Relative_error_train=(y_predict_train-y_train)/y_train*100

根据引用\[1\]中的代码，Relative_error_train的计算公式为(y_predict_train - y_train) / y_train * 100。其中，y_predict_train是训练集的预测值，y_train是训练集的真实值。

在这个问题中，没有提到具体的y_predict_train和y_train的值，所以无法计算Relative_error_train。请提供y_predict_train和y_train的具体数值，我可以帮您计算Relative_error_train。
#### 引用[.reference_title]
- *1* [循环神经网络教程第二部分-用python，numpy，theano实现一个RNN](https://blog.csdn.net/weixin_39942474/article/details/111753493)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^insertT0,239^v3^insert_chatgpt"}} ] [.reference_item]
- *2* [Sklearn_工具--3SKlearn中的模型选择体系](https://blog.csdn.net/LIWEI940638093/article/details/105516967)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^insertT0,239^v3^insert_chatgpt"}} ] [.reference_item]
- *3* [kaggle比赛记录——ieee_fraud_detection问题](https://blog.csdn.net/ThomasCai001/article/details/100562653)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^insertT0,239^v3^insert_chatgpt"}} ] [.reference_item]
[ .reference_list ]