Classification

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Work with your assigned partner to write a Python script to fit a logistic regression, K-nearest neighbors, and a decision tree classfier to this obesity data. There are a variety of different types of features/explanatory variables, make sure to do some exploratory analysis first. The goal is to predict the NObeyesdad.

Make sure to do the following:

• Feature engineering: create dummies!
• Cross validation
• Use the accuracy metrics: Precision, Recall, & F1

How do the different models compare to each other?

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1. GFU
2. CSIS
3. J. Walker Orr
4. CSIS 440