Class implementing an Apriori-type algorithm. Iteratively reduces the minimum support until it finds the required number of rules…

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

Class implementing the FP-growth algorithm for finding large item sets without candidate generation. Iteratively reduces the mini…

Class implementing a GSP algorithm for discovering sequential patterns in a sequential data set. The attribute identifying the di…

Class implementing the predictive apriori algorithm to mine association rules. It searches with an increasing support threshold f…

Finds rules according to confirmation measure (Tertius-type algorithm). For more information see: P. A. Flach, N. Lachiche (1999)…

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 doing classification using regression methods. Class is binarized and one regression model is built for each class valu…

A metaclassifier that makes its base classifier cost-sensitive. Two methods can be used to introduce cost-sensitivity: reweightin…

Class for performing parameter selection by cross-validation for any classifier. For more information, see: R. Kohavi (1995). Wra…

This meta classifier creates a number of disjoint, stratified folds out of the data and feeds each chunk of data to a copy of the…

DECORATE is a meta-learner for building diverse ensembles of classifiers by using specially constructed artificial training examp…

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…