IEEE

XGBoost Feature Selection for Multi-Class and Binary Classification on UNSW-NB15 Dataset

Abstract: Network intrusion detection systems (NIDS) are a critical part of ensuring the integrity and reliability of a network, which is essential in secure communication. To achieve this, an ...
IEEE

Synthesis Ensemble Oversampling and Ensemble Tree-Based Machine Learning for Class Imbalance Problem in Breast Cancer Diagnosis

Abstract: The Wisconsin Breast Cancer Database dataset describes the imbalanced class. The imbalanced class will produce accuracy that only favors the majority class but not the minority class.