Logistic Regression and Random Forest for Effective Imbalanced Classification.
Hanwu LuoXiubao PanQingshun WangShasha YeYing QianPublished in: COMPSAC (1) (2019)
Keyphrases
- logistic regression
- random forest
- decision trees
- fold cross validation
- random forests
- logistic regression models
- support vector
- naive bayes
- imbalanced data
- feature ranking
- feature set
- machine learning algorithms
- ensemble methods
- linear support vector machines
- training data
- decision tree learning algorithms
- feature selection
- machine learning
- machine learning methods
- loss function
- classification trees
- imbalanced datasets
- base classifiers
- classification accuracy
- class distribution
- training set
- feature extraction
- learning algorithm
- neural network
- data sets