Credit Scoring in Context of Interpretable Machine Learning
Language: en
Pages:

Credit Scoring in Context of Interpretable Machine Learning

Authors: Bogumił Kamiński
Categories:
Type: BOOK - Published: 2020 - Publisher:

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INTERPRETABLE MACHINE LEARNING CREDIT SCORING MODEL
Language: en
Pages: 55

INTERPRETABLE MACHINE LEARNING CREDIT SCORING MODEL

Authors: FOO YEONG JIN (TP044538)
Categories: Credit scoring systems
Type: BOOK - Published: 2019 - Publisher:

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This study divided into two distinct part to accurately assess the interpretability of the proposed model. The first part is to develop a credit scoring model u
Interpretable Machine Learning
Language: en
Pages: 320

Interpretable Machine Learning

Authors: Christoph Molnar
Categories: Artificial intelligence
Type: BOOK - Published: 2020 - Publisher: Lulu.com

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This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simp
Rule Extraction from Support Vector Machines
Language: en
Pages: 267

Rule Extraction from Support Vector Machines

Authors: Joachim Diederich
Categories: Technology & Engineering
Type: BOOK - Published: 2007-12-27 - Publisher: Springer

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Support vector machines (SVMs) are one of the most active research areas in machine learning. SVMs have shown good performance in a number of applications, incl
Recent Methods from Statistics and Machine Learning for Credit Scoring
Language: en
Pages: 166

Recent Methods from Statistics and Machine Learning for Credit Scoring

Authors: Anne Kraus
Categories: Mathematics
Type: BOOK - Published: 2014-07-08 - Publisher: Cuvillier Verlag

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Credit scoring models are the basis for financial institutions like retail and consumer credit banks. The purpose of the models is to evaluate the likelihood of