Decision list
term_id: decision_list
Category: basic_concepts
Definition
A decision list is a type of machine learning model that represents knowledge as a sequence of conditional rules. Each rule consists of a condition and a predicted class label. When classifying a new instance, the model evaluates the rules in order and returns the label associated with the first rule whose condition is satisfied. This structure offers high interpretability compared to complex neural networks, making it useful for domains requiring transparent decision-making processes.
Summary
An interpretable classifier consisting of an ordered list of rules where the first matching rule determines the output.
Key Concepts
- Ordered rules
- Interpretability
- First-match semantics
- Rule-based classification
Use Cases
- Medical diagnosis support
- Credit scoring explanations
- Legal compliance checks