Bagging Vs. Boosting in Ensemble Machine Learning? An Integrated Application to Fraud Risk Analysis in the Insurance Sector.
Ruixing MingOsama MohamadNisreen InnabMohamed HanafyPublished in: Appl. Artif. Intell. (2024)
Keyphrases
- machine learning
- risk analysis
- ensemble methods
- ensemble learning
- base classifiers
- risk management
- ensemble classification
- learning algorithm
- machine learning methods
- decision trees
- random forests
- randomized trees
- feature selection
- majority voting
- neural network
- decision tree ensembles
- ensemble classifier
- fraud detection
- weak classifiers
- risk assessment
- base learners
- prediction accuracy
- computational intelligence
- training set
- random forest
- pattern recognition
- weak learners
- imbalanced data
- model selection
- case based reasoning