LEADER 02654nam 2200457 450 001 9910634052603321 005 20230415200015.0 010 $a9783658401801$b(electronic bk.) 010 $z9783658401795 035 $a(MiAaPQ)EBC7153333 035 $a(Au-PeEL)EBL7153333 035 $a(CKB)25610250600041 035 $a(OCoLC)1354207339 035 $a(EXLCZ)9925610250600041 100 $a20230415d2022 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aApplication of AI in credit scoring modeling /$fBohdan Popovych 210 1$aWiesbaden, Germany :$cSpringer Gabler,$d[2022] 210 4$d©2022 215 $a1 online resource (93 pages) 225 1 $aBestMasters 311 08$aPrint version: Popovych, Bohdan Application of AI in Credit Scoring Modeling Wiesbaden : Springer Fachmedien Wiesbaden GmbH,c2023 9783658401795 320 $aIncludes bibliographical references. 327 $aIntro -- Foreword -- Abstract -- Contents -- Abbreviations -- List of Figures -- List of Tables -- 1 Introduction -- 2 Theoretical Concepts of Credit Scoring -- 2.1 Literature Background -- 2.2 Theoretical Overview -- 2.2.1 Definition and Application -- 2.2.2 Advantages and Limitations -- 2.2.3 Comparison of Credit Scoring and Credit Rating -- 2.3 Regulatory Requirements -- 3 Credit Scoring Methodologies -- 3.1 Traditional Credit Scoring Techniques -- 3.1.1 Discriminant Analysis -- 3.1.2 Logistic Regression -- 3.1.3 Expert Systems -- 3.2 Artificial Intelligence Classification Methods -- 3.2.1 Overview of AI Classification Techniques -- 3.2.2 Decision Trees -- 3.2.3 Random Forest -- 3.3 Methods of Model Validation -- 4 Empirical Analysis -- 4.1 Data Analysis -- 4.2 Logistic Regression -- 4.2.1 Model Description -- 4.2.2 Model Interpretation -- 4.2.3 Model Performance -- 4.3 Decision Tree -- 4.3.1 Model Description and Interpretation -- 4.3.2 Model Performance -- 4.4 Random Forest -- 4.4.1 Model Description -- 4.4.2 Model Interpretation -- 4.4.3 Model Performance -- 4.5 Models Comparison -- 5 Conclusion -- References. 410 0$aBestMasters. 606 $aArtificial intelligence$xFinancial applications 606 $aCredit scoring systems. 615 0$aArtificial intelligence$xFinancial applications. 615 0$aCredit scoring systems. . 676 $a332.640285 700 $aPopovych$b Bohdan$01272154 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910634052603321 996 $aApplication of AI in Credit Scoring Modeling$92996527 997 $aUNINA