A novel feature engineered-CatBoost-based supervised machine learning framework for electricity theft detection
This paper presents a novel supervised machine learning-based electric theft detection approach using the feature engineered-CatBoost algorithm in conjunction with the SMOTETomek algorithm. Contrary to the previous literature, where the missing observations in data are either ignored or imputed with...
Main Authors: | Hussain, Saddam, Mustafa, Mohd. Wazir, A. Jumani, Touqeer, Baloch, Shadi Khan, Alotaibi, Hammad, Khan, Ilyas, Khan, Afrasyab |
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Format: | Article |
Language: | English |
Published: |
Elsevier Ltd
2021
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Subjects: | |
Online Access: | http://eprints.utm.my/95358/1/SaddamHussain2021_ANovelFeatureEngineeredCatBoost.pdf |
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