---
license: mit
tags:
- healthcare
- machine-learning
- lightgbm
- stroke-prediction
- binary-classification
---

# Stroke Risk Predictor - LightGBM

## Overview

This model predicts stroke risk using healthcare-related patient features.

## Model Type

LightGBM Classifier

## Inputs

- Age
- Hypertension
- Heart Disease
- Average Glucose Level
- BMI
- Smoking Status
- Other health indicators

## Output

- 0 → No Stroke Risk
- 1 → Stroke Risk

## Performance

Accuracy: 91.10%

Recall: 28%

ROC-AUC: 78.74%

## Usage

```python
import joblib

model = joblib.load("lightgbm_model.joblib")

prediction = model.predict(data)
```

## Author

Mithun