Ensemble Machine Learning of Random Forest, AdaBoost and XGBoost for Vertical Total Electron Content Forecasting.
Randa NatrasBenedikt SojaMichael SchmidtPublished in: Remote. Sens. (2022)
Keyphrases
- random forest
- decision trees
- ensemble methods
- machine learning
- base classifiers
- ensemble learning
- machine learning methods
- random forests
- rotation forest
- ensemble classifier
- feature set
- learning algorithm
- multi class
- feature selection
- machine learning algorithms
- fold cross validation
- prediction accuracy
- training data
- base learners
- computer vision
- naive bayes
- data sets
- training set
- object detection
- genetic algorithm
- classification models
- benchmark datasets
- weak learners
- multi label
- majority voting
- logistic regression
- imbalanced data
- text classification
- information extraction
- subspace methods
- data mining
- reinforcement learning
- generalization ability
- text mining
- image features
- training samples
- image classification