Application of AI in credit scoring modeling / / Bohdan Popovych

• Autore: Popovych Bohdan
• Pubblicazione: Wiesbaden, Germany : , : Springer Gabler, , [2022]; ©2022
• Descrizione fisica: 1 online resource (93 pages)
• Disciplina: 332.640285
• Soggetto topico: Artificial intelligence - Financial applications; Credit scoring systems
• Nota di bibliografia: Includes bibliographical references.
• Nota di contenuto: Intro -- Foreword -- Abstract -- Contents -- Abbreviations -- List of Figures -- List of Tables -- 1 Introduction -- 2 Theoretical Concepts of Credit Scoring -- 2.1 Literature Background -- 2.2 Theoretical Overview -- 2.2.1 Definition and Application -- 2.2.2 Advantages and Limitations -- 2.2.3 Comparison of Credit Scoring and Credit Rating -- 2.3 Regulatory Requirements -- 3 Credit Scoring Methodologies -- 3.1 Traditional Credit Scoring Techniques -- 3.1.1 Discriminant Analysis -- 3.1.2 Logistic Regression -- 3.1.3 Expert Systems -- 3.2 Artificial Intelligence Classification Methods -- 3.2.1 Overview of AI Classification Techniques -- 3.2.2 Decision Trees -- 3.2.3 Random Forest -- 3.3 Methods of Model Validation -- 4 Empirical Analysis -- 4.1 Data Analysis -- 4.2 Logistic Regression -- 4.2.1 Model Description -- 4.2.2 Model Interpretation -- 4.2.3 Model Performance -- 4.3 Decision Tree -- 4.3.1 Model Description and Interpretation -- 4.3.2 Model Performance -- 4.4 Random Forest -- 4.4.1 Model Description -- 4.4.2 Model Interpretation -- 4.4.3 Model Performance -- 4.5 Models Comparison -- 5 Conclusion -- References.
• Titolo autorizzato: Application of AI in Credit Scoring Modeling
• ISBN: 9783658401801; 9783658401795
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910634052603321
• Lo trovi qui: Univ. Federico II
• Serie: BestMasters.