Principal Component Analysis and ReliefF Cascaded with Decision Tree for Credit Scoring.
Thitimanan DamrongsakmetheeVictor-Emil NeagoePublished in: CSOC (2) (2019)
Keyphrases
- credit scoring
- logistic regression
- decision trees
- principal component analysis
- information gain
- attribute selection
- naive bayes
- independent component analysis
- dimensionality reduction
- support vector machine svm
- linear discriminant analysis
- credit card
- discriminant analysis
- feature space
- feature extraction
- face recognition
- information entropy
- data sets
- feature selection
- random forest
- decision table
- decision rules
- training data
- loss function
- feature subset
- data mining methods
- classification rules
- text categorization
- text classification
- training set
- machine learning
- real world