2. The table below shows the predictions made for a classification task on a test dataset. Ground Prediction ID Ground Prediction ID Ground Prediction ID Truth Truth Truth 1 False True 2 False False 3 False False 4 False False 5 True True 6 False False 7 True True False False False False True False True 8 9 10 11 12 13 14 True True False False True False True 15 16 17 18 19 20 True False True False True True False False False True True True Based on the above information, calculate the evaluation measures listed below a) A confusion matrix (using the rate instead of the absolute number) (1 points) b) Misclassification rate (1 point) c) Precision, Recall, and F1 measures. (1 points)