Python sklearn.svm.SVC is a class that represents a Support Vector Machine (SVM) classifier in the scikit-learn library. SVM is a powerful algorithm for supervised learning that can be used for both classification and regression tasks. This class provides an implementation of the SVM algorithm, allowing users to train and use SVM models for classification tasks. The SVC class supports various kernel functions, such as linear, polynomial, and radial basis function (RBF), and provides options for tuning hyperparameters to optimize the model's performance. It also supports multi-class classification and can handle unbalanced datasets. Overall, the SVC class is a handy tool for implementing SVM classifiers in Python with the help of scikit-learn library.
Python SVC - 60 examples found. These are the top rated real world Python examples of sklearn.svm.SVC extracted from open source projects. You can rate examples to help us improve the quality of examples.