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Oluwagbenga/
Testsample

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Hepatitis Prediction Model

This repository contains a machine learning model trained to predict the class (live or die) of hepatitis patients based on various clinical features.

Model Details

The model was trained using the PyCaret library, and the best performing model was AdaBoost Classifier.

Files

best_model.pkl: The trained model file.
requirements.txt: List of required Python packages.
README.md: This file.

Usage

You can load and use the model for predictions using the following steps:

Install the required packages:

pip install -r requirements.txt

Load the model:

python

import joblib
model = joblib.load('best_model.pkl')

Make predictions on new data (assuming your data is in a pandas DataFrame named new_data):

predictions = model.predict(new_data)

Oluwagbenga/Testsample

Hepatitis Prediction Model

Model Details

Files

Usage

Oluwagbenga/
Testsample