Algorithm Selection for Machine Learning Classification: An Application of the MELCHIOR Multicriteria Method.
Igor Pinheiro de Araújo CostaMarcio Pereira BasilioSérgio Mitihiro do Nascimento MaêdaMarcus Vinícius Gonçalves RodriguesMiguel Ângelo Lellis MoreiraCarlos Francisco Simões GomesMarcos dos SantosPublished in: MMBD/MLIS (2021)
Keyphrases
- classification method
- classification algorithm
- machine learning
- high accuracy
- preprocessing
- support vector machine svm
- selection algorithm
- benchmark data sets
- cost function
- improved algorithm
- computational cost
- detection algorithm
- k means
- machine learning methods
- computational complexity
- clustering method
- detection method
- accuracy rate
- segmentation method
- optimization algorithm
- segmentation algorithm
- learning algorithm
- support vector machine
- significant improvement
- decision tree algorithm
- objective function
- experimental evaluation
- dynamic programming
- classification rate
- nearest neighborhood
- recognition algorithm
- computationally efficient
- classification scheme
- decision trees
- similarity measure
- selection criterion
- machine learning algorithms
- training phase
- classification procedure
- classification accuracy
- pattern recognition
- input data
- decision tree induction algorithm
- nearest neighbour
- model selection
- training samples
- tree structure
- preprocessing stage
- probabilistic model
- matching algorithm
- optimization method
- em algorithm
- energy function
- text classification
- training process
- feature selection
- knn
- convergence rate
- training data
- expectation maximization
- roc curve
- feature extraction
- feature subset
- reinforcement learning
- cross validation
- optimal solution
- combination of multiple classifiers
- graph cuts