阿里天池与Datawhale联合举办二手车价格预测优胜奖13/5000+方案代码总结
数据可以在官网下载 比赛网址:https://tianchi.aliyun.com/competition/entrance/231784/introduction?spm=5176.12281915.0.0.5cad1262J3Wujq
方案与文件介绍: README.pdf
阿里天池与Datawhale联合举办二手车价格预测比赛:优胜奖方案代码总结
阿里天池与Datawhale联合举办二手车价格预测优胜奖13/5000+方案代码总结
数据可以在官网下载 比赛网址:https://tianchi.aliyun.com/competition/entrance/231784/introduction?spm=5176.12281915.0.0.5cad1262J3Wujq
方案与文件介绍: README.pdf
Hello,看了您的文档里面有写“直接使用 lightgbm 帮我们去选择特征,一组组的放进去”具体做法是怎样呢?
例如:brand和price特征交叉之后这组新的特征加上原来的特征放进lightgbm训练过后,看feature_importance吗?
刚开始学习数据挖掘相关工作,期待您的回复
请问你的dg-gont效果能复现出来吗
你好,看了你的代码深受启发。但也发现了一个问题:神经网络模型的输入是512, 但是真实数据维度不是512吧? 期待你的回复
你好,请问代码当中使用 price 与分类特征作交叉时,由于测试集并没有 price ,那么仅在训练集上得出这一部分特征的意义时什么呢?
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