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IEEE/ICACT20210193 Question.7 Questioner: 17862328070@163.com 2021-02-10 오후 6:08:09	IEEE/ICACT20210193 Answer.7 Answer by Auhor satyabrataaich@gmail.com 2021-02-10 오후 6:08:09
The second problem is that the F1score you used to evaluate the model is indeed a metric that can weigh the detection rate and accuracy of the model, but there is a default premise that the weight of the two types of errors committed by the model is the same, that is, we default to the model to predict the disease that is not this disease as this disease and the prediction of the disease that is not this disease has the same weight. However, in practice, this is often seen as a non-equivalence, have you considered this problem?	Thank you for the question. This is a great question and to be honest we did not think about it.But we will consider this point and then work on it to solve these kind of problem.

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