Naive Bayes classifiers often break down when the size of the training examples per class are not balanced or when the data is not independent enough.

当各类的训练示例的大小不平衡，或者数据的独立性不符合要求时，Naive Bayes分类器会出现故障。

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Many algorithms are used to create supervised learners, the most common being neural networks, Support Vector Machines (SVMs), and Naive Bayes classifiers.

创建监管学习程序需要使用许多算法，最常见的包括神经网络、SupportVectorMachines (SVMs)和Naive Bayes分类程序。

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Many algorithms are used to create supervised learners, the most common being neural networks, Support Vector Machines (SVMs), and Naive Bayes classifiers.

创建监管学习程序需要使用许多算法，最常见的包括神经网络、SupportVectorMachines (SVMs)和Naive Bayes分类程序。

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