Optimizing Classifiers for Hypothetical Scenarios.
Reid A. JohnsonTroy RaederNitesh V. ChawlaPublished in: PAKDD (1) (2015)
Keyphrases
- support vector
- training data
- decision trees
- feature selection
- multiple classifiers
- supervised classification
- machine learning algorithms
- classification systems
- linear classifiers
- real world
- classification method
- test set
- feature set
- naive bayes
- majority voting
- svm classifier
- text categorization
- roc curve
- supervised learning
- training set
- classifier systems
- classifier combination
- optimum path forest
- decision tree classifiers
- highest accuracy
- classification models
- probabilistic classifiers
- small sample
- k nearest neighbour
- binary classifiers
- learning classifier systems
- extracted features
- classification algorithm
- class labels
- genetic algorithm