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ML classification / Complete
MentalHealth CatBoost pipeline
CatBoost pipeline on self-reported questionnaire data with logistic baseline, SHAP and equity analysis.
CatBoostOptunaSHAPFairness
Problem
Handle a sensitive categorical classification task without turning it into a medical claim.
Approach
Native categorical CatBoost, stratified 5-fold validation, Optuna logloss, JSON/Markdown exports and gender/country analysis.
Evidence
Complete CLI pipeline.
GitHub Actions install-check.
Interpretability and bias analysis included in scope.
Limitations
ML modeling project, not a clinical tool or medical recommendation.