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indonesia-heart-disease-model
isharane/indonesia-heart-disease-model
indonesia-heart-disease-model is a machine learning model from isharane. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This repository contains five different machine learning models trained to predict heart attack risks based on an Indonesian dataset. The models are evaluated and compared in terms of accuracy and generalization perfo…
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Updated Aug 7, 2025
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.pkl6.9 MB · 100%
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- Access
- Public
- Created
- Aug 7, 2025
- Updated
- Aug 7, 2025
- SHA
- c5f33d6b
Model card
From the Hugging Face model README
Heart Attack Prediction in Indonesia
This repository contains five different machine learning models trained to predict heart attack risks based on an Indonesian dataset. The models are evaluated and compared in terms of accuracy and generalization performance.
📊 Models Included
- Logistic Regression (
model_logistic.pkl) - Random Forest Classifier (GridSearch-tuned) (
model_random_forest.pkl) - Decision Tree Classifier (GridSearch-tuned) (
model_decision_tree.pkl) - Bagging Classifier (with best Decision Tree) (
model_bagging.pkl) - XGBoost Classifier (GridSearch-tuned) (
model_xgboost.pkl)
📁 Files
- Trained models in
.pklformat README.md(this file)
⚙️ Libraries Used
- Scikit-learn
- XGBoost
- NumPy
- Pandas
- Matplotlib / Seaborn
🧠 Author
Isha Rane – [https://www.linkedin.com/in/isha-rane-a19274167]
Dataset:
https://www.kaggle.com/datasets/ankushpanday2/heart-attack-prediction-in-indonesia
This project is part of a broader effort to explore predictive healthcare solutions using real-world datasets.
- Created
- Aug 7, 2025
- Updated
- Aug 7, 2025