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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.成者王侯败者贼，现在只能全力以赴了。几百年来，枪械的发展，就是在不断地优化爆炸，发射的这个过程。琪琪是在美国长大的泰裔女孩，优庭是在美国念书的留学生，二人一见钟情进入同居时代。可是，结婚毕竟要得到父母的同意，于是这一对接受西方教育的泰国青年男女回到泰国，一场误会之后，琪琪竟鬼使神差地成了优庭家的管家，但这仅仅是开始，他们为了取得传统、古板而又淳朴、善良的老人家的认可，为了摆脱暗恋优庭的坏女人“村中第一美女”莉达的纠缠，不得不展开了一场有欢笑也有泪水的爱情长跑。最后，当然是有情人终成眷属了。通常到这份上，皇上早就换人选了，但这次出奇的坚定。