30 results
- Go to itemClass for boosting a nominal class classifier using the Adaboost M1 method. For further options, click the 'More' - button in the…0
- Go to itemMeta classifier that enhances the performance of a regression base classifier. For further options, click the 'More' - button in …0
- Go to itemDimensionality of training and test data is reduced by attribute selection before being passed on to a classifier. For further op…0
- Go to itemClass for doing classification using regression methods. For further options, click the 'More' - button in the dialog. All weka d…0
- Go to itemClass for bagging a classifier to reduce variance. For further options, click the 'More' - button in the dialog. All weka dialogs…0
- Go to itemClass for selecting a classifier from among several using cross validation on the training data or the performance on the trainin…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 meta classifier for handling multi-class datasets with 2-class classifiers by building a random data-balanced tree structure. F…0
- Go to itemA meta classifier for handling multi-class datasets with 2-class classifiers by building a random tree structure. For further opt…0
- Go to itemMeta classifier that allows standard classification algorithms to be applied to ordinal class problems. For further options, clic…0
- Go to itemPerforms a grid search of parameter pairs for the a classifier (Y-axis, default is LinearRegression with the "Ridge" parameter) a…0
- Go to itemClass for performing additive logistic regression. For further options, click the 'More' - button in the dialog. All weka dialogs…0
- Go to itemThis metaclassifier makes its base classifier cost-sensitive. For further options, click the 'More' - button in the dialog. All w…0
- Go to itemClass for boosting a classifier using the MultiBoosting method. For further options, click the 'More' - button in the dialog. All…0
- Go to itemA metaclassifier for handling multi-class datasets with 2-class classifiers. For further options, click the 'More' - button in th…0
- Go to itemImplements StackingC (more efficient version of stacking). For further options, click the 'More' - button in the dialog. All weka…0
- Go to itemCombines several classifiers using the stacking method. For further options, click the 'More' - button in the dialog. All weka di…0
- Go to itemA metaclassifier that selecting a mid-point threshold on the probability output by a Classifier. For further options, click the '…0
- Go to itemClass for combining classifiers. Different combinations of probability estimates for classification are available. For further op…0
- Go to itemClassifier for incremental learning of large datasets by way of racing logit-boosted committees. For further options, click the '…0