Exercise

SHAP for explaining income levels

Practice using SHAP to analyze and visualize how each feature influences a trained model's predictions on a single sample from the income dataset, using a waterfall plot for deeper insight into feature contributions.

A trained KNN model is loaded for you. The dataset containing features is loaded in X.

Instructions 1/2

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Create a kernel explainer for the model using a kmeans representation of the dataset X with 10 centroids.
Generate shap_values for the first instance in X.

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Instructions 1/2

Exercise