# Rule-Based Classification

**Rule-Based Classifiers** use a set of **IF-THEN** rules to classify data.

## Structure
- **Rule**: `IF (Condition) THEN (Class)`
- *Example*:
  - `IF (Age = Youth) AND (Student = Yes) THEN (Buys_Computer = Yes)`

## Extracting Rules from Decision Trees
- We can easily turn a decision tree into rules.
- Each path from the **Root** to a **Leaf** becomes one rule.
- The conditions along the path become the `IF` part (joined by AND).
- The leaf node becomes the `THEN` part.

## Advantages
- Easy for humans to understand.
- Can be created directly or from other models (like trees).