Assume you have trained a binary classier. You test your classier on 10 test data points and get the following predictions (for example, as the result of calling model.predict_proba(...)): 0:51 0:49 0:40 0:60 0:51 0:49 0:51 0:49 0:49 0:51 0:49 0:51 0:60 0:40 0:40 0:60 0:60 0:40 0:60 0:40 where the rst column is the probabilities that the corresponding examples have label 0, and the second column is the probabilities that the examples have label 1. Assume that the true labels of your data points are: (0,1,0, 0,1, 1, 0,1, 0, 0). 1. (1%) What is the accuracy of your model on this test set. 2. (1%) What is the log-likelihood of your model on this test set. 3. (1%) Is your model good on this test set? Explain your answer.