Disease-Prediction-System

This is a disease prediction system that predicts various diseases based on symptoms.

Output

Features

1. The ML models for prediction are decision tree, Random forest, and Gradient Boosting.
2. The accuracy from the model is 81%, 93%, and 94% on the training set for the 3 models (Decision tree, Random forest, Gradient Boost) respectively.

Libraries Used

1. sklearn
2. streamlit
3. PyYAML
4. seaborn
5. pandas
6. numpy
7. joblib
8. matplotlib

Dataset

https://www.kaggle.com/datasets/kaushil268/disease-prediction-using-machine-learning/data