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OvO pairs the N classes in pairs to generate N (N-1)/2 binary classification tasks. For example, OvO will train a classifier to distinguish classes Ci and Cj. The classifier takes the Ci class sample in D as a positive example and the Cj class sample as a counterexample. In the testing phase, the new samples will be submitted to all classifiers at the same time, so we will get N (N-1)/2 classification results, and the final results can be generated by voting: that is, the category that is predicted most is taken as the final classification result. Figure 3.4 shows a schematic diagram.由岛崎遥香主演多次被已婚男骗而发生婚外情的前园小春,剧情为主角带着重新开始的想法回到可以一夫多妻的故乡,等待她的却是成为龙之介的第3位妻子前提下的全新恋爱！A3.1. 5 Thoracic examination.When life is predicted to enter the countdown, it means that you constantly lose your ability to make decisions about yourself in the process. Your parents and children surround you and make decisions for you. Because you may not be able to speak, you will be cut through the trachea and connected to the ventilator. It may be very painful. The passage of life does not occur at the last moment, but begins when you learn of the incurable disease.The new BMW 3 Series adopts hydraulic bushings with higher cost but better shock absorption effect at the connection points between most suspension and key parts. For models at this price, there is nothing wrong with using hydraulic bushings.Data Poisoning Attack: This involves inputting antagonistic training data into the classifier. The most common type of attack we observe is model skew. Attackers pollute training data in this way, making classifiers tilt to their preferences when classifying good data and bad data. The second attack we have observed in practice is feedback weaponization, which attempts to abuse the feedback mechanism to manipulate the system to misclassify good content as abuse (e.g. Competitor's content or part of retaliatory attacks).