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sklearn-pipeline

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Binary income classification on the UCI Adult Census dataset. Compares Logistic Regression, Gradient Boosting, and Random Forest through a complete sklearn pipeline — 85.65% accuracy, ROC-AUC 0.91.

  • Updated Jun 22, 2026
  • Jupyter Notebook

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