Shallow Supervised Learning Model Performance Results from Grid Search

A 5.5 KB Excel file uploaded by Marcus Araujo on April 22, 2026. It contains the best results from a grid search evaluating shallow supervised learning methods, likely focusing on performance metrics like F1-Score, average precision, and recall.

Use Cases

• Benchmarking shallow learning algorithms based on reported F1-Score, precision, and recall metrics.
• Comparing model selection strategies based on results from a grid search procedure.
• Analyzing the trade-offs between different evaluation metrics mentioned in the description.
• Reviewing methodological approaches for hyperparameter tuning in supervised learning.

Strengths

• File size is precisely 5.5 KB, indicating a compact and focused dataset.
• Released under a permissive CC-BY-4.0 license, allowing for broad reuse.
• Upload date is explicitly stated as 2026-04-22, providing a clear timestamp.

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

figshare

Collection Method

Results from a grid search procedure, as stated in the description.

Time Range

Upload date is 2026-04-22; temporal coverage of the underlying data is unknown.

Freshness

Last updated 2026-04-22 17:44:24; freshness should be verified.

Geography

Spatial coverage is not specified.