The Role of Discretization of Continuous Variables in Socioeconomic Classification Models on the Example of Logistic Reg
Logistic regression models and artificial neural networks require the use of appropriate quality data. One of the methods of improving the quality of raw data is the discretization of continuous variables. It can be a way to deal with outliers and influen
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Krzysztof Jajuga Jacek Batóg Marek Walesiak Editors
Classification and Data Analysis Theory and Applications
Studies in Classification, Data Analysis, and Knowledge Organization
Managing Editors
Editorial Board
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Krzysztof Jajuga Jacek Batóg Marek Walesiak •
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Editors
Classification and Data Analysis Theory and Applications
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Editors Krzysztof Jajuga Department of Financial Investments and Risk Management Wroclaw University of Economics and Business Wroclaw, Poland
Jacek Batóg Institute of Econometrics and Statistics University of Szczecin Szczecin, Poland
Marek Walesiak Department of Econometrics and Computer Science Wroclaw University of Economics and Business Wroclaw, Poland
ISSN 1431-8814 ISSN 2198-3321 (electronic) Studies in Classification, Data Analysis, and Knowledge Organization ISBN 978-3-030-52347-3 ISBN 978-3-030-52348-0 (eBook) https://doi.org/10.1007/978-3-030-52348-0 Mathematics Subject Classification: 62Hxx, 62H25, 62H30, 62H86, 62-07, 62-09, 68Uxx, 68U20, 62Pxx, 62P12, 62P20, 62P25 © Springer Nature Switzerland AG 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company
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