MLRC MLRC Muliresponse Linear Regression Combiner
W = A*(WU*MLRC)
DescriptionUsing dataset A that contains the posterior probabilities of each instance belonging to each class predicted by the base classifiers to train a multiresponse linear regression combiner. If the original classification problem has K classes, it is converted into K seperate regression problems, where the problem for class c has instances with responses equal to 1 when they have label c and zero otherwise. Put in another way, this function establish a multiresponse linear regression model for each class and utilize these models to estimate the probability that the instances belong to each class. Note that in the model for class c, only the probabilities of class c predicted by the set of base classifiers are used. Reference(s)1. Ting, KM, Witten IH. Issues in stacked generalisation, Journal of Artificial Intelligent Research, 1999, 10: 271289. See alsodatasets, mappings, stacked, classc, testd, labeld,
