/** * Returns a string describing classifier * @return a description suitable for * displaying in the explorer/experimenter gui */ public String globalInfo() { return "A regression scheme that employs any " + "classifier on a copy of the data that has the class attribute " + "discretized. The predicted value is the expected value of the " + "mean class value for each discretized interval (based on the " + "predicted probabilities for each interval). This class now " + "also supports conditional density estimation by building " + "a univariate density estimator from the target values in " + "the training data, weighted by the class probabilities. \n\n" + "For more information on this process, 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 "A regression scheme that employs any " + "classifier on a copy of the data that has the class attribute " + "discretized. The predicted value is the expected value of the " + "mean class value for each discretized interval (based on the " + "predicted probabilities for each interval). This class now " + "also supports conditional density estimation by building " + "a univariate density estimator from the target values in " + "the training data, weighted by the class probabilities. \n\n" + "For more information on this process, see\n\n" + getTechnicalInformation().toString(); }