You built a spam email classifier with these results: Pr…

You built a spam email classifier with these results: Pred: Not Spam Pred: Spam Actual: Not Spam 180 20 Actual: Spam 10 90 Answer: Calculate the accuracy of the model. Calculate the precision and recall for detecting spam. In this context, is it worse to have a false positive (legitimate email marked as spam) or false negative (spam not caught)? Explain why and how you might adjust the model NOTE: It is sufficient to show the proper formula with values. You do not need to calculate the actual result. 

A dataset of employee salaries has the following statistics:…

A dataset of employee salaries has the following statistics: Mean: $85,000, Median: $62,000, Mode: $55,000Answer:What does the relationship between mean and median tell you about the distribution shape?Why might the median be a better measure of “typical” salary than the mean?What could be causing the mean to be so much higher than the median?