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我想将测试集的得分生成到txt文件,可是我看代码中是求得相似度
Hello, 二分类的score就是三个level的feature的相似度的加权平均。计算方法可以参考一下 src/algo.py 214行,函数prediction_student的返回值 preds就是二分类的分数。分数越小越真。
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我确实是将prediction_student的返回值 preds,可是得分都是在0.03左右,二分类得分不应该是一类是接近于1,一类接近于0吗?
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我确实是将prediction_student的返回值 preds,可是得分都是在0.03左右,二分类得分不应该是一类是接近于1,一类接近于0吗?
- 首先,对于二分类问题,其中一个类的大多数样本score小于另一类就可以确定threshold进行二分类,跟score是否接近0或1无关。
- 关于真假样本score都接近0。因为我们的方法在adaptation阶段只使用target domain的真样本训练student,所以测试时真假样本的score都会更接近0。但是大多数真样本的score会比假样本的score小, 可以进行二分类。
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我明白了,谢谢您的及时回复与解答。十分感谢!
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