An Empirical Comparison of Classification Algorithms for Imbalanced Credit Scoring Datasets.
Leopoldo Soares de Melo JuniorFranco Maria NardiniChiara RensoJosé Antônio Fernandes de MacêdoPublished in: ICMLA (2019)
Keyphrases
- credit scoring
- support vector machine svm
- binary classification problems
- logistic regression
- data mining algorithms
- imbalanced datasets
- pattern recognition
- data mining
- decision trees
- neural network
- machine learning
- text mining
- class imbalance
- class distribution
- data clustering
- classification rules
- classification and regression trees
- text classification
- principal component analysis
- support vector machine
- classification accuracy
- preprocessing
- feature extraction
- face recognition
- feature selection
- real world