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Antonia Ritter, Karen Wang, Audrey Gao

Trivial, everyday components of people's lives can, in fact, provide insights into the future. Everyone has a set of data that describes their life: from their income to their relationship status to their home ownership to their parents’ birthplace. Such data can be used to find causal (or, at least correlational) relationships to key events. It’s almost like seeing the future!

Using comprehensive data collected from the Current Population Survey (CPS), we aimed to predict unemployment, birth, and marriage status for the American public using both decision trees and neural networks. The CPS provides monthly data U.S. labor force surveys…

Audrey Gao

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