Comparing Naive Bayes, Decision Trees, and SVM with AUC and Accuracy.
Jin HuangJingjing LuCharles X. LingPublished in: ICDM (2003)
Keyphrases
- naive bayes
- decision trees
- classification accuracy
- probability estimation
- classification algorithm
- text classifiers
- uci data sets
- training data
- information gain
- naive bayes classifier
- support vector
- logistic regression
- feature selection
- decision tree learners
- bayes classifier
- training set
- cost sensitive
- highly skewed
- bayesian classifiers
- text classification
- bayesian classifier
- decision tree learning algorithms
- bayesian networks
- feature space
- probability estimates
- support vector machine svm
- text categorization
- base classifiers
- machine learning
- prediction accuracy
- bayesian network classifiers
- support vector machine
- test instances
- conditional independence assumption
- misclassification costs
- feature vectors
- classification rules
- neural network
- binary classification
- random forest
- ensemble methods
- feature set
- boosted decision trees
- augmented naive bayes
- feature extraction
- classification trees
- multi class classification
- machine learning algorithms
- feature subset