You are developing a machine learning model on Vertex AI that must satisfy regulatory interpretability requirements. To maximize both accuracy and interpretability, you plan to use a combination of model architectures and modeling techniques. How should you build the model?

Exam-Like

Use a convolutional neural network (CNN)-based deep learning model architecture, and use local interpretable model-agnostic explanations (LIME) for interpretability.

0.0%

Use a recurrent neural network (RNN)-based deep learning model architecture, and use integrated gradients for interpretability.

0.0%

Use a boosted decision tree-based model architecture, and use SHAP values for interpretability.

80.0%

Use a long short-term memory (LSTM)-based model architecture, and use local interpretable model-agnostic explanations (LIME) for interpretability.

20.0%

Google Professional Machine Learning Engineer

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You are developing a machine learning model on Vertex AI that must satisfy regulatory interpretability requirements. To maximize both accuracy and interpretability, you plan to use a combination of model architectures and modeling techniques. How should you build the model?