Heart_Disease_Diagnosis

Implementation of various machine learning algorithms on the UCI heart disease diagnosis dataset over two categories:

  1. Binary classification
  2. Multi class classification
  • Highest accuracy of 90.16% achieved using Neural networks for binary classification
  • Highest accuracy of 70% achieved using Neural Networks for multi class classification