|
Class Summary |
| AODE |
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 |
Base class for a Bayes Network classifier. |
| ComplementNaiveBayes |
Class for building and using a Complement class Naive Bayes classifier. |
| NaiveBayes |
Class for a Naive Bayes classifier using estimator classes. |
| NaiveBayesMultinomial |
The core equation for this classifier:
P[Ci|D] = (P[D|Ci] x P[Ci]) / P[D] (Bayes rule)
where Ci is class i and D is a document |
| NaiveBayesSimple |
Class for building and using a simple Naive Bayes classifier. |
| NaiveBayesUpdateable |
Class for a Naive Bayes classifier using estimator classes. |