A Classifier for Reducing Numerical Errors using Ensemble Method.
Yuta SuzukiToi TsunedaDaiki KuyoshiSatoshi YamanePublished in: GCCE (2021)
Keyphrases
- ensemble methods
- ensemble learning
- classifier ensemble
- uci data sets
- individual classifiers
- ensemble classifier
- decision trees
- multilabel classification
- prediction accuracy
- decision tree learning
- random forests
- benchmark datasets
- base learners
- base classifiers
- random forest
- ensemble members
- machine learning methods
- rotation forest
- generalization ability
- feature subset
- instance based learning
- classification algorithm
- classifier combination
- training data
- machine learning algorithms
- feature selection
- training set
- neural network
- logistic regression
- learning scheme
- training examples
- naive bayes
- feature space
- data streams