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databricks-mlops

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XGBoost pipeline predicting >$50K income from the Adult Income dataset. Dual MLflow-tracked experiment tracks (1,500 feature combinations each) optimize F2-Score (recall-focused) and F1-Score (balanced) in parallel. F2: 0.94 recall / 0.48 precision. F1: 0.73 recall / 0.67 precision. Both reach ~0.91 AUC-ROC with minimal overfitting.

  • Updated Sep 29, 2026
  • Jupyter Notebook

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