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Credit Risk Analytics: Predictive Modeling Techniques Comparison - Automated comparison of various predictive modeling techniques on credit card data

od Singh, Ravinder
Stan: Nowy
258,68 zł
Zawiera podatek VAT, darmowa dostawa
Singh, Ravinder Credit Risk Analytics: Predictive Modeling Techniques Comparison - Automated comparison of various predictive modeling techniques on credit card data
Singh, Ravinder - Credit Risk Analytics: Predictive Modeling Techniques Comparison - Automated comparison of various predictive modeling techniques on credit card data

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258,68 zł zawiera VAT
Dostępnych sztuk: 1 Dostępnych tylko 1 sztuk
Dostawa: między 2021-05-18 a 2021-05-20
Sprzedaż i wysyłka: Dodax EU

Opis

Credit Scoring studies are very important for any financial house. Both traditional statistical and modern data mining/machine learning tools have been evaluated in the credit scoring problem. Predictive modeling defaulter risk is one of the important problems in credit risk management. There are quite a few aggregate models and data driven models available in literature But very few of the studies facilitate the comparison of majority of the commonly employed tools in single comprehensive study. Additionally no study assesses the performance on more then two data sets and reports the results at the same time. So a macro or a simulator is designed which would work on multiple data sets and make the process of credit scoring transparent to the novice user. In initial stage, tools were compared using Dtreg predictive modeling software. Subsequently a SAS macro is developed to evaluate the effectiveness of tools available in SAS enterprise miner. The results revealed that support vector machine and genetic programming are superior tools for the purpose of classifying the loan applicant as their misclassification rates were least as compared to others. Also cross validation is essentia

Współtwórcy

Autor:
Singh, Ravinder

Dalsza informacja

Biografie:
Ravinder Singh, ME(Master of Engineering), Data Analyst/Predictive Modeler/SAS consultant at Knowledge Business solutions,Bangalore, SAS advance certified
Język:
Englisch
Liczba stron:
156
Nośnik:
Taschenbuch
Publisher:
LAP Lambert Academic Publishing

Dane podstawowe

Rodzaj produktu:
Paperback book
Wymiary opakowania:
0.22 x 0.15 x 0.009 m; 0.281 kg
GTIN:
09783659300868
DUIN:
FAHHQGNHEJJ
258,68 zł
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