The Effect of Recursive Feature Elimination with Cross-Validation (RFECV) Feature Selection Algorithm toward Classifier Performance on Credit Card Fraud Detection.
Adi Zaenul MustaqimSumarni AdiYoga PristyantoYuli AstutiPublished in: ICAICST (2021)
Keyphrases
- cross validation
- recursive feature elimination
- feature selection algorithms
- support vector
- feature selection
- model selection
- support vector machine
- cancer diagnosis
- selected features
- data sets
- generalization error
- terms of classification accuracy
- training set
- gene selection
- feature set
- selection algorithm
- fraud detection
- classification accuracy
- class imbalance
- feature ranking
- feature subset
- kernel function
- learning algorithm
- genetic algorithm
- data mining
- svm classifier
- kernel methods
- loss function
- benchmark datasets
- text categorization
- text classification
- multi class
- artificial neural networks
- feature extraction
- face recognition
- neural network