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JinNan

津南数字制造算法挑战赛 回归预测 整个过程大致流程: 1.清洗数据(取值类别唯一特征,取值类别最大占比>90%特征删除),处理异常值 2.处理时间特征,时段与时刻,t=(h3600+m60+s*60)/3600 3.扩展训练数据,类似“控制变量”,pd.diff()逐行相减(id转换int并排序) 4.lightgbm+xgboost+ridge(stacking)

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