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feat: implement Heart Disease Detection model (Issue #211) #215

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feat: implement Heart Disease Detection model (Issue #211) #215

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@gamzeozgul gamzeozgul commented Jul 13, 2025

This PR implements a Heart Disease Detection model to address Issue #211.

Implementation

  • Project 011: Heart Disease Detection using Random Forest and KNN
  • Compares Random Forest Classifier vs K-Nearest Neighbors
  • Includes 5-fold cross-validation for robust evaluation
  • Generates synthetic heart disease dataset with 13 medical features
  • Provides feature importance analysis

Results

  • KNN achieved 99% accuracy
  • Random Forest achieved 98% accuracy
  • Cross-validation confirms model stability
  • Most important features: cholesterol, ca, thal, exercise_angina

Files Added

  • 011/heart_disease_detection.py - Main implementation
  • 011/README.md - Project documentation

Fixes #211

@gamzeozgul
feat: implement Heart Disease Detection model using Random Forest and…
a85ccfa 
… KNN

- Add project 011 addressing Issue gimseng#211
- Implement Random Forest Classifier and KNN algorithms
- Compare model performance using accuracy and cross-validation
- Include feature importance analysis
- Generate synthetic heart disease dataset with 13 medical features
- Provide comprehensive model evaluation and comparison

Fixes gimseng#211
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Heart Disease Detection Model

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