Decision Tree CART Algorithm Pros and Cons

The full name of CART is Classification and Regression Tree, which can do both classification algorithms and regression.

Pros and Cons of Decision Trees:

Pros:

1. It can generate rules that can be understood.

2. The amount of computation is relatively not very large.

3. Can handle continuous and kind fields.

4. Decision trees can clearly show which fields are more important

Disadvantages:

1. It is harder to predict continuous fields.

2. A lot of preprocessing is required for data that is chronological.

3. When there are too many categories, errors may add up faster.

4. When general algorithms categorize, they only categorize based on one field.