Ensemble Methods for Classification in Cheminformatics.
Christian MerkwirthHarald MauserTanja Schulz-GaschOlivier RocheMartin StahlThomas LengauerPublished in: J. Chem. Inf. Model. (2004)
Keyphrases
- ensemble methods
- machine learning methods
- decision trees
- benchmark datasets
- majority voting
- generalization ability
- ensemble learning
- classifier ensemble
- ensemble classification
- machine learning
- ensemble classifier
- individual classifiers
- classification accuracy
- pattern recognition
- image classification
- text classification
- model selection
- decision tree learning
- base classifiers
- base learners
- random forests
- prediction accuracy
- imbalanced data
- classification algorithm
- training samples
- feature subset
- random forest
- class labels
- feature vectors
- feature selection
- drifting concepts
- classification models
- neural network
- support vector machine svm
- supervised learning
- support vector machine
- training set
- classifier combination
- support vector
- training data