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  • Search: subject:"confusion matrix"
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Year of publication
Subject
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Artificial intelligence 3 Künstliche Intelligenz 3 Forecasting model 2 Prognoseverfahren 2 a confusion matrix 2 big data 2 classification analysis 2 confusion matrix 2 insurance 2 machine learning 2 Aktienmarkt 1 Algorithm 1 Algorithmus 1 Automobile insurance 1 Big Data 1 Big data 1 Brasilien 1 Brazil 1 Classification 1 Confusion Matrix and Performance Evaluation 1 Corporate Social Responsibility 1 Corporate social responsibility 1 Cross Validation 1 Data Mining 1 Data mining 1 Insolvency 1 Insolvenz 1 Insurance 1 Introduction 1 Kfz-Versicherung 1 Klassifikation 1 Learning process 1 Lernprozess 1 Machine Learning 1 Stock market 1 Versicherung 1 business failure in Brazil 1 edge-detection 1 environmental, social, and governance (ESG) 1 geometrical features 1
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Online availability
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Free 5 CC license 2
Type of publication
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Article 5
Type of publication (narrower categories)
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Article in journal 3 Aufsatz in Zeitschrift 3 Article 1
Language
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English 4 Undetermined 1
Author
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Hanafy, Mohamed 2 Ming, Ruixing 2 Ashraf, Sumaira 1 Bonga-Bonga, Lumengo 1 Dimingo, Roselyn 1 Machado, Luiz Pinto 1 Martins Almeida, António 1 Mehwish Kaleem 1 Muteba Mwamba, John 1 Niu, Xuefeng 1 Raza, Hassan 1 Shao, Peng 1 Tang, Tianqi 1 Yang, Guodong 1 Zhan, Fulei 1 Zhang, Xuqing 1
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Published in...
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Risks : open access journal 2 Economia internazionale 1 Risks 1 Sustainability 1
Source
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ECONIS (ZBW) 3 EconStor 1 RePEc 1
Showing 1 - 5 of 5
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Does ESG predict business failure in Brazil? : An application of machine learning techniques
Mehwish Kaleem; Raza, Hassan; Ashraf, Sumaira; Martins … - In: Risks : open access journal 12 (2024) 12, pp. 1-22
The aim of this study is to explore the influence of environmental, social, and governance (ESG) factors on business failure in Brazil by employing advanced machine learning techniques. We collected data from 235 companies and conducted principal component analysis (PCA) on 40 variables already...
Persistent link: https://www.econbiz.de/10015325268
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Machine learning approaches for auto insurance big data
Hanafy, Mohamed; Ming, Ruixing - In: Risks 9 (2021) 2, pp. 1-23
The growing trend in the number and severity of auto insurance claims creates a needfor new methods to efficiently handle these claims. Machine learning (ML) is one of the methodsthat solves this problem. As car insurers aim to improve their customer service, these companieshave started adopting...
Persistent link: https://www.econbiz.de/10013200711
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Machine learning approaches for auto insurance big data
Hanafy, Mohamed; Ming, Ruixing - In: Risks : open access journal 9 (2021) 2/42, pp. 1-23
The growing trend in the number and severity of auto insurance claims creates a needfor new methods to efficiently handle these claims. Machine learning (ML) is one of the methodsthat solves this problem. As car insurers aim to improve their customer service, these companieshave started adopting...
Persistent link: https://www.econbiz.de/10012483213
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Prediction of stock market direction : application of machine learning models
Dimingo, Roselyn; Muteba Mwamba, John; Bonga-Bonga, Lumengo - In: Economia internazionale 74 (2021) 4, pp. 499-536
Persistent link: https://www.econbiz.de/10013164505
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Information Extraction of High-Resolution Remotely Sensed Image Based on Multiresolution Segmentation
Shao, Peng; Yang, Guodong; Niu, Xuefeng; Zhang, Xuqing; … - In: Sustainability 6 (2014) 8, pp. 5300-5310
multiresolution segmentation, and overall accuracy of information extraction reaches to 94.6% by the confusion matrix. …
Persistent link: https://www.econbiz.de/10010886248
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