Use the churn data set at the book series website for the following exercises. Make sure that the correlated variables have been accounted for.

Next, apply a neural network model to predict churn. Calculate the following measures.

a. Proportion of false positives.

b. Proportion of false negatives.

c. Overall error rate.

d. Overall model accuracy (1 – overall error rate).

e. Sensitivity

f. Specificity