.