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Do We Fully Understand Students’ Knowledge States? Identifying and Mitigating Answer Bias in Knowledge Tracing
您好,我认为你们的工作非常新颖,并且感谢你们能开源,让我受益匪浅。
但是我在看你们的代码实现时,发现一个小问题,就是测试代码的balance_example
,在对测试集中每道习题进行平衡采样时,采样的样本是正确数量加错误数量除以2,因此使用了重复采样(np.random.choices的参数replace为True),这会导致计算模型性能时测试样本重复计算。实际上我复现了你们的工作(qDKT-CORE),发现如果不使用重复采样(这个时候采样样本数就要设置为正确数量和错误数量两个值中的最小值),计算出来的指标要低0.3个点左右。
另外还有个问题,在代码中的fusion mode有3个取值:sum
,hm
,rubi
,我对第2个不理解,请问这是来自哪里?
万分感谢!
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