An Effective Cost-Sensitive XGBoost Method for Malicious URLs Detection in Imbalanced Dataset
Imbalanced class has been a common problem encountered in the modeling process, and has attracted more and more attention from scholars. Biased classifiers, which limit the classifiers’ performance for minority classes, will be produced if the imbalanced ratio between the number of positi...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2021-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9466844/ |