A hyper-parameter tuning approach for cost-sensitive support vector machine classifiers.
Rosita GuidoMaria Carmela GrocciaDomenico ConfortiPublished in: Soft Comput. (2023)
Keyphrases
- parameter tuning
- cost sensitive
- support vector machine classifiers
- support vector machine
- multi class
- misclassification costs
- cost sensitive learning
- class distribution
- cost sensitive classification
- parameter settings
- active learning
- svm classifier
- class imbalance
- k nearest neighbor
- naive bayes
- machine learning
- feature vectors
- face recognition
- feature selection
- model selection
- probabilistic model
- training set
- support vector
- training data