1. What is churn prediction.

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Accepted Answer

Churn prediction is the process of identifying customers who are likely to stop using a service or product.

Churn prediction uses historical data to build models that can forecast which customers are at risk of leaving.
Common techniques for churn prediction include machine learning algorithms like logistic regression, decision trees, and neural networks.
Businesses use churn prediction to proactively retain customers by offering targeted promotions or incentives.
Examples of industries that use churn prediction include telecommunications, subscription services, and e-commerce.
Accuracy and precision are important metrics for evaluating the effectiveness of churn prediction models.

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