Zero-Inflated Beta Regression Model of F1-Score for Cravings

A zero-inflated beta-regression model with random intercepts analyzing F1-Score data related to cravings. The model was created by Corinna Leppin and is available under a CC-BY-4.0 license. It was last updated on May 14, 2026.

Use Cases

• Validate statistical modeling techniques for zero-inflated bounded data based on the described model structure.
• Benchmark performance of regression models on F1-score outcomes related to cravings.
• Infer relationships between predictors and craving-related metrics using the provided model parameters.

Strengths

• Model specification is explicitly described as a zero-inflated beta-regression with random intercepts.
• The dataset is small (5.5 KB), facilitating quick download and inspection.
• It is shared under a permissive CC-BY-4.0 license for reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset's scope is limited to a single statistical model output.

Provenance

Source

Corinna Leppin via figshare

Freshness

Last updated 2026-05-14 17:33:20; freshness should be verified.