AWS Certified AI Practitioner (AIF-C01) — Question 205

A company is developing an ML model to predict customer churn.

Which evaluation metric will assess the model's performance on a binary classification task such as predicting churn?

Answer options

• A. F1 score
• B. Mean squared error (MSE)
• C. R-squared
• D. Time used to train the model

Correct answer: A

Explanation

The F1 score is a suitable evaluation metric for binary classification tasks as it considers both precision and recall, making it ideal for assessing the trade-off between true positives and false positives. Mean squared error (MSE) and R-squared are more relevant for regression tasks, while the time taken to train the model does not reflect its performance in predicting outcomes.