通过对训练数据的学习，生成用于轨道故障判决的决策树(或者规则)。
The decision tree (or rules) used for rail deformation detection was generated by learning the train data.
你的分析重点是上下文表示方法和训练数据的特征对生成的类的质量的影响。
Your analysis will focus on the impact of context representation and the features of training data on the quality of generated clusters.
测试数据集的生成基本和训练数据集的生成方法相同，但其数据项可以直接从混合数据中选取而得到。
The testing dataset could be generate in the same way of training dataset, but its data records could be chosen directly from those mixed data.
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