Do we need hundreds of classifiers to solve real world classification problems?
Manuel Fernández DelgadoEva CernadasSenén BarroDinani Gomes AmorimPublished in: J. Mach. Learn. Res. (2014)
Keyphrases
- real world
- data mining
- training data
- data sets
- wide range
- case study
- test set
- classification algorithm
- machine learning methods
- machine learning algorithms
- extracted features
- real life
- linear classifiers
- decision trees
- classification models
- classification systems
- multiple classifiers
- class labels
- training samples
- feature set
- training set
- support vector
- objective function