Documentation

Disease Prediction using symptoms by Machine Learning

In this project we have used four different algorithms

• Decision Tree Classifier

• Random Forest

• K-Nearest Neighbour

• Naive Bayes Classifier

All the four Algorithms predict the disease as a result when the user enter the symtoms of diseases.

Our Dataset consist of training and testing file which contains 5000+ rows to predict the diseases.

All the used algorithm gives an accuracy of more than 90%.