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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.但他是大秦的上将军，不管国家如何，都要恪尽职守。I. Chinese citizens who have not reached the national legal retirement age at the end of the year when they sign up, have the qualifications for teachers stipulated in the Teachers Law and are willing to work as teachers.来自小镇的女子渴望成为舞者，她打扮成男子在一家经营不善的变装酒吧表演。龙王之女三生为解除父亲的封印，回到五百年前寻找降龙大师，意图通过杀死降龙大师来改变父亲被封印的命运，三生在穿越回时，正遇还未成为真正的降龙大师的修源与其搭档葫芦于莲花村捉妖，三生的从天而降，一段阴错阳差的故事拉开帷幕。Submarine main valve open