Follow the steps to generate your personal data set.

# Then apply at least two machine learning methods covered in the lectures.

# 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

# patient in the hospital will Died $($TRUE$)$ or not $($FALSE$).$

# r$\_$data$()$ function in wakefield package is used to the generate

# random data set.

$>$ install.packages$($wakefield$)$

$>$ library$($wakefield$)$

$>$ set.seed$(*******)$ # Plug your $7-$digits student ID in $*$s$.$

$>$ data $=$ r$\_$data$(500)$ # Generate a data set consisting of $500$ instances