Mental Stress Classification Based on a Support Vector Machine and Naive Bayes Using Electrocardiogram Signals.
Mingu KangSiho ShinGengjia ZhangJaehyo JungYoun Tae KimPublished in: Sensors (2021)
Keyphrases
- naive bayes
- support vector machine
- classification accuracy
- classification algorithm
- naive bayes classifier
- decision trees
- text classification
- feature selection
- uci datasets
- probabilistic classifiers
- naive bayesian classifier
- training data
- text classifiers
- class probabilities
- cost sensitive
- logistic regression
- svm classifier
- augmented naive bayes
- uci data sets
- support vector
- training set
- support vector machine svm
- bayesian network classifiers
- bayesian classifier
- probability estimation
- combining classifiers
- naive bayes models
- text categorization
- feature vectors
- decision boundary
- multi class
- document classification
- knn
- base classifiers
- naive bayes classification
- tree augmented naive bayes
- probability estimates
- averaged one dependence estimators
- machine learning
- test instances
- k nearest neighbor
- feature space
- learning algorithm
- hyperplane
- bayesian classifiers
- class labels
- feature extraction
- labeled data
- conditional independence assumption
- data sets
- kernel density estimators
- nearest neighbor
- machine learning algorithms
- classification models
- majority voting
- eeg signals