实验方法是分析决策树算法中的多值偏向问题的传统方法，其缺点是需要具备该数据领域的专家知识。

Experiment is the traditional method for analysing multivalue BIOS of decision tree algorithm, but it has a fault that we must have the expertise of the specific field.

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提出了一种避免了多值偏向问题的决策树算法——AF算法；

Second, this paper proposes a new decision tree algorithm, AF algorithm, which avoids multivalue bios.

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多值偏向是决策树算法中普遍存在的问题，以往人们对于多值偏向问题的分析主要是基于实验观测的。

Variety bias exists in many decision tree algorithms, and in the past people analyzed this problem mainly based on experiments.

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