The code in this repository trains a binary classification model on a generated data set and then runs standard classification metrics, SHAP, and supervised clustering to evaluate and interpret the ...

Binary Classification Using LightGBM. Dr. James McCaffrey from Microsoft Research presents a full-code, step-by-step tutorial on using the LightGBM tree-based system to perform binary classification ...

This project focuses on binary classification using multiple input features. The goal is to classify data into one of two distinct categories based on various input attributes. This machine learning ...

Human-in-the-loop data analysis applications necessitate greater transparency in machine learning models for experts to understand and trust their decisions. To this end, we propose a visual analytics ...