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Hi to all my tech buddies i am very new to matlab and this is my second week learning the course. I am face with a dilemma i was ask to plot the training and testing set with the decision plane of each classifier and to evaluate the classifiers by using the testing accuracy .I was ask to use minimum of two classifiers( knn bayes decision tree and LDF(fisher and perl). I plotted the training and testing set and the rest i am stuck. Can any one please help me with the coding or how to code it..I am to use this data set http://archive.ics.uci.edu/ml/datasets/Blood+Transfusion+Service+Center.
. any form of help will be highly appreciated..
Thanks In advance Susan