The CN2 algorithm is a rule-based learning algorithm used in machine learning and data mining for creating classification rules from a given set of training examples. It was developed by Peter Clark and Richard Niblett in the 1980s. The algorithm is particularly notable for its efficiency in generating comprehensible rules that can be easily interpreted by humans. ### Key Characteristics of the CN2 Algorithm: 1. **Rule Induction**: CN2 constructs if-then rules from the data.
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