**118**
results

- Go to itemAODE achieves highly accurate classification by averaging over all of a small space of alternative naive-Bayes-like models that h…0
- Go to itemAODE achieves highly accurate classification by averaging over all of a small space of alternative naive-Bayes-like models that h…0
- Go to itemA2DE achieves highly accurate classification by averaging over all of a small space of alternative naive-Bayes-like models that h…0
- Go to itemA2DE achieves highly accurate classification by averaging over all of a small space of alternative naive-Bayes-like models that h…0
- Go to itemClass for boosting a nominal class classifier using the Adaboost M1 method Only nominal class problems can be tackled.Often drama…0
- Go to itemMeta classifier that enhances the performance of a regression base classifier Each iteration fits a model to the residuals left b…0
- Go to itemDimensionality of training and test data is reduced by attribute selection before being passed on to a classifier (based on WEKA …0
- Go to itemClass for building a best-first decision tree classifier This class uses binary split for both nominal and numeric attributes.For…0
- Go to itemBuilds a description of a Bayes Net classifier stored in XML BIF 0.3 format. For more details on XML BIF see: Fabio Cozman, Marek…0
- Go to itemClass for bagging a classifier to reduce variance Can do classification and regression depending on the base learner. For more in…0
- Go to itemBayes Network learning using various search algorithms and quality measures. Base class for a Bayes Network classifier Provides d…0
- Go to itemBayes Network learning using various search algorithms and quality measures. Base class for a Bayes Network classifier Provides d…0
- Go to itemImplements Bayesian Logistic Regression for both Gaussian and Laplace Priors. For more information, see Alexander Genkin, David D…0
- Go to itemCHIRP is an iterative sequence of three stages (projecting, binning, and covering) that are designed to deal with the curse of di…0
- Go to itemClass for performing parameter selection by cross-validation for any classifier. For more information, see: R Kohavi (1995).Wrapp…0
- Go to itemA meta classifier for handling multi-class datasets with 2-class classifiers by building a random class-balanced tree structure. …0
- Go to itemA simple meta-classifier that uses a clusterer for classification For cluster algorithms that use a fixed number of clusterers, l…0
- Go to itemClass for doing classification using regression methods Class is binarized and one regression model is built for each class value…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 itemThis class implements a single conjunctive rule learner* that can predict for numeric and nominal class labels. A rule consists o…0