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作者您好,我最近看了您的论文,效果很好,现在也在做相关的实验,但对实验细节存在疑问。论文中的实验结果是跑10次求平均,我想问一下:这10次是基于同一组数据划分((build_graph.py只运行一次),训练时使用10个随机种子得到的?还是基于10组不同的随机数据划分(build_graph.py运行10次或者交叉验证),训练时使用1个随机种子?
期待您的答复,谢谢!
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@Tansy-Tansy 您好,取10次随机种子即可。如果不同方法对比时不能统一划分数据,多次划分也是可以的。
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您好,那请问所有数据集是共享10个相同的随机种子还是各自设置不同的10个种子呢?
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作者您好,我最近看了您的论文,效果很好,现在也在做相关的实验,但对实验细节存在疑问。论文中的实验结果是跑10次求平均,我想问一下:这10次是基于同一组数据划分((build_graph.py只运行一次),训练时使用10个随机种子得到的?还是基于10组不同的随机数据划分(build_graph.py运行10次或者交叉验证),训练时使用1个随机种子?
期待您的答复,谢谢!
The text was updated successfully, but these errors were encountered: