Prediction of Credit Risk based on Logistic Regression and Random Forest technique.
Xinyi YangPublished in: ICCSIE (2022)
Keyphrases
- logistic regression
- random forest
- credit scoring
- credit risk
- decision trees
- random forests
- fold cross validation
- prediction accuracy
- naive bayes
- ensemble methods
- survival analysis
- support vector
- prediction model
- breast cancer
- evaluation method
- multi label
- feature set
- loss function
- base classifiers
- training set
- training data
- data sets
- machine learning algorithms
- nearest neighbor
- risk analysis
- financial data
- exchange rate
- active learning
- information retrieval