Effects of data set features on the performances of classification algorithms.
Ohbyung KwonJae Mun SimPublished in: Expert Syst. Appl. (2013)
Keyphrases
- feature selection algorithms
- benchmark datasets
- feature extraction
- data sets
- feature vectors
- classification accuracy
- feature space
- classification process
- classification algorithm
- classification method
- feature selection
- support vector machine
- machine learning approaches
- real world
- training set
- classification models
- benchmark data sets
- feature set
- machine learning methods
- machine learning algorithms
- svm classifier
- pattern recognition
- supervised classifiers
- neural network
- association rules
- support vector machine svm
- supervised learning
- image features
- preprocessing
- computational complexity
- discriminative features
- classification trees
- support vector
- classification performances
- small data sets
- numeric values
- feature extraction and selection
- sufficient training data
- supervised machine learning algorithms