Feature selection based on machine learning for credit scoring : An evaluation of filter and embedded methods.
Siham AkilSara SekkateAbdellah AdibPublished in: INISTA (2021)
Keyphrases
- information entropy
- credit scoring
- feature selection
- classification and regression trees
- machine learning
- rough set theory
- pattern recognition
- image processing
- preprocessing
- machine learning algorithms
- text classification
- semi supervised
- high dimensional data
- support vector machine svm
- dimensionality reduction
- multi class
- knowledge discovery
- similarity measure
- learning algorithm