Machine Learning Chapter 10. Learning Sets of Rules Tom M
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3 Sequential Covering Algorithm SEQUENTIAL- COVERING (Target attribute; Attributes; Examples; Threshold) Learned rules {} Rule LEARN-ONE- RULE(Target_attribute, Attributes, Examples) while PERFORMANCE (Rule, Examples) > Threshold, do –Learned_rules Learned_rules + Rule –Examples Examples – {examples correctly classified by Rule } –Rule LEARN-ONE- RULE ( Target_attribute, Attributes, Examples ) –Learned_rules sort Learned_rules accord to PERFORMANCE over Examples –return Learned_rules
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