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In my dataset, I have data of IDs that don't create any meaningful relationship with each other and when I test that dataset on different models I am not getting accuracy more than 40%.

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Anyone can assist me to map or data engineer my features to build a meaningful relation in data to get my desired accuracy.

In my dataset assign_to is the target and machine and location id's are features.

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You can't used IDs to do machine learning. IDs are not dependent variables and they are not independent variables.

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  • $\begingroup$ I understand this thing, that's the main cause of low accuracy. Can we use IDs by mapping them into meaningful values? $\endgroup$ Jul 12, 2023 at 5:05

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