cn2 6th sem ppts

Abstract

The CN2 induction algorithm is a learning algorithm for rule induction.It is designed to work even when the training data is imperfect. It is based on ideas from the AQ algorithm and the ID3 algorithm. As a consequence it creates a rule set like that created by AQ but is able to handle noisy data like ID3.
Description of algorithm
The algorithm must be given a set of examples, TrainingSet, which have already been classified in order to generate a list of classification rules. A set of conditions, SimpleConditio ....etc

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