Building Diverse Classifier Outputs to Evaluate the Behavior of Combination Methods: The Case of Two Classifiers.
Héla ZouariLaurent HeutteYves LecourtierAdel M. AlimiPublished in: Multiple Classifier Systems (2004)
Keyphrases
- classification decisions
- decision trees
- support vector
- machine learning algorithms
- classification method
- k nearest neighbour
- training data
- confusion matrix
- individual classifiers
- feature selection
- highest accuracy
- combining classifiers
- multiple classifier systems
- learning algorithm
- feature set
- multiple classifiers
- training set
- multi category
- higher classification accuracy
- classification algorithm
- multi label classification
- naive bayes classifier
- binary classification problems
- machine learning methods
- roc curve
- training samples
- knn
- optimum path forest
- text classifiers
- classification process
- weak classifiers