Improving Classification Accuracy of Large Test Sets Using the Ordered Classification Algorithm.
Thamar SolorioOlac FuentesPublished in: IBERAMIA (2002)
Keyphrases
- classification algorithm
- test set
- improving classification accuracy
- training set
- classification accuracy
- support vector machine
- cross validation
- naive bayes
- training data
- error rate
- bayesian classifiers
- k nearest neighbor
- document classification
- nearest neighbor
- classification rules
- test data
- knn
- concept drift
- data sets
- training examples
- class labels
- class distribution
- classification method
- training samples
- supervised learning
- classification error
- active learning
- decision trees
- neural network
- feature set
- base classifiers
- probability estimation
- data analysis
- small number
- multi class
- naive bayes classifier
- feature space