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Heart_Disease_Cleveland
handecarkci/Heart_Disease_Cleveland
Heart_Disease_Cleveland is a machine learning model from handecarkci. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
title: Heart Disease Predictor emoji: ❤️ colorFrom: red colorTo: pink sdk: streamlit sdkversion: "1.32.2" appfile: app.py pinned: false
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Updated Jun 1, 2025
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.pkl756 KB · 100%
At a glance
- Access
- Public
- Created
- Jun 1, 2025
- Updated
- Jun 1, 2025
- SHA
- 4cde1b5f
Model card
From the Hugging Face model README
config.yaml
title: Heart Disease Predictor emoji: ❤️ colorFrom: red colorTo: pink sdk: streamlit sdk_version: "1.32.2" app_file: app.py pinned: false
tags:
- heart-disease
- classification
- scikit-learn
- healthcare
- sklearn
❤️ Heart Disease Risk Classifier
This model predicts the risk of heart disease based on 13 clinical features such as age, cholesterol, chest pain type, and more.
This model was trained using the Kaggle - Heart Disease Cleveland UCI Dataset.
🧠 Model Info
- Algorithm: RandomForestClassifier
- Framework: scikit-learn
- Preprocessing: StandardScaler
- Target: Binary classification (0 = No disease, 1 = Disease)
📥 Input Example (sample_input.json)
{
"age": 65,
"sex": 1,
"cp": 1,
"trestbps": 150,
"chol": 300,
"fbs": 1,
"restecg": 1,
"thalach": 120,
"exang": 1,
"oldpeak": 3.5,
"slope": 2,
"ca": 2,
"thal": 2
}
📤 Output
0 → Low risk
1 → High risk
📁 Files
heart_model.pkl — Trained model
scaler.pkl — StandardScaler used in training
sample_input.json — Example input JSON
📝 License
MIT
- Created
- Jun 1, 2025
- Updated
- Jun 1, 2025