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女主角还是需要认真挑的。人物关系她看得太专注了，没发现前面香荽已经停了下来，一头撞到她肩膀上，嗳哟一声，摸着鼻子使劲吸气。Jason Ritter为《Kevin (Probably) Saves the World》主演之一，他将扮演标题人物Kevin，一个好运耗尽的人，突然被上帝赋予征求世界的使命。Kevin是一名无能自私，走投无路的绝望混蛋。在他尝试自杀失败后， 回到家里和他那寡妇双胞胎妹妹和外甥女一起呆一段时间。不过却遇到了一名为上帝工作的斗士 Yvette，说自己的使命就是知道Kevin回到正义之路，让他明白自己生存在世上的使命。正面拼杀，伤亡是不可避免的，秦军的数量到底多一些，他不想自己的手下做态度无谓的牺牲。说话间，外面也已经摆好了饭菜，众人出去用饭。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.