Monotonic classification: An overview on algorithms, performance measures and data sets.
José Ramón CanoPedro Antonio GutiérrezBartosz KrawczykMichal WozniakSalvador GarcíaPublished in: Neurocomputing (2019)
Keyphrases
- data sets
- classification algorithm
- image classification
- feature selection algorithms
- pattern recognition
- data structure
- decision trees
- computational complexity
- classification accuracy
- evaluation measures
- optimization problems
- machine learning algorithms
- data sets from uci
- machine learning
- quality measures
- evaluation metrics
- benchmark data sets
- feature extraction
- theoretical analysis
- computational cost
- significant improvement
- training set
- training samples
- feature selection
- classification rules
- pattern classification
- database
- worst case
- active learning
- classification scheme
- synthetic and real world data sets
- building classification models