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你好,请教个问题: 你提到: 统计该窗口前1/2/3/5/7/9/11/14天的各种非类目特征的sum和avg,统计item_id在最近14天的非聚划算支付件数最大值、最小值、标准差,统计其他类目id在最近14天的非聚划算支付件数的sum,avg,std
如果在某个窗口中,有特殊节假日,比如国庆,而国庆的销量特别高,比如: 窗口前14天是10月1号,而把10月1号的数据直接拿来做特征,会导致这个特征值很高, 请问如何处理这种情况呢,谢谢。
The text was updated successfully, but these errors were encountered:
取决于你预测的目标变量与节假日销量有没有相关性。你可以实验对比一下丢弃该特征前后的模型效果,如果加入该特征后效果变差,就丢弃吧
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你好,请教个问题:
你提到: 统计该窗口前1/2/3/5/7/9/11/14天的各种非类目特征的sum和avg,统计item_id在最近14天的非聚划算支付件数最大值、最小值、标准差,统计其他类目id在最近14天的非聚划算支付件数的sum,avg,std
如果在某个窗口中,有特殊节假日,比如国庆,而国庆的销量特别高,比如:
窗口前14天是10月1号,而把10月1号的数据直接拿来做特征,会导致这个特征值很高,
请问如何处理这种情况呢,谢谢。
The text was updated successfully, but these errors were encountered: