Distance measure for asymmetric binary attributes in data mining – T4Tutorials.com
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Distance measure for asymmetric binary attributes in data mining – T4Tutorials.com
In this tutorial, we will learn about the proximity measure for asymmetric binary attributes Here in this example, consider 1 for positive/True and 0 for negative/False. In table 1 we can consider the…
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Problem Five: (40 points) Consider the following data set comprised of three binary input attributes (A1, A2, and A3) and one binary output Y.Example:A1 A2 A3 Yx1 0 0 Nox2 1 0 Nox3 0 1 0 Nox4 1 -1 Yesx5 1 Yesa) What is the number of possible combinations?b) Use the decision tree learning algorithm to train a classification decision tree for the 5 examples. Show the computations made to determine the attribute to split at each node.c) Test the performance of the trained decision tree to determine
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