Comparative study of support vector machines and random forests machine learning algorithms on credit operation.
Germanno TelesJoel J. P. C. RodriguesRicardo A. L. RabêloSergei A. KozlovPublished in: Softw. Pract. Exp. (2021)
Keyphrases
- random forests
- comparative study
- machine learning algorithms
- support vector
- learning machines
- learning algorithm
- benchmark data sets
- learning problems
- logistic regression
- decision trees
- machine learning
- credit scoring
- learning tasks
- machine learning methods
- support vector machine
- machine learning approaches
- decision tree ensembles
- tree ensembles
- loss function
- kernel function
- cross validation
- meta learning
- machine learning models
- kernel methods
- random forest
- training examples
- classification accuracy
- feature selection
- data mining
- cost sensitive
- radial basis function
- neural network
- svm classifier
- information extraction
- regression forests
- standard machine learning algorithms