Monotonic classification: an overview on algorithms, performance measures and data sets.
José Ramón CanoPedro Antonio GutiérrezBartosz KrawczykMichal WozniakSalvador GarcíaPublished in: CoRR (2018)
Keyphrases
- data sets
- machine learning
- benchmark datasets
- computational cost
- optimization problems
- benchmark data sets
- learning algorithm
- classification algorithm
- computational complexity
- training set
- machine learning algorithms
- supervised learning
- machine learning methods
- classification method
- support vector machine svm
- computationally efficient
- support vector machine
- support vector
- data structure
- feature extraction
- data mining
- database
- image classification
- theoretical analysis
- classification accuracy
- feature vectors
- feature selection
- evaluation measures
- complexity measures
- synthetic and real world data sets
- building classification models