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Difference between a training set and a testing set

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Reference no: EM133038378

a) A neural network has been constructed to predict the creditworthiness of applicants. There are two output nodes: one for yes (1 = yes, 0 = no) and one for no (1 = no, 0 = yes). An applicant receives a score of 0.83 for the "yes" output node and a 0.44 for the "no" output node.

Please explain what may have happened and whether the appli-cant is a good credit risk.

b) Please explain the difference between a training set and a testing set.

Why we need to differentiate them? Can the same set be used for both purposes? Why or why not?

Reference no: EM133038378

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