Model: This model predicts customer churn using logistic regression. It computes the probability of a customer churning as follows:
$$ p(y=1 \mid \mathbf{x}) = \frac{1}{1 + e^{-(\mathbf{w}^T \mathbf{x} + b)}} $$
Model: This model predicts customer churn using logistic regression. It computes the probability of a customer churning as follows: