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Bookmark or Share- 三、支持向量机算法 (SVC，Support Vector Classification)（有监督学习）支持向量机Support Vector Machine，就是所谓的SVM，它指的是一系列的机器学习算法，根据解决问题的不同，分为SVC (分类)和SVR (回归)SVC，Support Vector Classification，其本质也是支持向量机，只不过是用于分类任务SVR，Support Vector Regression，其本质也是支持向量机，只不过 ...
- SVM、SVC、SVR三者的区别 - 知乎 - 知乎专栏支持向量机一直都是机器学习的重要工具，仅仅学会调包的同学一定经常遇到这些缩写svm、svr、svc。使用时经常会用到，但又不知道什么意思，仅仅学会调包调参数不是一个机器学习者的能力体现，但完全搞懂他们的数学公式、学会复现出算法也是没有必要的。
- Superior Vena Cava Syndrome - StatPearls - NCBI BookshelfSuperior vena cava (SVC) syndrome is a collection of clinical signs and symptoms resulting from either partial or complete obstruction of blood flow through the SVC. This obstruction is most commonly a result of thrombus formation or tumor infiltration of the vessel wall. The superior vena cava is formed by the junction of the left and right innominate (brachiocephalic) veins and is tasked ...
- 机器学习——python scikit-learn SVC分类_svc函数-CSDN博客SVC继承了父类BaseSVC SVC类主要方法： ★__init__() 主要参数： C: float参数 默认值为1.0 错误项的惩罚系数。C越大，即对分错样本的惩罚程度越大，因此在训练样本中准确率越高，但是泛化能力降低，也就是对测试数据的分类准确率降低。相反，减小C的话，容许训练样本中有一些误分类错误样本，泛化 ...
- 1.4. Support Vector Machines — scikit-learn 1.4.2 documentation1.4. Support Vector Machines ¶. Support vector machines (SVMs) are a set of supervised learning methods used for classification , regression and outliers detection. The advantages of support vector machines are: Effective in high dimensional spaces. Still effective in cases where number of dimensions is greater than the number of samples.
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