A constant in the business world is the frequent movement of customers joining or abandoning companies’ services and products. The customer is one of the company’s most important assets. Reducing the customer abandonment rate has become a matter of survival and, at the same time, the most...

Predicting bankruptcy within selected industries is crucial because of the potential ripple effects and unique characteristics of those industries. It serves as a risk management tool, guiding various stakeholders in making decisions. While artificial intelligence (AI) has shown high success...

This research article presents a comparative analysis between logistic regression as a traditional method, artificial neural networks (ANNs), and decision tree as machine learning techniques for predicting credit risk. It meticulously examines and evaluates these three methods, elucidating their...

These slides are part of the Data & Ai reskilling seminar in Banking hosted by Dauphine and Ecoles des Mines PSL. They provide tips & tricks for classification using logistic regression, decision trees and neural networks

In order to be able to develop effective energy policies based on accurate projections, the search for better consumption modeling options is nowadays the focus of many researchers. Given the emerging use of quantile regression, decision tree and artificial neural network models for energy...