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Through the collection of data related to the US Financial System, I evaluate changes in the number of people receiving social security retirement benefits. Through utilizing different econometric and machine learning methodologies, I am able to successfully predict, with 92% F-1 score, if the number of social security recipients will rise or fall.

Models & Methods

  • Logistic Regression
  • Hypothesis Testing - Augmented Dicky Fuller
  • Greedy Selection Methods (Exhaustive, Forward, Backward)


  • F-1 Score: 92%
  • Accuracy: 93%