Cross-Session Experiment Model Selection and Validation Performance

9.0 KB of tabular data from figshare, authored by Matthew Herbert Ning and last updated on April 30, 2026. The dataset likely contains performance metrics for model selection and validation steps across two experiments, with 95% confidence intervals indicated.

Use Cases

• Compare model selection versus validation performance based on the described experimental rows.
• Analyze confidence intervals for performance metrics in cross-session experiments.
• Benchmark results from MEP and LMFP Ratios experiments as mentioned in the description.

Strengths

• Data includes 95% confidence intervals for reported metrics.
• Explicitly distinguishes between model selection and validation steps for two separate experiments.
• Released under a permissive CC-BY-4.0 license.

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, author Matthew Herbert Ning.

Collection Method

Likely results from a computational or experimental study.

Time Range

Publication date suggests data current as of 2026.

Freshness

Last updated 2026-04-30 17:31:40; freshness should be verified.

Geography

Geographic scope is not specified.