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If the training set is such that every combination of attribute valuesis present in the training data and each combination is either labeled positive or negative, which of the following classification techniques can be used to learn a model with perfect classification on the training set? Briefly explain your answer. a. Decision Treesb. Logistic Regressionc. NaiveBayesd. multi-layer ANNe. perceptron

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