Choosing Between Two Classification Learning Algorithms Based on Calibrated Balanced 5 × 2 Cross-Validated F-Test.
Yu WangJihong LiYanfang LiPublished in: Neural Process. Lett. (2017)
Keyphrases
- cross validated
- learning algorithm
- cross validation
- fold cross validation
- machine learning algorithms
- quantile regression
- machine learning
- support vector
- support vector machine svm
- training samples
- feature selection
- log likelihood
- classification accuracy
- supervised learning
- model selection
- training set
- image classification
- feature vectors
- feature set
- svm classifier
- feature extraction
- hyperparameters
- supervised classification
- bayesian methods
- decision trees
- active learning
- machine learning methods
- benchmark data sets
- bayesian classifiers
- feature space