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IEEE/ICACT20220050 Question.1 Questioner: liumengup@126.com 2022-02-12 오후 9:08:23	IEEE/ICACT20220050 Answer.1 Answer by Auhor zakaria.sawado@gmail.com 2022-02-12 오후 9:08:23
this paper investigated the impact that imbalanced datasets can have on the performance of models produced by classification algorithms. The analysis of the most suitable evaluation metrics for imbalanced dataset is proposed. 1.The train dataset and test dataset are both balanced or both imbalanced? that is, the situation that the train dataset is balanced and the test dataset is imbalanced is considered or not. this situation may occure frequently.	Thank you for your interest in our research. For your first question, we used two types of datasets (balanced data and imbalanced data).Then we formed training and test data for each type of data set. Then we formed training and test data for each type of data set. Your second question was whether we considered a balanced training set and an unbalanced test set, the answer is no. Thank you for this lead that we can explore.

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