So what exactly are the answers

E) [5 points] Suppose that you are given a fixed budget of $50,000 to email targeted ads for the bottle warmer and that you decide to set your models to a modestly conservative 60% probability threshold. Using the confusion matrices from the BigML output and the cost/benefit matrix from Part A. what is the expected profit for each targeted advertisement sent when using the decision tree and when using logistic regression subject to your budget constraint? Based on your calculations, which model yields a greater expected profit, and would you recommend BabiesR.We send targeted ads