AODE achieves highly accurate classification by averaging over all of a small space of alternative naive-Bayes-like models that h…

AODEsr augments AODE with Subsumption Resolution.AODEsr detects specializations between two attribute values at classification ti…

Implements Bayesian Logistic Regression for both Gaussian and Laplace Priors. For more information, see Alexander Genkin, David D…

Bayes Network learning using various search algorithms and quality measures. Base class for a Bayes Network classifier. Provides …

Class for building and using a Complement class Naive Bayes classifier. For more information see, Jason D. Rennie, Lawrence Shih,…

Class for building and using a Discriminative Multinomial Naive Bayes classifier. For more information see, Jiang Su,Harry Zhang,…

Contructs Hidden Naive Bayes classification model with high classification accuracy and AUC. For more information refer to: H. Zh…

Class for a Naive Bayes classifier using estimator classes. Numeric estimator precision values are chosen based on analysis of th…

Class for building and using a multinomial Naive Bayes classifier. For more information see, Andrew Mccallum, Kamal Nigam: A Comp…

Class for building and using a multinomial Naive Bayes classifier. For more information see, Andrew Mccallum, Kamal Nigam: A Comp…

Class for building and using a simple Naive Bayes classifier.Numeric attributes are modelled by a normal distribution. For more i…

Class for a Naive Bayes classifier using estimator classes. This is the updateable version of NaiveBayes. This classifier will us…

A meta classifier for handling multi-class datasets with 2-class classifiers by building an ensemble of nested dichotomies. For m…

Class for running an arbitrary classifier on data that has been passed through an arbitrary filter. Like the classifier, the stru…

Implements Grading. The base classifiers are "graded". For more information, see A.K. Seewald, J. Fuernkranz: An Evaluation of Gr…

Performs a grid search of parameter pairs for the a classifier (Y-axis, default is LinearRegression with the "Ridge" parameter) a…

Class for performing additive logistic regression. This class performs classification using a regression scheme as the base learn…

A wrapper class for the libsvm tools (the libsvm classes, typically the jar file, need to be in the classpath to use this classif…

Class for using linear regression for prediction. Uses the Akaike criterion for model selection, and is able to deal with weighte…

Class for building and using a multinomial logistic regression model with a ridge estimator. There are some modifications, howeve…