Evaluation of Random Forest and Ensemble Methods at Predicting Complications Following Cardiac Surgery.
Linda LappMatt-Mouley BouamraneKimberley KavanaghMarc RoperDavid YoungStefan SchraagPublished in: AIME (2019)
Keyphrases
- random forest
- ensemble methods
- random forests
- prediction accuracy
- decision trees
- rotation forest
- ensemble learning
- base classifiers
- machine learning methods
- generalization ability
- benchmark datasets
- cardiac surgery
- ensemble classifier
- majority voting
- feature set
- base learners
- classifier ensemble
- machine learning
- data sets
- evolutionary algorithm
- training set
- minimally invasive