A novel approach to breast cancer detection using modified logistic regression with optimized feature selection
A Modified Logistic Regression model that employs different activation functions and produces better-calibrated probability estimates, a lower false-negative rate, and more compact feature attributions with consistent ranking is recommended, within a flexible architecture that admits any differentiable activation.