Welcome to the **FinalProject13** package! This package implements supervised binary classification using numerical optimization techniques, with a particular focus on logistic regression. It is designed to help users efficiently estimate the coefficients of logistic regression models and generate confidence intervals using bootstrapping. Additionally, the package includes tools for model evaluation, including confusion matrix calculations and other diagnostic metrics.