SO
Soumyapro/Parkinson-Disease-Prediction
This project predicts Parkinson's disease using machine learning models.
Parkinson's Disease Prediction
Overview
This project predicts Parkinson's disease using machine learning models.
Table of Contents
Installation
To get started, clone the repository and install the required dependencies.
Models
- Logistic Regression: A basic linear model used for binary classification.
- XGBoost: An ensemble method known for its performance and efficiency in classification tasks. It provided the best results for this project.
- Support Vector Classifier (SVC): A powerful classifier that works well for both linear and non-linear problems.
Among the models tested, XGBoost yielded the best results in terms of classification metrics.
Clone the Repository
git clone https://github.com/Soumyapro/parkinsons-disease-prediction.git
cd parkinsons-disease-prediction