Predicting metabolic syndrome using risk quantification and ensemble methods.
Habeebah Adamu KakudiChu Kiong LooFoong Ming MoyPublished in: SSCI (2017)
Keyphrases
- ensemble methods
- prediction accuracy
- random forests
- decision trees
- benchmark datasets
- ensemble learning
- machine learning methods
- base classifiers
- generalization ability
- drifting concepts
- random forest
- majority voting
- base learners
- bootstrap sampling
- ensemble feature selection
- classifier ensemble
- multiple models
- decision tree ensembles
- bias variance analysis
- ensemble classifier