Classification of the Risk Types of Human Papillomavirus by Decision Trees.
Seong-Bae ParkSohyun HwangByoung-Tak ZhangPublished in: IDEAL (2003)
Keyphrases
- decision trees
- predictive accuracy
- machine learning algorithms
- decision tree induction
- random forest
- classification rules
- decision rules
- machine learning
- automatic classification
- naive bayes
- classification scheme
- support vector
- pattern recognition
- classification algorithm
- classification method
- classification trees
- neural network
- risk management
- feature construction
- decision tree algorithm
- training set
- feature vectors
- decision tree learning
- preprocessing
- benchmark datasets
- support vector machine svm
- classification models
- training data
- text classification
- supervised learning
- decision tree algorithms
- classification process
- rule induction
- rule sets
- attribute selection
- multivariate decision trees
- feature selection
- classification accuracy
- machine learning methods
- cross validation
- logistic regression
- multi class
- support vector machine