RLCS: A Classification System Based on Random Forest and Logistic Regression for Hybrid Zero-day Traffic.
Yulong LiangFei WangShuhui ChenPublished in: APNet (2022)
Keyphrases
- logistic regression
- random forest
- decision trees
- fold cross validation
- random forests
- support vector
- naive bayes
- logistic regression models
- feature set
- decision tree learning algorithms
- classification accuracy
- training data
- linear support vector machines
- ensemble methods
- machine learning algorithms
- classification trees
- training set
- feature ranking
- linear svm
- class membership probabilities
- loss function
- classification models
- ensemble classifier
- cross validation
- data sets
- machine learning
- image classification
- supervised learning
- information extraction
- support vector machine
- image segmentation