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bagging与boosting分别从什么角度降低过拟合? bagging降低方差,boosting降低方差 bagging降低variance。boosting降低bias来提升预测精度。
bagging与boosting分别从什么角度降低过拟合? bagging降低方差,boosting降低方差
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有一种经验说法认为boosting对过拟合有一定的稳健性,不太容易过拟合,泛化能力不错。这种稳健性不是源于boosting(boosting本身是会加剧overfit的),而是源于弱模型合成(加权平均)过程中的“投票”效果,而且,我们总是可以使用交叉验证,及时停止boosting,避免合成过多的模型
参考链接:https://zhuanlan.zhihu.com/p/517900957
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bagging与boosting分别从什么角度降低过拟合? bagging降低方差,boosting降低方差
bagging降低variance。boosting降低bias来提升预测精度。
The text was updated successfully, but these errors were encountered: