Question 14 KNN is based upon Select an answer and submit. For keyboard navigation, use the up/down arrow keys to select an answer a Finding K previous cases that are the most similar to the new case and using these cases to do the classification. b Finding K variables that are in common and using them in a logistic regression. C Finding K clusters of cases, None of the above Question 15 Methods that estimate the probability or likelihood that a case belongs to a group are incomplete without Select an answer and submit. For keyboard navigation, use the up/down arrow keys to select an answer. a A causal analysis that explains the contribution of each variable. b A decision rule to how to assign cases to groups based upon the probability. c A measure of error of the probability Nothing else is needed since you assign the case to the group if the probability exceeds 50%. Unanswered Unanswered Question 16 Among methods for binary classification Select an answer and submit For keyboard navigation, use the up/down arrow keys to select an answer Logistic regression is the most accurate, b Discriminant functions work best. KNN is the method of last resort. d They all work reasonably well. Unanswered a Unanswered Question 13 Errors in classification models Select an answer and submit. For keyboard navigation, use the up/down arrow keys to select an answer. a Are incorrect classifications. b May be measured in terms of various types of error rates, Are not measured in terms of the size of the error. All of the above. Unanswered Unanswered Question 12 A discriminant function Select an answer and submit. For keyboard navigation, use the up/down arrow keys to select an answer. a Is used to estimate the probability that a case is in a particular group. b Separates cases into many groups or clusters. n Is a function that separates the majority of values into two groups. d is the same as cluster analysis. Unanswered