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Let's practice the functions of these building blocks through a small program. A person creates the feeling of traveling through various shapes. He walks through the city, walks through the beach, and then goes to the city. With the change of background, the color of the characters also changes. When the user clicks the "S" key, the person stops, and when the user clicks the "G" key, the program moves again. When clicking on the script, the character will talk to you.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.第二季中，他们将与日益恼怒的家人一起面对"新平常"，同时还要应对"虚拟好莱坞"世界，和自己越发脆弱的自尊心。/sob (crying)FX已宣布续订旗下喜剧《更美好的事》第二季。　　凡事都要刨根问底的悦子，凭借其独特的"校阅"方法，引发了一连串问题！她有时强硬地冲入难以入内的秘境，有时为了确认周刊杂志所追踪的事件真相而卧底取材，她横冲直撞，超越了"校阅"的工作范畴！