The Shapley Value of Classifiers in Ensemble Games.
Benedek RozemberczkiRik SarkarPublished in: CoRR (2021)
Keyphrases
- game theory
- ensemble learning
- coalitional games
- ensemble classifier
- game theoretic
- solution concepts
- classifier ensemble
- ensemble pruning
- multiple classifiers
- weighted voting
- cooperative games
- training data
- weighted voting games
- majority voting
- training set
- final classification
- ensemble methods
- decision tree classifiers
- feature selection
- individual classifiers
- randomized trees
- majority vote
- decision trees
- multiple classifier systems
- combining classifiers
- support vector
- cooperative game
- class label noise
- nash equilibrium
- ensemble members
- neural network
- weak classifiers
- ensemble classification
- concept drifting data streams
- mining concept drifting data streams
- naive bayes
- random forest
- trained classifiers
- accurate classifiers
- imbalanced data
- computer games
- nash equilibria
- classifier combination
- generalization ability
- random forests
- rule induction algorithm
- linear classifiers
- game playing
- video games
- feature set
- weak learners
- svm classifier
- classification models
- diversity measures
- related problems
- base classifiers
- one class support vector machines
- coalition formation
- training samples
- combining multiple
- machine learning methods
- educational games
- decision problems