About: CN2 algorithm

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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 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.

Attributes	Values
rdf:type	software
rdfs:label	CN2 algorithm (en)
rdfs:comment	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 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. (en)
sameAs	CN2 algorithm
dbp:wikiPageUsesTemplate	dbt:Refimprove dbt:AI-stub
Subject	Machine learning algorithms
Link from a Wikipage to an external page	https://doi.org/10.1023%2FA%3A1022641700528
gold:hypernym	Algorithm
prov:wasDerivedFrom	http://en.wikipedia.org/wiki/CN2_algorithm?oldid=940541488&ns=0
Wikipage page ID	8908590 (xsd:integer)
page length (characters) of wiki page	2998 (xsd:nonNegativeInteger)
Wikipage revision ID	940541488 (xsd:integer)
Link from a Wikipage to another Wikipage	Algorithmic learning theory Machine learning algorithms Rule induction ID3 algorithm dbr:AQ_algorithm
has 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 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. (en)
foaf:isPrimaryTopicOf	http://en.wikipedia.org/wiki/CN2_algorithm
is Link from a Wikipage to another Wikipage of	CN2
is foaf:primaryTopic of	http://en.wikipedia.org/wiki/CN2_algorithm

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