Discrepancy in age variable

PREPARE Challenge
1

Hi everyone,
For some uids in train and test, the age group in 2003 is higher than age group is 2012. for example, in test data for uid “dsvb” age_03=70–79 and age_12=60–69
similarly in train for uid “rlaq”. Is possible to rectify it or anything else. I just want to make sure that I am feeding right data to the model.

Thanks

2

Hello @Nikhil24. Thanks for this observation. We can confirm that you are feeding the right data to the model and that these cases are present in the original survey data. The data for this challenge are real-world survey data and can be expected to contain some amount of error. We encourage you to handle age in your modeling however works best for you.

3

okay, I understood. Thanks for confirmation.