Exercise

Interpreting regressors locally

You are provided with a KNN regressor model that predicts health insurance costs based on features such as age, sex, BMI, number of children, and smoking status. Your task is to assess how each feature affects the prediction for a given sample.

The KNN model and the necessary packages are pre-loaded for you.

Instructions

100 XP

Create a LIME explainer for the KNN regressor model.
Generate an explanation for the model's prediction on the provided sample_data_point.
Display the influence of each feature on the prediction.

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Instructions

Exercise