1. The following pivot table was shown in the Naive Bayes video for the simplified loan offer acceptance example with two predictors. Given this pivot table, what is the probability of loan acceptance for a customer with CredictCard=0 and Online=0?

2. The amount of computation in k-nearest neighbors increases when... (mark all that apply) Group of answer choices

A. the to-be-predicted dataset is very large

B. the distance metric is computationally taxing the

C. training set is very large

D. the number of predictors is very large