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hyperparameter-optimization

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This project predicts diabetes using Decision Trees and Random Forest algorithms. It optimizes models with hyperparameter tuning and evaluates performance through accuracy, sensitivity, specificity, and F1 score. Random Forest outperforms Decision Trees, effectively addressing class imbalance.

  • Updated Nov 23, 2024
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