Q.

Assume that you are given a data set and a neural network model trained on the data set. You
are asked to build a decision tree model with the sole purpose of understanding/interpreting
the built neural network model. In such a scenario, which among the following measures would
you concentrate most on optimising?

A. accuracy of the decision tree model on the given data set
B. f1 measure of the decision tree model on the given data set
C. fidelity of the decision tree model, which is the fraction of instances on which the neural network and the decision tree give the same output
D. comprehensibility of the decision tree model, measured in terms of the size of the corresponding rule set
Answer» C. fidelity of the decision tree model, which is the fraction of instances on which the neural network and the decision tree give the same output
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