Performance Comparison on O'Neil Dataset Across Three Transfer Learning Scenarios

A performance comparison using the Pearson correlation coefficient on the O'Neil dataset across three transfer learning scenarios. The dataset is a 5.5 KB Excel file authored by Mohammadamin Moragheb and last updated on May 8, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.

Use Cases

• Benchmarking transfer learning model performance based on reported Pearson correlation coefficients.
• Comparing the efficacy of different transfer learning scenarios described in the dataset.
• Validating new transfer learning approaches against the results for the O'Neil dataset.

Strengths

• Dataset is small (5.5 KB), enabling quick download and inspection.
• Has a clear, permissive license (CC-BY-4.0) for reuse.
• Provides a specific, quantitative performance metric (Pearson correlation coefficient).

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

Freshness

Last updated 2026-05-08 17:49:36; freshness should be verified.