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pcos-detection

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This project evaluates various machine learning models for diagnosing Polycystic Ovary Syndrome (PCOS) based on medical and clinical features. It compares models like Decision Tree, XGBoost, Random Forest, SVM, and Logistic Regression, analyzing their accuracy and execution time to determine the best-performing model for PCOS prediction.

  • Updated Mar 1, 2025
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