Google Professional Machine Learning Engineer
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Your company's business stakeholders need to understand the key factors driving customer churn to inform their strategy. You must build a customer churn prediction model that prioritizes straightforward interpretability of the results. Which ML framework and modeling technique should you choose to best explain which specific features influenced each prediction?
A
Build a TensorFlow deep neural network (DNN) model, and use SHAP values for feature importance analysis.
B
Build a PyTorch long short-term memory (LSTM) network, and use attention mechanisms for interpretability.
C
Build a logistic regression model in scikit-learn, and interpret the model's output coefficients to understand feature impact.
D
Build a linear regression model in scikit-learn, and interpret the model's standardized coefficients to understand feature impact.