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> Why is it not a data set, but five different data sets(AA、B、C、D、E), what is the purpose of doing this?

Is it to train with five data sets separately, then build different models, and then test? Are these five model relationships parallel?

Posted by: lhg1992 @ Aug. 10, 2018, 8:59 a.m.

Reading this ( should be helpful to your question.

Posted by: xiayunsun @ Aug. 10, 2018, 9:59 a.m.

I have browsed the webpage many times according to your suggestion. I think the example diagram in the webpage only shows a dataset, such as AA, so can you assume that the five datasets are independent of each other? But what about the same training framework for these datasets?

Posted by: lhg1992 @ Aug. 10, 2018, 11:52 a.m.

We are using 5 data sets, each of which evaluated in the same scenario. This is an AutoML competition, so we look for a method that performs well for many data sets. The goal of having 5 data sets is for the results to be more conclusive.


Posted by: hugo.jair @ Aug. 10, 2018, 1:31 p.m.
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