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训练数据
由于这个比赛是很早之前的,很多新手那时都没有接触过,能否给出数据的链接,官网现在已经不能下载了。
小分享 & gen_submission_by_rule.py中line 22-25 怀疑冗余
非常感谢wepe的分享,开始以为是naive bayes. 不过仔细看了看,真的很适合我这样naive的新手,感觉作者真的太牛了,这么复杂的问题如此简单化,效果还这么好。
有几个小小的想法分享交流一下,
- 对文件夹的循环操作是不是会占用很多时间,估计是出于工作目录的整洁和代码简洁考虑。
- 不太明白gen_submission_by_rule.py中line 22-25 的目的,前面的判断不是已经完成了吗,是双重判断保险一点吗。。还是说作者本来另有深意的。
- 这个简单的规则没有考虑到当天买了后,又加入购物车的情况。不过也就只有8个。也有可能是之前加入购物车了,后来通过搜索就付款了,没有清空购物车。
- "model 训练机器学习模型(暂时不分享)”作者的这段话的意思基本不明白,机器学习模型怎么才能和这个算法结合起来呢。。
PS:同样期望可以和作者在kaggle: diabetic retinopathy 问题上交流交流。
再次感谢wepe的分享,祝paper早日写成并顺利通过review。
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