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Update kaggle-house-price.md #1324

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4 changes: 2 additions & 2 deletions chapter_multilayer-perceptrons/kaggle-house-price.md
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Expand Up @@ -479,7 +479,7 @@ def train(net, train_features, train_labels, test_features, test_labels,
## $K$折交叉验证

本书在讨论模型选择的部分（ :numref:`sec_model_selection`）
中介绍了[**K折交叉验证**]，
中介绍了[**$K$ 折交叉验证**]，
它有助于模型选择和超参数调整。
我们首先需要定义一个函数，在$K$折交叉验证过程中返回第$i$折的数据。
具体地说，它选择第$i$个切片作为验证数据，其余部分作为训练数据。
Expand Down Expand Up @@ -575,7 +575,7 @@ def train_and_pred(train_features, test_features, train_labels, test_data,
submission.to_csv('submission.csv', index=False)
```

如果测试集上的预测与$K$倍交叉验证过程中的预测相似，
如果测试集上的预测与$K$折交叉验证过程中的预测相似，
那就是时候把它们上传到Kaggle了。
下面的代码将生成一个名为`submission.csv`的文件。

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