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adaboost实现中的decision stump部分加权错误率计算并未参考课程讲义,造成必须要对U进行平抑。对加权错误率的计算不只要计算加权错误和,之后还要除以总权值之和: 这样,原程式中需删除“U /= np.sum(U)”。
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adaboost实现中的decision stump部分加权错误率计算并未参考课程讲义,造成必须要对U进行平抑。对加权错误率的计算不只要计算加权错误和,之后还要除以总权值之和:
![屏幕快照 2020-04-09 21 04 53](https://user-images.githubusercontent.com/1039073/78953127-cd40f400-7aa5-11ea-82a5-5ac0419bc67b.png)
这样,原程式中需删除“U /= np.sum(U)”。
The text was updated successfully, but these errors were encountered: