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# The data has features ID, Race, Age, Sex, Hour, IQ and Height with class variable Died . The aim is # to predict whether
# 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:::menuInstallPkgs() # 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
Write it in program r using the naivebyes method
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