Question 16 Not yet answered Given the following true labels, and predicted labels output by a classification algorithm, compute the recall and write the final answer rounded to two positions after the decimal point y_true = (1, 0, 1,1,0,1,1,0,1,0,1,1,1,1,1,0,0,1,0, 1, 1] y_pred = [1,1,1,1,0,1,0,0,0,1,0,0,1,0,1,0,0,1,0, 1, 1] Marked out of 1.00 Flag question Answer: Question 17 Considers the the following output from a machine learning algorithm that predicts whether an email message is spam (YES) or not (NO) on a test set of 165 messages. Not yet answered Marked out of 1.00 Predicted: Predicted: NO YES n=165 Flag question 50 10 Actual: NO Actual: YES 5 100 Compute the accuracy of the model (rounded to two points after the decimal points) and provide the value in the space below Answer: Considers the the following output from a machine learning algorithm that predicts whether an email message is spam (YES) or not (NO) on a test set of 165 messages. Question 18 Not yet answered Marked out of 1.00 Predicted: Predicted: NO YES n=165 Flag question 50 10 Actual: : NO Actual: YES 5 100 What is the true negative rate? Compute and provide the value rounded to two points after the decimal points in the space below