Exercise

# Finding the order of variables

The forward stepwise variable selection procedure starts with an empty set of variables, and adds predictors one by one. In each step, the predictor that has the highest AUC in combination with the current variables is selected.

In this exercise you will learn to implement the forward stepwise variable selection procedure. To this end, you can use the `next_best`

function that has been implemented for you. It can be used as follows:

```
next_best(current_variables,candidate_variables,target,basetable)
```

where `current_variables`

is the list of variables that is already in the model and `candidate_variables`

the list of variables that can be added next.

Instructions

**100 XP**

- Use the function
`next_best`

to calculate the next best variable and assign it to`next_variable`

. - Update the
`current_variables`

list. - Update the
`candidate_variables`

list.