This repository contains the Python implementation of the Cluster Oversampling G-mean (COG v1.5) algorithm, designed for handling imbalanced classification problems by optimizing the G-mean metric.

This notebook focuses on credit card fraud detection using oversampling techniques to handle the imbalanced dataset Credit card fraud detection is a binary classification problem, where the dataset ...

Abstract: Diabetes is marked by high blood glucose levels and adversely affects various body systems, notably cardiovascular, renal, and visual. Early diagnosis via automated screening is vital for ...

Aims: Epidemiological research on lesbian, gay and bisexual populations raises concerns regarding self-selection and group sizes. The aim of this research was to present strategies used to overcome ...