Applying Machine Learning to LTE Traffic Prediction: Comparison of Bagging, Random Forest, and SVM.
Nikolai StepanovDaria AlekseevaAleksandr OmetovElena Simona LohanPublished in: ICUMT (2020)
Keyphrases
- random forest
- machine learning
- random subspace
- ensemble classifier
- decision trees
- ensemble methods
- random forests
- fold cross validation
- prediction accuracy
- rotation forest
- imbalanced data
- support vector machine
- feature ranking
- support vector
- machine learning methods
- support vector machine svm
- feature set
- ensemble learning
- training data
- generalization ability
- base classifiers
- decision tree learning algorithms
- feature selection
- multi label
- machine learning algorithms
- svm classifier
- supervised learning
- learning algorithm
- data sets
- model selection
- majority voting
- data mining
- active learning
- learning machines
- training set
- feature space
- similarity measure