Can you summarize which naivebyes, knn and logistic regress methods are the best and why? and write your mail adress

# The data has features ID, Race, Age, Sex, Hour, IQ and Height with class variable Died. The aim is #to predict whether or not the given patient in the hospital will Die (TRUE) or not (FALSE). You may # or may not use all of the features in your models. > utils:::menulnstallPkgs() # A window will open. Select Wakefield . > library("wakefield") > set.seed(1337016) *'s. > data = r_data(500) # You generate a data set consisting of 500 instances