| weka.classifiers.bayes |
|
| Java Source File Name | Type | Comment |
| AODE.java | Class |
AODE achieves highly accurate classification by averaging over all of a small space of alternative naive-Bayes-like models that have weaker (and hence less detrimental) independence assumptions than naive Bayes. |
| BayesNet.java | Class |
Bayes Network learning using various search algorithms and quality measures.
Base class for a Bayes Network classifier. |
| ComplementNaiveBayes.java | Class |
Class for building and using a Complement class Naive Bayes classifier.
For more information see,
Jason D. |
| HNB.java | Class |
Contructs Hidden Naive Bayes classification model with high classification accuracy and AUC.
For more information refer to:
H. |
| NaiveBayes.java | Class |
Class for a Naive Bayes classifier using estimator classes. |
| NaiveBayesMultinomial.java | Class |
Class for building and using a multinomial Naive Bayes classifier. |
| NaiveBayesMultinomialUpdateable.java | Class |
Class for building and using a multinomial Naive Bayes classifier. |
| NaiveBayesSimple.java | Class |
Class for building and using a simple Naive Bayes classifier.Numeric attributes are modelled by a normal distribution.
For more information, see
Richard Duda, Peter Hart (1973). |
| NaiveBayesUpdateable.java | Class |
Class for a Naive Bayes classifier using estimator classes. |
| WAODE.java | Class |
WAODE contructs the model called Weightily Averaged One-Dependence Estimators.
For more information, see
L. |