Ѣ ID3 ㅫ⊩ⱘއㄪᷥᅲ⦄
൞ૄ໋൞໋ૄܟฆံܟฆံܟᅋؑͬᅋؑͬฆံ
˄℺∝ᄺ䅵ㅫᴎᄺ䰶ˈ࣫℺∝ 430072 ˅
·फ୶ۤ၇Љ੦d,' സ֥ಾࢅІ೮ᄯԅۢസ֥ēדࢅІ೮ಾݯ୶༰ۤ෫ࢁԅᄷྑֺ֥ēඹШဈࣿюᨬ㽕ᨬ㽕
໒ԅdغζੜ؞ಬຣֺ֥ჾ௲ۤڴ ,' സ֥ԅݮ҄౨ēಬຣॴࢅІ೮ԅҗߙۤࢅІСಓԅಓюdೋིࠒדำၽಇద
݇䬂䆡݇䬂䆡,'ĢࢅІ೮ĢտЍ೮Ģ२Ģβॅ
᭛⤂ᷛ䆚ⷕ˖A
The realization of Decision Tree Based on ID3 Algorithm
ZHU Fu-bao, WANG Yu-hua, NIU Xiao-tai
(School of Computer, Wuhan University, Wuhan, Hubei, China 430072)
Abstract: Decision tree is an important method in machine learning and data mining, it used to form classifier
and predict model. ID3 algorithm is the kernel algorithm of making decision tree. In this paper, we realize the
generation of decision and the relative production based on the thorough and universal analysis of ID3 algorithm.
Experimental results show that our method is valid and efficient.
Keywords: ID3; Decision tree; Multi-branch tree; Vector; Traversal
ˊᓩ㿔ˊᓩ㿔ˊᓩ㿔
⼎՟ᄺдЁⶹ䆚㸼⼎ᔶᓣЏ㽕ৃҹߚЎϸ㉏ˈϔ㉏ҹ AQ15 >@Ўҷ㸼ˈҹѻ⫳ᓣ㾘߭Ўⶹ䆚㸼䖒ᔶᓣˈ
ϔ㉏ҹ ID3 >@Ўҷ㸼ˈҹއㄪᷥЎⶹ䆚㸼䖒ᔶᓣDŽࠡ㗙ⱘӬ⚍ᓣⶹ䆚㸼䖒䇁㿔↨䕗ЄᆠˈᑊϨ䗖ড়Ѣᅲ
ᮑ䖥Ԑ
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