DiCE Counterfactual Explanations for Gallstone Status Prediction

Five counterfactual examples generated by the DiCE method for a specific patient instance. The data demonstrates how changes in CRP and Vitamin D levels influence a gallstone status prediction model. Authored by Prosenjit Das and last updated in June 2026, this 5.5 KB XLS file is shared under a CC-BY-4.0 license.

Use Cases

• Studying the sensitivity of a clinical prediction model to specific input features like CRP and Vitamin D.
• Demonstrating the application of the DiCE (Diverse Counterfactual Explanations) method for model interpretability.
• Developing educational material on how counterfactual explanations can reveal model decision boundaries.
• Auditing a gallstone status prediction model by examining feature influence on individual predictions.

Strengths

• Provides a concrete, downloadable example of DiCE-generated counterfactuals in an XLS format.
• Focuses on a specific, interpretable clinical prediction task (gallstone status).
• Released under a permissive CC-BY-4.0 license for reuse.

Limitations

• Extremely small scale at 5.5 KB, containing only five counterfactual examples for a single instance.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality and model context require manual inspection.

Provenance

Source

Prosenjit Das via figshare.

Collection Method

Generated using the DiCE (Diverse Counterfactual Explanations) method applied to a model called SLOA_CB.

Freshness

Last updated 2026-06-01 17:51:56; freshness should be verified.