A Novel Comparison of Neural Network and Decision Tree as Classifiers using R

Machine Learning tools are currently a hot one among the analysis tools and there are many tools in that tool kit for tasks like classification. So, it is natural to compare them for efficiency to find a suitable one for a particular problem. This is a novel comparison of neural network and decision tree in that this research work has built a decision tree, prune it based on best cp, build two neural networks-one by general method and the other one using the variables in the pruned tree. The dataset used for classification is the heart disease dataset and this research uses R for building the tools. Then the Precision, Recall, Accuracy and F ration of all three models are obtained and compared.