A Statistical Comparison of Classification Algorithms on a Single Data Set.
Christopher SibonaJon BrickeyPublished in: AMCIS (2012)
Keyphrases
- data sets
- benchmark datasets
- classification algorithm
- benchmark data sets
- pattern recognition
- feature selection algorithms
- training set
- classification accuracy
- classification scheme
- decision trees
- feature selection
- machine learning methods
- learning algorithm
- machine learning
- computational complexity
- machine learning algorithms
- computational cost
- statistical analysis
- pattern classification
- statistical measures
- theoretical analysis
- text classification
- statistical approaches
- terms of classification accuracy
- feature vectors
- support vector
- data structure
- training data
- real world
- maximum entropy modeling
- massive data sets
- automatic classification
- small data sets
- classification models
- statistical methods
- classification rules
- image classification
- optimization problems
- principal component analysis
- significant improvement
- feature space
- feature extraction
- data mining