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This is also the longest interview question in the interview. Of course, it is also personal work experience and reference to netizens' blog posts. If there are any mistakes, please criticize and correct them.俞心蕾（徐熙媛 饰）原是一个生长在富裕家庭的上海姑娘，她有公主般的生活，才貌双全，有一个疼爱她的未婚夫尚东，她把一切事情都想得理所当然，但家中生意面临困境，她的景况也改变了。好了好了。《开心麻花剧场》第二季重装上阵，春晚小品红人引爆笑弹！凭借开心麻花舞台剧十年功力积累，以及近两年春晚小品收获持续好评，常远、艾伦、王宁等人继续在本剧中扮演这群热爱戏剧的屌丝男女，爆笑演绎他们的同居糗事。借开心麻花舞台剧十年功力积累，以及近两年春晚小品收获持续好评，常远、艾伦、王宁等人继续在本剧中扮演这群热爱戏剧的屌丝男女，爆笑演绎他们的同居糗事。优酷青春校园剧《任凭时光沸腾》2020年5月开拍并招募演员（详细组讯如图） 青春、校园、轻喜 出品方：句点影业 开机时间：2020年5月 制片人：李嘉嘉 导演：探花 代表作：《器灵》《仙侠客栈》《医妃难囚》 摄影：张海军 代表作：《男人帮》《广角之恋》《医妃难囚》Pppr=0x804850dIt 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.