Ketha, A., & 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). https://doi.org/10.47611/jsrhs.v10i4.2331