Improving the Accuracy of CAR-based Classifiers by Combining Netconf Measure and Dynamic -K Mechanism.
Raudel Hernández-LeónPublished in: CIARP (2015)
Keyphrases
- confusion matrix
- high accuracy
- individual classifiers
- diversity measures
- correlation coefficient
- training data
- multiple classifier systems
- classification rate
- confusion matrices
- classification accuracy
- similarity measure
- combining classifiers
- improving classification accuracy
- highest accuracy
- fold cross validation
- roc curve
- decision trees
- support vector
- computational cost
- error rate
- dynamic environments
- machine learning
- ensemble pruning
- higher classification accuracy
- prediction accuracy
- machine learning algorithms
- predictive accuracy
- classification systems
- training set size
- distance measure
- combining multiple
- computational complexity
- test set
- classification algorithm
- classification method