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moneyDboat authored Sep 26, 2018
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# 2018“达观杯”文本智能处理挑战赛
## Top 10 “万里阳光号”解决方案
更详细的比赛经验分享见知乎专栏文章https://zhuanlan.zhihu.com/p/45391378
比赛详情见 [达观杯文本智能处理挑战赛](http://www.dcjingsai.com/common/cmpt/%E2%80%9C%E8%BE%BE%E8%A7%82%E6%9D%AF%E2%80%9D%E6%96%87%E6%9C%AC%E6%99%BA%E8%83%BD%E5%A4%84%E7%90%86%E6%8C%91%E6%88%98%E8%B5%9B_%E7%AB%9E%E8%B5%9B%E4%BF%A1%E6%81%AF.html)
最终排名见 [排行榜](
http://www.dcjingsai.com/common/cmpt/%E2%80%9C%E8%BE%BE%E8%A7%82%E6%9D%AF%E2%80%9D%E6%96%87%E6%9C%AC%E6%99%BA%E8%83%BD%E5%A4%84%E7%90%86%E6%8C%91%E6%88%98%E8%B5%9B_%E6%8E%92%E8%A1%8C%E6%A6%9C.html)
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运行ensemble.py得到融合模型在验证集上的f1值,根据f1值选取参与融合的模型。

### 生成提交csv
将上一步模型融合选取的模型在测试集上生成预测概率结果,进行等权重相加,将概率最大的类别作为预测类别生成提交csv,代码见result/ensemble.py。
将上一步模型融合选取的模型在测试集上生成预测概率结果,进行等权重相加,将概率最大的类别作为预测类别生成提交csv,代码见result/ensemble.py。

更详细的比赛经验分享见知乎专栏文章https://zhuanlan.zhihu.com/p/45391378

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