41 results
- Go to itemClass implementing an Apriori-type algorithm. Iteratively reduces the minimum support until it finds the required number of rules…0
- Go to itemDECORATE is a meta-learner for building diverse ensembles of classifiers by using specially constructed artificial training examp…0
- Go to itemClass for building and using a 0-R classifier. Predicts the mean (for a numeric class) or the mode (for a nominal class). (based …0
- Go to itemClass for performing parameter selection by cross-validation for any classifier. For more information, see: R. Kohavi (1995). Wra…0
- Go to itemClass for constructing an unpruned decision tree based on the ID3 algorithm. Can only deal with nominal attributes. No missing va…0
- Go to itemImplementation of the voted perceptron algorithm by Freund and Schapire. Globally replaces all missing values, and transforms nom…0
- Go to itemClass for building and using a Complement class Naive Bayes classifier. For more information see, Jason D. Rennie, Lawrence Shih,…0
- Go to itemClass for performing additive logistic regression. This class performs classification using a regression scheme as the base learn…0
- Go to itemM5Base. Implements base routines for generating M5 Model trees and rules The original algorithm M5 was invented by R. Quinlan and…0
- Go to itemImplements Bayesian Logistic Regression for both Gaussian and Laplace Priors. For more information, see Alexander Genkin, David D…0
- Go to itemA metaclassifier for handling multi-class datasets with 2-class classifiers. This classifier is also capable of applying error co…0
- Go to itemClass for running an arbitrary classifier on data that has been passed through an arbitrary filter. Like the classifier, the stru…0
- Go to itemYiling Yang, Xudong Guan, Jinyuan You: CLOPE: a fast and effective clustering algorithm for transactional data. In: Proceedings o…0
- Go to itemClass for building and using a multinomial logistic regression model with a ridge estimator. There are some modifications, howeve…0
- Go to itemClass for running an arbitrary associator on data that has been passed through an arbitrary filter. Like the associator, the stru…0
- Go to itemClass for using linear regression for prediction. Uses the Akaike criterion for model selection, and is able to deal with weighte…0
- Go to itemGenerates a decision list for regression problems using separate-and-conquer. In each iteration it builds a model tree using M5 a…0
- Go to itemCluster data using the sequential information bottleneck algorithm. Note: only hard clustering scheme is supported. sIB assign fo…0
- Go to itemClass for construction a Rotation Forest. Can do classification and regression depending on the base learner. For more informatio…0
- Go to itemA metaclassifier that selecting a mid-point threshold on the probability output by a Classifier. The midpoint threshold is set so…0