Ketha, A. and Goldsztein , G. 2021. Applications of Feature Engineering and Logistic Regression to Analyze Microchip Performance: Using key features of machine learning to calculate, generate, and enhance a nonlinear decision boundary. Journal of Student Research. 10, 4 (Nov. 2021). DOI:https://doi.org/10.47611/jsrhs.v10i4.2331.