A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities.
Sergio GonzálezSalvador GarcíaJavier Del SerLior RokachFrancisco HerreraPublished in: Inf. Fusion (2020)
Keyphrases
- machine learning algorithms
- software tools
- random forests
- decision trees
- ensemble methods
- learning algorithm
- machine learning
- machine learning methods
- benchmark data sets
- ensemble learning
- real world
- predictive accuracy
- meta learning
- decision tree ensembles
- multiple perspectives
- machine learning approaches
- base classifiers
- learning models
- learning problems
- base learners
- cost sensitive
- ensemble classifier
- input features
- learning tasks
- ensemble classification
- rotation forest
- neural network ensembles
- prediction accuracy