Suppose you are training a machine learning model to predict whether or not a customer will churn $($cancel their subscription$)$ in the next month. You have a dataset of historical customer data, including features such as the customer's tenure, monthly usage, and support tickets opened. You are using a logistic regression model, and you are using binary cross$-$entropy $($BCE$)$ as your loss function.

Question $1\mathrm{.}1$ What BCE measures