Predicting Company Bankruptcy Using Machine Learning Techniques: A Step-by-Step Guide

View Sample PDF

Author(s): Eunjung Lee (Lewis University, USA)
Copyright: 2023
Pages: 26
Source title: Advancement in Business Analytics Tools for Higher Financial Performance
Source Author(s)/Editor(s): Reza Gharoie Ahangar (Lewis University, USA)and Mark Napier (Lewis University, USA)
DOI: 10.4018/978-1-6684-8386-2.ch009

Keywords: Accounting and Finance / Business Science Reference / Data Analysis & Statistics / Library & Information Science

Purchase

View Predicting Company Bankruptcy Using Machine Learning Techniques: A Step-by-Step Guide on the publisher's website for pricing and purchasing information.

Abstract

In today's business landscape, predicting the financial health of a company is essential for informed decision-making by investors, creditors, and other stakeholders. Using historical financial data and machine learning techniques, it is now possible to predict the likelihood of a company going bankrupt. This chapter provides a step-by-step guide on how to predict company bankruptcy using the “company bankruptcy prediction” dataset available on UCI machine learning repository. The chapter covers data analysis, pre-processing, applying various machine learning algorithms, evaluating model performance, and applying models to new datasets. The aim is to equip readers with the necessary skills to analyze and predict the financial health of companies, making it a valuable resource for investors, creditors, and financial analysts.

The IRMA Community

Research IRM

Predicting Company Bankruptcy Using Machine Learning Techniques: A Step-by-Step Guide

Purchase

Abstract

Related Content

IRMA Sponsors