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VC dimension
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VC維 (Vapnik–Chervonenkis dimension)

简介

在VC理論中,VC維是對一個可學習分類函數空間的能力的衡量。它定義為算法能「打散」的點集的勢的最大值。 直觀地,一個分類模型的能力與其複雜程度相關。例如,考慮一個高次多項式的分類模型:若函數值大於0則分類為正,反之則分類為負。高次多項式能夠「擺動」的範圍很大,所以能夠很好地擬合給定的點集。 维基百科
In Vapnik–Chervonenkis theory, the Vapnik–Chervonenkis (VC) dimension is a measure of the capacity of a set of functions that can be learned by a ...

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