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The Structure Diagram of Template Method Based on the Example of Cooking in LifeThe obvious key difficulty is that you do not have past data to train your classifier. One way to alleviate this problem is to use migration learning, which allows you to reuse data that already exists in one domain and apply it to another domain.(1) Two vertical mast lights to replace article 23, paragraph 1 (a)汉王要是不册封，他就可以借口汉王苛待功臣，从而名正言顺地叛汉自立，他总是占理的。It is easy to see that OvR only needs to train N classifiers, while OvO needs to train N (N-1)/2 classifiers, so the storage overhead and test time overhead of OvO are usually larger than OvR. However, in training, each classifier of OVR uses all training samples, while each classifier of OVO only uses samples of two classes. Therefore, when there are many classes, the training time cost of OVO is usually smaller than that of OVR. As for the prediction performance, it depends on the specific data distribution, which is similar in most cases.