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...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier Ltd
2021
|
| Subjects: | |
| Online Access: | 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 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!