Assume you have trained a binary classifier. You test your classifier on 10 test data points and get the following predictions (for example, as the result of calling model.predict_proba(...)): where the first 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