Compute the Covariance Matrix for the following datapoints. Show all your calculations! Row F1 F2 F3 1 14 2 2 2 3 1 2 3 4 5 3 4 5 8 NWNWN 2 3 450 300 50 800 Compute and show all your work: 2 3 2 Answer the questions below: Apply standardization. Show computation of covariance for each pair of features F4 -1 22 0 9 1 Q2: 10p) Given the dataset below: Overcast Temperature Humidity Sunny Rainy Hot Cold Normal High 400 100 350 150 50 0 300 150 150 100 100 150 50 500 500 650 350 10 150 200 o Probability to play when it's Sunny, Hot, Normal Play Count o Probability to not play when it's Sunny, Hot, High Yes No Apply Laplacian correction The probability of each class of play (prior probabilities) Using Nave Bayes formula: 500 300 Maybe 200 Total 1000 o What features values will produce the highest probability of "Maybe" play. Q3: (10p): use Weka/Python to perform the algorithm above and show the results for the 3 queries.