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OVR trains N classifiers by taking samples of one class as positive examples and samples of all other classes as counterexamples at a time. If only one classifier predicts a positive class during the test, the corresponding class mark will be taken as the final classification result. As shown in FIG. 3.4, if multiple classifiers predict as positive classes, the prediction confidence of each classifier is usually considered, and the category mark with the largest confidence is selected as the classification result.2008.8-20世纪少年：第一部 降临It is a sequence of events rather than a single event that is studied.The second is to ensure high-quality online live learning effect and experience, so the technical research and development requirements for online platforms will be higher and higher.Kaspersky DDoS Survey Report唉，眼下这混乱的局面，想要通知上将军和范亚父做防备已经来不及了。对了，今天是母亲节，不要忘记给妈妈打一个电话，买点礼物。