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Answers for “为什么在建立模型之前检测异常值很重要?”

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A model attempts to fit the overall trend of the data. When an outlier is present, the fitting algorithm tries to minimize the error across all points, including the extreme one.

Conditions: The data can be represented as a two-dimensional scatter plot.; The model attempts to fit the overall trend.; There exist observations clearly distant from the main cluster.