SOLVE ALL OF THE QUESTIONS 1. What is the difference between Sensitivity and Specificity in terms of measuring the classification rates of any model? Give a practical example. (10 pts.) 2. How can you determine the data imputation method if it is required to apply it to your dataset? (10 pts 3. Compare the Hold-out and k-fold cross-validation Briefiy explain the advantages and disadvantages (20 pts) 4. Design a backpropagation neural network to simulate the XDR gate. You are free to determine random initial weights and an independent threshold value for each tayereuron (You should prove that the determined weights and threshold values are simulating the XOR gate), (30 pts.) 5. X is the input for the given dataset, and 2 is the output Train the data using a Linear Regression. (30 pts.) 1 2 3 4 5 XNm 15 8186 30 40