This project aims to predict the different stages of liver cirrhosis. It is a supervised learning problem of multi-class classification.
Run this project in Google Colab.
The following algorithms have been explored in code:
- ZeroR Classifier
- K-Nearest Neighbors Classifier
- Naive Bayes Classifier
- Decision Tree Classifier
- Random Forest Classifier
- Multi Layer Perceptron Classifier
- Support Vector Classifier
- Logistic Regression Classifier
- AdaBoost Classifier
- Linear Discriminant Analysis Classifier
There are a total of 418 PBC cases in the dataset.
https://www.kaggle.com/datasets/fedesoriano/cirrhosis-prediction-dataset
- Fork the repository.
- Create a new branch for your feature using
git checkout -b feature/your-feature-name
. - Make your changes and commit them using
git commit -m "Add your commit message here"
. - Push your changes to your fork using
git push origin feature/your-feature-name
. - Open a pull request to the main repository.
This project was created by KaziRamisaRifa. A Machine Learning Course Project under the Supervision of Prof. Sifat Momen, Associate Professor, North South University