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cvd-ht-prediction
BrawnyCucumber/cvd-ht-prediction
cvd-ht-prediction is a machine learning model from BrawnyCucumber. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Machine learning models for cardiovascular disease and hypertension risk prediction.
Access
Public
Updated Jan 29, 2026
Repo size
179 MB
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0
Public
Repo makeup
Click a slice to open those files.
.pkl179 MB · 100%
At a glance
- License
- mit
- Access
- Public
- Created
- Jan 29, 2026
- Updated
- Jan 29, 2026
- SHA
- 113091af
Model card
From the Hugging Face model README
CVD & HT Risk Prediction Models
Machine learning models for cardiovascular disease and hypertension risk prediction.
Performance
| Model | Accuracy | F1-Score | Features |
|---|---|---|---|
| Random Forest CVD | 73-75% | 72-74% | 12 |
| Random Forest HT | 85-95% | 82-92% | 13 |
| XGBoost CVD | 73-75% | 72-74% | 12 |
| XGBoost HT | 85-95% | 82-92% | 13 |
Quick Start
import joblib
from huggingface_hub import hf_hub_download
# Download model
model_path = hf_hub_download(
repo_id="BrawnyCucumber/cvd-ht-prediction",
filename="random_forest_cvd.pkl"
)
# Load and use
model = joblib.load(model_path)
prediction = model.predict(X)
Models Included
random_forest_cvd.pkl- CVD predictionrandom_forest_ht.pkl- HT predictionxgboost_cvd.pkl- CVD predictionxgboost_ht.pkl- HT predictionfeature_selector_cvd.pkl- Feature selectionfeature_selector_ht.pkl- Feature selection
License
MIT
- License
- mit
- Created
- Jan 29, 2026
- Updated
- Jan 29, 2026