--- For a given dataset create 4 machine learning models in R --
Dataset : "Statlog (Heart) Data Set" from [login to view URL]
4 different algorithms :
1. Multilayer Perceptron Network
2. The Naïve Bayes classifier
3. Classification and Regression Trees (CART).
4. k-Nearest Neighbors (kNN).
A. For every algorithm use 10-fold crossvalidation to estimate accuracy.
B. Visualize Dataset with Multivariate Plots and look at the interactions between the variables.
C. Write a simple text with your comments ( your conclusions, not theory) in english for every algorithm in a txt file.
D. Two or three days project