Ensemble approach based on bagging, boosting and stacking for short-term prediction in agribusiness time series.
Matheus Henrique Dal Molin RibeiroLeandro dos Santos CoelhoPublished in: Appl. Soft Comput. (2020)
Keyphrases
- short term prediction
- base classifiers
- ensemble learning
- short term
- ensemble methods
- wind speed
- neural network
- decision trees
- multi class
- long term
- ensemble classifier
- generalization ability
- random forest
- boosting algorithms
- base learners
- solar radiation
- randomized trees
- weak learners
- training set
- decision stumps
- naive bayes
- training samples
- cost sensitive
- benchmark datasets
- ensemble classification
- wind power
- gradient boosting
- class labels
- model averaging
- classifier ensemble
- decision tree ensembles
- feature set
- prediction accuracy
- negative correlation learning
- individual classifiers
- classifier combination
- concept drift
- machine learning methods
- learning algorithm
- combining multiple
- random forests