Improving Prediction Accuracy for Logistic Regression on Imbalanced Datasets.
Hao ZhangZhuolin LiHossain ShahriarLixin TaoPrabir BhattacharyaYing QianPublished in: COMPSAC (1) (2019)
Keyphrases
- logistic regression
- prediction accuracy
- imbalanced datasets
- ensemble methods
- predictive power
- decision trees
- random forests
- support vector
- naive bayes
- cost sensitive learning
- class distribution
- loss function
- random forest
- binary classification
- base classifiers
- class imbalance
- high dimensional
- machine learning
- multi class
- sampling methods
- association rules