Bankruptcy Prediction and Credit Scoring Models (Q168960): Difference between revisions

From geokb
(‎Changed label, description and/or aliases in en, and other parts: removed Risk Assessment from aliases; added Q169140 to addresses subject)
(‎Changed label, description and/or aliases in en, and other parts: modified description with assistance from Llama 3.1)
description / endescription / en
This cluster of papers focuses on the development and comparison of machine learning models, including neural networks, support vector machines, and ensemble methods, for predicting bankruptcy and assessing credit risk
Analyzing financial data to predict company bankruptcies and assess credit risk using machine learning models.

Revision as of 14:46, 30 August 2024

Analyzing financial data to predict company bankruptcies and assess credit risk using machine learning models.
  • Bankruptcy Prediction
  • Credit Scoring
  • Financial Distress
  • Neural Networks
  • Support Vector Machines
  • Ensemble Learning
  • Predictive Modeling
  • Financial Crisis
Language Label Description Also known as
English
Bankruptcy Prediction and Credit Scoring Models
Analyzing financial data to predict company bankruptcies and assess credit risk using machine learning models.
  • Bankruptcy Prediction
  • Credit Scoring
  • Financial Distress
  • Neural Networks
  • Support Vector Machines
  • Ensemble Learning
  • Predictive Modeling
  • Financial Crisis

Statements

subclass of
accounting
0 references
uses
machine learning
0 references
risk assessment
0 references
 
Retrieved from "https://geokb.wikibase.cloud/w/index.php?title=Item:Q168960&oldid=1127477"