Question

you are working on a spam classification system using regularized logistic regression. "spam" is a positive class (y = 1) and "not spam" is the negative class (y = 0). you have trained your classifier and there are m = 1000 examples in the cross-validation set. the chart of predicted class vs. actual class is

Answer 1

Step-by-step explanation:

its to be in Y so it is 26 thanku if the answer is not correct sorry