Which machine learning model type should the Specialist use to accomplish this task?

Explanations:

Linear regression is used for predicting continuous outcomes, not for categorizing or classifying data into discrete groups. Churn prediction is a classification problem.

Classification is the appropriate model type for this task because the goal is to categorize customers into two groups: those likely to churn and those not likely to churn.

Clustering is an unsupervised learning technique used to group similar data points without predefined labels. In this scenario, the data is labeled, indicating a classification problem.

Reinforcement learning is used for decision-making problems where an agent learns to make choices based on rewards from its actions. This scenario involves prediction based on existing data labels, making classification the suitable approach.