Exercise

# In-sample fit full model

It is coding time again, which means coming back to the exercise dataset `defaultData`

.

You now want to know how your model performs by calculating the accuracy. In order to do so, you first need a confusion matrix.

Take the `logitModelFull`

, first. The model is already specified and lives in your environment.

Instructions

**100 XP**

- Use
`predict()`

to receive a probability of each customer defaulting on their payment. - In order to construct the confusion matrix use the function
`confusion.matrix()`

from`SDMTools`

. Note that`SDMTools`

cannot be downloaded from CRAN anymore. So if you want to practice at your home computer you can install the package by using`remotes::install_version("SDMTools", "1.1-221")`

which will install the version of`SDMTools`

that is used at this course. - Choose a common threshold of 0.5.
- Calculate the accuracy using the confusion matrix.