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大神，想请教一下关于模型融合的问题
大神，请问Xgboost已经是集成学习了，如果训练效果不好的话，是不是可以调整分类器。还有必要和Logistic回归进行加权融合吗？那模型加权融合的意义在哪里呢
大神，请教一下你Data-Open-Analysis里ppt的一个问题
大神，你好！！！十分感谢您能够为我们这些初学者写出这么好的入门总结！！
在看你的ppt时，遇到了一些疑问，希望大神 能够 指导一下！
中的第二条你写到
很抱歉，我并没有看懂这一步操作是要干什么的！！是要构造一个新的特征吗？？可是怎么用均值，中位数，方差这样的数值来构造呢？？？
我认为应该只有字符型的特征可以通过one-hot encoding 来构造新的特征，而数值型的特征不能构造新的特征吧。不知道是不是这样的，还请大神帮忙指点一下！！！
关于代码的请教
请问是所有代码么？包括后面的模型融合
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