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supervised learning 贝叶斯估计 决策树与信息熵 信息熵 H ( D ) − ∑ i 1 n p ( X x i ) l o g ( P ( X x i ) ) − ∑ p i l o g ( p i ) H(D)-\sum_{i1}^n p(Xx_i)log(P(Xx_i))-\sum p_ilog(p_i) H(D)−∑i1np(Xxi)log(P(Xxi))−∑pilog(pi),信…