Ketha, Agranya, and Guillermo Goldsztein. “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, no. 4 (November 30, 2021). Accessed November 28, 2024. https://www.jsr.org/hs/index.php/path/article/view/2331.