Model: The K-Nearest Neighbors (KNN) model predicts customer churn based on comparing the provided customer details to existing data. It calculates the Euclidean distance between the input data and every row in the dataset to find the 'k' closest instances, then predicts the output based on the most common value among these neighbors.