Model Performance Accuracies on Training, Validation, and Test Sets

Mean accuracies for a machine learning model across training, validation, and test datasets. The dataset was authored by Kristina Kobrock and last updated on May 26, 2026. It is a small 5.5 KB XLS file available under a CC-BY-4.0 license.

Use Cases

• Benchmarking model generalization based on the reported validation and test accuracies.
• Analyzing potential overfitting by comparing training accuracy to validation accuracy.
• Reproducing or verifying model evaluation results mentioned in the description.

Strengths

• Data is licensed under the permissive CC-BY-4.0 license.
• File size is 5.5 KB, making it quick to download and inspect.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The description metadata is limited to a single sentence.

Provenance

Source

figshare

Freshness

Last updated 2026-05-26 17:46:42; freshness should be verified.