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Considering N categories C1, C2 …, CN, the basic idea of multi-classification learning is "disassembly method", that is, multi-classification tasks are disassembled into several two-classification tasks to solve. Specifically, the problem is split first, and then a classifier is trained for each split second classification task. During the test, the prediction results of these classifiers are integrated to obtain the final multi-classification results. The key here is how to split multiple classification tasks and how to integrate multiple classifiers.　　一天，呼毕泰父亲的老战友沙舟来看望呼毕泰，于萍误认Self-imported SFCThe first step to prevent DDOS is to have a backup website or at least a temporary home page. In case the production server goes offline, it can immediately switch to the backup website, so there is no way out.Public TreeNode getParent () {In fact, we can also modify the "default policy" of the specified chain. Yes, it is the default policy marked in the following figure.