Quantitative Threshold Optimization Data Based on Sensitivity-Predictability Trade-off

Khanh Giang Le published a dataset on figshare in April 2026 titled 'Quantitative threshold optimization based on sensitivity–predictability trade-off.' The dataset is a 5.5 KB Excel file (XLS) available under a CC-BY-4.0 license. The specific row count and column details are not provided in the metadata.

Use Cases

• Optimizing classification thresholds for binary outcomes based on the described sensitivity-predictability trade-off.
• Benchmarking different threshold selection methods using the provided quantitative framework.
• Training or validating machine learning models where decision thresholds are a critical tuning parameter.

Strengths

• Dataset is openly available under a permissive CC-BY-4.0 license.
• File size is small (5.5 KB), facilitating quick download and inspection.

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, author Khanh Giang Le

Collection Method

Method of data gathering is not specified in the provided metadata.

Time Range

Temporal coverage is not specified.

Freshness

Last updated 2026-04-28 17:48:49; freshness should be verified.

Geography

Spatial coverage is not specified.