Quantitative Model Evaluation Results for an Augmented Dataset

A 9.5 KB Excel file published on figshare by Avinash Bansal on April 21, 2026. The dataset contains quantitative evaluation results for machine learning models trained on an augmented dataset, illustrating the impact of increased data diversity. The results are intended for direct comparison with a referenced table from a scientific publication.

Use Cases

• Benchmarking model performance based on quantitative evaluation metrics.
• Analyzing the impact of data diversity on model results as described in the dataset's purpose.
• Comparing model outcomes directly with a referenced scientific table (Table 6).

Strengths

• Dataset is small (9.5 KB), facilitating quick download and inspection.
• Published under a permissive CC-BY-4.0 license, allowing for reuse and modification.
• Explicitly designed for direct comparison with a specific published scientific result (Table 6).

Limitations

• Row count and column definitions are unknown, requiring manual inspection after download to understand the data structure.
• Description metadata is limited; actual data quality and completeness require verification.
• The dataset's scope is very small, suggesting it may contain only a limited set of evaluation metrics or results.

Provenance

Source

figshare

Collection Method

Likely generated as part of a machine learning research or evaluation process.

Time Range

Publication date is 2026-04-21; temporal coverage of the underlying data is unknown.

Freshness

Last updated 2026-04-21 17:44:22

Geography

Spatial coverage is not specified.