please use google collab python, thank you!

You built an extremely randomized trees model that predicts if a consumer will default on their credit card debt.

Then you tested the model on a random sample of credit card consumers.

Consider the confusion matrix given below.

What is the no information rate for the test data?

Enter the no information rate as a percentage with two decimal places.

For instance, if the no information rate is $60\mathrm{.}752\%,$ enter it as $60\mathrm{.}75$ without the percent sign.

Actual

Prediction defaulted not$\_$defaulted

defaulted $15333$

not$\_$defaulted $8231$