/** * Returns a string describing classifier * * @return a description suitable for * displaying in the explorer/experimenter gui */ public String globalInfo() { return "This method constructs a decision tree based classifier that " + "maintains highest accuracy on training data and improves on " + "generalization accuracy as it grows in complexity. The classifier " + "consists of multiple trees constructed systematically by " + "pseudorandomly selecting subsets of components of the feature vector, " + "that is, trees constructed in randomly chosen subspaces.\n\n" + "For more information, see\n\n" + getTechnicalInformation().toString(); }
/** * Returns a string describing classifier * * @return a description suitable for * displaying in the explorer/experimenter gui */ public String globalInfo() { return "This method constructs a decision tree based classifier that " + "maintains highest accuracy on training data and improves on " + "generalization accuracy as it grows in complexity. The classifier " + "consists of multiple trees constructed systematically by " + "pseudorandomly selecting subsets of components of the feature vector, " + "that is, trees constructed in randomly chosen subspaces.\n\n" + "For more information, see\n\n" + getTechnicalInformation().toString(); }