On the Use of Default Parameter Settings in the Empirical Evaluation of Classification Algorithms.
Anthony J. BagnallGavin C. CawleyPublished in: CoRR (2017)
Keyphrases
- empirical evaluation
- parameter settings
- parameter tuning
- classification algorithm
- machine learning algorithms
- theoretical analysis
- parameter values
- feature selection
- feature extraction
- genetic algorithm ga
- support vector machine
- machine learning
- search algorithm
- decision trees
- pairwise
- cross validation
- training set
- feature space
- black box
- learning algorithm
- neural network
- population size