cardioML

2026 · ML pipeline · Python

Re: cardioML
Date: 2026
Discipline: ML pipeline · Python
Stack: Python · Optuna · MLflow · SHAP · SMOTE
Source: github.com/AlexSouzaDev/cardioML

Reproducible heart-disease classification benchmarking 5 classifiers with Optuna tuning, MLflow tracking, and SHAP explainability. Reaches 0.93 AUC-ROC with SMOTE applied correctly inside the training fold.

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