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What is Alternative Classification Techniques Overview about?

This document discusses alternative techniques for building classification models, including rule-based classifiers. It describes how a rule-based classifier works using a set of "if-then" rules. For a rule-based classifier to work properly, its rules should be mutually exclusive so each record is covered by only one rule, and exhaustive so every possible combination of attributes has a corresponding rule. The document provides an example of a rule-based classifier for classifying vertebrates and discusses

Author

Tran Duy Quang

Language

EN