A combined model based on feature selection and support vector machine for PM2.5 prediction.
Xiaocong LaiHua LiYing PanPublished in: J. Intell. Fuzzy Syst. (2021)
Keyphrases
- feature selection
- support vector machine
- prediction accuracy
- stock market prediction
- support vector
- small sample
- multi class
- machine learning
- text categorization
- feature space
- classification accuracy
- svm classifier
- feature vectors
- text classification
- prediction algorithm
- knn
- feature set
- selected features
- k nearest neighbor
- support vector machine svm
- ensemble classifier
- kernel methods
- prediction model
- prediction error
- mutual information
- svm classification
- feature reduction
- models built
- decision boundary
- feature subset
- radial basis function
- classification method
- kernel function
- support vector regression
- multi task
- information gain
- feature weighting
- microarray data
- parameter optimization
- decision forest
- training data
- redundant features
- automatic relevance determination
- training set