from sklearn.svm import SVC
时间: 2023-11-13 11:02:38 浏览: 44
SVC操作文档
SVC stands for Support Vector Classifier, which is a type of supervised learning algorithm used for classification tasks. It works by finding the hyperplane that best separates the classes in the feature space. The hyperplane is chosen such that it maximizes the margin between the two classes, which helps to reduce overfitting and improve generalization to new data. The SVC algorithm can handle both linearly separable and non-linearly separable data by using different types of kernels, such as linear, polynomial, and radial basis function (RBF) kernels.
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