PLEASE THIS IS AN EMERGENCY ANSWER THIS AS FAST AS YOU CAN

Table A shows asthma with actual and predicted class (after classification using medical test 1). Below are the details attributes of asthma data set that were extracted from general hospital. Let positive beland negative is 0. Attributes: 1. FC - Frequent cough 2. SB - Shortness of breath FTW - Feeling tired or weak WC - Wheezing or coughing FTUGM - Feeling tired, easily upset, grouchy, or moody LF - decreas or changes in lung function SCA - Sign of a cold or allergies TS - Trouble sleeping 6. 7. 8. 9. CP - chest pain or pressure 10. AGE Table A FC SB FTW WC FTUGM LF SCA TS CP AGE TESTED_POSITIVE PREDICTED_POSITIVE 12 6 1 1 0 1 1 0 60 12 1 1 20 5 0 0 1 1 0 0 34 30 1 1 3 10 1 0 1 0 1 0 23 25 0 0 6 6 1 0 0 O 0 1 22 40 0 1 7 7 1 1 1 1 1 0 60 60 1 1 3 10 0 O 1 1 1 0 70 65 1 0 15 16 1 1 0 0 0 1 34 45 0 0 5 8 1 1 0 0 0 0 23 3 1 0 11 13 1 1 0 0 1 1 32 56 1 1 9 12 0 0 1 1 0 0 62 25 0 1 17 5 1 1 0 1 0 1 26 26 1 0 19 12 0 0 0 1 1 1 53 66 1 0 13 7 0 0 1 0 1 24 36 0 1 8 18 1 1 0 0 1 55 21 0 1 -o 15 16 0 0 1 1 1 77 80 1 1 1 16 4 1 1 1 1 1 1 44 29 1 1 4 5 0 0 0 0 0 0 23 36 0 0 2. 3 1 1 1 1 1 0 61 62 1 0 14 11 O 0 1 1 1 0 42 42 1 1 16 3 1 1 0 O 0 0 63 18 0 0 Based on the data set given in Figure A, answer the following questions: a) Quantify the amount of True Positive (TP), True Negative (TN), False Positive (FP) and False Negative (FN) for the classification result [4 m] Answer (a) TP = TN = 4, FP = FN = b) Using your answers in a), calculate the accuracy, precision and recall for this classification (6 m] Answer (b) Accuracy = %, precision %, and recall = %