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Considering N categories C1, C2 …, CN, the basic idea of multi-classification learning is "disassembly method", that is, multi-classification tasks are disassembled into several two-classification tasks to solve. Specifically, the problem is split first, and then a classifier is trained for each split second classification task. During the test, the prediction results of these classifiers are integrated to obtain the final multi-classification results. The key here is how to split multiple classification tasks and how to integrate multiple classifiers.丢下他就往红椒这边来。不过，往后我就能帮你了。跟着张槐又过来了，见这对兄弟还在说笑，也没歇息，笑道：明天要早起，咋还有闲心扯这些？板栗跟葫芦急忙让他坐。9-13 Use OrderedDict: In Exercise 6-4, you used a standard dictionary to represent the vocabulary. Please use the OrderedDict class to override this program and make sure that the order of output is the same as the order in which you add key-value pairs to the dictionary. ?　　OZ也是个微型的小社会，举凡美国社会常见的力量，如意大利帮、中国帮、爱尔兰帮、穆斯林、同性恋 、新纳粹等等，在其中都有体现。虽是监狱题材的集大成者，却又远远不止是监狱。在OZ，没有主角，没有简单的善恶存在。谁是邪恶的，谁是英雄，无从简单的一概而论，每个人都在做出从他的角度和立场，最理所当然的选择。但也少了磨砺，所以曹氏担心的很。