🩺 Heart Disease Risk Classifier
Developed by Aarav (AI Founder)
📜 License
This project is licensed under the Apache License 2.0. This means you are free to use, modify, and distribute this model, even commercially, as long as you provide attribution to the original author (Aarav).
🚀 Model Description
This is a Random Forest model trained to predict heart disease risk with a focus on high-precision screening.
- Accuracy: 90.74%
- Reliable Cross-Val Mean: ~84.4%
- Model Type: Random Forest Classifier (n_estimators=300, max_depth=7)
- Dataset: UCI Cleveland Heart Disease (Standard Benchmark)
⚠️ Intended Use & Limitations
- Intended Use: Educational purposes, baseline research, and portfolio demonstration.
- Limitations: This is not a clinical diagnostic tool. It should not be used to make real-world medical decisions. Accuracy is based on historical data and may not reflect real-time patient diversity.