Frequency Bands Selection for Seizure Classification and Forecasting Using NLP, Random Forest and SVM Models.
Ziwei WangPaolo MengoniPublished in: BI (2021)
Keyphrases
- random forest
- fold cross validation
- decision trees
- support vector machine svm
- support vector
- support vector machine
- selected features
- feature set
- frequency band
- classification models
- feature selection
- svm classifier
- machine learning
- random forests
- feature vectors
- ensemble classifier
- classification accuracy
- feature space
- ensemble methods
- machine learning algorithms
- classification algorithm
- machine learning methods
- natural language processing
- logistic regression
- generalization ability
- knn
- supervised learning
- multi label
- prediction accuracy
- k nearest neighbor
- feature extraction