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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.小女娃身子柔软、面目娇嫩，小腰扭得十分熟练，小脑袋摇晃间，眼波跟着左右流转，手臂如同水蛇一般溜滑，小脚踩着密集鼓点不住颤动，跳得丝毫不输黛丝。The next article: Intelligent Construction Process Management of Large Marine Engineering Projects Based on BIM TechnologyBasically, the interpreter pattern is used to make various interpreters, such as interpreters for regular expressions, etc.且说眼前，高凡听了众人所说，也搛了一块肉闻了闻，道：味道是有些不对……小苞谷刚好吃完，放下碗，摸着肚子慢条斯理地说道：我撒了一泡尿倒在里面。小葱，派人去叫大伯回来。What is the difference between deliberate practice and our usual practice?