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Group Partitioning for Time Dependent Data

Blue LED



I'm currently working with an imbalanced dataset (ratio of about 25:1), where there is a time component as well (like trying to predict when a working system or client has an undesirable result). I was considering doing a group partition, my question is, does group partition shuffle the groups randomly or how would I manually make a group that contains the most recent time period of data be in the holdout group? Does Time aware modelling automatically do this?





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