Machine Learning ,thanks

Q-5) Explain the below Confusion Matrix with Respect to Machine Learning Algorithms.[15 pts] replace ? by your answer Actual Yes No Yes 12 3 3 Predicted No 1 9 9 Confusion Matrix For actual values: Total Yes = ? Total No = _? Similarly, for predicted values: Total Yes = ? Total No = ? For a model to be accurate, the values across the diagonals should be high. The total sum of all the values in the matrix equals the total observations in the test data set. For the above matrix, total observations = ? Now, accuracy = sum of the values across the diagonal/total datasete