Weka_classifiers

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R/Weka Classifiers

R interfaces to Weka classifiers.

Keywords
models, regression, classif
Details

Supervised learners, i.e., algorithms for classification and regression, are termed classifiers by Weka. (Numeric prediction, i.e., regression, is interpreted as prediction of a continuous class.)

R interface functions to Weka classifiers are created by make_Weka_classifier, and have formals formula, data, subset, na.action, and control (default: none), where the first four have the usual meanings for statistical modeling functions in R, and the last again specifies the control options to be employed by the Weka learner. By default, the model formulae should only use the + and - operators to indicate the variables to be included or not used, respectively.

Objects created by these interfaces always inherit from class Weka_classifier, and have at least suitable print, summary (via evaluate_Weka_classifier), and predict methods.