Detection of Compromised Accounts using Machine Learning Based Boosting Algorithms- AdaBoost, XGBoost, and CatBoost.
Arti PandeyArti JainPublished in: ICCCNT (2023)
Keyphrases
- boosting algorithms
- machine learning
- multi class
- loss function
- cost sensitive
- weak learners
- learning algorithm
- binary classification
- adaboost algorithm
- base classifiers
- weak classifiers
- multi class boosting
- object detection
- ensemble methods
- strong classifier
- generalization error
- weak hypotheses
- detection method
- ensemble learning
- decision trees
- feature selection
- machine learning methods
- learning problems
- machine learning algorithms
- text classification
- support vector
- support vector machine
- learning tasks
- data sets
- training samples
- small number
- multi class classification
- misclassification costs
- active learning
- pairwise
- feature extraction
- computer vision
- minimum margin