---
language: en
license: apache-2.0
tags:
- tabular-classification
- medical
- heart-disease
metrics:
- accuracy
---

# 🩺 Heart Disease Risk Classifier
**Developed by Aarav (AI and ML Learner)**
Built in 2025 while learning classical ML.
Focus: correct pipeline, honest metrics, medical screening context.
BASELINE-MODEL

### 📜 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.