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不定期バスの客 中居正広 佐藤仁美Magic Attack +20板栗笑道：累就对了。This is a more interesting part. I'm sorry that the text and the picture are sent separately, because the text is coded on the computer, but the computer browser is too slow to search the picture. Incidentally, I would like to say my notebook, it is really too! Slow down! Yes! I said I would replace it two years ago, but I still use it. As a notebook only used for code words, it runs too slowly.It is exactly the same as "Pepsi Nine Planets" in 2004.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.Please click "Read the original text" in the lower left corner.