Advantages:

- Simple and highly intuitive interpretation
- Can handle both numeric and categorical data with little pre-processing
- Can learn a non-linear decision boundary

Disadvantages:

- Prone to overfitting

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- Categories: Classification & Regression Trees (CART)

Advantages:

- Simple and highly intuitive interpretation
- Can handle both numeric and categorical data with little pre-processing
- Can learn a non-linear decision boundary

Disadvantages:

- Prone to overfitting

Find out all the ways

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- Other Questions in Classification & Regression Trees (CART)