You can either filter the records, or sort them to obtain the outliers you would like to review or that you must check.

您可以过滤记录，也可以对它们进行排序，从而获得想要查看或必须检查的离群值。

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In the stage I, called as data preprocessing, the support vector machines for regression (SVMR) approach is used to filter out the outliers in the training data set.

第一阶段称为所谓的资料预先处理，即使用支援向量回归来找出训练资料集中的离异点并删除之。

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If the data set contains a fair amount of outliers, it's important to either use modeling algorithm robust against outliers or filter the outliers out.

如果一个数据集含有相当数量的异常值，那么，使用一种具有异常值鲁棒性的建模算法或直接过滤掉异常值是非常重要的。

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