IEEE

A Comparative Analysis of Machine Learning Models for Customer Churn Prediction in Subscription-Based Businesses

Abstract: Customer churn prediction remains a critical task for subscription-based businesses aiming to enhance customer retention and reduce revenue loss. This study presents a comparative analysis ...

Prediction markets are back in the spotlight, this time because of the war in Iran

Prediction markets let people wager on anything from a basketball game to the outcome of a presidential election — and ...

Texas ethics expert says prediction markets and AI are threatening elections: 'We're cooked'

"We're cooked," said Andrew Cates, a campaign ethics attorney who's penned nine editions of a legal practice guide on the ...
IEEE

Improving Customer Churn Prediction Using Domain-Driven Feature Engineering, Resampling, and CatBoost with Explainability Extensions

Abstract: This study proposes an innovative pipeline for customer churn prediction in the telecommunications sector, integrating resampling, ensemble learning, and interpretability with fairness ...