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overfitting and underfitting
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overfitting and underfitting
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理学
学习理论
释
overfitting and underfitting
过拟合与欠拟合
过拟合(overfitting)指的是,一个模型对训练数据进行过度的拟合,将数据本身的一些特点(比如噪声)也当作所有潜在样本的一般性质学到模型中。欠拟合(underfitting)和过拟合相反,如果一个模型无法很好的拟合训练数据,则称这个模型是欠拟合的。
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