Your algorithm gets the following results in a classification experiment, where in the table, 'Id' is the index number, 'Prediction' is the predicted results, 'Target' is the ground truth that the classifier aims to achieve. Please compute the precision, recall, f-measure and accuracy manually (without the help of your computer/Python, please provide all steps and formulas). Include the process to get to the final result. [10%] Prediction Target Id 1 True True 2 True True 3 False True 4 True True 5 True True 6 False True 7 True True 8 True True 9 True True 10 False False 11 False False 12 False False 13 True False 14 False False 15 True False 16 False False 17 False False 18 True False 19 True False 20 False False