An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms.
Márcio P. BasgaluppRodrigo C. BarrosAlex Guimarães Cardoso de SáGisele L. PappaRafael Gomes MantovaniAndré C. P. L. F. de CarvalhoAlex Alves FreitasPublished in: Evol. Intell. (2021)
Keyphrases
- decision trees
- classification algorithm
- computational cost
- terms of classification accuracy
- benchmark datasets
- optimization problems
- automated classification
- feature vectors
- computational complexity
- pattern recognition
- evolutionary algorithm
- feature extraction
- semi automated
- classification method
- support vector
- theoretical analysis
- computationally efficient
- support vector machine
- image classification
- collaborative filtering
- nearest neighbor
- orders of magnitude
- data mining algorithms
- data structure
- classification accuracy
- automatic classification
- significant improvement
- nearest neighbour
- uci machine learning repository
- preprocessing
- machine learning