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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.这部剧灵感来自真实人物Stede Bonnet的冒险，他原本是个富绅，但却放弃了自己的特权生活，于18世纪初成为了海盗。-Only when one has experienced the test of life and death, or seen where will you go's joys and sorrows, and has the courage and confidence to live, can one say frankly: Grandma's!相反，杨长帆希望弟弟能好好成长，不要受他母亲继续影响，想到此，杨长帆拉起弟弟悉心解释道：我是傻子的时候，你欺负我，是人之常情，谁小时候不欺负笨孩子？再者说，你受你娘影响也太多，你娘恨我是真的，你恨我不一定是真的。　　由山岸圣太导演的第1集《曼谷篇》TBS播出。史密斯导演的第二集《台北篇》东京电视台播出。横尾初喜导演的第三集《胡志明篇》WOWOW播出。电视剧在泰国、曼谷、台湾、台北、越南、胡志明进行拍摄。NO! The longer the code, the more classifiers need to be trained, and the higher the calculation and storage overhead. On the other hand, for a limited number of classes, the number of possible combinations is limited, and when the code length exceeds a certain range, it loses its meaning.