Using an Ensemble of Classifiers to Audit a Production Classifier.
Piero P. BonissoneNeil H. W. EklundKai GoebelPublished in: Multiple Classifier Systems (2005)
Keyphrases
- multiple classifiers
- individual classifiers
- classifier ensemble
- ensemble classifier
- combining classifiers
- ensemble learning
- final classification
- training data
- classifier combination
- training set
- decision tree classifiers
- multiple classifier systems
- ensemble methods
- accurate classifiers
- majority voting
- majority vote
- weak classifiers
- svm classifier
- base classifiers
- feature selection
- linear classifiers
- weak learners
- probabilistic classifiers
- classifier systems
- classification algorithm
- decision trees
- nearest neighbor classifiers
- nearest neighbor classifier
- feature ranking
- training samples
- classification method
- combining multiple
- classification rate
- classifier fusion
- binary classification problems
- higher classification accuracy
- bias variance decomposition
- decision stumps
- random forest
- diversity measures
- class labels
- ensemble members
- decision boundary
- knn
- bayesian classifier
- optimum path forest
- ensemble pruning
- trained classifiers
- rule based classifier
- feature set
- classification models
- class distribution
- k nearest neighbour
- learning classifier systems
- binary classifiers
- supervised learning
- weighted voting
- naive bayes
- highest accuracy
- random forests
- roc curve
- feature space
- base learners
- feature selection and classifier
- combination of multiple classifiers