Predictive model using Bayesian networks in R
Aim is to develop a predictive model using Bayesian networks for calculating probability of heart disease (presence or absence) using the values of attributes given.
Dataset used - heart disease data from UCI machine learning database https://archive.ics.uci.edu/ml/datasets/Heart+Disease
10 attributes chosen randomly to build and learn bayesian network using those 10 attributes. Some attributes are continuous and some discrete.
Used bnlearn package in R.