Project exploring the impact of node pruning on CNN performance metrics within a stratified k-fold cross-validation framework. Focuses on optimizing recall for medical imaging tasks while analyzing trade-offs in precision and accuracy

An efficiency enhancement tool for binary classifier pipelines. Aims to optimize feature selection within datasets for faster training and improved binary classification performance.