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文章 2021-10-27 来自：开发者社区

ML之SVM：SVM算法的简介、应用、经典案例之详细攻略（四）

SVM的应用——解决的问题类型1、SVM用作分类1.1、SVM与二分类二分类Binary Classification，解决输出是0还是1的问题。SVM解决的是二分类。1.2、SVM与多分类T1、线性核函数Linear Kernal：采用的策略是"one versus one" 。T2、线性支持向量分类器LinearSVC，采用的策略是&...

文章 2021-10-27 来自：开发者社区

ML之SVM：SVM算法的简介、应用、经典案例之详细攻略（二）

2、SVM的决策边界在分类问题中，很多时候有多个解，如下图左边所示，在理想的线性可分的情况下其决策平面会有多个。而SVM的基本模型是，在特征空间上找到最佳的分离超平面使得训练集上正负样本间隔最大，SVM算法计算出来的分界会保留对类别最大的间距，即有足够的余量，如下图右边所示。3、SV...

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更新时间 2024-04-12 09:40:40

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