About: C4.5 algorithm

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C4.5 is an algorithm used to generate a decision tree developed by Ross Quinlan. C4.5 is an extension of Quinlan's earlier ID3 algorithm. The decision trees generated by C4.5 can be used for classification, and for this reason, C4.5 is often referred to as a statistical classifier. In 2011, authors of the Weka machine learning software described the C4.5 algorithm as "a landmark decision tree program that is probably the machine learning workhorse most widely used in practice to date".

Attributes	Values
rdf:type	software
rdfs:label	C4.5 algorithm (en)
rdfs:comment	C4.5 is an algorithm used to generate a decision tree developed by Ross Quinlan. C4.5 is an extension of Quinlan's earlier ID3 algorithm. The decision trees generated by C4.5 can be used for classification, and for this reason, C4.5 is often referred to as a statistical classifier. In 2011, authors of the Weka machine learning software described the C4.5 algorithm as "a landmark decision tree program that is probably the machine learning workhorse most widely used in practice to date". (en)
sameAs	C4.5 algorithm C4.5 algorithm
dbp:wikiPageUsesTemplate	dbt:More_footnotes
Subject	Articles with example pseudocode Classification algorithms Decision trees
Link from a Wikipage to an external page	http://www.rulequest.com/Personal/ http://timesleuth-rule.sourceforge.net http://www.rulequest.com/see5-info.html
gold:hypernym	Algorithm
prov:wasDerivedFrom	http://en.wikipedia.org/wiki/C4.5_algorithm?oldid=1070998146&ns=0
Wikipage page ID	1966814 (xsd:integer)
page length (characters) of wiki page	6134 (xsd:nonNegativeInteger)
Wikipage revision ID	1070998146 (xsd:integer)
Link from a Wikipage to another Wikipage	Ross Quinlan Weka (machine learning) Boosting (machine learning) Statistical classification Articles with example pseudocode Classification algorithms Decision trees Java (programming language) Winnow (algorithm) Decision tree Pseudocode Springer Science+Business Media Free software movement Partition of a set Data mining Entropy (information theory) ID3 algorithm Feature (machine learning) Information gain in decision trees Lecture Notes in Computer Science Recursion Recursion (computer science)
has abstract	C4.5 is an algorithm used to generate a decision tree developed by Ross Quinlan. C4.5 is an extension of Quinlan's earlier ID3 algorithm. The decision trees generated by C4.5 can be used for classification, and for this reason, C4.5 is often referred to as a statistical classifier. In 2011, authors of the Weka machine learning software described the C4.5 algorithm as "a landmark decision tree program that is probably the machine learning workhorse most widely used in practice to date". It became quite popular after ranking #1 in the Top 10 Algorithms in Data Mining pre-eminent paper published by Springer LNCS in 2008. (en)
foaf:isPrimaryTopicOf	http://en.wikipedia.org/wiki/C4.5_algorithm
is Wikipage redirect of	See5 algorithm C4.5 C5.0 C5.0 algorithm
is Link from a Wikipage to another Wikipage of	Logistic model tree Alternating decision tree C45 C5 Document classification Decision tree learning Contrast set learning List of algorithms ID3 algorithm Incremental decision tree Information fuzzy networks Information gain in decision trees J48 C4.5 C5.0 C5.0 algorithm
is foaf:primaryTopic of	http://en.wikipedia.org/wiki/C4.5_algorithm

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