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...
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| Main Authors: | , , , , , , |
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| 格式: | Article |
| 語言: | English |
| 出版: |
Elsevier Ltd
2021
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| 主題: | |
| 在線閱讀: | http://eprints.utm.my/id/eprint/95358/1/SaddamHussain2021_ANovelFeatureEngineeredCatBoost.pdf http://eprints.utm.my/id/eprint/95358/ http://dx.doi.org/10.1016/j.egyr.2021.07.008 |
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