Class for building and using a 0-R classifier Predicts the mean (for a numeric class) or the mode (for a nominal class). (based o…

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

Class for boosting a 2-class classifier using the Real Adaboost method. For more information, see J Friedman, T.Hastie, R. Tibshi…

Class for constructing an unpruned decision tree based on the ID3 algorithm Can only deal with nominal attributes.No missing valu…

Implementation of the voted perceptron algorithm by Freund and Schapire Globally replaces all missing values, and transforms nomi…

M5Base Implements base routines for generating M5 Model trees and rulesThe original algorithm M5 was invented by R. Quinlan and Y…

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

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

Yiling Yang, Xudong Guan, Jinyuan You: CLOPE: a fast and effective clustering algorithm for transactional data In: Proceedings of…

A metaclassifier for handling multi-class datasets with 2-class classifiers This classifier is also capable of applying error cor…

Cluster data using the sequential information bottleneck algorithm. Note: only hard clustering scheme is supported sIB assign for…

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

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

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

A metaclassifier for handling multi-class datasets with 2-class classifiers This classifier is also capable of applying error cor…

Class for construction a Rotation Forest Can do classification and regression depending on the base learner. For more information…

A metaclassifier that selecting a mid-point threshold on the probability output by a Classifier The midpoint threshold is set so …

HotSpot learns a set of rules (displayed in a tree-like structure) that maximize/minimize a target variable/value of interest Wit…

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

Class for building and using a decision table/naive bayes hybrid classifier At each point in the search, the algorithm evaluates …