Consider a binary prediction scenario, to decide whether consumers will purchase a product or not. If we use logistic regression for this scenario, and use p (event) to represent the probability of an event, the odds of purchase is calculated as a.p (purchase) + p (no purchase) b.p (purchase) X p (no purchase) c. p (no purchase)/ p (purchase) d. p(purchase)/ p (no purchase)