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bias-variance decomposition
释义
bias-variance decomposition
Encyclopedia
理学
学习理论
释
bias-variance decomposition
偏差-方差分解
解释算法泛化性能的一种重要工具。它试图对学习算法的期望泛化误差错误率拆解成偏差、方差及噪声三项。人们需要对模型的性能进行评估来比较和选择模型。一般可以通过将数据集划分成训练集(training set)和测试集(testing set),在训练集上进行训练,然后以测试集上的测试误差(testing error)来做为泛化误差的近似。
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