1.
Ketha A, Goldsztein G. 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. J Stud Res [Internet]. 2021Nov.30 [cited 2024Nov.28];10(4). Available from: https://www.jsr.org/hs/index.php/path/article/view/2331