Predictive and Prescriptive Analytics Define the following terms: Decision tree, entropy, true positive, false positive, true negative, false negative, dependent variable, independent variable, regression coefficient. Name and describe the three key decisions in creating a decision tree as discussed in class. Why should you split your data into training data and testing data when conducting predictive analytics? What is a confusion matrix? How is it used to assess the quality of a decision tree? Given a table of results from a decision tree analysis, create a confusion matrix. Given the results of a confusion matrix analysis, assess the quality of the decision tree from which the results where created. (Note: I'll give you the statistics, you won't need to compute them.)