02.7 10 Points You are to evaluate the performance of two classification models, M1 and M2. The test set consists of 10 binary features, labeled as A1, - - -, A10. The following table shows the predicted probabilities by applying each model to the test set. Assume that positive class is the class of interest as usual. Instance TrueC lass 1 [\\3 ++ 0': + 00 K] I I G3 + |_| 0 Suppose you decide to use the model M1 with the threshold 0.5. That is, any test instance whose predicted probability is greater than or equal to 0.5 will be classified as a positive example. Compute the recall