Question

A retail company wants to build a machine learning model that predicts whether a customer will churn. They have three years of historical customer records, and each record already includes a field indicating whether that customer eventually churned or stayed. The data science team wants to use this labeled outcome to train the model. Which type of machine learning approach does this scenario describe?

Accepted Answer

Supervised learning, because the training data includes labeled outcomes the model learns to predict

Answer

Unsupervised learning, because the model discovers hidden patterns without any predefined outcomes

Answer

Reinforcement learning, because the model learns through trial-and-error rewards over time

Answer

Generative AI, because the model creates new synthetic customer records