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README.md
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### 🚀 Model Description
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This is a Random Forest model trained to predict heart disease risk with a focus on high-precision screening.
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- **Accuracy:** 90.74%
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- **Model Type:** Random Forest Classifier (n_estimators=300, max_depth=7)
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- **Dataset:** UCI Cleveland Heart Disease (Standard Benchmark)
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### 🚀 Model Description
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This is a Random Forest model trained to predict heart disease risk with a focus on high-precision screening.
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- **Accuracy:** 90.74%
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- **Reliable Cross-Val Mean:** ~84.4%
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- **Model Type:** Random Forest Classifier (n_estimators=300, max_depth=7)
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- **Dataset:** UCI Cleveland Heart Disease (Standard Benchmark)
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