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Read Morealgorithm is to build models with good generalization capability; i.e., models that accurately predict the class labels of previously unknown records. Figure 4.3 shows a general approach for solving classification problems. First, a training set consisting of records whose class labels are known must Induction Deduction Model Learn Model Apply
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Read MoreFeb 01, 2001 Classifier fusion assumes that all classifiers are trained over the whole feature space, and are thereby considered as competitive rather than complementary , . Multiple classifier outputs are usually made comparable by scaling them to the [0,1] interval
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