Predicting relative performance of classifiers from samples.
Rui LeitePavel BrazdilPublished in: ICML (2005)
Keyphrases
- training samples
- training set
- optimum path forest
- small sample
- training data
- data samples
- test sample
- decision trees
- training examples
- data sets
- linear classifiers
- machine learning algorithms
- support vector
- supervised classification
- labeled samples
- test set
- classification systems
- sampling methods
- minority class
- feature values
- decision boundary
- feature selection
- class labels
- feature set
- high dimensional
- classification rate
- classification models
- machine learning methods
- test data
- classification algorithm
- naive bayes
- semi supervised learning
- classifier combination
- unlabeled samples
- multi class
- unseen data
- support vector machine