(Choose 3 answers)
Suppose you are working on a spam classifier, where spam emails are positive examples (v=1) and non-spam emails are negative examples (y=0) . You have a training set of emails in which 99% of the ema are non-spam and the other 1% is spam. Which of the following statements are true? Check all that apply.
A. If you always predict non-spam (output y=0) your classifier will have a recall of 0%
B. If you always predict spam (output y=1 , your classifier will have a recall of 0% and precision of 99%.
C. If you always predict spam (output y=1) your classifier will have a recall of 100% and precision of 1%.
D. If you always predict non-spam (output y=0) , your classifier will have 99% accuracy on the training set,and it will likely perform similarly on the cross validation set.
Eatt 3
