% 55%. 8:25 PM gastate.view.usg.edu Sprint Problem 2 (20 points). Please use the decision tree constructed from Problem 1 to test the data records in Table 2 (Dataset B). Compare the predicted classes of WetGrass, with the actual classes, and construct the confusion matrix. Finally, compute the following evaluation metrics 2.1) Confusion Matrix (10 points) 2.2) Evaluation Metrics (10 points) Accuracy = Error rate = Sensitivity Specificity Precision = Recall F1-scores Problem 3 (30 points). Please illustrate how to use Dataset A to construct a nave Bayesian classifier to predict the label ("WetGrass") of the data record X=("Rain"-"No", "Sprinkler"-"Yes") Problem 4 (20 points). Suppose we have the following neural network Rain Was