Model Performance Comparison on Balanced and Oversampled Datasets

Md. Shahidul Islam authored a dataset comparing model performance on balanced and oversampled datasets. The dataset is a 5.5 KB Excel file, last updated on June 2, 2026, and is shared under a CC-BY-4.0 license on figshare.

Use Cases

• Benchmarking classification models based on performance metrics for balanced versus oversampled data.
• Evaluating the effectiveness of oversampling techniques for handling class imbalance.
• Comparing the stability of model performance across different dataset treatments.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• Has a clear, permissive license (CC-BY-4.0) for reuse.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

Md. Shahidul Islam

Freshness

Last updated 2026-06-02 17:23:45; freshness should be verified.