Optimized Naive-Bayes and Decision Tree Approaches for fMRI Smoking Cessation Classification.
Amirhessam TahmassebiAmir H. GandomiMieke H. J. SchulteAnna E. GoudriaanSimon Y. FooAnke Meyer-BaesePublished in: Complex. (2018)
Keyphrases
- naive bayes
- decision trees
- classification accuracy
- classification algorithm
- naive bayes classifier
- machine learning algorithms
- text classification
- logistic regression
- text classifiers
- probabilistic classifiers
- naive bayesian classifier
- conditional independence assumption
- bayesian classifier
- uci datasets
- cost sensitive
- uci data sets
- information gain
- feature selection
- decision tree learning algorithm
- training set
- tree augmented naive bayes
- training data
- attribute dependencies
- decision tree learners
- probability estimation
- machine learning
- naive bayes models
- augmented naive bayes
- base classifiers
- random forest
- bayesian network classifiers
- classification models
- ensemble methods
- classification rules
- text categorization
- naive bayes classification
- probability estimates
- bayesian classifiers
- feature space
- decision tree learning algorithms
- classification trees
- bayesian networks
- machine learning methods
- data sets
- text mining
- data analysis
- k nearest neighbor