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